Data Collection and Labeling Market

Data Collection and Labelling Market Outlook (2022-2032)

The data collection and labelling market has garnered a market value of US$ 1848.06 Mn in 2022, anticipated to register a positive CAGR of 18% in the forecast period 2022-2032 and reach a value of US$ 9,670 Mn.

Technological advancements and increasing demand for convenience indirectly contribute to the growth of the data collection and labelling market.

Report Attributes	Details
Market Size in 2022	US$ 1,848.06 Million
Projected Market Forecast Value by 2032	US$ 9,670 Mn
Global Growth Rate (2022 to 2032)	18% CAGR
Market Share of U.S	27%
Key Companies Profiled	Appen Limited Reality AI Globalme Localization Inc. Global Technology Solutions Alegion Labelbox Inc Dobility Inc. Scale AI Inc. Trilldata Technologies Pvt. Ltd. Playment Inc.

The artificial intelligence software that is built into products like smart speakers is trained with data collection and labeling.

Tools for collecting and labeling data will play a critical role in planning and executing a digital transformation in business processes in the near future.

Data Collection and Labelling Revenue Analysis from 2017-2021 Vs Outlook 2022-2032

According to Fact.MR, market research and competitive intelligence provider, from 2017 to 2021, the global market for data collection and labeling has grown at a CAGR of almost 16%.

The global data collection and labeling market is driven by a multitude of factors such as increasing awareness among the consumers about digitalization, evolving healthcare treatments, and advanced technologies that will continue to grow in the future.

The rapid spread of coronavirus has rendered all of the assumptions and metrics used to measure its spread inadequacy. Globally, governments are evaluating extended public isolation measures as the total number of cases exceeds 1.4 million. As this measure gains momentum, uncertainties will increase in the data collection and labelling market. Many companies have already implemented measures to combat the adverse impacts.

The increasing popularity of drones andd robotics is expected to increase the market for machine learning in the future. A growing market for autonomous vehicles has gained considerable attention over the next few years. Hence the market is likely to surge at a CAGR of 18% from 2022-2032.

What are the Factors Driving Expansion of the Data Collection Software Industry?

Data Collection and Labeling in the Healthcare Industry will Generate Significant Growth

Medical care is extremely complicated in the modern era. Hospitals, insurance companies, pharmaceutical companies, and government entities are all part of its network. Health care organizations can boost their competitiveness by using data collection and analysis software. By identifying inefficiencies across a business' revenue cycle, paying parties can communicate more efficiently, and profitability can improve.

Several data collection and labeling initiatives are expected to have an important influence on the healthcare industry. The increasing number of chronic patients and various diseases around the globe has fueled the market demand for data collection and labeling. With the rise in demand for medical imaging employing computer vision technology to sense patterns and detect injury or disease, market demand for the collection and labelling of medical images has soared.

With the widespread adoption of electronic health records in the healthcare sector as well as the need for verified clinical information for further studies on patients, market demands for data collection and labeling have increased in recent years. The use of big data by hospitals and other healthcare companies is allowing them to improve organizational decision-making, market more competitively, increase patient satisfaction, and ultimately increase their bottom line.

How is the market demand for data collection and labeling being driven by several R&D activities?

Modern applications for well-being rely heavily on real-time physiological data collection and analysis. The use of personalized classifiers and detectors outperforms general classifiers in a number of contexts. As a result, several challenges arise, ranging from the development of an effective system for collecting signals and labels to creating strategies to interact with the users to create a dataset that represents the various environments in which users interact on a daily basis.

Various studies are conducted on the development of software for collecting consumer data from IoT and social networking sites. Researchers are conducting various studies to determine what information is collected and what information can be excluded from the market. Growing concern about privacy has also led companies to create data protection programs to safeguard one's data and keep one from data breaches.

Moreover, researchers also examine how the availability of data for various industries can be leveraged for higher sales through the use of those data. In recent years, a variety of R&D investments by government and non-government organizations have pushed the market for data collection and labeling of business activities.

Country Wise Analysis

Which Industries are leveraging the data collection and labeling market in the U.S?

Extensive Reliance on Cloud-based and AI-integrated Services Spurring Deployment

The United States is projected to hold the largest market share in 2021 and will continue to hold this position throughout the forecast period. US revenues constitute 27% of the global revenue. With the rise of e-commerce industries and an increase in online shopping, the market demand for data labeling and collection has increased.

The growing number of automotive markets and the trend for customers to purchase products through both online and offline platforms have pushed demand for data collection and labeling services upward. With a constant increase in the number of IT industries and cloud-based services, market demand for real-time data labeling has dramatically increased.

In addition, more media services and AI integrated services have become potential sources of data for data collectors. A significant part of the growth in the U.S. market may be attributable to the increasing integration and usage of mobile computing platforms as well as digital transactions for online shopping facilities that drive the demand for data collection and labeling.

How are Government Initiatives Influencing Data Collection and Labeling in India?

Deepening Digital Literacy and Consequent Emergence as an Outsourcing Hub

Due to its dependency on digital platforms for government, healthcare, retail, and large-scale industries in developing economies, India is the fastest-growing market for data collection and labeling. Smartphones and access to technology have accelerated market demand for data collection and labeling. Fact.MR expects the Indian market to account for 25% of total data collection and labeling services demand.

India has emerged as one of the main outsourcing destinations for data labeling for apparent reasons. As globalization continues to rise in this region, there has been a significant increase in the market demand for data collection and labeling services in the market. As the BPO boom in the country grew, the Indian labor force was more than ready to fill vacant positions in the data labelling industry.

With the growing number of government-sponsored programs and for the purpose of configuring different country-based works, the market demand for data collection and labeling services has increased. India, for instance, has implemented Aadhar Card registration policies that require citizens to link their online accounts to their official government IDs. Through these policies, data collection and labeling have become more widespread throughout the country.

How are Technological Innovations Proliferating Demand for data collection and labeling in China?

Increasing Adoption of Artificial Intelligence Propelling Demand

China is seeing a great proliferation of artificial intelligence (AI) products and services ranging from payment systems based on facial recognition to automated surveillance and even AI-animated state media anchors. Although some Chinese consumer’s express concerns over invasive applications of these technologies, Chinese consumers largely see them as novel and futuristic.

For instance, Appen has rolled out a complete suite of artificial intelligence solutions to companies in China, including a wide range of training data collection and annotation services and solutions. China is a global leader in the development of Artificial Intelligence and has a unique set of local needs that make it a unique hub in this field.

Their experience and knowledge in a variety of different areas enable them to provide high-quality localized AI data solutions for local and international needs and demands. As per Fact.MR, China is likely to accumulate 40% revenue in the global market.

Category-wise Insights

Which Data Type is expected to Make Maximum Usage of Data Collection and Labelling Services?

Image/Video Analysis to Garner Maximum Revenues

The image/video analysis segment holds a majority value share of more than 35% of the total market. The generalization of facial recognition technology and public surveillance by governments across the globe has become one of the key factors driving economic growth.

Also, the ubiquitous use of facial recognition as a prominent feature in smartphones produces even more demand for image/video data collection and labeling. Audio data collection and labeling, however, is expected to offer the highest potential growth in the market.

How will the Automotive Industry Deploy Data Collection and Labeling?

AI-enabled data collection to increase the market growth of data collection and labeling

As technological innovation and advancements in the automotive industry continue to grow, this is driving the market demand for data collection and labelling market. In the coming years, the worldwide market demand for autonomous driving will increase to the point that the market for data collection and labeling will grow considerably.

A rise in demand for automated AI machine integrated systems for data gathering and labeling in the automation industry is known to propel market demand for IoT technologies. As the number of rental systems in the automation industry has increased, this has raised the market demand for data collection and labeling systems.

Competitive Landscape

Collaborations with manufacturers make it possible for businesses to increase production and meet consumer demand, which increases revenue and market share. As a result of new technologies and products, end-users will be able to benefit from products and funding in the industries. 

• In January 2022, AIMMO, a Korean startup built an AI data annotation platform, which enables enterprises to read and label image, video, sound, text, and sensor fusion data faster and more accurately. The company has raised $12 million in a Series A round to bolster its data labeling technology and expand globally. Its software eliminates the inefficiencies of the annotating process, freeing customers to focus on their AI models.
• In November 2021, Scale AI acquired SiaSearch, which would allow it to extend its reach in Europe and develop its newest product more quickly. The nucleus is designed to weave SiaSearch's technology into Nucleus so any AI developer can access data, even those outside the automotive and AV industries.

Key Segments Covered in Data Collection and Labeling Industry Report

• By Data Type

  • Text
  • Image/Video
  • Audio

• By Vertical

  • IT
  • Automotive
  • Government
  • Healthcare
  • BFSI
  • Retail & E-commerce
  • Others

• By Region

  • North America
  • Latin America
  • Europe
  • APAC
  • MEA