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市场调查报告书
商品编码
1380081

机器学习营运市场：按组件、部署、组织规模和最终用户 - 2023-2030 年全球预测

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个工作天内

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机器学习营运市场预计将从 2022 年的 23.9 亿美元增加到 2030 年的 282.6 亿美元，预测期内年复合成长率为 36.15%。

全球机器学习营运市场

主要市场统计
市场金额：基准年 [2022] 23.9亿美元
预计市场金额[2023] 32.4亿美元
预计市场金额[2030] 282.6亿美元
年复合成长率（%） 36.15%
机器学习营运市场-IMG1

FPNV定位矩阵

FPNV 定位矩阵是评估机器学习营运市场的重要工具。透过分析与业务策略和产品满意度相关的关键指标来全面评估供应商。这使得使用者能够根据自己的具体资讯做出明智的决策。进阶分析将供应商分为四个像限，每个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)。这个富有洞察力的框架使决策者能够充满信心地驾驭市场。

市场占有率分析

市场占有率分析为供应商的市场形势提供了宝贵的见解。评估对整体收益、客户群和其他关键指标的影响可以全面了解公司的业绩及其面临的竞争环境。该分析还揭示了研究期间的竞争水平，例如市场占有率增长、碎片化、主导地位和行业整合。

该报告对以下几个方面提供了宝贵的见解：

1.市场渗透：提供有关市场动态和主要企业产品的全面资讯。

2. 市场开拓：详细分析新兴和成熟细分市场的渗透情况，以突显利润丰厚的商机。

3. 市场多元化：有关新产品发布、开拓地区、最新发展和投资的详细资讯。

4.竞争评估与资讯：对主要企业的市场占有率、策略、产品、认证、法规状况、专利状况、製造能力等进行综合评估。

5. 产品开发与创新：对未来技术、研发活动和突破性产品开发的智慧洞察。

本报告解决了以下关键问题：

1. 机器学习营运市场的市场规模与预测是多少？

2. 机器学习营运市场中哪些产品、细分市场、应用程式和领域具有最高的投资潜力？

3.机器学习营运市场竞争策略的窗口是什么？

4.机器学习营运市场的最新技术趋势和法律规范是什么？

5.机器学习营运市场主要厂商的市场占有率是多少？

6.进入机器学习营运市场合适的型态和策略手段是什么？

目录

第1章前言

第2章调查方法

第3章执行摘要

第4章市场概况

第5章市场洞察

  • 市场动态
    • 促进因素
      • 在製造业中增加机器学习的使用
      • 政府配合措施数位化最终用户部门的数位化和自动化，以提高生产力
      • 更加重视标准化机器学习流程以改善管理
    • 抑制因素
      • 差异导致的资料管理问题
    • 机会
      • 不断改进机器学习操作并开发新的解决方案
      • 对智慧工厂和智慧製造技术的新投资
    • 任务
      • 熟练且训练有素的专业人员数量有限
  • 市场区隔分析
  • 市场趋势分析
  • 高通膨的累积效应
  • 波特五力分析
  • 价值炼和关键路径分析
  • 法律规范

第6章机器学习营运市场：按组成部分

  • 服务
  • 软体

第7章机器学习营运市场：按部署

  • 云
  • 本地

第8章机器学习营运市场：依组织规模

  • 大公司
  • 中小企业

第9章机器学习营运市场：依最终使用者划分

  • 航太和国防
  • 汽车和交通
  • 银行、金融服务和保险
  • 建筑、建筑、房地产
  • 消费品和零售
  • 教育
  • 能源和公共
  • 政府和公共部门
  • 医疗保健和生命科学
  • 资讯科技和通讯
  • 製造业
  • 媒体和娱乐
  • 旅游和招待

第10章美洲机器学习营运市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第11章亚太机器学习营运市场

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第12章欧洲、中东和非洲的机器学习营运市场

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第13章竞争形势

  • FPNV定位矩阵
  • 市场占有率分析：主要企业
  • 主要企业竞争情境分析

第14章竞争产品组合

  • 主要公司简介
    • 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.
  • 主要产品系列

第15章附录

  • 讨论指南
  • 关于许可证和定价
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