Operational Predictive Maintenance Market
Operational Predictive Maintenance Market Size, Share, Industry Analysis and Forecast 2019-2025 Update Available - Forecast 2024-2030
Operational predictive maintenance is a service that detects the onset of system degradation; thereby, enabling usual stressors to be eliminated or controlled past any significant deterioration in the physical state of the component. Adoption of operational predictive maintenance software facilitates organizations to reduce maintenance cost and prevent downtime. It further assists the organizations in optimizing supply chain and operation management of products.
Increasing adoption of cloud-based technologies across various industry verticals such as government and manufacturing has augmented the demand for operational predictive maintenance solution and services. Increasing focus on reducing the cost associated with the maintenance of machines, products, and other assets is fueling the growth in the market across the globe. Moreover, the technological advancement in maintenance solutions such as the deployment of big data and IoT is anticipated to offer a growth opportunity to the market in the near future.
The global operational predictive maintenance market is further analyzed on the basis of geographical regions, including North America, Europe, Asia-Pacific, and Rest of the World. North America contributed the largest share in the global operational predictive maintenance market in 2018. This is attributed to increased spending by energy companies that are looking to improve operating costs and intensify profitability. Moreover, the region comprises key developers and market players of operational predictive maintenance such as IBM Corp. and Microsoft Corp., which are offering its services across various emerging industry verticals such as manufacturing and energy & utilities. Further, Asia-Pacific is projected to exhibit the fastest growth in the global operational predictive maintenance market during the forecast period. Improving economic reforms and an increase in the focus of government towards economic stability are some factors that are considerably propelling the market growth in the region.
The players operating in the global operational predictive maintenance market include Accenture PLC, Cisco Systems, Inc., General Electric Co., Hitachi Consulting Corp., IBM Corp., Intel Corp., Microsoft Corp., SAP SE, SAS Institute Inc., Siemens AG, and Schneider Electric SE, among others. The companies are focused on the development of innovative products for operational predictive maintenance market to stay competitive in the global market. Geographical expansion, merger & acquisition, partnerships & collaborations, finding a new market or innovate in their core competency in order to expand individual market share are some of the key strategies adopted by major market players. For instance, in December 2018, SAP SE unveiled SAP Intelligent Asset Management (IAM). It is a suite of solutions that offers collaborative planning, asset management, prediction, and simulation to products and equipment maintenance and operation.
Research Methodology:
The market study of the global operational predictive maintenance market is incorporated by extensive primary and secondary research conducted by a research team at OMR. Secondary research has been conducted to refine the available data to break down the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geography to provide a better regional outlook. In the report, the country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior and macroeconomic factors. Numbers extracted from secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders, and industry experts. Primary research brings the authenticity of our reports.
Secondary Sources Include:
- Financial reports of companies involved in the market
- Whitepapers, research-papers and news blogs
- Company websites and their product catalog
The report is intended for ICT companies, investment companies, government organizations for overall market analysis and competitive analysis. The report will serve as a source for 360-degree analysis of the market thoroughly delivering insights into the market for better business decisions.
Market Segmentation:
- Global Operational Predictive Maintenance Market Research and Analysis by Deployment Model
- Global Operational Predictive Maintenance Market Research and Analysis by Application
The Report Covers:
- Comprehensive research methodology of the global operational predictive maintenance market.
- This report includes a detailed and extensive market overview with key analyst insights.
- An exhaustive analysis of macro and micro factors influencing the market guided by key recommendations.
- Analysis of regional regulations and other government policies impacting the global operational predictive maintenance market.
- Insights about market determinants which are stimulating the global operational predictive maintenance market.
- Detailed and extensive market segments with regional distribution of forecast revenues.
- Extensive profiles and recent developments of market players.
1. Report Summary
1.1. Research Methods and Tools
1.2. Market Breakdown
1.2.1. By Segments
1.2.2. By Geography
1.2.3. By Stakeholders
2. Market Overview and Insights
2.1. Scope of the Report
2.2. Analyst Insight & Current Market Trends
2.2.1. Key Findings
2.2.2. Recommendations
2.2.3. Conclusion
2.3. Rules & Regulations
3. Competitive Landscape
3.1. Competitive Dashboard
3.2. Key Strategy Analysis
3.3. Key Company Analysis
3.3.1. IBM Corp.
3.3.1.1. Overview
3.3.1.2. Financial Analysis
3.3.1.3. SWOT Analysis
3.3.1.4. Recent Developments
3.3.2. SAP SE
3.3.2.1. Overview
3.3.2.2. Financial Analysis
3.3.2.3. SWOT Analysis
3.3.2.4. Recent Developments
3.3.3. Microsoft Corp.
3.3.3.1. Overview
3.3.3.2. Financial Analysis
3.3.3.3. SWOT Analysis
3.3.3.4. Recent Developments
3.3.4. General Electric Co.
3.3.4.1. Overview
3.3.4.2. Financial Analysis
3.3.4.3. SWOT Analysis
3.3.4.4. Recent Developments
3.3.5. Siemens AG
3.3.5.1. Overview
3.3.5.2. Financial Analysis
3.3.5.3. SWOT Analysis
3.3.5.4. Recent Developments
4. Market Determinants
4.1. Motivators
4.2. Restraints
4.3. Opportunities
5. Market Segmentation
5.1. Global Operational Predictive Maintenance Market by Deployment Model
5.1.1. On-premises
5.1.2. Cloud-based
5.2. Global Operational Predictive Maintenance Market by Application
5.2.1. Government
5.2.2. Manufacturing
5.2.3. Energy & Utilities
5.2.4. Transportation and Logistics
5.2.5. Others (Healthcare, Aerospace and defense)
6. Regional Analysis
6.1. North America
6.1.1. United States
6.1.2. Canada
6.2. Europe
6.2.1. UK
6.2.2. Germany
6.2.3. Italy
6.2.4. Spain
6.2.5. France
6.2.6. Rest of Europe
6.3. Asia-Pacific
6.3.1. China
6.3.2. Japan
6.3.3. India
6.3.4. Rest of Asia-Pacific
6.4. Rest of the World
7. Company Profiles
7.1. ABB Asea Brown Boveri Ltd.
7.2. Accenture PLC
7.3. Advanced Technology Services, Inc.
7.4. Altizon Systems Pvt. Ltd.
7.5. Augury Inc.
7.6. Bentley Systems, Inc.
7.7. Cisco Systems, Inc.
7.8. Eaton Corp.
7.9. Embitel Technologies India Pvt. Ltd.
7.10. General Electric Co.
7.11. Hitachi Ltd.
7.12. Huawei Technologies Co., Ltd.
7.13. IBM Corp.
7.14. Intel Corp.
7.15. Microsoft Corp.
7.16. PTC Inc.
7.17. Robert Bosch GmbH
7.18. Rockwell Automation, Inc.
7.19. SAP SE
7.20. SAS Institute Inc.
7.21. Schneider Electric SE
7.22. Senseye Ltd
7.23. Siemens AG
7.24. Software AG
7.25. Splunk Inc.
1. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2018-2025 ($ MILLION)
2. GLOBAL ON-PREMISES MODEL OF OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025($ MILLION)
3. GLOBAL CLOUD-BASED MODEL OF OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025($ MILLION)
4. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
5. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE IN MANUFACTURING MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025($ MILLION)
6. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE IN ENERGY & UTILITIES MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025($ MILLION)
7. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
8. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE IN OTHER APPLICATIONS MARKET RESEARCH AND ANALYSIS BY REGION, 2018-2025 ($ MILLION)
9. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY GEOGRAPHY, 2018-2025 ($ MILLION)
10. NORTH AMERICAN OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2018-2025 ($ MILLION)
11. NORTH AMERICAN OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2018-2025 ($ MILLION)
12. NORTH AMERICAN OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
13. EUROPEAN OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2018-2025 ($ MILLION)
14. EUROPEAN OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2018-2025 ($ MILLION)
15. EUROPEAN OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
16. ASIA-PACIFIC OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2018-2025 ($ MILLION)
17. ASIA-PACIFIC OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2018-2025 ($ MILLION)
18. ASIA-PACIFIC OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025 ($ MILLION)
19. REST OF THE WORLD OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2018-2025($ MILLION)
20. REST OF THE WORLD OPERATIONAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2018-2025($ MILLION)
1. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE MARKET SHARE BY DEPLOYMENT MODEL, 2018 VS 2025 (%)
2. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE MARKET SHARE BY APPLICATION, 2018 VS 2025 (%)
3. GLOBAL OPERATIONAL PREDICTIVE MAINTENANCE MARKET SHARE BY GEOGRAPHY, 2018 VS 2025 (%)
4. US OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
5. CANADA OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
6. UK OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
7. FRANCE OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
8. GERMANY OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
9. ITALY OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
10. SPAIN OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
11. ROE OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
12. INDIA OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
13. CHINA OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
14. JAPAN OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
15. REST OF ASIA-PACIFIC OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
16. REST OF THE WORLD OPERATIONAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2025 ($ MILLION)
