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Advancements In Generative AI In Data Labeling Solution And Services enhanced Market Growth Trend: A Crucial Influence on the Generative Artificial Intelligence (AI) In Data Labeling Solution And Services Market's Transformation in 2025
Generative Artificial Intelligence (AI) In Data Labeling Solution And Services Market Size
In recent times, the market size of generative artificial intelligence (AI) in data labeling solutions and services has seen an exponential rise. Its valuation is projected to escalate from $15.5 billion in 2024 to $19.34 billion in 2025, demonstrating a compound annual growth rate (CAGR) of 24.7%. The surge observed in the historical period is a result of mounting demand for affordable solutions, growing investment in AI startups, amplified need for real-time data processing, heightened concentration on data security and increasing emphasis on ethical considerations in AI.
The market size of the data labeling solution and services leveraging generative artificial intelligence (AI) is anticipated to observe significant expansion in the forthcoming years. The value is projected to reach $46.4 billion by 2029, growing at a compound annual growth rate (CAGR) of 24.5%. Factors contributing to this growth during the forecasted period include the proliferation of AI applications, the rise in e-commerce and digital platforms, advancements in AI research and development, support for less commonly spoken languages and dialects, and customization to meet industry-specific requirements. Trends to watch out for during this period are superior data augmentation, AI-backed crowdsourcing, integration with machine learning operations, improved object recognition, and refined natural language processing (NLP) models.
What Factors Are Fueling Growth in the Generative Artificial Intelligence (AI) In Data Labeling Solution And Services Market?
The surge in data volume is projected to boost the evolution of the generative artificial intelligence (AI) in the data labeling solutions and services sector. Data volume pertains to the quantity or magnitude of data produced, gathered, or stored. This escalation of data volume stems from the extensive application of digital technologies, generating and cataloging a myriad of information from diverse sources like social media, IoT appliances, and digital transactions. Generative AI facilitated data labeling tools and services help manage this data surge through the automated generation of top-tier, annotated datasets, accelerating the learning process of AI models and minimizing the duration and expenses linked with manual labeling. For instance, in December 2023, the UK Business Data Survey 2022, issued by gov.uk, a professional UK government organization, reported that 85% of UK enterprises managed digital data in 2022, an increment from 81% the previous year. Hence, this surge in data volume is propelling the evolution of the generative AI in the data labeling solutions and services market.
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Which Leading Companies Are Shaping the Growth of the Generative Artificial Intelligence (AI) In Data Labeling Solution And Services Market?
Major companies operating in the generative artificial intelligence (AI) in data labeling solution and services market are Microsoft Corporation, CloudFactory Limited, iMerit Technology Services Pvt. Ltd., Quantiphi Inc., Samasource Inc., Appen Limited, DataRobot Inc., Scale AI Inc., Cogito Technologies Pvt. Ltd., Clarify Inc., Osiz Technologies Private Limited, Clickworker GmbH, Snorkel AI Inc., Labelbox Inc., V7 Lab Inc., SuperAnnotate Inc., Dataloop AI Ltd., Prolific Ltd., Superb AI Inc., Roboflow Inc., Anolytics Inc., Datasaur, LabelMe, Nanonets Inc.
What Are the Major Trends Shaping the Generative Artificial Intelligence (AI) In Data Labeling Solution And Services Market?
Prominent corporations in the generative artificial intelligence (AI) segment of the data labelling solutions and services market are prioritizing the development of advanced solutions, including proprietary generative AI services. This is to augment data labelling faculties and accommodate increasing demand. An internally-designed and maintained system or platform that produces and uses AI models to generate content, data, or other deliverables is referred to as an in-house generative AI service. For example, Sumitomo Chemical Co., Ltd., a manufacturer of chemical products based in Japan, introduced ChatSCC in October 2023. This was intended to boost efficiency and maximize the usage of exclusive data among its approximately 6,500 workers. The service presents novel functions like real-time sentiment analysis during discussions, enabling users to immediately measure and react to emotional cues, thereby improving engagement and communication efficacy.
What Are the Key Segments of the Generative Artificial Intelligence (AI) In Data Labeling Solution And Services Market?
The generative artificial intelligence (AI) in data labeling solution and services market covered in this report is segmented -
1) By Type: Audio-Based, Image Or Video-Based, Text-Based
2) By Labeling Type: Automatic, Manual, Semi-Supervised
3) By Sourcing Type: In-House, Outsourced
4) By Vertical: Automotive, Financial Services, Government, Healthcare, Information Technology (IT) Data, Retail, Other Verticals
Subsegments:
1) By Audio-Based: Speech Recognition, Audio Transcription, Sound Classification, Voice Annotation
2) By Image Or Video-Based: Object Detection, Image Segmentation, Video Annotation, Facial Recognition
3) By Text-Based: Sentiment Analysis, Named Entity Recognition (NER), Text Classification, Document Annotation
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Which Region Dominates the Generative Artificial Intelligence (AI) In Data Labeling Solution And Services Market?
North America was the largest region in the generative artificial intelligence (AI) in data labeling solution and services market in 2024. The regions covered in the generative artificial intelligence (AI) in 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 Generative Artificial Intelligence (AI) In Data Labeling Solution And Services Global Market Report?
- Market Size Analysis: Analyze the Generative Artificial Intelligence (AI) In Data Labeling Solution And Services Market size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the Generative Artificial Intelligence (AI) In 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 Generative Artificial Intelligence (AI) In 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 Generative Artificial Intelligence (AI) In 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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