Data Annotation and Labeling Market Report 2026

Data Annotation and Labeling Market Overview

• Data Annotation and Labeling market size has reached to $2.25 billion in 2025 • Expected to grow to $9.27 billion in 2030 at a compound annual growth rate (CAGR) of 32.8% • Growth Driver: Artificial Intelligence And machine learning's Impact On The Data Annotation And Labeling Market • Market Trend: Advancing Data Annotation Innovations And Tools Driving Market Growth • North America was the largest region in 2025.

What Is Covered Under Data Annotation and Labeling Market?

Data annotation, additionally referred to as data labeling, is the act of attributing, tagging, or labeling data using various metadata formats such as audio, text, pictures, and videos to train machine learning models. It is required to train AI (artificial intelligence) models so that they can properly understand varied kinds of data. The main components of data annotation and labeling are solutions and services. A solution is a technique or procedure for resolving a problem or fulfilling a requirement. It includes various data types such as text, image, video, and audio, with several types of annotation are included, such as manual, automatic, and semi-supervises. It is used for several application, including dataset management, security and compliance, data quality control, workforce management, content management, catalog management, sentiment analysis, and others, and are used by various end-users, such as banking, financial services, and insurance (BFSI), information technology and information technology-enabled services (ITES), healthcare and life science, telecom, government defense, and public agencies, retail and consumer goods, automotive, and others.

What Is The Data Annotation and Labeling Market Growth Forecast?

The data annotation and labeling market size is expected to see exponential growth in the next few years. It will grow to $9.27 billion in 2030 at a compound annual growth rate (CAGR) of 32.8%. The growth in the forecast period can be attributed to integration of ai-powered annotation tools, growth in automated and semi-supervised annotation, increasing demand for multi-modal data labeling, expansion of annotation services in healthcare and automotive, development of domain-specific customized annotation solutions. Major trends in the forecast period include automated annotation solutions, crowd-sourced data labeling, quality assurance and validation, multi-modal data annotation, domain-specific annotation services.

Global Data Annotation and Labeling Market Segmentation

1) By Component: Solution, Service 2) By Data Type: Text, Image, Video, Audio 3) By Annotation Type: Manual, Automatic, Semi-Supervises 4) By Application: Dataset Management, Security And Compliance, Data Quality Control, Workforce Management, Content Management, Catalog Management, Sentiment Analysis, Other Applications 5) By Verticals: Banking Financial Services And Insurance (BFSI), Information Technology And Information Technology Enabled Services (ITES), Healthcare And Life science, Telecom, Government Defense And Public Agencies, Retail and Consumer Goods, Automotive, Other Verticals Subsegments: 1) By Solution: Automated Annotation Tools, Annotation Software Platforms, Data Management Solutions 2) By Service: Manual Annotation Services, Data Quality Assurance Services, Custom Annotation Solutions, Crowd-Sourced Annotation Services

What Is The Driver Of The Data Annotation and Labeling Market?

The increasing usage of artificial intelligence and machine learning is expected to propel the growth of the data annotation and labeling market going forward. Artificial intelligence involves creating computer systems to perform tasks requiring human intellect, while machine learning focuses on algorithms learning from data to predict, categorize, and automate processes without explicit coding for each task. The increasing use of artificial intelligence and machine learning is primarily driven by the explosion of data, as vast and diverse datasets enable these technologies to learn, improve accuracy, and generate valuable insights at scale. Data annotation and labeling in machine learning and artificial intelligence are critical for training algorithms because they provide labeled datasets that allow machine learning models to spot patterns, anticipate outcomes, and perform jobs effectively. For instance, in October 2025, according to Netguru S.A., a Poland-based software development company, in 2024, the adoption of generative AI reached 71%, a sharp rise from 33% in 2023, reflecting the swift increase in business trust and reliance on these advanced technologies. Therefore, the increasing usage of artificial intelligence and machine learning is driving the data annotation and labeling industry.

Key Players In The Global Data Annotation and Labeling Market

Major companies operating in the data annotation and labeling market are Google LLC; Amazon Web Services Inc.; The International Business Machines Corporation; Oracle Corporation; Adobe Inc.; Allegion PLC; TELUS International; Appen Ltd; Scale AI Inc; CloudFactory Limited; Anolytics; CapeStart Inc.; Clickworker; DataPure Technologies; Amantya Technologies; Labelbox Inc.; LXT AI Inc.; Keylabs.AI LTD.; Dataloop AI; Precise BPO Solution; SuperAnnotate; Label Your Data; V7 Labs; Cogito Tech LLC; AI Data innovation; Sigma AI; LightTag; Datasur N.V.; Kili technology Corp.; Segment AI

Global Data Annotation and Labeling Market Trends and Insights

Major companies operating in the data annotation and labeling market are focusing on products with technological upgrades such as structured data annotation tools to strengthen their position in the market. Structured data annotation tools are software applications that allow users to mark and tag structured data so that machine learning algorithms can identify and process it more easily. For instance, in March 2023, SciBite Limited, a UK-based company that offers a data annotation tool, launched Workbench. Workbench is a structured data annotation application that makes it easier to curate data using terminology and ontology standards. Workbench assists businesses with implementing a FAIR approach to data management, which ensures that data is findable, accessible, interrelated, and reusable. Data scientists and curators can correctly annotate data using Workbench's straightforward user interface, saving time and increasing replicability. Workbench also features a robust REST API that provides programmatic access to fundamental operations, allowing for integration into bespoke data curation workflows.

What Are Latest Mergers And Acquisitions In The Data Annotation and Labeling Market?

In August 2023, iMerit Inc., a US-based company specializing in AI data solutions, acquired Ango.AI for an undisclosed amount. The aim of the acquisition is to combine iMerit's expertise in AI data solutions with Ango.AI's advanced data labeling technology, enhancing the development and efficiency of AI projects. This strategic move aims to expand iMerit's technological capabilities, facilitate faster AI development, and strengthen its position in the market. Ango.ai. is a Turkey-based AI-supported data labeling platform.

Regional Insights

North America was the largest region in the data annotation and labeling market in 2025. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

What Defines the Data Annotation and Labeling Market?

The data annotation and labeling market includes revenues earned by entities by providing services such as object detection, sentiment analysis, named entity recognition, and quality assurance for machine learning and AI model training datasets. 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.

How is Market Value Defined and Measured?

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.

What Key Data and Analysis Are Included in the Data Annotation and Labeling Market Report 2026?

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