Data Annotation Tools Market Size, Share, Trends, Growth, Production, Consumption, Revenue, Company Analysis and Forecast 2021-2028

The global Data Annotation Tools market size is expected to be worth around US$ 2.58 billion by 2028, according to a new report by Vision Research Reports.

The global Data Annotation Tools market size was valued at US$ 390.2 million in 2020 and is anticipated to grow at a CAGR of 26.10% during forecast period 2021 to 2028.

Growth Factors

The advent of big data is expected to drive the artificial intelligence market as a large volume of information is required to be recorded, stored, and analyzed.

Adoption of artificial intelligence is expected to significantly boost the demand for data annotation tools as the annotated data acts as a catalyzer to train AI models and machine learning tools and systems in critical areas, such as speech recognition and image recognition. These tools offer AI its strength by directly providing information that is relevant to determining future outcomes and decision-making.

Growing trend of manufacturing autonomous vehicles in the automotive industry is attracting larger investments in the development of these vehicles. An autonomous vehicle is a combination of various sensors and networking systems that assist the computer in driving the vehicle. The annotated data allows autonomous vehicle’s computer models to recognize and learn from it. Several technology providers such as Google Inc.; Tesla Motors; Apple Inc.; and Huawei Technologies Co., Ltd. have also entered the autonomous vehicle market. Rising investments in the self-driving cars market are expected to drive the demand for data annotation tools.

Rising innovations in the retail segment, specifically in improving the e-commerce sector, using the data annotation tools is expected to drive the data annotation tools market over the forecast period. For instance, in 2019, Walmart Labs acquired Dataturks, an India-based start-up that offers tools for image and text by using machine learning. The acquisition helped Walmart to further drive innovations in the catalogue quality and other aspects of Walmart merchandising platform.

Report Highlights

Based on type, the global data annotation tools market is segmented into text, image/video, and audio. In 2019, the text annotation tool segment accounted for the largest market share and is expected to expand at a promising pace over the forecast period. This is attributed to rising applications in e-commerce and clinical research. The audio segment is expected to witness moderate growth in the years to come.

The image/video annotation tool segment is expected to dominate the market over the forecast period. Some of the major applications of image annotation tools are in the medical industry, particularly in the field of medical imaging. For example, in 2017, the total investment in startups developing machine learning solutions and tools using medical images was more than USD 200 million. 

the manual segment accounted for the largest market share. Manual data annotation is a process of labeling or annotating any data by humans. The approach is popular owing to its benefits such as accuracy, high level of integrity, need for minimal administration of data annotation efforts, and a higher chance of discovering intriguing insights pertaining to the data as compared to automatic annotation tools, which can be later integrated into an algorithm. However, as manual annotation tools can be expensive and time -consuming, labeled data gathered through crowdsourcing activities is used for a variety of applications.

The automatic segment is expected to witness promising growth over the forecast period. AI is becoming vital to the data annotation tools industry as the technology allows the extraction of high-level and complex abstractions from the datasets using a hierarchical learning process. Need for mining and extracting meaningful patterns from voluminous data is fueling the growth of AI, which is expected to further drive the demand for automatic annotation tools. The semi-supervised tools can be used to identify specific labeled data or classify the unlabeled data. Limited use of this annotation tool type will contribute to the moderate growth of the segment.

The healthcare segment is expected to witness significant growth over the forecast period. AI is widely adopted in the healthcare sector for various applications such as treatment prediction, diagnostic automation, drug development, and gene sequencing. The datasets in healthcare are required to be trained with machine learning algorithms. 

The automotive segment is anticipated to witness steady growth over the forecast period as data annotation tools are gaining wide acceptance in self-driving vehicles. Increasing R&D spending on the improvement of image annotation for the developments in the field of self-driving vehicles is boosting the growth of the market. For instance, in 2018, the BMW Group invested the largest share of its revenue in the research and development activities. The company is mainly focusing on the development of autonomous and electric vehicles.

North America accounted for the dominant share in the market in 2019. This is due to rapid product and geographic expansion strategy undertaken by vendors in order to gain an edge in the market. Europe is expected to witness steady growth over the forecast period. Rising focus on image annotation is anticipated to enhance the operations of retail and automotive verticals in Europe.

Asia Pacific is anticipated to register the highest CAGR over the forecast period. Emerging economies in Asia Pacific hold significant potential for the widespread adoption of data annotation tools, particularly in the healthcare and financial services verticals. The positive growth of the healthcare industry in Asia Pacific is marked by increasing adoption of technology and innovative healthcare access programs. These factors are anticipated to boost the demand for image annotation tools in this region in the near future. 

Key Players; Appen Limited; CloudApp; Cogito Tech LLC; Deep Systems; Labelbox, Inc.; LightTag; Lotus Quality Assurance; Playment Inc.; Tagtog Sp. z o.o; CloudFactory Limited; Clickworker GmbH; Alegion; Figure Eight Inc.; Amazon Mechanical Turk, Inc.; Explosion AI; Mighty AI, Inc.; Trilldata Technologies Pvt. Ltd. (Data Turks); Scale Inc.; and Google, LLC.

Market Segmentation

  • Type Outlook

    • Text

    • Image/Video

    • Audio

  • Annotation Type Outlook 

    • Manual

    • Semi-supervised

    • Automatic

  • Vertical Outlook 

    • IT

    • Automotive

    • Government

    • Healthcare

    • Financial Services

    • Retail

    • Others

  • Regional Outlook 

    • North America

      • The U.S.

      • Canada

      • Mexico

    • Europe

      • Germany

      • The U.K.

      • France

    • Asia Pacific

      • China

      • Japan

      • India

    • South America

      • Brazil

    • Middle East and Africa

The Data Annotation Tools market research report covers definition, classification, product classification, product application, development trend, product technology, competitive landscape, industrial chain structure, industry overview, national policy and planning analysis of the industry, the latest dynamic analysis, etc., and also includes major. The study includes drivers and restraints of the global market. It covers the impact of these drivers and restraints on the demand during the forecast period. The report also highlights opportunities in the market at the global level.

The report provides size (in terms of volume and value) of Data Annotation Tools market for the base year 2020 and the forecast between 2021 and 2028. Market numbers have been estimated based on form and application. Market size and forecast for each application segment have been provided for the global and regional market.

This report focuses on the global Data Annotation Tools market status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Data Annotation Tools market development in United States, Europe and China.

It is pertinent to consider that in a volatile global economy, we haven’t just conducted Data Annotation Tools market forecasts in terms of CAGR, but also studied the market based on key parameters, including Year-on-Year (Y-o-Y) growth, to comprehend the certainty of the market and to find and present the lucrative opportunities in market.

In terms of production side, this report researches the Data Annotation Tools capacity, production, value, ex-factory price, growth rate, market share for major manufacturers, regions (or countries) and type.

In terms of consumption side, this report focuses on the consumption of Data Annotation Tools by regions (countries) and application.

Buyers of the report will have access to verified market figures, including global market size in terms of revenue and volume. As part of production analysis, the authors of the report have provided reliable estimations and calculations for global revenue and volume by Type segment of the global Data Annotation Tools market. These figures have been provided in terms of both revenue and volume for the period 2017 to 2028. Additionally, the report provides accurate figures for production by region in terms of revenue as well as volume for the same period. The report also includes production capacity statistics for the same period.

With regard to production bases and technologies, the research in this report covers the production time, base distribution, technical parameters, research and development trends, technology sources, and sources of raw materials of major Data Annotation Tools market companies.

Regarding the analysis of the industry chain, the research of this report covers the raw materials and equipment of Data Annotation Tools market upstream, downstream customers, marketing channels, industry development trends and investment strategy recommendations. The more specific analysis also includes the main application areas of market and consumption, major regions and Consumption, major Chinese producers, distributors, raw material suppliers, equipment providers and their contact information, industry chain relationship analysis.

The research in this report also includes product parameters, production process, cost structure, and data information classified by region, technology and application. Finally, the paper model new project SWOT analysis and investment feasibility study of the case model.

Overall, this is an in-depth research report specifically for the Data Annotation Tools industry. The research center uses an objective and fair way to conduct an in-depth analysis of the development trend of the industry, providing support and evidence for customer competition analysis, development planning, and investment decision-making. In the course of operation, the project has received support and assistance from technicians and marketing personnel in various links of the industry chain.

The Data Annotation Tools market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to Data Annotation Tools market.

Prominent players in the market are predicted to face tough competition from the new entrants. However, some of the key players are targeting to acquire the startup companies in order to maintain their dominance in the global market. For a detailed analysis of key companies, their strengths, weaknesses, threats, and opportunities are measured in the report by using industry-standard tools such as the SWOT analysis. Regional coverage of key companies is covered in the report to measure their dominance. Key manufacturers of Data Annotation Tools market are focusing on introducing new products to meet the needs of the patrons. The feasibility of new products is also measured by using industry-standard tools.

Key companies are increasing their investments in research and development activities for the discovery of new products. There has also been a rise in the government funding for the introduction of new Data Annotation Tools market. These factors have benefited the growth of the global market for Data Annotation Tools. Going forward, key companies are predicted to benefit from the new product launches and the adoption of technological advancements. Technical advancements have benefited many industries and the global industry is not an exception.

New product launches and the expansion of already existing business are predicted to benefit the key players in maintaining their dominance in the global market for Data Annotation Tools. The global market is segmented on the basis of region, application, en-users and product type. Based on region, the market is divided into North America, Europe, Asia-Pacific, Latin America and Middle East and Africa (MEA).

In this study, the years considered to estimate the market size of Data Annotation Tools are as follows:

  • Historic Year: 2017-2020
  • Base Year: 2020
  • Forecast Year 2021 to 2028

Reasons to Purchase this Report:

- Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
- Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
- Market value USD Million and volume Units Million data for each segment and sub-segment
- Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
- Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players

Research Methodology:

In-depth interviews and discussions were conducted with several key market participants and opinion leaders to compile the research report.

This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.

Market Size Estimation

Top-down and bottom-up approaches are used to estimate and validate the global market size for company, regional division, product type and application (end users).

The market estimations in this report are based on the selling price (excluding any discounts provided by the manufacturer, distributor, wholesaler or traders). Market share analysis, assigned to each of the segments and regions are achieved through product utilization rate and average selling price.

Major manufacturers & their revenues, percentage splits, market shares, growth rates and breakdowns of the product markets are determined through secondary sources and verified through the primary sources.

All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or others factors are accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from Vision Research Reports and presented in this report.

Market Breakdown and Data Triangulation

After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation. Extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub-segments listed in this report.

Secondary Sources

Secondary Sources occupies approximately 25% of data sources, such as press releases, annual reports, Non-Profit organizations, industry associations, governmental agencies and customs data, and so on. This research study includes secondary sources; directories; databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), TRADING ECONOMICS, and avention; Investing News Network; statista; Federal Reserve Economic Data; annual reports; investor presentations; and SEC filings of companies.

Primary Sources

 In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product manufacturers (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers, etc.

The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end users (product buyers), and related key executives from various key companies and organizations operating in the global market.

The study objectives of this report are:

  • To analyze and study the global market capacity, production, value, consumption, status (2017-2020) and forecast (2021-2028);
  • Focuses on the key manufacturers, to study the capacity, production, value, market share and development plans in future.
  • Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
  • To define, describe and forecast the market by type, application and region.
  • To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints and risks.
  • To identify significant trends and factors driving or inhibiting the market growth.
  • To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
  • To strategically analyze each submarket with respect to individual growth trend and their contribution to the market
  • To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market
  • To strategically profile the key players and comprehensively analyze their growth strategies.

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