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Data Labeling Solution And Services Market Poised for 24.4 % Growth, Set to Hit $2.6 Billion by 2029

02-10-2025 05:39 AM CET | IT, New Media & Software

Press release from: The Business Research Company

Data Labeling Solution And Services Market Size

Data Labeling Solution And Services Market Size

How Is the Data Labeling Solution And Services Market Projected to Grow, and What Is Its Market Size?
The market size for data labeling solutions and services has seen a rapid expansion in the recent past. The growth is expected to continue, with the market projected to rise from $16.4 billion in 2024 to $20.45 billion in 2025, reflecting a compound annual growth rate (CAGR) of 24.7%. Factors that contributed to the growth in the historical period involve the advent of machine learning and AI, escalating demand for tagged data, the introduction of computer vision applications, the broadening of natural language processing (NLP) scope, and the advancement in autonomous vehicles and robotics.

The market for data labeling solution and services is predicted to experience substantial growth in the upcoming years, surging to $48.93 billion by 2029 with a 24.4% compound annual growth rate (CAGR). This projected growth for the forecast period is due to factors such as the proliferation of IoT devices, advances in edge computing, wider use of autonomous systems, increasing AI applications specific to industries, and greater emphasis on data privacy and security. Some key trends for this predicted timeframe include an increase in AI-automated integration, a rising mix of human-machine labeling approaches, development of specialized vertical solutions, the rise of data labeling-as-a-service (DLaaS), and a focus on ethical and bias-conscious labeling practices.

What Factors Are Propelling the Expansion of the Data Labeling Solution And Services Market?
The swift expansion of data volume is anticipated to fuel the growth of the data labeling solution and services market in the future. Data often includes raw details, figures, and statistics gathered for review or reference, frequently in a digital format. The swift expansion of data volume is mostly attributed to heightened digitalization and the spread of connected devices. Given the large-scale complexity of dealing with significant datasets, the rising volume of data calls for data labeling solutions and services to efficiently clean, transform, and organize data for review. For example, in December 2022, a report from the Linux Foundation, a not-for-profit consortium based in the US, indicated that an average end-user organization with a storage capacity of up to 20 petabytes underwent an annual data growth of 1,746 terabytes (TB) in 2022. Likewise, yearly data growth for organizations with a storage capacity of up to 25 petabytes saw a substantial increase to 2,208 TB in 2022, three times more than 2021's figure of 700 TB. In conclusion, the swift expansion of data volume is expected to propel the growth of the data labeling solution and services market.

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Who Are the Major Industry Players Fueling Data Labeling Solution And Services Market Expansion?
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.

Which Key Developments Are Influencing the Data Labeling Solution And Services Market?
Key players in the data labeling solution and services industry place emphasis on the development of platforms integrating large language models (LLMs) to automate data labeling. This strategy aims to improve precision, scalability, and effectiveness of data annotation procedures. Large language models (LLMs) represent advanced AI systems that can comprehend and generate text akin to human language across numerous languages and sectors. These systems are trained using a plethora of textual data through deep learning techniques. For example, in October 2023, Refuel AI Inc, a technology corporation based in the United States, introduced the Refuel Cloud platform to streamline data labeling processes. This platform utilises Large Language Models (LLMs) to automate several tasks at scale, including data cleaning, labeling, and enrichment across different sectors. It delivers neat and precisely labeled datasets for AI training efficiently. The unique approach of Refuel Cloud enables data teams to label datasets using natural language, minimising human errors and increasing productivity. Furthermore, Refuel Cloud prioritises data security by allowing operation within a client's private cloud or on-site network, thus ensuring data confidentiality and control.

How Is the Segmentation of the Data Labeling Solution And Services Market Defined?
The data labeling solution and services market covered in this report is segmented -

1) By Type: Text, Image Or Video, Audio
2) 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

Subsegments:
1) By Text: Sentiment Analysis, Named Entity Recognition (Ner), Text Classification, Text Translation And Transcription, Document Labeling, Part-Of-Speech Tagging, Text Entity Linking
2) By Image Or Video: Object Detection And Localization, Image Classification, Semantic Segmentation, Bounding Box Labeling, Face And Emotion Recognition, Video Annotation For Object Tracking, Scene Classification, Activity And Gesture Recognition
3) By Audio: Speech-To-Text Transcription, Audio Classification, Speaker Identification And Recognition, Sentiment And Emotion Detection, Sound Event Detection, Keyword Spotting, Acoustic Scene Classification

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What Is the Leading Region in the Data Labeling Solution And Services Market?
North America was the largest region in the data labeling solution and services market in 2024. 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.

What Is Covered In The Data Labeling Solution And Services Global Market Report?

- Market Size Analysis: Analyze the Data Labeling Solution And Services Market size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the Data Labeling Solution And Services Market for effective categorization.
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
- Growth Trends Analysis: Examine individual growth trends and prospects in the Market.
- Market Contribution: Evaluate contributions of different segments to the overall Data Labeling Solution And Services Market growth.
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
- Industry Challenges: Analyze challenges and risks affecting the Data Labeling Solution And Services Market.
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.

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