The data labeling solution and services market size is expected to see exponential growth in the next few years. It will grow to $39.35 billion in 2028 at a compound annual growth rate (CAGR) of 24.5%. The anticipated growth in the forecast period can be attributed to the widespread adoption of IoT devices, advancements in edge computing, increasing integration of autonomous systems, the rise of industry-specific AI applications, and heightened attention towards data privacy and security. Key trends expected in the forecast period include the incorporation of AI-driven automation, the surge in hybrid human-machine labeling approaches, the emergence of specialized vertical solutions, the expansion of data labeling-as-a-service (DLaaS), and a greater emphasis on ethical and bias-aware labeling practices.
The anticipated surge in data volume is set to propel the expansion of the data labeling solution and services market in the future. Data, encompassing raw facts and statistics often in digital form, is experiencing rapid growth due to increased digitalization and the proliferation of interconnected devices. Managing such vast datasets requires efficient data labeling solutions and services to clean, transform, and organize data for analysis effectively. For instance, in December 2022, according to a report published by the Linux Foundation, a US-based non-profit consortium, an average end-user organization with a storage capacity of up to 20 petabytes experienced annual data growth of 566 terabytes (TB) in 2021 and 1,746 terabyte (TB) in 2022. Similarly, annual data growth for organizations with a storage capacity of up to 25 petabytes reached a significant 2,208 TB in 2022, three times more than in 2021 (700 TB). Therefore, the rapidly growing volume of data will drive the growth of the data labeling solution and services market.
Key players in the data labeling solution and services market are prioritizing the development of platforms featuring Large Language Models (LLMs) to automate data labeling, thereby enhancing efficiency, accuracy, and scalability in data annotation processes. LLMs are advanced AI systems capable of understanding and generating human-like text across different languages and domains. For instance, in October 2023, Refuel AI Inc., a US-based technology company, launched the Refuel Cloud platform to automate data labeling. This platform leverages Large Language Models (LLMs) to automate data cleaning, labeling, and enrichment at scale for various industries, providing clean and accurately labeled datasets for AI training in minutes. Refuel Cloud's innovative approach allows data teams to specify dataset labels in natural language, enhancing efficiency and reducing human error. Additionally, Refuel Cloud offers enhanced data security by enabling deployment within a customer's own cloud or on-premises environment, ensuring data privacy and control.
In July 2021, Telus International, a Canada-based technology company, acquired Playment, an India-based provider of data labeling and annotation services. This strategic acquisition enhances Telus International's capability to meet the growing demand for diverse datasets and solidifies its position as a global leader in the data annotation market.
Major companies operating in the data labeling solution and services market are Google LLC, Amazon Web Services Inc., International Business Machines Corporation, Oracle Corporation, Uber Technologies Inc., Adobe Inc., Telus International, CloudFactory Limited, iMerit Technology Services Private Limited, Databricks Inc., Scale AI Inc., Appen Limited, The Hive AI Inc., BigID Inc., Encord LLC, Labelbox Inc., SuperAnnotate Inc., Adept Technologies Limited, Kili Technology Inc., Label Your Data LLC, Alegion Inc., SuperbAI Inc., Pure Moderation LLC, Data Labeler LLC, AI Data Innovations Inc., Amazon Mechanical Turk Inc., Cogito Tech LLC, Labellerr Inc., KeyMakr Inc.
North America was the largest region in the data labeling solution and services market in 2023. The regions covered in the data labeling solution and services market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the data labeling solution and services market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Data labeling solutions and services involve the processes and tools utilized to annotate or label raw data, rendering it suitable for machine learning algorithms. These services offer scalable, accurate, and efficient labeling procedures, employing either human annotators or automated algorithms. Their primary objective is to ensure the production of high-quality labeled data, which is indispensable for enhancing the performance of AI models across diverse industries.
The primary categories of data labeling solutions and services include text, image or video, and audio. Text data labeling involves adding annotations or labels to textual data, such as articles, documents, or social media posts, to enhance its comprehension for machine learning algorithms. Labeling methods encompass manual, semi-supervised, and automatic approaches, while sourcing options include in-house and outsourced solutions. These services find applications across various sectors including information technology, automotive, government, healthcare, financial services, retail, and others.
The data labeling solution and services market research report is one of a series of new reports that provides data labeling solution and services market statistics, including data labeling solution and services industry global market size, regional shares, competitors with a data labeling solution and services market share, detailed data labeling solution and services market segments, market trends and opportunities, and any further data you may need to thrive in the data labeling solution and services industry. This data labeling solution and services market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The data labeling solution and services market consists of revenues earned by entities by providing services such as text annotation services, audio annotation services, video annotation services, sensor data annotation, and quality assurance and data validation processes. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Data Labeling Solution and Services Global Market Report 2024 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on data labeling solution and services market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for data labeling solution and services ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The data labeling solution and services market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
- The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.
- The impact of higher inflation in many countries and the resulting spike in interest rates.
- The continued but declining impact of COVID-19 on supply chains and consumption patterns.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) by Type: Text; Image Or Video; Audio2) by Labeling Type: Manual; Semi-Supervised; Automatic
3) by Sourcing Type: in-House; Outsourced
4) by Vertical: Information Technology; Automotive; Government; Healthcare; Financial Services; Retails; Other Verticals
Key Companies Mentioned: Google LLC; Amazon Web Services Inc.; International Business Machines Corporation; Oracle Corporation; Uber Technologies Inc.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Google LLC
- Amazon Web Services Inc.
- International Business Machines Corporation
- Oracle Corporation
- Uber Technologies Inc.
- Adobe Inc.
- Telus International
- CloudFactory Limited
- iMerit Technology Services Private Limited
- Databricks Inc.
- Scale AI Inc.
- Appen Limited
- The Hive AI Inc.
- BigID Inc.
- Encord LLC
- Labelbox Inc.
- SuperAnnotate Inc.
- Adept Technologies Limited
- Kili Technology Inc.
- Label Your Data LLC
- Alegion Inc.
- SuperbAI Inc.
- Pure Moderation LLC
- Data Labeler LLC
- AI Data Innovations Inc.
- Amazon Mechanical Turk Inc.
- Cogito Tech LLC
- Labellerr Inc.
- KeyMakr Inc.
Methodology
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Table Information
Report Attribute | Details |
---|---|
No. of Pages | 175 |
Published | June 2024 |
Forecast Period | 2024 - 2028 |
Estimated Market Value ( USD | $ 16.4 Billion |
Forecasted Market Value ( USD | $ 39.35 Billion |
Compound Annual Growth Rate | 24.5% |
Regions Covered | Global |