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市場調查報告書

雲端型機器學習的全球市場的各零件(軟體,服務),不同企業規模(大企業,中小企業),各最終用途,各應用領域的機會分析與預測

Machine Learning as a Service Market by Component (Software and Services), by Organization Size (Large Enterprises and Small & Medium Enterprises), by End-Use Industry, and by Application - Global Opportunity Analysis and Industry Forecast, 2016-2023

出版商 Allied Market Research 商品編碼 563346
出版日期 內容資訊 英文 204 Pages
商品交期: 最快1-2個工作天內
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雲端型機器學習的全球市場的各零件(軟體,服務),不同企業規模(大企業,中小企業),各最終用途,各應用領域的機會分析與預測 Machine Learning as a Service Market by Component (Software and Services), by Organization Size (Large Enterprises and Small & Medium Enterprises), by End-Use Industry, and by Application - Global Opportunity Analysis and Industry Forecast, 2016-2023
出版日期: 2017年08月01日 內容資訊: 英文 204 Pages
簡介

本報告提供雲端型機器學習的全球市場相關資料,涵括零組件,企業規模,最終用途,應用,各地區的分析,再加上主要企業簡介等資訊。

第1章 簡介

  • 報告概要
  • 主要的優點
  • 主要市場分類
  • 調查手法

第2章 摘要整理

  • CXO的見解

第3章 市場概要

  • 市場定義和範圍
  • 主要調查結果
    • 主要的影響因素
    • 主要的勝利策略
    • 主要的投資源
  • 波特的五力分析
  • 市場企業的地位
  • 市場動態
    • 促進要素
    • 抑制因素
    • 市場機會

第4章 雲端型機器學習市場:各零件

  • 概要
  • 軟體
  • 服務

第5章 雲端型機器學習市場:不同企業規模

  • 概要
  • 大企業
  • 中小企業

第6章 雲端型機器學習市場:各最終用途

  • 概要
  • 航空·防衛
  • IT·通訊
  • 能源·公共產業
  • 公共領域
  • 製造
  • 銀行·金融服務·保險
  • 醫療
  • 零售
  • 其他

第7章 雲端型機器學習市場:各應用領域

  • 概要
  • 行銷·廣告
  • 詐欺偵測·風險管理
  • 預測分析
  • 擴增實境·虛擬實境
  • 自然語言處理
  • 電腦視覺
  • 安全·監視
  • 其他

第8章 雲端型機器學習市場:各地區

  • 概要
  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 其他
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他
  • 南美·中東·非洲

第9章 企業簡介

目錄
Product Code: IC 172692

Machine learning is a process of data analysis that comprises of statistical data analysis performed to derive desired predictive output without the implementation of explicit programming. It is designed to incorporate the functionalities of artificial intelligence (AI) and cognitive computing involving a series of algorithms and is used to understand the relationship between datasets to obtain a desired output. Machine learning as a service (MLaaS) incorporates range of services that offer machine learning tools through cloud computing services. The global machine learning as a service market was valued at $571 million in 2016, and is projected to reach $5,537 million by 2023, growing at a CAGR of 39.0% from 2017 to 2023.

Increased penetration of cloud-based solutions, growth associated with artificial intelligence and cognitive computing market, and increase in market for prediction solutions drive the market growth. In addition, growth in IT expenditure in emerging nations and technological advancements for workflow optimization fuel the demand for advanced analytical systems driving the machine learning as a service market growth. However, dearth of trained professionals is expected to impede the machine learning as a service market share. Furthermore, increased application areas and growth of IoT is expected to create lucrative opportunities for machine learning as a service market growth.

The global machine learning as a service market is segmented based on component, organization size, end-use industry, application, and geography. The component segment is bifurcated into software and services. Based on organization size, it is divided into large enterprises and small & medium enterprises. The application segment is categorized into marketing & advertising, fraud detection & risk management, predictive analytics, augmented & virtual reality, natural language processing, computer vision, security & surveillance, and others. On the basis of end-use industry, it is classified into aerospace & defense, IT & telecom, energy & utilities, public sector, manufacturing, BFSI, healthcare, retail, and others. By geography, the machine learning as a service market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Key players that operate in the machine learning as a service market are Google Inc., SAS Institute Inc., FICO, Hewlett Packard Enterprise, Yottamine Analytics, Amazon Web Services, BigML, Inc., Microsoft Corporation, Predictron Labs Ltd., and IBM Corporation.

KEY BENEFITS FOR STAKEHOLDERS

  • This report provides an overview of the trends, structure, drivers, challenges, and opportunities in the global machine learning as a service market.
  • Porter's Five Forces analysis highlights the potential of buyers & suppliers, and provides insights on the competitive structure of the market to determine the investment pockets.
  • Current and future trends adopted by the key market players are highlighted to determine overall competitiveness.
  • The quantitative analysis of the machine learning as a service market growth from 2017 to 2023 is provided to elaborate the market potential.

Key Market Segments

By Component

  • Software
  • Services

By Organization Size

  • Large Enterprises
  • Small & Medium Enterprises

By End-Use Industry

  • Aerospace & Defence
  • IT & Telecom
  • Energy & Utilities
  • Public sector
  • Manufacturing
  • BFSI
  • Healthcare
  • Retail
  • Others

By Application

  • Marketing & Advertising
  • Fraud Detection & Risk Management
  • Predictive analytics
  • Augmented & Virtual reality
  • Natural Language processing
  • Computer vision
  • Security & surveillance
  • Others

By Geography

  • North America
  • U.S.
  • Canada
  • Mexico
  • Europe
  • UK
  • France
  • Germany
  • Rest of Europe
  • Asia-Pacific
  • China
  • Japan
  • India
  • Rest of Asia-Pacific
  • LAMEA
  • Latin America
  • Middle East
  • Arica
  • Key players profiled in the report
  • Google Inc.
  • SAS Institute Inc.
  • FICO
  • Hewlett Packard Enterprise
  • Yottamine Analytics
  • Amazon Web Services
  • BigML, Inc.
  • Microsoft Corporation
  • Predictron Labs Ltd.
  • IBM Corporation

Table of Contents

CHAPTER 1 INTRODUCTION

  • 1.1. REPORT DESCRIPTION
  • 1.2. KEY BENEFITS
  • 1.3. KEY MARKET SEGMENTS
  • 1.4. KEY MARKET SEGMENTATION
  • 1.5. RESEARCH METHODOLOGY
    • 1.5.1. Secondary research
    • 1.5.2. Primary research
    • 1.5.3. Analyst tools and models

CHAPTER 2 EXECUTIVE SUMMARY

  • 2.1. CXO PERSPECTIVE

CHAPTER 3 MARKET OVERVIEW

  • 3.1. MARKET DEFINITION AND SCOPE
  • 3.2. KEY FINDINGS
    • 3.2.1. Top impacting factors
    • 3.2.2. Top investment pockets
    • 3.2.3. Top winning strategies
  • 3.3. PORTERS FIVE FORCES ANALYSIS
    • 3.3.1. Moderate-to-low bargaining power of suppliers
    • 3.3.2. Moderate-to-low bargaining power of buyers
    • 3.3.3. Moderate-to-high threat of substitutes
    • 3.3.4. High threat of new entrants
    • 3.3.5. Moderate-to-high competitive rivalry
  • 3.4. KEY PLAYER POSITIONING, 2016 (%)
  • 3.5. MARKET DYNAMICS
    • 3.5.1. Drivers
      • 3.5.1.1. Increased market for cloud computing
      • 3.5.1.2. Growth associated with artificial intelligence and cognitive computing
    • 3.5.2. Restraints
      • 3.5.2.1. Dearth of trained professionals.
    • 3.5.3. Opportunities
      • 3.5.3.1. Increased adoption of analytical solutions
      • 3.5.3.2. Increased application areas

CHAPTER 4 GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT

  • 4.1. OVERVIEW
  • 4.2. SOFTWARE
    • 4.2.1. Key market trends
    • 4.2.2. Key growth factors and opportunities
    • 4.2.3. Market size and forecast
  • 4.3. SERVICES
    • 4.3.1. Key market trends
    • 4.3.2. Key growth factors and opportunities
    • 4.3.3. Market size and forecast

CHAPTER 5 GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE

  • 5.1. OVERVIEW
  • 5.2. LARGE ENTERPRISES
    • 5.2.1. Key market trends
    • 5.2.2. Key growth factors and opportunities
    • 5.2.3. Market size and forecast
  • 5.3. SMALL AND MEDIUM ENTERPRISES
    • 5.3.1. Key market trends
    • 5.3.2. Key growth factors and opportunities
    • 5.3.3. Market size and forecast

CHAPTER 6 GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY

  • 6.1. OVERVIEW
  • 6.2. AEROSPACE & DEFENCE
    • 1.2.1. Key market trends
    • 1.2.1 Key Growth Factors and Opportunities
    • 1.2.2. Market size and forecast
  • 6.3. IT & TELECOM
    • 1.2.3. Key market trends
    • 1.3.1 Key Growth Factors and Opportunities
    • 1.2.4. Market size and forecast
  • 6.4. ENERGY & UTILITIES
    • 1.2.5. Key market trends
    • 1.3.2 Key Growth factors and Opportunities
    • 1.2.6. Market size and forecast
  • 6.5. PUBLIC SECTOR
    • 1.2.7. Key market trends
    • 1.4.1 Key Growth Factors and Opportunities
    • 1.2.8. Market size and forecast
  • 6.6. MANUFACTURING
    • 1.2.9. Key market trends
    • 1.3.3 Key Growth factors and Opportunities
    • 1.2.10. Market size and forecast
  • 6.7. BANKING, FINANCIAL SERVICES, & INSURANCE (BFSI)
    • 1.2.11. Key market trends
    • 1.3.4 Key Growth Factors and Opportunities
    • 1.2.12. Market size and forecast
  • 6.8. HEALTHCARE
    • 1.2.13. Key market trends
    • 1.6.1 Key Growth Factors and Opportunities
    • 1.2.14. Market size and forecast
  • 6.9. RETAIL
    • 1.2.15. Key market trends
    • 1.5.1 Key Growth Factors and Opportunities
    • 1.2.16. Market size and forecast
  • 6.10. OTHERS
    • 1.2.17. Key market trends
    • 1.3.5 Key Growth factors and Opportunities
    • 1.2.18. Market size and forecast

CHAPTER 7 GLOBAL COMMERCIAL AIRCRAFT HEATH MONITORING SYSTEM MARKET, BY APPLICATION

  • 7.1. OVERVIEW
  • 7.2. MARKETING AND ADVERTISING
    • 7.2.1. Key market trends
    • 7.2.2. Key growth factors and opportunities
    • 7.2.3. Market size and forecast
  • 7.3. FRAUD DETECTION AND RISK MANAGEMENT
    • 7.3.1. Key market trends
    • 7.3.2. Key growth factors and opportunities
    • 7.3.3. Market size and forecast
  • 7.4. PREDICTIVE ANALYTICS
    • 7.4.1. Key market trends
    • 7.4.2. Key growth factors and opportunities
    • 7.4.3. Market size and forecast
  • 7.5. AUGMENTED & VIRTUAL REALITY
    • 7.5.1. Key market trends
    • 7.5.2. Key growth factors and opportunities
    • 7.5.3. Market size and forecast
  • 7.6. NATURAL LANGUAGE PROCESSING
    • 7.6.1. Key market trends
    • 7.6.2. Key growth factors and opportunities
    • 7.6.3. Market size and forecast
  • 7.7. COMPUTER VISION
    • 7.7.1. Key market trends
    • 7.7.2. Key growth factors and opportunities
    • 7.7.3. Market size and forecast
  • 7.8. SECURITY AND SURVEILLANCE
    • 7.8.1. Key market trends
    • 7.8.2. Key growth factors and opportunities
    • 7.8.3. Market size and forecast
  • 7.9. OTHERS
    • 7.9.1. Key market trends
    • 7.9.2. Key growth factors and opportunities
    • 7.9.3. Market size and forecast

CHAPTER 8 MACHINE LEARNING AS A SERVICE MARKET, BY REGION

  • 8.1. OVERVIEW
  • 8.2. NORTH AMERICA
    • 8.2.1. Key market trends
    • 8.2.2. Key growth factors and opportunities
    • 8.2.3. Market size and forecast
      • 8.2.3.1. Market size and forecast by country
      • 8.2.3.2. U.S.
      • 8.2.3.3. Market size and forecast
      • 8.2.3.4. Canada
      • 8.2.3.5. Market size and forecast
      • 8.2.3.6. Mexico
      • 8.2.3.7. Market size and forecast
  • 8.3. EUROPE
    • 8.3.1. Key market trends
    • 8.3.2. Key growth factors and opportunities
    • 8.3.3. Market size and forecast
      • 8.3.3.1. Market size and forecast by country
      • 8.3.3.2. UK
      • 8.3.3.3. Market size and forecast
      • 8.3.3.4. Germany
      • 8.3.3.5. Market size and forecast
      • 8.3.3.6. France
      • 8.3.3.7. Market size and forecast
      • 8.3.3.8. Rest of Europe
      • 8.3.3.9. Market size and forecast
  • 8.4. ASIA-PACIFIC
    • 8.4.1. Key market trends
    • 8.4.2. Key growth factors and opportunities
    • 8.4.3. Market size and forecast
      • 8.4.3.1. Market size and forecast by country
      • 8.4.3.2. China
      • 8.4.3.3. Market size and forecast
      • 8.4.3.4. Japan
      • 8.4.3.5. Market size and forecast
      • 8.4.3.6. India
      • 8.4.3.7. Market size and forecast
      • 8.4.3.8. Rest of Asia-Pacific
      • 8.4.3.9. Market size and forecast
  • 8.5. LATIN AMERICA, THE MIDDLE EAST, & AFRICA (LAMEA)
    • 8.5.1. Key market trends
    • 8.5.2. Key growth factors and opportunities
    • 8.5.3. Market size and forecast
      • 8.5.3.1. Market size and forecast by region
      • 8.5.3.2. Latin America
      • 8.5.3.3. Market size and forecast
      • 8.5.3.4. Middle East
      • 8.5.3.5. Market size and forecast
      • 8.5.3.6. Africa
      • 8.5.3.7. Market size and forecast

CHAPTER 9 COMPANY PROFILES

  • 9.1. GOOGLE INC.
    • 9.1.1. Company Overview
    • 9.1.2. Financial performance
    • 9.1.3. Key strategies & developments
  • 9.2. SAS INSTITUTE INC.
    • 9.2.1. Company Overview
    • 9.2.2. Financial performance
    • 9.2.3. Key strategies & developments
  • 9.3. FICO
    • 9.3.1. Company Overview
    • 9.3.2. Financial performance
    • 9.3.3. Key strategies & developments
  • 9.4. HEWLETT PACKARD ENTERPRISE
    • 9.4.1. Company Overview
    • 9.4.2. Financial performance
    • 9.4.3. Key strategies & developments
  • 9.5. YOTTAMINE ANALYTICS
    • 9.5.1. Company Overview
    • 9.5.2. Financial performance
    • 9.5.3. Key strategies & developments
  • 9.6. AMAZON WEB SERVICES
    • 9.6.1. Company Overview
    • 9.6.2. Financial performance
    • 9.6.3. Key strategies & developments
  • 9.7. BIGML, INC.
    • 9.7.1. Company Overview
    • 9.7.2. Financial performance
    • 9.7.3. Key strategies & developments
  • 9.8. MICROSOFT CORPORATION
    • 9.8.1. Company Overview
    • 9.8.2. Financial performance
    • 9.8.3. Key strategies & developments
  • 9.9. PREDICTRON LABS LTD.
    • 9.9.1. Company Overview
    • 9.9.2. Financial performance
    • 9.9.3. Key strategies & developments
  • 9.10. IBM CORPORATION
    • 9.10.1. Company Overview
    • 9.10.2. Financial performance
    • 9.10.3. Key strategies & developments
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