Global Operational Predictive Maintenance Software Market Report By Type (Software, Services), By Deployment Model (On-Premise, Cloud-Based), By End User (Public Sector, Automotive, Manufacturing, Healthcare, Energy & Utility, Transportation, Others) And By Regions - Industry Trends, Size, Share, Growth, Estimation and Forecast, 2021-2028

Name: Global Operational Predictive Maintenance Software Market Report
Brand: Value Market Research
SKU: ICT
Price: 3950.00 USD
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ID:VMR11212973

April 2021

Report Formats: Electronic (PDF), MS EXCEL

Description
Table Of Content

The global demand for Operational Predictive Maintenance Software Market is presumed to reach the valuation of nearly USD XX MN by 2028 from USD XX MN in 2021 with a CAGR of XX% during the period of 2022-2028.

Operational predictive maintenance software is the software that gathers data from multiple resources in real-time and predicts the risk of failures in an operational process. This analytical software reads the real-time data from multiple sources and detects the issues related to quality and asset failure during the product development process. Besides, the software checks the small inconsistencies, failure patterns, reasons for the failures to evaluate the risk of a process failure and to avoid future losses. The advanced analytics software optimizes the operational process and aids in enhancing the performance of the equipment to save time and get quality products.

Market Dynamics

The prime factors that are driving the global operational predictive software are increasing adoption for operational predictive maintenance software by small and medium-sized business enterprises, and advancement in cloud-based solutions. Furthermore, factors such as increasing awareness about proper management of operation, growing need to reduce maintenance cost and asset downtime, and increasing implementation of emerging technology to get useful insights are fuelling the market. During the COVID-19 pandemic, the market for operational predictive software is anticipated to prosper owing to increasing demand for remote monitoring and management of business processes and assets.

The report covers Porter’s Five Forces Model, Market Attractiveness Analysis and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level.

Additionally, these tools also give inclusive assessment of each application/product segment in the global market of operational predictive maintenance software.

Market Segmentation

The entire operational predictive maintenance software market has been sub-categorized into type, deployment model and end-user. The report provides an analysis of these subsets with respect to the geographical segmentation. This research study will keep marketer informed and helps to identify the target demographics for a product or service.

By Type

Software
Services
- Implementation and Integration
- Training & Support
- Consulting

By Deployment Model

On-Premise
Cloud-Based

By End User

Regional Analysis

This section covers regional segmentation which accentuates on current and future demand for operational predictive maintenance software market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand for individual application segment across all the prominent regions.

Global Operational Predictive Maintenance Software Market Share by Region (Representative Graph)

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the operational predictive maintenance software market include Robert Bosch GmbH, General Electric Company, PTC, Inc., IBM Corporation, Rockwell Automation Inc., SAS Institute Inc., eMaint Enterprises LLC, Schneider Electric SE, and Software AG. This section includes a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

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1 . PREFACE
       1.1. Report Description
           1.1.1. Objective
           1.1.2. Target Audience
           1.1.3. Unique Selling Proposition (USP) & offerings
       1.2. Research Scope
       1.3. Research Methodology
           1.3.1. Market Research Process
           1.3.2. Market Research Methodology

2 . EXECUTIVE SUMMARY
       2.1. Highlights of Operational Predictive Maintenance Software Market
       2.2. Global Operational Predictive Maintenance Software Market Snapshot

3 . OPERATIONAL PREDICTIVE MAINTENANCE SOFTWARE – INDUSTRY ANALYSIS
       3.1. Introduction
       3.2. Market Drivers of Operational Predictive Maintenance Software Market
       3.3. Market Restraints of Operational Predictive Maintenance Software Market
       3.4. Opportunities of Operational Predictive Maintenance Software Market
       3.5. Trends of Operational Predictive Maintenance Software Market
       3.6. Porter’s Five Force Analysis of Operational Predictive Maintenance Software Market
       3.7. Operational Predictive Maintenance Software Market Attractiveness Analysis
           3.7.1 Market Attractive Analysis by Type
           3.7.2 Market Attractive Analysis by Deployment Model
           3.7.3 Market Attractive Analysis by End User
           3.7.4 Market Attractive Analysis by Region

4 . VALUE CHAIN ANALYSIS
       4.1. Operational Predictive Maintenance Software Value Chain Analysis
       4.2. Operational Predictive Maintenance Software Raw Material Analysis
           4.2.1. List of Raw Materials
           4.2.2. Operational Predictive Maintenance Software Raw Material Manufactures List
           4.2.3. Price Trend of Operational Predictive Maintenance Software Key Raw Materials
       4.3. List of Potential Buyers
       4.4. Marketing Channel
           4.4.1. Direct Marketing
           4.4.2. Indirect Marketing
           4.4.3. Marketing Channel Development Trend

5 IMPACT ANALYSIS OF COVID-19 OUTBREAK
       5.1. Impact Analysis of Covid-19 Outbreak on Operational Predictive Maintenance Software Market
           5.1.1. Direct Impact on Production
           5.1.2. Supply Chain and Market Disruption
           5.1.3. Financial Impact on Firms and Financial Markets
       5.2. COVID-19 Impact Analysis by Production, Import, Export and Demand
       5.3. Operational Predictive Maintenance Software Market: Pre V/S Post COVID-19
       5.4. Estimated Impact of the Coronavirus (COVID-19) Epidemic on the Operational Predictive Maintenance Software Market Size in 2020, by Scenario
       5.5. COVID-19: Micro and Macro Factor Analysis on Operational Predictive Maintenance Software Market

6 . GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE SOFTWARE MARKET ANALYSIS BY TYPE
       6.1 Overview by Type
       6.2 Historical Data 2015-2018
       6.3 Global Operational Predictive Maintenance Software Market Analysis by Type
       6.4 Market Analysis of Software by Regions
       6.6 Market Analysis of Services by Regions

7 . GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE SOFTWARE MARKET ANALYSIS BY DEPLOYMENT MODEL
       7.1 Overview by Deployment Model
       7.2 Historical Data 2015-2018
       7.3 Global Operational Predictive Maintenance Software Market Analysis by Deployment Model
       7.4 Market Analysis of On-Premise by Regions
       7.5 Market Analysis of Cloud-Based by Regions

8 . GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE SOFTWARE MARKET ANALYSIS BY END USER
       8.1 Overview by End User
       8.2 Historical Data 2015-2018
       8.3 Global Operational Predictive Maintenance Software Market Analysis by End User
       8.4 Market Analysis of Public Sector by Regions
       8.5 Market Analysis of Automotive by Regions
       8.6 Market Analysis of Manufacturing by Regions
       8.7 Market Analysis of Healthcare by Regions
       8.8 Market Analysis of Energy & Utility by Regions
       8.9 Market Analysis of Transportation by Regions
       8.10. Market Analysis of Others by Regions

9 . GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE SOFTWARE MARKET ANALYSIS BY GEOGRAPHY
       9.1. Regional Outlook
       9.2. Introduction
       9.3. North America
           9.3.1. Overview and Historic Data
           9.3.2. North America Operational Predictive Maintenance Software Market Estimate By Market Segment
           9.3.3. North America Operational Predictive Maintenance Software Market Estimate By Country
           9.3.4. United State
           9.3.5. Canada
           9.3.6. Mexico
       9.4. Europe
           9.4.1. Overview and Historic Data
           9.4.2. Europe Operational Predictive Maintenance Software Market Estimate by Market Segment
           9.4.3. Europe Operational Predictive Maintenance Software Market Estimate by Country
           9.4.4. United Kingdom
           9.4.5. France
           9.4.6. Germany
           9.4.7. Italy
           9.4.8. Russia
           9.4.9. Rest Of Europe
       9.5. Asia Pacific
           9.5.1. Overview and Historic Data
           9.5.2. Asia Pacific Operational Predictive Maintenance Software Market Estimate by Market Segment
           9.5.3. Asia Pacific Operational Predictive Maintenance Software Market Estimate by Country
           9.5.4. China
           9.5.5. India
           9.5.6. Japan
           9.5.7. South Korea
           9.5.8. Australia
           9.5.9. Rest Of Asia Pacific
       9.6. Latin America
           9.6.1. Overview and Historic Data
           9.6.2. Latin America Operational Predictive Maintenance Software Market Estimate by Market Segment
           9.6.3. Latin America Operational Predictive Maintenance Software Market Estimate by Country
           9.6.4. Brazil
           9.6.5. Argentina
           9.6.6. Peru
           9.6.7. Chile
           9.6.8. Rest of Latin America
       9.7. Middle East & Africa
           9.7.1. Overview and Historic Data
           9.7.2. Middle East & Africa Operational Predictive Maintenance Software Market Estimate by Market Segment
           9.7.3. Middle East & Africa Operational Predictive Maintenance Software Market Estimate by Country
           9.7.4. Saudi Arabia
           9.7.5. UAE
           9.7.6. Israel
           9.7.7. South Africa
           9.7.8. Rest Of Middle East And Africa

10 . COMPETITIVE LANDSCAPE OF THE OPERATIONAL PREDICTIVE MAINTENANCE SOFTWARE COMPANIES
       10.1. Operational Predictive Maintenance Software Market Competition
       10.2. Partnership/Collaboration/Agreement
       10.3. Merger And Acquisitions
      10.4. New Product Launch
       10.5. Other Developments

11 . COMPANY PROFILES OF OPERATIONAL PREDICTIVE MAINTENANCE SOFTWARE INDUSTRY
       11.1. Company Share Analysis
       11.2. Market Concentration Rate
       11.3. Robert Bosch GmbH
           11.3.1. Company Overview
           11.3.2. Financials
           11.3.3. Products
           11.3.4. Recent Developments
       11.4. General Electric Company, PTC, Inc.
           11.4.1. Company Overview
           11.4.2. Financials
           11.4.3. Products
           11.4.4. Recent Developments
       11.5. IBM Corporation
           11.5.1. Company Overview
           11.5.2. Financials
           11.5.3. Products
           11.5.4. Recent Developments
       11.6. Rockwell Automation Inc.
           11.6.1. Company Overview
           11.6.2. Financials
           11.6.3. Products
           11.6.4. Recent Developments
       11.7. SAS Institute Inc.
           11.7.1. Company Overview
           11.7.2. Financials
           11.7.3. Products
           11.7.4. Recent Developments
       11.8. eMaint Enterprises LLC
           11.8.1. Company Overview
           11.8.2. Financials
           11.8.3. Products
           11.8.4. Recent Developments
       11.9. Schneider Electric SE
           11.9.1. Company Overview
           11.9.2. Financials
           11.9.3. Products
           11.9.4. Recent Developments
       11.10. Software AG
           11.10.1. Company Overview
           11.10.2. Financials
           11.10.3. Products
           11.10.4. Recent Developments

*Note - In company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies

LIST OF TABLES

LIST OF FIGURES

* Kindly note that the above listed are the basic tables and figures of the report and are not limited to the TOC.

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Objectives of Study

Define and measure the global market
Volume or revenue forecast of the global market and its various sub-segments with respect to main geographies
Analyze and identify major market trends along with the factors driving or inhibiting the market growth
Study the company profiles of the major market players with their market share
Analyze competitive developments

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