What are the recent trends in market size and growth for the generative artificial intelligence (ai) in data labeling solution and services market?
The generative artificial intelligence (AI) in data labeling solution and services market size has grown exponentially in recent years. It will grow from $15.5 billion in 2024 to $19.34 billion in 2025 at a compound annual growth rate (CAGR) of 24.7%. The growth in the historic period can be attributed to increasing demand for cost-effectiveness, increasing Investment in AI startups, increasing demand for real-time data processing, increasing focus on data security, and increasing focus on AI ethics.
The generative artificial intelligence (AI) in data labeling solution and services market size is expected to see exponential growth in the next few years. It will grow to $46.4 billion in 2029 at a compound annual growth rate (CAGR) of 24.5%. The growth in the forecast period can be attributed to the expansion of AI applications, growth of e-commerce and digital platforms, the evolution of AI research and development, support for low-resource languages and dialects, and customization for industry-specific needs. Major trends in the forecast period include advanced data augmentation, crowdsourcing with AI assistance, integration with machine learning ops, enhanced object recognition, and advanced natural language processing (NLP) models.
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How have varous drivers impacted the growth of the generative artificial intelligence (ai) in data labeling solution and services market?
The increasing volume of data is expected to propel the growth of the generative artificial intelligence (AI) in data labeling solution and services market going forward. The volume of data refers to the amount or quantity of data being generated, collected, or stored. The increasing volume of data is due to the proliferation of digital technologies, which generate and capture vast amounts of information from various sources such as social media, IoT devices, and online transactions. Generative AI data labeling solutions and services help the volume of data by automating the creation of high-quality, annotated datasets, which accelerates the training of machine learning models and reduces the time and cost associated with manual labeling. For instance, in December 2023, according to the UK Business Data Survey 2022, a report published by the gov.uk, a UK-based professional governmental organization, 85% of UK businesses managed digital data in 2022, up from 81% in 2021. Therefore, the increasing volume of data is driving the growth of generative artificial intelligence (AI) in data labeling solution and services market.
What are the primary 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 firms are leading 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.
How will industry trends affect the trajectory 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 focusing on developing advanced solutions, such as in-house generative AI services, to enhance data labeling capabilities and meet growing demand. An in-house generative AI service refers to a system or platform developed and maintained internally by an organization to create and utilize AI models for generating content, data, or other outputs. For instance, in October 2023, Sumitomo Chemical Co., Ltd., a Japan-based manufacturer of chemical-based products, launched ChatSCC, which is designed to enhance productivity and optimize the use of proprietary data among the company’s approximately 6,500 employees. It offers unique features such as real-time sentiment analysis within conversations, allowing users to instantly gauge and respond to emotional tones, enhancing engagement and communication effectiveness.
Which geographic trends are shaping the generative artificial intelligence (ai) in data labeling solution and services market, and which region has the highest market share?
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 Does The Generative Artificial Intelligence (AI) In Data Labeling Solution And Services Market Report 2025 Offer?
The generative artificial intelligence (ai) in data labeling solution and services market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
Generative artificial intelligence (AI) in data labeling solution and services refers to the use of advanced AI models to assist in or automate the process of labeling data. Generative AI in data labeling solutions and services utilizes advanced machine learning algorithms to automatically assign accurate labels to large volumes of data, thereby accelerating the labeling process and enhancing the overall quality and consistency of labeled datasets.
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