Multimodal AI Market Size, Share, and Trends 2024 to 2034

The global multimodal AI market size is accounted at USD 2.51 billion in 2025 and is forecasted to hit around USD 42.38 billion by 2034, representing a CAGR of 36.92% from 2025 to 2034. The North America market size was estimated at USD 880 billion in 2024 and is expanding at a CAGR of 37.03% during the forecast period. The market sizing and forecasts are revenue-based (USD Million/Billion), with 2024 as the base year.

  • Last Updated : March 2025
  • Report Code : 5728
  • Category : ICT

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 Multimodal AI Market 

5.1. COVID-19 Landscape: Multimodal AI 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 Multimodal AI Market, By Component

8.1. Multimodal AI Market, by Component

8.1.1. Software

8.1.1.1. Market Revenue and Forecast

8.1.2. Services

8.1.2.1. Market Revenue and Forecast

Chapter 9. Global Multimodal AI Market, By Data Modality

9.1. Multimodal AI Market, by Data Modality

9.1.1. Image Data

9.1.1.1. Market Revenue and Forecast

9.1.2. Text Data

9.1.2.1. Market Revenue and Forecast

9.1.3. Speech & Voice Data

9.1.3.1. Market Revenue and Forecast

9.1.4. Video & Audio Data

9.1.4.1. Market Revenue and Forecast

Chapter 10. Global Multimodal AI Market, By End-use 

10.1. Multimodal AI Market, by End-use

10.1.1. Media & Entertainment

10.1.1.1. Market Revenue and Forecast

10.1.2. BFSI

10.1.2.1. Market Revenue and Forecast

10.1.3. IT & Telecommunication

10.1.3.1. Market Revenue and Forecast

10.1.4. Healthcare

10.1.4.1. Market Revenue and Forecast

10.1.5. Automotive & Transportation

10.1.5.1. Market Revenue and Forecast

10.1.6. Gaming

10.1.6.1. Market Revenue and Forecast

10.1.7. Others

10.1.7.1. Market Revenue and Forecast

Chapter 11. Global Multimodal AI Market, By Enterprise Size 

11.1. Multimodal AI Market, by Enterprise Size

11.1.1. Large Enterprises

11.1.1.1. Market Revenue and Forecast

11.1.2 SMEs

11.1.2.1. Market Revenue and Forecast

11.1.3. Medical Diagnostics

11.1.3.1. Market Revenue and Forecast

11.1.4. Industrial

11.1.4.1. Market Revenue and Forecast

Chapter 12. Global Multimodal AI 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 Data Modality

12.1.3. Market Revenue and Forecast, by End-use

12.1.4. Market Revenue and Forecast, by Enterprise Size

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Component

12.1.5.2. Market Revenue and Forecast, by Data Modality

12.1.5.3. Market Revenue and Forecast, by End-use

12.1.5.4. Market Revenue and Forecast, by Enterprise Size

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 Data Modality

12.1.6.3. Market Revenue and Forecast, by End-use

12.1.6.4. Market Revenue and Forecast, by Enterprise Size

12.2. Europe

12.2.1. Market Revenue and Forecast, by Component

12.2.2. Market Revenue and Forecast, by Data Modality

12.2.3. Market Revenue and Forecast, by End-use

12.2.4. Market Revenue and Forecast, by Enterprise Size

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Component

12.2.5.2. Market Revenue and Forecast, by Data Modality

12.2.5.3. Market Revenue and Forecast, by End-use

12.2.5.4. Market Revenue and Forecast, by Enterprise Size

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Component

12.2.6.2. Market Revenue and Forecast, by Data Modality

12.2.6.3. Market Revenue and Forecast, by End-use

12.2.6.4. Market Revenue and Forecast, by Enterprise Size

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Component

12.2.7.2. Market Revenue and Forecast, by Data Modality

12.2.7.3. Market Revenue and Forecast, by End-use

12.2.7.4. Market Revenue and Forecast, by Enterprise Size

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 Data Modality

12.2.8.3. Market Revenue and Forecast, by End-use

12.2.8.4. Market Revenue and Forecast, by Enterprise Size

12.3. APAC

12.3.1. Market Revenue and Forecast, by Component

12.3.2. Market Revenue and Forecast, by Data Modality

12.3.3. Market Revenue and Forecast, by End-use

12.3.4. Market Revenue and Forecast, by Enterprise Size

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Component

12.3.5.2. Market Revenue and Forecast, by Data Modality

12.3.5.3. Market Revenue and Forecast, by End-use

12.3.5.4. Market Revenue and Forecast, by Enterprise Size

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Component

12.3.6.2. Market Revenue and Forecast, by Data Modality

12.3.6.3. Market Revenue and Forecast, by End-use

12.3.6.4. Market Revenue and Forecast, by Enterprise Size

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Component

12.3.7.2. Market Revenue and Forecast, by Data Modality

12.3.7.3. Market Revenue and Forecast, by End-use

12.3.7.4. Market Revenue and Forecast, by Enterprise Size

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 Data Modality

12.3.8.3. Market Revenue and Forecast, by End-use

12.3.8.4. Market Revenue and Forecast, by Enterprise Size

12.4. MEA

12.4.1. Market Revenue and Forecast, by Component

12.4.2. Market Revenue and Forecast, by Data Modality

12.4.3. Market Revenue and Forecast, by End-use

12.4.4. Market Revenue and Forecast, by Enterprise Size

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Component

12.4.5.2. Market Revenue and Forecast, by Data Modality

12.4.5.3. Market Revenue and Forecast, by End-use

12.4.5.4. Market Revenue and Forecast, by Enterprise Size

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Component

12.4.6.2. Market Revenue and Forecast, by Data Modality

12.4.6.3. Market Revenue and Forecast, by End-use

12.4.6.4. Market Revenue and Forecast, by Enterprise Size

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Component

12.4.7.2. Market Revenue and Forecast, by Data Modality

12.4.7.3. Market Revenue and Forecast, by End-use

12.4.7.4. Market Revenue and Forecast, by Enterprise Size

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 Data Modality

12.4.8.3. Market Revenue and Forecast, by End-use

12.4.8.4. Market Revenue and Forecast, by Enterprise Size

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Component

12.5.2. Market Revenue and Forecast, by Data Modality

12.5.3. Market Revenue and Forecast, by End-use

12.5.4. Market Revenue and Forecast, by Enterprise Size

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Component

12.5.5.2. Market Revenue and Forecast, by Data Modality

12.5.5.3. Market Revenue and Forecast, by End-use

12.5.5.4. Market Revenue and Forecast, by Enterprise Size

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 Data Modality

12.5.6.3. Market Revenue and Forecast, by End-use

12.5.6.4. Market Revenue and Forecast, by Enterprise Size

Chapter 13. Company Profiles

13.1. Amazon Web Services, Inc

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Aimesoft

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Google LLC

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. Jina AI GmbH

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. IBM Corporation

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Meta

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Microsoft

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. OpenAI, L.L.C.

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Twelve Labs Inc.

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Uniphore Technologies Inc.

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

The global multimodal AI market size is expected to grow from USD 1.83 billion in 2024 to USD 42.38 billion by 2034.

The multimodal AI market is anticipated to grow at a CAGR of 36.92% between 2025 and 2034.

The major players operating in the multimodal AI market are Amazon Web Services, Inc., Aimesoft, Google LLC, Jina AI GmbH, IBM Corporation, Meta., Microsoft, OpenAI, L.L.C., Twelve Labs Inc., Uniphore Technologies Inc., and Others.

The driving factors of the multimodal AI market are the multimodal AI market is driven by technological advancements and the increasing adoption of AI technologies across industries like healthcare, automotive, and retail.

North America region will lead the global multimodal AI market during the forecast period 2025 to 2034.

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