Generative AI Chatbot Market Size, Share, and Trends 2026 to 2035

Generative AI Chatbot Market (By Component: Software Platforms & Chatbot Engines, Services; By Deployment Mode: Cloud-based, On-premise, Hybrid; By Model Type: LLM-based Proprietary Models, Custom-tuned transformers, Domain-specific generative models, Third-party/Public LLM Integrations, Open models (open-source + API), Licensed commercial LLMs, Hybrid/Multi-source LLM Frameworks; By End-User: IT & Telecom, BFSI, Retail & E-commerce, Healthcare & Life Sciences, Travel, Hospitality & Transportation, Manufacturing, Media & Entertainment, Government & Public Sector) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 02 Feb 2026  |  Report Code : 7508  |  Category : ICT   |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Generative AI Chatbot Market 

5.1. COVID-19 Landscape: Generative AI Chatbot Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Generative AI Chatbot Market, By Component

8.1. Generative AI Chatbot Market, by Component

8.1.1. Software Platforms & Chatbot Engines

8.1.1.1. Market Revenue and Forecast

8.1.2. Services

8.1.2.1. Market Revenue and Forecast

Chapter 9. Global Generative AI Chatbot Market, By Deployment Mode

9.1. Generative AI Chatbot Market, by Deployment Mode

9.1.1. Cloud-based

9.1.1.1. Market Revenue and Forecast

9.1.2. On-premise

9.1.2.1. Market Revenue and Forecast

9.1.3. Hybrid

9.1.3.1. Market Revenue and Forecast

Chapter 10. Global Generative AI Chatbot Market, By Model Type 

10.1. Generative AI Chatbot Market, by Model Type

10.1.1. LLM-based Proprietary Models (enterprise/brand)

10.1.1.1. Market Revenue and Forecast

10.1.2. Custom-tuned transformers

10.1.2.1. Market Revenue and Forecast

10.1.3. Domain-specific generative models

10.1.3.1. Market Revenue and Forecast

10.1.4. Third-party / Public LLM Integrations

10.1.4.1. Market Revenue and Forecast

10.1.5. Open models (open-source + API)

10.1.5.1. Market Revenue and Forecast

10.1.6. Licensed commercial LLMs

10.1.6.1. Market Revenue and Forecast

10.1.7. Hybrid / Multi-source LLM Frameworks

10.1.7.1. Market Revenue and Forecast

Chapter 11. Global Generative AI Chatbot Market, By End-User 

11.1. Generative AI Chatbot Market, by End-User

11.1.1. IT & Telecom

11.1.1.1. Market Revenue and Forecast

11.1.2. BFSI

11.1.2.1. Market Revenue and Forecast

11.1.3. Retail & E-commerce

11.1.3.1. Market Revenue and Forecast

11.1.4. Healthcare & Life Sciences

11.1.4.1. Market Revenue and Forecast

11.1.5. Travel, Hospitality & Transportation

11.1.5.1. Market Revenue and Forecast

11.1.6. Manufacturing

11.1.6.1. Market Revenue and Forecast

11.1.7. Media & Entertainment

11.1.7.1. Market Revenue and Forecast

11.1.8. Government & Public Sector

11.1.8.1. Market Revenue and Forecast

Chapter 12. Global Generative AI Chatbot Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Component

12.1.2. Market Revenue and Forecast, by Deployment Mode

12.1.3. Market Revenue and Forecast, by Model Type

12.1.4. Market Revenue and Forecast, by End-User

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Component

12.1.5.2. Market Revenue and Forecast, by Deployment Mode

12.1.5.3. Market Revenue and Forecast, by Model Type

12.1.5.4. Market Revenue and Forecast, by End-User

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Component

12.1.6.2. Market Revenue and Forecast, by Deployment Mode

12.1.6.3. Market Revenue and Forecast, by Model Type

12.1.6.4. Market Revenue and Forecast, by End-User

12.2. Europe

12.2.1. Market Revenue and Forecast, by Component

12.2.2. Market Revenue and Forecast, by Deployment Mode

12.2.3. Market Revenue and Forecast, by Model Type

12.2.4. Market Revenue and Forecast, by End-User

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Component

12.2.5.2. Market Revenue and Forecast, by Deployment Mode

12.2.5.3. Market Revenue and Forecast, by Model Type

12.2.5.4. Market Revenue and Forecast, by End-User

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Component

12.2.6.2. Market Revenue and Forecast, by Deployment Mode

12.2.6.3. Market Revenue and Forecast, by Model Type

12.2.6.4. Market Revenue and Forecast, by End-User

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Component

12.2.7.2. Market Revenue and Forecast, by Deployment Mode

12.2.7.3. Market Revenue and Forecast, by Model Type

12.2.7.4. Market Revenue and Forecast, by End-User

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Component

12.2.8.2. Market Revenue and Forecast, by Deployment Mode

12.2.8.3. Market Revenue and Forecast, by Model Type

12.2.8.4. Market Revenue and Forecast, by End-User

12.3. APAC

12.3.1. Market Revenue and Forecast, by Component

12.3.2. Market Revenue and Forecast, by Deployment Mode

12.3.3. Market Revenue and Forecast, by Model Type

12.3.4. Market Revenue and Forecast, by End-User

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Component

12.3.5.2. Market Revenue and Forecast, by Deployment Mode

12.3.5.3. Market Revenue and Forecast, by Model Type

12.3.5.4. Market Revenue and Forecast, by End-User

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Component

12.3.6.2. Market Revenue and Forecast, by Deployment Mode

12.3.6.3. Market Revenue and Forecast, by Model Type

12.3.6.4. Market Revenue and Forecast, by End-User

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Component

12.3.7.2. Market Revenue and Forecast, by Deployment Mode

12.3.7.3. Market Revenue and Forecast, by Model Type

12.3.7.4. Market Revenue and Forecast, by End-User

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Component

12.3.8.2. Market Revenue and Forecast, by Deployment Mode

12.3.8.3. Market Revenue and Forecast, by Model Type

12.3.8.4. Market Revenue and Forecast, by End-User

12.4. MEA

12.4.1. Market Revenue and Forecast, by Component

12.4.2. Market Revenue and Forecast, by Deployment Mode

12.4.3. Market Revenue and Forecast, by Model Type

12.4.4. Market Revenue and Forecast, by End-User

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Component

12.4.5.2. Market Revenue and Forecast, by Deployment Mode

12.4.5.3. Market Revenue and Forecast, by Model Type

12.4.5.4. Market Revenue and Forecast, by End-User

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Component

12.4.6.2. Market Revenue and Forecast, by Deployment Mode

12.4.6.3. Market Revenue and Forecast, by Model Type

12.4.6.4. Market Revenue and Forecast, by End-User

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Component

12.4.7.2. Market Revenue and Forecast, by Deployment Mode

12.4.7.3. Market Revenue and Forecast, by Model Type

12.4.7.4. Market Revenue and Forecast, by End-User

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Component

12.4.8.2. Market Revenue and Forecast, by Deployment Mode

12.4.8.3. Market Revenue and Forecast, by Model Type

12.4.8.4. Market Revenue and Forecast, by End-User

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Component

12.5.2. Market Revenue and Forecast, by Deployment Mode

12.5.3. Market Revenue and Forecast, by Model Type

12.5.4. Market Revenue and Forecast, by End-User

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Component

12.5.5.2. Market Revenue and Forecast, by Deployment Mode

12.5.5.3. Market Revenue and Forecast, by Model Type

12.5.5.4. Market Revenue and Forecast, by End-User

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Component

12.5.6.2. Market Revenue and Forecast, by Deployment Mode

12.5.6.3. Market Revenue and Forecast, by Model Type

12.5.6.4. Market Revenue and Forecast, by End-User

Chapter 13. Company Profiles

13.1. OpenAI (U.S.)

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Google (U.S.)

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Anthropic (U.S.)

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. Microsoft (U.S.)

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Meta (U.S.)

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Amazon (U.S.)

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Salesforce (U.S.)

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. Jasper  (U.S.)

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Writesonic (U.S.)

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Kuki.ai (U.S.)

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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Frequently Asked Questions

Answer : The generative AI chatbot market size is expected to increase from USD 10.05 billion in 2025 to USD 151.88 billion by 2035.

Answer : The generative AI chatbot market is expected to grow at a compound annual growth rate (CAGR) of around 31.20% from 2026 to 2035.

Answer : The driving factors of the generative AI chatbot market are the rising demand for automated, personalized customer support and rapid adoption of AI across industries.

Answer : North America region will lead the global generative AI chatbot market during the forecast period 2026 to 2035.

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