Global Multimodal AI Models Market Growth (Status and Outlook) 2024-2030

Global Multimodal AI Models Market Growth (Status and Outlook) 2024-2030

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 size is projected to grow from US$ 844 million in 2024 to US$ 11240 million in 2030; it is expected to grow at a CAGR of 53.9% from 2024 to 2030.

LPI (LP Information)' newest research report, the “Multimodal AI Models Industry Forecast” looks at past sales and reviews total world Multimodal AI Models sales in 2022, providing a comprehensive analysis by region and market sector of projected Multimodal AI Models sales for 2023 through 2029. With Multimodal AI Models sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Multimodal AI Models industry.

This Insight Report provides a comprehensive analysis of the global Multimodal AI Models landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Multimodal AI Models portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Multimodal AI Models market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Multimodal AI Models and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Multimodal AI Models.

United States market for Multimodal AI Models is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

China market for Multimodal AI Models is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

Europe market for Multimodal AI Models is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

Global key Multimodal AI Models players cover OpenAI, Gemini (Google), Meta, Twelve Labs, Pika, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2023.

This report presents a comprehensive overview, market shares, and growth opportunities of Multimodal AI Models market by product type, application, key players and key regions and countries.

Segmentation by Type:
Multimodal Representation
Translation
Alignment
Multimodal Fusion
Co-learning

Segmentation by Application:
Medical
Finance
Retail and E-commerce
Entertainment
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

Segmentation by Type:
Multimodal Representation
Translation
Alignment
Multimodal Fusion
Co-learning

Segmentation by Application:
Medical
Finance
Retail and E-commerce
Entertainment
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
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

Please note: The report will take approximately 2 business days to prepare and deliver.