PUBLISHER: BIS Research | PRODUCT CODE: 1496187
PUBLISHER: BIS Research | PRODUCT CODE: 1496187
Predictive Maintenance Market - A Global and Regional Analysis: Focus on End-use Industry, Technique, Technology, Offering, and Region - Analysis and Forecast, 2024-2034
Introduction to Predictive Maintenance Market
The predictive maintenance market is experiencing significant growth, fueled by various key factors and market drivers. In an optimistic scenario, the market is valued at $11.34 billion in 2024 and is anticipated to expand at a CAGR of 26.76% to reach $121.49 billion by 2034.
| KEY MARKET STATISTICS | |
|---|---|
| Forecast Period | 2024 - 2034 |
| 2024 Evaluation | $11.34 Billion |
| 2034 Forecast | $121.49 Billion |
| CAGR | 26.76% |
A primary driver for this growth is the increasing recognition of the benefits of predictive maintenance in optimizing asset performance and reducing operational costs across various industries. Predictive maintenance solutions play a crucial role in enhancing equipment reliability, minimizing unplanned downtime, and maximizing asset lifespan, leading to improved operational efficiency and cost-effectiveness. This demand arises from industries' growing understanding of the importance of proactive maintenance strategies in ensuring operational continuity and competitiveness.
Additionally, the rising emphasis on digitalization and Industry 4.0 initiatives is driving the adoption of predictive maintenance solutions. With the proliferation of IoT sensors, big data analytics, and cloud computing technologies, organizations can leverage predictive maintenance to harness real-time data insights, identify potential equipment failures, and schedule maintenance activities more efficiently. This trend is further accelerated by the increasing availability of advanced analytics tools and platforms, enabling organizations to unlock actionable insights from their data and optimize maintenance practices.
Furthermore, regulatory requirements and industry standards mandating asset reliability and safety are driving the adoption of predictive maintenance solutions. Companies specializing in predictive maintenance, such as IBM, ABB Ltd., and Emerson Electric, are at the forefront of developing innovative solutions tailored to the specific needs of different industries. Their expertise in data analytics, AI, and machine learning, coupled with their domain knowledge, are instrumental in shaping the global predictive maintenance market landscape.
Overall, the predictive maintenance market is witnessing robust growth, propelled by the growing recognition of its benefits, digitalization trends, and regulatory drivers, coupled with advancements in technology and solution offerings.
Market Segmentation:
Segmentation 1: by End-use Industry
- Energy and Utilities
- Manufacturing
- Automotive and Transportation
- Aerospace and Defense
- Construction and Mining
- Telecommunications
- Others
Segmentation 2: by Technique
- Vibration Analysis
- Infrared Thermography
- Acoustic Monitoring
- Oil Analysis
- Motor Circuit Analysis
- Others
Segmentation 3: by Technology
- Analytics and Data Management
- Artificial Intelligence
- IoT Platform
- Sensors and Other Devices
Segmentation 4: by Offering
- Solutions
- Services
Segmentation 5: by Region
- North America
- Europe
- Asia-Pacific
- Rest-of-the-World
How can this report add value to an organization?
Product/Innovation Strategy: The global predictive maintenance market has been extensively segmented based on various categories, such as end-use industry, offering, technique, and technology. This can help readers get a clear overview of which segments account for the largest share and which ones are well-positioned to grow in the coming years.
Competitive Strategy: A detailed competitive benchmarking of the players operating in the global predictive maintenance market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.
Key Market Players and Competition Synopsis
The companies that are profiled have been selected based on thorough secondary research, which includes analyzing company coverage, product portfolio, market penetration, and insights gathered from primary experts.
Some of the prominent companies in this market are:
- ABB Ltd.
- IBM Corporation
- Schneider Electric
- Microsoft Corporation
- Hitachi
- Oracle
Key Questions Answered in this Report:
- What are the main factors driving the demand for Predictive Maintenance market?
- What are the major patents filed by the companies active in the Predictive Maintenance market?
- Who are the key players in the Predictive Maintenance market, and what are their respective market shares?
- What partnerships or collaborations are prominent among stakeholders in the Predictive Maintenance market?
- What are the strategies adopted by the key companies to gain a competitive edge in Predictive Maintenance market?
- What is the futuristic outlook for the Predictive Maintenance market in terms of growth potential?
- What is the current estimation of the Predictive Maintenance market, and what growth trajectory is projected from 2024 to 2034?
- Which application, and product segment is expected to lead the market over the forecast period (2024-2034)?
- Which regions demonstrate the highest adoption rates for Predictive Maintenance market, and what factors contribute to their leadership?
Table of Contents
Executive Summary
Scope and Definition
Market/Product Definition
Key Questions Answered
Analysis and Forecast Note
1. Markets: Industry Outlook
- 1.1 Trends: Current and Future Impact Assessment
- 1.2 Supply Chain Overview
- 1.2.1 Value Chain Analysis
- 1.2.2 Pricing Forecast
- 1.3 R&D Review
- 1.3.1 Patent Filing Trend by Country, by Company
- 1.4 Regulatory Landscape
- 1.5 Stakeholder Analysis
- 1.5.1 Use Case
- 1.5.2 End User and Buying Criteria
- 1.6 Impact Analysis for Key Global Events
- 1.7 Market Dynamics Overview
- 1.7.1 Market Drivers
- 1.7.2 Market Restraints
- 1.7.3 Market Opportunities
2. Predictive Maintenance Market (by Application)
- 2.1 Application Segmentation
- 2.2 Application Summary
- 2.3 Predictive Maintenance Market (by End-use Industry)
- 2.3.1 Energy and Utilities
- 2.3.2 Manufacturing
- 2.3.3 Automotive and Transportation
- 2.3.4 Aerospace and Defence
- 2.3.5 Construction and Mining
- 2.3.6 Telecommunications
- 2.3.7 Others
- 2.4 Predictive Maintenance Market (by Technique)
- 2.4.1 Vibration Analysis
- 2.4.2 Infrared Thermography
- 2.4.3 Acoustic Monitoring
- 2.4.4 Oil Analysis
- 2.4.5 Motor Circuit Analysis
- 2.4.6 Others
3. Predictive Maintenance Market (by Products)
- 3.1 Product Segmentation
- 3.2 Product Summary
- 3.3 Predictive Maintenance Market (by Technology)
- 3.3.1 Analytics and Data Management
- 3.3.2 Artificial Intelligence
- 3.3.3 IoT Platform
- 3.3.4 Sensors and Other Devices
- 3.4 Predictive Maintenance Market (by Offering)
- 3.4.1 Solutions
- 3.4.2 Services
4. Predictive Maintenance Market (by Region)
- 4.1 Predictive Maintenance Market (by Region)
- 4.2 North America
- 4.2.1 Regional Overview
- 4.2.2 Driving Factors for Market Growth
- 4.2.3 Factors Challenging the Market
- 4.2.4 Application
- 4.2.5 Product
- 4.2.6 U.S.
- 4.2.6.1 Market by Application
- 4.2.6.2 Market by Product
- 4.2.7 Canada
- 4.2.7.1 Market by Application
- 4.2.7.2 Market by Product
- 4.2.8 Mexico
- 4.2.8.1 Market by Application
- 4.2.8.2 Market by Product
- 4.3 Europe
- 4.3.1 Regional Overview
- 4.3.2 Driving Factors for Market Growth
- 4.3.3 Factors Challenging the Market
- 4.3.4 Application
- 4.3.5 Product
- 4.3.6 Germany
- 4.3.6.1 Market by Application
- 4.3.6.2 Market by Product
- 4.3.7 France
- 4.3.7.1 Market by Application
- 4.3.7.2 Market by Product
- 4.3.8 U.K.
- 4.3.8.1 Market by Application
- 4.3.8.2 Market by Product
- 4.3.9 Italy
- 4.3.9.1 Market by Application
- 4.3.9.2 Market by Product
- 4.3.10 Rest-of-Europe
- 4.3.10.1 Market by Application
- 4.3.10.2 Market by Product
- 4.4 Asia-Pacific
- 4.4.1 Regional Overview
- 4.4.2 Driving Factors for Market Growth
- 4.4.3 Factors Challenging the Market
- 4.4.4 Application
- 4.4.5 Product
- 4.4.6 China
- 4.4.6.1 Market by Application
- 4.4.6.2 Market by Product
- 4.4.7 Japan
- 4.4.7.1 Market by Application
- 4.4.7.2 Market by Product
- 4.4.8 India
- 4.4.8.1 Market by Application
- 4.4.8.2 Market by Product
- 4.4.9 South Korea
- 4.4.9.1 Market by Application
- 4.4.9.2 Market by Product
- 4.4.10 Rest-of-Asia-Pacific
- 4.4.10.1 Market by Application
- 4.4.10.2 Market by Product
- 4.5 Rest-of-the-World
- 4.5.1 Regional Overview
- 4.5.2 Driving Factors for Market Growth
- 4.5.3 Factors Challenging the Market
- 4.5.4 Application
- 4.5.5 Product
- 4.5.6 South America
- 4.5.6.1 Market by Application
- 4.5.6.2 Market by Product
- 4.5.7 Middle East and Africa
- 4.5.7.1 Market by Application
- 4.5.7.2 Market by Product
5. Companies Profiled
- 5.1 Next Frontiers
- 5.2 Geographic Assessment
- 5.2.1 ABB Ltd.
- 5.2.1.1 Overview
- 5.2.1.2 Top Products/Product Portfolio
- 5.2.1.3 Top Competitors
- 5.2.1.4 Target Customers
- 5.2.1.5 Key Personnel
- 5.2.1.6 Analyst View
- 5.2.1.7 Market Share
- 5.2.2 IBM Corporation
- 5.2.2.1 Overview
- 5.2.2.2 Top Products/Product Portfolio
- 5.2.2.3 Top Competitors
- 5.2.2.4 Target Customers
- 5.2.2.5 Key Personnel
- 5.2.2.6 Analyst View
- 5.2.2.7 Market Share
- 5.2.3 Schneider Electric
- 5.2.3.1 Overview
- 5.2.3.2 Top Products/Product Portfolio
- 5.2.3.3 Top Competitors
- 5.2.3.4 Target Customers
- 5.2.3.5 Key Personnel
- 5.2.3.6 Analyst View
- 5.2.3.7 Market Share
- 5.2.4 AWS
- 5.2.4.1 Overview
- 5.2.4.2 Top Products/Product Portfolio
- 5.2.4.3 Top Competitors
- 5.2.4.4 Target Customers
- 5.2.4.5 Key Personnel
- 5.2.4.6 Analyst View
- 5.2.4.7 Market Share
- 5.2.5 Google Inc.
- 5.2.5.1 Overview
- 5.2.5.2 Top Products/Product Portfolio
- 5.2.5.3 Top Competitors
- 5.2.5.4 Target Customers
- 5.2.5.5 Key Personnel
- 5.2.5.6 Analyst View
- 5.2.5.7 Market Share
- 5.2.6 Microsoft Corporation
- 5.2.6.1 Overview
- 5.2.6.2 Top Products/Product Portfolio
- 5.2.6.3 Top Competitors
- 5.2.6.4 Target Customers
- 5.2.6.5 Key Personnel
- 5.2.6.6 Analyst View
- 5.2.6.7 Market Share
- 5.2.7 Hitachi
- 5.2.7.1 Overview
- 5.2.7.2 Top Products/Product Portfolio
- 5.2.7.3 Top Competitors
- 5.2.7.4 Target Customers
- 5.2.7.5 Key Personnel
- 5.2.7.6 Analyst View
- 5.2.7.7 Market Share
- 5.2.8 SAP
- 5.2.8.1 Overview
- 5.2.8.2 Top Products/Product Portfolio
- 5.2.8.3 Top Competitors
- 5.2.8.4 Target Customers
- 5.2.8.5 Key Personnel
- 5.2.8.6 Analyst View
- 5.2.8.7 Market Share
- 5.2.9 SAS Institute
- 5.2.9.1 Overview
- 5.2.9.2 Top Products/Product Portfolio
- 5.2.9.3 Top Competitors
- 5.2.9.4 Target Customers
- 5.2.9.5 Key Personnel
- 5.2.9.6 Analyst View
- 5.2.9.7 Market Share
- 5.2.10 Software AG
- 5.2.10.1 Overview
- 5.2.10.2 Top Products/Product Portfolio
- 5.2.10.3 Top Competitors
- 5.2.10.4 Target Customers
- 5.2.10.5 Key Personnel
- 5.2.10.6 Analyst View
- 5.2.10.7 Market Share
- 5.2.11 Tibco Software
- 5.2.11.1 Overview
- 5.2.11.2 Top Products/Product Portfolio
- 5.2.11.3 Top Competitors
- 5.2.11.4 Target Customers
- 5.2.11.5 Key Personnel
- 5.2.11.6 Analyst View
- 5.2.11.7 Market Share
- 5.2.12 Oracle
- 5.2.12.1 Overview
- 5.2.12.2 Top Products/Product Portfolio
- 5.2.12.3 Top Competitors
- 5.2.12.4 Target Customers
- 5.2.12.5 Key Personnel
- 5.2.12.6 Analyst View
- 5.2.12.7 Market Share
- 5.2.13 Altair
- 5.2.13.1 Overview
- 5.2.13.2 Top Products/Product Portfolio
- 5.2.13.3 Top Competitors
- 5.2.13.4 Target Customers
- 5.2.13.5 Key Personnel
- 5.2.13.6 Analyst View
- 5.2.13.7 Market Share
- 5.2.14 Splunk
- 5.2.14.1 Overview
- 5.2.14.2 Top Products/Product Portfolio
- 5.2.14.3 Top Competitors
- 5.2.14.4 Target Customers
- 5.2.14.5 Key Personnel
- 5.2.14.6 Analyst View
- 5.2.14.7 Market Share
- 5.2.15 Emerson Electric
- 5.2.15.1 Overview
- 5.2.15.2 Top Products/Product Portfolio
- 5.2.15.3 Top Competitors
- 5.2.15.4 Target Customers
- 5.2.15.5 Key Personnel
- 5.2.15.6 Analyst View
- 5.2.15.7 Market Share
- 5.2.16 Other Key Companies
- 5.2.1 ABB Ltd.
6. Research Methodology
