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
시장 전망
시장 요약
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
개요
북미
유럽
아시아태평양
기타 지역
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
영문 목차
영문목차
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
