Predictive Maintenance Market Size To Cross USD 67.21 Bn By 2030

The global predictive maintenance market size accounted for US$ 8.31  Bn in 2022 and is projected to reach around USD 67.21  Bn by 2030, growing at a CAGR of 29.86% from 2022 to 2030.

Report Summary

The global predictive maintenance market report provides a Point-by-Point and In-Depth analysis of global market size, regional and country-level market size, market share, segmentation market growth, competitive landscape, sales analysis, opportunities analysis, strategic market growth analysis, the impact of domestic and global market key players, value chain optimization, trade regulations, recent developments, product launches, area marketplace expanding, and technological innovations.

The study offers a comprehensive analysis on diverse features, including production capacities, demand, product developments, revenue generation, and sales in the predictive maintenance market across the globe.

A comprehensive estimate on the predictive maintenance market has been provided through an optimistic scenario as well as a conservative scenario, taking into account the sales of predictive maintenance during the forecast period. Price point comparison by region with global average price is also considered in the study.

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Predictive Maintenance Market Report Scope 

Key Highlights:

Reports Coverage: It incorporates key market sections, key makers secured, the extent of items offered in the years considered, worldwide containerized predictive maintenance market and study goals. Moreover, it contacts the division study gave in the report based on the sort of item and applications.

Market Outline: This area stresses the key investigations, market development rate, serious scene, market drivers, patterns, and issues notwithstanding the naturally visible pointers.

Market Production by Region: The report conveys information identified with import and fare, income, creation, and key players of every single local market contemplated are canvassed right now.

Also Read:  Zero Emission Vehicle Market Size To Cross USD 1,364.7 Bn By 2030

Predictive Maintenance Market Players

The report includes the profiles of key predictive maintenance market companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information, key development in past five years.

Major companies operating in this area

• 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 Segmentation

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

Regional Segmentation

• North America (U.S., Canada, Mexico)
• Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
• Asia-Pacific (China, Japan, India, Southeast Asia and Rest of APAC)
• Latin America (Brazil and Rest of Latin America)
• Middle East and Africa (GCC, North Africa, South Africa, Rest of MEA)

Research Methodology

Secondary Research

It involves company databases such as Hoover’s: This assists us to recognize financial information, the structure of the market participants and industry’s competitive landscape.

The secondary research sources referred in the process are as follows:

• Governmental bodies, and organizations creating economic policies
• National and international social welfare institutions
• Company websites, financial reports and SEC filings, broker and investor reports
• Related patent and regulatory databases
• Statistical databases and market reports
• Corporate Presentations, news, press release, and specification sheet of Manufacturers

Primary Research

Primary research includes face-to-face interviews, online surveys, and telephonic interviews.

• Means of primary research: Email interactions, telephonic discussions and Questionnaire-based research etc.
• In order to validate our research findings and analysis, we conduct primary interviews of key industry participants. Insights from primary respondents help in validating the secondary research findings. It also develops Research Team’s expertise and market understanding.

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

Thanks for reading you can also get individual chapter-wise sections or region-wise report versions such as North America, Europe, or the Asia Pacific.

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