Rise in healthcare AI application fuels the growth of the global Data Collection and labelling market at a CAGR of 29.4 % during the forecast period 2023 to 2032

Market Research Future (MRFR) has published a cooked research report on the “global Data Collection and Labelling market” that contains the information from 2019 to 2032. The Data Collection and Labelling market is estimated to register a CAGR of 29.4 % during the forecast period of 2023 to 2032.

MRFR recognizes the following companies as the key players in the global Data Collection and Labelling market— Appen Limited, Telcus international, Global Technology Solutions, Alegion, Labelbox, inc, Reality AI, Globalme Localization inc, Dobility Inc, Scale AI, Trilldata Technologies PVT LTD among others.

Market Highlights

The global Data Collection and Labelling market is accounted for to register a CAGR of 29.4 % during the forecast period and is estimated to reach USD 49,634.8 million by 2032.

AI applications are being employed more and more in the medical field to enhance patient care, treatment planning, and diagnosis. One important component is the analysis of medical pictures, in which complex medical imaging, such as MRIs, CT scans, and X-rays, are decoded by artificial intelligence algorithms. The anticipated budgetary allotment for artificial intelligence (AI) and machine learning (ML) in health companies is anticipated to rise to 10.5% in 2023 from 5.5% in 2022, according to a recent analysis by Morgan Stanley. The majority of healthcare companies—exactly 94%—use machine learning (ML) and artificial intelligence (AI) in their varied operations, according to the investment bank.

Furthermore, the healthcare sector is using machine learning techniques more and more to provide a well-structured dataset containing particular instances. This aids in the development and protection of an organization's stored data. This facilitates the efficient management of extensive machine learning healthcare data by healthcare operators, which may be leveraged to optimize the workflow during spikes in workload, staffing deficits, and patient influx. This demonstrates the increasing need for healthcare facilities to use considerable automation. Thus, the significance of carefully annotated datasets is highlighted by the application of artificial intelligence (AI) in healthcare, particularly in the analysis of medical pictures. Through artificial intelligence (AI) applications, the data gathering and Labelling market trend greatly expands datasets and advances healthcare diagnosis and treatment plans. The market for healthcare AI is growing, which emphasizes how important it is for the data gathering and Labelling industry to continue having labelled healthcare data.

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Segment Analysis

The global Data Collection and Labelling market has been segmented based on Data Type, Vertical.

Based on Data Type, the global Data Collection and Labelling market has been segmented into Text, Image/Video, and Audio. Image/Video accounted for the largest market shar in 2023. The large percentage is likely due to the rising use of computer vision in various industries, including automotive, healthcare, media, and entertainment.

Based on Vertical, the global data collection and labelling market has been segmented into IT, Automotive, Government, Healthcare, BFSI, Retail & E-commerce, and Others. In 2023, retail & e-commerce accounted for the largest market share. In the retail industry, AI and machine learning have transformed the way of managing inventories, optimizing sales channels and delivering personalization. Some of the retailers that are conscious of the changing environment have embraced machine learning as a tool to help them cope with the new retail environment, through increased sales, scalability, better customer satisfaction, and efficiency of operations. However, the effectiveness of these models is contingent on proper training, a process that may not be easy to implement within an organization.

Regional Analysis

By Region, the study provides market insights into North America, Europe, Asia-Pacific, Middle East and Africa and South America. North America consists of the U.S, Canada, and Mexico. North America has experienced an increased need for data gathering and tagging. This area, with a great number of large businesses with a fast adoption of innovative technologies is where data annotation and labelling have quickly gained a foothold. The increasing complexity of the AI and machine learning models being developed presents the need for firms to outsource these services to meet their data processing needs.

In the Asia-Pacific region, especially in countries like China, Japan, India, and others included, the use of Artificial Intelligence (AI) and Machine Learning (ML) has significantly increased in the last few years across industries. As these technologies are being applied in the real world, the need for data acquisition and annotation is also growing at an exponential rate.

. The rising trend of using AI and ML technologies in Europe and the high demand for data collection and labelling services is seen as the main impetus. The sectors in the region are gradually adopting AI and ML solutions as the advancement in generative AI has made the technologies more deployable. This is mainly driven by the increasing consciousness of the opportunities that AI and ML bring about despite the relative scarcity of talent in the region. While organizations and governments are trying to harness these technologies and integrate them into their processes to achieve better performance and creativity, the importance of high-quality and annotated data is increasing.

Key Findings of the Study

• The global Data Collection and Labelling market is expected to reach USD 49,634.8 million by 2032, at a CAGR of 29.4% during the forecast period.


• The North America region accounted for the fastest-growing global market.


• Based on data type, the image/video data type segment was attributed to holding the largest market in 2023.


• Appen Limited, Telcus international, Global Technology Solutions, Alegion, Labelbox, inc, Reality AI, Globalme Localization inc, Dobility Inc, Scale AI, Trilldata Technologies PVT LTD among others are some of the players in the market.