查看購物車
  • Simplified Chinese
  • English
  • Japanese
AI 訓練數據集市場：按類型、最終用戶：2021-2031 年全球機會分析和行業預測
市場調查報告書
商品編碼
1298211

AI 訓練數據集市場：按類型、最終用戶：2021-2031 年全球機會分析和行業預測

AI Training Dataset Market By Type (Text, Audio, Image/Video), By End User (IT and Telecom, BFSI, Automotive, Healthcare, Government and Defense, Retail, Others): Global Opportunity Analysis and Industry Forecast, 2021-2031
出版日期: | 出版商: Allied Market Research | 英文 353 Pages | 商品交期: 2-3個工作天內

價格

人工智能在製造、IT、BFSI、零售和電子商務以及醫療保健等許多工業應用中發揮著非常重要的作用。

對特定應用學習數據不斷增長的需求也創造了發現新候選人的機會。大數據正在增加我們對人工智能 (AI) 的依賴。人工智能是一種能夠通過分層學習過程提取高度複雜的抽象的技術，這需要從大量數據中挖掘和提取有意義的模式。此外，人工智能將使機器能夠執行類似人類的任務、從經驗中學習並適應新的輸入。這些機器被訓練來分析大量數據並找到執行特定任務的模式。為了訓練這些機器，我們需要一個特定的數據集。為了滿足這一需求，對人工智能訓練數據庫的需求不斷增長。

AI Training Dataset Market-IMG1

此外，機器學習和智能等因素正在迅速擴張，大量數據的產生和技術進步主要推動AI訓練數據集市場的增長。然而，新興市場的技術專業化水平較低，在一定程度上阻礙了市場的增長。此外，在多個垂直領域擴展訓練數據集的功能預計將為預測期內的市場增長提供利潤豐厚的機會。

按類型劃分，文本細分在 2021 年人工智能訓練數據集市場份額中佔據主導地位，預計在預測期內將繼續保持這種主導地位。當人工智能掌握了創建人類發音句子的能力後，它可以用來自動創建文章、博客文章、產品描述和其他類型的內容。然而，圖像/視頻域要麼預測新數據（例如識別視頻中的對象），要麼創建與訓練數據非常相似的全新內容（例如從繪畫集合中合成圖像）。因此，我們創建自己的參數如何表達或建模這些模式，因此我們預計未來幾年會有最高的增長。

按地區劃分，2021 年人工智能訓練數據集市場將由北美主導，預計在預測期內將保持其地位。企業的快速數字化推動了對獲得最佳可視性和戰略制定的分析解決方案的需求。然而，由於新數據集的廣泛發布以加速人工智能技術在發展中行業的利用，預計亞太地區在未來幾年將出現最高的增長。印度等發展中國家的公司正在迅速採用新興技術，以實現運營現代化。其他重要參與者也在這一領域取得了長足的進步。

板塊回顧

目錄

第 1 章 簡介

第二章執行摘要

第三章市場概況

  • 市場定義和範圍
  • 主要發現
    • 影響因素
    • 主要投資口袋
  • 波特五力分析
    • 供應商的議價能力
    • 買方議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭強度
  • 市場動態
    • 促進者
      • 機器學習 (ML) 和人工智能 (AI) 的快速擴展
      • 海量數據生成和技術進步
    • 抑製劑
      • 發展中地區缺乏技術專長
    • 機會
      • 多個行業的訓練數據集的廣泛功能
  • COVID-19 的市場影響分析

4. 人工智能訓練數據集市場，按類型分類

  • 概述
    • 市場規模及預測
  • 文本
    • 主要市場趨勢、增長動力和增長機會
    • 市場規模/預測：按地區
    • 市場份額分析：按國家分類
  • 聲音的
    • 主要市場趨勢、增長動力和機遇
    • 市場規模/預測：按地區
    • 市場份額分析：按國家分類
  • 圖片/視頻
    • 主要市場趨勢、增長動力和機遇
    • 市場規模/預測：按地區
    • 市場份額分析：按國家分類

5. 最終用戶的人工智能訓練數據集市場

  • 概述
    • 市場規模及預測
  • IT/通訊
    • 主要市場趨勢、增長因素和增長機會
    • 市場規模/預測：按地區
    • 市場份額分析：按國家分類
  • BFSI市場
    • 主要市場趨勢、增長動力和機遇
    • 市場規模/預測：按地區
    • 市場份額分析：按國家分類
  • 汽車
    • 主要市場趨勢、增長動力和機遇
    • 市場規模/預測：按地區
    • 市場份額分析：按國家分類
  • 衛生保健
    • 主要市場趨勢、增長動力和機遇
    • 市場規模/預測：按地區
    • 市場份額分析：按國家分類
  • 政府/國防
    • 主要市場趨勢、增長動力和機遇
    • 市場規模/預測：按地區
    • 市場份額分析：按國家分類
  • 零售
    • 主要市場趨勢、增長動力和機遇
    • 市場規模/預測：按地區
    • 市場份額分析：按國家分類
  • 其他
    • 主要市場趨勢、增長動力和機遇
    • 市場規模/預測：按地區
    • 市場份額分析：按國家分類

6.按地區劃分的人工智能訓練數據集市場

  • 概述
    • 市場規模/預測：按地區
  • 北美
    • 主要趨勢和機遇
    • 市場規模/預測：按類型
    • 市場規模/預測：按最終用戶分類
    • 市場規模/預測：按國家
      • 美國
      • 主要市場趨勢、增長因素和增長機會
      • 市場規模/預測：按類型
      • 市場規模/預測：按最終用戶分類
      • 加拿大
      • 主要市場趨勢、增長動力和機遇
      • 市場規模/預測：按類型
      • 市場規模/預測：按最終用戶分類
  • 歐洲
    • 主要趨勢和機遇
    • 市場規模/預測：按類型
    • 市場規模/預測：按最終用戶分類
    • 市場規模/預測：按國家
      • 英國
      • 主要市場趨勢、增長動力和增長機會
      • 市場規模/預測：按類型
      • 市場規模/預測：按最終用戶分類
      • 德國
      • 主要市場趨勢、增長動力和機遇
      • 市場規模/預測：按類型
      • 市場規模/預測：按最終用戶分類
      • 法國
      • 主要市場趨勢、增長動力和機遇
      • 市場規模/預測：按類型
      • 市場規模/預測：按最終用戶分類
      • 意大利
      • 主要市場趨勢、增長動力和機遇
      • 市場規模/預測：按類型
      • 市場規模/預測：按最終用戶分類
      • 西班牙
      • 主要市場趨勢、增長動力和機遇
      • 市場規模/預測：按類型
      • 市場規模/預測：按最終用戶分類
      • 歐洲其他地區
      • 主要市場趨勢、增長動力和機遇
      • 市場規模/預測：按類型
      • 市場規模/預測：按最終用戶分類
  • 亞太地區
    • 主要趨勢和機遇
    • 市場規模/預測：按類型
    • 市場規模/預測：按最終用戶分類
    • 市場規模/預測：按國家
      • 中國
      • 主要市場趨勢、增長因素和增長機會
      • 市場規模/預測：按類型
      • 市場規模/預測：按最終用戶分類
      • 印度
      • 主要市場趨勢、增長因素和增長機會
      • 市場規模/預測：按類型
      • 市場規模/預測：按最終用戶分類
      • 日本
      • 主要市場趨勢、增長因素和增長機會
      • 市場規模/預測：按類型
      • 市場規模/預測：按最終用戶分類
      • 澳大利亞
      • 主要市場趨勢、增長動力和機遇
      • 市場規模/預測：按類型
      • 市場規模/預測：按最終用戶分類
      • 韓國
      • 主要市場趨勢、增長動力和機遇
      • 市場規模/預測：按類型
      • 市場規模/預測：按最終用戶分類
      • 亞太其他地區
      • 主要市場趨勢、增長動力和機遇
      • 市場規模/預測：按類型
      • 市場規模/預測：按最終用戶分類
  • 拉丁美洲/中東/非洲
    • 主要趨勢和機遇
    • 市場規模/預測：按類型
    • 市場規模/預測：按最終用戶分類
    • 市場規模/預測：按國家
      • 拉丁美洲
      • 主要市場趨勢、增長因素和增長機會
      • 市場規模/預測：按類型
      • 市場規模/預測：按最終用戶分類
      • 中東
      • 主要市場趨勢、增長動力和機遇
      • 市場規模/預測：按類型
      • 市場規模/預測：按最終用戶分類
      • 非洲
      • 主要市場趨勢、增長動力和機遇
      • 市場規模/預測：按類型
      • 市場規模/預測：按最終用戶分類

第7章 競爭格局

  • 介紹
  • 關鍵成功策略
  • 10大公司產品圖
  • 比賽儀表板
  • 比賽熱圖
  • 2021 年公司主要定位

第八章公司簡介

  • Google LLC
  • APPEN LIMITED
  • Cogito Tech LLC
  • Lionbridge Technologies, Inc
  • Amazon Web Services Inc.
  • Microsoft Corporation
  • SCALE AI, INC.
  • Samasource Inc.
  • Alegion
  • Deep Vision Data
Product Code: A07815

In a number of industrial uses, including manufacturing, IT, BFSI, retail & e-commerce, and healthcare, AI is indeed extremely relevant. Opportunities for new candidates are also emerging due to the rising demand for application-specific training data. Big data is increasingly dependent on artificial intelligence (AI), as the technology enables the extraction of highly complicated abstractions through a hierarchical learning process, necessitating the mining and extraction of meaningful patterns from vast amounts of data. Furthermore, AI gives machines the ability to execute human-like tasks, learn from experience, and adapt to new inputs. These machines are taught to analyze vast amounts of data and find patterns in order to carry out a specific job. Specific datasets are needed to teach these machines. To meet this need, there is a rising demand for AI training databases.

AI Training Dataset Market - IMG1

Furthermore, Factors such as machine learning and Intelligence are expanding quickly, and the production of large amounts of data and technological advancements primarily drive the growth of the AI training dataset market. However, poor expertise of technology in developing areas hampers market growth to some extent. Moreover, widening functionality of training data sets in multiple business verticals is expected to provide lucrative opportunities for the market growth during the forecast period.

Depending on the type, the text segment dominated the AI training dataset market share in 2021 and is expected to continue this dominance during the forecast period, owing to train AI text generators so they can learn the structure and style of writing. It may be used to automatically compose articles, blog posts, product descriptions, and other sorts of content after they have mastered the ability to produce writing that sounds human. However, the image/video segment is expected to witness the highest growth in the upcoming years, owing to creates its own parameters for how to represent or model those patterns in order to forecast fresh data (such to identify objects in a video) or create entirely new content that closely resembles the training data (such as synthesize images from a collection of paintings).

Region wise, the AI training dataset market was dominated by North America in 2021 and is expected to retain its position during the forecast period, owing to industries moving towards automation, there is a higher demand for AI and machine learning tools. The demand for analytical solutions to acquire the best visualization and strategy developments is being driven by the rapid digitalization of company. However, Asia-Pacific is expected to witness the highest growth in the upcoming years, owing to the widespread release of new datasets to speed up the usage of artificial intelligence technology in developing sectors. Emerging technologies are being quickly embraced by businesses in developing nations like India in order to modernize their operations. Other important players are also focusing their efforts in the area.

Segment review

The AI training dataset market is segmented on the basis of type, industry vertical and region. On the basis of type, it is segregated into Text, Audio, and Image/Video. On the basis industry vertical, it is classified into IT and telecom, BFSI, automotive, healthcare, government and defense, retail, and others. On the basis of region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The global AI training dataset industry is dominated by key players such as Google LLC, Amazon Web Services Inc., Microsoft Corporation, SCALE AI, INC., APPEN LIMITED, Cogito Tech LLC, Lionbridge Technologies, Inc., Alegion, Deep Vision Data, Samasource Inc. These players have adopted various strategies to increase their market penetration and strengthen their position in AI training dataset industry.

Top impacting factors

Quick expansion of Machine learning (ML) and Artificial Intelligence (AI)

Since big data requires the recording, storing, and analysis of a sizable quantity of data, its emergence is expected to fuel the growth of the artificial intelligence market. End users are more concerned with the necessity of maintaining and improving the big data-related analytical models. They are adopting artificial intelligence solutions more rapidly as a result of this focus. The adoption of artificial intelligence is anticipated to significantly increase demand for AI training datasets because annotated data stimulates training AI models and machine learning systems in crucial areas like speech recognition and image identification. By clearly providing the data needed for decision-making and future prediction, data annotation strengthens AI. Many public and private organizations gather domain-specific data, including data from numerous applications like national espionage, fraud detection, marketing, medical informatics, and cyber security. Data annotation makes it possible to label such unstructured and unsupervised data by constantly increasing the accuracy of each individual piece of information.

Production of large amounts of data and technological advancements

Big data is used by businesses to enhance operations, deliver better customer service, develop individualized marketing campaigns, and carry out other tasks that can eventually boost sales and profits. Because they can act more quickly and with greater knowledge, businesses that use it successfully may have a competitive advantage over those that don't. Moreover, big data, for instance, offers insightful information about consumers that businesses can use to improve their marketing, advertising, and promotions and boost customer engagement and conversion rates. Furthermore, businesses can become more responsive to customer desires and requirements by analyzing historical and real-time data to evaluate the changing preferences of consumers or corporate buyers. Therefore, the demand for AI training datasets has grown as a result of the enormous volume of data generated by numerous technologies such as machine learning, big data, and artificial intelligence. These technologies generate a significant amount of unstructured and irrelevant data; as a result, it is crucial to feed a machine learning model accurate and pertinent data when training it.

Key Benefits For Stakeholders

  • This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the ai training dataset market analysis from 2021 to 2031 to identify the prevailing ai training dataset market opportunities.
  • The market research is offered along with information related to key drivers, restraints, and opportunities.
  • Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
  • In-depth analysis of the ai training dataset market segmentation assists to determine the prevailing market opportunities.
  • Major countries in each region are mapped according to their revenue contribution to the global market.
  • Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
  • The report includes the analysis of the regional as well as global ai training dataset market trends, key players, market segments, application areas, and market growth strategies.

Key Market Segments

By Type

  • Text
  • Audio
  • Image/Video

By End User

  • IT and Telecom
  • BFSI
  • Automotive
  • Healthcare
  • Government and Defense
  • Retail
  • Others

By Region

  • North America
    • U.S.
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • Rest of Asia-Pacific
  • LAMEA
    • Latin America
    • Middle East
    • Africa

Key Market Players:

  • Google LLC
  • Amazon Web Services Inc.
  • Microsoft Corporation
  • SCALE AI, INC.
  • APPEN LIMITED
  • Cogito Tech LLC
  • Lionbridge Technologies, Inc
  • Alegion
  • Deep Vision Data
  • Samasource Inc.

TABLE OF CONTENTS

CHAPTER 1: INTRODUCTION

  • 1.1. Report description
  • 1.2. Key market segments
  • 1.3. Key benefits to the stakeholders
  • 1.4. Research Methodology
    • 1.4.1. Primary research
    • 1.4.2. Secondary research
    • 1.4.3. Analyst tools and models

CHAPTER 2: EXECUTIVE SUMMARY

  • 2.1. CXO Perspective

CHAPTER 3: MARKET OVERVIEW

  • 3.1. Market definition and scope
  • 3.2. Key findings
    • 3.2.1. Top impacting factors
    • 3.2.2. Top investment pockets
  • 3.3. Porter's five forces analysis
    • 3.3.1. Bargaining power of suppliers
    • 3.3.2. Bargaining power of buyers
    • 3.3.3. Threat of substitutes
    • 3.3.4. Threat of new entrants
    • 3.3.5. Intensity of rivalry
  • 3.4. Market dynamics
    • 3.4.1. Drivers
      • 3.4.1.1. Quick expansion of Machine learning (ML) and Artificial Intelligence (AI)
      • 3.4.1.2. Production of large amounts of data and technological advancements
    • 3.4.2. Restraints
      • 3.4.2.1. Lack of technological expertise of technology in developing regions
    • 3.4.3. Opportunities
      • 3.4.3.1. Broad functionality of training datasets in multiple business verticals
  • 3.5. COVID-19 Impact Analysis on the market

CHAPTER 4: AI TRAINING DATASET MARKET, BY TYPE

  • 4.1. Overview
    • 4.1.1. Market size and forecast
  • 4.2. Text
    • 4.2.1. Key market trends, growth factors and opportunities
    • 4.2.2. Market size and forecast, by region
    • 4.2.3. Market share analysis by country
  • 4.3. Audio
    • 4.3.1. Key market trends, growth factors and opportunities
    • 4.3.2. Market size and forecast, by region
    • 4.3.3. Market share analysis by country
  • 4.4. Image/Video
    • 4.4.1. Key market trends, growth factors and opportunities
    • 4.4.2. Market size and forecast, by region
    • 4.4.3. Market share analysis by country

CHAPTER 5: AI TRAINING DATASET MARKET, BY END USER

  • 5.1. Overview
    • 5.1.1. Market size and forecast
  • 5.2. IT and Telecom
    • 5.2.1. Key market trends, growth factors and opportunities
    • 5.2.2. Market size and forecast, by region
    • 5.2.3. Market share analysis by country
  • 5.3. BFSI
    • 5.3.1. Key market trends, growth factors and opportunities
    • 5.3.2. Market size and forecast, by region
    • 5.3.3. Market share analysis by country
  • 5.4. Automotive
    • 5.4.1. Key market trends, growth factors and opportunities
    • 5.4.2. Market size and forecast, by region
    • 5.4.3. Market share analysis by country
  • 5.5. Healthcare
    • 5.5.1. Key market trends, growth factors and opportunities
    • 5.5.2. Market size and forecast, by region
    • 5.5.3. Market share analysis by country
  • 5.6. Government and Defense
    • 5.6.1. Key market trends, growth factors and opportunities
    • 5.6.2. Market size and forecast, by region
    • 5.6.3. Market share analysis by country
  • 5.7. Retail
    • 5.7.1. Key market trends, growth factors and opportunities
    • 5.7.2. Market size and forecast, by region
    • 5.7.3. Market share analysis by country
  • 5.8. Others
    • 5.8.1. Key market trends, growth factors and opportunities
    • 5.8.2. Market size and forecast, by region
    • 5.8.3. Market share analysis by country

CHAPTER 6: AI TRAINING DATASET MARKET, BY REGION

  • 6.1. Overview
    • 6.1.1. Market size and forecast By Region
  • 6.2. North America
    • 6.2.1. Key trends and opportunities
    • 6.2.2. Market size and forecast, by Type
    • 6.2.3. Market size and forecast, by End User
    • 6.2.4. Market size and forecast, by country
      • 6.2.4.1. U.S.
      • 6.2.4.1.1. Key market trends, growth factors and opportunities
      • 6.2.4.1.2. Market size and forecast, by Type
      • 6.2.4.1.3. Market size and forecast, by End User
      • 6.2.4.2. Canada
      • 6.2.4.2.1. Key market trends, growth factors and opportunities
      • 6.2.4.2.2. Market size and forecast, by Type
      • 6.2.4.2.3. Market size and forecast, by End User
  • 6.3. Europe
    • 6.3.1. Key trends and opportunities
    • 6.3.2. Market size and forecast, by Type
    • 6.3.3. Market size and forecast, by End User
    • 6.3.4. Market size and forecast, by country
      • 6.3.4.1. UK
      • 6.3.4.1.1. Key market trends, growth factors and opportunities
      • 6.3.4.1.2. Market size and forecast, by Type
      • 6.3.4.1.3. Market size and forecast, by End User
      • 6.3.4.2. Germany
      • 6.3.4.2.1. Key market trends, growth factors and opportunities
      • 6.3.4.2.2. Market size and forecast, by Type
      • 6.3.4.2.3. Market size and forecast, by End User
      • 6.3.4.3. France
      • 6.3.4.3.1. Key market trends, growth factors and opportunities
      • 6.3.4.3.2. Market size and forecast, by Type
      • 6.3.4.3.3. Market size and forecast, by End User
      • 6.3.4.4. Italy
      • 6.3.4.4.1. Key market trends, growth factors and opportunities
      • 6.3.4.4.2. Market size and forecast, by Type
      • 6.3.4.4.3. Market size and forecast, by End User
      • 6.3.4.5. Spain
      • 6.3.4.5.1. Key market trends, growth factors and opportunities
      • 6.3.4.5.2. Market size and forecast, by Type
      • 6.3.4.5.3. Market size and forecast, by End User
      • 6.3.4.6. Rest of Europe
      • 6.3.4.6.1. Key market trends, growth factors and opportunities
      • 6.3.4.6.2. Market size and forecast, by Type
      • 6.3.4.6.3. Market size and forecast, by End User
  • 6.4. Asia-Pacific
    • 6.4.1. Key trends and opportunities
    • 6.4.2. Market size and forecast, by Type
    • 6.4.3. Market size and forecast, by End User
    • 6.4.4. Market size and forecast, by country
      • 6.4.4.1. China
      • 6.4.4.1.1. Key market trends, growth factors and opportunities
      • 6.4.4.1.2. Market size and forecast, by Type
      • 6.4.4.1.3. Market size and forecast, by End User
      • 6.4.4.2. India
      • 6.4.4.2.1. Key market trends, growth factors and opportunities
      • 6.4.4.2.2. Market size and forecast, by Type
      • 6.4.4.2.3. Market size and forecast, by End User
      • 6.4.4.3. Japan
      • 6.4.4.3.1. Key market trends, growth factors and opportunities
      • 6.4.4.3.2. Market size and forecast, by Type
      • 6.4.4.3.3. Market size and forecast, by End User
      • 6.4.4.4. Australia
      • 6.4.4.4.1. Key market trends, growth factors and opportunities
      • 6.4.4.4.2. Market size and forecast, by Type
      • 6.4.4.4.3. Market size and forecast, by End User
      • 6.4.4.5. South Korea
      • 6.4.4.5.1. Key market trends, growth factors and opportunities
      • 6.4.4.5.2. Market size and forecast, by Type
      • 6.4.4.5.3. Market size and forecast, by End User
      • 6.4.4.6. Rest of Asia-Pacific
      • 6.4.4.6.1. Key market trends, growth factors and opportunities
      • 6.4.4.6.2. Market size and forecast, by Type
      • 6.4.4.6.3. Market size and forecast, by End User
  • 6.5. LAMEA
    • 6.5.1. Key trends and opportunities
    • 6.5.2. Market size and forecast, by Type
    • 6.5.3. Market size and forecast, by End User
    • 6.5.4. Market size and forecast, by country
      • 6.5.4.1. Latin America
      • 6.5.4.1.1. Key market trends, growth factors and opportunities
      • 6.5.4.1.2. Market size and forecast, by Type
      • 6.5.4.1.3. Market size and forecast, by End User
      • 6.5.4.2. Middle East
      • 6.5.4.2.1. Key market trends, growth factors and opportunities
      • 6.5.4.2.2. Market size and forecast, by Type
      • 6.5.4.2.3. Market size and forecast, by End User
      • 6.5.4.3. Africa
      • 6.5.4.3.1. Key market trends, growth factors and opportunities
      • 6.5.4.3.2. Market size and forecast, by Type
      • 6.5.4.3.3. Market size and forecast, by End User

CHAPTER 7: COMPETITIVE LANDSCAPE

  • 7.1. Introduction
  • 7.2. Top winning strategies
  • 7.3. Product Mapping of Top 10 Player
  • 7.4. Competitive Dashboard
  • 7.5. Competitive Heatmap
  • 7.6. Top player positioning, 2021

CHAPTER 8: COMPANY PROFILES

  • 8.1. Google LLC
    • 8.1.1. Company overview
    • 8.1.2. Key Executives
    • 8.1.3. Company snapshot
    • 8.1.4. Operating business segments
    • 8.1.5. Product portfolio
    • 8.1.6. Business performance
    • 8.1.7. Key strategic moves and developments
  • 8.2. APPEN LIMITED
    • 8.2.1. Company overview
    • 8.2.2. Key Executives
    • 8.2.3. Company snapshot
    • 8.2.4. Operating business segments
    • 8.2.5. Product portfolio
    • 8.2.6. Business performance
    • 8.2.7. Key strategic moves and developments
  • 8.3. Cogito Tech LLC
    • 8.3.1. Company overview
    • 8.3.2. Key Executives
    • 8.3.3. Company snapshot
    • 8.3.4. Operating business segments
    • 8.3.5. Product portfolio
    • 8.3.6. Key strategic moves and developments
  • 8.4. Lionbridge Technologies, Inc
    • 8.4.1. Company overview
    • 8.4.2. Key Executives
    • 8.4.3. Company snapshot
    • 8.4.4. Operating business segments
    • 8.4.5. Product portfolio
    • 8.4.6. Key strategic moves and developments
  • 8.5. Amazon Web Services Inc.
    • 8.5.1. Company overview
    • 8.5.2. Key Executives
    • 8.5.3. Company snapshot
    • 8.5.4. Operating business segments
    • 8.5.5. Product portfolio
    • 8.5.6. Business performance
    • 8.5.7. Key strategic moves and developments
  • 8.6. Microsoft Corporation
    • 8.6.1. Company overview
    • 8.6.2. Key Executives
    • 8.6.3. Company snapshot
    • 8.6.4. Operating business segments
    • 8.6.5. Product portfolio
    • 8.6.6. Business performance
    • 8.6.7. Key strategic moves and developments
  • 8.7. SCALE AI, INC.
    • 8.7.1. Company overview
    • 8.7.2. Key Executives
    • 8.7.3. Company snapshot
    • 8.7.4. Operating business segments
    • 8.7.5. Product portfolio
    • 8.7.6. Key strategic moves and developments
  • 8.8. Samasource Inc.
    • 8.8.1. Company overview
    • 8.8.2. Key Executives
    • 8.8.3. Company snapshot
    • 8.8.4. Operating business segments
    • 8.8.5. Product portfolio
    • 8.8.6. Key strategic moves and developments
  • 8.9. Alegion
    • 8.9.1. Company overview
    • 8.9.2. Key Executives
    • 8.9.3. Company snapshot
    • 8.9.4. Operating business segments
    • 8.9.5. Product portfolio
    • 8.9.6. Key strategic moves and developments
  • 8.10. Deep Vision Data
    • 8.10.1. Company overview
    • 8.10.2. Key Executives
    • 8.10.3. Company snapshot
    • 8.10.4. Operating business segments
    • 8.10.5. Product portfolio
    • 8.10.6. Key strategic moves and developments

LIST OF TABLES

  • TABLE 01. GLOBAL AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 02. AI TRAINING DATASET MARKET FOR TEXT, BY REGION, 2021-2031 ($MILLION)
  • TABLE 03. AI TRAINING DATASET MARKET FOR AUDIO, BY REGION, 2021-2031 ($MILLION)
  • TABLE 04. AI TRAINING DATASET MARKET FOR IMAGE/VIDEO, BY REGION, 2021-2031 ($MILLION)
  • TABLE 05. GLOBAL AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 06. AI TRAINING DATASET MARKET FOR IT AND TELECOM, BY REGION, 2021-2031 ($MILLION)
  • TABLE 07. AI TRAINING DATASET MARKET FOR BFSI, BY REGION, 2021-2031 ($MILLION)
  • TABLE 08. AI TRAINING DATASET MARKET FOR AUTOMOTIVE, BY REGION, 2021-2031 ($MILLION)
  • TABLE 09. AI TRAINING DATASET MARKET FOR HEALTHCARE, BY REGION, 2021-2031 ($MILLION)
  • TABLE 10. AI TRAINING DATASET MARKET FOR GOVERNMENT AND DEFENSE, BY REGION, 2021-2031 ($MILLION)
  • TABLE 11. AI TRAINING DATASET MARKET FOR RETAIL, BY REGION, 2021-2031 ($MILLION)
  • TABLE 12. AI TRAINING DATASET MARKET FOR OTHERS, BY REGION, 2021-2031 ($MILLION)
  • TABLE 13. AI TRAINING DATASET MARKET, BY REGION, 2021-2031 ($MILLION)
  • TABLE 14. NORTH AMERICA AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 15. NORTH AMERICA AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 16. NORTH AMERICA AI TRAINING DATASET MARKET, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 17. U.S. AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 18. U.S. AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 19. CANADA AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 20. CANADA AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 21. EUROPE AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 22. EUROPE AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 23. EUROPE AI TRAINING DATASET MARKET, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 24. UK AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 25. UK AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 26. GERMANY AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 27. GERMANY AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 28. FRANCE AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 29. FRANCE AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 30. ITALY AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 31. ITALY AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 32. SPAIN AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 33. SPAIN AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 34. REST OF EUROPE AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 35. REST OF EUROPE AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 36. ASIA-PACIFIC AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 37. ASIA-PACIFIC AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 38. ASIA-PACIFIC AI TRAINING DATASET MARKET, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 39. CHINA AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 40. CHINA AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 41. INDIA AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 42. INDIA AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 43. JAPAN AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 44. JAPAN AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 45. AUSTRALIA AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 46. AUSTRALIA AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 47. SOUTH KOREA AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 48. SOUTH KOREA AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 49. REST OF ASIA-PACIFIC AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 50. REST OF ASIA-PACIFIC AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 51. LAMEA AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 52. LAMEA AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 53. LAMEA AI TRAINING DATASET MARKET, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 54. LATIN AMERICA AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 55. LATIN AMERICA AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 56. MIDDLE EAST AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 57. MIDDLE EAST AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 58. AFRICA AI TRAINING DATASET MARKET, BY TYPE, 2021-2031 ($MILLION)
  • TABLE 59. AFRICA AI TRAINING DATASET MARKET, BY END USER, 2021-2031 ($MILLION)
  • TABLE 60. GOOGLE LLC: KEY EXECUTIVES
  • TABLE 61. GOOGLE LLC: COMPANY SNAPSHOT
  • TABLE 62. GOOGLE LLC: SERVICE SEGMENTS
  • TABLE 63. GOOGLE LLC: PRODUCT PORTFOLIO
  • TABLE 64. GOOGLE LLC: KEY STRATERGIES
  • TABLE 65. APPEN LIMITED: KEY EXECUTIVES
  • TABLE 66. APPEN LIMITED: COMPANY SNAPSHOT
  • TABLE 67. APPEN LIMITED: SERVICE SEGMENTS
  • TABLE 68. APPEN LIMITED: PRODUCT PORTFOLIO
  • TABLE 69. APPEN LIMITED: KEY STRATERGIES
  • TABLE 70. COGITO TECH LLC: KEY EXECUTIVES
  • TABLE 71. COGITO TECH LLC: COMPANY SNAPSHOT
  • TABLE 72. COGITO TECH LLC: SERVICE SEGMENTS
  • TABLE 73. COGITO TECH LLC: PRODUCT PORTFOLIO
  • TABLE 74. COGITO TECH LLC: KEY STRATERGIES
  • TABLE 75. LIONBRIDGE TECHNOLOGIES, INC: KEY EXECUTIVES
  • TABLE 76. LIONBRIDGE TECHNOLOGIES, INC: COMPANY SNAPSHOT
  • TABLE 77. LIONBRIDGE TECHNOLOGIES, INC: SERVICE SEGMENTS
  • TABLE 78. LIONBRIDGE TECHNOLOGIES, INC: PRODUCT PORTFOLIO
  • TABLE 79. LIONBRIDGE TECHNOLOGIES, INC: KEY STRATERGIES
  • TABLE 80. AMAZON WEB SERVICES INC.: KEY EXECUTIVES
  • TABLE 81. AMAZON WEB SERVICES INC.: COMPANY SNAPSHOT
  • TABLE 82. AMAZON WEB SERVICES INC.: SERVICE SEGMENTS
  • TABLE 83. AMAZON WEB SERVICES INC.: PRODUCT PORTFOLIO
  • TABLE 84. AMAZON WEB SERVICES INC.: KEY STRATERGIES
  • TABLE 85. MICROSOFT CORPORATION: KEY EXECUTIVES
  • TABLE 86. MICROSOFT CORPORATION: COMPANY SNAPSHOT
  • TABLE 87. MICROSOFT CORPORATION: SERVICE SEGMENTS
  • TABLE 88. MICROSOFT CORPORATION: PRODUCT PORTFOLIO
  • TABLE 89. MICROSOFT CORPORATION: KEY STRATERGIES
  • TABLE 90. SCALE AI, INC.: KEY EXECUTIVES
  • TABLE 91. SCALE AI, INC.: COMPANY SNAPSHOT
  • TABLE 92. SCALE AI, INC.: SERVICE SEGMENTS
  • TABLE 93. SCALE AI, INC.: PRODUCT PORTFOLIO
  • TABLE 94. SCALE AI, INC.: KEY STRATERGIES
  • TABLE 95. SAMASOURCE INC.: KEY EXECUTIVES
  • TABLE 96. SAMASOURCE INC.: COMPANY SNAPSHOT
  • TABLE 97. SAMASOURCE INC.: SERVICE SEGMENTS
  • TABLE 98. SAMASOURCE INC.: PRODUCT PORTFOLIO
  • TABLE 99. SAMASOURCE INC.: KEY STRATERGIES
  • TABLE 100. ALEGION: KEY EXECUTIVES
  • TABLE 101. ALEGION: COMPANY SNAPSHOT
  • TABLE 102. ALEGION: SERVICE SEGMENTS
  • TABLE 103. ALEGION: PRODUCT PORTFOLIO
  • TABLE 104. ALEGION: KEY STRATERGIES
  • TABLE 105. DEEP VISION DATA: KEY EXECUTIVES
  • TABLE 106. DEEP VISION DATA: COMPANY SNAPSHOT
  • TABLE 107. DEEP VISION DATA: SERVICE SEGMENTS
  • TABLE 108. DEEP VISION DATA: PRODUCT PORTFOLIO
  • TABLE 109. DEEP VISION DATA: KEY STRATERGIES

LIST OF FIGURES

  • FIGURE 01. AI TRAINING DATASET MARKET, 2021-2031
  • FIGURE 02. SEGMENTATION OF AI TRAINING DATASET MARKET, 2021-2031
  • FIGURE 03. TOP INVESTMENT POCKETS IN AI TRAINING DATASET MARKET (2022-2031)
  • FIGURE 04. LOW BARGAINING POWER OF SUPPLIERS
  • FIGURE 05. LOW BARGAINING POWER OF BUYERS
  • FIGURE 06. LOW THREAT OF SUBSTITUTES
  • FIGURE 07. LOW THREAT OF NEW ENTRANTS
  • FIGURE 08. LOW INTENSITY OF RIVALRY
  • FIGURE 09. DRIVERS, RESTRAINTS AND OPPORTUNITIES: GLOBALAI TRAINING DATASET MARKET
  • FIGURE 10. AI TRAINING DATASET MARKET, BY TYPE, 2021(%)
  • FIGURE 11. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR TEXT, BY COUNTRY 2021 AND 2031(%)
  • FIGURE 12. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR AUDIO, BY COUNTRY 2021 AND 2031(%)
  • FIGURE 13. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR IMAGE/VIDEO, BY COUNTRY 2021 AND 2031(%)
  • FIGURE 14. AI TRAINING DATASET MARKET, BY END USER, 2021(%)
  • FIGURE 15. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR IT AND TELECOM, BY COUNTRY 2021 AND 2031(%)
  • FIGURE 16. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR BFSI, BY COUNTRY 2021 AND 2031(%)
  • FIGURE 17. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR AUTOMOTIVE, BY COUNTRY 2021 AND 2031(%)
  • FIGURE 18. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR HEALTHCARE, BY COUNTRY 2021 AND 2031(%)
  • FIGURE 19. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR GOVERNMENT AND DEFENSE, BY COUNTRY 2021 AND 2031(%)
  • FIGURE 20. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR RETAIL, BY COUNTRY 2021 AND 2031(%)
  • FIGURE 21. COMPARATIVE SHARE ANALYSIS OF AI TRAINING DATASET MARKET FOR OTHERS, BY COUNTRY 2021 AND 2031(%)
  • FIGURE 22. AI TRAINING DATASET MARKET BY REGION, 2021
  • FIGURE 23. U.S. AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)
  • FIGURE 24. CANADA AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)
  • FIGURE 25. UK AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)
  • FIGURE 26. GERMANY AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)
  • FIGURE 27. FRANCE AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)
  • FIGURE 28. ITALY AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)
  • FIGURE 29. SPAIN AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)
  • FIGURE 30. REST OF EUROPE AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)
  • FIGURE 31. CHINA AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)
  • FIGURE 32. INDIA AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)
  • FIGURE 33. JAPAN AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)
  • FIGURE 34. AUSTRALIA AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)
  • FIGURE 35. SOUTH KOREA AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)
  • FIGURE 36. REST OF ASIA-PACIFIC AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)
  • FIGURE 37. LATIN AMERICA AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)
  • FIGURE 38. MIDDLE EAST AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)
  • FIGURE 39. AFRICA AI TRAINING DATASET MARKET, 2021-2031 ($MILLION)
  • FIGURE 40. TOP WINNING STRATEGIES, BY YEAR
  • FIGURE 41. TOP WINNING STRATEGIES, BY DEVELOPMENT
  • FIGURE 42. TOP WINNING STRATEGIES, BY COMPANY
  • FIGURE 43. PRODUCT MAPPING OF TOP 10 PLAYERS
  • FIGURE 44. COMPETITIVE DASHBOARD
  • FIGURE 45. COMPETITIVE HEATMAP: AI TRAINING DATASET MARKET
  • FIGURE 46. TOP PLAYER POSITIONING, 2021
  • FIGURE 47. GOOGLE LLC: NET REVENUE, 2020-2022 ($MILLION)
  • FIGURE 48. APPEN LIMITED: NET REVENUE, 2019-2021 ($MILLION)
  • FIGURE 49. APPEN LIMITED: REVENUE SHARE BY SEGMENT, 2021 (%)
  • FIGURE 50. APPEN LIMITED: REVENUE SHARE BY REGION, 2021 (%)
  • FIGURE 51. AMAZON WEB SERVICES INC.: NET SALES, 2019-2021 ($MILLION)
  • FIGURE 52. AMAZON WEB SERVICES INC.: REVENUE SHARE BY SEGMENT, 2021 (%)
  • FIGURE 53. AMAZON WEB SERVICES INC.: REVENUE SHARE BY REGION, 2021 (%)
  • FIGURE 54. MICROSOFT CORPORATION.: NET REVENUE, 2019-2021 ($MILLION)
  • FIGURE 55. MICROSOFT CORPORATION.: RESEARCH & DEVELOPMENT EXPENDITURE, 2019-2021 ($MILLION)
  • FIGURE 56. MICROSOFT CORPORATION.: REVENUE SHARE BY SEGMENT, 2021 (%)
  • FIGURE 57. MICROSOFT CORPORATION.: REVENUE SHARE BY REGION, 2021 (%)