Global AI Training Dataset Market Size Study & Forecast, By Type (Text, Image/Video, Audio), By Vertical (IT, Automotive, Government, Healthcare, BFSI, Retail & E-commerce, Others), and Regional Analysis, 2023-2030

Global AI Training Dataset Market Size Study & Forecast, By Type (Text, Image/Video, Audio), By Vertical (IT, Automotive, Government, Healthcare, BFSI, Retail & E-commerce, Others), and Regional Analysis, 2023-2030

Global AI Training Dataset Market is valued approximately USD XX billion in 2022 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2023-2030. AI training data comprises labeled instances used to train machine learning models, encompassing various formats like images, audio, text, or structured data. Each instance is associated with an output label defining its category or characteristics. This data educates ML algorithms to recognize patterns and make predictions, enabling to learn from labeled datasets and apply this knowledge to new, unseen data. The market growth is driven by key factors such as rapid growth of AI and machine learning, and growing applications of training dataset across diversified industry verticals.

Artificial Intelligence (AI) plays a crucial role in big data by enabling the extraction of sophisticated abstractions through hierarchical learning. This necessitates the mining and extraction of significant patterns from vast datasets, highlighting AI's importance in handling complex data analytics tasks. As per Statista, the value of AI, currently estimated at nearly $100 billion, is projected to soar twentyfold by 2030, reaching nearly USD 2 trillion. This expansive market spans across numerous industries, encompassing supply chains, marketing, product development, research, analysis, and more. Major trends driving AI advancement include chatbots, image-generation AI, and mobile applications. Also, Machine learning represents a significant segment within the AI domain, constituting most of the AI software and initiatives. Proportionately, it stands as the largest segment in the AI market, projected to surge from approximately USD 140 billion to nearly USD 2 trillion by 2030. However, high installation costs, and infrastructure limitations stifle market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global AI Training Dataset Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America is leading the market share of AI Training Dataset driven by the release of new datasets to bolster artificial intelligence adoption. Meanwhile, the Asia Pacific region is expected to be the fastest-growing region fueled by the adoption of emerging technologies and the presence of numerous market players. Developing nations like India exhibit high rates of technology adoption, attracting multiple players focused on expanding in the region. For instance, Microsoft launched an indoor location dataset, gathering data from buildings in Chinese cities, including geomagnetic fields and indoor Wi-Fi signatures.

Major market player included in this report are:
Microsoft Corporation
Google, LLC (Kaggle)
Deep Vision Data
Appen Limited
Cogito Tech LLC
Lionbridge Technologies, Inc.
Amazon Web Services, Inc.
Scale AI Inc.
Samasource Inc.
Alegion

Recent Developments in the Market:
 In June 2021, Amazon unveiled a vast dataset named Amazon Berkeley Objects, aimed at facilitating the development of more efficient AI models tailored for image-based shopping experiences.
 In March 2021, OpenAI, a prominent AI research organization, created multiple large-scale pre-trained models including GPT-2 and GPT-3, trained on extensive datasets. Additionally, they published several open-source datasets that have facilitated the development of various natural language processing (NLP) models.
 In January 2021, Vector Space AI, a provider of datasets, initiated a partnership with Elasticsearch B.V., specializing in search technology. This collaboration aims to furnish users with AI datasets developed through joint efforts. Vectorspace AI introduced datasets designed to enhance AI, ML, and data engineering capabilities.

Global AI Training Dataset Market Report Scope:
 Historical Data – 2020 - 2021
 Base Year for Estimation – 2022
 Forecast period - 2023-2030
 Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
 Segments Covered – Type, End-user, Region
 Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players.

The detailed segments and sub-segment of the market are explained below:

By Type:
Text
Image/Video
Audio
By End-user:
IT
Automotive
Government
Healthcare
BFSI
Retail & E-commerce
Others

By Region:

North America
U.S.
Canada

Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC

Latin America
Brazil
Mexico

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Please note:The single user license is non-downloadable and non-printable. Global Site license allows these actions.