Data Annotation Tools Market Report 2025

The data annotation tools market size has grown exponentially in recent years. It will grow from $2.33 billion in 2024 to $2.99 billion in 2025 at a compound annual growth rate (CAGR) of 28.3%. The growth in the historic period can be attributed to rise in demand for annotated data, need for high-quality labeled data, regulatory compliance requirements, development of autonomous vehicles, focus on data quality and accuracy, global expansion of smart agriculture.

The data annotation tools market size is expected to see exponential growth in the next few years. It will grow to $8.92 billion in 2029 at a compound annual growth rate (CAGR) of 31.5%. The growth in the forecast period can be attributed to advancements in annotation automation, increasing adoption of federated learning, emphasis on active learning techniques, enhanced tools for handling 3d data, development of annotation tools for multimodal data, focus on cost-effective annotation solutions. Major trends in the forecast period include growing emphasis on computer vision, outsourcing of data annotation services, shift toward semi-supervised and self-supervised learning, crowdsourcing for large-scale annotation projects, collaboration features in annotation platforms.

The growth of the data annotation tools market is anticipated to be propelled by the increasing prominence of big data. Big data, characterized by its diverse and large-scale information, plays a pivotal role in data annotation for machine learning processes. The metrics employed in these processes involve the storage, analysis, and management of substantial volumes of data. According to a report by the World Economic Forum, it is estimated that by 2025, a staggering 463 exabytes of massive data, equivalent to 212.77 million DVDs per day, will be generated globally. This surge in big data usage is poised to drive the growth of the data annotation tools market.

The growing internet penetration in both rural and urban regions is anticipated to drive the growth of the data annotation tools market in the future. Internet penetration refers to the proportion of a population that has access to the internet. The rise in internet usage is leading to a higher demand for data annotation tools, propelled by the expanding volume of data available for analysis and understanding. This trend is a direct consequence of the widespread adoption of AI and machine learning technologies across various sectors, highlighting the critical importance of data annotation in training and improving these technologies. For example, in October 2022, DataReportal, a Singapore-based online reference library, reported that approximately 5.07 billion people worldwide use the internet, accounting for 63.5% of the global population. The number of internet users continues to increase, with data showing that the connected population grew by over 170 million in the last 12 months. Furthermore, in July 2022, Livemint, an Indian financial daily newspaper, stated that India had a total of 692 million active internet users, comprising 351 million from rural areas and 341 million from urban regions. The report predicts that India will reach 900 million internet users by 2025. Thus, the rising internet penetration is set to fuel the data annotation tools market during the forecast period.

Leading companies in the data annotation tools market are introducing innovative products, such as artificial intelligence (AI)-driven data development platforms, to improve the accuracy, scalability, and efficiency of data labeling processes. AI-driven data development platforms are tools or systems that utilize artificial intelligence to automate and optimize the collection, organization, labeling, and preparation of data for use in machine learning (ML) models. For example, Snorkel AI, a US-based software company, launched Snorkel Flow. Snorkel Flow is an AI data development platform designed to facilitate the training data labeling and model development processes for enterprises. The latest version of Snorkel Flow enhances the platform's support for subject matter experts (SMEs) in areas such as annotation, evaluation, and collaboration. It also introduces a reviewer workflow management feature that streamlines the review process by increasing triage efficiency and simplifying the correction of labeling errors.

Major companies in the data annotation tools market are increasingly emphasizing strategic partnerships and collaborations as a means to enhance their financial strength, fortify their product portfolios, and broaden their global presence. A strategic partnership or collaboration involves a formal alliance where two or more organizations combine their resources, expertise, and capabilities to achieve mutually advantageous objectives. As an illustration, in November 2022, TechSee, an Israel-based company specializing in AI-powered service automation and visual engagement technologies, announced a strategic partnership with TELUS International, a Canada-based digital customer experience innovator. This collaboration is geared towards introducing live computer vision capabilities to engagement centers, enriching TELUS International's technology stack. Through this partnership, TechSee's suite of AI-powered service automation and visual engagement products will be integrated into TELUS International's customer offerings. The collaboration is anticipated to drive innovation and enhance profitability for TELUS International's clients, ultimately facilitating the delivery of superior customer experiences.

In February 2022, Primer, a US-based internet company that assists organizations in understanding vast amounts of text data using AI, acquired LightTag for an undisclosed sum. This acquisition aims to streamline the data annotation process, enabling users to automate the tagging and labeling of data, which in turn reduces lead times and enhances efficiency in the natural language processing (NLP) pipeline. LightTag is a text annotation tool company based in Germany.

Major companies operating in the data annotation tools market are Appen Limited, CloudApp, Cogito Tech LLC, Deep Systems, iMerit Technology Services Pvt. Ltd., Samasource Inc., Lionbridge Technologies Inc., Clickworker GmbH, CloudFactory Limited, Scale Inc., Amazon Web Services Inc., Playment Inc., Labelbox Inc., Neurala Inc., Webtunix AI, Hive CloudApp Inc., TagX, Anolytics, LightTag, Alegion Inc., DefinedCrowd Corporation, Edgecase AI, V7 Labs, Supervisely OÜ, Dataloop AI.

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

A data annotation tool is a software solution designed for annotating production-grade training data for machine learning. These tools can be cloud-based, on-premises, or containerized.

The primary types of data annotation tools include text, image or video, and audio annotation. Text annotation involves tagging various sentiments in text, such as angry or sarcastic, to train the machine in recognizing human intent or emotion behind words in specific applications. These tools employ various supervised, semi-supervised, and automatic technologies and find applications in diverse verticals, including IT, automotive, government, healthcare, financial services, retail, and other industries.

The data annotation tools market research report is one of a series of new reports that provides data annotation tools market statistics, including data annotation tools industry global market size, regional shares, competitors with a data annotation tools market share, detailed data annotation tools market segments, market trends and opportunities, and any further data you may need to thrive in the data annotation tools industry. This data annotation tools 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 data annotation tools market consists of revenues earned by entities by providing data annotation services such as voice activity detection, speaker identification, automated speech, content moderation, data labelling services, and others. The data annotation market also includes sales of macOS, Windows, Linux, bounding boxes, and other types that are used in providing data annotation. 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.

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