Dublin, April 08, 2025 (Globe Newswire) – The “Multimodal AI market opportunity, growth engines, analysis of industry trends and forecasts 2025-2034” The report was added to Researchandmarkets.com offer.
The Multimodal IA market was estimated at 1.6 billion USD in 2024 and is expected to reach 27 billion USD by 2034, increasing TCAC by 32.7%
Growth is mainly fueled by the growing integration of AI and ML in all industries, including retail, health care and automobile, as well as the increase in investments in AI research and development. Multimodal AI represents a major change in technological capacities, allowing human collaboration in real time and improving AI Edge applications. This is a rapid development area that stimulates innovation by allowing machines to process various types of data, such as text, images and voice, for more efficient decision -making.
However, challenges such as Ethical Governance of AI, IT efficiency and data fusion complexity continue to place obstacles for businesses. Despite these obstacles, companies around the world take advantage of multimodal AI to optimize workflows, reduce errors and improve productivity. Adoption is accelerating while industries seek automation to improve operational efficiency, especially in health care, automobile and logistics. The growing dependence on AI -focused tools for personalized services and decision -making propelled demand, hierarchical companies on AI investment to obtain a competitive advantage.
Multimodal AI allows automatic learning models to analyze and integrate several data types, including text, images, video and audio, to provide more precise outputs. The image data segment represented USD 565.4 million in 2024, driven by the progress of in -depth learning techniques, such as convolutional neural networks (CNN), which have improved classification and image recognition capacities. The automatic learning segment held the largest market share of 34.5% in 2024 and is expected to dominate until 2034. As a growing demand for predictive analyzes, in particular in health care and banking services, as well as the growing adoption of ML solutions based on the cloud, supports expansion. More than 87% of companies now prefer cloud platforms for the deployment of automatic learning, strengthening market growth.
The Multimodal AI market is classified as a generative, translative, explanatory and interactive. The generative multimodal AI segment was estimated at USD 740.1 million in 2024, largely due to the growing demand for high quality content on various digital platforms. Companies invest considerably in texts, videos and audio generated by AI, for marketing purposes, increasing the segment more.
The adoption by industry and the adoption of multimodal AI develops in several sectors, including BFSI, retail and electronic commerce, IT and telecommunications, government, health care and the media. The BFSI sector contributed 570.5 million USD in 2024, driven by the growing use of AI to improve financial services and rationalize operations.
Geographically, North America should lead the market, projections estimating a market size of USD 11.7 billion by 2034. The region’s high accent on AI investment and the presence of key technological centers contribute to this growth. The American market is expected to develop at a TCAC of 33.6% in 2034, driven by continuous investments in AI startups and the development of advanced multimodal AI solutions.
Key attributes:
| Report attribute | Details |
| Number of pages | 160 |
| Forecast period | 2024 – 2034 |
| Estimated market value (USD) in 2024 | $ 1.6 billion |
| Planned market value (USD) by 2034 | 27 billion dollars |
| Compound annual growth rate | 32.7% |
| Covered regions | Global |
Complete market analysis and forecasts
- Industry trends, key growth engines, challenges, future opportunities and regulatory landscape
- Competitive landscape with the five forces of carrying and the analysis of the pestel
- Market size, regional segmentation and forecasts
Corporate profiles
- Aiberry Inc.
- AIMESOFT Inc.
- Amazon Web Services Inc.
- Archetype Ai Inc.
- Beewant SAS
- Google Inc.
- Habana Labs Inc.
- HOPPR Inc.
- Inworld ai Inc.
- International Business Machines Corporation (IBM)
- Jina ai gmbh
- Jiva.ai ltd.
- Microsoft Corporation
- Mobius Labs Inc.
- Modality.ai Inc.
- Multimodal Inc.
- Ai Neuraptique SL
- Newsbridge SAS
- OPENAI Inc.
- OpenStream Ai Inc.
- Owlbot.ai Inc.
- Pieriv ai inc.
- Reka Ai Inc.
- Runway Ai Inc.
- Stability ai ltd.
Key subjects covered:
Chapter 1 Methodology and scope
Chapter 2 Executive summary
2.1 Industry synopsis 360
Chapter 3 Industry provides
3.1 Analysis of the industry ecosystem
3.2 Industry impact forces
3.2.1 Growth drivers
3.2.1.1 Ris at the request of automation
3.2.1.2 Improve the expectations of the customer experience
3.2.1.3 Adoption of content creation tools related to AI
3.2.1.4 Government funding in AI research
3.2.1.5 Increase in SAFE IA demand
3.2.2 Industry traps and challenges
3.2.2.1 Confidentiality of data and security problems
3.2.2.2 Risk of replacement of work
3.3 Potential growth analysis
3.4 Regulatory landscape
3.5 Technological landscape
3.6 Future market trends
3.7 Dispute analysis
3.8 Porter analysis
3.9 Pestel analysis
Chapter 4 Competitive landscape, 2024
4.1 Introduction
4.2 Analysis of business market shares
4.3 Competitive analysis of the main market players
4.4 Competitive positioning matrix
4.5 Strategic dashboard
Chapter 5 Market estimates and forecasts, by data modality, 2021-2034 ($ min)
5.1 Key trends
5.2 Image data
5.3 Text data
5.4 Word and vocal data
5.5 Video data
5.6 Audio data
Chapter 6 Market estimates and forecasts, by technology, 2021-2034 ($ min)
6.1 Key trends
6.2 Automatic learning
6.3 Natural language treatment
6.4 Computer vision
6.5 Consciousness of the context
6.6 Internet of objects
Chapter 7 Estimates and Market Forecasts, by type, 2021-2034 ($ min)
7.1 Key trends
7.2 AI Multimodal generative
7.3 AI Multimodal Translative
7.4 AI Multimodal explanatory
7.5 IA Multimodal Interactive
Chapter 8 Estimates and market forecasts, by the vertical industry, 2021-2034 ($ min)
8.1 Key trends
8.2 BFSI
8.3 Retail and electronic commerce
8.4 IT & Telecommunications
8.5 Government and public sector
8.6 Health
8.7 Media & Entertainment
8.8 Others
Chapter 9 Market estimates and forecasts, by region, 2021-2034 ($ min)
9.1 Key trends
9.2 North America
9.2.1 US
9.2.2 Canada
9.3 Europe
9.3.1 Germany
9.3.2 United Kingdom
9.3.3 France
9.3.4 Spain
9.3.5 Italy
9.3.6 Netherlands
9.4 Asia-Pacific
9.4.1 China
9.4.2 India
9.4.3 Japan
9.4.4 Australia
9.4.5 South Korea
9.5 Latin America
9.5.1 Brazil
9.5.2 Mexico
9.5.3 Argentina
9.6 Middle East and Africa
9.6.1 Saudi Arabia
9.6.2 South Africa
9.6.3 Water
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