Multimodal AI Market Size To Reach $10.89 Billion By 2030

Multimodal AI Market Trends & Growth

The global multimodal AI market size is estimated to reach USD 10.89 billion by 2030 growing at a CAGR of 35.8% during the forecast period, according to a new report by Grand View Research, Inc. The increasing digitization of various data types, including images, text, audio, and video, has produced a demand for advanced technologies capable of processing and extracting meaningful insights from these varied sources. Multimodal artificial intelligence (AI) AI, with its ability to understand and analyze multiple modalities simultaneously, handles this need, boosting its adoption across numerous industries. In addition, the rising prevalence of data-rich applications, such as autonomous vehicles, virtual assistants, and augmented reality, have created new prospects for multimodal AI solutions as these applications require a complete understanding of complex data inputs, which is a notable strength of multimodal AI.

Multimodal AI applications in healthcare deliver transformative advantages through the enhancement of medical imaging analysis, disease diagnosis, and the development of personalized treatment plans. Integrating medical images with patient records and genetic data enables healthcare providers to attain a more accurate comprehension of individual patient health, facilitating the creation of customized treatment plans. This, in turn, results in improved patient outcomes and enhances operational efficiency within the healthcare sector. In November 2023, Tempus Labs, Inc. announced a strategic and multi-year research partnership with Bristol-Myers Squibb Company. This collaboration aims to accelerate the identification and validation of novel targets in specific cancer disease areas by leveraging multimodal datasets, computational methods, and patient-derived disease models, ensuring a faster and more confident validation process.

Multimodal AI harnesses the capabilities of diverse data types and computational resources accessible within cloud infrastructures. In cloud deployment, multimodal AI systems leverage computing resources and remote servers to process and analyze data from various sources concurrently. This approach seamlessly integrates different data modalities, including images, text, audio, and video, within a centralized cloud environment. The cloud-based deployment of multimodal AI offers scalability advantages, enabling organizations to adjust their computational resources according to demand effortlessly. In addition, cloud platforms operate on a pay-as-you-go model, reducing the upfront costs associated with deploying and maintaining multimodal AI infrastructure. This cost-efficiency appeals to companies of all sizes, as they can leverage advanced AI capabilities without substantial initial investments.

 Request a free sample copy or view report summary: Multimodal AI Market Report

Multimodal AI Market Report Highlights

• The software segment led the market and accounted for 65.2% of the global revenue in 2023. Multimodal AI software provides businesses with the flexibility to customize solutions based on their specific needs and integrate them seamlessly into existing workflows

• The text data segment accounted for the largest market revenue share in 2023, owing to its versatile applicability across various industries and applications

• Media & entertainment segment accounted for the largest market revenue share in 2023. In the media and entertainment sector, multimodal AI can optimize advertising efforts by analyzing user reactions, sentiments, and engagement across different modalities

• The large enterprise segment accounted for the largest market revenue share in 2023. The scalability of multimodal AI systems enables large enterprises to handle the vast amounts of data generated

• North America dominated the market and accounted for a 48.9% share in 2023. The large and diverse consumer base in the region provides a significant market for multimodal AI applications. These technologies find applications in various sectors, including healthcare, finance, entertainment, and e-commerce, catering to the diverse needs of the North American population

Multimodal AI Market Segmentation

Grand View Research has segmented the global multimodal AI market based on component, data modality, end-use, enterprise size, and region:

Multimodal AI Component Outlook (Revenue, USD Million, 2017 - 2030­)

• Software

• Service

Multimodal AI Data Modality Outlook (Revenue, USD Million, 2017 - 2030­)

• Image Data

• Text Data

• Speech & Voice Data

• Video & Audio Data

Multimodal AI End-use Outlook (Revenue, USD Million, 2017 - 2030­)

• Media & Entertainment

• BFSI

• IT & Telecommunication

• Healthcare

• Automotive & Transportation

• Gaming

• Others

Multimodal AI Enterprise Size Outlook (Revenue, USD Million, 2017 - 2030­)

• Large Enterprise

• SMEs

Multimodal AI Region Outlook (Revenue, USD Million, 2017 - 2030­)

• North America

  • U.S.

  • Canada

• Europe

  • Germany

  • UK

  • France

• Asia Pacific

  • China

  • Japan

  • India

  • South Korea

  • Australia

• Latin America

  • Brazil

  • Mexico

• Middle East and Africa (MEA)

  • KSA

  • UAE

  • South Africa

List of Key Players in the Multimodal AI Market

• Aimesoft

• Amazon Web Services, Inc.

• Google LLC

• IBM Corporation

• Jina AI GmbH

• Meta.

• Microsoft

• OpenAI, L.L.C.

• Twelve Labs Inc.

• Uniphore Technologies Inc.