機器學習即服務市場：按組件、應用程式和最終用戶分類 - 俄羅斯-烏克蘭衝突、高通貨膨脹的累積影響 - 2023-2030 年全球預測

全球機器學習即服務市場預計到 2023 年將大幅成長 214.8 億美元，年複合成長率為 30.38%，到 2030 年將達到驚人的 1377.8 億美元。

FPNV定位矩陣

FPNV 定位矩陣對於評估全球機器學習即服務市場至關重要。通過檢查業務戰略和產品滿意度的關鍵指標，我們對供應商進行全面評估，使您能夠根據您的具體需求做出明智的資訊。這種高級分析將供應商分為四個像限，並取得了不同程度的成功：前沿 (F)、探路者 (P)、利基 (N) 和重要 (V)。

市場佔有率分析

市場佔有率分析可以深入了解供應商在特定市場領域的當前地位。比較供應商對總收入、基本客群和其他關鍵指標的貢獻，可以幫助公司更好地了解他們在爭奪市場佔有率時的表現以及面臨的情況。該分析還揭示了特定行業的競爭程度、積累和合併的優勢以及研究基準年的合併特徵。

本報告提供了以下幾點見解：

1. 市場滲透率：提供有關主要企業所服務的市場的全面資訊。

2. 市場開發：提供有關利潤豐厚的新興市場的詳細資訊，並分析其在成熟市場的滲透率。

3. 市場多元化：提供有關新產品發布、未開發領域、最新發展和投資的詳細資訊。

4.市場趨勢：全面了解COVID-19、俄羅斯-烏克蘭衝突和高通貨膨脹的累積影響。

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

6. 產品開發和創新：提供對未來技術、研發活動和突破性產品開發的見解。

本報告回答了以下問題：

1.機器學習即服務的全球市場規模和預測是多少？

2.在預測期內，COVID-19 對全球機器學習即服務市場的抑制要素和影響有哪些？

3.在預測期內，全球機器學習即服務市場需要投資哪些產品/細分市場/應用程式/領域？

4.機器學習即服務在全球市場的競爭策略是什麼？

5.全球機器學習即服務市場的技術趨勢和法律規範是什麼？

6.全球機器學習即服務市場主要廠商的市場佔有率是多少？

7.什麼型態和戰略舉措被認為適合進入機器學習即服務的全球市場？

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
    • 物聯網和自動化的採用增加
    • 增加雲端基礎的服務的使用
    • 需要提高各行業的績效和營運效率
  • 抑制因素
    • 缺乏訓練有素的專業人員
  • 機會
    • 通過整合認知計算、神經網路、深度學習技術和人工智慧 (AI) 實現技術進步
    • 擴大醫療健康行業投資與合作
  • 任務
    • 資料安全和隱私問題
• 市場趨勢
• COVID-19 的累積影響
• 俄羅斯-烏克蘭衝突的累積影響
• 高通貨膨脹的累積效應
• 波特五力分析
• 價值鍊和關鍵路徑分析
• 法律規範
• 客戶客製化

第6章 機器學習即服務市場：按組成部分

• 服務
• 軟體

第7章 機器學習即服務市場：按用途

• 擴增實境和虛擬實境
• 欺詐檢測和風險管理
• 市場行銷和廣告
• 預測分析
• 安全和監視

第8章 機器學習即服務市場：按最終用戶分類

• BFSI
• 醫療保健和生命科學
• 製造業
• 零售
• 電訊

第9章 美洲機器學習即服務市場

• 阿根廷
• 巴西
• 加拿大
• 墨西哥
• 美國

第10章 亞太地區機器學習即服務市場

• 澳大利亞
• 中國
• 印度
• 印度尼西亞
• 日本
• 馬來西亞
• 菲律賓
• 新加坡
• 韓國
• 台灣
• 泰國
• 越南

第11章歐洲、中東和非洲的機器學習即服務市場

• 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12章競爭形勢

• FPNV定位矩陣
• 市場佔有率分析：主要企業
• 競爭情景分析：主要企業

第13章上市公司名單

第14章附錄

• 討論指南
• 關於許可和定價

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