AI Training Dataset Market By Type (Text, Audio, Image/Video), By End User (IT and Telecom, BFSI, Automotive, Healthcare, Government and Defense, Retail, Others): Global Opportunity Analysis and Industry Forecast, 2021-2031

AI Training Dataset Market

AI gives machines the ability to learn from past experience, carry out human-like functions, and adapt to new stimuli. These machines are taught to analyses vast amount of data and identify patterns in order to carry out a specific job. Moreover, some datasets are needed to build these machines. To meet this need, there is an increasing demand for training databases for artificial intelligence. AI (artificial intelligence) is used in machine learning, which enables systems to learn from experience without being expressly programmed automatically. Machine learning focuses on creating software that can acquire and use data to make its own discoveries. Data used to build a machine learning model is referred to as AI training data. The training set, training dataset, learning group, and regression coefficients data in the data are also ascribed to the AI training data. 

Furthermore, factors such as machine learning and Intelligence are expanding quickly, and the production of large amounts of data and technological advancements primarily drive the growth of the AI training dataset market. However, poor expertise of technology in developing areas hampers market growth to some extent. Moreover, widening functionality of training data sets in multiple business verticals is expected to provide lucrative opportunities for the market growth during the forecast period.

Depending on end user, the IT and telecom segment dominated the AI training dataset market share in 2021 and is expected to continue this dominance during the forecast period, owing to improve IT operations management and speed up problem resolution in complicated modern IT environments as IT infrastructures get more complex and clients. Moreover, the vast, changing, and challenging-to-manage IT landscape has found considerable use for the enormous advancement in AI. However, the healthcare segment is expected to witness the highest growth in the upcoming years, owing to analyzing enormous data sets that are well above the capacity of humans. Moreover, by automating the most error-prone repetitive tasks, this healthcare technology will improve their capacities and efficacy.

The COVID-19 pandemic's emergence has sparked advancements in numerous industries' use of apps and technology. Additionally, the pandemic has increased the pace at which AI is being used in fields like healthcare. All sectors now face difficulties in operating their businesses as a result of the crisis. AI-based tools and solutions have been widely adopted in all industries as a response to this scenario. The market's major players are concentrating on transforming their operations to be more digital, which has led to an enormous demand for AI solutions. Therefore, these variables are responsible for the COVID-19 pandemic's favorable impact on the market for AI training datasets. Moreover, businessmen had to use sophisticated analytics and other AI-based technologies to ensure that their operations ran smoothly during the pandemic. Additionally, businesses have grown dependent on cutting-edge technologies, which are predicted to accelerate market development in the years to come. Additionally, a number of sectors, including e-commerce, IT & automotive, and healthcare, are anticipated to accelerate the implementation of the AI training dataset. As a result, it can be predicted that during the forecast period, the market for AI training datasets will expand more quickly.

According to Md Shadaab Khan, Senior Analyst, ICT, at , “The image/video segment is expected to witness the highest growth in the upcoming years, owing to create its own parameters to represent or model those patterns in order to forecast fresh data (such to identify objects in a video) or create entirely new content that closely resembles the training data (such as synthesize images from a collection of paintings).”

Region wise, the AI training dataset market was dominated by North America in 2021 and is expected to retain its position during the forecast period, owing to industries moving towards automation, there is a higher demand for AI and machine learning tools. The demand for analytical solutions to acquire the best visualization and strategy developments is being driven by the rapid digitalization of company. However, Asia-Pacific is expected to witness the highest growth in the upcoming years, owing to the widespread release of new datasets to speed up the usage of artificial intelligence technology in developing sectors. Emerging technologies are being quickly embraced by businesses in developing nations like India in order to modernize their operations. Other important players are also focusing their efforts in the area. 

KEY FINDINGS OF THE STUDY

By type, in 2021, the text segment was the highest revenue contributor to the market, with an 19.8% impressive CAGR. However, the image/video segment is estimated to reach $9,292.93 million by 2031, during the forecast period.

By end user, the IT and telecom segment is estimated to reach $1,807.43 million by 2031, with an 18.4% impressive CAGR, during the forecast period. However, healthcare segments are expected to witness approximately 24.9% CAGRs, respectively, during the forecast period respectively.

Region-wise, the AI training dataset market growth was dominated by North America. However, Asia-Pacific and Europe are expected to witness a significant growth rate during the forecasted period.

Key players profiled in the report include Board International, Clarifai Inc., Inc., Diwo.ai., Google LLC, H2O.ai, IBM Corporation, Intel Corporation, Metaphacts GmbH, Microsoft Corporation and Oracle Corporation. Market players have adopted various strategies, such as product launches, collaboration & partnership, joint ventures, and acquisition to expand their foothold in the decision intelligence market.

Overview

In a number of industrial uses, including manufacturing, IT, BFSI, retail & e-commerce, and healthcare, AI is indeed extremely relevant. Opportunities for new candidates are also emerging due to the rising demand for application-specific training data. Big data is increasingly dependent on artificial intelligence (AI), as the technology enables the extraction of highly complicated abstractions through a hierarchical learning process, necessitating the mining and extraction of meaningful patterns from vast amounts of data. Furthermore, AI gives machines the ability to execute human-like tasks, learn from experience, and adapt to new inputs. These machines are taught to analyze vast amounts of data and find patterns in order to carry out a specific job. Specific datasets are needed to teach these machines. To meet this need, there is a rising demand for AI training databases.

Furthermore, Factors such as machine learning and Intelligence are expanding quickly, and the production of large amounts of data and technological advancements primarily drive the growth of the AI training dataset market. However, poor expertise of technology in developing areas hampers market growth to some extent. Moreover, widening functionality of training data sets in multiple business verticals is expected to provide lucrative opportunities for the market growth during the forecast period. 

Depending on the type, the text segment dominated the AI training dataset market share in 2021 and is expected to continue this dominance during the forecast period, owing to train AI text generators so they can learn the structure and style of writing. It may be used to automatically compose articles, blog posts, product descriptions, and other sorts of content after they have mastered the ability to produce writing that sounds human. However, the image/video segment is expected to witness the highest growth in the upcoming years, owing to creates its own parameters for how to represent or model those patterns in order to forecast fresh data (such to identify objects in a video) or create entirely new content that closely resembles the training data (such as synthesize images from a collection of paintings).

Region wise, the AI training dataset market was dominated by North America in 2021 and is expected to retain its position during the forecast period, owing to industries moving towards automation, there is a higher demand for AI and machine learning tools. The demand for analytical solutions to acquire the best visualization and strategy developments is being driven by the rapid digitalization of company. However, Asia-Pacific is expected to witness the highest growth in the upcoming years, owing to the widespread release of new datasets to speed up the usage of artificial intelligence technology in developing sectors. Emerging technologies are being quickly embraced by businesses in developing nations like India in order to modernize their operations. Other important players are also focusing their efforts in the area.  

Segment review

The AI training dataset market is segmented on the basis of type, industry vertical and region. On the basis of type, it is segregated into Text, Audio, and Image/Video. On the basis industry vertical, it is classified into IT and telecom, BFSI, automotive, healthcare, government and defense, retail, and others. On the basis of region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The global AI training dataset industry is dominated by key players such as Google LLC, Amazon Web Services Inc., Microsoft Corporation, SCALE AI, INC., APPEN LIMITED, Cogito Tech LLC, Lionbridge Technologies, Inc., Alegion, Deep Vision Data, Samasource Inc. These players have adopted various strategies to increase their market penetration and strengthen their position in AI training dataset industry.

Top impacting factors

Quick expansion of Machine learning (ML) and Artificial Intelligence (AI)

Since big data requires the recording, storing, and analysis of a sizable quantity of data, its emergence is expected to fuel the growth of the artificial intelligence market. End users are more concerned with the necessity of maintaining and improving the big data-related analytical models. They are adopting artificial intelligence solutions more rapidly as a result of this focus. The adoption of artificial intelligence is anticipated to significantly increase demand for AI training datasets because annotated data stimulates training AI models and machine learning systems in crucial areas like speech recognition and image identification. By clearly providing the data needed for decision-making and future prediction, data annotation strengthens AI. Many public and private organizations gather domain-specific data, including data from numerous applications like national espionage, fraud detection, marketing, medical informatics, and cyber security. Data annotation makes it possible to label such unstructured and unsupervised data by constantly increasing the accuracy of each individual piece of information.

 

Production of large amounts of data and technological advancements

Big data is used by businesses to enhance operations, deliver better customer service, develop individualized marketing campaigns, and carry out other tasks that can eventually boost sales and profits. Because they can act more quickly and with greater knowledge, businesses that use it successfully may have a competitive advantage over those that don't. Moreover, big data, for instance, offers insightful information about consumers that businesses can use to improve their marketing, advertising, and promotions and boost customer engagement and conversion rates. Furthermore, businesses can become more responsive to customer desires and requirements by analyzing historical and real-time data to evaluate the changing preferences of consumers or corporate buyers. Therefore, the demand for AI training datasets has grown as a result of the enormous volume of data generated by numerous technologies such as machine learning, big data, and artificial intelligence. These technologies generate a significant amount of unstructured and irrelevant data; as a result, it is crucial to feed a machine learning model accurate and pertinent data when training it.

Key Benefits For Stakeholders

●This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the ai training dataset market analysis from 2021 to 2031 to identify the prevailing ai training dataset market opportunities.

●The market research is offered along with information related to key drivers, restraints, and opportunities.

●Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.

●In-depth analysis of the ai training dataset market segmentation assists to determine the prevailing market opportunities.

●Major countries in each region are mapped according to their revenue contribution to the global market.

●Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.

●The report includes the analysis of the regional as well as global ai training dataset market trends, key players, market segments, application areas, and market growth strategies.

Key Market Segments

○ Samasource Inc

Scope of AI Training Dataset Market Report

1.1. Report description

1.2. Key market segments

1.3. Key benefits to the stakeholders

1.4. Research Methodology

1.4.1. Primary research

1.4.2. Secondary research

1.4.3. Analyst tools and models

2.1. CXO Perspective

3.1. Market definition and scope

3.2. Key findings

3.2.1. Top impacting factors

3.2.2. Top investment pockets

3.3. Porter’s five forces analysis

3.3.1. Bargaining power of suppliers

3.3.2. Bargaining power of buyers

3.3.3. Threat of substitutes

3.3.4. Threat of new entrants

3.3.5. Intensity of rivalry

3.4. Market dynamics

3.4.1. Drivers

3.4.1.1. Quick expansion of Machine learning (ML) and Artificial Intelligence (AI)

3.4.1.2. Production of large amounts of data and technological advancements

3.4.2. Restraints

3.4.2.1. Lack of technological expertise of technology in developing regions

3.4.3. Opportunities

3.4.3.1. Broad functionality of training datasets in multiple business verticals

3.5. COVID-19 Impact Analysis on the market

4.1. Overview

4.1.1. Market size and forecast

4.2. Text

4.2.1. Key market trends, growth factors and opportunities

4.2.2. Market size and forecast, by region

4.2.3. Market share analysis by country

4.3. Audio

4.3.1. Key market trends, growth factors and opportunities

4.3.2. Market size and forecast, by region

4.3.3. Market share analysis by country

4.4. Image/Video

4.4.1. Key market trends, growth factors and opportunities

4.4.2. Market size and forecast, by region

4.4.3. Market share analysis by country

5.1. Overview

5.1.1. Market size and forecast

5.2. IT and Telecom

5.2.1. Key market trends, growth factors and opportunities

5.2.2. Market size and forecast, by region

5.2.3. Market share analysis by country

5.3. BFSI

5.3.1. Key market trends, growth factors and opportunities

5.3.2. Market size and forecast, by region

5.3.3. Market share analysis by country

5.4. Automotive

5.4.1. Key market trends, growth factors and opportunities

5.4.2. Market size and forecast, by region

5.4.3. Market share analysis by country

5.5. Healthcare

5.5.1. Key market trends, growth factors and opportunities

5.5.2. Market size and forecast, by region

5.5.3. Market share analysis by country

5.6. Government and Defense

5.6.1. Key market trends, growth factors and opportunities

5.6.2. Market size and forecast, by region

5.6.3. Market share analysis by country

5.7. Retail

5.7.1. Key market trends, growth factors and opportunities

5.7.2. Market size and forecast, by region

5.7.3. Market share analysis by country

5.8. Others

5.8.1. Key market trends, growth factors and opportunities

5.8.2. Market size and forecast, by region

5.8.3. Market share analysis by country

6.1. Overview

6.1.1. Market size and forecast By Region

6.2. North America

6.2.1. Key trends and opportunities

6.2.2. Market size and forecast, by Type

6.2.3. Market size and forecast, by End User

6.2.4. Market size and forecast, by country

6.2.4.1. U.S.

6.2.4.1.1. Key market trends, growth factors and opportunities

6.2.4.1.2. Market size and forecast, by Type

6.2.4.1.3. Market size and forecast, by End User

6.2.4.2. Canada

6.2.4.2.1. Key market trends, growth factors and opportunities

6.2.4.2.2. Market size and forecast, by Type

6.2.4.2.3. Market size and forecast, by End User

6.3. Europe

6.3.1. Key trends and opportunities

6.3.2. Market size and forecast, by Type

6.3.3. Market size and forecast, by End User

6.3.4. Market size and forecast, by country

6.3.4.1. UK

6.3.4.1.1. Key market trends, growth factors and opportunities

6.3.4.1.2. Market size and forecast, by Type

6.3.4.1.3. Market size and forecast, by End User

6.3.4.2. Germany

6.3.4.2.1. Key market trends, growth factors and opportunities

6.3.4.2.2. Market size and forecast, by Type

6.3.4.2.3. Market size and forecast, by End User

6.3.4.3. France

6.3.4.3.1. Key market trends, growth factors and opportunities

6.3.4.3.2. Market size and forecast, by Type

6.3.4.3.3. Market size and forecast, by End User

6.3.4.4. Italy

6.3.4.4.1. Key market trends, growth factors and opportunities

6.3.4.4.2. Market size and forecast, by Type

6.3.4.4.3. Market size and forecast, by End User

6.3.4.5. Spain

6.3.4.5.1. Key market trends, growth factors and opportunities

6.3.4.5.2. Market size and forecast, by Type

6.3.4.5.3. Market size and forecast, by End User

6.3.4.6. Rest of Europe

6.3.4.6.1. Key market trends, growth factors and opportunities

6.3.4.6.2. Market size and forecast, by Type

6.3.4.6.3. Market size and forecast, by End User

6.4. Asia-Pacific

6.4.1. Key trends and opportunities

6.4.2. Market size and forecast, by Type

6.4.3. Market size and forecast, by End User

6.4.4. Market size and forecast, by country

6.4.4.1. China

6.4.4.1.1. Key market trends, growth factors and opportunities

6.4.4.1.2. Market size and forecast, by Type

6.4.4.1.3. Market size and forecast, by End User

6.4.4.2. India

6.4.4.2.1. Key market trends, growth factors and opportunities

6.4.4.2.2. Market size and forecast, by Type

6.4.4.2.3. Market size and forecast, by End User

6.4.4.3. Japan

6.4.4.3.1. Key market trends, growth factors and opportunities

6.4.4.3.2. Market size and forecast, by Type

6.4.4.3.3. Market size and forecast, by End User

6.4.4.4. Australia

6.4.4.4.1. Key market trends, growth factors and opportunities

6.4.4.4.2. Market size and forecast, by Type

6.4.4.4.3. Market size and forecast, by End User

6.4.4.5. South Korea

6.4.4.5.1. Key market trends, growth factors and opportunities

6.4.4.5.2. Market size and forecast, by Type

6.4.4.5.3. Market size and forecast, by End User

6.4.4.6. Rest of Asia-Pacific

6.4.4.6.1. Key market trends, growth factors and opportunities

6.4.4.6.2. Market size and forecast, by Type

6.4.4.6.3. Market size and forecast, by End User

6.5. LAMEA

6.5.1. Key trends and opportunities

6.5.2. Market size and forecast, by Type

6.5.3. Market size and forecast, by End User

6.5.4. Market size and forecast, by country

6.5.4.1. Latin America

6.5.4.1.1. Key market trends, growth factors and opportunities

6.5.4.1.2. Market size and forecast, by Type

6.5.4.1.3. Market size and forecast, by End User

6.5.4.2. Middle East

6.5.4.2.1. Key market trends, growth factors and opportunities

6.5.4.2.2. Market size and forecast, by Type

6.5.4.2.3. Market size and forecast, by End User

6.5.4.3. Africa

6.5.4.3.1. Key market trends, growth factors and opportunities

6.5.4.3.2. Market size and forecast, by Type

6.5.4.3.3. Market size and forecast, by End User

7.1. Introduction

7.2. Top winning strategies

7.3. Product Mapping of Top 10 Player

7.4. Competitive Dashboard

7.5. Competitive Heatmap

7.6. Top player positioning, 2021

8.1. Google LLC

8.1.1. Company overview

8.1.2. Key Executives

8.1.3. Company snapshot

8.1.4. Operating business segments

8.1.5. Product portfolio

8.1.6. Business performance

8.1.7. Key strategic moves and developments

8.2. APPEN LIMITED

8.2.1. Company overview

8.2.2. Key Executives

8.2.3. Company snapshot

8.2.4. Operating business segments

8.2.5. Product portfolio

8.2.6. Business performance

8.2.7. Key strategic moves and developments

8.3. Cogito Tech LLC

8.3.1. Company overview

8.3.2. Key Executives

8.3.3. Company snapshot

8.3.4. Operating business segments

8.3.5. Product portfolio

8.3.6. Key strategic moves and developments

8.4. Lionbridge Technologies, Inc

8.4.1. Company overview

8.4.2. Key Executives

8.4.3. Company snapshot

8.4.4. Operating business segments

8.4.5. Product portfolio

8.4.6. Key strategic moves and developments

8.5. Amazon Web Services Inc.

8.5.1. Company overview

8.5.2. Key Executives

8.5.3. Company snapshot

8.5.4. Operating business segments

8.5.5. Product portfolio

8.5.6. Business performance

8.5.7. Key strategic moves and developments

8.6. Microsoft Corporation

8.6.1. Company overview

8.6.2. Key Executives

8.6.3. Company snapshot

8.6.4. Operating business segments

8.6.5. Product portfolio

8.6.6. Business performance

8.6.7. Key strategic moves and developments

8.7. SCALE AI, INC.

8.7.1. Company overview

8.7.2. Key Executives

8.7.3. Company snapshot

8.7.4. Operating business segments

8.7.5. Product portfolio

8.7.6. Key strategic moves and developments

8.8. Samasource Inc.

8.8.1. Company overview

8.8.2. Key Executives

8.8.3. Company snapshot

8.8.4. Operating business segments

8.8.5. Product portfolio

8.8.6. Key strategic moves and developments

8.9. Alegion

8.9.1. Company overview

8.9.2. Key Executives

8.9.3. Company snapshot

8.9.4. Operating business segments

8.9.5. Product portfolio

8.9.6. Key strategic moves and developments

8.10. Deep Vision Data

8.10.1. Company overview

8.10.2. Key Executives

8.10.3. Company snapshot

8.10.4. Operating business segments

8.10.5. Product portfolio

8.10.6. Key strategic moves and development

LIST OF TABLES

TABLE 01. GLOBAL AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 02. AI TRAINING DATASET MARKET FOR TEXT, BY REGION, 2021-2031 ($MILLION)

TABLE 03. AI TRAINING DATASET MARKET FOR AUDIO, BY REGION, 2021-2031 ($MILLION)

TABLE 04. AI TRAINING DATASET MARKET FOR IMAGE/VIDEO, BY REGION, 2021-2031 ($MILLION)

TABLE 05. GLOBAL AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 06. AI TRAINING DATASET MARKET FOR IT AND TELECOM, BY REGION, 2021-2031 ($MILLION)

TABLE 07. AI TRAINING DATASET MARKET FOR BFSI, BY REGION, 2021-2031 ($MILLION)

TABLE 08. AI TRAINING DATASET MARKET FOR AUTOMOTIVE, BY REGION, 2021-2031 ($MILLION)

TABLE 09. AI TRAINING DATASET MARKET FOR HEALTHCARE, BY REGION, 2021-2031 ($MILLION)

TABLE 10. AI TRAINING DATASET MARKET FOR GOVERNMENT AND DEFENSE, BY REGION, 2021-2031 ($MILLION)

TABLE 11. AI TRAINING DATASET MARKET FOR RETAIL, BY REGION, 2021-2031 ($MILLION)

TABLE 12. AI TRAINING DATASET MARKET FOR OTHERS, BY REGION, 2021-2031 ($MILLION)

TABLE 13. AI TRAINING DATASET MARKET, BY REGION, 2021-2031 ($MILLION)

TABLE 14. NORTH AMERICA AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 15. NORTH AMERICA AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 16. NORTH AMERICA AI TRAINING DATASET MARKET, BY COUNTRY, 2021-2031 ($MILLION)

TABLE 17. U.S. AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 18. U.S. AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 19. CANADA AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 20. CANADA AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 21. EUROPE AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 22. EUROPE AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 23. EUROPE AI TRAINING DATASET MARKET, BY COUNTRY, 2021-2031 ($MILLION)

TABLE 24. UK AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 25. UK AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 26. GERMANY AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 27. GERMANY AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 28. FRANCE AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 29. FRANCE AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 30. ITALY AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 31. ITALY AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 32. SPAIN AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 33. SPAIN AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 34. REST OF EUROPE AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 35. REST OF EUROPE AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 36. ASIA-PACIFIC AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 37. ASIA-PACIFIC AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 38. ASIA-PACIFIC AI TRAINING DATASET MARKET, BY COUNTRY, 2021-2031 ($MILLION)

TABLE 39. CHINA AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 40. CHINA AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 41. INDIA AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 42. INDIA AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 43. JAPAN AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 44. JAPAN AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 45. AUSTRALIA AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 46. AUSTRALIA AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 47. SOUTH KOREA AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 48. SOUTH KOREA AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 49. REST OF ASIA-PACIFIC AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 50. REST OF ASIA-PACIFIC AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 51. LAMEA AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 52. LAMEA AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 53. LAMEA AI TRAINING DATASET MARKET, BY COUNTRY, 2021-2031 ($MILLION)

TABLE 54. LATIN AMERICA AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 55. LATIN AMERICA AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 56. MIDDLE EAST AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 57. MIDDLE EAST AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 58. AFRICA AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)

TABLE 59. AFRICA AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)

TABLE 60. GOOGLE LLC: KEY EXECUTIVES

TABLE 61. GOOGLE LLC: COMPANY SNAPSHOT

TABLE 62. GOOGLE LLC: SERVICE SEGMENTS

TABLE 63. GOOGLE LLC: PRODUCT PORTFOLIO

TABLE 64. GOOGLE LLC: KEY STRATERGIES

TABLE 65. APPEN LIMITED: KEY EXECUTIVES

TABLE 66. APPEN LIMITED: COMPANY SNAPSHOT

TABLE 67. APPEN LIMITED: SERVICE SEGMENTS

TABLE 68. APPEN LIMITED: PRODUCT PORTFOLIO

TABLE 69. APPEN LIMITED: KEY STRATERGIES

TABLE 70. COGITO TECH LLC: KEY EXECUTIVES

TABLE 71. COGITO TECH LLC: COMPANY SNAPSHOT

TABLE 72. COGITO TECH LLC: SERVICE SEGMENTS

TABLE 73. COGITO TECH LLC: PRODUCT PORTFOLIO

TABLE 74. COGITO TECH LLC: KEY STRATERGIES

TABLE 75. LIONBRIDGE TECHNOLOGIES, INC: KEY EXECUTIVES

TABLE 76. LIONBRIDGE TECHNOLOGIES, INC: COMPANY SNAPSHOT

TABLE 77. LIONBRIDGE TECHNOLOGIES, INC: SERVICE SEGMENTS

TABLE 78. LIONBRIDGE TECHNOLOGIES, INC: PRODUCT PORTFOLIO

TABLE 79. LIONBRIDGE TECHNOLOGIES, INC: KEY STRATERGIES

TABLE 80. AMAZON WEB SERVICES INC.: KEY EXECUTIVES

TABLE 81. AMAZON WEB SERVICES INC.: COMPANY SNAPSHOT

TABLE 82. AMAZON WEB SERVICES INC.: SERVICE SEGMENTS

TABLE 83. AMAZON WEB SERVICES INC.: PRODUCT PORTFOLIO

TABLE 84. AMAZON WEB SERVICES INC.: KEY STRATERGIES

TABLE 85. MICROSOFT CORPORATION: KEY EXECUTIVES

TABLE 86. MICROSOFT CORPORATION: COMPANY SNAPSHOT

TABLE 87. MICROSOFT CORPORATION: SERVICE SEGMENTS

TABLE 88. MICROSOFT CORPORATION: PRODUCT PORTFOLIO

TABLE 89. MICROSOFT CORPORATION: KEY STRATERGIES

TABLE 90. SCALE AI, INC.: KEY EXECUTIVES

TABLE 91. SCALE AI, INC.: COMPANY SNAPSHOT

TABLE 92. SCALE AI, INC.: SERVICE SEGMENTS

TABLE 93. SCALE AI, INC.: PRODUCT PORTFOLIO

TABLE 94. SCALE AI, INC.: KEY STRATERGIES

TABLE 95. SAMASOURCE INC.: KEY EXECUTIVES

TABLE 96. SAMASOURCE INC.: COMPANY SNAPSHOT

TABLE 97. SAMASOURCE INC.: SERVICE SEGMENTS

TABLE 98. SAMASOURCE INC.: PRODUCT PORTFOLIO

TABLE 99. SAMASOURCE INC.: KEY STRATERGIES

TABLE 100. ALEGION: KEY EXECUTIVES

TABLE 101. ALEGION: COMPANY SNAPSHOT

TABLE 102. ALEGION: SERVICE SEGMENTS

TABLE 103. ALEGION: PRODUCT PORTFOLIO

TABLE 104. ALEGION: KEY STRATERGIES

TABLE 105. DEEP VISION DATA: KEY EXECUTIVES

TABLE 106. DEEP VISION DATA: COMPANY SNAPSHOT

TABLE 107. DEEP VISION DATA: SERVICE SEGMENTS

TABLE 108. DEEP VISION DATA: PRODUCT PORTFOLIO

TABLE 109. DEEP VISION DATA: KEY STRATERGIES LIST OF FIGURES

FIGURE 01. AI TRAINING DATASET MARKET, 2021-2031

FIGURE 02. SEGMENTATION OF AI TRAINING DATASET MARKET, 2021-2031

FIGURE 03. TOP INVESTMENT POCKETS IN AI TRAINING DATASET MARKET (2022-2031)

FIGURE 04. LOW BARGAINING POWER OF SUPPLIERS

FIGURE 05. LOW BARGAINING POWER OF BUYERS

FIGURE 06. LOW THREAT OF SUBSTITUTES

FIGURE 07. LOW THREAT OF NEW ENTRANTS

FIGURE 08. LOW INTENSITY OF RIVALRY

FIGURE 09. DRIVERS, RESTRAINTS AND OPPORTUNITIES: GLOBALAI TRAINING DATASET MARKET

FIGURE 10. AI TRAINING DATASET MARKET, BY TYPE, 2021(%)

FIGURE 11. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR TEXT, BY COUNTRY 2021 AND 2031(%)

FIGURE 12. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR AUDIO, BY COUNTRY 2021 AND 2031(%)

FIGURE 13. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR IMAGE/VIDEO, BY COUNTRY 2021 AND 2031(%)

FIGURE 14. AI TRAINING DATASET MARKET, BY END USER, 2021(%)

FIGURE 15. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR IT AND TELECOM, BY COUNTRY 2021 AND 2031(%)

FIGURE 16. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR BFSI, BY COUNTRY 2021 AND 2031(%)

FIGURE 17. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR AUTOMOTIVE, BY COUNTRY 2021 AND 2031(%)

FIGURE 18. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR HEALTHCARE, BY COUNTRY 2021 AND 2031(%)

FIGURE 19. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR GOVERNMENT AND DEFENSE, BY COUNTRY 2021 AND 2031(%)

FIGURE 20. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR RETAIL, BY COUNTRY 2021 AND 2031(%)

FIGURE 21. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR OTHERS, BY COUNTRY 2021 AND 2031(%)

FIGURE 22. AI TRAINING DATASET MARKET BY REGION, 2021

FIGURE 23. U.S. AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)

FIGURE 24. CANADA AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)

FIGURE 25. UK AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)

FIGURE 26. GERMANY AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)

FIGURE 27. FRANCE AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)

FIGURE 28. ITALY AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)

FIGURE 29. SPAIN AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)

FIGURE 30. REST OF EUROPE AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)

FIGURE 31. CHINA AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)

FIGURE 32. INDIA AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)

FIGURE 33. JAPAN AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)

FIGURE 34. AUSTRALIA AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)

FIGURE 35. SOUTH KOREA AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)

FIGURE 36. REST OF ASIA-PACIFIC AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)

FIGURE 37. LATIN AMERICA AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)

FIGURE 38. MIDDLE EAST AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)

FIGURE 39. AFRICA AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)

FIGURE 40. TOP WINNING STRATEGIES, BY YEAR

FIGURE 41. TOP WINNING STRATEGIES, BY DEVELOPMENT

FIGURE 42. TOP WINNING STRATEGIES, BY COMPANY

FIGURE 43. PRODUCT MAPPING OF TOP 10 PLAYERS

FIGURE 44. COMPETITIVE DASHBOARD

FIGURE 45. COMPETITIVE HEATMAP: AI TRAINING DATASET MARKET

FIGURE 46. TOP PLAYER POSITIONING, 2021

FIGURE 47. GOOGLE LLC: NET REVENUE, 2020-2022 ($MILLION)

FIGURE 48. APPEN LIMITED: NET REVENUE, 2019-2021 ($MILLION)

FIGURE 49. APPEN LIMITED: REVENUE SHARE BY SEGMENT, 2021 (%)

FIGURE 50. APPEN LIMITED: REVENUE SHARE BY REGION, 2021 (%)

FIGURE 51. AMAZON WEB SERVICES INC.: NET SALES, 2019-2021 ($MILLION)

FIGURE 52. AMAZON WEB SERVICES INC.: REVENUE SHARE BY SEGMENT, 2021 (%)

FIGURE 53. AMAZON WEB SERVICES INC.: REVENUE SHARE BY REGION, 2021 (%)

FIGURE 54. MICROSOFT CORPORATION.: NET REVENUE, 2019-2021 ($MILLION)

FIGURE 55. MICROSOFT CORPORATION.: RESEARCH & DEVELOPMENT EXPENDITURE, 2019-2021 ($MILLION)

FIGURE 56. MICROSOFT CORPORATION.: REVENUE SHARE BY SEGMENT, 2021 (%)

FIGURE 57. MICROSOFT CORPORATION.: REVENUE SHARE BY REGION, 2021 (%