Predictive Maintenance Market Size, Growth, Demands Outlook and Forecasts to 2030

 According to the research report, the global predictivemaintenance market size is expected to touch USD 67.21 Billion by 2030, from USD 8.31 Billion in 2022, growing with a significant CAGR of 29.86% from 2022 to 2030. 

The predictive maintenance market report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global predictive maintenance market in conjunction with the geographical landscape of this vertical have also been included in this report.

The report offers intricate dynamics about different aspects of the global predictive maintenance market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global predictive maintenance market during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).

Sample Link @ https://www.precedenceresearch.com/sample/2453

 Report Scope of the Predictive Maintenance Market

Report Coverage	Details
Market Size in 2022	USD 8.31 Billion
Market Size by 2030	USD 67.21 Billion
Growth Rate from 2022 to 2030	CAGR of 29.86%
Base Year	2021
Forecast Period	2022 to 2030
Segments Covered	By Component By Deployment Mode By Organization Size By Vertical

This study covers a detailed segmentation of the global predictive maintenance market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global predictive maintenance market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.

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 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

By Geography

• North America
• Europe
• Asia-Pacific
• Latin America
• Middle East & Africa (MEA)

Research Methodology

The research methodology adopted by analysts for compiling the global predictive maintenance market report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.

During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.

For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global 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

Contact Us:

Precedence Research

Apt 1408 1785 Riverside Drive Ottawa, ON, K1G 3T7, Canada

Call: +1 774 402 6168

Email: sales@precedenceresearch.com

Website: https://www.precedenceresearch.com

 Blog: https://www.pharma-geek.com