AI Training Dataset Market Forecast to 2028 - COVID-19 Impact and Global Analysis By Type (Text, Image/Video, Audio); Vertical (IT, Automotive, Government, Healthcare, BFSI, Retail and E-Commerce, Others) and Geography
Report Code: TIPRE00011831 No. of Pages: 150 Category: Technology, Media and Telecommunications Status: Upcoming
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MARKET INTRODUCTION
Artificial intelligence is emerging as a new solution for decision-making in businesses, the technology is helping the businesses to form an enhanced business strategy based on AI's valuable insights. Training datasets are labeled data used by AI or machine learning to develop models helping to make the proper decisions in business. Training data needs to be collected and labeled by human intelligence through the collection from various platforms. High-quality data play a vital role in new AI model development for the business. Thus, with increasing demand for analyzed data, the demand for AI training datasets is rising and bolstering the market growth.
MARKET DYNAMICS
The increasing digitalization of business has already triggered the demand for analytical solutions for better visualization and strategy formations. Businesses are shifting towards automation, which enhanced the demand for AI and machine learning technologies. The importance of data has been propelled in the past few years owing to its benefits in strategy formulation. The improved forecasting with enhanced accuracy of businesses strategies through AI data has emerged as a new business tool for business owners. However, low adoption of AI in developing and underdeveloped nations have limited the market growth. Rapid innovation in AI technology is expected to boost the market growth in the forecasted period.
MARKET SCOPE
The "Global AI Training Dataset Market Analysis To 2028" is a specialized and in-depth study of the technology, media, and telecommunication industry with a special focus on the global market trend analysis. The AI training dataset market report aims to provide an overview of the AI training dataset market with detailed market segmentation by type, vertical, and geography. The global AI training dataset market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading AI training dataset market players and offers key trends and opportunities in the market.
MARKET SEGMENTATION
The global AI training dataset market is segmented based on type, and vertical. On the basis of type, market is segmented as Text, Image/Video, and audio. On the basis of vertical, market is segmented as IT, Automotive, Government, Healthcare, BFSI, Retail and E-Commerce, and Others.
REGIONAL FRAMEWORK
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global AI training dataset market based on various segments. It also provides market size and forecast estimates from the year 2019 to 2028 with respect to five major regions, namely, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The AI training dataset market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
The report analyzes factors affecting the AI training dataset market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely, North America, Europe, APAC, MEA, and South& Central America after evaluating political, economic, social and technological factors affecting the AI training dataset market in these regions.
The reports cover key developments in the AI training dataset market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for the expansion of business and customer base of market players. The market players from AI training dataset market are anticipated to lucrative growth opportunities in the future with the rising demand for filter products in the global market. Below mentioned is the list of few companies engaged in the underwriting and rating software market.
The report also includes the profiles of key companies along with their SWOT analysis and market strategies in the underwriting and rating software market. In addition, the report focuses on leading industry players with information such as company profiles, components, and services offered, financial information of the last 3 years, the key development in the past five years.
Artificial intelligence is emerging as a new solution for decision-making in businesses, the technology is helping the businesses to form an enhanced business strategy based on AI's valuable insights. Training datasets are labeled data used by AI or machine learning to develop models helping to make the proper decisions in business. Training data needs to be collected and labeled by human intelligence through the collection from various platforms. High-quality data play a vital role in new AI model development for the business. Thus, with increasing demand for analyzed data, the demand for AI training datasets is rising and bolstering the market growth.
MARKET DYNAMICS
The increasing digitalization of business has already triggered the demand for analytical solutions for better visualization and strategy formations. Businesses are shifting towards automation, which enhanced the demand for AI and machine learning technologies. The importance of data has been propelled in the past few years owing to its benefits in strategy formulation. The improved forecasting with enhanced accuracy of businesses strategies through AI data has emerged as a new business tool for business owners. However, low adoption of AI in developing and underdeveloped nations have limited the market growth. Rapid innovation in AI technology is expected to boost the market growth in the forecasted period.
MARKET SCOPE
The "Global AI Training Dataset Market Analysis To 2028" is a specialized and in-depth study of the technology, media, and telecommunication industry with a special focus on the global market trend analysis. The AI training dataset market report aims to provide an overview of the AI training dataset market with detailed market segmentation by type, vertical, and geography. The global AI training dataset market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading AI training dataset market players and offers key trends and opportunities in the market.
MARKET SEGMENTATION
The global AI training dataset market is segmented based on type, and vertical. On the basis of type, market is segmented as Text, Image/Video, and audio. On the basis of vertical, market is segmented as IT, Automotive, Government, Healthcare, BFSI, Retail and E-Commerce, and Others.
REGIONAL FRAMEWORK
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global AI training dataset market based on various segments. It also provides market size and forecast estimates from the year 2019 to 2028 with respect to five major regions, namely, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The AI training dataset market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
The report analyzes factors affecting the AI training dataset market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely, North America, Europe, APAC, MEA, and South& Central America after evaluating political, economic, social and technological factors affecting the AI training dataset market in these regions.
The reports cover key developments in the AI training dataset market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for the expansion of business and customer base of market players. The market players from AI training dataset market are anticipated to lucrative growth opportunities in the future with the rising demand for filter products in the global market. Below mentioned is the list of few companies engaged in the underwriting and rating software market.
The report also includes the profiles of key companies along with their SWOT analysis and market strategies in the underwriting and rating software market. In addition, the report focuses on leading industry players with information such as company profiles, components, and services offered, financial information of the last 3 years, the key development in the past five years.
- Alegion
- Amazon Web Services, Inc.
- Appen Limited
- Cogito Tech LLC
- Deep Vision Data
- Google, LLC (Kaggle)
- Lionbridge Technologies, Inc.
- Microsoft Corporation
- Samasource Inc
- Scale AI, Inc.