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市場調查報告書
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1717194

人工智慧訓練資料集市場（按資料類型、註釋類型、來源和垂直產業）—2025 年至 2030 年全球預測

AI Training Dataset Market by Data Type, Annotation Type, Source, Vertical - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 182 Pages | 商品交期: 最快1-2個工作天內

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2023年AI訓練資料集市場規模預計為23.5億美元，預計2024年將成長至29.2億美元，複合年成長率為26.41%，預計到2030年將達到121.7億美元。

主要市場統計數據
基準年2023年 23.5億美元
預計2024年 29.2億美元
預測年份 2030 121.7億美元
複合年成長率（%） 26.41%

人工智慧在工業領域的重要性日益增加，開啟了一個數據成為現代商業營運命脈的新時代。在這種動態環境中，用於訓練人工智慧的資料集正在超越傳統格式，包含更豐富、更多樣化的資訊來源。本報告對市場進行了全面的分析，並對多種技術趨勢和不斷變化的市場需求提供了見解。行業專家現在認知到，資料深度和品質對於機器學習模型實現更高的準確性和功能比以往任何時候都更加重要。

隨著各組織加快數位轉型步伐，該研究確定了推動跨領域強大人工智慧解決方案的策略必要事項。透過方法論研究和有據可查的見解，本書揭示了資料編配、進階註釋流程和部署機制如何塑造競爭優勢。全球趨勢分析詳細說明了新興技術和創新資料管理技術如何重新定義市場動態。

投資高品質的人工智慧訓練資料集不再是可有可無的，而是在技術複雜性和策略性業務應用快速發展的環境中保持競爭優勢的必要條件。本報告透過全面檢驗市場促進因素、挑戰和機會，為這一關鍵領域的持續成長鋪平了道路。

變革推動市場演變

近年來，人工智慧訓練資料集的格局發生了巨大變化。新興技術不僅擴大了可用數據的範圍，而且重新定義了收集和管理數據的傳統方法。這種轉變包括深度學習框架的整合、複雜資料註釋工具的演變以及創新演算法，以快速處理和分類大量非結構化資料。

自動化解決方案的快速採用使得將原始資訊轉化為可操作的見解變得更加容易，從而刺激了全行業部署可靠、經濟高效的人工智慧系統的努力。企業目前正在使用進階分析、預測模型和即時資料處理來應對複雜的市場挑戰，同時探索新的產生收入途徑。

該領域的領導者不斷創造創新方法來預測動態市場中的未來需求。隨著傳統界限的重新定義和新規範的建立，企業已經學會採用注重敏捷性和營運彈性的適應性策略。這些革命性的變化正在重塑競爭格局，成功利用下一代工具和技術的組織將獲得顯著的市場佔有率和影響力。

市場區隔推動市場清晰度與機會

人工智慧訓練資料集市場的細分提供了不同市場特徵的關鍵見解，並幫助相關人員應對複雜的行業動態。基於數據類型的分析表明，市場涵蓋頻譜廣泛，從音訊和圖像數據到文字和影片數據，每種數據都為機器學習應用帶來了獨特的機會。同時，基於註釋類型的分割透過比較標記和未標記的資料集提供了清晰度，突顯了資料處理中品質保證的重要性及其與模型準確性的直接相關性。

此外，根據來源，市場研究區分了私人資料集（提供客製化解決方案和受控的資料利用環境）和公共資料集（透過開放取用資源和社群主導的見解促進創新）。最後，各行業垂直領域都出現了清晰的見解，包括汽車和交通、娛樂和媒體、金融和銀行、政府和公共部門、醫療保健和生命科學、製造和工業以及零售和電子商務。每個垂直行業都呈現出獨特的挑戰和成長潛力，指南市場參與企業的策略決策。

這種細緻的細分洞察不僅推動了產品開發和目標行銷，而且還使行業領導者能夠使其策略性舉措與現代市場需求和不斷變化的客戶期望保持一致。

目錄

第1章 引言

第2章調查方法

第3章執行摘要

第4章 市場概述

第5章 市場洞察

  • 市場動態
    • 驅動程式
      • 人工智慧個人化和預測分析的成長正在推動對專門訓練資料集的需求。
      • 各行各業對人工智慧解決方案的需求不斷成長，推動了對大型訓練資料集的需求。
    • 限制因素
      • 由於缺乏多樣化、標記化的資料集，AI 模型的訓練受到阻礙
    • 機會
      • 人工智慧在製造業和供應鏈最佳化中的日益融合正在推動對準確和多樣化營運資料集的需求。
      • 機器學習和深度學習技術的進步正在推動對高品質數據的需求
    • 任務
      • 確保人工智慧訓練資料集收集和使用過程中的資料隱私和安全
  • 市場區隔分析
    • 資料來源：公共資料集在推動開放式人工智慧研究和開發中的作用
    • 資料類型：影像資料對於推動各產業人工智慧物件偵測與模式辨識的重要性
    • 註釋類型：標記資料集在提高人工智慧模型準確性和預測能力方面的作用
    • 產業：金融和銀行業對人工智慧訓練資料集的使用日益增多
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社會
    • 技術的
    • 合法的
    • 環境

6. AI 訓練資料集市場（按資料類型）

  • 音訊數據
  • 影像資料
  • 文字數據
  • 視訊數據

第7章 AI 訓練資料集市場（按註釋類型）

  • 標記資料集
  • 未標記資料集

8. AI 訓練資料集市場（按來源）

  • 私有資料集
  • 公共資料集

第9章 AI 訓練資料集市場（按行業垂直分類）

  • 汽車與運輸
  • 娛樂和媒體
  • 金融與銀行
  • 政府和公共部門
  • 醫療保健和生命科學
  • 製造業和工業
  • 零售與電子商務

10.美洲人工智慧訓練資料集市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

11. 亞太地區人工智慧訓練資料集市場

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

12. 歐洲、中東和非洲人工智慧訓練資料集市場

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第13章競爭格局

  • 2023年市場佔有率分析
  • 2023年FPNV定位矩陣
  • 競爭情境分析
  • 戰略分析與建議

公司名單

  • Amazon Web Services, Inc.
  • Anolytics
  • Appen Limited
  • Automaton AI Infosystem Pvt. Ltd.
  • Clarifai, Inc.
  • Clickworker GmbH
  • Cogito Tech LLC
  • DataClap
  • DataRobot, Inc.
  • Deeply, Inc.
  • Defined.AI
  • Google LLC by Alphabet, Inc.
  • Gretel Labs, Inc.
  • Huawei Technologies Co., Ltd.
  • International Business Machines Corporation
  • Kinetic Vision, Inc.
  • Lionbridge Technologies, LLC
  • Meta Platforms, Inc.
  • Microsoft Corporation
  • Mindtech Global Limited
  • Mostly AI Solutions MP GmbH
  • NVIDIA Corporation
  • Oracle Corporation
  • PIXTA Inc.
  • Samasource Impact Sourcing, Inc.
  • SanctifAI Inc.
  • SAP SE
  • Satellogic Inc.
  • Scale AI, Inc.
  • Snorkel AI, Inc.
  • Sony Group Corporation
  • SuperAnnotate AI, Inc.
  • TagX
  • Wisepl Private Limited
Product Code: MRR-742BD517A2F2

The AI Training Dataset Market was valued at USD 2.35 billion in 2023 and is projected to grow to USD 2.92 billion in 2024, with a CAGR of 26.41%, reaching USD 12.17 billion by 2030.

KEY MARKET STATISTICS
Base Year [2023] USD 2.35 billion
Estimated Year [2024] USD 2.92 billion
Forecast Year [2030] USD 12.17 billion
CAGR (%) 26.41%

The growing prominence of artificial intelligence across industrial sectors has ushered in a new era where data becomes the lifeblood of modern business operations. In this dynamic environment, datasets for training AI are evolving beyond conventional formats to include richer, more diverse sources of information. This report provides a comprehensive analysis of the market, offering insights into several technological trends and evolving market needs. Industry experts now recognize that the depth and quality of data have never been more critical for machine learning models to achieve better accuracy and functionality.

As organizations accelerate their digital transformation efforts, this study lays out the strategic imperatives that drive robust AI solutions across various domains. Methodical research and well-documented insights presented herein reveal how data orchestration, advanced annotation processes, and deployment mechanisms shape competitive advantage. By drawing from worldwide trends, the analysis details how emerging technologies and innovative data management techniques are redefining market dynamics.

Investing in quality AI training datasets is no longer optional but essential for maintaining a competitive edge in a landscape that is rapidly evolving, both in its technological sophistication and its strategic business applications. The report sets the stage by thoroughly examining market drivers, emerging challenges, and opportunities that pave the way for sustainable growth in this pivotal sector.

Transformative Shifts Driving Market Evolution

Recent years have witnessed dramatic shifts in the AI training dataset landscape. Cutting-edge technologies have not only expanded the range of available data but have also redefined traditional data collection and curation methods. These transformative shifts include the integration of deep learning frameworks, the evolution of sophisticated data annotation tools, and innovative algorithms that rapidly process and classify large volumes of unstructured data.

The rapid adoption of automated solutions has streamlined the conversion of raw information into actionable insights, intensifying efforts across industries to deploy AI systems that are both reliable and cost-effective. Businesses are now leveraging advanced analytics, predictive modeling, and real-time data processing to address complex market challenges while simultaneously exploring new avenues for revenue generation.

Innovative practices continue to emerge as leaders in the field anticipate the future needs of a market that is inherently dynamic. As traditional boundaries are redefined and new standards are established, enterprises have learned to implement adaptive strategies focused on agility and operational resilience. These evolutionary changes are reshaping the competitive landscape, ensuring that organizations that successfully harness next-generation tools and methodologies stand to gain significant market share and influence.

Segmentation Driving Market Clarity and Opportunity

The segmentation of the AI training dataset market provides critical insights into diverse market characteristics and helps stakeholders navigate complex industry dynamics. Analysis rooted in data type reveals that the market encompasses a spectrum ranging from audio data and image data to text data and video data, each unlocking distinct opportunities in machine learning applications. Alongside this, the segmentation based on annotation type provides clarity through the comparison between labeled datasets and unlabeled datasets, emphasizing the importance of quality assurance in data processing and its direct link to model accuracy.

In addition, market studies based on source distinguish between private datasets, which offer tailored solutions and controlled environments for data usage, and public datasets, which foster innovation through open-access resources and community-driven insights. Lastly, the market is further segmented based on vertical, with distinct insights emerging from diverse industries such as automotive and transportation, entertainment and media, finance and banking, government and public sector, healthcare and life sciences, manufacturing and industrial, and retail and e-commerce. Each vertical presents unique challenges and growth potentials, thereby guiding strategic decisions for market participants.

These nuanced segmentation insights not only drive product development and targeted marketing but also empower industry leaders to align strategic initiatives with contemporary market requirements and evolving customer expectations.

Based on Data Type, market is studied across Audio Data, Image Data, Text Data, and Video Data.

Based on Annotation Type, market is studied across Labeled Datasets and Unlabeled Datasets.

Based on Source, market is studied across Private Datasets and Public Datasets.

Based on Vertical, market is studied across Automotive & Transportation, Entertainment & Media, Finance & Banking, Government & Public Sector, Healthcare & Life Sciences, Manufacturing & Industrial, and Retail & E-commerce.

Regional Market Dynamics and Growth Opportunities

A regional analysis highlights the varied dynamics that characterize the global AI training dataset market. In the Americas, cutting-edge innovation and competitive pressure have spurred a robust demand for advanced datasets that underpin high-performance AI models. This region is noted for its rapid adoption of technology, significant investments, and a strong base of startups and established enterprises committed to digital transformation.

Across Europe, the Middle East, and Africa, regulatory frameworks, alongside a unique blend of traditional industries and technological prowess, have set the stage for sustainable growth. Here, data privacy and ethical considerations play a central role in shaping market practices while encouraging investment in secure and compliant data solutions.

The Asia-Pacific region continues to emerge as a powerhouse with substantial growth potential. Leveraging its vast talent pool and technology-driven economic strategies, this region is investing in state-of-the-art data infrastructure and innovative AI applications. The confluence of these regional insights underscores the varied yet interconnected trends driving the global market and highlights how localized strategies must be tailored to address specific regional challenges and opportunities.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, Indiana, Massachusetts, Nevada, New Jersey, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Influential Companies Shaping the Market Landscape

The market features a diverse array of influential companies that are at the forefront of AI dataset innovation. Industry leaders such as Amazon Web Services, Inc., Google LLC by Alphabet, Inc., Microsoft Corporation, and NVIDIA Corporation have established themselves as pioneers through their relentless focus on quality, scalability, and technological advancement. Smaller yet highly innovative firms including Anolytics, Appen Limited, Automaton AI Infosystem Pvt. Ltd., and Clarifai, Inc. also contribute significantly by offering specialized solutions and agile services to meet niche market requirements.

Additional prominent players such as Clickworker GmbH, Cogito Tech LLC, DataClap, DataRobot, Inc., Deeply, Inc., Defined.AI, Gretel Labs, Inc., Huawei Technologies Co., Ltd., and International Business Machines Corporation bring diverse expertise and complementary skills to the table. Their innovative approaches are further enriched by contributions from Kinetic Vision, Inc., Lionbridge Technologies, LLC, Meta Platforms, Inc., Mindtech Global Limited, Mostly AI Solutions MP GmbH, Oracle Corporation, and PIXTA Inc.

These organizations, among others like Samasource Impact Sourcing, Inc., SanctifAI Inc., SAP SE, Satellogic Inc., Scale AI, Inc., Snorkel AI, Inc., Sony Group Corporation, SuperAnnotate AI, Inc., TagX, and Wisepl Private Limited, are collectively driving the market forward. Their strategic initiatives, coupled with continuous investments in research and development, ensure that the AI training dataset market remains robust, innovative, and responsive to the evolving needs of a rapidly changing technology landscape.

The report delves into recent significant developments in the AI Training Dataset Market, highlighting leading vendors and their innovative profiles. These include Amazon Web Services, Inc., Anolytics, Appen Limited, Automaton AI Infosystem Pvt. Ltd., Clarifai, Inc., Clickworker GmbH, Cogito Tech LLC, DataClap, DataRobot, Inc., Deeply, Inc., Defined.AI, Google LLC by Alphabet, Inc., Gretel Labs, Inc., Huawei Technologies Co., Ltd., International Business Machines Corporation, Kinetic Vision, Inc., Lionbridge Technologies, LLC, Meta Platforms, Inc., Microsoft Corporation, Mindtech Global Limited, Mostly AI Solutions MP GmbH, NVIDIA Corporation, Oracle Corporation, PIXTA Inc., Samasource Impact Sourcing, Inc., SanctifAI Inc., SAP SE, Satellogic Inc., Scale AI, Inc., Snorkel AI, Inc., Sony Group Corporation, SuperAnnotate AI, Inc., TagX, and Wisepl Private Limited. Actionable Recommendations for Sustained Market Leadership

For industry leaders seeking to maintain a competitive edge in the evolving AI training dataset market, several actionable strategies come to the forefront. First and foremost, investing in state-of-the-art data annotation and curation technologies can yield significant improvements in model accuracy and reliability. Businesses should champion a data-first approach, ensuring that investments in infrastructure and workforce capabilities are aligned with long-term strategic objectives.

Organizations must also consider diversifying their portfolio of data sources by balancing the benefits of private and public datasets. This dual approach allows for enhanced customization while leveraging community-driven innovation. Furthermore, clarity in segmentation-whether based on data type, annotation type, or vertical application-facilitates targeted research and development initiatives. Enterprises that invest in understanding specific market segments are better positioned to forecast trends and create tailored solutions.

Enhancing strategic partnerships is another critical recommendation. Collaborating with industry leaders and specialized vendors can drive holistic improvements from data collection to deployment. It is imperative to foster an agile innovation ecosystem that continuously adapts to regulatory, technological, and customer-driven changes. In today's fast-paced market, leaders who proactively adopt these measures, integrate scalable technologies, and emphasize quality stand to achieve lasting market dominance.

Executive Summary Conclusion

In conclusion, the AI training dataset market is witnessing an era of transformative change driven by technological innovation and rigorous segmentation. With the market booming in terms of both regional and vertical expansion, companies must continuously adapt to the evolving landscape by investing in quality datasets and innovative data management solutions. The insights provided in this report underline the importance of a strategic approach to harnessing opportunities and ensuring sustainable growth.

Furthermore, the synthesis of segmentation, regional dynamics, and key industry players presents a comprehensive view that can guide strategic decision-making in a competitive marketplace. By adapting to current trends and leveraging technological advancements, businesses can build a foundation that supports long-term success and market leadership.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Growth of AI-powered personalization and predictive analytics boosting demand for specialized training datasets
      • 5.1.1.2. Rising demand for AI solutions across various sectors increasing the need for large training datasets
    • 5.1.2. Restraints
      • 5.1.2.1. Limited availability of labeled and diverse datasets hindering AI model training
    • 5.1.3. Opportunities
      • 5.1.3.1. Increasing integration of AI in manufacturing and supply chain optimization creating demand for accurate and diverse operational datasets
      • 5.1.3.2. Advancement in machine learning and deep learning techniques enhancing the need for high-quality data
    • 5.1.4. Challenges
      • 5.1.4.1. Ensuring data privacy and security while collecting and using AI training datasets
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Source: Role of public datasets in advancing open AI research and development
    • 5.2.2. Data Type: Significance of image data in enhancing AI-driven object detection and pattern recognition across industries
    • 5.2.3. Annotation Type: Role of labeled datasets in enhancing AI model accuracy and predictive power
    • 5.2.4. Vertical: Growing use of AI training dataset in finance & banking sector
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. AI Training Dataset Market, by Data Type

  • 6.1. Introduction
  • 6.2. Audio Data
  • 6.3. Image Data
  • 6.4. Text Data
  • 6.5. Video Data

7. AI Training Dataset Market, by Annotation Type

  • 7.1. Introduction
  • 7.2. Labeled Datasets
  • 7.3. Unlabeled Datasets

8. AI Training Dataset Market, by Source

  • 8.1. Introduction
  • 8.2. Private Datasets
  • 8.3. Public Datasets

9. AI Training Dataset Market, by Vertical

  • 9.1. Introduction
  • 9.2. Automotive & Transportation
  • 9.3. Entertainment & Media
  • 9.4. Finance & Banking
  • 9.5. Government & Public Sector
  • 9.6. Healthcare & Life Sciences
  • 9.7. Manufacturing & Industrial
  • 9.8. Retail & E-commerce

10. Americas AI Training Dataset Market

  • 10.1. Introduction
  • 10.2. Argentina
  • 10.3. Brazil
  • 10.4. Canada
  • 10.5. Mexico
  • 10.6. United States

11. Asia-Pacific AI Training Dataset Market

  • 11.1. Introduction
  • 11.2. Australia
  • 11.3. China
  • 11.4. India
  • 11.5. Indonesia
  • 11.6. Japan
  • 11.7. Malaysia
  • 11.8. Philippines
  • 11.9. Singapore
  • 11.10. South Korea
  • 11.11. Taiwan
  • 11.12. Thailand
  • 11.13. Vietnam

12. Europe, Middle East & Africa AI Training Dataset Market

  • 12.1. Introduction
  • 12.2. Denmark
  • 12.3. Egypt
  • 12.4. Finland
  • 12.5. France
  • 12.6. Germany
  • 12.7. Israel
  • 12.8. Italy
  • 12.9. Netherlands
  • 12.10. Nigeria
  • 12.11. Norway
  • 12.12. Poland
  • 12.13. Qatar
  • 12.14. Russia
  • 12.15. Saudi Arabia
  • 12.16. South Africa
  • 12.17. Spain
  • 12.18. Sweden
  • 12.19. Switzerland
  • 12.20. Turkey
  • 12.21. United Arab Emirates
  • 12.22. United Kingdom

13. Competitive Landscape

  • 13.1. Market Share Analysis, 2023
  • 13.2. FPNV Positioning Matrix, 2023
  • 13.3. Competitive Scenario Analysis
    • 13.3.1. India to democratize AI development with the launch of the IndiaAI Datasets Platform by 2025
    • 13.3.2. National Geospatial-Intelligence Agency launches USD 708 million Sequoia initiative to enhance AI-driven GEOINT capabilities
    • 13.3.3. Jhana.ai secures USD 1.6 million in seed funding to innovate AI-driven paralegal solutions and develop proprietary legal datasets
    • 13.3.4. Collaborative launch of cutting-edge health and wellness AI dataset to transform mental health solutions
    • 13.3.5. Skild AI transforms robotics with USD 300 million Series A funding to pioneer scalable, adaptive AI models
    • 13.3.6. OpenAI collaborates with Time magazine to strengthen AI models by accessing a century of historical data for enhanced contextual understanding
    • 13.3.7. Formation of the dataset providers alliance amidst copyright challenges
    • 13.3.8. Scale AI's USD 1 billion funding milestone signals significant investment momentum and growth in data-labeling for AI advancement
    • 13.3.9. DatologyAI's USD 46 million Series A funding aims to transform AI model training with innovative data curation platform
    • 13.3.10. Satellogic opens 6 million-image dataset to accelerate AI advancements in real-time Earth observation
  • 13.4. Strategy Analysis & Recommendation
    • 13.4.1. International Business Machines Corporation
    • 13.4.2. Google LLC by Alphabet, Inc.
    • 13.4.3. Appen Limited
    • 13.4.4. Amazon Web Services, Inc.

Companies Mentioned

  • 1. Amazon Web Services, Inc.
  • 2. Anolytics
  • 3. Appen Limited
  • 4. Automaton AI Infosystem Pvt. Ltd.
  • 5. Clarifai, Inc.
  • 6. Clickworker GmbH
  • 7. Cogito Tech LLC
  • 8. DataClap
  • 9. DataRobot, Inc.
  • 10. Deeply, Inc.
  • 11. Defined.AI
  • 12. Google LLC by Alphabet, Inc.
  • 13. Gretel Labs, Inc.
  • 14. Huawei Technologies Co., Ltd.
  • 15. International Business Machines Corporation
  • 16. Kinetic Vision, Inc.
  • 17. Lionbridge Technologies, LLC
  • 18. Meta Platforms, Inc.
  • 19. Microsoft Corporation
  • 20. Mindtech Global Limited
  • 21. Mostly AI Solutions MP GmbH
  • 22. NVIDIA Corporation
  • 23. Oracle Corporation
  • 24. PIXTA Inc.
  • 25. Samasource Impact Sourcing, Inc.
  • 26. SanctifAI Inc.
  • 27. SAP SE
  • 28. Satellogic Inc.
  • 29. Scale AI, Inc.
  • 30. Snorkel AI, Inc.
  • 31. Sony Group Corporation
  • 32. SuperAnnotate AI, Inc.
  • 33. TagX
  • 34. Wisepl Private Limited

LIST OF FIGURES

  • FIGURE 1. AI TRAINING DATASET MARKET MULTI-CURRENCY
  • FIGURE 2. AI TRAINING DATASET MARKET MULTI-LANGUAGE
  • FIGURE 3. AI TRAINING DATASET MARKET RESEARCH PROCESS
  • FIGURE 4. AI TRAINING DATASET MARKET SIZE, 2023 VS 2030
  • FIGURE 5. GLOBAL AI TRAINING DATASET MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 6. GLOBAL AI TRAINING DATASET MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 7. GLOBAL AI TRAINING DATASET MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2023 VS 2030 (%)
  • FIGURE 9. GLOBAL AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2023 VS 2030 (%)
  • FIGURE 11. GLOBAL AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2023 VS 2030 (%)
  • FIGURE 13. GLOBAL AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 14. GLOBAL AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2023 VS 2030 (%)
  • FIGURE 15. GLOBAL AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 16. AMERICAS AI TRAINING DATASET MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 17. AMERICAS AI TRAINING DATASET MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 18. UNITED STATES AI TRAINING DATASET MARKET SIZE, BY STATE, 2023 VS 2030 (%)
  • FIGURE 19. UNITED STATES AI TRAINING DATASET MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 20. ASIA-PACIFIC AI TRAINING DATASET MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 21. ASIA-PACIFIC AI TRAINING DATASET MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 22. EUROPE, MIDDLE EAST & AFRICA AI TRAINING DATASET MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 23. EUROPE, MIDDLE EAST & AFRICA AI TRAINING DATASET MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 24. AI TRAINING DATASET MARKET SHARE, BY KEY PLAYER, 2023
  • FIGURE 25. AI TRAINING DATASET MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

  • TABLE 1. AI TRAINING DATASET MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL AI TRAINING DATASET MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL AI TRAINING DATASET MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL AI TRAINING DATASET MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. AI TRAINING DATASET MARKET DYNAMICS
  • TABLE 7. GLOBAL AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL AI TRAINING DATASET MARKET SIZE, BY AUDIO DATA, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL AI TRAINING DATASET MARKET SIZE, BY IMAGE DATA, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL AI TRAINING DATASET MARKET SIZE, BY TEXT DATA, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL AI TRAINING DATASET MARKET SIZE, BY VIDEO DATA, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL AI TRAINING DATASET MARKET SIZE, BY LABELED DATASETS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL AI TRAINING DATASET MARKET SIZE, BY UNLABELED DATASETS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL AI TRAINING DATASET MARKET SIZE, BY PRIVATE DATASETS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL AI TRAINING DATASET MARKET SIZE, BY PUBLIC DATASETS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL AI TRAINING DATASET MARKET SIZE, BY AUTOMOTIVE & TRANSPORTATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL AI TRAINING DATASET MARKET SIZE, BY ENTERTAINMENT & MEDIA, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL AI TRAINING DATASET MARKET SIZE, BY FINANCE & BANKING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL AI TRAINING DATASET MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL AI TRAINING DATASET MARKET SIZE, BY HEALTHCARE & LIFE SCIENCES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL AI TRAINING DATASET MARKET SIZE, BY MANUFACTURING & INDUSTRIAL, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL AI TRAINING DATASET MARKET SIZE, BY RETAIL & E-COMMERCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 26. AMERICAS AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 27. AMERICAS AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 28. AMERICAS AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 29. AMERICAS AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 30. AMERICAS AI TRAINING DATASET MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 31. ARGENTINA AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 32. ARGENTINA AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 33. ARGENTINA AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 34. ARGENTINA AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 35. BRAZIL AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 36. BRAZIL AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 37. BRAZIL AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 38. BRAZIL AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 39. CANADA AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 40. CANADA AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 41. CANADA AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 42. CANADA AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 43. MEXICO AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 44. MEXICO AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 45. MEXICO AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 46. MEXICO AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 47. UNITED STATES AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 48. UNITED STATES AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 49. UNITED STATES AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 50. UNITED STATES AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 51. UNITED STATES AI TRAINING DATASET MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 52. ASIA-PACIFIC AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 53. ASIA-PACIFIC AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 54. ASIA-PACIFIC AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 55. ASIA-PACIFIC AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 56. ASIA-PACIFIC AI TRAINING DATASET MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 57. AUSTRALIA AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 58. AUSTRALIA AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 59. AUSTRALIA AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 60. AUSTRALIA AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 61. CHINA AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 62. CHINA AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 63. CHINA AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 64. CHINA AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 65. INDIA AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 66. INDIA AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 67. INDIA AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 68. INDIA AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 69. INDONESIA AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 70. INDONESIA AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 71. INDONESIA AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 72. INDONESIA AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 73. JAPAN AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 74. JAPAN AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 75. JAPAN AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 76. JAPAN AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 77. MALAYSIA AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 78. MALAYSIA AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 79. MALAYSIA AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 80. MALAYSIA AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 81. PHILIPPINES AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 82. PHILIPPINES AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 83. PHILIPPINES AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 84. PHILIPPINES AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 85. SINGAPORE AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 86. SINGAPORE AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 87. SINGAPORE AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 88. SINGAPORE AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 89. SOUTH KOREA AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 90. SOUTH KOREA AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 91. SOUTH KOREA AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 92. SOUTH KOREA AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 93. TAIWAN AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 94. TAIWAN AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 95. TAIWAN AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 96. TAIWAN AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 97. THAILAND AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 98. THAILAND AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 99. THAILAND AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 100. THAILAND AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 101. VIETNAM AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 102. VIETNAM AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 103. VIETNAM AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 104. VIETNAM AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 105. EUROPE, MIDDLE EAST & AFRICA AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 106. EUROPE, MIDDLE EAST & AFRICA AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 107. EUROPE, MIDDLE EAST & AFRICA AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 108. EUROPE, MIDDLE EAST & AFRICA AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 109. EUROPE, MIDDLE EAST & AFRICA AI TRAINING DATASET MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 110. DENMARK AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 111. DENMARK AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 112. DENMARK AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 113. DENMARK AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 114. EGYPT AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 115. EGYPT AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 116. EGYPT AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 117. EGYPT AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 118. FINLAND AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 119. FINLAND AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 120. FINLAND AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 121. FINLAND AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 122. FRANCE AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 123. FRANCE AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 124. FRANCE AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 125. FRANCE AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 126. GERMANY AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 127. GERMANY AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 128. GERMANY AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 129. GERMANY AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 130. ISRAEL AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 131. ISRAEL AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 132. ISRAEL AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 133. ISRAEL AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 134. ITALY AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 135. ITALY AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 136. ITALY AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 137. ITALY AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 138. NETHERLANDS AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 139. NETHERLANDS AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 140. NETHERLANDS AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 141. NETHERLANDS AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 142. NIGERIA AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 143. NIGERIA AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 144. NIGERIA AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 145. NIGERIA AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 146. NORWAY AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 147. NORWAY AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 148. NORWAY AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 149. NORWAY AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 150. POLAND AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 151. POLAND AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 152. POLAND AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 153. POLAND AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 154. QATAR AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 155. QATAR AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 156. QATAR AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 157. QATAR AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 158. RUSSIA AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 159. RUSSIA AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 160. RUSSIA AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 161. RUSSIA AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 162. SAUDI ARABIA AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 163. SAUDI ARABIA AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 164. SAUDI ARABIA AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 165. SAUDI ARABIA AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 166. SOUTH AFRICA AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 167. SOUTH AFRICA AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 168. SOUTH AFRICA AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 169. SOUTH AFRICA AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 170. SPAIN AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 171. SPAIN AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 172. SPAIN AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 173. SPAIN AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 174. SWEDEN AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 175. SWEDEN AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 176. SWEDEN AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 177. SWEDEN AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 178. SWITZERLAND AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 179. SWITZERLAND AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 180. SWITZERLAND AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 181. SWITZERLAND AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 182. TURKEY AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 183. TURKEY AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 184. TURKEY AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 185. TURKEY AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 186. UNITED ARAB EMIRATES AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 187. UNITED ARAB EMIRATES AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 188. UNITED ARAB EMIRATES AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 189. UNITED ARAB EMIRATES AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 190. UNITED KINGDOM AI TRAINING DATASET MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 191. UNITED KINGDOM AI TRAINING DATASET MARKET SIZE, BY ANNOTATION TYPE, 2018-2030 (USD MILLION)
  • TABLE 192. UNITED KINGDOM AI TRAINING DATASET MARKET SIZE, BY SOURCE, 2018-2030 (USD MILLION)
  • TABLE 193. UNITED KINGDOM AI TRAINING DATASET MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 194. AI TRAINING DATASET MARKET SHARE, BY KEY PLAYER, 2023
  • TABLE 195. AI TRAINING DATASET MARKET, FPNV POSITIONING MATRIX, 2023