
Predictive maintenance (PdM) techniques are designed to help determine the condition of in-service equipment in order to predict when maintenance should be performed. This approach promises cost savings over routine or time-based preventive maintenance, because tasks are performed only when warranted.
The global Predictive Maintenance market was valued at US$ 2383.1 million in 2023 and is anticipated to reach US$ 7080.9 million by 2030, witnessing a CAGR of 16.3% during the forecast period 2024-2030.
North America is expected to have the largest market share and would dominate the predictive maintenance market during the forecast period. The Asia-Pacific (APAC) region offers potential growth opportunities for the market and is expected to grow at the highest CAGR during the forecast period. APAC and Middle East & Africa (MEA) markets are investing heavily on predictive maintenance solutions and services to increase their production efficiency by reducing unplanned downtime and operational costs.
This report aims to provide a comprehensive presentation of the global market for Predictive Maintenance, 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.
Report Scope
The Predictive Maintenance market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Predictive Maintenance 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 companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price 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
Augury Systems
Bosch Software Innovations
C3 IoT
Dell
Fluke
General Electric
Hitachi
Honeywell
IBM
PTC
Rapidminer
Rockwell
SAP
SAS Institute
Schneider
Senseye
Software
Softweb Solutions
T-Systems International
Warwick Analytics
Segment by Type
Cloud
On-premises
Segment by Application
Government
Aerospace and Defense
Energy and Utilities
Healthcare
Manufacturing
Transportation and Logistics
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
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 companies’ 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.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Predictive Maintenance Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud
1.2.3 On-premises
1.3 Market by Application
1.3.1 Global Predictive Maintenance Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Government
1.3.3 Aerospace and Defense
1.3.4 Energy and Utilities
1.3.5 Healthcare
1.3.6 Manufacturing
1.3.7 Transportation and Logistics
1.3.8 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Predictive Maintenance Market Perspective (2019-2030)
2.2 Predictive Maintenance Growth Trends by Region
2.2.1 Global Predictive Maintenance Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Predictive Maintenance Historic Market Size by Region (2019-2024)
2.2.3 Predictive Maintenance Forecasted Market Size by Region (2025-2030)
2.3 Predictive Maintenance Market Dynamics
2.3.1 Predictive Maintenance Industry Trends
2.3.2 Predictive Maintenance Market Drivers
2.3.3 Predictive Maintenance Market Challenges
2.3.4 Predictive Maintenance Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Predictive Maintenance Players by Revenue
3.1.1 Global Top Predictive Maintenance Players by Revenue (2019-2024)
3.1.2 Global Predictive Maintenance Revenue Market Share by Players (2019-2024)
3.2 Global Predictive Maintenance Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Predictive Maintenance Revenue
3.4 Global Predictive Maintenance Market Concentration Ratio
3.4.1 Global Predictive Maintenance Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Predictive Maintenance Revenue in 2023
3.5 Predictive Maintenance Key Players Head office and Area Served
3.6 Key Players Predictive Maintenance Product Solution and Service
3.7 Date of Enter into Predictive Maintenance Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Predictive Maintenance Breakdown Data by Type
4.1 Global Predictive Maintenance Historic Market Size by Type (2019-2024)
4.2 Global Predictive Maintenance Forecasted Market Size by Type (2025-2030)
5 Predictive Maintenance Breakdown Data by Application
5.1 Global Predictive Maintenance Historic Market Size by Application (2019-2024)
5.2 Global Predictive Maintenance Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Predictive Maintenance Market Size (2019-2030)
6.2 North America Predictive Maintenance Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Predictive Maintenance Market Size by Country (2019-2024)
6.4 North America Predictive Maintenance Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Predictive Maintenance Market Size (2019-2030)
7.2 Europe Predictive Maintenance Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Predictive Maintenance Market Size by Country (2019-2024)
7.4 Europe Predictive Maintenance Market Size by Country (2025-2030)
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 Market Size (2019-2030)
8.2 Asia-Pacific Predictive Maintenance Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Predictive Maintenance Market Size by Region (2019-2024)
8.4 Asia-Pacific Predictive Maintenance Market Size by Region (2025-2030)
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 Market Size (2019-2030)
9.2 Latin America Predictive Maintenance Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Predictive Maintenance Market Size by Country (2019-2024)
9.4 Latin America Predictive Maintenance Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Predictive Maintenance Market Size (2019-2030)
10.2 Middle East & Africa Predictive Maintenance Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Predictive Maintenance Market Size by Country (2019-2024)
10.4 Middle East & Africa Predictive Maintenance Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Augury Systems
11.1.1 Augury Systems Company Detail
11.1.2 Augury Systems Business Overview
11.1.3 Augury Systems Predictive Maintenance Introduction
11.1.4 Augury Systems Revenue in Predictive Maintenance Business (2019-2024)
11.1.5 Augury Systems Recent Development
11.2 Bosch Software Innovations
11.2.1 Bosch Software Innovations Company Detail
11.2.2 Bosch Software Innovations Business Overview
11.2.3 Bosch Software Innovations Predictive Maintenance Introduction
11.2.4 Bosch Software Innovations Revenue in Predictive Maintenance Business (2019-2024)
11.2.5 Bosch Software Innovations Recent Development
11.3 C3 IoT
11.3.1 C3 IoT Company Detail
11.3.2 C3 IoT Business Overview
11.3.3 C3 IoT Predictive Maintenance Introduction
11.3.4 C3 IoT Revenue in Predictive Maintenance Business (2019-2024)
11.3.5 C3 IoT Recent Development
11.4 Dell
11.4.1 Dell Company Detail
11.4.2 Dell Business Overview
11.4.3 Dell Predictive Maintenance Introduction
11.4.4 Dell Revenue in Predictive Maintenance Business (2019-2024)
11.4.5 Dell Recent Development
11.5 Fluke
11.5.1 Fluke Company Detail
11.5.2 Fluke Business Overview
11.5.3 Fluke Predictive Maintenance Introduction
11.5.4 Fluke Revenue in Predictive Maintenance Business (2019-2024)
11.5.5 Fluke Recent Development
11.6 General Electric
11.6.1 General Electric Company Detail
11.6.2 General Electric Business Overview
11.6.3 General Electric Predictive Maintenance Introduction
11.6.4 General Electric Revenue in Predictive Maintenance Business (2019-2024)
11.6.5 General Electric Recent Development
11.7 Hitachi
11.7.1 Hitachi Company Detail
11.7.2 Hitachi Business Overview
11.7.3 Hitachi Predictive Maintenance Introduction
11.7.4 Hitachi Revenue in Predictive Maintenance Business (2019-2024)
11.7.5 Hitachi Recent Development
11.8 Honeywell
11.8.1 Honeywell Company Detail
11.8.2 Honeywell Business Overview
11.8.3 Honeywell Predictive Maintenance Introduction
11.8.4 Honeywell Revenue in Predictive Maintenance Business (2019-2024)
11.8.5 Honeywell Recent Development
11.9 IBM
11.9.1 IBM Company Detail
11.9.2 IBM Business Overview
11.9.3 IBM Predictive Maintenance Introduction
11.9.4 IBM Revenue in Predictive Maintenance Business (2019-2024)
11.9.5 IBM Recent Development
11.10 PTC
11.10.1 PTC Company Detail
11.10.2 PTC Business Overview
11.10.3 PTC Predictive Maintenance Introduction
11.10.4 PTC Revenue in Predictive Maintenance Business (2019-2024)
11.10.5 PTC Recent Development
11.11 Rapidminer
11.11.1 Rapidminer Company Detail
11.11.2 Rapidminer Business Overview
11.11.3 Rapidminer Predictive Maintenance Introduction
11.11.4 Rapidminer Revenue in Predictive Maintenance Business (2019-2024)
11.11.5 Rapidminer Recent Development
11.12 Rockwell
11.12.1 Rockwell Company Detail
11.12.2 Rockwell Business Overview
11.12.3 Rockwell Predictive Maintenance Introduction
11.12.4 Rockwell Revenue in Predictive Maintenance Business (2019-2024)
11.12.5 Rockwell Recent Development
11.13 SAP
11.13.1 SAP Company Detail
11.13.2 SAP Business Overview
11.13.3 SAP Predictive Maintenance Introduction
11.13.4 SAP Revenue in Predictive Maintenance Business (2019-2024)
11.13.5 SAP Recent Development
11.14 SAS Institute
11.14.1 SAS Institute Company Detail
11.14.2 SAS Institute Business Overview
11.14.3 SAS Institute Predictive Maintenance Introduction
11.14.4 SAS Institute Revenue in Predictive Maintenance Business (2019-2024)
11.14.5 SAS Institute Recent Development
11.15 Schneider
11.15.1 Schneider Company Detail
11.15.2 Schneider Business Overview
11.15.3 Schneider Predictive Maintenance Introduction
11.15.4 Schneider Revenue in Predictive Maintenance Business (2019-2024)
11.15.5 Schneider Recent Development
11.16 Senseye
11.16.1 Senseye Company Detail
11.16.2 Senseye Business Overview
11.16.3 Senseye Predictive Maintenance Introduction
11.16.4 Senseye Revenue in Predictive Maintenance Business (2019-2024)
11.16.5 Senseye Recent Development
11.17 Software
11.17.1 Software Company Detail
11.17.2 Software Business Overview
11.17.3 Software Predictive Maintenance Introduction
11.17.4 Software Revenue in Predictive Maintenance Business (2019-2024)
11.17.5 Software Recent Development
11.18 Softweb Solutions
11.18.1 Softweb Solutions Company Detail
11.18.2 Softweb Solutions Business Overview
11.18.3 Softweb Solutions Predictive Maintenance Introduction
11.18.4 Softweb Solutions Revenue in Predictive Maintenance Business (2019-2024)
11.18.5 Softweb Solutions Recent Development
11.19 T-Systems International
11.19.1 T-Systems International Company Detail
11.19.2 T-Systems International Business Overview
11.19.3 T-Systems International Predictive Maintenance Introduction
11.19.4 T-Systems International Revenue in Predictive Maintenance Business (2019-2024)
11.19.5 T-Systems International Recent Development
11.20 Warwick Analytics
11.20.1 Warwick Analytics Company Detail
11.20.2 Warwick Analytics Business Overview
11.20.3 Warwick Analytics Predictive Maintenance Introduction
11.20.4 Warwick Analytics Revenue in Predictive Maintenance Business (2019-2024)
11.20.5 Warwick Analytics Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Augury Systems
Bosch Software Innovations
C3 IoT
Dell
Fluke
General Electric
Hitachi
Honeywell
IBM
PTC
Rapidminer
Rockwell
SAP
SAS Institute
Schneider
Senseye
Software
Softweb Solutions
T-Systems International
Warwick Analytics
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*If Applicable.
