Multimodal Search Platform Market Report 2026

The multimodal search platform market size has grown exponentially in recent years. It will grow from $6.02 billion in 2025 to $7.45 billion in 2026 at a compound annual growth rate (CAGR) of 23.6%. The growth in the historic period can be attributed to growth of e-commerce search and discovery, advances in computer vision and nlp, expansion of mobile and voice assistants, increasing digital content volumes, adoption of recommendation engines in retail.

The multimodal search platform market size is expected to see exponential growth in the next few years. It will grow to $17.22 billion in 2030 at a compound annual growth rate (CAGR) of 23.3%. The growth in the forecast period can be attributed to genAI-powered conversational search interfaces, multimodal retrieval augmented generation (RAG) adoption, privacy-first personalization techniques, video and image-first commerce experiences, cross-lingual multimodal search capabilities. Major trends in the forecast period include unified text-voice-image search experiences, context-aware retrieval with nlp and vision models, personalized search ranking and recommendations, enterprise multimodal knowledge discovery, real-time search analytics and feedback loops.

The growing demand for personalized search experiences is expected to drive the growth of the multimodal search platform market going forward. Personalized search experiences refer to search systems that tailor results, recommendations, and content to individual users based on their behavior, preferences, location, purchase history, and intent. The rising demand is fueled by user expectations for results aligned with their specific preferences and behaviors, enhancing relevance, improving satisfaction, and increasing engagement with digital platforms. Multimodal search platforms enhance personalized experiences by integrating text, voice, image, and video inputs to understand user intent more accurately and deliver highly relevant, context-aware results tailored to each user. For instance, in March 2025, according to a report by Nosto, a US-based commerce experience platform, websites using Nosto’s AI-powered search technology recorded a 323% increase in search queries in 2024, resulting in a 1024% rise in revenue for brands between 2023 and 2024. Therefore, the growing demand for personalized search experiences is driving the multimodal search platform market.

Key companies operating in the multimodal search platform market are focusing on developing innovative technologies such as multimodal AI engines to improve search accuracy, user personalization, and overall content discovery. A multimodal AI engine refers to an advanced artificial intelligence system capable of processing and integrating different data types to generate accurate, context-aware, and personalized results while enabling seamless interaction across various input modes to enhance user experience. For instance, in July 2025, Shiprocket Limited, an India-based public limited company, launched a multimodal AI model to empower MSMEs and D2C businesses by integrating advanced AI capabilities to streamline operations, enhance customer engagement, and improve decision-making. The model leverages multiple data types, including text, images, and voice, to deliver intelligent insights and personalized experiences, helping businesses automate processes, optimize logistics, and scale efficiently in the competitive digital commerce ecosystem.

In August 2025, Rezolve AI PLC, a UK-based AI-powered commerce company, acquired ViSenze Pte. Ltd. for an undisclosed amount. Through this acquisition, Rezolve AI PLC aims to utilize ViSenze’s advanced visual search and AI-powered image recognition technologies to enhance its multimodal search capabilities, improve user experience, and expand its presence in the global AI-driven commerce ecosystem. ViSenze Pte. Ltd. is a Singapore-based technology company that provides a multimodal search platform.

Major companies operating in the multimodal search platform market are Apple Inc., Google LLC, Microsoft Corporation, Meta Platforms Inc., Alibaba Group Holding Limited, Amazon Web Services Inc., IBM Corporation, Oracle Corporation, SAP SE, NEC Corporation, Baidu Inc., Snap Inc., Pinterest Inc., Elastic N.V., SenseTime Group Inc., Rezolve AI PLC, Cohere Inc., Hugging Face Inc., Pinecone Systems Inc., ClarifAI Inc.

North America was the largest region in the multimodal search platform market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the multimodal search platform market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the multimodal search platform market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs have created both challenges and opportunities for the multimodal search platform market by increasing the cost of importing servers, storage systems, GPUs, and networking equipment used to run AI-powered search workloads. These higher infrastructure costs can slow large-scale deployments for enterprises and media platforms, particularly in North America and Europe that depend on Asia-Pacific supply chains for compute hardware. Hardware-intensive segments such as on-premises inference clusters, GPU acceleration infrastructure, and high-performance storage for video and image indexing are most affected due to higher capital expenditure and longer procurement cycles. However, tariffs are also encouraging greater use of cloud-based multimodal search services, accelerating model optimization for cost efficiency, and pushing vendors to improve software performance per watt. Providers are enhancing compression, caching, and hybrid deployment options to help customers maintain search quality while controlling operational costs.

The multimodal search platform market research report is one of a series of new reports that provides multimodal search platform market statistics, including multimodal search platform industry global market size, regional shares, competitors with a multimodal search platform market share, detailed multimodal search platform market segments, market trends and opportunities, and any further data you may need to thrive in the multimodal search platform industry. This multimodal search platform 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.

A multimodal search platform is an advanced search system that enables users to retrieve information using multiple input types, including text, voice, image, and video, simultaneously. It uses artificial intelligence (AI), natural language processing (NLP), and computer vision to interpret and connect data across different modalities, providing more accurate, intuitive, and context-aware search experiences. These platforms are increasingly adopted across industries such as e-commerce, healthcare, and media to enhance user engagement, improve information discovery, and deliver more personalized results.

The key components of a multimodal search platform are software, hardware, and services. Software refers to the AI-powered applications and algorithms that allow users to perform searches using multiple input formats such as text, images, voice, and video, enhancing accuracy, context understanding, and user experience. These platforms are deployed through on-premises and cloud models, serving organizations of all sizes, including small and medium enterprises (SMEs) and large enterprises, and are applied across industries such as e-commerce, healthcare, media and entertainment, retail, banking, financial services and insurance (BFSI), information technology (IT) and telecommunications, and others. The key end users include enterprises, individual users, government organizations, and others.

The multimodal search platform market includes revenues earned by entities by providing services such as natural language processing services, metadata enrichment services, enterprise knowledge management search services, multimodal search engine deployment services, and multimodal data integration services. The market value includes the value of related goods sold by the service provider or included within the service offering. The multimodal search platform market also includes sales of storage devices, networking equipment, edge devices, sensors, cameras, microphones, and data processing units (DPUs). 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.

This product will be delivered within 1-3 business days.