세계의 AI 트레이닝 데이터세트 시장을 조사했으며, 시장 개요, 시장 영향요인 및 시장 기회 분석, 시장 규모의 추이·예측, 각종 구분·지역별 상세 분석, ESG 개발, 경쟁 구도, 주요 기업의 개요 등을 정리하여 전해드립니다.
목차
제1장 서론
제2장 요약·하이라이트
제3장 시장 개요
- 개요
- AI 트레이닝 데이터세트의 이점
- AI 트레이닝 데이터세트의 유형
- 트레이닝 데이터 평가 요소
- 시장 역학
- 시장 촉진요인
- 시장 억제요인
- 시장이 해결해야 할 과제
- 시장 기회
- 거시경제적 요인
- AI 트레이닝 데이터세트 시장에 대한 COVID-19의 영향
제4장 시장 내역 : 유형·최종사용자별
- 세계의 AI 트레이닝 데이터세트 시장 : 유형별
- 텍스트
- 이미지·비디오
- 오디오
- 세계의 AI 트레이닝 데이터세트 시장 : 최종사용자별
- IT·통신
- 자동차
- 헬스케어
- BFSI
- 소매/E-Commerce
- 정부
- 기타
제5장 시장 내역 : 지역별
제6장 ESG 개발
- AI 업계에서 주요 ESG상 과제
- 이산화탄소 배출량/환경에 대한 영향
- 전기
- 투명성·거버넌스
- AI 업계의 ESG 퍼포먼스 분석
- 환경 퍼포먼스
- 사례 연구
- BCC에 의한 결론
제7장 경쟁 구도
- Google LLC
- Amazon Web Services Inc.
- Microsoft Corp.
제8장 기업 개요
- AMAZON WEB SERVICES INC.
- ALEGION INC.
- APPEN CORP.
- COGITO TECH LLC
- DEEP VISION DATA
- GLOBOSE TECHNOLOGY SOLUTIONS PVT LTD
- GOOGLE LLC
- LIONBRIDGE TECHNOLOGIES LLC.
- MICROSOFT CORP.
- SCALE AI INC.
- SAMASOURCE IMPACT SOURCING INC.
제9장 부록
KSA
Highlights:
The report provides an overview of the global AI training dataset market and its related segment. Using 2022 as the base year, the report provides estimated market data for 2023 and projections of compound annual growth rates (CAGRs) through 2028. The report has been segmented based on service, technology, end-user and geographical region. The report also offers an in-depth analysis of the competitive landscape within the global market for AI training dataset, focusing on key dynamics that drive success.
Report Scope:
The scope of this report is broad and covers several product areas. The individual product segments are presented in terms of market size and revenue trends. The revenue forecasts are explained in terms of the key market issues for that product segment and are projected through 2028.
The report also offers an in-depth analysis of the competitive landscape within the global market for AI training dataset, focusing on key dynamics that drive success. It examines critical factors such as research and development capabilities and the influence of ecosystems and partnerships. The report includes profiles of AI training dataset manufacturers, providing valuable insights into their strategies and product offerings. Additionally, the report assesses the impact of the COVID-19 pandemic on the market, considering the challenges and opportunities that have emerged as a result.
In this report, the global market of AI training dataset has been segmented based on service, technology, end-user and geographical region. Based on type, the global AI training dataset market has been categorized into text, image/video and audio. Based on end-user, the global AI training dataset market has been categorized into BFSI, retail/e-commerce, IT and telecom, government, automotive, healthcare and others. By geography, the market has been segmented into North America, Europe, Asia-Pacific and Rest of the World (Row). North America currently is the most dominant market for AI training datasets.
The geographical coverage of this report encompasses North America, Europe, Asia-Pacific and Row (Latin America, the Middle East and Africa). The revenue forecasts from 2022(base year) and 2023 to 2028(forecast period) are given for all the segments in the global AI training dataset market, with estimated values derived from the revenue of vendors offering AI training dataset.
Report Includes:
- 22 data tables and 16 additional tables
- An overview of the global market for AI training datasets
- Analyses of global market trends, with historical market revenue data (sales figures) for 2022, estimates for 2023, forecasts for 2024 and 2026, and projections of compound annual growth rates (CAGRs) through 2028
- In-depth information (facts and figures) pertaining to the factors influencing the market, including drivers, restraints, opportunities and industry-specific challenges)
- An estimate of the current market size, a revenue forecast for companies developing AI training datasets, and a corresponding market share analysis based on type, end-use application and region
- A look at the major vendors in the global market for AI training datasets, and an analysis of the industry structure with respect to company value share, M&A and venture fundings
- An evaluation on the importance of ESG in the AI training dataset market, with emphasis on the practices followed by companies
- An analysis of the competitive landscape, including the recent developments, financials and segmental revenues of the leading companies
- Company profiles of the market leaders
Table of Contents
Chapter 1 Introduction
- Study Goals and Objectives
- Reasons for Doing This Study
- Scope of Report
- Methodology
- Information Sources
- Geographic Breakdown
Chapter 2 Summary and Highlights
- Market Outlook
- Market Summary
Chapter 3 Market Overview
- Overview
- Benefits of AI Training Datasets
- Types of AI Training Dataset
- Training Data Evaluation Factors
- Market Dynamics
- Market Drivers
- Market Restraints
- Market Challenges
- Market Opportunities
- Macroeconomic Factors
- Impact of COVID-19 on the AI Training Dataset Market
Chapter 4 Market Breakdown by Type and by End User
- Global AI Training Dataset Market by Type
- Text
- Image/Video
- Audio
- Global AI Training Dataset Market by End User
- IT/Telecom
- Automotive
- Healthcare
- BFSI
- Retail/E-commerce
- Government
- Others
Chapter 5 Market Breakdown by Region
- Overview
- North America
- Europe
- Asia-Pacific
- Rest of the World
Chapter 6 ESG Development
- Key ESG Issues in the AI Industry
- Carbon Footprint/Environmental Impact
- Electricity
- Transparency and Governance
- AI Industry ESG Performance Analysis
- Environmental Performance
- Case Study
- Concluding Remarks from BCC Research
Chapter 7 Competitive Landscape
- Introduction
- Google LLC
- Amazon Web Services Inc.
- Microsoft Corp.
Chapter 8 Company Profiles
- AMAZON WEB SERVICES INC.
- ALEGION INC.
- APPEN CORP.
- COGITO TECH LLC
- DEEP VISION DATA
- GLOBOSE TECHNOLOGY SOLUTIONS PVT LTD
- GOOGLE LLC
- LIONBRIDGE TECHNOLOGIES LLC.
- MICROSOFT CORP.
- SCALE AI INC.
- SAMASOURCE IMPACT SOURCING INC.
Chapter 9 Appendix
