【レポートの概要(一部)】
1 Introduction (Page No. – 12)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Markets Covered
1.3.2 Years Considered for the Study
1.4 Currency
1.5 Limitations
1.6 Stakeholders
2 Research Methodology (Page No. – 15)
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 Key Data From Primary Sources
2.1.2.2 Key Industry Insights
2.1.2.3 Breakdown of Primary Interviews
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. – 23)
4 Premium Insights (Page No. – 26)
4.1 Attractive Market Opportunities in the Global Operational Predictive Maintenance Market
4.2 Market By Deployment Type
4.3 Operational Predictive Maintenance Global Market: By Application Area and By Region
4.4 Lifecycle Analysis, By Region, 2015
5 Market Overview (Page No. – 29)
5.1 Introduction
5.2 Market Evolution
5.3 Market Segmentation
5.3.1 By Components
5.3.2 By Service
5.3.3 By Deployment Type
5.3.4 By Application Area
5.3.5 By Region
5.4 Market Dynamics
5.4.1 Drivers
5.4.1.1 Help to Transform Maintenance Operations and Reduce Asset Downtime
5.4.1.2 Big Data and Iot Driving the Market
5.4.2 Restraints
5.4.2.1 Lack of Training for Operators
5.4.2.2 Lack of Trust in Predictive Maintenance Technologies
5.4.3 Opportunities
5.4.3.1 Increasing Demand for Real-Time Streaming Analytics
5.4.3.2 Increasing Demand From Small and Medium Enterprises
5.4.4 Challenges
5.4.4.1 Predictive Maintenance May Not Form A Part of the Overall Maintenance Process
6 Industry Trends (Page No. – 37)
6.1 Introduction
6.2 Value Chain Analysis
6.3 Strategic Benchmarking
6.4 Innovation Spotlight
7 Operational Predictive Maintenance Market Analysis, By Component (Page No. – 40)
7.1 Introduction
7.2 Solutions
7.3 Services
7.3.1 System Integration
7.3.2 Training and Support
7.3.3 Consulting
8 Operational Predictive Maintenance Market Analysis, By Deployment Type (Page No. – 47)
8.1 Introduction
8.2 Cloud
8.3 On-Premises
9 Operational Predictive Maintenance Market Analysis, By Application Area (Page No. – 51)
9.1 Introduction
9.2 Automotive
9.3 Energy and Utilities
9.4 Healthcare
9.5 Manufacturing
9.6 Government and Defense
9.7 Transportation and Logistics
9.8 Others
10 Regional Analysis (Page No. – 59)
10.1 Introduction
10.2 North America
10.3 Europe
10.4 Asia-Pacific (APAC)
10.5 Middle East and Africa (MEA)
10.6 Latin America
11 Competitive Landscape (Page No. – 74)
11.1 Overview
11.2 Competitive Situation and Trends
11.2.1 New Product Launches
11.2.2 Mergers and Acquisitions
11.2.3 New Alliances, Contracts, Partnerships, and Agreements
11.2.4 Expansions
12 Company Profiles (Page No. – 79)
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
12.1 Introduction
12.2 IBM Corporation
12.3 Software AG
12.4 SAS Institute, Inc.
12.5 General Electric
12.6 Bosch
12.7 Rockwell Automation, Inc.
12.8 PTC
12.9 Schneider Electric
12.10 SKF
12.11 Emaint Enterprises, LLC
*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.
13 Appendix (Page No. – 105)
13.1 Industry Experts
13.2 Discussion Guide
13.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
13.4 Introducing RT: Real-Time Market Intelligence
13.5 Related Reports
【レポート販売概要】
■ タイトル:予知保全ソリューションの世界市場予測(~2020)■ 英文:Operational Predictive Maintenance Market by Solution, by Service (System Integration, Training and Support, Consulting, by Deployment Type (Cloud, on-Premise), by Application Area, by Region (NA, Europe, APAC, MEA, LA) - Global Forecast to 2020
■ 発行日:2016年3月10日
■ 調査会社:MarketsandMarkets
■ 商品コード:MAM-TC-4154
■ 調査対象地域:グローバル
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