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Data Labeling Solution And Services Market Size Growth Forecast: What to Expect by 2025?
The market size for data labeling solutions and services has witnessed a significant increase in recent years. A projected growth from $16.4 billion in 2024 to $20.45 billion in 2025 is expected with a compound annual growth rate (CAGR) of 24.7%. This noticeable growth in the past can be credited to the surge in machine learning and AI, the amplified demand for labeled data, the advent of computer vision applications, the broadening of natural language processing (NLP), as well as the development of autonomous vehicles and robotics.
How Will the Data Labeling Solution And Services Market Size Evolve and Grow by 2029?
In the coming years, the market size for data labeling solutions and services is anticipated to witness a significant surge, reaching a valuation of $48.93 billion in 2029 with a compound annual growth rate (CAGR) of 24.4%. The surge over the forecast period can be linked to the rapid growth of IoT devices, the advancement in edge computing, the increasing usage of autonomous systems, the emergence of AI applications specifically for industries, and an augmented emphasis on data privacy and safety. Some of the dominant trends in the forecast period consist of the incorporation of AI-driven automation, the rising trend of hybrid human-machine labeling methods, the appearance of vertical solutions specializing in it, the growth of data labeling-as-a-service (DLaaS), and the stress placed on ethical and bias-aware labeling.
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What Drivers Are Propelling the Growth of Data Labeling Solution And Services Market Forward?
The mounting surge in data volume is anticipated to drive the expansion of the data labeling solution and services market. Data, which pertains to raw facts, digits, and statistics assembled for evaluation or referencing, generally in a digital format, is expanding due to heightened digitalization and the spread of interconnected devices. With the complexity and size of managing broad datasets, the rising volume of data requires data labeling solutions and services to effectively tidy, modify, and systematize data for scrutiny. As an illustration, in December 2022, a report released by the Linux Foundation, an American non-profit consortium, announced an average end-user organization boasting a storage capacity of 20 petabytes experienced an annual data growth of 1,746 terabytes (TB) in 2022. Likewise, annual data growth for agencies with storage capacity up to 25 petabytes hit a remarkable 2,208 TB in 2022, tripling from 2021’s 700 TB. Hence, the swift expansion in data volume will propel the data labeling solution and services market growth.
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Which Emerging Trends Are Transforming the Data Labeling Solution And Services Market in 2025?
Prominent firms in the data tagging solutions and services market are leaning towards the development of systems that employ large language models (LLMs) to automate the process of data labeling. This aids in improving the effectiveness, precision, and scalability of data annotation procedures. Large language models function as highly sophisticated AI systems trained on enormous volumes of textual data, and are capable of understanding and generating human-like text across various languages and domains using in-depth learning methodologies. A key illustration of this took place in October 2023 when the US tech firm, Refuel AI Inc. rolled out the Refuel Cloud platform which utilizes LLMs to automate data cleaning, labeling and enrichment at a large scale for a variety of sectors. This ensures clean datasets, accurately labeled for AI training, delivered in just a few minutes. The unique approach from Refuel Cloud enables data teams to define dataset labels in natural language thus boosting effectiveness and minimizing errors. Furthermore, Refuel Cloud guarantees enhanced data security by allowing the clients to deploy the technology in their cloud or on-site set-up, thereby ensuring data privacy and authority.
What Are the Key Segments in the Data Labeling Solution And Services Market?
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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Who Are the Key Players Shaping the Data Labeling Solution And Services Market’s Competitive Landscape?
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.
What Geographic Markets Are Powering Growth 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.
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