Predictive Maintenance Market 2018 Global Key Players: General Electric, Rockwell Automation, SAP SE, Warwick Analytics, RapidMiner, PTC, SKF, Robert Bosch

Market Research Future published a research report on “Predictive Maintenance Market Research Report- Forecast to 2022” – Market Analysis, Scope, Stake, Progress, Trends and Forecast to 2022.

Predictive Maintenance Global Market - Overview

The global predictive maintenance market is growing with the rapid pace is mainly as it reduces time and cost required for maintenance. The rising dependence on big data and emerging concepts such as the Internet of Things (IoT) is boosting the growth of predictive maintenance market. According to a recent study report published by the Market Research Future, The global market of Predictive Maintenance is booming and expected to gain prominence over the forecast period. The market is projected to demonstrate a spectacular growth by 2022, surpassing its previous growth records in terms of value with a striking CAGR during the anticipated period (2016 – 2022).

The global Predictive Maintenance Market is driven by the rising focus of organizations on reducing the operational cost. On the other hand, the lack of training for operators and lack of trust in predictive maintenance technology are some of the factors hindering the growth of predictive maintenance market. The predictive maintenance market is highly competitive due to its ability to specifically predict asset failure before its implementation thereby benefitting the organizations in monitor their operations efficiently.

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Industry News

Sep, 12, 2017 - International Business Machines Corporation has announced Faurecia, the market leader of automotive suppliers got selected IBM Cloud as a support of a major digital business transformation. With this announcement, the company is providing data lake which is built with IBM’s Cloud platform. This platform enables to capture and store data from its 24x7 worldwide manufacturing environment.

April 24, 2017 - Huawei Technologies Co. Ltd. and General Electric has unveiled industrial cloud-based predictive maintenance solution across the world. Industrial Internet cloud platform which allows rapid end-to-end connectivity between industrial assets and cloud applications. The organization are using cloud-based predictive maintenance solution that are allowing real-time machine health monitoring, data analysis and perception, and smart maintenance decision-making.

June 15, 2016 – Software AG and Dell has revealed new Internet of Things architecture which enables to perform real time streaming analytics at the edge of the network, close to digital devices and sensors to the organizations. With this, the companies are aiming on Preventative and Predictive Maintenance, with IoT use case solutions in the coming years

Key Players

The prominent players in the Predictive Maintenance Market are – IBM (U.S.), SAP SE (Germany), Software AG (Germany), General Electric (U.S.), Robert Bosch (Germany), Rockwell Automation (U.S.), PTC (U.S.), Warwick Analytics (U.K.), RapidMiner (U.S.), Schneider Electric SE (France), eMaint Enterprises, LLC (U.S.) and SKF (Sweden) among others.

Segments:

Predictive Maintenance by Component:

By Solution

By Service

• Support and Maintenance
• System integration
• Consulting

Predictive Maintenance by Techniques:

• Vibration monitoring
• Oil analysis
• Visual inspection
• Shock pulse
• Ultrasonic leak detectors
• Electrical insulation
• Performance testing
• Wear and dimensional measurements
• Signature analysis, time and frequency domain
• Nondestructive testing

Predictive Maintenance by Deployment Type:

• Cloud
• On premise

Predictive Maintenance by End-user:

• Manufacturing
• Aerospace & defense
• Healthcare
• Automotive
• Transportation
• Government

Regional Analysis:

The regional analysis of Predictive Maintenance market is being studied for region such as Asia pacific, North America, Europe and Rest of the World. The study indicates that North America region would dominate the Predictive Maintenance market by the forecast period owing to the presence of a large number of solution and service vendors. The study indicates that Asia-Pacific countries like China, Japan, South Korea, India and others are highly investing to increase the efficiency of production assets. The study reveals that Asia-Pacific region would show a positive growth in predictive maintenance market by the forecast period.

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Target Audience:

• Hardware OEM
• Industries
• Architecture & engineering department
• Research & consultants
• Distributors and resellers
• Government

TABLE OF CONTENTS

1 Market Introduction

1.1 Introduction
1.2 Scope Of Study
1.2.1 Research Objective
1.2.2 Assumptions
1.2.3 Limitations
1.3 Market Structure

2 Research Methodology

2.1 Research Network Solution
2.2 Primary Research
2.3 Secondary Research
2.4 Forecast Model
2.4.1 Market Data Collection, Analysis & Forecast
2.4.2 Market Size Estimation

3 Market Dynamics

3.1 Introduction
3.2 Market Drivers
3.3 Market Challenges
3.4 Market Opportunities
3.5 Market Restraints

4 Executive Summary

5. Market Factor Analysis

5.1 Porter’s Five Forces Analysis
5.2 Supply Chain Analysis

Continued…

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