대화형 AI 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

The Conversational AI Market size is expected to reach USD 163.28 Billion in 2034 from USD 21.42 Billion (2025) growing at a CAGR of 25.32% during 2026-2034.

The global conversational AI market has experienced rapid growth as businesses adopt intelligent technologies to improve communication with customers. Conversational AI systems include chatbots and virtual assistants that can interact with users through natural language. These technologies are widely used in customer service, e-commerce, healthcare, and financial services.

Market growth is driven by the increasing demand for automated customer interaction systems that provide quick and efficient responses. Companies are using conversational AI to handle routine inquiries, reducing the workload on human support teams. Advances in natural language processing and machine learning have significantly improved the ability of these systems to understand and respond to user requests.

The future outlook for the conversational AI market remains highly promising as artificial intelligence technologies continue to advance. Integration with voice recognition systems and smart devices may further enhance user experiences. Businesses are expected to invest more in AI-driven communication tools to improve efficiency and customer satisfaction. As digital interactions become more common, conversational AI will play a key role in modern communication platforms.

MARKET SEGMENTATION

By Offering

• Software
• Service

By Business Function

• Sales & Marketing
• Operations & Supply Chain
• Finance & Accounting
• Human Resources
• IT Service Management

By Integration Mode

• Internal Enterprise Systems
• External Communication Channels

By Conversational Agent Type

• AI Chatbots
• Voice Bots
• Interactive Voice Assistants (IVA)
• Generative AI Agents

By Vertical

• BFSI
• Retail And eCommerce
• Education
• Media And Entertainment
• healthcare And Life Sciences
• Travel And Hospitality
• Automotive
• IT/ITeS
• Government & Defense
• Others

COMPANIES PROFILED

• Microsoft, IBM, Google, OpenAI, Baidu, AWS, SAP, Oracle, LivePerson, Twilio, Sprinklr, Cognigy, Rasa, Gupshup, Haptik
• We can customise the report as per your requirements.

TABLE OF CONTENTS

Chapter 1. PREFACE

• 1.1. Market Segmentation & Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1 Information Analysis
  • 1.3.2 Market Formulation & Data Visualization
  • 1.3.3 Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

• 2.1. Market Snapshot
• 2.2. Segmental Outlook
• 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

• 3.1. Market Lineage Outlook
• 3.2. Penetration & Growth Prospect Mapping
• 3.3. Value Chain Analysis
• 3.4. Regulatory Framework
  • 3.4.1 Standards & Compliance
  • 3.4.2 Regulatory Impact Analysis
• 3.5. Market Dynamics
  • 3.5.1 Market Drivers
  • 3.5.2 Market Restraints
  • 3.5.3 Market Opportunities
  • 3.5.4 Market Challenges
• 3.6. Porter's Five Forces Analysis
• 3.7. PESTLE Analysis

Chapter 4. GLOBAL CONVERSATIONAL AI MARKET: BY OFFERING 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Offering
• 4.2. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Service Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL CONVERSATIONAL AI MARKET: BY BUSINESS FUNCTION 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Business Function
• 5.2. Sales & Marketing Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Operations & Supply Chain Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Finance & Accounting Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.5. Human Resources Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.6. IT Service Management Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL CONVERSATIONAL AI MARKET: BY INTEGRATION MODE 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Integration Mode
• 6.2. Internal Enterprise Systems Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. External Communication Channels Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL CONVERSATIONAL AI MARKET: BY CONVERSATIONAL AGENT TYPE 2022-2034 (USD MN)

• 7.1. Market Analysis, Insights and Forecast Conversational Agent Type
• 7.2. AI Chatbots Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.3. Voice Bots Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.4. Interactive Voice Assistants (IVA) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.5. Generative AI Agents Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL CONVERSATIONAL AI MARKET: BY VERTICAL 2022-2034 (USD MN)

• 8.1. Market Analysis, Insights and Forecast Vertical
• 8.2. BFSI Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.3. Retail And eCommerce Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.4. Education Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.5. Media And Entertainment Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.6. healthcare And Life Sciences Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.7. Travel And Hospitality Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.8. Automotive Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.9. IT/ITeS Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.10. Government & Defense Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.11. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 9. GLOBAL CONVERSATIONAL AI MARKET: BY REGION 2022-2034 (USD MN)

• 9.1. Regional Outlook
• 9.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.2.1 By Offering
  • 9.2.2 By Business Function
  • 9.2.3 By Integration Mode
  • 9.2.4 By Conversational Agent Type
  • 9.2.5 By Vertical
  • 9.2.6 United States
  • 9.2.7 Canada
  • 9.2.8 Mexico
• 9.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.3.1 By Offering
  • 9.3.2 By Business Function
  • 9.3.3 By Integration Mode
  • 9.3.4 By Conversational Agent Type
  • 9.3.5 By Vertical
  • 9.3.6 United Kingdom
  • 9.3.7 France
  • 9.3.8 Germany
  • 9.3.9 Italy
  • 9.3.10 Russia
  • 9.3.11 Rest Of Europe
• 9.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.4.1 By Offering
  • 9.4.2 By Business Function
  • 9.4.3 By Integration Mode
  • 9.4.4 By Conversational Agent Type
  • 9.4.5 By Vertical
  • 9.4.6 India
  • 9.4.7 Japan
  • 9.4.8 South Korea
  • 9.4.9 Australia
  • 9.4.10 South East Asia
  • 9.4.11 Rest Of Asia Pacific
• 9.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.5.1 By Offering
  • 9.5.2 By Business Function
  • 9.5.3 By Integration Mode
  • 9.5.4 By Conversational Agent Type
  • 9.5.5 By Vertical
  • 9.5.6 Brazil
  • 9.5.7 Argentina
  • 9.5.8 Peru
  • 9.5.9 Chile
  • 9.5.10 Rest of Latin America
• 9.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.6.1 By Offering
  • 9.6.2 By Business Function
  • 9.6.3 By Integration Mode
  • 9.6.4 By Conversational Agent Type
  • 9.6.5 By Vertical
  • 9.6.6 Saudi Arabia
  • 9.6.7 UAE
  • 9.6.8 Israel
  • 9.6.9 South Africa
  • 9.6.10 Rest of the Middle East And Africa

Chapter 10. COMPETITIVE LANDSCAPE

• 10.1. Recent Developments
• 10.2. Company Categorization
• 10.3. Supply Chain & Channel Partners (based on availability)
• 10.4. Market Share & Positioning Analysis (based on availability)
• 10.5. Vendor Landscape (based on availability)
• 10.6. Strategy Mapping

Chapter 11. COMPANY PROFILES OF GLOBAL CONVERSATIONAL AI INDUSTRY

• 11.1. Top Companies Market Share Analysis
• 11.2. Company Profiles
  • 11.2.1 Microsoft
  • 11.2.2 IBM
  • 11.2.3 Google
  • 11.2.4 OpenAI
  • 11.2.5 Baidu
  • 11.2.6 AWS
  • 11.2.7 SAP
  • 11.2.8 Oracle
  • 11.2.9 LivePerson
  • 11.2.10 Twilio
  • 11.2.11 Sprinklr
  • 11.2.12 Cognigy
  • 11.2.13 Rasa
  • 11.2.14 Gupshup
  • 11.2.15 Haptik