1. What is the projected Compound Annual Growth Rate (CAGR) of the AI Training Dataset Market?
The projected CAGR is approximately 24.7%.
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AI Training Dataset MarketAI Training Dataset Market by Type (Text, Audio, Image, Video, Others), by Deployment Mode (On-Premises, Cloud), by End-Users (IT, Telecommunications, Retail, Consumer Goods, Healthcare, Automotive, BFSI, Others), by By Type (Text, Audio, Image, Video, Others), by South America (Brazil, Argentina, Rest of South America), by Europe (U.K., Germany, France, Italy, Spain, Russia, Benelux, Nordics, Rest of Europe), by Middle East & Africa (Turkey, Israel, GCC, North Africa, South Africa, Rest of the Middle East & Africa), by Asia Pacific (China, Japan, India, South Korea, ASEAN, Oceania, Rest of Asia Pacific) Forecast 2026-2034
The AI Training Dataset Market size was valued at USD 2.39 USD Billion in 2023 and is projected to reach USD 11.21 USD Billion by 2032, exhibiting a CAGR of 24.7 % during the forecast period. An AI training dataset is an information set prepared for training a machine learning model to make accurate predictions or decisions. These sources can further be categorized based on text format and they include; structured text; unstructured text; semi-structured text; digital records; Object files; Multimedia; and structured documents. In the case of the training datasets, the quality, quantity, and relevance of data, their diversity, and representativeness are considered key features. The use of training data sets is widespread across different domains such as NLP, CV, and Predictive Analytics where there is a learning of the models such that they can make intelligent choices in relation to data fed to the model.
Type: -Text -Audio -Image -Video -Others
Deployment Mode: -On-Premises -Cloud
End-Users: -IT and Telecommunications -Retail and Consumer Goods -Healthcare -Automotive -BFSI -Others
December 2023: TELUS International launched Experts Engine, a comprehensive solution for acquiring experts to label and annotate data for generative AI model training, ensuring data accuracy and quality.
September 2023: Cogito Tech introduced a "Nutrition Facts" model for AI training datasets, advocating for ethical practices and providing transparency about the provenance, diversity, and potential biases within the data.
June 2023: Sama launched Platform 2.0, an advanced computer vision platform designed to reduce algorithm failure risk by providing tools for data quality control, annotation, and model validation.
May 2023: Appen Limited partnered with Reka AI to combine its data services with Reka AI's multimodal language models, enhancing the quality and efficiency of natural language processing AI models.
March 2022: Appen Limited invested in Mindtech, a synthetic data company focused on computer vision models. This investment aims to explore the potential of synthetic data in augmenting and enhancing training datasets.
GDPR (General Data Protection Regulation) and HIPAA (Health Insurance Portability and Accountability Act) are regulations impacting the use and privacy of training datasets.
Analysis of patents related to AI training datasets can provide insights into industry trends and technological advancements.
The AI Training Dataset market is poised for significant growth due to the increasing adoption of AI, the need for high-quality training data, and the emergence of innovative technologies. Market participants should focus on providing comprehensive and reliable datasets, exploring new data sources, and leveraging automation to remain competitive.
| Aspects | Details |
|---|---|
| Study Period | 2020-2034 |
| Base Year | 2025 |
| Estimated Year | 2026 |
| Forecast Period | 2026-2034 |
| Historical Period | 2020-2025 |
| Growth Rate | CAGR of 24.7% from 2020-2034 |
| Segmentation |
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Note*: In applicable scenarios
Primary Research
Secondary Research
Involves using different sources of information in order to increase the validity of a study
These sources are likely to be stakeholders in a program - participants, other researchers, program staff, other community members, and so on.
Then we put all data in single framework & apply various statistical tools to find out the dynamic on the market.
During the analysis stage, feedback from the stakeholder groups would be compared to determine areas of agreement as well as areas of divergence
The projected CAGR is approximately 24.7%.
Key companies in the market include Amazon Web Services, Inc. (U.S.), Appen Limited (Australia), Cogito Tech (India), Deep Vision Data (U.S.), Samasource Impact Sourcing, Inc. (U.S.), Google LLC (U.S.), Alegion AI, Inc. (U.S.), Clickworker GmbH (U.S.), TELUS International (Canada), Scale AI, Inc. (U.S.).
The market segments include Type, Deployment Mode, End-Users.
The market size is estimated to be USD 2.39 USD Billion as of 2022.
Rapid Adoption of AI Technologies for Training Datasets to Aid Market Growth.
Rising Usage of Synthetic Data for Enhancing Authentication to Propel Market Growth.
Lack of Skilled AI Professionals and Data Privacy Concerns to Hinder Market Expansion.
December 2023: TELUS International, a digital customer experience innovator in AI and content moderation, launched Experts Engine, a fully managed, technology-driven, on-demand expert acquisition solution for generative AI models. It programmatically brings together human expertise and Gen AI tasks, such as data collection, data generation, annotation, and validation, to build high-quality training sets for the most challenging master models, including the Large Language Model (LLM).
Pricing options include single-user, multi-user, and enterprise licenses priced at USD 4850, USD 5850, and USD 6850 respectively.
The market size is provided in terms of value, measured in USD Billion.
Yes, the market keyword associated with the report is "AI Training Dataset Market," which aids in identifying and referencing the specific market segment covered.
The pricing options vary based on user requirements and access needs. Individual users may opt for single-user licenses, while businesses requiring broader access may choose multi-user or enterprise licenses for cost-effective access to the report.
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