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Predictive Maintenance Market Impressive Growth by 2026 | IBM Corporation, Microsoft Corporation, SAP SE, General Electric, Schneider Electric

06-30-2020 03:29 PM CET | IT, New Media & Software

Press release from: Premium Market Insights

Predictive Maintenance Market

Predictive Maintenance Market

Predictive maintenance (PdM) is a process for monitoring equipment during operation with the purpose of identifying any deterioration, allowing maintenance to be planned and reducing the operational costs. In this, data about previous breakdowns is used to model when failures are likely to occur and arbitrate at the same time as sensors detect the same conditions. PdM techniques are used to identify the time the in-service equipment requires maintenance to avoid expensive operational disruptions caused due to equipment failures.

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Leading Players in the Predictive Maintenance Market:

• IBM Corporation
• Microsoft Corporation
• SAP SE
• General Electric
• Schneider Electric
• Hitachi, Ltd.
• PTC Inc.
• Software AG
• SAS Institute Inc.

Competitive landscape

The Predictive Maintenance Industry is extremely competitive and consolidated because of the existence of several established companies that are adopting different marketing strategies to increase their market share. The vendors engaged in the sector are outlined based on their geographic reach, financial performance, strategic moves, and product portfolio. The vendors are gradually widening their strategic moves, along with customer interaction.

By Component
• Solution
• Service

By Deployment
• Cloud
• On-premise

By Technique
• Vibration Monitoring
• Electrical Testing
• Oil Analysis
• Ultrasonic Leak Detectors
• Shock Pulse
• Infrared
• Others

By Stakeholder
• MRO
• OEM/ODM
• Technology Integrators

By Industry Vertical
• Manufacturing
• Energy & utilities
• Aerospace & Defense
• Transportation & Logistics
• Government
• Healthcare
• Others

Predictive Maintenance Market Segmented by Region/Country: US, Europe, China, Japan, Middle East & Africa, India, Central & South America

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Points Covered in the Report:

1. The pivotal aspects considered in the Global Predictive Maintenance Market report consist of leading competitors functioning in the Global Predictive Maintenance market
2. The report encompasses company profiles prominently positioned in the global market.
3. The sales, corporate strategies, and technological capabilities of leading manufacturers are also mentioned in the report.
4. The driving factors for the growth of the Global Predictive Maintenance Market are explained exhaustively, along with an in-depth account of the end users in the industry.
5. The report also explains critical application areas of the market to readers/users.
6. The report undertakes a SWOT analysis of the market. In the final section, the report features the opinions and views of industry experts and professionals. The experts also evaluate the export/import policies that might propel the growth of the Global Predictive Maintenance Market.
7. The report on the Global Predictive Maintenance Market delivers valuable information for policymakers, investors, stakeholders, service providers, producers, suppliers, and organizations operating in the industry and looking to purchase this research document.

Fundamentals of Table of Content:

1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.5 Market by Application
1.6 Study Objectives
1.7 Years Considered

2 Global Growth Trends
2.1 Predictive Maintenance Market Size
2.2 Predictive Maintenance Growth Trends by Regions
2.3 Industry Trends

3 Market Share by Key Players
3.1 Predictive Maintenance Market Size by Manufacturers
3.2 Predictive Maintenance Key Players Head office and Area Served
3.3 Key Players Predictive Maintenance Product/Solution/Service
3.4 Date of Enter into Predictive Maintenance Market
3.5 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Product
4.1 Global Predictive Maintenance Sales by Product
4.2 Global Predictive Maintenance Revenue by Product
4.3 Predictive Maintenance Price by Product

5 Breakdown Data by End User
5.1 Overview
5.2 Global Predictive Maintenance Breakdown Data by End User

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