Multimodal AI Global Market Report 2025

Multimodal AI in a business context involves leveraging artificial intelligence technology that integrates diverse sensory inputs, including visual, auditory, and linguistic information, to enhance predictive capabilities, decision-making processes, and insights generation. Such systems are designed to seamlessly analyze and synthesize information from various modalities, enabling a more holistic understanding of a given situation, task, or context within the business landscape.

The primary categories of multimodal AI encompass generative, translative, interactive, and explanatory models. Translative multimodal AI involves systems capable of interpreting, translating, and generating outputs across diverse communication modes. Offerings within this domain include both solutions and services. Modalities of data encompass text, speech, voice, image, video, and audio data. Technologies utilized include machine learning, natural language processing, computer vision, context awareness, and Internet of Things. These technologies find applications across various sectors, including banking, financial services, insurance (BFSI), government and public sector, automotive, transportation, logistics, healthcare, life sciences, media and entertainment, manufacturing, retail, e-commerce, telecommunications, and other industries.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The multimodal AI market research report is one of a series of new reports from The Business Research Company that provides multimodal AI market statistics, including multimodal AI industry global market size, regional shares, competitors with a multimodal AI market share, detailed multimodal AI market segments, market trends and opportunities, and any further data you may need to thrive in the multimodal AI industry. This multimodal AI market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The multimodal ai market size has grown exponentially in recent years. It will grow from $1.66 billion in 2024 to $2.17 billion in 2025 at a compound annual growth rate (CAGR) of 30.2%. 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 $6.31 billion in 2029 at a compound annual growth rate (CAGR) of 30.6%. 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 forecast of 30.6% growth over the next five years reflects a slight reduction of 0.2% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. U.S. innovation in multimodal AI could be restrained as tariffs inflate costs for AI accelerators and sensor fusion hardware essential for training cross-domain models. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The proliferation of smartphones is anticipated to fuel the expansion of the multimodal AI market in the foreseeable future. Defined as mobile phones with advanced computational capabilities, smartphones surpass traditional counterparts by offering enhanced features. The incorporation of multimodal AI into smartphones elevates the overall user experience, rendering devices more intuitive, responsive, and adaptable to diverse user needs. A report by Uswitch Limited in February 2023 highlighted a 3.8% increase in mobile connections in the UK in 2022, reaching 71.8 million, with an expected 95% smartphone ownership among the projected 65 million individuals in the UK population of 68.3 million by 2025. The escalating adoption of smartphones serves as a catalyst for the growth of the multimodal AI market.

Major players in the multimodal AI market are strategically advancing multimodal AI techniques, such as supercharged language models, to drive market revenues. Supercharged language models (SLMs), such as OpenAI's GPT-4 Turbo AI launched in November 2023, build upon existing models such as GPT-3, incorporating advancements that enhance their power and versatility. This enables the acceptance of images as inputs within the Chat Completions API, expanding use cases such as generating image captions, analyzing real-world images, and processing documents with figures. Open AI's innovation extends creative potential by seamlessly integrating DALL*E 3 into applications and products through the Images API, showcasing the evolution of multimodal AI capabilities.

Stability AI Ltd., a UK-based software company, completed the acquisition of Init ML in March 2023 for an undisclosed amount. This acquisition bolsters Stability AI's product portfolio with advanced multimodal generative AI models, aligning with the company's commitment to providing innovative AI solutions. Init ML, a France-based software company specializing in multimodal AI, is expected to contribute to Stability AI's mission of driving creativity and innovation in the AI landscape through this strategic acquisition.

Major companies operating in the multimodal ai market report are Amazon.com Inc., Apple Inc., Alphabet Inc., Samsung Group, Microsoft Corporation, Meta Platforms Inc., Huawei Technologies Co. Ltd., Tencent Holdings Ltd., IBM corporation, SAP SE, Nvidia Corporation, Baidu AI Cloud, SenseTime, SymphonyAI, C3.ai Inc., OpenAI, Shippeo, SoundHound AI Inc., Charles River Analytics Inc., Smart Eye AB, Sight Machine, Jina AI GmbH, Clarifai Inc., Sensory Inc., Aleph Alpha GmbH, Aimesoft, Vokaturi B.V., Inworld AI, Unqork, Twelve Labs

North America was the largest region in the multimodal AI market in 2024. The regions covered in the multimodal AI market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the multimodal AI market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The multimodal AI market consists of revenues earned by entities by providing multimodal search, multimodal health monitoring, and multimodal social media analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. The multimodal AI market also includes sales of central processing units (CPUs), graphics processing units (GPUs), and application-specific integrated circuits (ASICs) that are used in providing AI services. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Multimodal AI Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on multimodal ai market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

• Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
• Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, post-pandemic supply chain realignment, inflation and interest rate fluctuations, and evolving regulatory landscapes.
• Create regional and country strategies on the basis of local data and analysis.
• Identify growth segments for investment.
• Outperform competitors using forecast data and the drivers and trends shaping the market.
• Understand customers based on the latest market shares.
• Benchmark performance against key competitors.
• Suitable for supporting your internal and external presentations with reliable high quality data and analysis
• Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
• All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for multimodal ai ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The multimodal ai market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

• Markets Covered: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
• Subsegments:
• 1) By Generative: Text Generation; Image Generation; Audio Generation; Video Generation
• 2) By Translative: Language Translation; Speech-To-Text Translation; Text-To-Speech Translation; Multimodal Translation
• 3) By Interactive: Chatbots; Virtual Assistants; Interactive Storytelling; Educational Tools
• 4) By Explanatory: Data Visualization; Predictive Analytics; Decision Support Systems; Explainable AI (XAI)
• Companies Mentioned: Amazon.com Inc.; Apple Inc.; Alphabet Inc.; Samsung Group; Microsoft Corporation; Meta Platforms Inc.; Huawei Technologies Co. Ltd.; Tencent Holdings Ltd.; IBM corporation; SAP SE; Nvidia Corporation; Baidu AI Cloud; SenseTime; SymphonyAI; C3.ai Inc.; OpenAI; Shippeo; SoundHound AI Inc.; Charles River Analytics Inc.; Smart Eye AB; Sight Machine; Jina AI GmbH; Clarifai Inc.; Sensory Inc.; Aleph Alpha GmbH; Aimesoft; Vokaturi B.V.; Inworld AI; Unqork; Twelve Labs
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery Format: PDF, Word and Excel Data Dashboard.