The global market for Predictive Maintenance Solution was valued at US$ 6138 million in the year 2024 and is projected to reach a revised size of US$ 18830 million by 2031, growing at a CAGR of 17.6% during the forecast period.
Modern businesses are in a time of unprecedented change and competition. The Amazon Effect has led to a rapid rise in consumer demands for control, personalization, and speed. A shifting trade and political climate has left many companies struggling to maintain affordable supply and manufacturing relationships. And as more and more businesses undergo digital transformation, competition is rising and the margin for error is increasingly slim. As a result, today鈥檚 business leaders are looking to gain a competitive edge through smart solutions, solutions mainly include reactive, preventive, and predictive maintenance, which predict when asset maintenance is needed, help increase cost efficiency, and streamline their often complex enterprise asset management requirements.
Global core predictive maintenance solution manufacturers include IBM, Microsoft, SAP etc.The top 5 companies hold a share about 70%.North America is the largest market, with a share about 35%, followed by Europe and Asia Pacific with the share about 30% and 28%.In terms of product, cloud based is the largest segment, with a share over 75%. And in terms of application, the largest application is industrial and manufacturing, followed by transportation and logistics.
This report aims to provide a comprehensive presentation of the global market for Predictive Maintenance Solution, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Predictive Maintenance Solution.
The Predictive Maintenance Solution market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Predictive Maintenance Solution market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Predictive Maintenance Solution companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
IBM
Microsoft
SAP
GE Digital
Schneider
Hitachi
Siemens
Intel
RapidMiner
Rockwell Automation
Software AG
Cisco
Oracle
Fujitsu
Dassault Systemes
Augury Systems
TIBCO Software
Uptake
Honeywell
PTC
Huawei
ABB
AVEVA
SAS
SKF
Emerson
Mpulse
Maintenance Connection
Dingo
Particle
Segment by Type
Cloud Based
On-premises
Segment by Application
Industrial and Manufacturing
Transportation and Logistics
Energy and Utilities
Healthcare and Life Sciences
Education and Government
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Predictive Maintenance Solution company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Predictive Maintenance Solution Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Cloud Based
1.2.3 On-premises
1.3 Market by Application
1.3.1 Global Predictive Maintenance Solution Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Industrial and Manufacturing
1.3.3 Transportation and Logistics
1.3.4 Energy and Utilities
1.3.5 Healthcare and Life Sciences
1.3.6 Education and Government
1.3.7 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Predictive Maintenance Solution Market Perspective (2020-2031)
2.2 Global Predictive Maintenance Solution Growth Trends by Region
2.2.1 Global Predictive Maintenance Solution Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 Predictive Maintenance Solution Historic Market Size by Region (2020-2025)
2.2.3 Predictive Maintenance Solution Forecasted Market Size by Region (2026-2031)
2.3 Predictive Maintenance Solution Market Dynamics
2.3.1 Predictive Maintenance Solution Industry Trends
2.3.2 Predictive Maintenance Solution Market Drivers
2.3.3 Predictive Maintenance Solution Market Challenges
2.3.4 Predictive Maintenance Solution Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Predictive Maintenance Solution Players by Revenue
3.1.1 Global Top Predictive Maintenance Solution Players by Revenue (2020-2025)
3.1.2 Global Predictive Maintenance Solution Revenue Market Share by Players (2020-2025)
3.2 Global Predictive Maintenance Solution Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Predictive Maintenance Solution Revenue
3.4 Global Predictive Maintenance Solution Market Concentration Ratio
3.4.1 Global Predictive Maintenance Solution Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Predictive Maintenance Solution Revenue in 2024
3.5 Global Key Players of Predictive Maintenance Solution Head office and Area Served
3.6 Global Key Players of Predictive Maintenance Solution, Product and Application
3.7 Global Key Players of Predictive Maintenance Solution, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Predictive Maintenance Solution Breakdown Data by Type
4.1 Global Predictive Maintenance Solution Historic Market Size by Type (2020-2025)
4.2 Global Predictive Maintenance Solution Forecasted Market Size by Type (2026-2031)
5 Predictive Maintenance Solution Breakdown Data by Application
5.1 Global Predictive Maintenance Solution Historic Market Size by Application (2020-2025)
5.2 Global Predictive Maintenance Solution Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America Predictive Maintenance Solution Market Size (2020-2031)
6.2 North America Predictive Maintenance Solution Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Predictive Maintenance Solution Market Size by Country (2020-2025)
6.4 North America Predictive Maintenance Solution Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Predictive Maintenance Solution Market Size (2020-2031)
7.2 Europe Predictive Maintenance Solution Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Predictive Maintenance Solution Market Size by Country (2020-2025)
7.4 Europe Predictive Maintenance Solution Market Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Predictive Maintenance Solution Market Size (2020-2031)
8.2 Asia-Pacific Predictive Maintenance Solution Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Predictive Maintenance Solution Market Size by Region (2020-2025)
8.4 Asia-Pacific Predictive Maintenance Solution Market Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Predictive Maintenance Solution Market Size (2020-2031)
9.2 Latin America Predictive Maintenance Solution Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Predictive Maintenance Solution Market Size by Country (2020-2025)
9.4 Latin America Predictive Maintenance Solution Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Predictive Maintenance Solution Market Size (2020-2031)
10.2 Middle East & Africa Predictive Maintenance Solution Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Predictive Maintenance Solution Market Size by Country (2020-2025)
10.4 Middle East & Africa Predictive Maintenance Solution Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Details
11.1.2 IBM Business Overview
11.1.3 IBM Predictive Maintenance Solution Introduction
11.1.4 IBM Revenue in Predictive Maintenance Solution Business (2020-2025)
11.1.5 IBM Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Details
11.2.2 Microsoft Business Overview
11.2.3 Microsoft Predictive Maintenance Solution Introduction
11.2.4 Microsoft Revenue in Predictive Maintenance Solution Business (2020-2025)
11.2.5 Microsoft Recent Development
11.3 SAP
11.3.1 SAP Company Details
11.3.2 SAP Business Overview
11.3.3 SAP Predictive Maintenance Solution Introduction
11.3.4 SAP Revenue in Predictive Maintenance Solution Business (2020-2025)
11.3.5 SAP Recent Development
11.4 GE Digital
11.4.1 GE Digital Company Details
11.4.2 GE Digital Business Overview
11.4.3 GE Digital Predictive Maintenance Solution Introduction
11.4.4 GE Digital Revenue in Predictive Maintenance Solution Business (2020-2025)
11.4.5 GE Digital Recent Development
11.5 Schneider
11.5.1 Schneider Company Details
11.5.2 Schneider Business Overview
11.5.3 Schneider Predictive Maintenance Solution Introduction
11.5.4 Schneider Revenue in Predictive Maintenance Solution Business (2020-2025)
11.5.5 Schneider Recent Development
11.6 Hitachi
11.6.1 Hitachi Company Details
11.6.2 Hitachi Business Overview
11.6.3 Hitachi Predictive Maintenance Solution Introduction
11.6.4 Hitachi Revenue in Predictive Maintenance Solution Business (2020-2025)
11.6.5 Hitachi Recent Development
11.7 Siemens
11.7.1 Siemens Company Details
11.7.2 Siemens Business Overview
11.7.3 Siemens Predictive Maintenance Solution Introduction
11.7.4 Siemens Revenue in Predictive Maintenance Solution Business (2020-2025)
11.7.5 Siemens Recent Development
11.8 Intel
11.8.1 Intel Company Details
11.8.2 Intel Business Overview
11.8.3 Intel Predictive Maintenance Solution Introduction
11.8.4 Intel Revenue in Predictive Maintenance Solution Business (2020-2025)
11.8.5 Intel Recent Development
11.9 RapidMiner
11.9.1 RapidMiner Company Details
11.9.2 RapidMiner Business Overview
11.9.3 RapidMiner Predictive Maintenance Solution Introduction
11.9.4 RapidMiner Revenue in Predictive Maintenance Solution Business (2020-2025)
11.9.5 RapidMiner Recent Development
11.10 Rockwell Automation
11.10.1 Rockwell Automation Company Details
11.10.2 Rockwell Automation Business Overview
11.10.3 Rockwell Automation Predictive Maintenance Solution Introduction
11.10.4 Rockwell Automation Revenue in Predictive Maintenance Solution Business (2020-2025)
11.10.5 Rockwell Automation Recent Development
11.11 Software AG
11.11.1 Software AG Company Details
11.11.2 Software AG Business Overview
11.11.3 Software AG Predictive Maintenance Solution Introduction
11.11.4 Software AG Revenue in Predictive Maintenance Solution Business (2020-2025)
11.11.5 Software AG Recent Development
11.12 Cisco
11.12.1 Cisco Company Details
11.12.2 Cisco Business Overview
11.12.3 Cisco Predictive Maintenance Solution Introduction
11.12.4 Cisco Revenue in Predictive Maintenance Solution Business (2020-2025)
11.12.5 Cisco Recent Development
11.13 Oracle
11.13.1 Oracle Company Details
11.13.2 Oracle Business Overview
11.13.3 Oracle Predictive Maintenance Solution Introduction
11.13.4 Oracle Revenue in Predictive Maintenance Solution Business (2020-2025)
11.13.5 Oracle Recent Development
11.14 Fujitsu
11.14.1 Fujitsu Company Details
11.14.2 Fujitsu Business Overview
11.14.3 Fujitsu Predictive Maintenance Solution Introduction
11.14.4 Fujitsu Revenue in Predictive Maintenance Solution Business (2020-2025)
11.14.5 Fujitsu Recent Development
11.15 Dassault Systemes
11.15.1 Dassault Systemes Company Details
11.15.2 Dassault Systemes Business Overview
11.15.3 Dassault Systemes Predictive Maintenance Solution Introduction
11.15.4 Dassault Systemes Revenue in Predictive Maintenance Solution Business (2020-2025)
11.15.5 Dassault Systemes Recent Development
11.16 Augury Systems
11.16.1 Augury Systems Company Details
11.16.2 Augury Systems Business Overview
11.16.3 Augury Systems Predictive Maintenance Solution Introduction
11.16.4 Augury Systems Revenue in Predictive Maintenance Solution Business (2020-2025)
11.16.5 Augury Systems Recent Development
11.17 TIBCO Software
11.17.1 TIBCO Software Company Details
11.17.2 TIBCO Software Business Overview
11.17.3 TIBCO Software Predictive Maintenance Solution Introduction
11.17.4 TIBCO Software Revenue in Predictive Maintenance Solution Business (2020-2025)
11.17.5 TIBCO Software Recent Development
11.18 Uptake
11.18.1 Uptake Company Details
11.18.2 Uptake Business Overview
11.18.3 Uptake Predictive Maintenance Solution Introduction
11.18.4 Uptake Revenue in Predictive Maintenance Solution Business (2020-2025)
11.18.5 Uptake Recent Development
11.19 Honeywell
11.19.1 Honeywell Company Details
11.19.2 Honeywell Business Overview
11.19.3 Honeywell Predictive Maintenance Solution Introduction
11.19.4 Honeywell Revenue in Predictive Maintenance Solution Business (2020-2025)
11.19.5 Honeywell Recent Development
11.20 PTC
11.20.1 PTC Company Details
11.20.2 PTC Business Overview
11.20.3 PTC Predictive Maintenance Solution Introduction
11.20.4 PTC Revenue in Predictive Maintenance Solution Business (2020-2025)
11.20.5 PTC Recent Development
11.21 Huawei
11.21.1 Huawei Company Details
11.21.2 Huawei Business Overview
11.21.3 Huawei Predictive Maintenance Solution Introduction
11.21.4 Huawei Revenue in Predictive Maintenance Solution Business (2020-2025)
11.21.5 Huawei Recent Development
11.22 ABB
11.22.1 ABB Company Details
11.22.2 ABB Business Overview
11.22.3 ABB Predictive Maintenance Solution Introduction
11.22.4 ABB Revenue in Predictive Maintenance Solution Business (2020-2025)
11.22.5 ABB Recent Development
11.23 AVEVA
11.23.1 AVEVA Company Details
11.23.2 AVEVA Business Overview
11.23.3 AVEVA Predictive Maintenance Solution Introduction
11.23.4 AVEVA Revenue in Predictive Maintenance Solution Business (2020-2025)
11.23.5 AVEVA Recent Development
11.24 SAS
11.24.1 SAS Company Details
11.24.2 SAS Business Overview
11.24.3 SAS Predictive Maintenance Solution Introduction
11.24.4 SAS Revenue in Predictive Maintenance Solution Business (2020-2025)
11.24.5 SAS Recent Development
11.25 SKF
11.25.1 SKF Company Details
11.25.2 SKF Business Overview
11.25.3 SKF Predictive Maintenance Solution Introduction
11.25.4 SKF Revenue in Predictive Maintenance Solution Business (2020-2025)
11.25.5 SKF Recent Development
11.26 Emerson
11.26.1 Emerson Company Details
11.26.2 Emerson Business Overview
11.26.3 Emerson Predictive Maintenance Solution Introduction
11.26.4 Emerson Revenue in Predictive Maintenance Solution Business (2020-2025)
11.26.5 Emerson Recent Development
11.27 Mpulse
11.27.1 Mpulse Company Details
11.27.2 Mpulse Business Overview
11.27.3 Mpulse Predictive Maintenance Solution Introduction
11.27.4 Mpulse Revenue in Predictive Maintenance Solution Business (2020-2025)
11.27.5 Mpulse Recent Development
11.28 Maintenance Connection
11.28.1 Maintenance Connection Company Details
11.28.2 Maintenance Connection Business Overview
11.28.3 Maintenance Connection Predictive Maintenance Solution Introduction
11.28.4 Maintenance Connection Revenue in Predictive Maintenance Solution Business (2020-2025)
11.28.5 Maintenance Connection Recent Development
11.29 Dingo
11.29.1 Dingo Company Details
11.29.2 Dingo Business Overview
11.29.3 Dingo Predictive Maintenance Solution Introduction
11.29.4 Dingo Revenue in Predictive Maintenance Solution Business (2020-2025)
11.29.5 Dingo Recent Development
11.30 Particle
11.30.1 Particle Company Details
11.30.2 Particle Business Overview
11.30.3 Particle Predictive Maintenance Solution Introduction
11.30.4 Particle Revenue in Predictive Maintenance Solution Business (2020-2025)
11.30.5 Particle Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
IBM
Microsoft
SAP
GE Digital
Schneider
Hitachi
Siemens
Intel
RapidMiner
Rockwell Automation
Software AG
Cisco
Oracle
Fujitsu
Dassault Systemes
Augury Systems
TIBCO Software
Uptake
Honeywell
PTC
Huawei
ABB
AVEVA
SAS
SKF
Emerson
Mpulse
Maintenance Connection
Dingo
Particle
听
听
*If Applicable.
