Global Data Annotation Tools Market

Global Data Annotation Tools Market Size, Share, Growth Analysis, By Type(Text Annotation Tools, Image Annotation Tools), By Application(Autonomous Vehicles, Natural Language Processing) - Industry Forecast 2024-2031


Report ID: SQMIG45C2064 | Region: Global | Published Date: February, 2024
Pages: 157 | Tables: 69 | Figures: 75

Global Data Annotation Tools Market Insights

Data Annotation Tools Market size was valued at USD 1.42 billion in 2021 and is poised to grow from USD 1.8 billion in 2022 to USD 11.78 billion by 2030, growing at a CAGR of 26.5% in the forecast period (2023-2030).

Factors propelling the growth of the data annotation tools market is the surge in AI and ML applications across different sectors. From autonomous vehicles to medical image analysis, from natural language processing to facial recognition systems, AI-driven technologies are permeating diverse industries. To train these AI models effectively, large volumes of accurately annotated data are required, driving the demand for sophisticated and efficient data annotation tools. Furthermore, the growing adoption of AI and ML technologies by enterprises to gain insights, automate processes, and enhance decision-making has fueled the need for data annotation tools. Businesses are increasingly recognizing the importance of leveraging labelled data to optimise operations and provide personalised services to their customers, further boosting the market's expansion. In addition to business applications, the data annotation tools market is also benefiting from the advancements in healthcare and life sciences. AI-powered solutions are revolutionising medical research, diagnosis, and treatment, demanding extensive annotated medical data for training and validation.

US Data Annotation Tools Market is poised to grow at a sustainable CAGR for the next forecast year.

Market snapshot - 2024-2031

Global Market Size

USD 1.42 billion

Largest Segment

Image Annotation Tools

Growth Rate

26.5% CAGR

Global Data Annotation Tools Market ($ Bn)
Country Share for North America Region (%)
Global Data Annotation Tools By Type ($ Bn)

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Global Data Annotation Tools Market Segmental Analysis

The global data annotation tools market is segmented by type, application, and region. Based on type, the market can be segmented into Text Annotation Tools, Image Annotation Tools, Audio Annotation Tools, Video Annotation Tools, 3D Annotation Tools. Based on application, the market is segmented into Autonomous Vehicles, Natural Language Processing, Computer Vision, Healthcare and Medical Imaging, Agriculture, Retail and E-commerce and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.

Data Annotation Tools Market Analysis by Type

The dominant type was Image Annotation Tools. These tools were widely used in various industries, including computer vision, autonomous vehicles, healthcare, and agriculture, among others. The high demand for image annotation tools was driven by the increasing need to label and annotate vast amounts of image data to train machine learning models and improve accuracy in visual recognition tasks.

On the other hand, the Fastest Growing type of data annotation tool in the global market was Video Annotation Tools. Video data has become increasingly important for training AI and machine learning models, especially in applications such as surveillance, autonomous driving, and video analytics. Video annotation tools enable the precise labelling of objects, actions, and events within video frames, which is essential for developing sophisticated video-based AI solutions.

Data Annotation Tools Market Analysis by Application

Among the various applications of artificial lift systems in the global market, the most dominant application is healthcare and medical imaging. Artificial Lift Systems have found extensive use in the healthcare industry, particularly in medical imaging devices, to enhance diagnostic accuracy and improve patient care. The ability of these systems to lift and move patients safely and efficiently has significantly contributed to their widespread adoption in hospitals and medical facilities.

On the other hand, the fastest growing application of artificial lift systems is in autonomous vehicles. As the automotive industry progresses towards autonomous driving technologies, the demand for Artificial Lift Systems for vehicles, such as self-driving cars and trucks, has been rapidly increasing. These lift systems play a crucial role in enhancing the reliability and safety of autonomous vehicles, which has led to their impressive growth in the market.

Global Data Annotation Tools Market By Type, 2023 (%)

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Global Data Annotation Tools Market Regional Insights

The global data annotation tools market has witnessed substantial growth, and its adoption has spread across various regions worldwide. Among these regions, North America emerges as the most dominant in the market. The region's dominance can be attributed to several factors, including the presence of major technology companies, a robust ecosystem of AI and machine learning research and development, and significant investments in cutting-edge technologies. Moreover, North America has been an early adopter of data annotation tools in various industries, such as healthcare, automotive, finance, and e-commerce, further consolidating its position as the dominant market region.

On the other hand, the fastest growing region of the global data annotation tools market is Asia-Pacific. The region has been witnessing a surge in the adoption of data annotation tools due to the rapid digital transformation and the increasing focus on AI-driven technologies across diverse industries. Countries like China, India, Japan, and South Korea have been at the forefront of AI innovation, and as a result, there is a growing demand for high-quality labelled data to train AI and machine learning algorithms. Additionally, the expanding e-commerce sector, advancements in autonomous vehicles, and increasing investments in AI research and development have been instrumental in propelling the growth of the data annotation tools market in the Asia-Pacific region.

Global Data Annotation Tools By Geography, 2024-2031
  • Largest
  • Fastest

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Global Data Annotation Tools Market Dynamics

Data Annotation Tools Market Drivers

Proliferation of AI Applications

  • AI-driven applications, such as natural language processing, computer vision, and autonomous vehicles, are becoming more prevalent. These applications heavily rely on annotated data for accurate and precise outcomes. As the scope and complexity of AI applications expand, the demand for advanced data annotation tools is expected to grow.

Data Annotation Tools Market Restraints

Quality Assurance and Validation

  • The accuracy and reliability of annotations are critical for AI model performance. Ensuring the quality of annotations and validating the results can be challenging, as it requires human expertise and oversight. Inaccurate annotations can lead to biased or flawed AI models, affecting the market's growth

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Global Data Annotation Tools Market Competitive Landscape

The global data annotation tools market has witnessed substantial growth in recent years, driven by the increasing demand for high-quality annotated data in various industries. Data annotation tools play a crucial role in preparing training datasets for machine learning and artificial intelligence applications. These tools assist in labelling and annotating raw data, making it usable for training AI algorithms. As the adoption of AI and ML technologies continues to expand across industries like healthcare, automotive, e-commerce, and finance, the need for accurate and diverse annotated data has become paramount.

Data Annotation Tools Market Top Player’s Company Profiles

  • Annotate.com (US)
  • Appen (Australia)
  • Scale AI (US)
  • Playment (India)
  • LightTag (US)
  • Dataturks (US)
  • Supervisely (US)
  • Alegion (US)
  • Hive (US)
  • Amazon SageMaker Ground Truth (US)
  • LabelImg (US)
  • V7 Labs (India)
  • Samasource (US)
  • Explorium (Israel)
  • Diffgram (US)
  • Anno-Mage (Germany)
  • Tagtog (Switzerland)

Data Annotation Tools Market Recent Developments

  • In May 2023, Google Cloud announced that it would be acquiring Scale AI, a leading provider of data annotation tools. The acquisition will help Google Cloud to expand its offering of data annotation tools and services.
  • In April 2023, Amazon Web Services announced that it would be launching a new data annotation service, Amazon SageMaker Ground Truth. The service will help AWS customers to automate the labelling of data for machine learning models.
  • In March 2023, Microsoft Azure announced that it would be adding new features to its data annotation service, Azure Machine Learning Studio. The new features will make it easier for Azure customers to label data for machine learning models.
  • In February 2023, Hive AI announced that it had raised $10 million in Series A funding. The funding will help Hive AI to expand its product offering and customer base.
  • In January 2023, AYLIEN announced that it had raised $12 million in Series B funding. The funding will help AYLIEN to expand its product offering and customer base.

Global Data Annotation Tools Key Market Trends

  • Demand for AI-powered and Automated Annotation Solutions: As the volume and complexity of data continue to grow across various industries, the need for accurate and efficiently labelled data sets becomes paramount for training machine learning algorithms and AI models. AI-powered data annotation tools leverage advanced algorithms, computer vision, and natural language processing techniques to automate the data labelling process, reducing the time and effort required for manual annotation. This trend is driven by the quest for faster and more cost-effective data annotation solutions, as organisations seek to improve the efficiency and accuracy of their AI-driven applications and services.

Global Data Annotation Tools Market SkyQuest Analysis

SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.

According to the global data annotation tools market analysis, the increasing demand for advanced data annotation solutions in various industries, including artificial intelligence, machine learning, and computer vision, is a key driver for market growth. Data annotation tools play a crucial role in labelling and annotating large datasets, enabling the training of machine learning algorithms and enhancing their accuracy and performance. Advanced data annotation technologies, such as automated annotation tools, semantic segmentation, and 3D annotation, offer advantages such as faster data processing, improved data quality, and reduced human error. The growing focus on data quality and accuracy in industries like healthcare, automotive, and retail is another significant factor driving the market.

Data annotation tools enable precise labelling and annotation of complex datasets, ensuring reliable and valuable insights for decision-making and research purposes. They play a vital role in separating and analysing diverse data types, such as medical images, autonomous vehicle data, and customer behaviour data, facilitating data-driven decision-making and innovation. Advancements in data annotation technologies, such as natural language processing and image recognition, have expanded the applications of data annotation tools. These tools offer increased efficiency and accuracy in data labelling, making them essential for industries embracing data-driven solutions. In terms of regional analysis, North America holds a prominent market share in the data annotation tools market due to the presence of major tech companies and a strong focus on AI and machine learning. Europe is also a significant region, driven by the adoption of AI and automation in various industries. Additionally, the Asia Pacific region is witnessing rapid growth in the data annotation tools market, fueled by the increasing adoption of AI and machine learning technologies across diverse sectors.

Report Metric Details
Market size value in 2023 USD 1.42 billion
Market size value in 2031 USD 11.78 billion
Growth Rate 26.5%
Forecast period 2024-2031
Forecast Unit (Value) USD Billion
Segments covered
  • Type
    • Text Annotation Tools, Image Annotation Tools, Audio Annotation Tools, Video Annotation Tools, and 3D Annotation Tools
  • Application
    • Autonomous Vehicles, Natural Language Processing, Computer Vision, Healthcare and Medical Imaging, Agriculture, Retail and E-commerce, and Others
Regions covered North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA)
Companies covered
  • Annotate.com (US)
  • Appen (Australia)
  • Scale AI (US)
  • Playment (India)
  • LightTag (US)
  • Dataturks (US)
  • Supervisely (US)
  • Alegion (US)
  • Hive (US)
  • Amazon SageMaker Ground Truth (US)
  • LabelImg (US)
  • V7 Labs (India)
  • Samasource (US)
  • Explorium (Israel)
  • Diffgram (US)
  • Anno-Mage (Germany)
  • Tagtog (Switzerland)
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Table Of Content

Executive Summary

Market overview

  • Exhibit: Executive Summary – Chart on Market Overview
  • Exhibit: Executive Summary – Data Table on Market Overview
  • Exhibit: Executive Summary – Chart on Global Data Annotation Tools Market Characteristics
  • Exhibit: Executive Summary – Chart on Market by Geography
  • Exhibit: Executive Summary – Chart on Market Segmentation
  • Exhibit: Executive Summary – Chart on Incremental Growth
  • Exhibit: Executive Summary – Data Table on Incremental Growth
  • Exhibit: Executive Summary – Chart on Vendor Market Positioning

Parent Market Analysis

Market overview

Market size

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • SWOT Analysis

KEY MARKET INSIGHTS

  • Technology Analysis
    • (Exhibit: Data Table: Name of technology and details)
  • Pricing Analysis
    • (Exhibit: Data Table: Name of technology and pricing details)
  • Supply Chain Analysis
    • (Exhibit: Detailed Supply Chain Presentation)
  • Value Chain Analysis
    • (Exhibit: Detailed Value Chain Presentation)
  • Ecosystem Of the Market
    • Exhibit: Parent Market Ecosystem Market Analysis
    • Exhibit: Market Characteristics of Parent Market
  • IP Analysis
    • (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
  • Trade Analysis
    • (Exhibit: Data Table: Import and Export data details)
  • Startup Analysis
    • (Exhibit: Data Table: Emerging startups details)
  • Raw Material Analysis
    • (Exhibit: Data Table: Mapping of key raw materials)
  • Innovation Matrix
    • (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
  • Pipeline product Analysis
    • (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
  • Macroeconomic Indicators

COVID IMPACT

  • Introduction
  • Impact On Economy—scenario Assessment
    • Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
  • Revised Market Size
    • Exhibit: Data Table on Global Data Annotation Tools Market size and forecast 2021-2027 ($ million)
  • Impact Of COVID On Key Segments
    • Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
  • COVID Strategies By Company
    • Exhibit: Analysis on key strategies adopted by companies

MARKET DYNAMICS & OUTLOOK

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • Regulatory Landscape
    • Exhibit: Data Table on regulation from different region
  • SWOT Analysis
  • Porters Analysis
    • Competitive rivalry
      • Exhibit: Competitive rivalry Impact of key factors, 2021
    • Threat of substitute products
      • Exhibit: Threat of Substitute Products Impact of key factors, 2021
    • Bargaining power of buyers
      • Exhibit: buyers bargaining power Impact of key factors, 2021
    • Threat of new entrants
      • Exhibit: Threat of new entrants Impact of key factors, 2021
    • Bargaining power of suppliers
      • Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
  • Skyquest special insights on future disruptions
    • Political Impact
    • Economic impact
    • Social Impact
    • Technical Impact
    • Environmental Impact
    • Legal Impact

Market Size by Region

  • Chart on Market share by geography 2021-2027 (%)
  • Data Table on Market share by geography 2021-2027(%)
  • North America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • USA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Canada
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Europe
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Germany
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Spain
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • France
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • UK
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Europe
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Asia Pacific
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • China
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • India
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Japan
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Korea
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Asia Pacific
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Latin America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Brazil
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of South America
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Middle East & Africa (MEA)
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • GCC Countries
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Africa
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of MEA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)

KEY COMPANY PROFILES

  • Competitive Landscape
    • Total number of companies covered
      • Exhibit: companies covered in the report, 2021
    • Top companies market positioning
      • Exhibit: company positioning matrix, 2021
    • Top companies market Share
      • Exhibit: Pie chart analysis on company market share, 2021(%)

Methodology

For the Global Data Annotation Tools Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:

1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.

2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Global Data Annotation Tools Market.

3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.

4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.

Analyst Support

Customization Options

With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Global Data Annotation Tools Market:

Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.

Regional Analysis: Further analysis of the Global Data Annotation Tools Market for additional countries.

Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.

Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.

Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.

Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.

Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.

Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.

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FAQs

Data Annotation Tools Market size was valued at USD 1.42 billion in 2021 and is poised to grow from USD 1.8 billion in 2022 to USD 11.78 billion by 2030, growing at a CAGR of 26.5% in the forecast period (2023-2030).

The global data annotation tools market has witnessed substantial growth in recent years, driven by the increasing demand for high-quality annotated data in various industries. Data annotation tools play a crucial role in preparing training datasets for machine learning and artificial intelligence applications. These tools assist in labelling and annotating raw data, making it usable for training AI algorithms. As the adoption of AI and ML technologies continues to expand across industries like healthcare, automotive, e-commerce, and finance, the need for accurate and diverse annotated data has become paramount. 'Labelbox (US)', 'SuperAnnotate (US)', 'Dataloop (Israel)', 'Annotate.com (US)', 'Appen (Australia)', 'Scale AI (US)', 'Playment (India)', 'LightTag (US)', 'Dataturks (US)', 'Supervisely (US)', 'Alegion (US)', 'Hive (US)', 'Amazon SageMaker Ground Truth (US)', 'LabelImg (US)', 'V7 Labs (India)', 'Samasource (US)', 'Explorium (Israel)', 'Diffgram (US)', 'Anno-Mage (Germany)', 'Tagtog (Switzerland)'

AI-driven applications, such as natural language processing, computer vision, and autonomous vehicles, are becoming more prevalent. These applications heavily rely on annotated data for accurate and precise outcomes. As the scope and complexity of AI applications expand, the demand for advanced data annotation tools is expected to grow.

Demand for AI-powered and Automated Annotation Solutions: As the volume and complexity of data continue to grow across various industries, the need for accurate and efficiently labelled data sets becomes paramount for training machine learning algorithms and AI models. AI-powered data annotation tools leverage advanced algorithms, computer vision, and natural language processing techniques to automate the data labelling process, reducing the time and effort required for manual annotation. This trend is driven by the quest for faster and more cost-effective data annotation solutions, as organisations seek to improve the efficiency and accuracy of their AI-driven applications and services.

The global data annotation tools market has witnessed substantial growth, and its adoption has spread across various regions worldwide. Among these regions, North America emerges as the most dominant in the market. The region's dominance can be attributed to several factors, including the presence of major technology companies, a robust ecosystem of AI and machine learning research and development, and significant investments in cutting-edge technologies. Moreover, North America has been an early adopter of data annotation tools in various industries, such as healthcare, automotive, finance, and e-commerce, further consolidating its position as the dominant market region.

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