Multimodal AI Market Growth Trajectory Through 2024-2033

The Multimodal AI Global Market Report 2024 by The Business Research Company provides market overview across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).

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According to The Business Research Company’s Multimodal AI Global Market Report 2024, The multimodal ai market size has grown exponentially in recent years. It will grow from $1.27 billion in 2023 to $1.66 billion in 2024 at a compound annual growth rate (CAGR) of 31.2%.  The  growth in the historic period can be attributed to increased generative ai techniques to accelerate multimodal ecosystem development, increased need to analyze unstructured data in multiple formats, increased  ability of multimodal ai to handle complex tasks and provide holistic approach.

The multimodal ai market size is expected to see exponential growth in the next few years. It will grow to $4.88 billion in 2028 at a compound annual growth rate (CAGR) of 30.9%.  The growth in the forecast period can be attributed to rising adoption of smartphones, increasing availability of high-quality data, surge in demand for more sophisticated and human-like interactions between machines and users, . Major trends in the forecast period include integration of multimodal ai, advancements in human-machine interaction, rise of edge ai for multimodal applications, increased adoption in healthcare and life sciences , growth in multimodal ai platforms and solutions.

The rising adoption of smartphones is expected to propel the growth of the multimodal AI Market going forward. A smartphone is a mobile phone with advanced computing capabilities and features beyond those of a traditional mobile phone. The integration of multimodal AI in smartphones enhances the overall user experience, making devices more intuitive, responsive, and capable of understanding and adapting to user needs in diverse situations. For instance, in February 2023, according to Uswitch Limited, a UK-based financial conduct authority, beginning in 2022, there were 71.8 million mobile connections in the UK, a 3.8% (or around 2.6 million) increase over 2021. Further, the UK population is expected to grow to 68.3 million by 2025, of which 95% (or around 65 million individuals) are expected to own a smartphone. Therefore, the rising adoption of smartphones is driving the growth of the multimodal AI market.

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The multimodal ai market covered in this report is segmented –
1) By Type: Generative, Translative, Interactive, Explanatory
2) By Offering:  Solutions, Services
3) By Data Modality: Text Data, Speech and Voice Data, Image Data, Video Data, Audio Data
4) By Technology: Machine Learning, Natural Language Processing, Computer Vision, Context Awareness, Internet Of Things
5) By Vertical: Banking, Financial Services And Insurance(BFSI), Government And Public Sector, Automotive, Transportation And Logistics, Healthcare And Lifesciences, Media And Entertainment, Manufacturing, Retail And E-Commerce, Telecommunications, Other Verticals

Major companies operating in the multimodal AI market are enhancing multimodal AI techniques, such as supercharged language models, to drive revenues in the market. A supercharged language model (SLM) is a next-generation language model that builds upon the impressive capabilities of existing models like GPT-3 and Jurassic-1 Jumbo by incorporating several key advancements, making them even more powerful and versatile. For instance, in November 2023, Open AI, a US-based artificial intelligence research company, launched GPT-4 Turbo AI, a supercharged language model with multimodal magic. This enhances the capability to accept images as inputs within the Chat Completions API and opens various use cases, including generating image captions, conducting detailed analysis of real-world images, and processing documents that contain figures. Additionally, developers can seamlessly integrate DALL·E 3 into their applications and products by specifying dall-e-3 as the model when using the Images API, extending the creative potential of multimodal AI.

The multimodal ai market report table of contents includes:
1. Executive Summary

2. Multimodal AI Market Characteristics
3. Multimodal AI Market Trends And Strategies
4. Multimodal AI Market – Macro Economic Scenario
5. Global Multimodal AI Market Size and Growth
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6. Global Multimodal AI Market Competitive Benchmarking
7. Global Multimodal AI Market Competitive Dashboard
8. Key Mergers And Acquisitions In The Multimodal AI Market
9. Multimodal AI Market Future Outlook and Potential Analysis
10. Appendix

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