일본과 해외의 조사회사나 출판사로부터 출판된 산업 조사 보고서 및 데이터 판매 · 연간 서비스 · 맞춤 정보 제공 ChosaReport-Korea 주식회사 SEMABIZ

세계 AI 학습 데이터 세트 시장 예측 2024-2032년

조사회사 : Inkwood Research (잉크우드 리서치)  출판년월 : 2024년4월

GLOBAL AI TRAINING DATASET MARKET FORECAST 2024-2032

세계 AI 학습 데이터 세트 시장 예측 2024-2032년
Global AI Training Dataset Market by Type (Text, Image/video, Audio) Market by Vertical (IT, Automotive, Government, Healthcare, BFSI, Retail & E-commerce, Other Verticals) by Geography

페이지 수 293
도표 수 81
가격  
Single User License USD 2,900
Corporate License USD 4,500
구성 영문조사보고서

    주문/문의    조사회사/라이센스/납기안내

Report Overview

KEY FINDINGS
The global AI training dataset market is estimated to progress with a CAGR of 23.62% during the forecast period 2024-2032.

전 세계 AI 학습 데이터 세트 시장은 2024년에서 2032년 사이의 예측 기간 동안 23.62%의 CAGR로 성장할 것으로 추정됩니다.

Some of the key drivers propelling the growth of the market include the surge in AI applications across several industries, developments in artificial intelligence (AI) as well as machine learning (ML) technologies, and the increasing need for data labeling and annotation.

 

세계 AI 학습 데이터 세트 시장 예측 2024-2032년

MARKET INSIGHTS
Advancements in artificial intelligence (AI) and machine learning (ML) technologies are propelling the exponential growth of the global AI training dataset market. As AI and ML systems become more sophisticated and pervasive across various industries, the demand for high-quality training data has surged. Companies are increasingly investing in diverse and expansive datasets to train their algorithms effectively. This growing reliance on data-driven decision-making and automation fuels the expansion of the AI training dataset market.
Moreover, the expansion of AI applications into new domains such as healthcare, automotive, retail, and finance amplifies the need for specialized and annotated datasets tailored to specific tasks. This demand for domain-specific datasets further drives the growth of the market. Additionally, the emergence of synthetic data generation techniques and crowdsourcing platforms facilitates the creation of large-scale datasets, catering to the diverse requirements of AI and ML models. These technological advancements not only enhance the quality and diversity of training data but also contribute to the market’s expansion.
Furthermore, the increasing adoption of AI and ML technologies by small and medium-sized enterprises (SMEs) further accelerates the growth of the AI training dataset market. As SMEs recognize the potential benefits of AI in improving efficiency, productivity, and customer experience, they seek accessible and affordable training datasets to develop and deploy their AI solutions. Consequently, the market witnesses a proliferation of vendors offering diverse datasets and data annotation services, catering to the evolving needs of businesses across different sectors.

REGIONAL INSIGHTS
The global AI training dataset market growth evaluation encompasses the geographical analysis of Asia-Pacific, Europe, North America, and Rest of World. North America is set to emerge as a prominent region in the global market, fueled by several key factors.
Advanced infrastructure, including widespread access to high-performance computing resources and cloud platforms, is pivotal in North America’s AI training dataset market. These resources facilitate efficient data storage, processing, and model training, empowering organizations to handle large data volumes and expedite AI development projects.

REPORT SYNOPSIS

REPORT SCOPE DETAILS
Market Forecast Years 2024-2032
Base Year 2023
Market Historical Years 2018-2022
Forecast Units

Revenue ($ Million)

Segments Analyzed Type and Vertical
Geographies Analyzed North America, Europe, Asia-Pacific, and Rest of World
Companies Analyzed Google LLC, Appen Ltd, Alegion, Amazon Web Services Inc, Microsoft Corporation, Oracle Corporation, Cogito Tech LLC, Deep Vision Data, Cognizant, Deeply Inc, Clickworker, Scale AI, Spacemaker AI, Salesforce, Lionbridge Technologies Inc

COMPETITIVE INSIGHTS
The global AI training dataset market is fiercely competitive, with numerous players vying for market share. Established companies, startups, and data annotation service providers compete to offer diverse, high-quality datasets tailored to specific AI and ML applications.
Strategic partnerships, mergers, and acquisitions are common strategies employed by players to expand their offerings and reach in this dynamic market. Furthermore, key players operating in the market include Oracle Corporation, Cogito Tech LLC, Deep Vision Data, Cognizant, etc.
Our report offerings include:
• Explore key findings of the overall market
• Strategic breakdown of market dynamics (Drivers, Restraints, Opportunities, Challenges)
• Market forecasts for a minimum of 9 years, along with 3 years of historical data for all segments, sub-segments, and regions
• Market Segmentation caters to a thorough assessment of key segments with their market estimations
• Geographical Analysis: Assessments of the mentioned regions and country-level segments with their market share
• Key analytics: Porter’s Five Forces Analysis, Vendor Landscape, Opportunity Matrix, Key Buying Criteria, etc.
• Competitive landscape is the theoretical explanation of the key companies based on factors, market share, etc.
• Company profiling: A detailed company overview, product/services offered, SCOT analysis, and recent strategic developments

Table of Contents

TABLE OF CONTENTS
1. RESEARCH SCOPE & METHODOLOGY
1.1. STUDY OBJECTIVES
1.2. METHODOLOGY
1.3. ASSUMPTIONS & LIMITATIONS
2. EXECUTIVE SUMMARY
2.1. MARKET SIZE & ESTIMATES
2.2. MARKET OVERVIEW
2.3. SCOPE OF STUDY
2.4. CRISIS SCENARIO ANALYSIS
2.4.1. IMPACT OF COVID-19 ON AI TRAINING DATASET MARKET
2.5. MAJOR MARKET FINDINGS
2.5.1. GROWING IMPORTANCE OF DATA GOVERNANCE AND COMPLIANCE
2.5.2. AWARENESS ABOUT THE IMPORTANCE OF HIGH-QUALITY TRAINING DATA
3. MARKET DYNAMICS
3.1. KEY DRIVERS
3.1.1. RISE IN AI APPLICATIONS ACROSS SEVERAL INDUSTRIES
3.1.2. ADVANCEMENTS IN ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML) TECHNOLOGIES
3.1.3. GROWING NEED FOR DATA LABELLING AND ANNOTATION
3.2. KEY RESTRAINTS
3.2.1. DATA PRIVACY AND SECURITY CONCERNS
3.2.2. COMPLEXITY OF DATA SOURCES
3.2.3. LIMITED AVAILABILITY OF HIGH-QUALITY DATA
4. KEY ANALYTICS
4.1. KEY MARKET TRENDS
4.1.1. EMERGENCE OF AI-DRIVEN DATA ANNOTATION PLATFORMS
4.1.2. DEMAND FOR DIVERSE AND SPECIALIZED DATASETS
4.1.3. RISE OF SYNTHETIC DATA
4.2. PORTER’S FIVE FORCES ANALYSIS
4.2.1. BUYERS POWER
4.2.2. SUPPLIERS POWER
4.2.3. SUBSTITUTIONS
4.2.4. NEW ENTRANTS
4.2.5. INDUSTRY RIVALRY
4.3. GROWTH PROSPECT MAPPING
4.4. MARKET MATURITY ANALYSIS
4.5. MARKET CONCENTRATION ANALYSIS
4.6. KEY BUYING CRITERIA
4.6.1. BATTERY EFFICIENCY & LONGEVITY
4.6.2. ERGONOMICS & USER COMFORT
4.6.3. APPLICATION RANGE
4.6.4. COST
4.6.5. SAFETY FEATURES
5. MARKET BY TYPE
5.1. TEXT
5.1.1. MARKET FORECAST FIGURE
5.1.2. SEGMENT ANALYSIS
5.2. IMAGE/VIDEO
5.2.1. MARKET FORECAST FIGURE
5.2.2. SEGMENT ANALYSIS
5.3. AUDIO
5.3.1. MARKET FORECAST FIGURE
5.3.2. SEGMENT ANALYSIS
6. MARKET BY VERTICAL
6.1. IT
6.1.1. MARKET FORECAST FIGURE
6.1.2. SEGMENT ANALYSIS
6.2. AUTOMOTIVE
6.2.1. MARKET FORECAST FIGURE
6.2.2. SEGMENT ANALYSIS
6.3. GOVERNMENT
6.3.1. MARKET FORECAST FIGURE
6.3.2. SEGMENT ANALYSIS
6.4. HEALTHCARE
6.4.1. MARKET FORECAST FIGURE
6.4.2. SEGMENT ANALYSIS
6.5. BFSI
6.5.1. MARKET FORECAST FIGURE
6.5.2. SEGMENT ANALYSIS
6.6. RETAIL & E-COMMERCE
6.6.1. MARKET FORECAST FIGURE
6.6.2. SEGMENT ANALYSIS
6.7. OTHER VERTICALS
6.7.1. MARKET FORECAST FIGURE
6.7.2. SEGMENT ANALYSIS
7. GEOGRAPHICAL ANALYSIS
7.1. NORTH AMERICA
7.1.1. MARKET SIZE & ESTIMATES
7.1.2. NORTH AMERICA AI TRAINING DATASET MARKET DRIVERS
7.1.3. NORTH AMERICA AI TRAINING DATASET MARKET CHALLENGES
7.1.4. KEY PLAYERS IN NORTH AMERICA AI TRAINING DATASET MARKET
7.1.5. COUNTRY ANALYSIS
7.1.5.1. UNITED STATES
7.1.5.1.1. UNITED STATES AI TRAINING DATASET MARKET SIZE & OPPORTUNITIES
7.1.5.2. CANADA
7.1.5.2.1. CANADA AI TRAINING DATASET MARKET SIZE & OPPORTUNITIES
7.2. EUROPE
7.2.1. MARKET SIZE & ESTIMATES
7.2.2. EUROPE AI TRAINING DATASET MARKET DRIVERS
7.2.3. EUROPE AI TRAINING DATASET MARKET CHALLENGES
7.2.4. KEY PLAYERS IN EUROPE AI TRAINING DATASET MARKET
7.2.5. COUNTRY ANALYSIS
7.2.5.1. UNITED KINGDOM
7.2.5.1.1. UNITED KINGDOM AI TRAINING DATASET MARKET SIZE & OPPORTUNITIES
7.2.5.2. GERMANY
7.2.5.2.1. GERMANY AI TRAINING DATASET MARKET SIZE & OPPORTUNITIES
7.2.5.3. FRANCE
7.2.5.3.1. FRANCE AI TRAINING DATASET MARKET SIZE & OPPORTUNITIES
7.2.5.4. ITALY
7.2.5.4.1. ITALY AI TRAINING DATASET MARKET SIZE & OPPORTUNITIES
7.2.5.5. SPAIN
7.2.5.5.1. SPAIN AI TRAINING DATASET MARKET SIZE & OPPORTUNITIES
7.2.5.6. REST OF EUROPE
7.2.5.6.1. REST OF EUROPE AI TRAINING DATASET MARKET SIZE & OPPORTUNITIES
7.3. ASIA-PACIFIC
7.3.1. MARKET SIZE & ESTIMATES
7.3.2. ASIA-PACIFIC AI TRAINING DATASET MARKET DRIVERS
7.3.3. ASIA-PACIFIC AI TRAINING DATASET MARKET CHALLENGES
7.3.4. KEY PLAYERS IN ASIA-PACIFIC AI TRAINING DATASET MARKET
7.3.5. COUNTRY ANALYSIS
7.3.5.1. CHINA
7.3.5.1.1. CHINA AI TRAINING DATASET MARKET SIZE & OPPORTUNITIES
7.3.5.2. JAPAN
7.3.5.2.1. JAPAN AI TRAINING DATASET MARKET SIZE & OPPORTUNITIES
7.3.5.3. INDIA
7.3.5.3.1. INDIA AI TRAINING DATASET MARKET SIZE & OPPORTUNITIES
7.3.5.4. SOUTH KOREA
7.3.5.4.1. SOUTH KOREA AI TRAINING DATASET MARKET SIZE & OPPORTUNITIES
7.3.5.5. AUSTRALIA & NEW ZEALAND
7.3.5.5.1. AUSTRALIA & NEW ZEALAND AI TRAINING DATASET MARKET SIZE & OPPORTUNITIES
7.3.5.6. REST OF ASIA-PACIFIC
7.3.5.6.1. REST OF ASIA-PACIFIC AI TRAINING DATASET MARKET SIZE & OPPORTUNITIES
7.4. REST OF WORLD
7.4.1. MARKET SIZE & ESTIMATES
7.4.2. REST OF WORLD AI TRAINING DATASET MARKET DRIVERS
7.4.3. REST OF WORLD AI TRAINING DATASET MARKET CHALLENGES
7.4.4. KEY PLAYERS IN REST OF WORLD AI TRAINING DATASET MARKET
7.4.5. REGIONAL ANALYSIS
7.4.5.1. LATIN AMERICA
7.4.5.1.1. LATIN AMERICA AI TRAINING DATASET MARKET SIZE & OPPORTUNITIES
7.4.5.2. MIDDLE EAST & AFRICA
7.4.5.2.1. MIDDLE EAST & AFRICA AI TRAINING DATASET MARKET SIZE & OPPORTUNITIES
8. COMPETITIVE LANDSCAPE
8.1. KEY STRATEGIC DEVELOPMENTS
8.1.1. MERGERS & ACQUISITIONS
8.1.2. PRODUCT LAUNCHES & DEVELOPMENTS
8.1.3. PARTNERSHIPS & AGREEMENTS
8.1.4. BUSINESS EXPANSIONS & DIVESTITURES
8.2. COMPANY PROFILES
8.2.1. GOOGLE LLC
8.2.1.1. COMPANY OVERVIEW
8.2.1.2. PRODUCT LIST
8.2.1.3. STRENGTHS & CHALLENGES
8.2.2. APPEN LTD
8.2.2.1. COMPANY OVERVIEW
8.2.2.2. PRODUCT LIST
8.2.2.3. STRENGTHS & CHALLENGES
8.2.3. AMAZON WEB SERVICES INC
8.2.3.1. COMPANY OVERVIEW
8.2.3.2. PRODUCT LIST
8.2.3.3. STRENGTHS & CHALLENGES
8.2.4. MICROSOFT CORPORATION
8.2.4.1. COMPANY OVERVIEW
8.2.4.2. PRODUCT LIST
8.2.4.3. STRENGTHS & CHALLENGES
8.2.5. ORACLE CORPORATION
8.2.5.1. COMPANY OVERVIEW
8.2.5.2. PRODUCT LIST
8.2.5.3. STRENGTHS & CHALLENGES
8.2.6. ALEGION
8.2.6.1. COMPANY OVERVIEW
8.2.6.2. PRODUCT LIST
8.2.6.3. STRENGTHS & CHALLENGES
8.2.7. COGITO TECH LLC
8.2.7.1. COMPANY OVERVIEW
8.2.7.2. PRODUCT LIST
8.2.7.3. STRENGTHS & CHALLENGES
8.2.8. DEEP VISION DATA
8.2.8.1. COMPANY OVERVIEW
8.2.8.2. PRODUCT LIST
8.2.8.3. STRENGTHS & CHALLENGES
8.2.9. COGNIZANT
8.2.9.1. COMPANY OVERVIEW
8.2.9.2. PRODUCT LIST
8.2.9.3. STRENGTHS & CHALLENGES
8.2.10. DEEPLY INC
8.2.10.1. COMPANY OVERVIEW
8.2.10.2. PRODUCT LIST
8.2.10.3. STRENGTHS & CHALLENGES
8.2.11. CLICKWORKER
8.2.11.1. COMPANY OVERVIEW
8.2.11.2. PRODUCT LIST
8.2.11.3. STRENGTHS & CHALLENGES
8.2.12. SCALE AI
8.2.12.1. COMPANY OVERVIEW
8.2.12.2. PRODUCT LIST
8.2.12.3. STRENGTHS & CHALLENGES
8.2.13. SPACEMAKER AI
8.2.13.1. COMPANY OVERVIEW
8.2.13.2. PRODUCT LIST
8.2.13.3. STRENGTHS & CHALLENGES
8.2.14. SALESFORCE
8.2.14.1. COMPANY OVERVIEW
8.2.14.2. PRODUCT LIST
8.2.14.3. STRENGTHS & CHALLENGES
8.2.15. LIONBRIDGE TECHNOLOGIES INC
8.2.15.1. COMPANY OVERVIEW
8.2.15.2. PRODUCT LIST
8.2.15.3. STRENGTHS & CHALLENGES

List of Tables

LIST OF TABLES
TABLE 1: MARKET SNAPSHOT — AI TRAINING DATASET
TABLE 2: GLOBAL AI TRAINING DATASET MARKET, BY TYPE, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 3: GLOBAL AI TRAINING DATASET MARKET, BY TYPE, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 4: GLOBAL TEXT MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 5: GLOBAL TEXT MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 6: GLOBAL IMAGE/VIDEO MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 7: GLOBAL IMAGE/VIDEO MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 8: GLOBAL AUDIO MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 9: GLOBAL AUDIO MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 10: GLOBAL AI TRAINING DATASET MARKET, BY VERTICAL, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 11: GLOBAL AI TRAINING DATASET MARKET, BY VERTICAL, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 12: GLOBAL IT MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 13: GLOBAL IT MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 14: GLOBAL AUTOMOTIVE MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 15: GLOBAL AUTOMOTIVE MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 16: GLOBAL GOVERNMENT MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 17: GLOBAL GOVERNMENT MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 18: GLOBAL HEALTHCARE MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 19: GLOBAL HEALTHCARE MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 20: GLOBAL BFSI MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 21: GLOBAL BFSI MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 22: GLOBAL RETAIL & E-COMMERCE MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 23: GLOBAL RETAIL & E-COMMERCE MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 24: GLOBAL OTHER VERTICALS MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 25: GLOBAL OTHER VERTICALS MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 26: GLOBAL AI TRAINING DATASET MARKET, BY GEOGRAPHY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 27: GLOBAL AI TRAINING DATASET MARKET, BY GEOGRAPHY, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 28: NORTH AMERICA AI TRAINING DATASET MARKET, BY COUNTRY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 29: NORTH AMERICA AI TRAINING DATASET MARKET, BY COUNTRY, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 30: KEY PLAYERS OPERATING IN NORTH AMERICA AI TRAINING DATASET MARKET
TABLE 31: EUROPE AI TRAINING DATASET MARKET, BY COUNTRY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 32: EUROPE AI TRAINING DATASET MARKET, BY COUNTRY, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 33: KEY PLAYERS OPERATING IN EUROPE AI TRAINING DATASET MARKET
TABLE 34: ASIA-PACIFIC AI TRAINING DATASET MARKET, BY COUNTRY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 35: ASIA-PACIFIC AI TRAINING DATASET MARKET, BY COUNTRY, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 36: KEY PLAYERS OPERATING IN ASIA-PACIFIC AI TRAINING DATASET MARKET
TABLE 37: REST OF WORLD AI TRAINING DATASET MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)
TABLE 38: REST OF WORLD AI TRAINING DATASET MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 39: KEY PLAYERS OPERATING IN REST OF WORLD AI TRAINING DATASET MARKET
TABLE 40: LIST OF MERGERS & ACQUISITIONS
TABLE 41: LIST OF PRODUCT LAUNCHES & DEVELOPMENTS
TABLE 42: LIST OF PARTNERSHIPS & AGREEMENTS
TABLE 43: LIST OF BUSINESS EXPANSIONS & DIVESTITURES

List of Figures

LIST OF FIGURES
FIGURE 1: KEY MARKET TRENDS
FIGURE 2: PORTER’S FIVE FORCES ANALYSIS
FIGURE 3: GROWTH PROSPECT MAPPING
FIGURE 4: MARKET MATURITY ANALYSIS
FIGURE 5: MARKET CONCENTRATION ANALYSIS
FIGURE 6: KEY BUYING CRITERIA
FIGURE 7: GLOBAL AI TRAINING DATASET MARKET, GROWTH POTENTIAL, BY TYPE, IN 2023
FIGURE 8: GLOBAL AI TRAINING DATASET MARKET, BY TEXT, 2024-2032 (IN $ MILLION)
FIGURE 9: GLOBAL AI TRAINING DATASET MARKET, BY IMAGE/VIDEO, 2024-2032 (IN $ MILLION)
FIGURE 10: GLOBAL AI TRAINING DATASET MARKET, BY AUDIO, 2024-2032 (IN $ MILLION)
FIGURE 11: GLOBAL AI TRAINING DATASET MARKET, GROWTH POTENTIAL, VERTICAL, IN 2023
FIGURE 12: GLOBAL AI TRAINING DATASET MARKET, BY IT, 2024-2032 (IN $ MILLION)
FIGURE 13: GLOBAL AI TRAINING DATASET MARKET, BY AUTOMOTIVE, 2024-2032 (IN $ MILLION)
FIGURE 14: GLOBAL AI TRAINING DATASET MARKET, BY GOVERNMENT, 2024-2032 (IN $ MILLION)
FIGURE 15: GLOBAL AI TRAINING DATASET MARKET, BY HEALTHCARE, 2024-2032 (IN $ MILLION)
FIGURE 16: GLOBAL AI TRAINING DATASET MARKET, BY BFSI, 2024-2032 (IN $ MILLION)
FIGURE 17: GLOBAL AI TRAINING DATASET MARKET, BY RETAIL & E-COMMERCE, 2024-2032 (IN $ MILLION)
FIGURE 18: GLOBAL AI TRAINING DATASET MARKET, BY OTHER VERTICALS, 2024-2032 (IN $ MILLION)
FIGURE 19: NORTH AMERICA AI TRAINING DATASET MARKET, COUNTRY OUTLOOK, 2023 & 2032 (IN %)
FIGURE 20: UNITED STATES AI TRAINING DATASET MARKET, 2024-2032 (IN $ MILLION)
FIGURE 21: CANADA AI TRAINING DATASET MARKET, 2024-2032 (IN $ MILLION)
FIGURE 22: EUROPE AI TRAINING DATASET MARKET, COUNTRY OUTLOOK, 2023 & 2032 (IN %)
FIGURE 23: UNITED KINGDOM AI TRAINING DATASET MARKET, 2024-2032 (IN $ MILLION)
FIGURE 24: GERMANY AI TRAINING DATASET MARKET, 2024-2032 (IN $ MILLION)
FIGURE 25: FRANCE AI TRAINING DATASET MARKET, 2024-2032 (IN $ MILLION)
FIGURE 26: ITALY AI TRAINING DATASET MARKET, 2024-2032 (IN $ MILLION)
FIGURE 27: SPAIN AI TRAINING DATASET MARKET, 2024-2032 (IN $ MILLION)
FIGURE 28: REST OF EUROPE AI TRAINING DATASET MARKET, 2024-2032 (IN $ MILLION)
FIGURE 29: ASIA-PACIFIC AI TRAINING DATASET MARKET, COUNTRY OUTLOOK, 2023 & 2032 (IN %)
FIGURE 30: CHINA AI TRAINING DATASET MARKET, 2024-2032 (IN $ MILLION)
FIGURE 31: JAPAN AI TRAINING DATASET MARKET, 2024-2032 (IN $ MILLION)
FIGURE 32: INDIA AI TRAINING DATASET MARKET, 2024-2032 (IN $ MILLION)
FIGURE 33: SOUTH KOREA AI TRAINING DATASET MARKET, 2024-2032 (IN $ MILLION)
FIGURE 34: AUSTRALIA & NEW ZEALAND AI TRAINING DATASET MARKET, 2024-2032 (IN $ MILLION)
FIGURE 35: REST OF ASIA-PACIFIC AI TRAINING DATASET MARKET, 2024-2032 (IN $ MILLION)
FIGURE 36: REST OF WORLD AI TRAINING DATASET MARKET, REGIONAL OUTLOOK, 2023 & 2032 (IN %)
FIGURE 37: LATIN AMERICA AI TRAINING DATASET MARKET, 2024-2032 (IN $ MILLION)
FIGURE 38: MIDDLE EAST & AFRICA AI TRAINING DATASET MARKET, 2024-2032 (IN $ MILLION)

Table of Contents


    주문/문의폼

    • 리포트 제목은 자동으로 입력됩니다.

    • *항목은 필수항목입니다.

    의뢰분류*

    성함*

    회사명*

    부서명

    이메일*

    전화번호

    저희 사이트를 알게 된 경로를 가르쳐 주세요.

    문의 내용*

     

    ※개인정보보호정책은여기에서 확인 가능합니다。

    Email 문의도 받고 있습니다.
    아래 주소이며 죄송하지만 "(at)"을 "@"로 바꾸어 보내주시길 부탁드립니다.
    mooneui(at)chosareport-korea.com