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市場調查報告書

MLaaS (Machine Learning as a Service)的全球市場:2019年∼2025年的預測

Global Machine Learning as a Service Market 2019-2025

出版商 Orion Market Research Pvt Ltd 商品編碼 919291
出版日期 內容資訊 英文
商品交期: 2-3個工作天內
價格
MLaaS (Machine Learning as a Service)的全球市場:2019年∼2025年的預測 Global Machine Learning as a Service Market 2019-2025
出版日期: 2019年11月15日內容資訊: 英文
簡介

本報告提供全球MLaaS (Machine Learning as a Service) 市場的相關調查,提供市場機會,成長及阻礙因素,用途·產業·各地區的市場分析,競爭情形,主要企業的簡介等資訊。

目錄

第1章 報告概要

  • 調查方法·工具
  • 市場分析
    • 各市場區隔
    • 各地區

第2章 市場概要及洞察

  • 報告的範圍
  • 分析師的洞察及目前市場趨勢
    • 主要調查結果
    • 建議
    • 結論
  • 規則·規定

第3章 競爭情形

  • 企業佔有率分析
  • 主要策略分析
  • 主要企業分析
    • IBM Corp.
    • Amazon Web Services, Inc.
    • Hewlett Packard Enterprise Co.
    • Microsoft Corp.
    • SAS Institute Inc.

第4章 市場決策要素

  • 成長要素
  • 阻礙因素
  • 市場機會

第5章 市場區隔

  • 各用途
    • 廣告·行銷
    • 自動網路管理
    • 風險分析·詐欺檢測
    • 預知保全
    • 其他
  • 各產業
    • 零售·消費品
    • IT·BFSI
    • 醫療保健
    • 汽車
    • 製造業
    • 政府·防衛
    • 其他

第6章 地區分析

  • 北美
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 義大利
    • 西班牙
    • 法國
    • 其他
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 其他
  • 其他地區

第7章 企業簡介

  • Amazon Web Services, Inc.
  • AT&T Inc.
  • BIGML Inc.
  • Darktrace Ltd.
  • Fair Isaac Corp.
  • Google LLC
  • H2O.ai Inc.
  • Happiest Minds
  • Hewlett Packard Enterprise Co.
  • Huawei Technologies Co., Ltd.
  • IBM Corp.
  • Iflowsoft Solutions Inc.
  • Microsoft Corp.
  • PixelCrayons
  • PurePredictive Inc.
  • Quantiphi, Inc.
  • SAS Institute Inc.
  • Sift Science Inc.
  • Unibot Ltd.
  • Yottamine Analytics LLC
目錄
Product Code: OMR2019957

Title:
Machine Learning as a Service
Market Size, Share & Trends Analysis Report, By Application (Predictive Maintenance, Risk Analytics & Fraud Detection, Advertising & Marketing, Automated Network Management, and Others), By Verticals (Retail & Consumer Goods, IT & BFSI, Healthcare, Automotive, Manufacturing, and Others) and Forecast 2019-2025.

The global machine learning as a service market is expected to witness a significant growth rate during the forecast period. The machine learning as a service market is evolving rapidly with the advancement in its application sector such as AI and due to the emergence of new computing technologies. Some of the application of machine learning as a service includes stock marker predictions, sales and marketing, financial domain, and speech recognition and face recognition.

The machine learning as a service market is segmented on the basis of application and verticals. Based on the application, the market is segmented into advertising and marketing, automated network management, predictive maintenance, risk analytics & fraud detection, and others. Automated network management is expected to exhibit considerable growth as machine learning is a pivotal tool for network analytics and automated traffic management owing to the exceptional growth of data across verticals. Further, on the basis of verticals, the market is segmented into BFSI, healthcare, IT & telecom, government & defense, and others.

Geographically, the market is segmented into four major regions: North America, Europe, Asia-Pacific and Rest of the world (RoW). Among these, North America is expected to hold a prominent position in the global machine learning as a service market. The market growth is attributed to the presence of major players such as IBM Corp., Google LLC, and Microsoft Corp. in the region. Further, the report covers the analysis of various players operating in the market. Some of the key players include Amazon.com Inc., IBM Corp., Hewlett Packard Enterprise Co., SAS Institute Inc., Microsoft Corp. Google LLC, and others.

Research Methodology

The market study of machine learning as a service market is incorporated by extensive primary and secondary research conducted by the research team at OMR. Secondary research has been conducted to refine the available data to breakdown the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geography to provide a better regional outlook. In the report, the country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior and macro-economic factors. Numbers extracted from Secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders, and industry experts. Primary research brings authenticity in our reports.

Secondary Sources Include:

  • Financial reports of companies involved in the market.
  • Whitepapers, research-papers, and news blogs.
  • Company websites and their product catalog.

The report is intended for software vendors, existing companies and new entrants into the market, potential investors and venture capitalists, technology investors, government agencies, and various end-user industries for overall market analysis and competitive analysis. The report provides an in-depth analysis on market size, products offered by the company, and future market opportunities. The report will serve as a source for 360-degree analysis of the market thoroughly delivering insights into the market for making better business decisions.

Market Segmentation

  • 1. Global Machine Learning as a Service Market Research and Analysis by Application
  • 2. Global Machine Learning as a Service Market Research and Analysis by Verticals

The Report Covers:

  • Comprehensive research methodology of global machine learning as a service market.
  • This report also includes a detailed and extensive market overview with key analyst insights.
  • An exhaustive analysis of macro and micro factors influencing the market guided by key recommendations.
  • Analysis of regional regulations and other government policies impacting global machine learning as a service market.
  • Insights about market determinants which are stimulating the global machine learning as a service market.
  • Detailed and extensive market segments with regional distribution of forecasted revenues.
  • Extensive profiles and recent developments of market players.

Table of Contents

1. Report Summary

  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Geography

2. Market Overview and Insights

  • 2.1. Scope of the Report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion
  • 2.3. Rules & Regulations

3. Competitive Landscape

  • 3.1. Company Share Analysis
  • 3.2. Key Strategy Analysis
  • 3.3. Key Company Analysis
    • 3.3.1. IBM Corp.
      • 3.3.1.1. Overview
      • 3.3.1.2. Financial Analysis
      • 3.3.1.3. SWOT Analysis
      • 3.3.1.4. Recent Developments
    • 3.3.2. Amazon Web Services, Inc.
      • 3.3.2.1. Overview
      • 3.3.2.2. Financial Analysis
      • 3.3.2.3. SWOT Analysis
      • 3.3.2.4. Recent Developments
    • 3.3.3. Hewlett Packard Enterprise Co.
      • 3.3.3.1. Overview
      • 3.3.3.2. Financial Analysis
      • 3.3.3.3. SWOT Analysis
      • 3.3.3.4. Recent Developments
    • 3.3.4. Microsoft Corp.
      • 3.3.4.1. Overview
      • 3.3.4.2. Financial Analysis
      • 3.3.4.3. SWOT Analysis
      • 3.3.4.4. Recent Developments
    • 3.3.5. SAS Institute Inc.
      • 3.3.5.1. Overview
      • 3.3.5.2. Financial Analysis
      • 3.3.5.3. SWOT Analysis
      • 3.3.5.4. Recent Developments

4. Market Determinants

  • 4.1. Motivators
  • 4.2. Restraints
  • 4.3. Opportunities

5. Market Segmentation

  • 5.1. Machine Learning as a Service Market by Application
    • 5.1.1. Advertising and Marketing
    • 5.1.2. Automated Network Management
    • 5.1.3. Risk Analytics & Fraud Detection
    • 5.1.4. Predictive Maintenance
    • 5.1.5. Others
  • 5.2. Global Machine Learning as a Service Market by Verticals
    • 5.2.1. Retail & Consumer Goods
    • 5.2.2. IT & BFSI
    • 5.2.3. Healthcare
    • 5.2.4. Automotive
    • 5.2.5. Manufacturing
    • 5.2.6. Government & Defense
    • 5.2.7. Others

6. Regional Analysis

  • 6.1. North America
    • 6.1.1. United States
    • 6.1.2. Canada
  • 6.2. Europe
    • 6.2.1. UK
    • 6.2.2. Germany
    • 6.2.3. Italy
    • 6.2.4. Spain
    • 6.2.5. France
    • 6.2.6. Rest of Europe
  • 6.3. Asia-Pacific
    • 6.3.1. China
    • 6.3.2. India
    • 6.3.3. Japan
    • 6.3.4. Rest of Asia-Pacific
  • 6.4. Rest of the World

7. Company Profiles

  • 7.1. Amazon Web Services, Inc.
  • 7.2. AT&T Inc.
  • 7.3. BIGML Inc.
  • 7.4. Darktrace Ltd.
  • 7.5. Fair Isaac Corp.
  • 7.6. Google LLC
  • 7.7. H2O.ai Inc.
  • 7.8. Happiest Minds
  • 7.9. Hewlett Packard Enterprise Co.
  • 7.10. Huawei Technologies Co., Ltd.
  • 7.11. IBM Corp.
  • 7.12. Iflowsoft Solutions Inc.
  • 7.13. Microsoft Corp.
  • 7.14. PixelCrayons
  • 7.15. PurePredictive Inc.
  • 7.16. Quantiphi, Inc.
  • 7.17. SAS Institute Inc.
  • 7.18. Sift Science Inc.
  • 7.19. Unibot Ltd.
  • 7.20. Yottamine Analytics LLC

LIST OF TABLES

  • 1. GLOBAL MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
  • 2. GLOBAL MACHINE LEARNING AS A SERVICE IN ADVERTISING AND MARKETING MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 3. GLOBAL MACHINE LEARNING AS A SERVICE IN AUTOMATED NETWORK MANAGEMENT MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 4. GLOBAL MACHINE LEARNING AS A SERVICE IN RISK ANALYTICS AND FRAUD DETECTION MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 5. GLOBAL MACHINE LEARNING AS A SERVICE IN PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 6. GLOBAL MACHINE LEARNING AS A SERVICE IN OTHER APPLICATIONS MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 7. GLOBAL MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY VERTICALS, 2018-2025 ($ MILLION)
  • 8. GLOBAL MACHINE LEARNING AS A SERVICE IN RETAIL & CONSUMER GOODS MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 9. GLOBAL MACHINE LEARNING AS A SERVICE IN IT & BFSI MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 10. GLOBAL MACHINE LEARNING AS A SERVICE IN HEALTHCARE MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 11. GLOBAL MACHINE LEARNING AS A SERVICE IN AUTOMOTIVE MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 12. GLOBAL MACHINE LEARNING AS A SERVICE IN MANUFACTURING MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 13. GLOBAL MACHINE LEARNING AS A SERVICE IN GOVERNMENT & DEFENSE MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 14. GLOBAL MACHINE LEARNING AS A SERVICE IN OTHER VERTICALS MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
  • 15. GLOBAL MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY GEOGRAPHY, 2018-2025 ($ MILLION)
  • 16. NORTH AMERICAN MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2018-2025 ($ MILLION)
  • 17. NORTH AMERICAN MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
  • 18. NORTH AMERICAN MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY VERTICALS, 2018-2025 ($ MILLION)
  • 19. EUROPEAN MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2018-2025 ($ MILLION)
  • 20. EUROPEAN MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
  • 21. EUROPEAN MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY VERTICALS, 2018-2025 ($ MILLION)
  • 22. ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2018-2025 ($ MILLION)
  • 23. ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
  • 24. ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY VERTICALS, 2018-2025 ($ MILLION)
  • 25. REST OF THE WORLD MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
  • 26. REST OF THE WORLD MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY VERTICALS, 2018-2025 ($ MILLION)

LIST OF FIGURES

  • 1. GLOBAL MACHINE LEARNING AS A SERVICE MARKET SHARE BY APPLICATION, 2018 VS 2025 (%)
  • 2. GLOBAL MACHINE LEARNING AS A SERVICE MARKET SHARE BY VERTICALS, 2018 VS 2025 (%)
  • 3. GLOBAL MACHINE LEARNING AS A SERVICE MARKET SHARE BY GEOGRAPHY, 2018 VS 2025 (%)
  • 4. US MACHINE LEARNING AS A SERVICE MARKET SIZE, 2018-2025 ($ MILLION)
  • 5. CANADA MACHINE LEARNING AS A SERVICE MARKET SIZE, 2018-2025 ($ MILLION)
  • 6. UK MACHINE LEARNING AS A SERVICE MARKET SIZE, 2018-2025 ($ MILLION)
  • 7. FRANCE MACHINE LEARNING AS A SERVICE MARKET SIZE, 2018-2025 ($ MILLION)
  • 8. GERMANY MACHINE LEARNING AS A SERVICE MARKET SIZE, 2018-2025 ($ MILLION)
  • 9. ITALY MACHINE LEARNING AS A SERVICE MARKET SIZE, 2018-2025 ($ MILLION)
  • 10. SPAIN MACHINE LEARNING AS A SERVICE MARKET SIZE, 2018-2025 ($ MILLION)
  • 11. REST OF EUROPE MACHINE LEARNING AS A SERVICE MARKET SIZE, 2018-2025 ($ MILLION)
  • 12. INDIA MACHINE LEARNING AS A SERVICE MARKET SIZE, 2018-2025 ($ MILLION)
  • 13. CHINA MACHINE LEARNING AS A SERVICE MARKET SIZE, 2018-2025 ($ MILLION)
  • 14. JAPAN MACHINE LEARNING AS A SERVICE MARKET SIZE, 2018-2025 ($ MILLION)
  • 15. REST OF ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET SIZE, 2018-2025 ($ MILLION)
  • 16. REST OF THE WORLD MACHINE LEARNING AS A SERVICE MARKET SIZE, 2018-2025 ($ MILLION)