Data Collection and Labelling Market Size, Share, Trends and Analysis by Region, Type, Vertical, and Segment Forecast to 2030 

Accessing the in-depth insight from the ‘Data Collection and Labelling’ report can help you:

• Make informed decisions about market entry, technology adoption, and project plannings
• Identify your competitors’ capabilities to stay ahead in the market
• Identify promising segment analysis (Types and Vertical), growth trends, regional trends, and markets to expand your regional presence, product portfolio, or successful investment
• Anticipate expected changes in demand and adjust your business development strategies
• Identify ongoing potential developments across regions

How is our ‘Data Collection and Labelling’ report different from other reports in the market?

• The report presents in-depth market sizing and forecast at a segment level for more than 20 countries including historical and forecast analysis for the period 2020-2030 for market assessment
• Detailed segmentation by type – Texts, Audios, Images, and Videos
• The report highlights segmentation by vertical – BFSI, IT, Retail, Healthcare, Manufacturing (Automotive), Government, Media, and Others
• The report offers technological and regulatory trends, along with driving and challenging factors impacting the data collection and labelling market. The report further presents an overview of different use cases and role of data collection and labelling across various countries, which is expected to help stakeholders to understand and identify new application areas
• Competitive landscape includes recent developments and their impact analysis, heat map analysis for key companies, list of key emerging companies and their fundings, and recent mergers & acquisitions
• Competitive profiling and benchmarking of key players in the market provides deeper understanding of industry competition

We recommend this valuable source of information to anyone involved in:

• Data Collection and Labelling Companies
• Artificial Intelligence Solution Providers
• Machine Learning Solution Provider

• Vice President Technology
• Director Engineering – R&D

• Management Consultants
• Venture Capital Firms

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Data Collection and Labelling Market Overview

The data collection and labelling market will be valued at $2.82 billion in 2023 and is expected to grow at a compound annual growth rate (CAGR) of 26.8% over the forecast period. The rapid adoption of AI and machine learning technologies across various industries is driving the need for high-quality training data. This is increasing demand for data collection and labeling services that can provide accurate and relevant data for training these systems.

AI and machine learning models require large volumes of high-quality training data to learn and improve their accuracy. This is particularly true for supervised learning models, which require labeled data to learn from. Data labeling services provide a way to label large volumes of data efficiently and accurately, which is essential for training these models.

Data Collection and Labelling Market Outlook, 2020-2030 ($ billion)

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Data labeling services can help improve the accuracy and efficiency of AI and machine learning models by providing high-quality labeled data. This is important for applications such as fraud detection, predictive maintenance, and personalized marketing, where the accuracy of the model is critical to its success.

Data Collection and Labelling Market Segmentation by Type

The data collection and labelling market by type is bifurcated into Texts, Audios, Images, and Videos. The choice of labeling method depends on the type of data, the accuracy required, and the available resources. In some cases, a combination of manual and automated labeling methods may be used to achieve the best results.

Image data collection and labeling involves collecting and labeling visual data such as photographs, diagrams, and satellite imagery. This type of data is widely used in computer vision applications, such as object detection, image segmentation, and facial recognition.

Text data collection and labeling involves collecting and labeling textual data such as documents, emails, social media posts, and customer feedback. This type of data is widely used in natural language processing (NLP) applications, such as sentiment analysis, topic modeling, and text classification.

Audio data collection and labeling involves collecting and labeling audio data such as speeches, podcasts, and music. This type of data is widely used in speech recognition, speaker identification, and audio event detection.

Collecting video data involves capturing and storing video footage for further analysis. There are various sources of video data, including surveillance cameras, drones, smartphones, and webcams. Collecting video data requires specialized tools and techniques, such as video cameras, video recorders, and video management software.

Data Collection and Labelling Market Share by Type, 2023 (%)

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The image data collection and labeling market is a rapidly growing industry, driven by the need for accurate and diverse data sets for computer vision applications such as object recognition, face recognition, and autonomous driving. This market involves the collection and labeling of images that are then used to train machine learning algorithms to recognize objects, faces, and other visual features.

Data Collection and Labelling Market Segmentation by Vertical

The data collection and labelling market by vertical segment is categorized into BFSI, IT, Retail, Healthcare, Manufacturing (Automotive), Government, Media, and others. Data collection and labeling are essential steps in developing machine learning models. The process involves collecting and annotating data, which is then used to train the model. Data collection and labeling can vary depending on the vertical, or industry, in which it is being used.

In healthcare, data collection and labeling can involve collecting patient data such as medical records, lab results, and imaging scans. This data can be used to train models for tasks such as diagnosing diseases, predicting patient outcomes, and identifying risk factors.

In e-commerce, data collection and labeling can involve collecting data on customer behaviors, such as their browsing and purchase history. This data can be used to train models for tasks such as recommending products, predicting customer preferences, and detecting fraud.

Data Collection and Labelling Market Share by Vertical, 2023 (%)

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The data collection and labeling market in healthcare refers specifically to the industry that provides services for collecting and labeling data in the healthcare sector. This includes medical data such as electronic health records, medical images, and other health-related information.

In healthcare, data collection and labeling play a crucial role in enabling the development of predictive models and algorithms that can help healthcare professionals make more informed decisions. For example, data can be collected and labeled to help identify patients who are at risk of developing certain medical conditions, or to predict the outcomes of certain treatments.

Data Collection and Labelling Market Analysis by Region

The North America region is leading the market with a maximum revenue share in 2023 and is projected to experience a compound annual growth rate of 23.9% over the forecast period. The data collection and labeling market in North America is expected to continue to grow in the coming years, driven by the increasing demand for high-quality labeled data for various applications such as machine learning, artificial intelligence, and data analysis.

The market is expected to see a significant increase in the use of automated tools and crowd-sourcing platforms to speed up the data labeling process and reduce costs. Furthermore, the increasing demand for specialized data labeling services, such as healthcare and finance, is expected to create new opportunities for companies in this market.

The development of data collection and labeling in the Asia-Pacific (APAC) region has been driven by several factors, including the growth of artificial intelligence (AI) and machine learning (ML), the increasing adoption of cloud computing and big data analytics, and the availability of a large and skilled workforce.

The adoption of cloud computing and big data analytics has been increasing rapidly in APAC, which has created new opportunities for companies in the data collection and labeling market. Cloud computing provides a scalable and cost-effective platform for storing and processing large volumes of data, while big data analytics enables companies to extract insights and value from their data. These technologies have made it possible to collect and label large volumes of data quickly and accurately.

Data Collection and Labelling Market Share by Region, 2023 (%)

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The US accounted for the largest share and is estimated to witness significant growth, owing to high technological penetration in the country. The data collection and labeling market in North America is a rapidly growing industry that involves collecting and labeling data for various applications such as machine learning, artificial intelligence, and data analysis. This market is driven by the increasing demand for data-driven insights and the need for high-quality labeled data to train machine learning algorithms.

North America is expected to hold a significant share of this market, owing to the presence of major players in this region. Some of the key players operating in the data collection and labeling market in North America include Appen Limited, SuperAnnotate, CloudFactory Limited, Scale AI, Inc., and Labelbox, Inc, among others. These companies provide a wide range of data collection and labeling services, including image annotation, text annotation, video annotation, audio annotation, and natural language processing.

The data collection and labelling market in APAC is experiencing significant growth due to several factors, including the region’s large and diverse population, rapid adoption of AI and machine learning technologies, and increasing demand for high-quality training data.

Data Collection and Labelling Market – Competitive Landscape

The global data collection and labelling market is very competitive in terms of the number of players. The last two years, since the start of the COVID pandemic in early 2020, have seen many mergers and acquisitions (M&A) spurred by the widespread move to remote work. The report covers M&A deals involving data annotation provider companies.

In order to maintain a competitive edge in the market, companies are concentrating on growing their clientele. As a result, companies are undertaking a number of strategic efforts, including alliances, acquisitions, and mergers with other significant industry competitors. For instance, in September 2022, CloudFactory Limited acquired Hasty. Hasty is a machine learning startup that specializes in data labeling and annotation for computer vision models.

Key players in the data collection and labelling market include Appen Ltd, CloudFactory Limited, IBM, Labelbox Inc., Oracle, Scale AI, Summa Linguae Technologies, SuperAnnotate, TELUS International among others.

Leading Players in the Data Collection and Labelling Market

• Alegion Inc.
• Appen Ltd.
• Clarifai, Inc.
• CloudFactory Limited
• Datasaur
• International Business Machines Corp.
• Labelbox, Inc.
• Oracle Corp.
• Scale AI, Inc.
• Summa Linguae Technologies
• SuperAnnotate AI, Inc.
• TELUS International Inc.

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Data Collection and Labelling Market Research Scope

Data Collection and Labelling Market Segments and Scope

GlobalData Plc has segmented the data collection and labelling market report by type, vertical, and region:

Data Collection and Labelling Type Outlook (Revenue, $ Million 2020-2030)

• Texts
• Audios
• Images
• Videos

Data Collection and Labelling Vertical Outlook (Revenue, $ Million 2020-2030)

• BFSI
• IT
• Retail
• Healthcare
• Manufacturing (Automotive)
• Government
• Media
• Others

Data Collection and Labelling Regional Outlook (Revenue, $ Million 2020-2030)

• North America
• US
• Canada
• Europe
• UK
• Germany
• France
• Netherlands
• Italy
• Spain
• Rest of Europe
• Asia-Pacific
• China
• India
• Japan
• South Korea
• Australia
• Rest of APAC
• South & Central America
• Brazil
• Argentina
• Mexico
• Rest of South & Central America
• Middle East & Africa
• Saudi Arabia
• South Africa
• United Arab Emirates
• Rest of Middle East & Africa