The global market for AI training datasets is projected to expand at a CAGR of 22.5% during the forecast period 2023 and 2031. AI is gaining prominence in numerous industrial applications, including manufacturing, IT, BFSI, retail and e-commerce, and healthcare. In addition to creating opportunities for new entrants, the rising demand for application-specific training data is generating new business opportunities. Artificial Intelligence (AI) is becoming increasingly important to big data, as the technology enables the extraction of high-level and complex abstractions through a hierarchical learning process, necessitating the mining and extraction of meaningful patterns from vast amounts of data.
AI enables machines to acquire knowledge through experience, perform human-like tasks, and adapt to new inputs. These machines are programmed to analyze massive amounts of data and identify patterns in order to complete a specific task. To train these machines, specific datasets are necessary. In order to meet this need, the demand for AI training datasets is increasing. The functionality of machines is entirely dependent on the provided dataset. Therefore, it becomes essential to provide high-quality training datasets. This high-quality dataset improves the performance of artificial intelligence. It also reduces the time needed to prepare data and improves the precision of predictions. Thus, market vendors are also focusing on acquiring companies that can help them improve data quality. For example, in March 2020, Appen Limited, a provider of specialized datasets, announced the acquisition of Figure Eight Inc., a machine-learning platform provider. Using automated tools, the second company transforms unlabeled data into high-quality information. This acquisition will assist the former company in accelerating the production of high-quality data sets. It will also contribute to the improvement of data quality.
Innovation and technological advancement in AI are accelerating the expansion of the market for AI training datasets. For instance, one of the most notable technological advancements is ChatGPT by Open AI, which can reduce the amount of time and resources needed to manually construct enormous datasets. ChatGPT can significantly reduce the time and resources required to generate a large dataset for NLP model training. As a large, unsupervised language model that was trained using GPT-3 technology, ChatGPT can generate human-like writing that can be used as training data for NLP applications. This enables it to rapidly and easily construct a vast and diverse dataset without requiring manual curation or the knowledge required to create a dataset that includes a wide variety of scenarios and situations.
Annotating data with essential information for predicting future outcomes and making decisions strengthens AI. Numerous public and private organizations collect domain-specific data, including data from numerous applications such as national intelligence, fraud detection, marketing, medical informatics, and cybersecurity. Data annotation enables the labeling of unstructured and unsupervised data by continuously improving the precision of each data item.
The main issue with data annotation tools is the precision of the output. Concerns about the output's quality, such as inaccurate data, should be minimized. In certain instances, manual labeling is performed incorrectly, and it can be time-consuming to locate these labels, thereby increasing the cost to the business. With the development of advanced algorithms, it is anticipated that the accuracy of automated AI data training dataset tools will improve, reducing the need for manual annotation and tool costs.
The image/video segment is anticipated to experience the highest CAGR over the forecast period. This is because key players are focusing more on launching new datasets with a growing number of applications. In May 2020, for example, Google LLC, a multinational technology company, announced the launch of a new AI training dataset titled Google-Landmarks-v2 that contains millions of images and thousands of landmarks. Additionally, the business issued two challenges on Kaggle: landmark retrieval 2020 and landmark recognition 2020. These datasets were introduced for image retrieval and instance recognition, as well as for training more robust and effective systems.
Various technology companies on the market are utilizing machine learning to enhance the user experience and develop innovative products. Machine learning technology requires high-quality training data to ensure that ML algorithms are continuously optimized in order to be effective. In addition, high-quality datasets enable IT companies to improve a variety of solutions, including computer vision, crowdsourcing, data analytics, and virtual assistants. These factors contribute to the sector's extensive use of training datasets. In June 2021, for instance, Amazon released a large-scale dataset called Amazon Berkeley Objects to facilitate the development of new AI models for image-based shopping.
Asia-Pacific is the largest contributor to the global market for AI training datasets and is projected to expand at a CAGR of 21.5% over the forecast period. In order to modernize their businesses, businesses in developing nations such as India are significantly increasing their adoption of innovative technologies. In addition, a number of significant players are focusing on expanding their influence in Asia-Pacific. Microsoft, for instance, created the Indoor Location Dataset to collect various data from buildings in Chinese cities, such as the geomagnetic field and indoor Wi-Fi signature. These datasets contribute to the advancement and study of localization, indoor environments, and navigation. Furthermore, Microsoft and other major players are expanding their presence in this religion. It is anticipated that these factors will increase the use of datasets in the region and lead to a substantial increase over the forecast period. As business organizations in India strategize to transform their operations, the rate of adoption of emerging technologies is continuously increasing. In addition, numerous major players are concentrating on expanding their presence in Asia-Pacific. For example, in July 2020, Microsoft released a dataset titled Indoor Location Dataset to collect various information, such as the geomagnetic field, indoor signature of wi-fi, etc., in Chinese city buildings. These datasets are intended to facilitate navigation, indoor space, and localization research and development. In addition to Microsoft, numerous other prominent companies are expanding their presence in this region. These factors are anticipated to increase the usage of datasets in the region, resulting in a high growth rate over the forecast period. The European market is anticipated to experience moderate growth with a significant market share.
The current report comprises of quantitative market estimations for each micro market for every geographical region and qualitative market analysis such as micro and macro environment analysis, market trends, competitive intelligence, segment analysis, porters five force model, top winning strategies, top investment markets, emerging trends and technological analysis, case studies, strategic conclusions and recommendations and other key market insights.
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AI enables machines to acquire knowledge through experience, perform human-like tasks, and adapt to new inputs. These machines are programmed to analyze massive amounts of data and identify patterns in order to complete a specific task. To train these machines, specific datasets are necessary. In order to meet this need, the demand for AI training datasets is increasing. The functionality of machines is entirely dependent on the provided dataset. Therefore, it becomes essential to provide high-quality training datasets. This high-quality dataset improves the performance of artificial intelligence. It also reduces the time needed to prepare data and improves the precision of predictions. Thus, market vendors are also focusing on acquiring companies that can help them improve data quality. For example, in March 2020, Appen Limited, a provider of specialized datasets, announced the acquisition of Figure Eight Inc., a machine-learning platform provider. Using automated tools, the second company transforms unlabeled data into high-quality information. This acquisition will assist the former company in accelerating the production of high-quality data sets. It will also contribute to the improvement of data quality.
Innovation and technological advancement in AI are accelerating the expansion of the market for AI training datasets. For instance, one of the most notable technological advancements is ChatGPT by Open AI, which can reduce the amount of time and resources needed to manually construct enormous datasets. ChatGPT can significantly reduce the time and resources required to generate a large dataset for NLP model training. As a large, unsupervised language model that was trained using GPT-3 technology, ChatGPT can generate human-like writing that can be used as training data for NLP applications. This enables it to rapidly and easily construct a vast and diverse dataset without requiring manual curation or the knowledge required to create a dataset that includes a wide variety of scenarios and situations.
Rapid Development of AI and Learning Machines
The emergence of big data, which necessitates the recording, storage, and analysis of voluminous amounts of data, is anticipated to stimulate the growth of the artificial intelligence market. End-users are more concerned with the need to monitor and improve big data-related computational models. This emphasis is accelerating their adoption of artificial intelligence solutions. Given that annotated data facilitates the training of AI models and machine learning systems in crucial domains such as speech recognition and image recognition, it is anticipated that the adoption of artificial intelligence will substantially increase demand for AI training datasets.Annotating data with essential information for predicting future outcomes and making decisions strengthens AI. Numerous public and private organizations collect domain-specific data, including data from numerous applications such as national intelligence, fraud detection, marketing, medical informatics, and cybersecurity. Data annotation enables the labeling of unstructured and unsupervised data by continuously improving the precision of each data item.
Lack of Adoption of Technology in Developing Regions
In the Asia-Pacific region, substantial restrictions on the protection of personal information are anticipated to limit data collection. In Japan, for example, the Act on the Protection of Personal Information prohibits the transmission of sensitive personal data to unapproved entities or locations. The inaccuracy of data classification hinders the market's growth.The main issue with data annotation tools is the precision of the output. Concerns about the output's quality, such as inaccurate data, should be minimized. In certain instances, manual labeling is performed incorrectly, and it can be time-consuming to locate these labels, thereby increasing the cost to the business. With the development of advanced algorithms, it is anticipated that the accuracy of automated AI data training dataset tools will improve, reducing the need for manual annotation and tool costs.
Increasing Training Dataset Applications in Diverse Industry Verticals
The amount of digital content in the form of photographs and videos has grown exponentially as a result of digital capturing devices, particularly smartphone cameras. Numerous applications, websites, social networks, and other digital channels are collecting and distributing a substantial amount of visual and digital information. Several businesses have used this freely available web content with data annotation to provide clients with more innovative and superior services. Unstructured text records collected as a result of the expanding use of Electronic Health Record (EHR) systems are now one of the most important resources for clinical research. Over the forecast period, these factors are anticipated to generate tremendous growth opportunities for the market.Text Segment Dominates the Market by Type
In 2022, the text segment will account for a market share of 30%. This is due to the widespread use of text datasets in the IT industry for a variety of automation processes, including speech recognition, text classification, and caption generation, among others. Due to the availability of a wide variety of audio datasets, the audio segment is anticipated to have a moderate share. Among them are music datasets, speech datasets, a speech commands dataset, the Multimodal Emotion Lines Dataset (MELD), and environmental audio datasets.The image/video segment is anticipated to experience the highest CAGR over the forecast period. This is because key players are focusing more on launching new datasets with a growing number of applications. In May 2020, for example, Google LLC, a multinational technology company, announced the launch of a new AI training dataset titled Google-Landmarks-v2 that contains millions of images and thousands of landmarks. Additionally, the business issued two challenges on Kaggle: landmark retrieval 2020 and landmark recognition 2020. These datasets were introduced for image retrieval and instance recognition, as well as for training more robust and effective systems.
The IT Segment remains the Dominant Vertical
In 2022, the IT market segment will hold a market share of 33%. The market is segmented by vertical into it, automotive, government, healthcare, BFSI, retail e-commerce, and other segments. In therapy areas such as lifestyle and wellness management, diagnostics, virtual assistants, and wearables, AI in healthcare offers numerous opportunities. Aside from this, AI is utilized in voice-enabled symptom checkers and to enhance organizational workflow. All of these applications necessitate a large dataset to produce precise results. Consequently, the use of datasets will increase, resulting in a high CAGR over the forecast period.Various technology companies on the market are utilizing machine learning to enhance the user experience and develop innovative products. Machine learning technology requires high-quality training data to ensure that ML algorithms are continuously optimized in order to be effective. In addition, high-quality datasets enable IT companies to improve a variety of solutions, including computer vision, crowdsourcing, data analytics, and virtual assistants. These factors contribute to the sector's extensive use of training datasets. In June 2021, for instance, Amazon released a large-scale dataset called Amazon Berkeley Objects to facilitate the development of new AI models for image-based shopping.
North America Remains as the Global Leader
In 2022, North America will account for 35% of the market share. North American market vendors are focusing on the release of new datasets to expedite the adoption of artificial intelligence technology in emerging industries. In September 2020, for instance, Waymo LLC, a subsidiary of Google LLC, released a new dataset for autonomous vehicles. This dataset contains sensor data collected from camera sensors and LiDAR under a variety of driving conditions, including cyclists, pedestrians, and signage. Such developments are driving the market's adoption of datasets, thereby catering to a substantial market share.Asia-Pacific is the largest contributor to the global market for AI training datasets and is projected to expand at a CAGR of 21.5% over the forecast period. In order to modernize their businesses, businesses in developing nations such as India are significantly increasing their adoption of innovative technologies. In addition, a number of significant players are focusing on expanding their influence in Asia-Pacific. Microsoft, for instance, created the Indoor Location Dataset to collect various data from buildings in Chinese cities, such as the geomagnetic field and indoor Wi-Fi signature. These datasets contribute to the advancement and study of localization, indoor environments, and navigation. Furthermore, Microsoft and other major players are expanding their presence in this religion. It is anticipated that these factors will increase the use of datasets in the region and lead to a substantial increase over the forecast period. As business organizations in India strategize to transform their operations, the rate of adoption of emerging technologies is continuously increasing. In addition, numerous major players are concentrating on expanding their presence in Asia-Pacific. For example, in July 2020, Microsoft released a dataset titled Indoor Location Dataset to collect various information, such as the geomagnetic field, indoor signature of wi-fi, etc., in Chinese city buildings. These datasets are intended to facilitate navigation, indoor space, and localization research and development. In addition to Microsoft, numerous other prominent companies are expanding their presence in this region. These factors are anticipated to increase the usage of datasets in the region, resulting in a high growth rate over the forecast period. The European market is anticipated to experience moderate growth with a significant market share.
Market to Consolidate During the Forecast Period
The market is becoming increasingly consolidated as a result of strategic initiatives such as mergers, partnerships, and acquisitions. Key market participants are also concentrating on the release of new datasets. In January 2021, for instance, Vector Space AI, a provider of datasets, collaborated with Elasticsearch B.V., a search company. The former company will provide its users with AI datasets developed in collaboration with the latter. Vectorspace AI has introduced datasets that will be utilized for AI, ML, and data engineering. In a similar fashion, Comet ML Inc. has developed a machine learning platform that aids data scientists in tracking, comparing, deriving meaning from, and optimizing experiments and models throughout the model's entire lifecycle, from training to production. For experiment tracking, data scientists can register code modifications, datasets, experimentation models, and history. The market for AI training datasets is dominated by companies such as Google LLC (Kaggle), Appen Limited, Cogito Tech LLC., Lionbridge Technologies, Inc., Amazon.com, Inc., Microsoft Corporation, Scale AI, Inc., Samasource, Inc., Alegion, Deep Vision Data and others.Historical Forecast Period
This study report represents analysis of each segment from 2021 to 2031 considering 2022 as the base year. Compounded Annual Growth Rate (CAGR) for each of the respective segments estimated for the forecast period of 2023 to 2031.The current report comprises of quantitative market estimations for each micro market for every geographical region and qualitative market analysis such as micro and macro environment analysis, market trends, competitive intelligence, segment analysis, porters five force model, top winning strategies, top investment markets, emerging trends and technological analysis, case studies, strategic conclusions and recommendations and other key market insights.
Research Methodology
The complete research study was conducted in three phases, namely: secondary research, primary research, and expert panel review. key data point that enables the estimation of AI Training Dataset market are as follows:- Research and development budgets of manufacturers and government spending
- Revenues of key companies in the market segment
- Number of end users and consumption volume, price and value.
- Geographical revenues generate by countries considered in the report
- Micro and macro environment factors that are currently influencing the AI Training Dataset market and their expected impact during the forecast period.
Market Segmentation
Type
- Text
- Image/Video
- Audio
End-use
- Automotive
- Driverless Automobiles
- AI Cloud Services
- AI Automotive Insurance
- Driver Monitoring Systems
- Others
- Transport Logistics
- Product Localization and Identification
- Shipment Load Monitoring
- Warehouse Automation and Management
- Defect Inspection and Quality Control
- Others
- Information Technology
- Data Security
- Process Automation
- Building Better Information Systems
- Others
- Healthcare
- Treatment of Rare Diseases
- Virtual Health Assistants
- Management of Medical Records
- Robot-assisted Surgery
- Others
- Banking, financial services and insurance (BFSI)
- Cybersecurity and Fraud Detection
- Online Chatbots
- Tracking Market Trends
- Data Collection and Analysis
- Others
- Retail E-commerce
- Inventory Management and Sales Forecasting
- Automated Customer Service Chatbots
- AI-powered Customer Relationship Management (CRM) Systems
- Visual Search
- Others
- Other End-use Industries
Key questions answered in this report
- What are the key micro and macro environmental factors that are impacting the growth of AI Training Dataset market?
- What are the key investment pockets with respect to product segments and geographies currently and during the forecast period?
- Estimated forecast and market projections up to 2031.
- Which segment accounts for the fastest CAGR during the forecast period?
- Which market segment holds a larger market share and why?
- Are low and middle-income economies investing in the AI Training Dataset market?
- Which is the largest regional market for AI Training Dataset market?
- What are the market trends and dynamics in emerging markets such as Asia Pacific, Latin America, and Middle East Africa?
- Which are the key trends driving AI Training Dataset market growth?
- Who are the key competitors and what are their key strategies to enhance their market presence in the AI Training Dataset market worldwide?
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Table of Contents
1. Preface1.1. Report Description
1.1.1. Purpose of the Report
1.1.2. Target Audience
1.1.3. Key Offerings
1.2. Market Segmentation
1.3. Research Methodology
1.3.1. Phase I - Secondary Research
1.3.2. Phase II - Primary Research
1.3.3. Phase III - Expert Panel Review
1.3.4. Assumptions
1.3.5. Approach Adopted
2. Executive Summary
2.1. Market Snapshot: Global AI Training Dataset Market
2.2. Global AI Training Dataset Market, By Type, 2022 (US$ Million)
2.3. Global AI Training Dataset Market, By End-use, 2022 (US$ Million)
2.4. Global AI Training Dataset Market, By Geography, 2022 (US$ Million)
2.5. Attractive Investment Proposition by Geography, 2022
3. AI Training Dataset Market: Competitive Analysis
3.1. Market Positioning of Key AI Training Dataset Market Vendors
3.2. Strategies Adopted by AI Training Dataset Market Vendors
3.3. Key Industry Strategies
3.4. Tier Analysis 2022 Versus 2031
4. AI Training Dataset Market: Macro Analysis & Market Dynamics
4.1. Introduction
4.2. Global AI Training Dataset Market Value, 2021 - 2031, (US$ Million)
4.3. Market Dynamics
4.3.1. Market Drivers
4.3.2. Market Restraints
4.3.3. Key Challenges
4.3.4. Key Opportunities
4.4. Impact Analysis of Drivers and Restraints
4.5. See-Saw Analysis
5. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
5.1. Market Overview
5.2. Growth & Revenue Analysis: 2022 Versus 2031
5.3. Market Segmentation
5.3.1. Text
5.3.2. Image/Video
5.3.3. Audio
6. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
6.1. Market Overview
6.2. Growth & Revenue Analysis: 2022 Versus 2031
6.3. Market Segmentation
6.3.1. Automotive
6.3.1.1. Driverless Automobiles
6.3.1.2. AI Cloud Services
6.3.1.3. AI Automotive Insurance
6.3.1.4. Driver Monitoring Systems
6.3.1.5. Others
6.3.2. Transport & Logistics
6.3.2.1. Product Localization and Identification
6.3.2.2. Shipment Load Monitoring
6.3.2.3. Warehouse Automation and Management
6.3.2.4. Defect Inspection and Quality Control
6.3.2.5. Others
6.3.3. Information Technology
6.3.3.1. Data Security
6.3.3.2. Process Automation
6.3.3.3. Building Better Information Systems
6.3.3.4. Others
6.3.4. Healthcare
6.3.4.1. Treatment of Rare Diseases
6.3.4.2. Virtual Health Assistants
6.3.4.3. Management of Medical Records
6.3.4.4. Robot-assisted Surgery
6.3.4.5. Others
6.3.5. Banking, financial services and insurance (BFSI)
6.3.5.1. Cybersecurity and Fraud Detection
6.3.5.2. Online Chatbots
6.3.5.3. Tracking Market Trends
6.3.5.4. Data Collection and Analysis
6.3.5.5. Others
6.3.6. Retail & E-commerce
6.3.6.1. Inventory Management and Sales Forecasting
6.3.6.2. Automated Customer Service & Chatbots
6.3.6.3. AI-powered Customer Relationship Management (CRM) Systems
6.3.6.4. Visual Search
6.3.6.5. Others
6.3.7. Other End-use Industries
7. North America AI Training Dataset Market, 2021-2031, USD (Million)
7.1. Market Overview
7.2. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
7.3. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
7.4.AI Training Dataset Market: By Region, 2021-2031, USD (Million)
7.4.1.North America
7.4.1.1. U.S.
7.4.1.1.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
7.4.1.1.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
7.4.1.2. Canada
7.4.1.2.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
7.4.1.2.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
7.4.1.3. Rest of North America
7.4.1.3.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
7.4.1.3.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
8. UK and European Union AI Training Dataset Market, 2021-2031, USD (Million)
8.1. Market Overview
8.2. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
8.3. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
8.4.AI Training Dataset Market: By Region, 2021-2031, USD (Million)
8.4.1.UK and European Union
8.4.1.1. UK
8.4.1.1.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
8.4.1.1.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
8.4.1.2. Germany
8.4.1.2.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
8.4.1.2.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
8.4.1.3. Spain
8.4.1.3.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
8.4.1.3.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
8.4.1.4. Italy
8.4.1.4.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
8.4.1.4.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
8.4.1.5. France
8.4.1.5.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
8.4.1.5.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
8.4.1.6. Rest of Europe
8.4.1.6.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
8.4.1.6.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
9. Asia Pacific AI Training Dataset Market, 2021-2031, USD (Million)
9.1. Market Overview
9.2. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
9.3. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
9.4.AI Training Dataset Market: By Region, 2021-2031, USD (Million)
9.4.1.Asia Pacific
9.4.1.1. China
9.4.1.1.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
9.4.1.1.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
9.4.1.2. Japan
9.4.1.2.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
9.4.1.2.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
9.4.1.3. India
9.4.1.3.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
9.4.1.3.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
9.4.1.4. Australia
9.4.1.4.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
9.4.1.4.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
9.4.1.5. South Korea
9.4.1.5.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
9.4.1.5.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
9.4.1.6. Rest of Asia Pacific
9.4.1.6.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
9.4.1.6.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
10. Latin America AI Training Dataset Market, 2021-2031, USD (Million)
10.1. Market Overview
10.2. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
10.3. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
10.4.AI Training Dataset Market: By Region, 2021-2031, USD (Million)
10.4.1.Latin America
10.4.1.1. Brazil
10.4.1.1.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
10.4.1.1.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
10.4.1.2. Mexico
10.4.1.2.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
10.4.1.2.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
10.4.1.3. Rest of Latin America
10.4.1.3.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
10.4.1.3.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
11. Middle East and Africa AI Training Dataset Market, 2021-2031, USD (Million)
11.1. Market Overview
11.2. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
11.3. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
11.4.AI Training Dataset Market: By Region, 2021-2031, USD (Million)
11.4.1.Middle East and Africa
11.4.1.1. GCC
11.4.1.1.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
11.4.1.1.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
11.4.1.2. Africa
11.4.1.2.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
11.4.1.2.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
11.4.1.3. Rest of Middle East and Africa
11.4.1.3.1. AI Training Dataset Market: By Type, 2021-2031, USD (Million)
11.4.1.3.1. AI Training Dataset Market: By End-use, 2021-2031, USD (Million)
12. Company Profile
12.1. Google LLC (Kaggle)
12.1.1. Company Overview
12.1.2. Financial Performance
12.1.3. Product Portfolio
12.1.4. Strategic Initiatives
12.2. Appen Limited
12.2.1. Company Overview
12.2.2. Financial Performance
12.2.3. Product Portfolio
12.2.4. Strategic Initiatives
12.3. Cogito Tech LLC.
12.3.1. Company Overview
12.3.2. Financial Performance
12.3.3. Product Portfolio
12.3.4. Strategic Initiatives
12.4. Lionbridge Technologies, Inc.
12.4.1. Company Overview
12.4.2. Financial Performance
12.4.3. Product Portfolio
12.4.4. Strategic Initiatives
12.5. Amazon.com, Inc.
12.5.1. Company Overview
12.5.2. Financial Performance
12.5.3. Product Portfolio
12.5.4. Strategic Initiatives
12.6. Microsoft Corporation
12.6.1. Company Overview
12.6.2. Financial Performance
12.6.3. Product Portfolio
12.6.4. Strategic Initiatives
12.7. Scale AI, Inc.
12.7.1. Company Overview
12.7.2. Financial Performance
12.7.3. Product Portfolio
12.7.4. Strategic Initiatives
12.8. Samasource, Inc.
12.8.1. Company Overview
12.8.2. Financial Performance
12.8.3. Product Portfolio
12.8.4. Strategic Initiatives
12.9. Alegion
12.9.1. Company Overview
12.9.2. Financial Performance
12.9.3. Product Portfolio
12.9.4. Strategic Initiatives
12.10. Deep Vision Data
12.10.1. Company Overview
12.10.2. Financial Performance
12.10.3. Product Portfolio
12.10.4. Strategic Initiatives
12.11. Others
12.11.1. Company Overview
12.11.2. Financial Performance
12.11.3. Product Portfolio
12.11.4. Strategic Initiatives
List of Figures
Figure 1 Global AI Training Dataset Market: Market Coverage
Figure 2 Research Methodology and Data Sources
Figure 3 Market Size Estimation - Top Down & Bottom-Up Approach
Figure 4 Global AI Training Dataset Market: Quality Assurance
Figure 5 Global AI Training Dataset Market, By Type, 2022
Figure 6 Global AI Training Dataset Market, By End-use, 2022
Figure 7 Global AI Training Dataset Market, By Geography, 2022
Figure 8 Market Geographical Opportunity Matrix - Global AI Training Dataset Market, 2022
Figure 9 Market Positioning of Key AI Training Dataset Market Players, 2022
Figure 10 Global AI Training Dataset Market - Tier Analysis - Percentage of Revenues by Tier Level, 2022 Versus 2031
Figure 11 Global AI Training Dataset Market, By Type, 2022 Vs 2031, %
Figure 12 Global AI Training Dataset Market, By End-use, 2022 Vs 2031, %
Figure 13 U.S. AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 14 Canada AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 15 Rest of North America AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 16 UK AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 17 Germany AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 18 Spain AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 19 Italy AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 20 France AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 21 Rest of Europe AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 22 China AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 23 Japan AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 24 India AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 25 Australia AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 26 South Korea AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 27 Rest of Asia AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 28 Brazil AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 29 Mexico AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 30 Rest of Latin America AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 31 GCC AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 32 Africa AI Training Dataset Market (US$ Million), 2021 - 2031
Figure 33 Rest of Middle East and Africa AI Training Dataset Market (US$ Million), 2021 - 2031
List of Tables
Table 1 Global AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 2 Global AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 3 Global AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 4 Global AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 5 Global AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 6 Global AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 7 Global AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 8 Global AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 9 North America AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 10 North America AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 11 North America AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 12 North America AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 13 North America AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 14 North America AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 15 North America AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 16 North America AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 17 U.S. AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 18 U.S. AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 19 U.S. AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 20 U.S. AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 21 U.S. AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 22 U.S. AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 23 U.S. AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 24 U.S. AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 25 Canada AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 26 Canada AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 27 Canada AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 28 Canada AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 29 Canada AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 30 Canada AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 31 Canada AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 32 Canada AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 33 Rest of North America AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 34 Rest of North America AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 35 Rest of North America AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 36 Rest of North America AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 37 Rest of North America AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 38 Rest of North America AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 39 Rest of North America AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 40 Rest of North America AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 41 UK and European Union AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 42 UK and European Union AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 43 UK and European Union AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 44 UK and European Union AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 45 UK and European Union AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 46 UK and European Union AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 47 UK and European Union AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 48 UK and European Union AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 49 UK AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 50 UK AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 51 UK AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 52 UK AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 53 UK AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 54 UK AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 55 UK AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 56 UK AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 57 Germany AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 58 Germany AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 59 Germany AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 60 Germany AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 61 Germany AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 62 Germany AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 63 Germany AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 64 Germany AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 65 Spain AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 66 Spain AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 67 Spain AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 68 Spain AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 69 Spain AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 70 Spain AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 71 Spain AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 72 Spain AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 73 Italy AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 74 Italy AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 75 Italy AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 76 Italy AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 77 Italy AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 78 Italy AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 79 Italy AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 80 Italy AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 81 France AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 82 France AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 83 France AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 84 France AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 85 France AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 86 France AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 87 France AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 88 France AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 89 Rest of Europe AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 90 Rest of Europe AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 91 Rest of Europe AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 92 Rest of Europe AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 93 Rest of Europe AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 94 Rest of Europe AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 95 Rest of Europe AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 96 Rest of Europe AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 97 Asia AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 98 Asia AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 99 Asia AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 100 Asia AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 101 Asia AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 102 Asia AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 103 Asia AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 104 Asia AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 105 China AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 106 China AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 107 China AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 108 China AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 109 China AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 110 China AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 111 China AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 112 China AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 113 Japan AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 114 Japan AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 115 Japan AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 116 Japan AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 117 Japan AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 118 Japan AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 119 Japan AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 120 Japan AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 121 India AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 122 India AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 123 India AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 124 India AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 125 India AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 126 India AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 127 India AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 128 India AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 129 Australia AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 130 Australia AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 131 Australia AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 132 Australia AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 133 Australia AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 134 Australia AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 135 Australia AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 136 Australia AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 137 South Korea AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 138 South Korea AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 139 South Korea AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 140 South Korea AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 141 South Korea AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 142 South Korea AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 143 South Korea AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 144 South Korea AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 145 Latin America AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 146 Latin America AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 147 Latin America AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 148 Latin America AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 149 Latin America AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 150 Latin America AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 151 Latin America AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 152 Latin America AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 153 Brazil AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 154 Brazil AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 155 Brazil AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 156 Brazil AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 157 Brazil AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 158 Brazil AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 159 Brazil AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 160 Brazil AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 161 Mexico AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 162 Mexico AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 163 Mexico AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 164 Mexico AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 165 Mexico AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 166 Mexico AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 167 Mexico AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 168 Mexico AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 169 Rest of Latin America AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 170 Rest of Latin America AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 171 Rest of Latin America AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 172 Rest of Latin America AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 173 Rest of Latin America AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 174 Rest of Latin America AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 175 Rest of Latin America AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 176 Rest of Latin America AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 177 Middle East and Africa AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 178 Middle East and Africa AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 179 Middle East and Africa AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 180 Middle East and Africa AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 181 Middle East and Africa AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 182 Middle East and Africa AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 183 Middle East and Africa AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 184 Middle East and Africa AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 185 GCC AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 186 GCC AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 187 GCC AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 188 GCC AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 189 GCC AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 190 GCC AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 191 GCC AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 192 GCC AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 193 Africa AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 194 Africa AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 195 Africa AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 196 Africa AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 197 Africa AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 198 Africa AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 199 Africa AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 200 Africa AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Table 201 Rest of Middle East and Africa AI Training Dataset Market By Type, 2021-2031, USD (Million)
Table 202 Rest of Middle East and Africa AI Training Dataset Market By End-use, 2021-2031, USD (Million)
Table 203 Rest of Middle East and Africa AI Training Dataset Market By Automotive, 2021-2031, USD (Million)
Table 204 Rest of Middle East and Africa AI Training Dataset Market By Transport & Logistics, 2021-2031, USD (Million)
Table 205 Rest of Middle East and Africa AI Training Dataset Market By Information Technology, 2021-2031, USD (Million)
Table 206 Rest of Middle East and Africa AI Training Dataset Market By Healthcare, 2021-2031, USD (Million)
Table 207 Rest of Middle East and Africa AI Training Dataset Market By Banking, financial services and insurance (BFSI), 2021-2031, USD (Million)
Table 208 Rest of Middle East and Africa AI Training Dataset Market By Retail & E-commerce, 2021-2031, USD (Million)
Companies Mentioned
- Google LLC (Kaggle)
- Appen Limited
- Cogito Tech LLC.
- Lionbridge Technologies Inc.
- Amazon.com
- Microsoft Corporation
- Scale AI Inc.
- Samasource Inc.
- Alegion
- Deep Vision Data
