Multimodal models are designed to process and generate content using multiple modalities, such as text, images, audio, or video. These models combine information from different modalities to gain a better understanding of the input data and generate more comprehensive outputs.
The global Multimodal AI Models market was valued at US$ 158 million in 2023 and is anticipated to reach US$ 10640 million by 2030, witnessing a CAGR of 52.0% during the forecast period 2024-2030.
North American market for Multimodal AI Models is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Multimodal AI Models is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Multimodal AI Models in Medical is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Multimodal AI Models include OpenAI, Gemini (Google), Meta, Twelve Labs, Pika, Runway, Adept, Inworld AI, Hundsun Technologies, Zhejiang Jinke Tom Culture Industry, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Multimodal AI Models, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Multimodal AI Models.
The Multimodal AI Models market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Multimodal AI Models market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Multimodal AI Models companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
OpenAI
Gemini (Google)
Meta
Twelve Labs
Pika
Runway
Adept
Inworld AI
Hundsun Technologies
Zhejiang Jinke Tom Culture Industry
Dahua Technology
ThunderSoft
Taichu
Nanjing Tuodao Medical Technology
HiDream.ai
Suzhou Keda Technology
Segment by Type
Multimodal Representation
Translation
Alignment
Multimodal Fusion
Co-learning
Segment by Application
Medical
Finance
Retail and E-commerce
Entertainment
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Multimodal AI Models company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Multimodal AI Models Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Multimodal Representation
1.2.3 Translation
1.2.4 Alignment
1.2.5 Multimodal Fusion
1.2.6 Co-learning
1.3 Market by Application
1.3.1 Global Multimodal AI Models Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Medical
1.3.3 Finance
1.3.4 Retail and E-commerce
1.3.5 Entertainment
1.3.6 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Multimodal AI Models Market Perspective (2019-2030)
2.2 Global Multimodal AI Models Growth Trends by Region
2.2.1 Global Multimodal AI Models Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Multimodal AI Models Historic Market Size by Region (2019-2024)
2.2.3 Multimodal AI Models Forecasted Market Size by Region (2025-2030)
2.3 Multimodal AI Models Market Dynamics
2.3.1 Multimodal AI Models Industry Trends
2.3.2 Multimodal AI Models Market Drivers
2.3.3 Multimodal AI Models Market Challenges
2.3.4 Multimodal AI Models Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Multimodal AI Models Players by Revenue
3.1.1 Global Top Multimodal AI Models Players by Revenue (2019-2024)
3.1.2 Global Multimodal AI Models Revenue Market Share by Players (2019-2024)
3.2 Global Multimodal AI Models Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Multimodal AI Models Revenue
3.4 Global Multimodal AI Models Market Concentration Ratio
3.4.1 Global Multimodal AI Models Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Multimodal AI Models Revenue in 2023
3.5 Global Key Players of Multimodal AI Models Head office and Area Served
3.6 Global Key Players of Multimodal AI Models, Product and Application
3.7 Global Key Players of Multimodal AI Models, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Multimodal AI Models Breakdown Data by Type
4.1 Global Multimodal AI Models Historic Market Size by Type (2019-2024)
4.2 Global Multimodal AI Models Forecasted Market Size by Type (2025-2030)
5 Multimodal AI Models Breakdown Data by Application
5.1 Global Multimodal AI Models Historic Market Size by Application (2019-2024)
5.2 Global Multimodal AI Models Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Multimodal AI Models Market Size (2019-2030)
6.2 North America Multimodal AI Models Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Multimodal AI Models Market Size by Country (2019-2024)
6.4 North America Multimodal AI Models Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Multimodal AI Models Market Size (2019-2030)
7.2 Europe Multimodal AI Models Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Multimodal AI Models Market Size by Country (2019-2024)
7.4 Europe Multimodal AI Models Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Multimodal AI Models Market Size (2019-2030)
8.2 Asia-Pacific Multimodal AI Models Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Multimodal AI Models Market Size by Region (2019-2024)
8.4 Asia-Pacific Multimodal AI Models Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Multimodal AI Models Market Size (2019-2030)
9.2 Latin America Multimodal AI Models Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Multimodal AI Models Market Size by Country (2019-2024)
9.4 Latin America Multimodal AI Models Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Multimodal AI Models Market Size (2019-2030)
10.2 Middle East & Africa Multimodal AI Models Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Multimodal AI Models Market Size by Country (2019-2024)
10.4 Middle East & Africa Multimodal AI Models Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 OpenAI
11.1.1 OpenAI Company Details
11.1.2 OpenAI Business Overview
11.1.3 OpenAI Multimodal AI Models Introduction
11.1.4 OpenAI Revenue in Multimodal AI Models Business (2019-2024)
11.1.5 OpenAI Recent Development
11.2 Gemini (Google)
11.2.1 Gemini (Google) Company Details
11.2.2 Gemini (Google) Business Overview
11.2.3 Gemini (Google) Multimodal AI Models Introduction
11.2.4 Gemini (Google) Revenue in Multimodal AI Models Business (2019-2024)
11.2.5 Gemini (Google) Recent Development
11.3 Meta
11.3.1 Meta Company Details
11.3.2 Meta Business Overview
11.3.3 Meta Multimodal AI Models Introduction
11.3.4 Meta Revenue in Multimodal AI Models Business (2019-2024)
11.3.5 Meta Recent Development
11.4 Twelve Labs
11.4.1 Twelve Labs Company Details
11.4.2 Twelve Labs Business Overview
11.4.3 Twelve Labs Multimodal AI Models Introduction
11.4.4 Twelve Labs Revenue in Multimodal AI Models Business (2019-2024)
11.4.5 Twelve Labs Recent Development
11.5 Pika
11.5.1 Pika Company Details
11.5.2 Pika Business Overview
11.5.3 Pika Multimodal AI Models Introduction
11.5.4 Pika Revenue in Multimodal AI Models Business (2019-2024)
11.5.5 Pika Recent Development
11.6 Runway
11.6.1 Runway Company Details
11.6.2 Runway Business Overview
11.6.3 Runway Multimodal AI Models Introduction
11.6.4 Runway Revenue in Multimodal AI Models Business (2019-2024)
11.6.5 Runway Recent Development
11.7 Adept
11.7.1 Adept Company Details
11.7.2 Adept Business Overview
11.7.3 Adept Multimodal AI Models Introduction
11.7.4 Adept Revenue in Multimodal AI Models Business (2019-2024)
11.7.5 Adept Recent Development
11.8 Inworld AI
11.8.1 Inworld AI Company Details
11.8.2 Inworld AI Business Overview
11.8.3 Inworld AI Multimodal AI Models Introduction
11.8.4 Inworld AI Revenue in Multimodal AI Models Business (2019-2024)
11.8.5 Inworld AI Recent Development
11.9 Hundsun Technologies
11.9.1 Hundsun Technologies Company Details
11.9.2 Hundsun Technologies Business Overview
11.9.3 Hundsun Technologies Multimodal AI Models Introduction
11.9.4 Hundsun Technologies Revenue in Multimodal AI Models Business (2019-2024)
11.9.5 Hundsun Technologies Recent Development
11.10 Zhejiang Jinke Tom Culture Industry
11.10.1 Zhejiang Jinke Tom Culture Industry Company Details
11.10.2 Zhejiang Jinke Tom Culture Industry Business Overview
11.10.3 Zhejiang Jinke Tom Culture Industry Multimodal AI Models Introduction
11.10.4 Zhejiang Jinke Tom Culture Industry Revenue in Multimodal AI Models Business (2019-2024)
11.10.5 Zhejiang Jinke Tom Culture Industry Recent Development
11.11 Dahua Technology
11.11.1 Dahua Technology Company Details
11.11.2 Dahua Technology Business Overview
11.11.3 Dahua Technology Multimodal AI Models Introduction
11.11.4 Dahua Technology Revenue in Multimodal AI Models Business (2019-2024)
11.11.5 Dahua Technology Recent Development
11.12 ThunderSoft
11.12.1 ThunderSoft Company Details
11.12.2 ThunderSoft Business Overview
11.12.3 ThunderSoft Multimodal AI Models Introduction
11.12.4 ThunderSoft Revenue in Multimodal AI Models Business (2019-2024)
11.12.5 ThunderSoft Recent Development
11.13 Taichu
11.13.1 Taichu Company Details
11.13.2 Taichu Business Overview
11.13.3 Taichu Multimodal AI Models Introduction
11.13.4 Taichu Revenue in Multimodal AI Models Business (2019-2024)
11.13.5 Taichu Recent Development
11.14 Nanjing Tuodao Medical Technology
11.14.1 Nanjing Tuodao Medical Technology Company Details
11.14.2 Nanjing Tuodao Medical Technology Business Overview
11.14.3 Nanjing Tuodao Medical Technology Multimodal AI Models Introduction
11.14.4 Nanjing Tuodao Medical Technology Revenue in Multimodal AI Models Business (2019-2024)
11.14.5 Nanjing Tuodao Medical Technology Recent Development
11.15 HiDream.ai
11.15.1 HiDream.ai Company Details
11.15.2 HiDream.ai Business Overview
11.15.3 HiDream.ai Multimodal AI Models Introduction
11.15.4 HiDream.ai Revenue in Multimodal AI Models Business (2019-2024)
11.15.5 HiDream.ai Recent Development
11.16 Suzhou Keda Technology
11.16.1 Suzhou Keda Technology Company Details
11.16.2 Suzhou Keda Technology Business Overview
11.16.3 Suzhou Keda Technology Multimodal AI Models Introduction
11.16.4 Suzhou Keda Technology Revenue in Multimodal AI Models Business (2019-2024)
11.16.5 Suzhou Keda Technology Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
OpenAI
Gemini (Google)
Meta
Twelve Labs
Pika
Runway
Adept
Inworld AI
Hundsun Technologies
Zhejiang Jinke Tom Culture Industry
Dahua Technology
ThunderSoft
Taichu
Nanjing Tuodao Medical Technology
HiDream.ai
Suzhou Keda Technology
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*If Applicable.
