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市場調查報告書
商品編碼
1380081

機器學習營運市場：按組件、部署、組織規模和最終用戶 - 2023-2030 年全球預測

Machine Learning Operations Market by Component (Services, Software), Deployment (Cloud, On-Premise), Organization Size, End-User - Global Forecast 2023-2030
出版日期: | 出版商: 360iResearch | 英文 185 Pages | 商品交期: 最快1-2個工作天內

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機器學習營運市場預計將從 2022 年的 23.9 億美元增加到 2030 年的 282.6 億美元，預測期內年複合成長率為 36.15%。

全球機器學習營運市場

主要市場統計
市場金額：基準年 [2022] 23.9億美元
預計市場金額[2023] 32.4億美元
預計市場金額[2030] 282.6億美元
年複合成長率（%） 36.15%
機器學習營運市場-IMG1

FPNV定位矩陣

FPNV 定位矩陣是評估機器學習營運市場的重要工具。透過分析與業務策略和產品滿意度相關的關鍵指標來全面評估供應商。這使得使用者能夠根據自己的具體資訊做出明智的決策。進階分析將供應商分為四個像限，每個象限都有不同程度的成功：前沿 (F)、探路者 (P)、利基 (N) 和重要 (V)。這個富有洞察力的框架使決策者能夠充滿信心地駕馭市場。

市場佔有率分析

市場佔有率分析為供應商的市場形勢提供了寶貴的見解。評估對整體收益、客戶群和其他關鍵指標的影響可以全面了解公司的業績及其面臨的競爭環境。該分析還揭示了研究期間的競爭水平，例如市場佔有率成長、碎片化、主導地位和行業整合。

該報告對以下幾個方面提供了寶貴的見解：

1.市場滲透：提供有關市場動態和主要企業產品的全面資訊。

2. 市場開拓：詳細分析新興和成熟細分市場的滲透情況，以突顯利潤豐厚的商機。

3. 市場多元化：有關新產品發布、開拓地區、最新發展和投資的詳細資訊。

4.競爭評估與資訊：對主要企業的市場佔有率、策略、產品、認證、法規狀況、專利狀況、製造能力等進行綜合評估。

5. 產品開發與創新：對未來技術、研發活動和突破性產品開發的智慧洞察。

本報告解決了以下關鍵問題：

1. 機器學習營運市場的市場規模與預測是多少？

2. 機器學習營運市場中哪些產品、細分市場、應用程式和領域具有最高的投資潛力？

3.機器學習營運市場競爭策略的窗口是什麼？

4.機器學習營運市場的最新技術趨勢和法律規範是什麼？

5.機器學習營運市場主要廠商的市場佔有率是多少？

6.進入機器學習營運市場合適的型態和策略手段是什麼？

目錄

第1章 前言

第2章 調查方法

第3章 執行摘要

第4章 市場概況

第5章 市場洞察

  • 市場動態
    • 促進因素
      • 在製造業中增加機器學習的使用
      • 政府配合措施數位化最終用戶部門的數位化和自動化，以提高生產力
      • 更加重視標準化機器學習流程以改善管理
    • 抑制因素
      • 差異導致的資料管理問題
    • 機會
      • 不斷改進機器學習操作並開發新的解決方案
      • 對智慧工廠和智慧製造技術的新投資
    • 任務
      • 熟練且訓練有素的專業人員數量有限
  • 市場區隔分析
  • 市場趨勢分析
  • 高通膨的累積效應
  • 波特五力分析
  • 價值鍊和關鍵路徑分析
  • 法律規範

第6章 機器學習營運市場：按組成部分

  • 服務
  • 軟體

第7章 機器學習營運市場：按部署

  • 雲
  • 本地

第8章 機器學習營運市場：依組織規模

  • 主要企業
  • 中小企業

第9章 機器學習營運市場：依最終使用者分類

  • 航太和國防
  • 汽車和交通
  • 銀行、金融服務和保險
  • 建築、建築、房地產
  • 消費品和零售
  • 教育
  • 能源和公共
  • 政府和公共部門
  • 醫療保健和生命科學
  • 資訊科技和通訊
  • 製造業
  • 媒體和娛樂
  • 旅遊和招待

第10章 美洲機器學習營運市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第11章亞太機器學習營運市場

  • 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

第12章歐洲、中東和非洲的機器學習營運市場

  • 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章競爭形勢

  • FPNV定位矩陣
  • 市場佔有率分析：主要企業
  • 主要企業競爭情境分析

第14章競爭產品組合

  • 主要公司簡介
    • Addepto Sp. z oo
    • Alibaba Cloud International
    • Allegro Artificial Intelligence Ltd.
    • Amazon Web Services, Inc.
    • Anyscale, Inc.
    • BigML Inc.
    • Canonical Ltd.
    • Dataiku
    • DataRobot, Inc.
    • Domino Data Lab, Inc.
    • Gathr Data Inc.
    • Google LLC by Alphabet Inc.
    • Grid Dynamics Holdings, Inc.
    • H2O.ai, Inc.
    • Hewlett Packard Enterprise Company
    • Iguazio Ltd. by McKinsey & Company
    • International Business Machines Corporation
    • Microsoft Corporation
    • Neal Analytics
    • Neptune Labs, Inc.
    • Neuro Inc.
    • Oracle Corporation
    • Runai Labs Ltd.
    • SAP SE
    • SAS Institute Inc.
    • Tredence Analytics Solutions Pvt. Ltd.
    • understandAI GmbH
    • Valohai
    • Virtusa Corporation
    • Weights and Biases, Inc.
  • 主要產品系列

第15章附錄

  • 討論指南
  • 關於許可證和定價
Product Code: MRR-961BA04A2E4F

The Machine Learning Operations Market is projected to reach USD 28.26 billion by 2030 from USD 2.39 billion in 2022, at a CAGR of 36.15% during the forecast period.

Global Machine Learning Operations Market

KEY MARKET STATISTICS
Base Year Value [2022] USD 2.39 billion
Estimated Year Value [2023] USD 3.24 billion
Forecast Year Value [2030] USD 28.26 billion
CAGR (%) 36.15%
Machine Learning Operations Market - IMG1

Market Segmentation & Coverage:

This research report analyzes various sub-markets, forecasts revenues, and examines emerging trends in each category to provide a comprehensive outlook on the Machine Learning Operations Market.

Based on Component, market is studied across Services and Software. The Services is projected to witness significant market share during forecast period.

Based on Deployment, market is studied across Cloud and On-Premise. The Cloud is projected to witness significant market share during forecast period.

Based on Organization Size, market is studied across Large Enterprises and SMEs. The Large Enterprises is projected to witness significant market share during forecast period.

Based on End-User, market is studied across Aerospace & Defense, Automotive & Transportation, Banking, Financial Services & Insurance, Building, Construction & Real Estate, Consumer Goods & Retail, Education, Energy & Utilities, Government & Public Sector, Healthcare & Life Sciences, Information Technology & Telecommunication, Manufacturing, Media & Entertainment, and Travel & Hospitality. The Banking, Financial Services & Insurance is projected to witness significant market share during forecast period.

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, 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. The Asia-Pacific is projected to witness significant market share during forecast period.

Market Statistics:

The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make well-informed decisions. In this report, 2018 to 2021 are considered as historical years, 2022 is base year, 2023 is estimated year, and years from 2024 to 2030 are considered as forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix is an indispensable tool for assessing the Machine Learning Operations Market. It comprehensively evaluates vendors, analyzing key metrics related to Business Strategy and Product Satisfaction. This enables users to make informed decisions tailored to their specific needs. Through advanced analysis, vendors are categorized into four distinct quadrants, each representing a different level of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V). Be assured that this insightful framework empowers decision-makers to navigate the market with confidence.

Market Share Analysis:

The Market Share Analysis offers invaluable insights into the vendor landscape Machine Learning Operations Market. By evaluating their impact on overall revenue, customer base, and other key metrics, we provide companies with a comprehensive understanding of their performance and the competitive environment they confront. This analysis also uncovers the level of competition in terms of market share acquisition, fragmentation, dominance, and industry consolidation during the study period.

Key Company Profiles:

The report delves into recent significant developments in the Machine Learning Operations Market, highlighting leading vendors and their innovative profiles. These include Addepto Sp. z o. o., Alibaba Cloud International, Allegro Artificial Intelligence Ltd., Amazon Web Services, Inc., Anyscale, Inc., BigML Inc., Canonical Ltd., Dataiku, DataRobot, Inc., Domino Data Lab, Inc., Gathr Data Inc., Google LLC by Alphabet Inc., Grid Dynamics Holdings, Inc., H2O.ai, Inc., Hewlett Packard Enterprise Company, Iguazio Ltd. by McKinsey & Company, International Business Machines Corporation, Microsoft Corporation, Neal Analytics, Neptune Labs, Inc., Neuro Inc., Oracle Corporation, Runai Labs Ltd., SAP SE, SAS Institute Inc., Tredence Analytics Solutions Pvt. Ltd., understandAI GmbH, Valohai, Virtusa Corporation, and Weights and Biases, Inc..

The report offers valuable insights on the following aspects:

1. Market Penetration: It provides comprehensive information about key players' market dynamics and offerings.

2. Market Development: In-depth analysis of emerging markets and penetration across mature market segments, highlighting lucrative opportunities.

3. Market Diversification: Detailed information about new product launches, untapped geographies, recent developments, and investments.

4. Competitive Assessment & Intelligence: Exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of leading players.

5. Product Development & Innovation: Intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast for the Machine Learning Operations Market?

2. Which products, segments, applications, and areas hold the highest investment potential in the Machine Learning Operations Market?

3. What is the competitive strategic window for identifying opportunities in the Machine Learning Operations Market?

4. What are the latest technology trends and regulatory frameworks in the Machine Learning Operations Market?

5. What is the market share of the leading vendors in the Machine Learning Operations Market?

6. Which modes and strategic moves are suitable for entering the Machine Learning Operations Market?

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. Limitations
  • 1.7. Assumptions
  • 1.8. 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

  • 4.1. Introduction
  • 4.2. Machine Learning Operations Market, by Region

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Increasing utilization of machine learning in the manufacturing sector
      • 5.1.1.2. Government initiatives to digitalize and automate end-user sectors to boost productivity
      • 5.1.1.3. Growing focus on standardization of machine learning processes for better management
    • 5.1.2. Restraints
      • 5.1.2.1. Issues associated with data management due to discrepancies
    • 5.1.3. Opportunities
      • 5.1.3.1. Continuous improvements in machine learning operations and development of new solutions
      • 5.1.3.2. New investments in smart factory and smart manufacturing technologies
    • 5.1.4. Challenges
      • 5.1.4.1. Limited availability of skilled and trained professionals
  • 5.2. Market Segmentation Analysis
  • 5.3. Market Trend Analysis
  • 5.4. Cumulative Impact of High Inflation
  • 5.5. Porter's Five Forces Analysis
    • 5.5.1. Threat of New Entrants
    • 5.5.2. Threat of Substitutes
    • 5.5.3. Bargaining Power of Customers
    • 5.5.4. Bargaining Power of Suppliers
    • 5.5.5. Industry Rivalry
  • 5.6. Value Chain & Critical Path Analysis
  • 5.7. Regulatory Framework

6. Machine Learning Operations Market, by Component

  • 6.1. Introduction
  • 6.2. Services
  • 6.3. Software

7. Machine Learning Operations Market, by Deployment

  • 7.1. Introduction
  • 7.2. Cloud
  • 7.3. On-Premise

8. Machine Learning Operations Market, by Organization Size

  • 8.1. Introduction
  • 8.2. Large Enterprises
  • 8.3. SMEs

9. Machine Learning Operations Market, by End-User

  • 9.1. Introduction
  • 9.2. Aerospace & Defense
  • 9.3. Automotive & Transportation
  • 9.4. Banking, Financial Services & Insurance
  • 9.5. Building, Construction & Real Estate
  • 9.6. Consumer Goods & Retail
  • 9.7. Education
  • 9.8. Energy & Utilities
  • 9.9. Government & Public Sector
  • 9.10. Healthcare & Life Sciences
  • 9.11. Information Technology & Telecommunication
  • 9.12. Manufacturing
  • 9.13. Media & Entertainment
  • 9.14. Travel & Hospitality

10. Americas Machine Learning Operations Market

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

11. Asia-Pacific Machine Learning Operations 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 Machine Learning Operations 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. FPNV Positioning Matrix
  • 13.2. Market Share Analysis, By Key Player
  • 13.3. Competitive Scenario Analysis, By Key Player

14. Competitive Portfolio

  • 14.1. Key Company Profiles
    • 14.1.1. Addepto Sp. z o. o.
    • 14.1.2. Alibaba Cloud International
    • 14.1.3. Allegro Artificial Intelligence Ltd.
    • 14.1.4. Amazon Web Services, Inc.
    • 14.1.5. Anyscale, Inc.
    • 14.1.6. BigML Inc.
    • 14.1.7. Canonical Ltd.
    • 14.1.8. Dataiku
    • 14.1.9. DataRobot, Inc.
    • 14.1.10. Domino Data Lab, Inc.
    • 14.1.11. Gathr Data Inc.
    • 14.1.12. Google LLC by Alphabet Inc.
    • 14.1.13. Grid Dynamics Holdings, Inc.
    • 14.1.14. H2O.ai, Inc.
    • 14.1.15. Hewlett Packard Enterprise Company
    • 14.1.16. Iguazio Ltd. by McKinsey & Company
    • 14.1.17. International Business Machines Corporation
    • 14.1.18. Microsoft Corporation
    • 14.1.19. Neal Analytics
    • 14.1.20. Neptune Labs, Inc.
    • 14.1.21. Neuro Inc.
    • 14.1.22. Oracle Corporation
    • 14.1.23. Runai Labs Ltd.
    • 14.1.24. SAP SE
    • 14.1.25. SAS Institute Inc.
    • 14.1.26. Tredence Analytics Solutions Pvt. Ltd.
    • 14.1.27. understandAI GmbH
    • 14.1.28. Valohai
    • 14.1.29. Virtusa Corporation
    • 14.1.30. Weights and Biases, Inc.
  • 14.2. Key Product Portfolio

15. Appendix

  • 15.1. Discussion Guide
  • 15.2. License & Pricing

LIST OF FIGURES

  • FIGURE 1. MACHINE LEARNING OPERATIONS MARKET RESEARCH PROCESS
  • FIGURE 2. MACHINE LEARNING OPERATIONS MARKET SIZE, 2022 VS 2030
  • FIGURE 3. MACHINE LEARNING OPERATIONS MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. MACHINE LEARNING OPERATIONS MARKET SIZE, BY REGION, 2022 VS 2030 (%)
  • FIGURE 5. MACHINE LEARNING OPERATIONS MARKET SIZE, BY REGION, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 6. MACHINE LEARNING OPERATIONS MARKET DYNAMICS
  • FIGURE 7. MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2022 VS 2030 (%)
  • FIGURE 8. MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 9. MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2022 VS 2030 (%)
  • FIGURE 10. MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 11. MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2022 VS 2030 (%)
  • FIGURE 12. MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 13. MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2022 VS 2030 (%)
  • FIGURE 14. MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 15. AMERICAS MACHINE LEARNING OPERATIONS MARKET SIZE, BY COUNTRY, 2022 VS 2030 (%)
  • FIGURE 16. AMERICAS MACHINE LEARNING OPERATIONS MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 17. UNITED STATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY STATE, 2022 VS 2030 (%)
  • FIGURE 18. UNITED STATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY STATE, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 19. ASIA-PACIFIC MACHINE LEARNING OPERATIONS MARKET SIZE, BY COUNTRY, 2022 VS 2030 (%)
  • FIGURE 20. ASIA-PACIFIC MACHINE LEARNING OPERATIONS MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 21. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COUNTRY, 2022 VS 2030 (%)
  • FIGURE 22. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 23. MACHINE LEARNING OPERATIONS MARKET, FPNV POSITIONING MATRIX, 2022
  • FIGURE 24. MACHINE LEARNING OPERATIONS MARKET SHARE, BY KEY PLAYER, 2022

LIST OF TABLES

  • TABLE 1. MACHINE LEARNING OPERATIONS MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2022
  • TABLE 3. MACHINE LEARNING OPERATIONS MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL MACHINE LEARNING OPERATIONS MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 6. MACHINE LEARNING OPERATIONS MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 7. MACHINE LEARNING OPERATIONS MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 8. MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 9. MACHINE LEARNING OPERATIONS MARKET SIZE, BY CLOUD, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. MACHINE LEARNING OPERATIONS MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 12. MACHINE LEARNING OPERATIONS MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. MACHINE LEARNING OPERATIONS MARKET SIZE, BY SMES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 15. MACHINE LEARNING OPERATIONS MARKET SIZE, BY AEROSPACE & DEFENSE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. MACHINE LEARNING OPERATIONS MARKET SIZE, BY AUTOMOTIVE & TRANSPORTATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. MACHINE LEARNING OPERATIONS MARKET SIZE, BY BANKING, FINANCIAL SERVICES & INSURANCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. MACHINE LEARNING OPERATIONS MARKET SIZE, BY BUILDING, CONSTRUCTION & REAL ESTATE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. MACHINE LEARNING OPERATIONS MARKET SIZE, BY CONSUMER GOODS & RETAIL, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. MACHINE LEARNING OPERATIONS MARKET SIZE, BY EDUCATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. MACHINE LEARNING OPERATIONS MARKET SIZE, BY ENERGY & UTILITIES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. MACHINE LEARNING OPERATIONS MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. MACHINE LEARNING OPERATIONS MARKET SIZE, BY HEALTHCARE & LIFE SCIENCES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. MACHINE LEARNING OPERATIONS MARKET SIZE, BY INFORMATION TECHNOLOGY & TELECOMMUNICATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. MACHINE LEARNING OPERATIONS MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 26. MACHINE LEARNING OPERATIONS MARKET SIZE, BY MEDIA & ENTERTAINMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. MACHINE LEARNING OPERATIONS MARKET SIZE, BY TRAVEL & HOSPITALITY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 28. AMERICAS MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 29. AMERICAS MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 30. AMERICAS MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 31. AMERICAS MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 32. AMERICAS MACHINE LEARNING OPERATIONS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 33. ARGENTINA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 34. ARGENTINA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 35. ARGENTINA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 36. ARGENTINA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 37. BRAZIL MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 38. BRAZIL MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 39. BRAZIL MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 40. BRAZIL MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 41. CANADA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 42. CANADA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 43. CANADA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 44. CANADA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 45. MEXICO MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 46. MEXICO MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 47. MEXICO MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 48. MEXICO MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 49. UNITED STATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 50. UNITED STATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 51. UNITED STATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 52. UNITED STATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 53. UNITED STATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 54. ASIA-PACIFIC MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 55. ASIA-PACIFIC MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 56. ASIA-PACIFIC MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 57. ASIA-PACIFIC MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 58. ASIA-PACIFIC MACHINE LEARNING OPERATIONS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 59. AUSTRALIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 60. AUSTRALIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 61. AUSTRALIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 62. AUSTRALIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 63. CHINA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 64. CHINA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 65. CHINA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 66. CHINA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 67. INDIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 68. INDIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 69. INDIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 70. INDIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 71. INDONESIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 72. INDONESIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 73. INDONESIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 74. INDONESIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 75. JAPAN MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 76. JAPAN MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 77. JAPAN MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 78. JAPAN MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 79. MALAYSIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 80. MALAYSIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 81. MALAYSIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 82. MALAYSIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 83. PHILIPPINES MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 84. PHILIPPINES MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 85. PHILIPPINES MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 86. PHILIPPINES MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 87. SINGAPORE MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 88. SINGAPORE MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 89. SINGAPORE MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 90. SINGAPORE MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 91. SOUTH KOREA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 92. SOUTH KOREA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 93. SOUTH KOREA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 94. SOUTH KOREA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 95. TAIWAN MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 96. TAIWAN MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 97. TAIWAN MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 98. TAIWAN MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 99. THAILAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 100. THAILAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 101. THAILAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 102. THAILAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 103. VIETNAM MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 104. VIETNAM MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 105. VIETNAM MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 106. VIETNAM MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 107. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 108. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 109. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 110. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 111. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 112. DENMARK MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 113. DENMARK MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 114. DENMARK MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 115. DENMARK MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 116. EGYPT MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 117. EGYPT MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 118. EGYPT MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 119. EGYPT MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 120. FINLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 121. FINLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 122. FINLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 123. FINLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 124. FRANCE MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 125. FRANCE MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 126. FRANCE MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 127. FRANCE MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 128. GERMANY MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 129. GERMANY MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 130. GERMANY MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 131. GERMANY MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 132. ISRAEL MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 133. ISRAEL MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 134. ISRAEL MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 135. ISRAEL MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 136. ITALY MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 137. ITALY MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 138. ITALY MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 139. ITALY MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 140. NETHERLANDS MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 141. NETHERLANDS MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 142. NETHERLANDS MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 143. NETHERLANDS MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 144. NIGERIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 145. NIGERIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 146. NIGERIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 147. NIGERIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 148. NORWAY MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 149. NORWAY MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 150. NORWAY MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 151. NORWAY MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 152. POLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 153. POLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 154. POLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 155. POLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 156. QATAR MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 157. QATAR MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 158. QATAR MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 159. QATAR MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 160. RUSSIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 161. RUSSIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 162. RUSSIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 163. RUSSIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 164. SAUDI ARABIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 165. SAUDI ARABIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 166. SAUDI ARABIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 167. SAUDI ARABIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 168. SOUTH AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 169. SOUTH AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 170. SOUTH AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 171. SOUTH AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 172. SPAIN MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 173. SPAIN MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 174. SPAIN MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 175. SPAIN MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 176. SWEDEN MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 177. SWEDEN MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 178. SWEDEN MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 179. SWEDEN MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 180. SWITZERLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 181. SWITZERLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 182. SWITZERLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 183. SWITZERLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 184. TURKEY MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 185. TURKEY MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 186. TURKEY MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 187. TURKEY MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 188. UNITED ARAB EMIRATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 189. UNITED ARAB EMIRATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 190. UNITED ARAB EMIRATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 191. UNITED ARAB EMIRATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 192. UNITED KINGDOM MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 193. UNITED KINGDOM MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 194. UNITED KINGDOM MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 195. UNITED KINGDOM MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 196. MACHINE LEARNING OPERATIONS MARKET, FPNV POSITIONING MATRIX, 2022
  • TABLE 197. MACHINE LEARNING OPERATIONS MARKET SHARE, BY KEY PLAYER, 2022
  • TABLE 198. MACHINE LEARNING OPERATIONS MARKET LICENSE & PRICING