Predictive Maintenance for Manufacturing Market 2019
The predictive maintenance market for manufacturing industry has witnessed an upsurge in the past four years with the introduction of advanced technologies such as Big Data & analytics, machine learning, deep learning, and artificial intelligence. As a result of the increasing adoption of these advanced technologies, a transition from on-premise deployment models to cloud is witnessed in the global predictive maintenance market for manufacturing industry.
Based on the deployment model, the predictive maintenance market for manufacturing industry is subsegmented into on-premise and cloud. In 2017, on-premise segment is expected to dominate the predictive maintenance market for manufacturing industry. However, the cloud segment is expected to exhibit a higher double-digit growth rate during the forecast period in the global predictive maintenance market for manufacturing industry owing to the increasing demand for adopting cloud technology across all the regions.
In 2018, the global Predictive Maintenance for Manufacturing market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.
This report focuses on the global Predictive Maintenance for Manufacturing status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Predictive Maintenance for Manufacturing development in United States, Europe and China.
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The key players covered in this study
IBM
Software AG
SAS Institute
PTC, Inc
SAP SE
General Electric
Robert Bosch GmbH
Rockwell Automation
Schneider Electric
eMaint Enterprises
Market segment by Type, the product can be split into
On-Premise
Cloud-Based
Market segment by Application, split into
Automotive
Aerospace & Defense
Machinery & Equipment
Power Industry
Others
Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America
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Table of Contents –Analysis of Key Points
1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.4.1 Global Predictive Maintenance for Manufacturing Market Size Growth Rate by Type (2014-2025)
1.4.2 On-Premise
1.4.3 Cloud-Based
1.5 Market by Application
1.5.1 Global Predictive Maintenance for Manufacturing Market Share by Application (2014-2025)
1.5.2 Automotive
1.5.3 Aerospace & Defense
1.5.4 Machinery & Equipment
1.5.5 Power Industry
1.5.6 Others
1.6 Study Objectives
1.7 Years Considered
2 Global Growth Trends
2.1 Predictive Maintenance for Manufacturing Market Size
2.2 Predictive Maintenance for Manufacturing Growth Trends by Regions
2.2.1 Predictive Maintenance for Manufacturing Market Size by Regions (2014-2025)
2.2.2 Predictive Maintenance for Manufacturing Market Share by Regions (2014-2019)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Opportunities
3 Market Share by Key Players
3.1 Predictive Maintenance for Manufacturing Market Size by Manufacturers
3.1.1 Global Predictive Maintenance for Manufacturing Revenue by Manufacturers (2014-2018)
3.1.2 Global Predictive Maintenance for Manufacturing Revenue Market Share by Manufacturers (2014-2018)
3.1.3 Global Predictive Maintenance for Manufacturing Market Concentration Ratio (CR5 and HHI)
3.2 Predictive Maintenance for Manufacturing Key Players Head office and Area Served
3.3 Key Players Predictive Maintenance for Manufacturing Product/Solution/Service
3.4 Date of Enter into Predictive Maintenance for Manufacturing Market
3.5 Mergers & Acquisitions, Expansion Plans
……
12 International Players Profiles
12.1 IBM
12.1.1 IBM Company Details
12.1.2 Company Description and Business Overview
12.1.3 Predictive Maintenance for Manufacturing Introduction
12.1.4 IBM Revenue in Predictive Maintenance for Manufacturing Business (2014-2019)
12.1.5 IBM Recent Development
12.2 Software AG
12.2.1 Software AG Company Details
12.2.2 Company Description and Business Overview
12.2.3 Predictive Maintenance for Manufacturing Introduction
12.2.4 Software AG Revenue in Predictive Maintenance for Manufacturing Business (2014-2019)
12.2.5 Software AG Recent Development
12.3 SAS Institute
12.3.1 SAS Institute Company Details
12.3.2 Company Description and Business Overview
12.3.3 Predictive Maintenance for Manufacturing Introduction
12.3.4 SAS Institute Revenue in Predictive Maintenance for Manufacturing Business (2014-2019)
12.3.5 SAS Institute Recent Development
12.4 PTC, Inc
12.4.1 PTC, Inc Company Details
12.4.2 Company Description and Business Overview
12.4.3 Predictive Maintenance for Manufacturing Introduction
12.4.4 PTC, Inc Revenue in Predictive Maintenance for Manufacturing Business (2014-2019)
12.4.5 PTC, Inc Recent Development
12.5 SAP SE
12.5.1 SAP SE Company Details
12.5.2 Company Description and Business Overview
12.5.3 Predictive Maintenance for Manufacturing Introduction
12.5.4 SAP SE Revenue in Predictive Maintenance for Manufacturing Business (2014-2019)
12.5.5 SAP SE Recent Development
12.6 General Electric
12.6.1 General Electric Company Details
12.6.2 Company Description and Business Overview
12.6.3 Predictive Maintenance for Manufacturing Introduction
12.6.4 General Electric Revenue in Predictive Maintenance for Manufacturing Business (2014-2019)
12.6.5 General Electric Recent Development
12.7 Robert Bosch GmbH
12.7.1 Robert Bosch GmbH Company Details
12.7.2 Company Description and Business Overview
12.7.3 Predictive Maintenance for Manufacturing Introduction
12.7.4 Robert Bosch GmbH Revenue in Predictive Maintenance for Manufacturing Business (2014-2019)
12.7.5 Robert Bosch GmbH Recent Development
12.8 Rockwell Automation
12.8.1 Rockwell Automation Company Details
12.8.2 Company Description and Business Overview
12.8.3 Predictive Maintenance for Manufacturing Introduction
12.8.4 Rockwell Automation Revenue in Predictive Maintenance for Manufacturing Business (2014-2019)
12.8.5 Rockwell Automation Recent Development
Continued…..
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