Artificial Intelligence (AI) Dataset Search Platform Global Market Report 2025

The artificial intelligence (AI) dataset search platform market size has grown exponentially in recent years. It will grow from $1.61 billion in 2024 to $2.08 billion in 2025 at a compound annual growth rate (CAGR) of 28.8%. The growth during the historic period can be attributed to the increasing demand for labeled datasets for model training, the rising adoption of artificial intelligence across industries, the growing focus on open data initiatives by governments, the surge in academic research utilizing public datasets, the expansion of data sharing collaborations among enterprises, and the increasing awareness of data-driven decision-making.

The artificial intelligence (AI) dataset search platform market size is expected to see exponential growth in the next few years. It will grow to $5.66 billion in 2029 at a compound annual growth rate (CAGR) of 28.4%. The growth during the forecast period can be attributed to the growing emphasis on responsible and ethical artificial intelligence, the increasing investments in artificial intelligence infrastructure by enterprises, the rising need for domain-specific datasets in specialized applications, the expansion of artificial intelligence adoption in small and medium enterprises, the surge in data generation from connected devices and sensors, and the increasing focus on data transparency and governance regulations. Key trends in the forecast period include technological advancements in natural language-based dataset search algorithms, advancements in semantic search and data indexing techniques, innovations in metadata tagging and dataset curation automation, developments in privacy-preserving dataset discovery methods, research and development in generative artificial intelligence for synthetic dataset creation, and innovations in federated search frameworks for distributed data sources.

The increasing adoption of cloud-based platforms is expected to drive the growth of the artificial intelligence dataset search platform market in the coming years. Cloud-based platforms refer to online infrastructures and services that provide computing resources, storage, and applications over the internet instead of relying on local servers or devices. The adoption of these platforms is rising due to their scalability, which allows flexible resource management and cost efficiency. Artificial intelligence dataset search platforms facilitate the use of cloud-based platforms by enabling smooth data access, storage, and processing across scalable cloud environments. For example, in January 2025, according to AAG IT, a UK-based IT services company, approximately 63% of small and medium-sized business workloads and 62% of their data were projected to be hosted in public clouds by 2023, compared to 57% of workloads and 56% of data in 2022. Hence, the increasing adoption of cloud-based platforms is fueling the growth of the artificial intelligence dataset search platform market.

Key companies operating in the artificial intelligence dataset search platform market are concentrating on integrating advanced artificial intelligence models such as generative artificial intelligence to improve data discovery, contextual understanding, and decision-making efficiency. Generative artificial intelligence is a branch of artificial intelligence that employs large language models and neural networks to generate new content, including text, images, or code, by learning from extensive datasets and identifying underlying data patterns. For example, in May 2023, data.world, a United States-based data catalog and discovery platform provider, introduced the Data Catalog Platform with Generative AI Bots, a generative artificial intelligence-enhanced solution developed to simplify data discovery and interaction through natural language queries and metadata automation. The platform includes artificial intelligence-driven chat-style bots for discovery, knowledge graph-powered metadata enrichment, and governance-focused bots for automation. This solution enhances the accessibility of data assets, accelerates decision-making, and improves efficiency in data cataloging and data-driven workflows.

In January 2024, Hugging Face, a United States-based platform for open-source artificial intelligence models and datasets, collaborated with Google Cloud to integrate its model and dataset ecosystem with Google’s scalable infrastructure for artificial intelligence and machine learning. Through this partnership, Hugging Face aims to broaden access to its datasets and accelerate model training, tuning, and deployment on Google Cloud’s advanced tensor processing unit and graphics processing unit-based systems using services such as Vertex AI. Google Cloud is a United States-based technology company specializing in cloud computing, artificial intelligence infrastructure, and large-scale machine learning solutions.

Major players in the artificial intelligence (ai) dataset search platform market are Amazon.com Inc., Google LLC, Microsoft Corporation, International Business Machines Corporation, Oracle Corporation, HCL Technologies Ltd., Databricks Inc., Snowflake Inc., Collibra N.V., Labelbox Inc., Hugging Face Inc., data.world Inc., Explorium Ltd., Clarifai Inc., Roboflow, Voxel51, Secoda Inc., Datarade GmbH, SelectStar Inc., and OpenML Limited.

North America was the largest region in the artificial intelligence (AI) dataset search platform market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI) dataset search platform report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the artificial intelligence (AI) dataset search platform market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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 rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

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

An artificial intelligence dataset search platform refers to a specialized online service created to assist users in finding datasets suited for artificial intelligence and machine learning. It employs intelligent search functions and filters to identify relevant data from public repositories, private databases, or commercial providers. The platform usually provides key information such as data format, size, licensing, and quality metrics, with the primary aim of enhancing AI development by making the process of data sourcing more efficient.

The primary components of artificial intelligence dataset search platforms include software and services. Software refers to a collection of digital programs and operational data that direct a computer to execute particular tasks and processes. It provides various deployment options, such as cloud-based and on-premises, and is utilized by enterprises of different sizes, including small and medium enterprises and large enterprises. It is applied in healthcare, finance, retail, automotive, education, information technology, and telecommunications by several end-users, including enterprises, research institutes, government organizations, and others.

The artificial intelligence (AI) dataset search platform market includes revenues earned by entities by data curation services, data annotation and labelling services, data validation and cleansing services, model evaluation and benchmarking services, workflow automation and orchestration services, and performance monitoring services. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

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.

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