MLaaS（クラウド式機械学習サービス）の世界市場予測...市場調査レポートについてご紹介

1 Introduction (Page No. – 14)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Markets Covered
1.3.2 Years Considered
1.4 Currency
1.5 Limitations
1.6 Stakeholders

2 Research Methodology (Page No. – 18)
2.1 Research Data
2.1.1 Secondary Data
2.1.1.1 Key Data From Secondary Sources
2.1.2 Primary Data
2.1.2.1 Data From Primary Sources
2.1.2.2 Key Industry Insights
2.1.2.3 Breakdown of Primaries
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.2 Top-Down Approach
2.3 Market Breakdown and Data Triangulation
2.4 Research Assumptions

3 Executive Summary (Page No. – 26)

4 Premium Insights (Page No. – 31)
4.1 Attractive Opportunities in the Machine Learning as a Service Market
4.2 Market: Enterprise Applications
4.3 Global Market, By Region and Industry Vertical
4.4 Market Potential
4.5 Lifecycle Analysis, By Region, 2016

5 Market Overview (Page No. – 34)
5.1 Introduction
5.2 Market Segmentation
5.2.1 By Component
5.2.2 By Organization Size
5.2.3 By Enterprise Application
5.2.4 By Industry Vertical
5.2.5 By Region
5.3 Market Dynamics
5.3.1 Drivers
5.3.1.1 Adoption of Cloud-Based Technologies
5.3.1.2 Strong Need to Understand Customer Behavior
5.3.1.3 Advancements in Technologies
5.3.2 Restraints
5.3.2.1 Government and Compliance Issues
5.3.2.2 Lack of Skilled Consultants to Deploy Machine Learning Services
5.3.3 Opportunities
5.3.3.1 Emerging Options in Application Areas
5.3.3.2 Increasing Investments in the Healthcare Industry
5.3.3.3 Improved Connectivity and Increase in Data From IoT Platforms
5.3.4 Challenges
5.3.4.1 Need for Effective Predictive Technologies
5.3.4.2 Integration Into the Enterprises

6 Industry Trends (Page No. – 43)
6.1 Introduction
6.2 Machine Learning as a Service: Evolution
6.3 Machine Learning as a Service: Value Chain Analysis
6.4 Standards and Regulations
6.4.1 Introduction
6.4.2 Cloud Computing Association (CCA)
6.4.3 Storage Networking Industry Association (SNIA)
6.4.4 International Organization for Standardization
6.4.5 International Telecommunication Union

7 Machine Learning as a Service Market Analysis, By Component (Page No. – 47)
7.1 Introduction
7.2 Software Tools
7.2.1 Data Storage and Archiving
7.2.2 Modeler and Processing
7.2.3 Cloud and Web-Based Application Programming Interface
7.2.4 Others
7.3 Services
7.3.1 Professional Services
7.3.2 Managed Services

8 Machine Learning as a Service Market Analysis, By Application (Page No. – 58)
8.1 Introduction
8.2 Marketing and Advertising
8.3 Fraud Detection and Risk Analytics
8.4 Predictive Maintenance
8.5 Augmented Reality
8.6 Network Analytics and Automated Traffic Management
8.7 Others

9 Machine Learning as a Service Market Analysis, By Organization Size (Page No. – 69)
9.1 Introduction
9.2 Small and Medium Enterprises
9.3 Large Enterprises

10 Machine Learning as a Service Market Analysis, By Vertical (Page No. – 73)
10.1 Introduction
10.2 Education
10.3 Banking and Financial Services
10.4 Insurance
10.5 Automotive and Transportation
10.6 Healthcare
10.7 Defense
10.8 Retail and E-Commerce
10.9 Media and Entertainment
10.10 Telecom
10.11 Others

11 Geographic Analysis (Page No. – 83)
11.1 Introduction
11.2 Geographical Segment
11.2.1 North America
11.2.2 Europe
11.2.3 Asia-Pacific
11.2.4 Rest of the World (RoW)

12 Competitive Landscape (Page No. – 100)
12.1 Overview
12.2 Competitive Situation and Trends
12.2.1 New Product Launches and Enhancements
12.2.2 Partnerships, Agreements, and Collaborations
12.2.3 Mergers and Acquisitions
12.2.4 Business Expansions

13 Company Profiles (Page No. – 105)
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
13.1 Introduction
13.2 Microsoft
13.3 International Business Machine Corporation
13.4 Amazon Web Services
13.5 Google, Inc.
13.6 BigML, Inc.
13.7 FICO
13.8 Hewlett-Packard Enterprise Development Lp.

*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.

14 Key Innovators (Page No. – 126)
14.1 AT&T
14.2 Fuzzy.Ai
14.3 Yottamine Analytics, LLC
14.4 Ersatz Labs, Inc.
14.5 Sift Science, Inc.

15 Appendix (Page No. – 129)
15.1 Industry Experts
15.2 Discussion Guide
15.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
15.4 Introducing RT: Real-Time Market Intelligence
15.5 Related Reports