机器学习即服务市场：按组件、应用程序和最终用户划分 - 俄罗斯-乌克兰衝突、高通胀的累积影响 - 2023-2030 年全球预测

全球机器学习即服务市场预计到 2023 年将大幅增长 214.8 亿美元，年复合成长率为 30.38%，到 2030 年将达到惊人的 1377.8 亿美元。

FPNV定位矩阵

FPNV 定位矩阵对于评估全球机器学习即服务市场至关重要。通过检查业务战略和产品满意度的关键指标，我们对供应商进行全面评估，使您能够根据您的具体需求做出明智的资讯。这种高级分析将供应商分为四个像限，并取得了不同程度的成功：前沿 (F)、探路者 (P)、利基 (N) 和重要 (V)。

市场份额分析

市场份额分析可以深入了解供应商在特定市场领域的当前地位。比较供应商对总收入、基本客群和其他关键指标的贡献，可以帮助公司更好地了解他们在争夺市场份额时的表现以及面临的情况。该分析还揭示了特定行业的竞争程度、积累和合併的优势以及研究基准年的合併特征。

本报告提供了以下几点见解：

1. 市场渗透率：提供有关主要企业所服务的市场的全面资讯。

2. 市场开发：提供有关利润丰厚的新兴市场的详细资讯，并分析其在成熟市场的渗透率。

3. 市场多元化：提供有关新产品发布、未开发领域、最新发展和投资的详细资讯。

4.市场趋势：全面了解COVID-19、俄罗斯-乌克兰衝突和高通胀的累积影响。

5、竞争评估与资讯：对主要企业的市场份额、战略、产品、认证、法规状况、专利状况、製造能力等进行综合评价。

6. 产品开发和创新：提供对未来技术、研发活动和突破性产品开发的见解。

本报告回答了以下问题：

1.机器学习即服务的全球市场规模和预测是多少？

2.在预测期内，COVID-19 对全球机器学习即服务市场的抑制要素和影响有哪些？

3.在预测期内，全球机器学习即服务市场需要投资哪些产品/细分市场/应用程序/领域？

4.机器学习即服务在全球市场的竞争策略是什么？

5.全球机器学习即服务市场的技术趋势和法律规范是什么？

6.全球机器学习即服务市场主要厂商的市场份额是多少？

7.什么型态和战略倡议被认为适合进入机器学习即服务的全球市场？

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
    • 物联网和自动化的采用增加
    • 增加云端基础的服务的使用
    • 需要提高各行业的绩效和运营效率
  • 抑制因素
    • 缺乏训练有素的专业人员
  • 机会
    • 通过整合认知计算、神经网络、深度学习技术和人工智能 (AI) 实现技术进步
    • 扩大医疗健康行业投资与合作
  • 任务
    • 资料安全和隐私问题
• 市场趋势
• COVID-19 的累积影响
• 俄罗斯-乌克兰衝突的累积影响
• 高通胀的累积效应
• 波特五力分析
• 价值炼和关键路径分析
• 法律规范
• 客户定制

第6章机器学习即服务市场：按组成部分

• 服务
• 软体

第7章机器学习即服务市场：按用途

• 增强现实和虚拟现实
• 欺诈检测和风险管理
• 市场营销和广告
• 预测分析
• 安全和监视

第8章机器学习即服务市场：按最终用户划分

• BFSI
• 医疗保健和生命科学
• 製造业
• 零售
• 电讯

第9章美洲机器学习即服务市场

• 阿根廷
• 巴西
• 加拿大
• 墨西哥
• 美国

第10章亚太地区机器学习即服务市场

• 澳大利亚
• 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11章欧洲、中东和非洲的机器学习即服务市场

• 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12章竞争形势

• FPNV定位矩阵
• 市场份额分析：主要企业
• 竞争情景分析：主要企业

第13章上市公司名单

第14章附录

• 讨论指南
• 关于许可和定价

The Global Machine-Learning-as-a-Service Market is forecasted to grow significantly, with a projected USD 21.48 billion in 2023 at a CAGR of 30.38% and expected to reach a staggering USD 137.78 billion by 2030.

The Cumulative Impact of COVID-19, the Russia-Ukraine Conflict, and High Inflation is expected to have significant long-term effects on the Global Machine-Learning-as-a-Service Market. The ongoing research considers the changes in consumer behavior, supply chain disruptions, and government interventions caused by the pandemic. Similarly, the report considers the ongoing political and economic uncertainty in Eastern Europe caused by the Russia-Ukraine Conflict and its potential implications for demand-supply balances, pressure on pricing variants, and import/export and trading. Additionally, the report addresses the impact of High Inflation on the global economy and details fiscal policies measuring and reducing its effects on demand, supply, cash flow, and currency exchange.

Market Segmentation & Coverage:

This research report categorizes the Global Machine-Learning-as-a-Service Market in order to forecast the revenues and analyze trends in each of following sub-markets:

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

Based on Application, market is studied across Augmented & Virtual Reality, Fraud Detection & Risk Management, Marketing & Advertising, Predictive Analytics, and Security & Surveillance. The Augmented & Virtual Reality is projected to witness significant market share during forecast period.

Based on End User, market is studied across BFSI, Healthcare & Life Sciences, Manufacturing, Retail, and Telecom. The BFSI 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 Americas commanded largest market share of 38.75% in 2022, followed by Europe, Middle East & Africa.

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 essential for assessing the Global Machine-Learning-as-a-Service Market. It provides a comprehensive evaluation of vendors by examining key metrics within Business Strategy and Product Satisfaction, allowing users to make informed decisions based on their specific needs. This advanced analysis then organizes these vendors into four distinct quadrants, which represent varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital(V).

Market Share Analysis:

The Market Share Analysis offers an insightful look at the current state of vendors in a particular market space. By comparing vendor contributions to overall revenue, customer base, and other key metrics, we can give companies a greater understanding of their performance and what they are up against when competing for market share. The analysis also sheds light on just how competitive any given sector is about accumulation, fragmentation dominance, and amalgamation traits over the base year period studied.

The report provides insights on the following pointers:

1. Market Penetration: Provides comprehensive information on the market offered by the key players

2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes penetration across mature segments of the markets

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

4. Market Trends: Provides comprehensive understanding of the Cumulative Impact of COVID-19, the Russia-Ukraine Conflict, and the High Inflation

5. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players

6. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:

1. What is the market size and forecast of the Global Machine-Learning-as-a-Service Market?

2. What are the inhibiting factors and impact of COVID-19 shaping the Global Machine-Learning-as-a-Service Market during the forecast period?

3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Machine-Learning-as-a-Service Market?

4. What is the competitive strategic window for opportunities in the Global Machine-Learning-as-a-Service Market?

5. What are the technology trends and regulatory frameworks in the Global Machine-Learning-as-a-Service Market?

6. What is the market share of the leading vendors in the Global Machine-Learning-as-a-Service Market?

7. What modes and strategic moves are considered suitable for entering the Global Machine-Learning-as-a-Service 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-as-a-Service Market, by Component, 2022 vs 2030
• 4.3. Machine-Learning-as-a-Service Market, by Application, 2022 vs 2030
• 4.4. Machine-Learning-as-a-Service Market, by End User, 2022 vs 2030
• 4.5. Machine-Learning-as-a-Service Market, by Region, 2022 vs 2030

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Rising adoption of IoT and automation
    • 5.1.1.2. Growing usage of cloud-based services
    • 5.1.1.3. Need to improve performance and operational efficiency in the several industry
  • 5.1.2. Restraints
    • 5.1.2.1. Lack of trained professionals
  • 5.1.3. Opportunities
    • 5.1.3.1. Advancements in technologies with the integration of cognitive computing, neural networks, deep learning technologies, and artificial intelligence (AI)
    • 5.1.3.2. Growing investments and collaboration in the healthcare Industry
  • 5.1.4. Challenges
    • 5.1.4.1. Data security and privacy concerns
• 5.2. Market Trends
• 5.3. Cumulative Impact of COVID-19
• 5.4. Cumulative Impact of Russia-Ukraine Conflict
• 5.5. Cumulative Impact of High Inflation
• 5.6. Porter's Five Forces Analysis
  • 5.6.1. Threat of New Entrants
  • 5.6.2. Threat of Substitutes
  • 5.6.3. Bargaining Power of Customers
  • 5.6.4. Bargaining Power of Suppliers
  • 5.6.5. Industry Rivalry
• 5.7. Value Chain & Critical Path Analysis
• 5.8. Regulatory Framework
• 5.9. Client Customization

6. Machine-Learning-as-a-Service Market, by Component

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

7. Machine-Learning-as-a-Service Market, by Application

• 7.1. Introduction
• 7.2. Augmented & Virtual Reality
• 7.3. Fraud Detection & Risk Management
• 7.4. Marketing & Advertising
• 7.5. Predictive Analytics
• 7.6. Security & Surveillance

8. Machine-Learning-as-a-Service Market, by End User

• 8.1. Introduction
• 8.2. BFSI
• 8.3. Healthcare & Life Sciences
• 8.4. Manufacturing
• 8.5. Retail
• 8.6. Telecom

9. Americas Machine-Learning-as-a-Service Market

• 9.1. Introduction
• 9.2. Argentina
• 9.3. Brazil
• 9.4. Canada
• 9.5. Mexico
• 9.6. United States

10. Asia-Pacific Machine-Learning-as-a-Service Market

• 10.1. Introduction
• 10.2. Australia
• 10.3. China
• 10.4. India
• 10.5. Indonesia
• 10.6. Japan
• 10.7. Malaysia
• 10.8. Philippines
• 10.9. Singapore
• 10.10. South Korea
• 10.11. Taiwan
• 10.12. Thailand
• 10.13. Vietnam

11. Europe, Middle East & Africa Machine-Learning-as-a-Service Market

• 11.1. Introduction
• 11.2. Denmark
• 11.3. Egypt
• 11.4. Finland
• 11.5. France
• 11.6. Germany
• 11.7. Israel
• 11.8. Italy
• 11.9. Netherlands
• 11.10. Nigeria
• 11.11. Norway
• 11.12. Poland
• 11.13. Qatar
• 11.14. Russia
• 11.15. Saudi Arabia
• 11.16. South Africa
• 11.17. Spain
• 11.18. Sweden
• 11.19. Switzerland
• 11.20. Turkey
• 11.21. United Arab Emirates
• 11.22. United Kingdom

12. Competitive Landscape

• 12.1. FPNV Positioning Matrix
• 12.2. Market Share Analysis, By Key Player
• 12.3. Competitive Scenario Analysis, By Key Player

13. List of Company Mentioned

14. Appendix

• 14.1. Discussion Guide
• 14.2. License & Pricing

LIST OF FIGURES

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

LIST OF TABLES

• TABLE 1. MACHINE-LEARNING-AS-A-SERVICE MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2022
• TABLE 3. MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 5. MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 6. MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 7. MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 8. MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY AUGMENTED & VIRTUAL REALITY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY FRAUD DETECTION & RISK MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY MARKETING & ADVERTISING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 12. MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY SECURITY & SURVEILLANCE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 14. MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY BFSI, BY REGION, 2018-2030 (USD MILLION)
• TABLE 15. MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY HEALTHCARE & LIFE SCIENCES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 16. MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 17. MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY RETAIL, BY REGION, 2018-2030 (USD MILLION)
• TABLE 18. MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY TELECOM, BY REGION, 2018-2030 (USD MILLION)
• TABLE 19. AMERICAS MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 20. AMERICAS MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 21. AMERICAS MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 22. AMERICAS MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 23. ARGENTINA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 24. ARGENTINA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 25. ARGENTINA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 26. BRAZIL MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 27. BRAZIL MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 28. BRAZIL MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 29. CANADA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 30. CANADA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 31. CANADA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 32. MEXICO MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 33. MEXICO MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 34. MEXICO MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 35. UNITED STATES MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 36. UNITED STATES MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 37. UNITED STATES MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 38. UNITED STATES MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 39. ASIA-PACIFIC MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 40. ASIA-PACIFIC MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 41. ASIA-PACIFIC MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 42. ASIA-PACIFIC MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 43. AUSTRALIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 44. AUSTRALIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 45. AUSTRALIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 46. CHINA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 47. CHINA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 48. CHINA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 49. INDIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 50. INDIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 51. INDIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 52. INDONESIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 53. INDONESIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 54. INDONESIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 55. JAPAN MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 56. JAPAN MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 57. JAPAN MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 58. MALAYSIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 59. MALAYSIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 60. MALAYSIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 61. PHILIPPINES MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 62. PHILIPPINES MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 63. PHILIPPINES MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 64. SINGAPORE MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 65. SINGAPORE MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 66. SINGAPORE MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 67. SOUTH KOREA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 68. SOUTH KOREA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 69. SOUTH KOREA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 70. TAIWAN MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 71. TAIWAN MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 72. TAIWAN MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 73. THAILAND MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 74. THAILAND MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 75. THAILAND MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 76. VIETNAM MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 77. VIETNAM MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 78. VIETNAM MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 79. EUROPE, MIDDLE EAST & AFRICA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 80. EUROPE, MIDDLE EAST & AFRICA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 81. EUROPE, MIDDLE EAST & AFRICA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 82. EUROPE, MIDDLE EAST & AFRICA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 83. DENMARK MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 84. DENMARK MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 85. DENMARK MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 86. EGYPT MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 87. EGYPT MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 88. EGYPT MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 89. FINLAND MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 90. FINLAND MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 91. FINLAND MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 92. FRANCE MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 93. FRANCE MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 94. FRANCE MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 95. GERMANY MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 96. GERMANY MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 97. GERMANY MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 98. ISRAEL MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 99. ISRAEL MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 100. ISRAEL MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 101. ITALY MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 102. ITALY MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 103. ITALY MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 104. NETHERLANDS MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 105. NETHERLANDS MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 106. NETHERLANDS MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 107. NIGERIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 108. NIGERIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 109. NIGERIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 110. NORWAY MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 111. NORWAY MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 112. NORWAY MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 113. POLAND MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 114. POLAND MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 115. POLAND MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 116. QATAR MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 117. QATAR MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 118. QATAR MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 119. RUSSIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 120. RUSSIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 121. RUSSIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 122. SAUDI ARABIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 123. SAUDI ARABIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 124. SAUDI ARABIA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 125. SOUTH AFRICA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 126. SOUTH AFRICA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 127. SOUTH AFRICA MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 128. SPAIN MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 129. SPAIN MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 130. SPAIN MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 131. SWEDEN MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 132. SWEDEN MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 133. SWEDEN MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 134. SWITZERLAND MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 135. SWITZERLAND MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 136. SWITZERLAND MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 137. TURKEY MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 138. TURKEY MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 139. TURKEY MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 140. UNITED ARAB EMIRATES MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 141. UNITED ARAB EMIRATES MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 142. UNITED ARAB EMIRATES MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 143. UNITED KINGDOM MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 144. UNITED KINGDOM MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 145. UNITED KINGDOM MACHINE-LEARNING-AS-A-SERVICE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 146. MACHINE-LEARNING-AS-A-SERVICE MARKET, FPNV POSITIONING MATRIX, 2022
• TABLE 147. MACHINE-LEARNING-AS-A-SERVICE MARKET SHARE, BY KEY PLAYER, 2022
• TABLE 148. MACHINE-LEARNING-AS-A-SERVICE MARKET LICENSE & PRICING