Conversational AI Market

Report Code TC 6976
Published in May, 2025, By MarketsandMarkets™
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Conversational AI Market by Product Type (AI Chatbots, Voice Bots, Virtual Assistants, Gen AI Agents), Business Function (Sales & Marketing, Operations & Supply Chain, Finance & Accounting, HR), Integration Type, and End User - Global Forecast to 2031

 

Overview

The conversational AI market is set for significant expansion and is expected to grow from USD 17.05 billion in 2025 to USD 49.80 billion by 2031, indicating a strong CAGR of 19.6%. Conversational AI is rapidly transforming how organizations interact with users, driven by advances in language models and increased digital adoption. In healthcare and enterprise settings, adoption is accelerating as more than 50% of organizations have already invested in conversational AI for contact centers, with another 40% planning to adopt. This reflects strong confidence in AI’s ability to streamline operations and improve user experience. Public engagement is also rising, as seen with platforms like ChatGPT gaining over millions of users within months. As natural language models evolve, conversational AI is becoming a cornerstone of efficient, scalable, and intelligent human-machine interaction.

Conversational AI Market

Attractive Opportunities in the Conversational AI Market

ASIA PACIFIC

Conversational AI in Asia Pacific is booming due to widespread internet access and the strong desire for automated customer support across various industries. Progress in AI technologies and supportive government digital initiatives are also key drivers. This makes the region a hotbed for the expansion of conversational AI applications.

Rising consumer expectations for around-the-clock support are pushing organizations to implement conversational AI for continuous service delivery. This ensures uninterrupted customer engagement, enhances satisfaction, and builds stronger brand loyalty across global time zones.

Improvements in NLP algorithms are enabling conversational AI to understand complex queries and languages more accurately, broadening its application across geographies.

As businesses across the world embrace digital transformation, conversational AI is becoming a key enabler of smarter, faster communication. It supports the shift toward agile, tech-driven operations by modernizing customer interactions and internal workflows alike.

Increasing integration of AI chatbots in messaging services and the rising utilization of AI-based customer services to drive growth in the conversational AI market.

Global Conversational AI Market Dynamics

Driver: Growing language coverage and accessibility

Growing language coverage and accessibility are significant drivers in the conversational AI market. As AI technologies advance, support for hundreds of languages and dialects has enabled businesses to reach and engage users across the globe. This expansion breaks down language barriers, allowing companies to operate in diverse regions and tap into new markets that were previously inaccessible due to linguistic limitations. Moreover, the integration of AI-powered interfaces tailored for low-literacy populations is transforming user interaction. Instead of relying solely on text-based communication, conversational AI now incorporates voice recognition, speech synthesis, and intuitive visual elements. These features make technology more inclusive, enabling people with limited reading skills or educational backgrounds to interact effectively with digital services. This is particularly impactful in emerging markets, where literacy rates may vary widely, but smartphone adoption is increasing rapidly.

By combining multilingual capabilities with accessibility-focused design, conversational AI solutions help organizations deliver personalized, user-friendly experiences to broader and more diverse audiences. This not only boosts customer engagement and satisfaction but also drives adoption across sectors like healthcare, e-commerce, education, and government services. As a result, the growing emphasis on language and accessibility support is not just a technical achievement, it’s a strategic enabler of global growth in the conversational AI market.

Restraint: Infrastructure and latency constraints

Infrastructure and latency requirements present significant restraints in the conversational AI market. High-quality conversational AI systems, especially those based on large language models, demand substantial computational resources for both training and real-time inference. These models often rely on cloud-based infrastructure equipped with GPUs or specialized AI hardware, making them inaccessible to users in low-resource or offline environments. This dependence on high-end infrastructure raises concerns related to cost, scalability, and data privacy, particularly in regions lacking stable internet connectivity or advanced digital infrastructure. Latency is another critical factor, especially for voice-based real-time interactions such as virtual assistants or customer service bots. Users expect prompt and seamless responses, often within milliseconds. However, the processing time required to interpret spoken input, analyze context, and generate appropriate responses can introduce delays, especially if data must travel to and from remote servers. Such latency can degrade user experience, making conversational AI feel unnatural or frustrating. In offline or embedded applications, such as automotive voice assistants, rural healthcare tools, or mobile devices, these challenges are magnified. Running complex models locally to avoid latency and maintain responsiveness is often infeasible due to device limitations. Consequently, developers face a trade-off between model performance and deployment feasibility, restricting the market's ability to fully penetrate cost-sensitive or infrastructure-limited sectors.

 

Opportunity: Vertical-specific conversational AI solutions

Vertical-specific solutions present a compelling growth opportunity in the conversational AI market. As organizations across sectors such as legal, education, mental health, finance, and e-commerce increasingly adopt AI-driven tools, there is a rising demand for conversational assistants that are finely tuned to the unique requirements, terminology, and regulations of each domain. Generic AI models, while powerful, often lack the nuanced understanding needed in specialized industries. For instance, a legal chatbot must interpret and generate language with precision and adhere to ethical standards; similarly, an AI used in mental health must be empathetic, compliant with privacy laws, and sensitive to emotional cues. Custom large language models (LLMs) or fine-tuned models tailored to these verticals can deliver significantly better performance by incorporating industry-specific data, aligning with regulatory frameworks, and maintaining contextual awareness that a general model cannot provide. This customization not only improves user experience and trust but also opens monetization channels for AI developers through enterprise-grade solutions. As businesses seek more reliable, secure, and intelligent AI partners, providers that offer vertical-specific expertise will likely command a competitive edge. Furthermore, fine-tuning smaller, domain-specific models can reduce computational overhead while increasing accuracy, making the solutions more accessible and scalable across both large enterprises and niche markets.

Challenge: Lack of precision in resolving queries

One of the significant challenges in conversational AI is the lack of precision in resolving queries. Many chatbots and virtual assistants are created using generalized APIs, which can limit their ability to provide accurate or contextually relevant responses. These systems rely on pre-programmed instructions and stored data, which means that their answers are only as good as the information they have been trained on or programmed to retrieve. This can result in responses that feel generic, incomplete, or off mark, especially when a query falls outside of expected patterns or topics. To address this, companies are investing in more advanced AI technologies, such as natural language processing (NLP) and machine learning, in hopes of improving the accuracy and relevance of chatbot responses. These improvements aim to ensure that users are unable to easily distinguish between interactions with a bot and a human. However, achieving a level of human-like precision remains a challenge, as AI is still limited in its ability to fully grasp nuances, context, and intent the way humans can. Until these AI systems can reach the level of precision necessary for seamless human-like interaction, accuracy issues will continue to pose a barrier to the widespread adoption and effectiveness of conversational AI. This precision gap is a major obstacle for businesses looking to implement bots that can handle complex or varied queries in a meaningful and efficient manner.

Global Conversational AI Market Ecosystem Analysis

The conversation AI market ecosystem is shaped by a mix of vendors and different product types. This segmented ecosystem works collaboratively to enhance user experiences, automation efficiency, and business outcomes across various industries.

Top Companies in Conversational AI Market

Note: The above diagram only shows the representation of the Conversational AI Market ecosystem; it is not limited to the companies represented above.
Source: Secondary Research and MarketsandMarkets Analysis

 

By offering, the software segment to register the largest market share during the forecast period

The software segment is expected to register the largest market share in the conversational AI market during the forecast period due to its critical role in enabling intelligent interactions and seamless integration across platforms. As businesses increasingly adopt AI-driven solutions to enhance customer engagement, the demand for robust software tools continues to grow. Software enables the core functionalities of conversational AI, including understanding user intent, generating human-like responses, and learning from interactions to improve over time. Furthermore, software solutions offer scalability and flexibility, allowing organizations to customize applications across various industries such as retail, banking, healthcare, and customer service. The rise of cloud-based platforms and API-driven architectures also supports widespread adoption by reducing infrastructure costs and simplifying deployment. In contrast to hardware, which often involves higher upfront costs and slower upgrade cycles, software can be quickly updated and scaled to meet evolving user needs and regulatory requirements. Additionally, the rapid pace of innovation in AI algorithms and open-source frameworks encourages ongoing software development, fostering a dynamic ecosystem that continually enhances performance and user experience. These factors collectively position the software segment as the dominant force driving market growth in the conversational AI space.

By business function, operations & supply chain will account for the highest growth rate during the forecast period

The operations & supply chain business function is projected to witness the highest growth rate in the conversational AI market due to its potential to significantly optimize and automate key logistical processes. As supply chains grow in complexity and scale, enterprises increasingly adopt AI-powered conversational interfaces to streamline operations such as procurement, inventory tracking, and vendor communication. These systems enable real-time, 24/7 engagement across global networks, reducing delays and enhancing decision-making. Conversational AI tools, such as chatbots and voice assistants, are being integrated with Enterprise Resource Planning (ERP) and Supply Chain Management (SCM) systems. This allows for automated status updates, quick responses to supply disruptions, and improved coordination across departments and partners. For example, a virtual assistant can instantly update logistics teams on shipment statuses or alert procurement managers to low inventory levels without manual intervention. Furthermore, the rise of smart manufacturing and digital logistics under Industry 4.0 initiatives has increased the demand for intelligent automation. Conversational AI supports human-machine collaboration on factory floors and in distribution centers, offering hands-free interaction and faster access to critical data. These advantages make operations & supply chain an ideal use case for scalable AI deployment, driving its rapid adoption and leading to the highest growth within business functions.

North America is set to emerge as the largest regional market during the forecast period

North America is poised to emerge as the largest regional market in the conversational AI sector during the forecast period, driven by a combination of technological advancements, high digital adoption, and a robust startup ecosystem. The region, particularly the US, has been a hub for innovation in artificial intelligence, with major tech giants such as Google, Microsoft, IBM, AWS, and OpenAI heavily investing in conversational AI platforms, virtual assistants, and natural language processing (NLP) tools. These firms have set the benchmark in developing sophisticated AI models, making North America a leader in this domain. Furthermore, North American enterprises across industries—ranging from healthcare and finance to retail and customer service—are increasingly integrating conversational AI solutions to enhance customer engagement, automate support services, and reduce operational costs. The region also benefits from favorable regulatory frameworks, skilled workforce availability, and high smartphone and internet penetration, all of which accelerate the adoption of AI technologies.

The proliferation of cloud computing infrastructure and increasing demand for omnichannel customer experience further strengthen North America's position. In addition, strategic partnerships, R&D investments, and government initiatives aimed at fostering AI innovation contribute to sustained market growth. Overall, North America’s advanced technological landscape and business readiness position it as the dominant force in the global conversational AI market.

LARGEST REGION BY MARKET SHARE IN 2025
CANADA: FASTEST-GROWING MARKET IN REGION
Conversational AI Market by region

Recent Developments of Conversational AI Market

  • In May 2025, Kore.ai and Microsoft announced a strategic partnership to accelerate enterprise AI transformation. This integrates Kore.ai's conversational and generative AI capabilities with Microsoft's cloud and AI services, enabling enterprises to deploy AI-powered solutions at scale. The partnership focuses on enhancing employee and customer experiences through intelligent automation and seamless integration within existing Microsoft environments.
  • In April 2025, Microsoft Copilot Studio introduced a limited research preview of the "computer use" feature, enabling AI agents to interact directly with websites and desktop applications—navigating menus, clicking buttons, and entering data—effectively automating tasks even in systems lacking APIs. Additionally, new Microsoft Graph connectors for Guru and GitLab enhance integration capabilities, and support for customer-managed keys has been added to bolster data security. Other enhancements include advanced approvals in agent workflows, ROI analysis via Viva Insights, and improved analytics for autonomous agents.
  • In April 2025, IBM introduced the AI Agent for Customer Service within the watsonx Orchestrate platform. This feature, currently in technology preview for select customers, enables businesses to build and manage AI agents tailored to their specific needs, enhancing operational efficiency and customer service capabilities.
  • In April 2025, Google Cloud and Verizon collaborated to enhance customer experience through the integration of Google's generative AI technologies, including Vertex AI, Gemini models, and the Customer Engagement Suite. This collaboration has led to the development of advanced conversational AI tools that improve both customer and agent interactions.

Key Market Players

List of Top Conversational AI Market Companies

The Conversational AI Market is dominated by a few major players that have a wide regional presence. The major players in the Conversational AI Market are

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Scope of the Report

Report Attribute Details
Market size available for years 2020–2031
Base year considered 2024
Forecast period 2025–2031
Forecast units USD (Million)
Segments Covered Offering, Product Type, Business Function, Integration Type, and End User
Regions covered North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Key Questions Addressed by the Report

What is conversational AI?

Conversational AI refers to technologies that enable machines to understand, process, and respond to human language in a natural way. It powers applications like chatbots, virtual assistants, and voice-enabled devices. Using natural language processing (NLP), machine learning, and speech recognition, it allows for real-time, human-like interactions. The goal is to simulate conversation and improve user experience across digital platforms.

How secure is conversational AI?

Security depends on the platform. Most enterprise-grade solutions offer end-to-end encryption, user authentication, and data anonymization. However, organizations must ensure compliance with regulations like GDPR, HIPAA, and CCPA when deploying these systems.

What industries are adopting conversational AI the most?

Conversational AI is being adopted across a variety of industries, but it is particularly prevalent in e-commerce, healthcare, finance, and telecommunications. In e-commerce, conversational AI enhances shopping experiences through personalized recommendations and virtual shopping assistants. Healthcare providers use it for appointment scheduling and patient triage, while financial institutions apply it to streamline banking services and fraud detection. The flexibility and scalability of conversational AI make it applicable to virtually any industry looking to enhance customer interaction.

What is the projected size of the global conversational AI market by 2031?

According to MarketsandMarkets, the global conversational AI market is projected to grow from USD 17.05 billion in 2025 to USD 49.80 billion by 2031.

What is the expected CAGR of the conversational AI market during the forecast period?

The market is expected to grow at a CAGR of 19.6% from 2025 to 2031.

What is the Conversational AI market segmentation?

According to MarketsandMarkets, the market is segmented by Product Type (AI Chatbots, Voice Bots, Virtual Assistants, Gen AI Agents), Business Function (Sales & Marketing, Operations & Supply Chain, Finance & Accounting, HR), Integration Type, and End User

What deployment modes are analyzed in the conversational AI market?

The deployment modes include Cloud and On-premises. Cloud-Based deployment mode to grow at higher CAGR during the forecast period.

What are the key technologies used in conversational AI as per the report?

The technologies include ML, NLP & Deep Learning, and Speech Recognition.

Which offering segment is expected to hold the largest market share?

The software segment is expected to register the largest market share in the conversational AI market during the forecast period due to its critical role in enabling intelligent interactions and seamless integration across platforms.

Who are the End Users of Conversational AI according to the report?

According to the Report by MarketsandMarkets, end users include Enterprises such as BFSI, Retail & e-Commerce, Healthcare & Life Sciences, Technology & Software, Telecommunications, Media & Entertainment, Travel & Hospitality, Government & Defense, Energy & Utilities, Automotive, Transportation & Logistics, Others.

Which region is expected to dominate the conversational AI market?

According to MarketsandMarkets, North America is expected to dominate the market during the forecast period.

What key factors are driving the growth of the conversational AI market?

According to MarketsandMarkets, growth is driven by the rise in Increasing integration of AI chatbots in messaging services, Omnichannel deployment and reduced chatbot development cost, Growing language coverage and accessibility, Rising demand to implement AI-powered digital experience across government sector

How does the report categorize services in the conversational AI market?

The services are categorized into professional & managed services. Further the report categorizes the professional service as consulting & advisory, integration & deployment, support & maintenance, training & education.

What trends are shaping the conversational AI market?

Conversational AI is shaped by trends like the rise of large language models, which improve understanding and response quality. Multimodal interactions combining text, voice, and visuals are becoming more common, enhancing user engagement. Advances in context awareness help AI maintain more natural, coherent conversations. Personalization through user data is increasing, allowing tailored experiences. Lastly, ethical AI and privacy concerns are driving development toward transparent and secure systems.

How do organizations choose the right conversational AI solution?

Organizations choose the right conversational AI solution by first identifying their specific goals, such as improving customer support or automating sales. They evaluate the solution’s ability to understand their target audience’s language and handle complex queries. Integration capabilities with existing systems and ease of deployment are also key factors. Additionally, they consider scalability, customization options, and data privacy compliance. Finally, cost-effectiveness and vendor support play important roles in the decision.

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
38
RESEARCH METHODOLOGY
43
EXECUTIVE SUMMARY
55
PREMIUM INSIGHTS
62
MARKET OVERVIEW AND INDUSTRY TRENDS
65
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Increasing integration of AI chatbots in messaging services
    - Omnichannel deployment and reduced chatbot development cost
    - Growing language coverage and accessibility
    - Rising demand to implement AI-powered digital experience across government sector
    RESTRAINTS
    - Infrastructure and latency constraints
    - Data privacy and compliance concerns
    OPPORTUNITIES
    - Integration of computer vision with voice recognition technology to facilitate in-depth and personalized interactions
    - Vertical-specific conversational AI solutions
    - Agentic AI and workflow automation
    CHALLENGES
    - Apprehensiveness about disclosing personal or sensitive information
    - Lack of precision in resolving queries
  • 5.3 IMPACT OF 2025 US TARIFF – CONVERSATIONAL AI MARKET
    INTRODUCTION
    KEY TARIFF RATES
    PRICE IMPACT ANALYSIS
    - Strategic Shifts and Emerging Trends
    IMPACT ON COUNTRY/REGION
    - US
    - Strategic Shifts and Key Observations
    - Europe
    - Strategic Shifts and Key Observations
    - China
    - Strategic Shifts and Key Observations
    IMPACT ON END-USE INDUSTRIES
    - Retail and E-commerce
    - Healthcare & life sciences
    - Telecommunications
    - Healthcare
    - BFSI
  • 5.4 EVOLUTION OF CONVERSATIONAL AI MARKET
  • 5.5 CONVERSATIONAL AI MARKET ARCHITECTURE
  • 5.6 SUPPLY CHAIN ANALYSIS
  • 5.7 ECOSYSTEM ANALYSIS
    AI CHATBOTS
    VOICE BOTS
    VIRTUAL AGENT
    GENERATIVE AI AGENTS
  • 5.8 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
  • 5.9 CASE STUDY ANALYSIS
    HUMANA REDUCED COSTLY PRE-SERVICE CALLS AND IMPROVED CUSTOMER EXPERIENCE WITH IBM WATSONX
    CITY OF JOHNS CREEK AUTOMATED 24/7 CONTACT CENTER AND REDUCED AFTER-HOURS VOICEMAILS WITH AMAZON LEX
    JIO PARTNERED WITH HAPTIK TO DEVELOP WHATSAPP CHATBOT TO DELIVER SWIFT RESPONSES TO CUSTOMER QUERIES AND ENHANCE CUSTOMER EXPERIENCE
    CHIME FINANCIAL USED TWILIO PROGRAMMABLE MESSAGING AND TWILIO STUDIO TO DELIVER PERSONALIZED SUPPORT EXPERIENCE
    LEADING US SATELLITE TV PROVIDER RESOLVED 60% OF CUSTOMER QUERIES BY DEPLOYING [24]7 ENGAGEMENT CLOUD PLATFORM
  • 5.10 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - AI/ML
    - NLP & deep learning
    - Speech recognition
    COMPLEMENTARY TECHNOLOGIES
    - Data analytics
    - Cloud computing
    ADJACENT TECHNOLOGIES
    - AR/VR
    - IoT
    - Blockchain
    - Edge computing
    - Voice biometrics
  • 5.11 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    REGULATORY FRAMEWORK
    - North America
    - Europe
    - Asia Pacific
    - Middle East & Africa
    - Latin America
  • 5.12 PATENT ANALYSIS
    METHODOLOGY
    PATENTS FILED, BY DOCUMENT TYPE
    INNOVATION AND PATENT APPLICATIONS
  • 5.13 PRICING ANALYSIS
    AVERAGE SELLING PRICE OF OFFERING, BY PRODUCT TYPE, 2025
    AVERAGE SELLING PRICE, BY BUSINESS FUNCTION, 2025
  • 5.14 KEY CONFERENCES AND EVENTS (2025–2026)
  • 5.15 PORTER’S FIVE FORCES ANALYSIS
    THREAT OF NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    INTENSITY OF COMPETITIVE RIVALRY
  • 5.16 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
    TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
  • 5.17 KEY STAKEHOLDERS & BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
  • 5.18 CONVERSATIONAL AI BUSINESS MODELS
    SUBSCRIPTION-BASED MODEL
    PAY-PER-USE MODEL
    LICENSING AND PERPETUAL SOFTWARE MODEL
    CUSTOM DEVELOPMENT AND CONSULTATION MODEL
    TRANSACTIONAL MODEL
    PARTNERSHIP AND REVENUE SHARING MODEL
  • 5.19 CONVERSATIONAL AI MARKET: BEST PRACTICES
    DESIGN AND USER EXPERIENCE
    TRAINING AND OPTIMIZATION
    SECURITY AND COMPLIANCE
    INTEGRATION AND SCALABILITY
CONVERSATIONAL AI MARKET, BY OFFERING
109
  • 6.1 INTRODUCTION
    OFFERING: CONVERSATIONAL AI MARKET DRIVERS
  • 6.2 SOFTWARE
    BY DEPLOYMENT MODE
    - Cloud
    - On-premises
  • 6.3 SERVICES
    PROFESSIONAL SERVICES
    - Consulting & advisory
    - Integration & deployment
    - Support & maintenance
    - Training & education
    MANAGED SERVICES
CONVERSATIONAL AI MARKET, BY PRODUCT TYPE
123
  • 7.1 INTRODUCTION
    PRODUCT TYPE: CONVERSATIONAL AI MARKET DRIVERS
  • 7.2 AI CHATBOTS
    AI CHATBOTS TO ENHANCE CUSTOMER ENGAGEMENT AND DRIVE SALES
  • 7.3 VOICE BOTS
    VOICE BOTS TO IMPROVE SELF-SERVE RATES, HANDLE COMPLEX SCENARIOS FASTER, AND REDUCE NEED FOR HUMAN AGENTS
  • 7.4 VIRTUAL ASSISTANTS
    GROWING ROLE OF VIRTUAL ASSISTANTS IN ENHANCING PRODUCTIVITY AND USER EXPERIENCE
  • 7.5 GENERATIVE AI AGENTS
    TRANSFORMING CONVERSATIONS WITH GENERATIVE AI AGENTS IN CONVERSATIONAL AI MARKET
CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION
130
  • 8.1 INTRODUCTION
    BUSINESS FUNCTION: CONVERSATIONAL AI MARKET DRIVERS
  • 8.2 SALES & MARKETING
    CONTACT CENTER AUTOMATION
    - Businesses integrating AI-powered chatbots and voice assistants into their operations revolutionizing customer interactions
    BRANDING & ADVERTISEMENT
    - Enhancing sales and marketing through conversational AI in branding and advertisement
    CAMPAIGN MANAGEMENT
    - Revolutionizing sales and marketing campaigns with conversational AI for personalized engagement and precision targeting
    CUSTOMER ENGAGEMENT & RETENTION
    - Elevating customer engagement and retention through conversational AI-powered real-time interactions and automation
    OTHERS
  • 8.3 OPERATIONS & SUPPLY CHAIN
    WORKFLOW OPTIMIZATION
    - Streamlining operations and supply chains through conversational AI-powered workflow optimization
    SCHEDULING & ROUTING
    - Optimizing logistics and deliveries with conversational AI for intelligent scheduling and routing
    INVENTORY MANAGEMENT
    - Enhancing inventory control and efficiency with conversational AI-driven management systems
    VENDOR MANAGEMENT
    - Transforming vendor relationships and efficiency through conversational AI-powered management
    TASK & PROJECT MANAGEMENT ASSISTANCE
    - Optimizing supply chain efficiency with conversational AI-driven project management
    OTHERS
  • 8.4 FINANCE & ACCOUNTING
    VIRTUAL FINANCIAL ADVISORS
    - Revolutionizing financial services with AI-powered virtual advisory and personalized assistance
    EXPENSE TRACKING & REPORTING
    - Automating and streamlining expense management with conversational AI for enhanced efficiency
    DATA PRIVACY & COMPLIANCE MANAGEMENT
    - Strengthening data protection and ensuring regulatory compliance through conversational AI solutions
    AUTOMATED INVOICE PROCESSING
    - Streamlining invoice workflows and enhancing accuracy with conversational AI-powered automation
    OTHERS
  • 8.5 HUMAN RESOURCES (HR)
    EMPLOYEE ENGAGEMENT & ONBOARDING
    - Boosting employee engagement and streamlining onboarding with conversational AI solutions
    PERFORMANCE MANAGEMENT
    - Enhancing HR operations and driving employee development through conversational AI in performance management
    DOCUMENT MANAGEMENT
    - Optimizing HR document workflows and accessibility with conversational AI-powered management
    RECRUITMENT ASSISTANTS & SCREENING
    - Revolutionizing HR recruitment with conversational AI for streamlined screening and enhanced candidate experience
    OTHERS
  • 8.6 ITSM
    INCIDENT MANAGEMENT
    - Automating and enhancing incident resolution with conversational AI for improved user experience
    COST OPTIMIZATION
    - Reducing operational costs and boosting productivity with conversational AI-powered automation
    QUERY HANDLING
    - Improving user support and information access through intelligent conversational AI query handling
    KNOWLEDGE MANAGEMENT
    - Streamlining information access and enhancing support efficiency with conversational AI-driven knowledge management
    OTHERS
CONVERSATIONAL AI MARKET, BY INTEGRATION TYPE
146
  • 9.1 INTRODUCTION
    INTEGRATION TYPE: CONVERSATIONAL AI MARKET DRIVERS
  • 9.2 INTERNAL ENTERPRISE SYSTEMS
    CRM
    - Unlocking smarter customer engagement through conversational AI and CRM integration
    KNOWLEDGE BASE SYSTEMS
    - Empowering enterprise intelligence with conversational AI and knowledge-based system integration
  • 9.3 EXTERNAL COMMUNICATION CHANNELS
    MOBILE APPS
    - Enhancing user engagement with conversational AI integration in mobile apps
    IVR SYSTEMS
    - Revolutionizing customer support with AI-enhanced interactive voice response (IVR) systems
    MESSAGING SERVICES/PLATFORMS
    - Optimizing customer communication with conversational AI integration in messaging platforms
    WEBSITES
    - Enhancing customer experience with AI-driven chatbot integration on websites
    CONVERSATIONAL AI MARKET, BY END USER
CONVERSATIONAL AI MARKET, BY END USER
154
  • 10.1 INTRODUCTION
    END USERS: CONVERSATIONAL AI MARKET DRIVERS
  • 10.2 INDIVIDUAL USERS
  • 10.3 ENTERPRISES
    BFSI
    - Automated customer support
    - Conversational banking
    - Portfolio management
    - Investment advisory bots
    - Others
    RETAIL & E-COMMERCE
    - Voice commerce
    - Personalized recommendations
    - In-store assistance
    - Automated surveys
    - Automated order tracking and updates
    - Others
    HEALTHCARE & LIFE SCIENCES
    - Automated appointment booking
    - Patient engagement and follow-up
    - Self-health management
    - Symptom assessment and triage management
    - Others
    TECHNOLOGY & SOFTWARE
    - IT helpdesk support and troubleshooting
    - Software and application support
    - Project management and task tracking
    - Virtual IT procurement assistants
    - Others
    TELECOMMUNICATIONS
    - Customer support
    - Sales & upselling assistants
    - Technical support automation
    - Customer onboarding & KYC
    - Others
    MEDIA & ENTERTAINMENT
    - Content personalization
    - Immersive conversational gaming
    - Advertising & promotions
    - Content localization and translation
    - Others
    TRAVEL & HOSPITALITY
    - Virtual travel assistance
    - Personalized travel planning
    - Conversational check-ins
    - Others
    GOVERNMENT & DEFENSE
    - E-governance services
    - Public safety information dissemination
    - Virtual training assistants
    - Others
    ENERGY & UTILITIES
    - Customer service & engagement
    - Operations & infrastructure support
    - Automated billing and payment assistance
    - Regulatory, safety & compliance
    - Others
    AUTOMOTIVE
    - Pre-sales & showroom assistance
    - In-vehicle assistance
    - Post-sales support
    - Ai-powered navigation and route optimization
    - Others
    TRANSPORTATION & LOGISTICS
    - Port & terminal operations support
    - Driver support & onboarding bots
    - Warehouse operations assistants
    - Fleet health & maintenance bots
    - Others
    OTHER ENTERPRISES
CONVERSATIONAL AI MARKET, BY REGION
189
  • 11.1 INTRODUCTION
  • 11.2 NORTH AMERICA
    NORTH AMERICA: CONVERSATIONAL AI MARKET DRIVERS
    NORTH AMERICA: MACROECONOMIC OUTLOOK
    US
    - Rising need for call centers that provide better customer support services to drive demand for conversational AI solutions
    CANADA
    - Need to elevate client satisfaction, optimize productivity, and stimulate innovation to fuel demand for conversational AI solutions
  • 11.3 EUROPE
    EUROPE: CONVERSATIONAL AI MARKET DRIVERS
    EUROPE: MACROECONOMIC OUTLOOK
    UK
    - Increasing adoption of AI-powered customer support services and rise in deployment of omnichannel methods to drive market
    GERMANY
    - Conversational AI to enhance customer service, automate processes, and elevate user experience
    FRANCE
    - Focus on developing advanced conversational AI solutions to spur market growth
    ITALY
    - Emphasis on technological advancements, cost-efficiency, and evolving customer expectations
    SPAIN
    - Strong technological ecosystem and focus on research and development in AI to fuel demand for conversational AI solutions
    REST OF EUROPE
  • 11.4 ASIA PACIFIC
    ASIA PACIFIC: CONVERSATIONAL AI MARKET DRIVERS
    ASIA PACIFIC: MACROECONOMIC OUTLOOK
    CHINA
    - Integration of conversational AI solutions into operational frameworks to drive market
    INDIA
    - Increasing internet penetration, expanding smartphone usage, and government’s ‘Digital India’ initiative to propel market
    JAPAN
    - Aging population, labor shortage, and government’s initiatives to promote AI adoption to accelerate market growth
    SOUTH KOREA
    - Technological innovation, high internet penetration rates, and government initiatives to propel market
    ASEAN
    - Government initiatives to promote digital transformation to foster market growth
    AUSTRALIA & NEW ZEALAND
    - Increasing digitalization, adoption of AI technologies across industries, and demand for personalized customer experience to
    REST OF ASIA PACIFIC
  • 11.5 MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET DRIVERS
    MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
    UAE
    - ‘UAE Vision 2021, ’ Dubai’s Smart City initiatives, and favorable investment climate to spur market growth
    KSA
    - Increasing adoption of advanced technologies, robust telecommunications infrastructure, and rising internet penetration rates to drive market
    QATAR
    - ‘Qatar Vision 2030’ and other government initiatives, and thriving tourism and hospitality sector to accelerate market growth
    EGYPT
    - Growing demand for personalized customer experience and streamlined business processes to propel market
    SOUTH AFRICA
    - Increasing adoption of advanced technologies, robust telecommunications infrastructure, and rising internet penetration rates to drive market
    REST OF MIDDLE EAST & AFRICA
  • 11.6 LATIN AMERICA
    LATIN AMERICA: CONVERSATIONAL AI MARKET DRIVERS
    LATIN AMERICA: MACROECONOMIC OUTLOOK
    BRAZIL
    - Increasing digitalization, rising internet and smartphone penetration, and emergence of multilingual chatbots to boost market growth
    MEXICO
    - Rapidly evolving digital landscape and increasing adoption of AI-driven technologies to boost demand for conversational AI solutions
    ARGENTINA
    - Rising demand for personalized customer experience to drive conversational AI market
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
251
  • 12.1 OVERVIEW
  • 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2022–2025
  • 12.3 REVENUE ANALYSIS, 2020–2024
  • 12.4 MARKET SHARE ANALYSIS, 2024
    MARKET RANKING ANALYSIS
  • 12.5 PRODUCT COMPARATIVE ANALYSIS
    PRODUCT COMPARATIVE ANALYSIS, BY PROMINENT/ LEADING VENDOR
    - Kore.ai (Kore.ai Platform)
    - Microsoft (Azure Bot Services + Copilot)
    - Google (Dialogflow)
    - IBM (Watsonx Assistant)
    - AWS (AWS Lex)
  • 12.6 COMPANY VALUATION AND FINANCIAL METRICS
  • 12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2024
    - Company footprint
    - Regional footprint
    - Product type footprint
    - Business function footprint
    - End user footprint
  • 12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    - Detailed list of key startups/SMEs
    - Competitive benchmarking of key startups/SMEs
  • 12.9 COMPETITIVE SCENARIO
    PRODUCT LAUNCHES AND ENHANCEMENTS
    DEALS
COMPANY PROFILES
289
  • 13.1 INTRODUCTION
  • 13.2 KEY PLAYERS
    MICROSOFT
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    - MnM view
    IBM
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    GOOGLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    AWS
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    KORE.AI
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    ORACLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    OPENAI
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    BAIDU
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SAP
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    LIVEPERSON
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    [24]7.AI
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    EGAIN
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SOUNDHOUND AI
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    VERINT
    ANTHROPIC
    SPRINKLR
    GUPSHUP
    YELLOW.AI
    TWILIO
    UNIPHORE
  • 13.3 OTHER PLAYERS
    TENEO.AI
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    AISERA
    LAIYE
    OMILIA
    INBENTA
    AVAAMO
    COGNIGY
    ONEREACH.AI
    BOOST.AI
    HAPTIK
    CONVERSICA
    QUIQ
    RASA
    PYPESTREAM
    CREATIVE VIRTUAL
    SENSEFORTH.AI
    RULAI
    VERLOOP.IO
    KASISTO
    EXCEED.AI
    CLINC
    MINDMELD
    SAARTHI.AI
    GRIDSPACE
ADJACENT AND RELATED MARKETS
373
  • 14.1 INTRODUCTION
  • 14.2 SPEECH ANALYTICS MARKET - GLOBAL FORECAST TO 2029
    MARKET DEFINITION
    MARKET OVERVIEW
    - Speech analytics market, by offering
    - Speech analytics market, by deployment type
    - Speech analytics market, by business function
    - Speech analytics market, by channel
    - Speech analytics market, by vertical
    - Speech analytics market, by region
  • 14.3 CHATBOT MARKET - GLOBAL FORECAST TO 2028
    MARKET DEFINITION
    MARKET OVERVIEW
    - Chatbot market, by offering
    - Chatbot market, by type
    - Chatbot market, by channel integration
    - Chatbot market, by bot communication
    - Chatbot market, by business function
    - Chatbot market, by vertical
    - Chatbot market, by region
APPENDIX
386
  • 15.1 DISCUSSION GUIDE
  • 15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 15.3 CUSTOMIZATION OPTIONS
  • 15.4 RELATED REPORTS
  • 15.5 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 USD EXCHANGE RATES, 2020–2024
  • TABLE 2 PRIMARY INTERVIEWS
  • TABLE 3 FACTOR ANALYSIS
  • TABLE 4 GLOBAL CONVERSATIONAL AI MARKET SIZE AND GROWTH RATE, 2020–2024 (USD MILLION, Y-O-Y)
  • TABLE 5 GLOBAL CONVERSATIONAL AI MARKET SIZE AND GROWTH RATE, 2025–2031 (USD MILLION, Y-O-Y)
  • TABLE 6 US-ADJUSTED RECIPROCAL TARIFF RATES
  • TABLE 7 CONVERSATIONAL AI MARKET: ECOSYSTEM
  • TABLE 8 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 9 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 10 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 11 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 13 PATENTS FILED, 2016–2025
  • TABLE 14 LIST OF FEW PATENTS IN CONVERSATIONAL AI MARKET, 2024–2025
  • TABLE 15 AVERAGE SELLING PRICE OF OFFERING, BY PRODUCT TYPE, 2025
  • TABLE 16 AVERAGE SELLING PRICE, BY BUSINESS FUNCTION, 2025
  • TABLE 17 CONVERSATIONAL AI MARKET: DETAILED LIST OF CONFERENCES & EVENTS, 2025–2026
  • TABLE 18 PORTER’S FIVE FORCES’ IMPACT ON CONVERSATIONAL AI MARKET
  • TABLE 19 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
  • TABLE 20 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
  • TABLE 21 CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 22 CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 23 CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION)
  • TABLE 24 CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2025–2031 (USD MILLION)
  • TABLE 25 CLOUD: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 26 CLOUD: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 27 ON-PREMISES: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 28 ON-PREMISES: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 29 CONVERSATIONAL AI MARKET, BY SERVICE, 2020–2024 (USD MILLION)
  • TABLE 30 CONVERSATIONAL AI MARKET, BY SERVICE, 2025–2031 (USD MILLION)
  • TABLE 31 CONVERSATIONAL AI MARKET, BY PROFESSIONAL SERVICE, 2020–2024 (USD MILLION)
  • TABLE 32 CONVERSATIONAL AI MARKET, BY PROFESSIONAL SERVICE, 2025–2031 (USD MILLION)
  • TABLE 33 CONSULTING & ADVISORY: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 34 CONSULTING & ADVISORY: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 35 INTEGRATION & DEPLOYMENT: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 36 INTEGRATION & DEPLOYMENT: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 37 SUPPORT & MAINTENANCE: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 38 SUPPORT & MAINTENANCE: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 39 TRAINING & EDUCATION: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 40 TRAINING & EDUCATION: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 41 MANAGED CONVERSATIONAL AI SERVICES: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 42 MANAGED CONVERSATIONAL AI SERVICES: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 43 CONVERSATIONAL AI MARKET, BY PRODUCT TYPE, 2020–2024 (USD MILLION)
  • TABLE 44 CONVERSATIONAL AI MARKET, BY PRODUCT TYPE, 2025–2031 (USD MILLION)
  • TABLE 45 AI CHATBOTS: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 46 AI CHATBOTS: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 47 VOICE BOTS: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 48 VOICE BOTS: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 49 VIRTUAL ASSISTANTS: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 50 VIRTUAL ASSISTANTS: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 51 GENERATIVE AI AGENTS: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 52 GENERATIVE AI AGENTS: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 53 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2020–2024 (USD MILLION)
  • TABLE 54 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2025–2031 (USD MILLION)
  • TABLE 55 SALES & MARKETING: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 56 SALES & MARKETING: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 57 OPERATIONS & SUPPLY CHAIN: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 58 OPERATIONS & SUPPLY CHAIN: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 59 FINANCE & ACCOUNTING: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 60 FINANCE & ACCOUNTING: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 61 HUMAN RESOURCES (HR): CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 62 HUMAN RESOURCES (HR): CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 63 ITSM: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 64 ITSM: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 65 CONVERSATIONAL AI MARKET, BY INTEGRATION TYPE, 2020–2024 (USD MILLION)
  • TABLE 66 CONVERSATIONAL AI MARKET, BY INTEGRATION TYPE, 2025–2031 (USD MILLION)
  • TABLE 67 INTERNAL ENTERPRISE SYSTEMS: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 68 INTERNAL ENTERPRISE SYSTEMS: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 69 EXTERNAL COMMUNICATION CHANNELS: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 70 EXTERNAL COMMUNICATION CHANNELS: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 71 CONVERSATIONAL AI MARKET, BY END USER, 2020–2024 (USD MILLION)
  • TABLE 72 CONVERSATIONAL AI MARKET, BY END USER, 2025–2031 (USD MILLION)
  • TABLE 73 INDIVIDUAL USERS: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 74 INDIVIDUAL USERS: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 75 CONVERSATIONAL AI MARKET, BY ENTERPRISE, 2020–2024 (USD MILLION)
  • TABLE 76 CONVERSATIONAL AI MARKET, BY ENTERPRISE, 2025–2031 (USD MILLION)
  • TABLE 77 BFSI: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 78 BFSI: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 79 RETAIL & E-COMMERCE: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 80 RETAIL & E-COMMERCE: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 81 HEALTHCARE & LIFE SCIENCES: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 82 HEALTHCARE & LIFE SCIENCES: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 83 TECHNOLOGY & SOFTWARE: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 84 TECHNOLOGY & SOFTWARE: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 85 TELECOMMUNICATIONS: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 86 TELECOMMUNICATIONS: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 87 MEDIA & ENTERTAINMENT: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 88 MEDIA & ENTERTAINMENT: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 89 TRAVEL & HOSPITALITY: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 90 TRAVEL & HOSPITALITY: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 91 GOVERNMENT & DEFENSE: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 92 GOVERNMENT & DEFENSE: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 93 ENERGY & UTILITIES: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 94 ENERGY & UTILITIES: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 95 AUTOMOTIVE: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 96 AUTOMOTIVE: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 97 TRANSPORTATION & LOGISTICS: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 98 TRANSPORTATION & LOGISTICS: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 99 OTHER ENTERPRISES: CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 100 OTHER ENTERPRISES: CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 101 CONVERSATIONAL AI MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 102 CONVERSATIONAL AI MARKET, BY REGION, 2025–2031 (USD MILLION)
  • TABLE 103 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 104 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 105 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION)
  • TABLE 106 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2025–2031 (USD MILLION)
  • TABLE 107 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY SERVICE, 2020–2024 (USD MILLION)
  • TABLE 108 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY SERVICE, 2025–2031 (USD MILLION)
  • TABLE 109 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY PROFESSIONAL SERVICE, 2020–2024 (USD MILLION)
  • TABLE 110 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY PROFESSIONAL SERVICE, 2025–2031 (USD MILLION)
  • TABLE 111 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2020–2024 (USD MILLION)
  • TABLE 112 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2025–2031 (USD MILLION)
  • TABLE 113 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY INTEGRATION TYPE, 2020–2024 (USD MILLION)
  • TABLE 114 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY INTEGRATION TYPE, 2025–2031 (USD MILLION)
  • TABLE 115 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY PRODUCT TYPE, 2020–2024 (USD MILLION)
  • TABLE 116 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY PRODUCT TYPE, 2025–2031 (USD MILLION)
  • TABLE 117 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY END USER, 2020–2024 (USD MILLION)
  • TABLE 118 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY END USER, 2025–2031 (USD MILLION)
  • TABLE 119 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY ENTERPRISE, 2020–2024 (USD MILLION)
  • TABLE 120 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY ENTERPRISE, 2025–2031 (USD MILLION)
  • TABLE 121 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
  • TABLE 122 NORTH AMERICA: CONVERSATIONAL AI MARKET, BY COUNTRY, 2025–2031 (USD MILLION)
  • TABLE 123 US: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 124 US: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 125 CANADA: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 126 CANADA: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 127 EUROPE: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 128 EUROPE: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 129 EUROPE: CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION)
  • TABLE 130 EUROPE: CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2025–2031 (USD MILLION)
  • TABLE 131 EUROPE: CONVERSATIONAL AI MARKET, BY SERVICE, 2020–2024 (USD MILLION)
  • TABLE 132 EUROPE: CONVERSATIONAL AI MARKET, BY SERVICE, 2025–2031 (USD MILLION)
  • TABLE 133 EUROPE: CONVERSATIONAL AI MARKET, BY PROFESSIONAL SERVICE, 2020–2024 (USD MILLION)
  • TABLE 134 EUROPE: CONVERSATIONAL AI MARKET, BY PROFESSIONAL SERVICE, 2025–2031 (USD MILLION)
  • TABLE 135 EUROPE: CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2020–2024 (USD MILLION)
  • TABLE 136 EUROPE: CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2025–2031 (USD MILLION)
  • TABLE 137 EUROPE: CONVERSATIONAL AI MARKET, BY INTEGRATION TYPE, 2020–2024 (USD MILLION)
  • TABLE 138 EUROPE: CONVERSATIONAL AI MARKET, BY INTEGRATION TYPE, 2025–2031 (USD MILLION)
  • TABLE 139 EUROPE: CONVERSATIONAL AI MARKET, BY PRODUCT TYPE, 2020–2024 (USD MILLION)
  • TABLE 140 EUROPE: CONVERSATIONAL AI MARKET, BY PRODUCT TYPE, 2025–2031 (USD MILLION)
  • TABLE 141 EUROPE: CONVERSATIONAL AI MARKET, BY END USER, 2020–2024 (USD MILLION)
  • TABLE 142 EUROPE: CONVERSATIONAL AI MARKET, BY END USER, 2025–2031 (USD MILLION)
  • TABLE 143 EUROPE: CONVERSATIONAL AI MARKET, BY ENTERPRISE, 2020–2024 (USD MILLION)
  • TABLE 144 EUROPE: CONVERSATIONAL AI MARKET, BY ENTERPRISE, 2025–2031 (USD MILLION)
  • TABLE 145 EUROPE: CONVERSATIONAL AI MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
  • TABLE 146 EUROPE: CONVERSATIONAL AI MARKET, BY COUNTRY, 2025–2031 (USD MILLION)
  • TABLE 147 UK: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 148 UK: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 149 GERMANY: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 150 GERMANY: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 151 FRANCE: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 152 FRANCE: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 153 ITALY: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 154 ITALY: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 155 SPAIN: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 156 SPAIN: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 157 REST OF EUROPE: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 158 REST OF EUROPE: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 159 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 160 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 161 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION)
  • TABLE 162 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2025–2031 (USD MILLION)
  • TABLE 163 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY SERVICE, 2020–2024 (USD MILLION)
  • TABLE 164 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY SERVICE, 2025–2031 (USD MILLION)
  • TABLE 165 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY PROFESSIONAL SERVICE, 2020–2024 (USD MILLION)
  • TABLE 166 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY PROFESSIONAL SERVICE, 2025–2031 (USD MILLION)
  • TABLE 167 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2020–2024 (USD MILLION)
  • TABLE 168 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2025–2031 (USD MILLION)
  • TABLE 169 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY INTEGRATION TYPE, 2020–2024 (USD MILLION)
  • TABLE 170 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY INTEGRATION TYPE, 2025–2031 (USD MILLION)
  • TABLE 171 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY PRODUCT TYPE, 2020–2024 (USD MILLION)
  • TABLE 172 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY PRODUCT TYPE, 2025–2031 (USD MILLION)
  • TABLE 173 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY END USER, 2020–2024 (USD MILLION)
  • TABLE 174 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY END USER, 2025–2031 (USD MILLION)
  • TABLE 175 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY ENTERPRISE, 2020–2024 (USD MILLION)
  • TABLE 176 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY ENTERPRISE, 2025–2031 (USD MILLION)
  • TABLE 177 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
  • TABLE 178 ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY COUNTRY, 2025–2031 (USD MILLION)
  • TABLE 179 CHINA: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 180 CHINA: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 181 INDIA: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 182 INDIA: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 183 JAPAN: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 184 JAPAN: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 185 SOUTH KOREA: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 186 SOUTH KOREA: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 187 ASEAN: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 188 ASEAN: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 189 AUSTRALIA & NEW ZEALAND: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 190 AUSTRALIA & NEW ZEALAND: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 191 REST OF ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 192 REST OF ASIA PACIFIC: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 193 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 194 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 195 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION)
  • TABLE 196 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2025–2031 (USD MILLION)
  • TABLE 197 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY SERVICE, 2020–2024 (USD MILLION)
  • TABLE 198 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY SERVICE, 2025–2031 (USD MILLION)
  • TABLE 199 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY PROFESSIONAL SERVICE, 2020–2024 (USD MILLION)
  • TABLE 200 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY PROFESSIONAL SERVICE, 2025–2031 (USD MILLION)
  • TABLE 201 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2020–2024 (USD MILLION)
  • TABLE 202 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2025–2031 (USD MILLION)
  • TABLE 203 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY INTEGRATION TYPE, 2020–2024 (USD MILLION)
  • TABLE 204 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY INTEGRATION TYPE, 2025–2031 (USD MILLION)
  • TABLE 205 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY PRODUCT TYPE, 2020–2024 (USD MILLION)
  • TABLE 206 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY PRODUCT TYPE, 2025–2031 (USD MILLION)
  • TABLE 207 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY END USER, 2020–2024 (USD MILLION)
  • TABLE 208 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY END USER, 2025–2031 (USD MILLION)
  • TABLE 209 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY ENTERPRISE, 2020–2024 (USD MILLION)
  • TABLE 210 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY ENTERPRISE, 2025–2031 (USD MILLION)
  • TABLE 211 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
  • TABLE 212 MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY COUNTRY, 2025–2031 (USD MILLION)
  • TABLE 213 UAE: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 214 UAE: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 215 KSA: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 216 KSA: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 217 QATAR: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 218 QATAR: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 219 EGYPT: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 220 EGYPT: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 221 SOUTH AFRICA: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 222 SOUTH AFRICA: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 223 REST OF MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 224 REST OF MIDDLE EAST & AFRICA: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 225 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 226 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 227 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2020–2024 (USD MILLION)
  • TABLE 228 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2025–2031 (USD MILLION)
  • TABLE 229 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY SERVICE, 2020–2024 (USD MILLION)
  • TABLE 230 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY SERVICE, 2025–2031 (USD MILLION)
  • TABLE 231 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY PROFESSIONAL SERVICE, 2020–2024 (USD MILLION)
  • TABLE 232 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY PROFESSIONAL SERVICE, 2025–2031 (USD MILLION)
  • TABLE 233 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2020–2024 (USD MILLION)
  • TABLE 234 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2025–2031 (USD MILLION)
  • TABLE 235 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY INTEGRATION TYPE, 2020–2024 (USD MILLION)
  • TABLE 236 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY INTEGRATION TYPE, 2025–2031 (USD MILLION)
  • TABLE 237 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY PRODUCT TYPE, 2020–2024 (USD MILLION)
  • TABLE 238 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY PRODUCT TYPE, 2025–2031 (USD MILLION)
  • TABLE 239 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY END USER, 2020–2024 (USD MILLION)
  • TABLE 240 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY END USER, 2025–2031 (USD MILLION)
  • TABLE 241 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY ENTERPRISE, 2020–2024 (USD MILLION)
  • TABLE 242 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY ENTERPRISE, 2025–2031 (USD MILLION)
  • TABLE 243 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
  • TABLE 244 LATIN AMERICA: CONVERSATIONAL AI MARKET, BY COUNTRY, 2025–2031 (USD MILLION)
  • TABLE 245 BRAZIL: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 246 BRAZIL: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 247 MEXICO: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 248 MEXICO: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 249 ARGENTINA: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 250 ARGENTINA: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 251 REST OF LATIN AMERICA: CONVERSATIONAL AI MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 252 REST OF LATIN AMERICA: CONVERSATIONAL AI MARKET, BY OFFERING, 2025–2031 (USD MILLION)
  • TABLE 253 OVERVIEW OF STRATEGIES ADOPTED BY KEY CONVERSATIONAL AI VENDORS, 2022–2025
  • TABLE 254 CONVERSATIONAL AI MARKET: DEGREE OF COMPETITION
  • TABLE 255 REGIONAL FOOTPRINT (20 COMPANIES), 2024
  • TABLE 256 PRODUCT TYPE FOOTPRINT (20 COMPANIES), 2024
  • TABLE 257 BUSINESS FUNCTION FOOTPRINT (20 COMPANIES), 2024
  • TABLE 258 END USER FOOTPRINT (20 COMPANIES), 2024
  • TABLE 259 CONVERSATIONAL AI MARKET: KEY STARTUPS/SMES, 2024
  • TABLE 260 CONVERSATIONAL AI MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES, 2024
  • TABLE 261 CONVERSATIONAL AI MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, 2022–2025
  • TABLE 262 CONVERSATIONAL AI MARKET: DEALS, 2022–2025
  • TABLE 263 MICROSOFT: BUSINESS OVERVIEW
  • TABLE 264 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 265 MICROSOFT: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 266 MICROSOFT: DEALS
  • TABLE 267 IBM: COMPANY OVERVIEW
  • TABLE 268 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 269 IBM: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 270 IBM: DEALS
  • TABLE 271 GOOGLE: COMPANY OVERVIEW
  • TABLE 272 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 273 GOOGLE: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 274 GOOGLE: DEALS
  • TABLE 275 AWS: COMPANY OVERVIEW
  • TABLE 276 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 277 AWS: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 278 AWS: DEALS
  • TABLE 279 KORE.AI: COMPANY OVERVIEW
  • TABLE 280 KORE.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 281 KORE.AI: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 282 KORE.AI: DEALS
  • TABLE 283 ORACLE: COMPANY OVERVIEW
  • TABLE 284 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 285 ORACLE: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 286 ORACLE: DEALS
  • TABLE 287 OPENAI: COMPANY OVERVIEW
  • TABLE 288 OPENAI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 289 OPENAI: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 290 OPENAI: DEALS
  • TABLE 291 BAIDU: COMPANY OVERVIEW
  • TABLE 292 BAIDU: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 293 BAIDU: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 294 SAP: COMPANY OVERVIEW
  • TABLE 295 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 296 SAP: DEALS
  • TABLE 297 LIVEPERSON: COMPANY OVERVIEW
  • TABLE 298 LIVEPERSON: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 299 LIVEPERSON: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 300 LIVEPERSON: DEALS
  • TABLE 301 [24]7.AI: COMPANY OVERVIEW
  • TABLE 302 [24]7.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 303 [24]7.AI: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 304 EGAIN: COMPANY OVERVIEW
  • TABLE 305 EGAIN: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 306 EGAIN: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 307 EGAIN: DEALS
  • TABLE 308 SOUNDHOUND AI: COMPANY OVERVIEW
  • TABLE 309 SOUNDHOUND AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 310 SOUNDHOUND AI: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 311 SOUNDHOUND AI: DEALS
  • TABLE 312 TENEO.AI: COMPANY OVERVIEW
  • TABLE 313 TENEO.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 314 TENEO.AI: DEALS
  • TABLE 315 SPEECH ANALYTICS MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 316 SPEECH ANALYTICS MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 317 SPEECH ANALYTICS SOFTWARE MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 318 SPEECH ANALYTICS SOFTWARE MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
  • TABLE 319 SPEECH ANALYTICS MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
  • TABLE 320 SPEECH ANALYTICS MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
  • TABLE 321 SPEECH ANALYTICS MARKET, BY CHANNEL, 2019–2023 (USD MILLION)
  • TABLE 322 SPEECH ANALYTICS MARKET, BY CHANNEL, 2024–2029 (USD MILLION)
  • TABLE 323 SPEECH ANALYTICS MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 324 SPEECH ANALYTICS MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 325 SPEECH ANALYTICS MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 326 SPEECH ANALYTICS MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 327 CHATBOT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
  • TABLE 328 CHATBOT MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 329 CHATBOT MARKET, BY TYPE, 2017–2022 (USD MILLION)
  • TABLE 330 CHATBOT MARKET, BY TYPE, 2023–2028 (USD MILLION)
  • TABLE 331 CHATBOT MARKET, BY CHANNEL INTEGRATION, 2017–2022 (USD MILLION)
  • TABLE 332 CHATBOT MARKET, BY CHANNEL INTEGRATION, 2023–2028 (USD MILLION)
  • TABLE 333 CHATBOT MARKET, BY BOT COMMUNICATION, 2017–2022 (USD MILLION)
  • TABLE 334 CHATBOT MARKET, BY BOT COMMUNICATION, 2023–2028 (USD MILLION)
  • TABLE 335 CHATBOT MARKET, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
  • TABLE 336 CHATBOT MARKET, BY BUSINESS FUNCTION, 2023–2028 (USD MILLION)
  • TABLE 337 CHATBOT MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
  • TABLE 338 CHATBOT MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 339 CHATBOT MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 340 CHATBOT MARKET, BY REGION, 2023–2028 (USD MILLION)
LIST OF FIGURES
 
  • FIGURE 1 CONVERSATIONAL AI MARKET: RESEARCH DESIGN
  • FIGURE 2 DATA TRIANGULATION
  • FIGURE 3 CONVERSATIONAL AI MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 4 APPROACH 1, BOTTOM-UP (SUPPLY SIDE): REVENUE FROM SOFTWARE/SERVICES OF CONVERSATIONAL AI MARKET
  • FIGURE 5 APPROACH 2, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/SERVICES OF CONVERSATIONAL AI MARKET
  • FIGURE 6 APPROACH 3, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/SERVICES OF CONVERSATIONAL AI MARKET
  • FIGURE 7 APPROACH 4, BOTTOM-UP (DEMAND SIDE): SHARE OF CONVERSATIONAL AI THROUGH OVERALL DIGITAL SOLUTIONS SPENDING
  • FIGURE 8 SOFTWARE SEGMENT TO ACCOUNT FOR LARGER MARKET SIZE IN 2025
  • FIGURE 9 CLOUD SEGMENT SET TO REGISTER LARGER MARKET SHARE IN 2025
  • FIGURE 10 PROFESSIONAL SERVICES SEGMENT TO ACCOUNT FOR LARGER MARKET SIZE IN 2025
  • FIGURE 11 INTEGRATION & DEPLOYMENT SERVICES SEGMENT TO HOLD LARGEST MARKET SHARE IN 2025
  • FIGURE 12 AI CHATBOTS SEGMENT TO ACCOUNT FOR LARGEST MARKET SIZE IN 2025
  • FIGURE 13 SALES & MARKETING SEGMENT SET TO REGISTER LARGEST MARKET SHARE IN 2025
  • FIGURE 14 EXTERNAL COMMUNICATION CHANNELS SEGMENT TO HOLD LARGER MARKET SIZE IN 2025
  • FIGURE 15 ENTERPRISES SEGMENT SET TO REGISTER LARGER MARKET SHARE IN 2025
  • FIGURE 16 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 17 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 18 INCREASING INTEGRATION OF AI CHATBOTS ACROSS MESSAGING SERVICES FOR BETTER CUSTOMER SUPPORT TO DRIVE MARKET
  • FIGURE 19 OPERATIONS & SUPPLY CHAIN SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 20 AI CHATBOTS AND SALES & MARKETING SEGMENTS TO HOLD LARGEST MARKET SHARES IN NORTH AMERICA IN 2025
  • FIGURE 21 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2024
  • FIGURE 22 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: CONVERSATIONAL AI MARKET
  • FIGURE 23 EVOLUTION OF CONVERSATIONAL AI MARKET
  • FIGURE 24 CONVERSATIONAL AI MARKET: ARCHITECTURE
  • FIGURE 25 CONVERSATIONAL AI MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 26 KEY PLAYERS IN CONVERSATIONAL AI MARKET ECOSYSTEM
  • FIGURE 27 CONVERSATIONAL AI MARKET: INVESTMENT LANDSCAPE AND FUNDING SCENARIO
  • FIGURE 28 NUMBER OF PATENTS GRANTED IN LAST 10 YEARS, 2016–2025
  • FIGURE 29 REGIONAL ANALYSIS OF PATENTS GRANTED, 2016–2025
  • FIGURE 30 CONVERSATIONAL AI MARKET: PORTER’S FIVE FORCES ANALYSIS
  • FIGURE 31 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
  • FIGURE 32 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
  • FIGURE 33 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
  • FIGURE 34 SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 35 CLOUD-BASED DEPLOYMENT MODE TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 36 MANAGED SERVICES TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 37 SUPPORT & MAINTENANCE MANAGEMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 38 GENERATIVE AI AGENTS TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 39 OPERATIONS & SUPPLY CHAIN TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 40 EXTERNAL COMMUNICATION CHANNELS TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 41 INDIVIDUAL USERS TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 42 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 43 NORTH AMERICA TO ACCOUNT FOR LARGEST SHARE DURING FORECAST PERIOD
  • FIGURE 44 INDIA TO WITNESS FASTEST GROWTH DURING FORECAST PERIOD
  • FIGURE 45 NORTH AMERICA: CONVERSATIONAL AI MARKET SNAPSHOT
  • FIGURE 46 ASIA PACIFIC: CONVERSATIONAL AI MARKET SNAPSHOT
  • FIGURE 47 TOP FIVE PLAYERS DOMINATING MARKET OVER LAST FIVE YEARS (USD MILLION)
  • FIGURE 48 SHARE OF LEADING COMPANIES IN CONVERSATIONAL AI MARKET, 2024
  • FIGURE 49 PRODUCT COMPARATIVE ANALYSIS, BY PROMINENT/LEADING VENDOR
  • FIGURE 50 FINANCIAL METRICS OF KEY VENDORS
  • FIGURE 51 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
  • FIGURE 52 CONVERSATIONAL AI MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024
  • FIGURE 53 COMPANY FOOTPRINT (20 COMPANIES), 2024
  • FIGURE 54 CONVERSATIONAL AI MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2024
  • FIGURE 55 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 56 IBM: COMPANY SNAPSHOT
  • FIGURE 57 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 58 AWS: COMPANY SNAPSHOT
  • FIGURE 59 ORACLE: COMPANY SNAPSHOT
  • FIGURE 60 BAIDU: COMPANY SNAPSHOT
  • FIGURE 61 SAP: COMPANY SNAPSHOT
  • FIGURE 62 LIVEPERSON: COMPANY SNAPSHOT
  • FIGURE 63 EGAIN: COMPANY SNAPSHOT
  • FIGURE 64 SOUNDHOUND: COMPANY SNAPSHOT
  • FIGURE 65 TENEO.AI: COMPANY SNAPSHOT

The research study for the conversational AI market involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred conversational AI providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews with primary respondents, including key industry participants and subject matter experts, were conducted to obtain and verify critical qualitative and quantitative information and assess the market’s prospects.

Secondary Research

In the secondary research process, various sources were referred to identify and collect information for the study. The secondary sources included annual reports, press releases, investor presentations of companies, white papers, journals, certified publications, and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as AI conferences and related magazines. Additionally, the conversational AI spending of various countries was extracted from respective sources. Secondary research was used to obtain key information about the industry’s value chain and supply chain to identify key players by solution, service, market classification, and segmentation according to the offerings of major players and industry trends related to solutions, applications, verticals, and regions, and key developments from both market and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and conversational AI expertise; related key executives from conversational AI solution vendors, SIs, managed service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various trends related to technologies, applications, data types, service types, software types, verticals, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using conversational AI solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of conversational AI, which would impact the overall conversational AI market.

Conversational AI Market Size, and Share

Note: Tier 1 companies account for annual revenue of >USD 10 billion; tier 2 companies’ revenue ranges
between USD 1 and 10 billion; and tier 3 companies’ revenue ranges between USD 500 million–USD 1 billion
Source: MarketsandMarkets Analysis

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Multiple approaches were adopted to estimate and forecast the conversational AI market. The first approach involves estimating the market size by summing up the companies’ revenue generated by selling solutions and services.

Market Size Estimation Methodology - Top-down approach

In the top-down approach, an exhaustive list of all the vendors offering solutions and services in the conversational AI market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor's offerings were evaluated based on the breadth of solutions according to software type, service type, product type, business function, integration type, and end user. The aggregate of all the companies’ revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets repository for validation.

Market Size Estimation Methodology - Bottom-up approach

In the bottom-up approach, the adoption rate of conversational AI solutions and services among different end users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of conversational AI solutions among industries, along with different use cases with respect to their regions, was identified and extrapolated. Use cases identified in different regions were given weightage for the market size calculation.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the conversational AI market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major conversational AI providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primary interviews, the exact values of the overall conversational AI market size and segments’ size were determined and confirmed using the study.

Conversational AI Market : Top-Down and Bottom-Up Approach

Conversational AI Market Top Down and Bottom Up Approach

Data Triangulation

After arriving at the overall market size using the market size estimation processes explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Definition

Conversational AI enables machines to engage in human-like interactions by understanding, processing, and generating natural language through text or speech. It powers applications such as chatbots, virtual assistants, and voice-enabled devices, allowing them to interpret user intent, provide relevant responses, and carry out tasks in real-time. This technology leverages natural language processing (NLP), machine learning, and speech recognition to create seamless and dynamic communication between humans and machines.

Stakeholders

  • Conversational AI software providers
  • Conversational AI service providers
  • Third-party administrators
  • Business analysts
  • Cloud service providers
  • Consulting service providers
  • Enterprise end users
  • Distributors and value-added resellers (VARs)
  • Government agencies
  • Independent Software Vendors (ISVs)
  • Managed service providers
  • Market research and consulting firms
  • Support & maintenance service providers
  • System Integrators (SIs)/Migration service providers
  • Technology providers

Report Objectives

  • To define, describe, and forecast the conversational AI market by offering, product type, business function, integration type, and end user
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the conversational AI market
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments for the five main regions: North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America
  • To profile the key players and comprehensively analyze their market ranking and core competencies
  • To analyze competitive developments, such as partnerships, product launches, and mergers & acquisitions, in the conversational AI market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per your company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product quadrant, which gives a detailed comparison of the product portfolio of each company.

Geographic Analysis as per Feasibility

  • Further breakup of the North American conversational AI market
  • Further breakup of the European market
  • Further breakup of the Asia Pacific market
  • Further breakup of the Middle Eastern & African market
  • Further breakup of the Latin American conversational AI market

Company Information

  • Detailed analysis and profiling of additional market players (up to five)

 

Previous Versions of this Report

Conversational AI Market by Offering ((Software by Technology, Modality, Deployment Mode), and Services), Business Function, Integration Mode, Conversational Agents Type (AI Chatbots, Generative AI Agents), Vertical and Region - Global Forecast to 2030

Report Code TC 6976
Published in Apr, 2024, By MarketsandMarkets™

Conversational AI Market by Offering, Conversational Interface, Business Function (Sales & Marketing, HR, ITSM), Channel, Technology, Vertical (BFSI, Retail & eCommerce, Healthcare & Life Sciences) and Region - Global Forecast to 2028

Report Code TC 6976
Published in Mar, 2023, By MarketsandMarkets™

Conversational AI Market by Component (Solutions and Services), Type (Chatbots and IVA), Technology (NLP and ASR), Business Function (Sales and Marketing, and Operations), Mode of Integration, Vertical, and Region - Global Forecast to 2026

Report Code TC 6976
Published in Oct, 2021, By MarketsandMarkets™

Conversational AI Market by Component (Platform and Services), Type (IVA and Chatbots), Technology (ML and Deep Learning, NLP, and ASR), Application, Deployment Mode (Cloud and On-premises), Vertical, and Region - Global Forecast to 2025

Report Code TC 6976
Published in Jul, 2020, By MarketsandMarkets™

Conversational AI Market by Component (Platform and Services), Type (IVA and Chatbots), Technology (ML and Deep Learning, NLP, and ASR), Application, Deployment Mode (Cloud and On-premises), Vertical, and Region - Global Forecast to 2025

Report Code TC 6976
Published in Mar, 2019, By MarketsandMarkets™
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Growth opportunities and latent adjacency in Conversational AI Market

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