Predictive maintenance is maintenance that directly monitors the condition and performance of equipment during normal operation to reduce the likelihood of failures. It attempts to keep costs low by reducing the frequency of maintenance tasks, reducing unplanned breakdowns and eliminating unnecessary preventive maintenance.
Predictive maintenance software enables manufacturers to closely monitor machines with sensors and actuators embedded in the equipment. Using streaming analytics to continuously analyse sensor data and combine it with historical intelligence, this predictive maintenance software is able to more accurately predict equipment failures and dispatch maintenance services only when they are needed. And some solution also take automated intelligent action to dispatch a part or schedule a technician, monitoring machine performance and field service techniciansā task lists in real time for more dynamic scheduling. The result is lower technician costs, improved service levels and greater machine uptimeāall contributing to improved profitability and product quality.
The global Predictive Maintenance (PdM) Software market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Predictive Maintenance (PdM) Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Predictive Maintenance (PdM) Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Predictive Maintenance (PdM) Software in Industrial and Manufacturing is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Predictive Maintenance (PdM) Software include IBM, Microsoft, SAP, GE Digital, Schneider, Hitachi, Siemens, Intel and RapidMiner, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Predictive Maintenance (PdM) Software, 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 (PdM) Software.
Report Scope
The Predictive Maintenance (PdM) Software 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 (PdM) Software 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 (PdM) Software 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
IBM
Microsoft
SAP
GE Digital
Schneider
Hitachi
Siemens
Intel
RapidMiner
Rockwell Automation
Software AG
Cisco
Bosch.IO
C3.ai
Dell
Augury Systems
Senseye
T-Systems International
TIBCO Software
Fiix
Uptake
Sigma Industrial Precision
Dingo
Huawei
ABB
AVEVA
SAS
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
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 (PdM) Software companiesā 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 (PdM) Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud Based
1.2.3 On-premises
1.3 Market by Application
1.3.1 Global Predictive Maintenance (PdM) Software Market Growth by Application: 2019 VS 2023 VS 2030
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 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Predictive Maintenance (PdM) Software Market Perspective (2019-2030)
2.2 Predictive Maintenance (PdM) Software Growth Trends by Region
2.2.1 Global Predictive Maintenance (PdM) Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Predictive Maintenance (PdM) Software Historic Market Size by Region (2019-2024)
2.2.3 Predictive Maintenance (PdM) Software Forecasted Market Size by Region (2025-2030)
2.3 Predictive Maintenance (PdM) Software Market Dynamics
2.3.1 Predictive Maintenance (PdM) Software Industry Trends
2.3.2 Predictive Maintenance (PdM) Software Market Drivers
2.3.3 Predictive Maintenance (PdM) Software Market Challenges
2.3.4 Predictive Maintenance (PdM) Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Predictive Maintenance (PdM) Software Players by Revenue
3.1.1 Global Top Predictive Maintenance (PdM) Software Players by Revenue (2019-2024)
3.1.2 Global Predictive Maintenance (PdM) Software Revenue Market Share by Players (2019-2024)
3.2 Global Predictive Maintenance (PdM) Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Predictive Maintenance (PdM) Software Revenue
3.4 Global Predictive Maintenance (PdM) Software Market Concentration Ratio
3.4.1 Global Predictive Maintenance (PdM) Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Predictive Maintenance (PdM) Software Revenue in 2023
3.5 Predictive Maintenance (PdM) Software Key Players Head office and Area Served
3.6 Key Players Predictive Maintenance (PdM) Software Product Solution and Service
3.7 Date of Enter into Predictive Maintenance (PdM) Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Predictive Maintenance (PdM) Software Breakdown Data by Type
4.1 Global Predictive Maintenance (PdM) Software Historic Market Size by Type (2019-2024)
4.2 Global Predictive Maintenance (PdM) Software Forecasted Market Size by Type (2025-2030)
5 Predictive Maintenance (PdM) Software Breakdown Data by Application
5.1 Global Predictive Maintenance (PdM) Software Historic Market Size by Application (2019-2024)
5.2 Global Predictive Maintenance (PdM) Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Predictive Maintenance (PdM) Software Market Size (2019-2030)
6.2 North America Predictive Maintenance (PdM) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Predictive Maintenance (PdM) Software Market Size by Country (2019-2024)
6.4 North America Predictive Maintenance (PdM) Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Predictive Maintenance (PdM) Software Market Size (2019-2030)
7.2 Europe Predictive Maintenance (PdM) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Predictive Maintenance (PdM) Software Market Size by Country (2019-2024)
7.4 Europe Predictive Maintenance (PdM) Software 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 (PdM) Software Market Size (2019-2030)
8.2 Asia-Pacific Predictive Maintenance (PdM) Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Predictive Maintenance (PdM) Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Predictive Maintenance (PdM) Software 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 (PdM) Software Market Size (2019-2030)
9.2 Latin America Predictive Maintenance (PdM) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Predictive Maintenance (PdM) Software Market Size by Country (2019-2024)
9.4 Latin America Predictive Maintenance (PdM) Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Predictive Maintenance (PdM) Software Market Size (2019-2030)
10.2 Middle East & Africa Predictive Maintenance (PdM) Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Predictive Maintenance (PdM) Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Predictive Maintenance (PdM) Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Predictive Maintenance (PdM) Software Introduction
11.1.4 IBM Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.1.5 IBM Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Detail
11.2.2 Microsoft Business Overview
11.2.3 Microsoft Predictive Maintenance (PdM) Software Introduction
11.2.4 Microsoft Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.2.5 Microsoft Recent Development
11.3 SAP
11.3.1 SAP Company Detail
11.3.2 SAP Business Overview
11.3.3 SAP Predictive Maintenance (PdM) Software Introduction
11.3.4 SAP Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.3.5 SAP Recent Development
11.4 GE Digital
11.4.1 GE Digital Company Detail
11.4.2 GE Digital Business Overview
11.4.3 GE Digital Predictive Maintenance (PdM) Software Introduction
11.4.4 GE Digital Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.4.5 GE Digital Recent Development
11.5 Schneider
11.5.1 Schneider Company Detail
11.5.2 Schneider Business Overview
11.5.3 Schneider Predictive Maintenance (PdM) Software Introduction
11.5.4 Schneider Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.5.5 Schneider Recent Development
11.6 Hitachi
11.6.1 Hitachi Company Detail
11.6.2 Hitachi Business Overview
11.6.3 Hitachi Predictive Maintenance (PdM) Software Introduction
11.6.4 Hitachi Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.6.5 Hitachi Recent Development
11.7 Siemens
11.7.1 Siemens Company Detail
11.7.2 Siemens Business Overview
11.7.3 Siemens Predictive Maintenance (PdM) Software Introduction
11.7.4 Siemens Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.7.5 Siemens Recent Development
11.8 Intel
11.8.1 Intel Company Detail
11.8.2 Intel Business Overview
11.8.3 Intel Predictive Maintenance (PdM) Software Introduction
11.8.4 Intel Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.8.5 Intel Recent Development
11.9 RapidMiner
11.9.1 RapidMiner Company Detail
11.9.2 RapidMiner Business Overview
11.9.3 RapidMiner Predictive Maintenance (PdM) Software Introduction
11.9.4 RapidMiner Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.9.5 RapidMiner Recent Development
11.10 Rockwell Automation
11.10.1 Rockwell Automation Company Detail
11.10.2 Rockwell Automation Business Overview
11.10.3 Rockwell Automation Predictive Maintenance (PdM) Software Introduction
11.10.4 Rockwell Automation Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.10.5 Rockwell Automation Recent Development
11.11 Software AG
11.11.1 Software AG Company Detail
11.11.2 Software AG Business Overview
11.11.3 Software AG Predictive Maintenance (PdM) Software Introduction
11.11.4 Software AG Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.11.5 Software AG Recent Development
11.12 Cisco
11.12.1 Cisco Company Detail
11.12.2 Cisco Business Overview
11.12.3 Cisco Predictive Maintenance (PdM) Software Introduction
11.12.4 Cisco Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.12.5 Cisco Recent Development
11.13 Bosch.IO
11.13.1 Bosch.IO Company Detail
11.13.2 Bosch.IO Business Overview
11.13.3 Bosch.IO Predictive Maintenance (PdM) Software Introduction
11.13.4 Bosch.IO Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.13.5 Bosch.IO Recent Development
11.14 C3.ai
11.14.1 C3.ai Company Detail
11.14.2 C3.ai Business Overview
11.14.3 C3.ai Predictive Maintenance (PdM) Software Introduction
11.14.4 C3.ai Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.14.5 C3.ai Recent Development
11.15 Dell
11.15.1 Dell Company Detail
11.15.2 Dell Business Overview
11.15.3 Dell Predictive Maintenance (PdM) Software Introduction
11.15.4 Dell Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.15.5 Dell Recent Development
11.16 Augury Systems
11.16.1 Augury Systems Company Detail
11.16.2 Augury Systems Business Overview
11.16.3 Augury Systems Predictive Maintenance (PdM) Software Introduction
11.16.4 Augury Systems Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.16.5 Augury Systems Recent Development
11.17 Senseye
11.17.1 Senseye Company Detail
11.17.2 Senseye Business Overview
11.17.3 Senseye Predictive Maintenance (PdM) Software Introduction
11.17.4 Senseye Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.17.5 Senseye Recent Development
11.18 T-Systems International
11.18.1 T-Systems International Company Detail
11.18.2 T-Systems International Business Overview
11.18.3 T-Systems International Predictive Maintenance (PdM) Software Introduction
11.18.4 T-Systems International Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.18.5 T-Systems International Recent Development
11.19 TIBCO Software
11.19.1 TIBCO Software Company Detail
11.19.2 TIBCO Software Business Overview
11.19.3 TIBCO Software Predictive Maintenance (PdM) Software Introduction
11.19.4 TIBCO Software Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.19.5 TIBCO Software Recent Development
11.20 Fiix
11.20.1 Fiix Company Detail
11.20.2 Fiix Business Overview
11.20.3 Fiix Predictive Maintenance (PdM) Software Introduction
11.20.4 Fiix Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.20.5 Fiix Recent Development
11.21 Uptake
11.21.1 Uptake Company Detail
11.21.2 Uptake Business Overview
11.21.3 Uptake Predictive Maintenance (PdM) Software Introduction
11.21.4 Uptake Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.21.5 Uptake Recent Development
11.22 Sigma Industrial Precision
11.22.1 Sigma Industrial Precision Company Detail
11.22.2 Sigma Industrial Precision Business Overview
11.22.3 Sigma Industrial Precision Predictive Maintenance (PdM) Software Introduction
11.22.4 Sigma Industrial Precision Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.22.5 Sigma Industrial Precision Recent Development
11.23 Dingo
11.23.1 Dingo Company Detail
11.23.2 Dingo Business Overview
11.23.3 Dingo Predictive Maintenance (PdM) Software Introduction
11.23.4 Dingo Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.23.5 Dingo Recent Development
11.24 Huawei
11.24.1 Huawei Company Detail
11.24.2 Huawei Business Overview
11.24.3 Huawei Predictive Maintenance (PdM) Software Introduction
11.24.4 Huawei Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.24.5 Huawei Recent Development
11.25 ABB
11.25.1 ABB Company Detail
11.25.2 ABB Business Overview
11.25.3 ABB Predictive Maintenance (PdM) Software Introduction
11.25.4 ABB Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.25.5 ABB Recent Development
11.26 AVEVA
11.26.1 AVEVA Company Detail
11.26.2 AVEVA Business Overview
11.26.3 AVEVA Predictive Maintenance (PdM) Software Introduction
11.26.4 AVEVA Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.26.5 AVEVA Recent Development
11.27 SAS
11.27.1 SAS Company Detail
11.27.2 SAS Business Overview
11.27.3 SAS Predictive Maintenance (PdM) Software Introduction
11.27.4 SAS Revenue in Predictive Maintenance (PdM) Software Business (2019-2024)
11.27.5 SAS 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
IBM
Microsoft
SAP
GE Digital
Schneider
Hitachi
Siemens
Intel
RapidMiner
Rockwell Automation
Software AG
Cisco
Bosch.IO
C3.ai
Dell
Augury Systems
Senseye
T-Systems International
TIBCO Software
Fiix
Uptake
Sigma Industrial Precision
Dingo
Huawei
ABB
AVEVA
SAS
Ģż
Ģż
*If Applicable.
