The predictive maintenance market would grow at a CAGR of 29.86% over the predicted time frame. The market is expected to increase in value from US$ 8.31 Bn in 2022 to US$ 67.21 Bn in 2030.
The on predictive maintenance Market, which provides a business strategy, research & development activities, concise outline of the market valuation, valuable insights pertaining to market share, size, supply chain analysis, competitive landscape and regional proliferation of this industry.
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A recent report provides crucial insights along with application based and forecast information in the Global Predictive maintenance Market. The report provides a comprehensive analysis of key factors that are expected to drive the growth of this market. This study also provides a detailed overview of the opportunities along with the current trends observed in the Predictive maintenance market.
A quantitative analysis of the industry is compiled for a period of 10 years in order to assist players to grow in the market. Insights on specific revenue figures generated are also given in the report, along with projected revenue at the end of the forecast period.
Companies and Manufacturers Covered
The study covers key players operating in the market along with prime schemes and strategies implemented by each player to hold high positions in the industry. Such a tough vendor landscape provides a competitive outlook of the industry, consequently existing as a key insight. These insights were thoroughly analysed and prime business strategies and products that offer high revenue generation capacities were identified. Key players of the global Predictive maintenance market are included as given below:
Predictive maintenance Market Key Players
- Microsoft(US)
- Google (US)
- SAP(Germany)
- Splunk (US)
- IBM(US)
- Oracle (US)
- OPEX Group (UK)
- GE (US)
- Schneider Electric (France)
- AWS (US)
- SAS Institute (US)
- Software AG (Germany)
- TIBCO Software (US)
- Hitachi (Japan)
- HPE (US)
- Altair (US)
- PTC (US)
- RapidMiner (US)
- Dingo (Australia)
Market Segments
By Component
- Solutions
- Integrated
- Standalone
- Service
- Managed Services
- Professional Services
- System Integration
- Support and Maintenance
- Consulting
By Deployment Mode
- On-premises
- Cloud
- Public Cloud
- Private Cloud
- Hybrid Cloud
By Organization Size
- Large Enterprises
- Small and Medium-sized Enterprises (SMEs)
By Vertical
- Government and Defense
- Manufacturing
- Energy and Utilities
- Transportation and Logistics
- Healthcare and Life Sciences
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East & Africa (MEA)
Report Objectives
- To define, describe, and forecast the global predictive maintenance market based on product, and region
- To provide detailed information regarding the major factors influencing the growth of the market (drivers, opportunities, and industry-specific challenges)
- To strategically analyze micromarkets1 with respect to individual growth trends, future prospects, and contributions to the total market
- To analyze opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders
- To forecast the size of market segments with respect to four main regions—North America, Europe, Asia Pacific and the Rest of the World (RoW)2
- To strategically profile key players and comprehensively analyze their product portfolios, market shares, and core competencies3
- To track and analyze competitive developments such as acquisitions, expansions, new product launches, and partnerships in the predictive maintenance market
Table of Content
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Predictive Maintenance Market
5.1. COVID-19 Landscape: Predictive Maintenance Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Predictive Maintenance Market, By Component
8.1. Predictive Maintenance Market, by Component, 2022-2030
8.1.1. Solutions
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Service
8.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Predictive Maintenance Market, By Deployment Mode
9.1. Predictive Maintenance Market, by Deployment Mode, 2022-2030
9.1.1. On-premises
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. Cloud
9.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Predictive Maintenance Market, By Organization Size
10.1. Predictive Maintenance Market, by Organization Size, 2022-2030
10.1.1. Large Enterprises
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. Small and Medium-sized Enterprises (SMEs)
10.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Predictive Maintenance Market, By Vertical
11.1. Predictive Maintenance Market, by Vertical, 2022-2030
11.1.1. Government and Defense
11.1.1.1. Market Revenue and Forecast (2017-2030)
11.1.2. Manufacturing
11.1.2.1. Market Revenue and Forecast (2017-2030)
11.1.3. Energy and Utilities
11.1.3.1. Market Revenue and Forecast (2017-2030)
11.1.4. Transportation and Logistics
11.1.4.1. Market Revenue and Forecast (2017-2030)
11.1.5. Healthcare and Life Sciences
11.1.5.1. Market Revenue and Forecast (2017-2030)
Chapter 12. Global Predictive Maintenance Market, Regional Estimates and Trend Forecast
12.1. North America
12.1.1. Market Revenue and Forecast, by Component (2017-2030)
12.1.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.1.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.1.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.1.5. U.S.
12.1.5.1. Market Revenue and Forecast, by Component (2017-2030)
12.1.5.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.1.5.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.1.5.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.1.6. Rest of North America
12.1.6.1. Market Revenue and Forecast, by Component (2017-2030)
12.1.6.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.1.6.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.1.6.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.2. Europe
12.2.1. Market Revenue and Forecast, by Component (2017-2030)
12.2.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.2.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.2.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.2.5. UK
12.2.5.1. Market Revenue and Forecast, by Component (2017-2030)
12.2.5.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.2.5.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.2.5.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.2.6. Germany
12.2.6.1. Market Revenue and Forecast, by Component (2017-2030)
12.2.6.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.2.6.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.2.6.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.2.7. France
12.2.7.1. Market Revenue and Forecast, by Component (2017-2030)
12.2.7.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.2.7.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.2.7.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.2.8. Rest of Europe
12.2.8.1. Market Revenue and Forecast, by Component (2017-2030)
12.2.8.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.2.8.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.2.8.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.3. APAC
12.3.1. Market Revenue and Forecast, by Component (2017-2030)
12.3.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.3.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.3.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.3.5. India
12.3.5.1. Market Revenue and Forecast, by Component (2017-2030)
12.3.5.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.3.5.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.3.5.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.3.6. China
12.3.6.1. Market Revenue and Forecast, by Component (2017-2030)
12.3.6.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.3.6.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.3.6.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.3.7. Japan
12.3.7.1. Market Revenue and Forecast, by Component (2017-2030)
12.3.7.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.3.7.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.3.7.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.3.8. Rest of APAC
12.3.8.1. Market Revenue and Forecast, by Component (2017-2030)
12.3.8.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.3.8.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.3.8.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.4. MEA
12.4.1. Market Revenue and Forecast, by Component (2017-2030)
12.4.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.4.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.4.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.4.5. GCC
12.4.5.1. Market Revenue and Forecast, by Component (2017-2030)
12.4.5.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.4.5.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.4.5.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.4.6. North Africa
12.4.6.1. Market Revenue and Forecast, by Component (2017-2030)
12.4.6.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.4.6.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.4.6.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.4.7. South Africa
12.4.7.1. Market Revenue and Forecast, by Component (2017-2030)
12.4.7.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.4.7.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.4.7.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.4.8. Rest of MEA
12.4.8.1. Market Revenue and Forecast, by Component (2017-2030)
12.4.8.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.4.8.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.4.8.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.5. Latin America
12.5.1. Market Revenue and Forecast, by Component (2017-2030)
12.5.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.5.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.5.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.5.5. Brazil
12.5.5.1. Market Revenue and Forecast, by Component (2017-2030)
12.5.5.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.5.5.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.5.5.4. Market Revenue and Forecast, by Vertical (2017-2030)
12.5.6. Rest of LATAM
12.5.6.1. Market Revenue and Forecast, by Component (2017-2030)
12.5.6.2. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.5.6.3. Market Revenue and Forecast, by Organization Size (2017-2030)
12.5.6.4. Market Revenue and Forecast, by Vertical (2017-2030)
Chapter 13. Company Profiles
13.1. Microsoft(US)
13.1.1. Company Overview
13.1.2. Product Offerings
13.1.3. Financial Performance
13.1.4. Recent Initiatives
13.2. Google (US)
13.2.1. Company Overview
13.2.2. Product Offerings
13.2.3. Financial Performance
13.2.4. Recent Initiatives
13.3. SAP(Germany)
13.3.1. Company Overview
13.3.2. Product Offerings
13.3.3. Financial Performance
13.3.4. Recent Initiatives
13.4. Splunk (US)
13.4.1. Company Overview
13.4.2. Product Offerings
13.4.3. Financial Performance
13.4.4. Recent Initiatives
13.5. IBM(US)
13.5.1. Company Overview
13.5.2. Product Offerings
13.5.3. Financial Performance
13.5.4. Recent Initiatives
13.6. Oracle (US)
13.6.1. Company Overview
13.6.2. Product Offerings
13.6.3. Financial Performance
13.6.4. Recent Initiatives
13.7. OPEX Group (UK)
13.7.1. Company Overview
13.7.2. Product Offerings
13.7.3. Financial Performance
13.7.4. Recent Initiatives
13.8. GE (US)
13.8.1. Company Overview
13.8.2. Product Offerings
13.8.3. Financial Performance
13.8.4. Recent Initiatives
13.9. Schneider Electric (France)
13.9.1. Company Overview
13.9.2. Product Offerings
13.9.3. Financial Performance
13.9.4. Recent Initiatives
13.10. AWS (US)
13.10.1. Company Overview
13.10.2. Product Offerings
13.10.3. Financial Performance
13.10.4. Recent Initiatives
Chapter 14. Research Methodology
14.1. Primary Research
14.2. Secondary Research
14.3. Assumptions
Chapter 15. Appendix
15.1. About Us
15.2. Glossary of Terms
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