AI Training Dataset Market Insights and Growth by 2031
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 2031" 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 2021 to 2031 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.
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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 2021 to 2031 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.
MARKET PLAYERS
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.
- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
- Request discounts available for Start-Ups & Universities
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
1.INTRODUCTION
1.1.SCOPE OF THE STUDY
1.2.THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3.MARKET SEGMENTATION
1.3.1AI Training Dataset Market - By Type
1.3.2AI Training Dataset Market - By Vertical
1.3.3AI Training Dataset Market - By Region
1.3.3.1By Country
2.KEY TAKEAWAYS
3.RESEARCH METHODOLOGY
4.AI TRAINING DATASET MARKET LANDSCAPE
4.1.OVERVIEW
4.2.PORTER'S FIVE FORCES ANALYSIS
4.2.1Bargaining Power of Buyers
4.2.1Bargaining Power of Suppliers
4.2.1Threat of Substitute
4.2.1Threat of New Entrants
4.2.1Competitive Rivalry
4.3.ECOSYSTEM ANALYSIS
4.4.EXPERT OPINIONS
5.AI TRAINING DATASET MARKET - KEY MARKET DYNAMICS
5.1.KEY MARKET DRIVERS
5.2.KEY MARKET RESTRAINTS
5.3.KEY MARKET OPPORTUNITIES
5.4.FUTURE TRENDS
5.5.IMPACT ANALYSIS OF DRIVERS AND RESTRAINTS
6.AI TRAINING DATASET MARKET - GLOBAL MARKET ANALYSIS
6.1.AI TRAINING DATASET - GLOBAL MARKET OVERVIEW
6.2.AI TRAINING DATASET - GLOBAL MARKET AND FORECAST TO 2027
6.3.MARKET POSITIONING/MARKET SHARE
7.AI TRAINING DATASET MARKET - REVENUE AND FORECASTS TO 2027 â TYPE
7.1.OVERVIEW
7.2.TYPE MARKET FORECASTS AND ANALYSIS
7.3.TEXT
7.3.1.Overview
7.3.2.Text Market Forecast and Analysis
7.4.IMAGE/VIDEO
7.4.1.Overview
7.4.2.Image/Video Market Forecast and Analysis
7.5.AUDIO
7.5.1.Overview
7.5.2.Audio Market Forecast and Analysis
8.AI TRAINING DATASET MARKET - REVENUE AND FORECASTS TO 2027 â VERTICAL
8.1.OVERVIEW
8.2.VERTICAL MARKET FORECASTS AND ANALYSIS
8.3.IT
8.3.1.Overview
8.3.2.IT Market Forecast and Analysis
8.4.AUTOMOTIVE
8.4.1.Overview
8.4.2.Automotive Market Forecast and Analysis
8.5.GOVERNMENT
8.5.1.Overview
8.5.2.Government Market Forecast and Analysis
8.6.HEALTHCARE
8.6.1.Overview
8.6.2.Healthcare Market Forecast and Analysis
8.7.BFSI
8.7.1.Overview
8.7.2.BFSI Market Forecast and Analysis
8.8.RETAIL AND E-COMMERCE
8.8.1.Overview
8.8.2.Retail and E-Commerce Market Forecast and Analysis
8.9.OTHERS
8.9.1.Overview
8.9.2.Others Market Forecast and Analysis
9.AI TRAINING DATASET MARKET REVENUE AND FORECASTS TO 2027 â GEOGRAPHICAL ANALYSIS
9.1.NORTH AMERICA
9.1.1North America AI Training Dataset Market Overview
9.1.2North America AI Training Dataset Market Forecasts and Analysis
9.1.3North America AI Training Dataset Market Forecasts and Analysis - By Type
9.1.4North America AI Training Dataset Market Forecasts and Analysis - By Vertical
9.1.5North America AI Training Dataset Market Forecasts and Analysis - By Countries
9.1.5.1United States AI Training Dataset Market
9.1.5.1.1United States AI Training Dataset Market by Type
9.1.5.1.2United States AI Training Dataset Market by Vertical
9.1.5.2Canada AI Training Dataset Market
9.1.5.2.1Canada AI Training Dataset Market by Type
9.1.5.2.2Canada AI Training Dataset Market by Vertical
9.1.5.3Mexico AI Training Dataset Market
9.1.5.3.1Mexico AI Training Dataset Market by Type
9.1.5.3.2Mexico AI Training Dataset Market by Vertical
9.2.EUROPE
9.2.1Europe AI Training Dataset Market Overview
9.2.2Europe AI Training Dataset Market Forecasts and Analysis
9.2.3Europe AI Training Dataset Market Forecasts and Analysis - By Type
9.2.4Europe AI Training Dataset Market Forecasts and Analysis - By Vertical
9.2.5Europe AI Training Dataset Market Forecasts and Analysis - By Countries
9.2.5.1Germany AI Training Dataset Market
9.2.5.1.1Germany AI Training Dataset Market by Type
9.2.5.1.2Germany AI Training Dataset Market by Vertical
9.2.5.2France AI Training Dataset Market
9.2.5.2.1France AI Training Dataset Market by Type
9.2.5.2.2France AI Training Dataset Market by Vertical
9.2.5.3Italy AI Training Dataset Market
9.2.5.3.1Italy AI Training Dataset Market by Type
9.2.5.3.2Italy AI Training Dataset Market by Vertical
9.2.5.4United Kingdom AI Training Dataset Market
9.2.5.4.1United Kingdom AI Training Dataset Market by Type
9.2.5.4.2United Kingdom AI Training Dataset Market by Vertical
9.2.5.5Russia AI Training Dataset Market
9.2.5.5.1Russia AI Training Dataset Market by Type
9.2.5.5.2Russia AI Training Dataset Market by Vertical
9.2.5.6Rest of Europe AI Training Dataset Market
9.2.5.6.1Rest of Europe AI Training Dataset Market by Type
9.2.5.6.2Rest of Europe AI Training Dataset Market by Vertical
9.3.ASIA-PACIFIC
9.3.1Asia-Pacific AI Training Dataset Market Overview
9.3.2Asia-Pacific AI Training Dataset Market Forecasts and Analysis
9.3.3Asia-Pacific AI Training Dataset Market Forecasts and Analysis - By Type
9.3.4Asia-Pacific AI Training Dataset Market Forecasts and Analysis - By Vertical
9.3.5Asia-Pacific AI Training Dataset Market Forecasts and Analysis - By Countries
9.3.5.1Australia AI Training Dataset Market
9.3.5.1.1Australia AI Training Dataset Market by Type
9.3.5.1.2Australia AI Training Dataset Market by Vertical
9.3.5.2China AI Training Dataset Market
9.3.5.2.1China AI Training Dataset Market by Type
9.3.5.2.2China AI Training Dataset Market by Vertical
9.3.5.3India AI Training Dataset Market
9.3.5.3.1India AI Training Dataset Market by Type
9.3.5.3.2India AI Training Dataset Market by Vertical
9.3.5.4Japan AI Training Dataset Market
9.3.5.4.1Japan AI Training Dataset Market by Type
9.3.5.4.2Japan AI Training Dataset Market by Vertical
9.3.5.5South Korea AI Training Dataset Market
9.3.5.5.1South Korea AI Training Dataset Market by Type
9.3.5.5.2South Korea AI Training Dataset Market by Vertical
9.3.5.6Rest of Asia-Pacific AI Training Dataset Market
9.3.5.6.1Rest of Asia-Pacific AI Training Dataset Market by Type
9.3.5.6.2Rest of Asia-Pacific AI Training Dataset Market by Vertical
9.4.MIDDLE EAST AND AFRICA
9.4.1Middle East and Africa AI Training Dataset Market Overview
9.4.2Middle East and Africa AI Training Dataset Market Forecasts and Analysis
9.4.3Middle East and Africa AI Training Dataset Market Forecasts and Analysis - By Type
9.4.4Middle East and Africa AI Training Dataset Market Forecasts and Analysis - By Vertical
9.4.5Middle East and Africa AI Training Dataset Market Forecasts and Analysis - By Countries
9.4.5.1South Africa AI Training Dataset Market
9.4.5.1.1South Africa AI Training Dataset Market by Type
9.4.5.1.2South Africa AI Training Dataset Market by Vertical
9.4.5.2Saudi Arabia AI Training Dataset Market
9.4.5.2.1Saudi Arabia AI Training Dataset Market by Type
9.4.5.2.2Saudi Arabia AI Training Dataset Market by Vertical
9.4.5.3U.A.E AI Training Dataset Market
9.4.5.3.1U.A.E AI Training Dataset Market by Type
9.4.5.3.2U.A.E AI Training Dataset Market by Vertical
9.4.5.4Rest of Middle East and Africa AI Training Dataset Market
9.4.5.4.1Rest of Middle East and Africa AI Training Dataset Market by Type
9.4.5.4.2Rest of Middle East and Africa AI Training Dataset Market by Vertical
9.5.SOUTH AND CENTRAL AMERICA
9.5.1South and Central America AI Training Dataset Market Overview
9.5.2South and Central America AI Training Dataset Market Forecasts and Analysis
9.5.3South and Central America AI Training Dataset Market Forecasts and Analysis - By Type
9.5.4South and Central America AI Training Dataset Market Forecasts and Analysis - By Vertical
9.5.5South and Central America AI Training Dataset Market Forecasts and Analysis - By Countries
9.5.5.1Brazil AI Training Dataset Market
9.5.5.1.1Brazil AI Training Dataset Market by Type
9.5.5.1.2Brazil AI Training Dataset Market by Vertical
9.5.5.2Argentina AI Training Dataset Market
9.5.5.2.1Argentina AI Training Dataset Market by Type
9.5.5.2.2Argentina AI Training Dataset Market by Vertical
9.5.5.3Rest of South and Central America AI Training Dataset Market
9.5.5.3.1Rest of South and Central America AI Training Dataset Market by Type
9.5.5.3.2Rest of South and Central America AI Training Dataset Market by Vertical
10.INDUSTRY LANDSCAPE
10.1.MERGERS AND ACQUISITIONS
10.2.AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
10.3.NEW PRODUCT LAUNCHES
10.4.EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS
11.AI TRAINING DATASET MARKET, KEY COMPANY PROFILES
11.1.ALEGION
11.1.1.Key Facts
11.1.2.Business Description
11.1.3.Products and Services
11.1.4.Financial Overview
11.1.5.SWOT Analysis
11.1.6.Key Developments
11.2.AMAZON WEB SERVICES, INC.
11.2.1.Key Facts
11.2.2.Business Description
11.2.3.Products and Services
11.2.4.Financial Overview
11.2.5.SWOT Analysis
11.2.6.Key Developments
11.3.APPEN LIMITED
11.3.1.Key Facts
11.3.2.Business Description
11.3.3.Products and Services
11.3.4.Financial Overview
11.3.5.SWOT Analysis
11.3.6.Key Developments
11.4.COGITO TECH LLC
11.4.1.Key Facts
11.4.2.Business Description
11.4.3.Products and Services
11.4.4.Financial Overview
11.4.5.SWOT Analysis
11.4.6.Key Developments
11.5.DEEP VISION DATA
11.5.1.Key Facts
11.5.2.Business Description
11.5.3.Products and Services
11.5.4.Financial Overview
11.5.5.SWOT Analysis
11.5.6.Key Developments
11.6.GOOGLE, LLC (KAGGLE)
11.6.1.Key Facts
11.6.2.Business Description
11.6.3.Products and Services
11.6.4.Financial Overview
11.6.5.SWOT Analysis
11.6.6.Key Developments
11.7.LIONBRIDGE TECHNOLOGIES, INC.
11.7.1.Key Facts
11.7.2.Business Description
11.7.3.Products and Services
11.7.4.Financial Overview
11.7.5.SWOT Analysis
11.7.6.Key Developments
11.8.MICROSOFT CORPORATION
11.8.1.Key Facts
11.8.2.Business Description
11.8.3.Products and Services
11.8.4.Financial Overview
11.8.5.SWOT Analysis
11.8.6.Key Developments
11.9.SAMASOURCE INC
11.9.1.Key Facts
11.9.2.Business Description
11.9.3.Products and Services
11.9.4.Financial Overview
11.9.5.SWOT Analysis
11.9.6.Key Developments
11.10.SCALE AI, INC.
11.10.1.Key Facts
11.10.2.Business Description
11.10.3.Products and Services
11.10.4.Financial Overview
11.10.5.SWOT Analysis
11.10.6.Key Developments
12.APPENDIX
12.1.ABOUT THE INSIGHT PARTNERS
12.2.GLOSSARY OF TERMS
1. Alegion
2. Amazon Web Services, Inc.
3. Appen Limited
4. Cogito Tech LLC
5. Deep Vision Data
6. Google, LLC (Kaggle)
7. Lionbridge Technologies, Inc.
8. Microsoft Corporation
9. Samasource Inc
10. Scale AI, Inc.
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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