Industry: Service & Software
Published Date: 2025-08-05
Pages: 126 Pages
Report ld: 4141188
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Predictive Maintenance (PdM) Software Market Size(US$)

CAGR 2025-2031
16.7%
Market Size,2031
USD 11,474
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global market for Predictive Maintenance (PdM) Software was valued at US$ 3898 million in the year 2024 and is projected to reach a revised size of US$ 11474 million by 2031, growing at a CAGR of 16.7% during the forecast period.
Predictive Maintenance (PdM) Software is a data-driven tool that uses real-time equipment data, analytics, and machine learning algorithms to predict when machinery is likely to fail or require maintenance. By continuously monitoring parameters such as temperature, vibration, and pressure, PdM software identifies patterns and anomalies that indicate potential issues. This allows maintenance teams to perform repairs proactively—before breakdowns occur—reducing unplanned downtime, minimizing maintenance costs, and extending equipment lifespan. PdM software is a core component of smart manufacturing and is widely used in industries such as automotive, energy, aerospace, and heavy machinery.
Market Drivers
Reduction in Downtime and Maintenance Costs: PdM software helps detect early signs of equipment failure, allowing timely interventions. This significantly reduces unplanned downtime and lowers overall maintenance costs, improving operational efficiency.
Integration of IoT, AI, and Machine Learning: The combination of industrial sensors with AI/ML algorithms enables real-time data collection and intelligent analysis, leading to accurate failure prediction and optimized maintenance planning.
Rise of Industry 4.0 and Smart Manufacturing: As digital transformation accelerates across manufacturing, PdM software becomes a core component of smart factory systems, integrating with ERP, CMMS, and automation platforms.
Cloud and Edge Computing Enable Flexibility: Cloud-based deployments offer scalability, easier remote access, and reduced upfront costs. Edge computing provides real-time decision-making capabilities, essential for time-sensitive industrial environments.
Growing Adoption by Small and Medium Enterprises (SMEs): With the rise of subscription-based models (SaaS) and decreasing sensor costs, PdM software is becoming more accessible to SMEs seeking leaner, more predictive maintenance operations.
Market Challenges
High Implementation Cost and Complexity: Installing sensors, integrating systems, and developing AI models require significant investment and technical effort. Many organizations find it difficult to justify the initial cost, especially with long ROI timelines.
Data Quality and Integration Issues: Legacy equipment and fragmented IT infrastructure often result in incomplete or inconsistent data. Poor data quality weakens the accuracy and reliability of PdM analytics.
Lack of Skilled Talent: Effective use of PdM software demands expertise in data science, machine learning, industrial systems, and software integration. A shortage of qualified professionals slows down adoption and deployment.
Cybersecurity and Data Privacy Risks: As industrial systems become connected and cloud-based, the risk of cyberattacks increases. Protecting sensitive machine data and ensuring compliance with data privacy standards add to implementation costs.
Organizational Resistance and Cultural Barriers: Some maintenance teams are hesitant to adopt AI-driven tools, preferring traditional methods. Resistance to change and lack of trust in new technologies can hinder implementation success.
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.
The Predictive Maintenance (PdM) Software 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 (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 for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
MARKET SEGMENTATION
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 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.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
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TABLE OF CONTENTS
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: 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 (PdM) Software 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 Aerospace and Defense
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 (PdM) Software Market Perspective (2020-2031)
2.2 Global Predictive Maintenance (PdM) Software Growth Trends by Region
2.2.1 Global Predictive Maintenance (PdM) Software Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 Predictive Maintenance (PdM) Software Historic Market Size by Region (2020-2025)
2.2.3 Predictive Maintenance (PdM) Software Forecasted Market Size by Region (2026-2031)
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 (2020-2025)
3.1.2 Global Predictive Maintenance (PdM) Software Revenue Market Share by Players (2020-2025)
3.2 Global Top Predictive Maintenance (PdM) Software Players by Company Type and Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players 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 2024
3.5 Global Key Players of Predictive Maintenance (PdM) Software Head office and Area Served
3.6 Global Key Players of Predictive Maintenance (PdM) Software, Product and Application
3.7 Global Key Players of Predictive Maintenance (PdM) Software, Date of Enter into This Industry
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 (2020-2025)
4.2 Global Predictive Maintenance (PdM) Software Forecasted Market Size by Type (2026-2031)
5 Predictive Maintenance (PdM) Software Breakdown Data by Application
5.1 Global Predictive Maintenance (PdM) Software Historic Market Size by Application (2020-2025)
5.2 Global Predictive Maintenance (PdM) Software Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America Predictive Maintenance (PdM) Software Market Size (2020-2031)
6.2 North America Predictive Maintenance (PdM) Software Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Predictive Maintenance (PdM) Software Market Size by Country (2020-2025)
6.4 North America Predictive Maintenance (PdM) Software Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Predictive Maintenance (PdM) Software Market Size (2020-2031)
7.2 Europe Predictive Maintenance (PdM) Software Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Predictive Maintenance (PdM) Software Market Size by Country (2020-2025)
7.4 Europe Predictive Maintenance (PdM) Software Market Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Ireland
8 Asia-Pacific
8.1 Asia-Pacific Predictive Maintenance (PdM) Software Market Size (2020-2031)
8.2 Asia-Pacific Predictive Maintenance (PdM) Software Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Predictive Maintenance (PdM) Software Market Size by Region (2020-2025)
8.4 Asia-Pacific Predictive Maintenance (PdM) Software 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 & New Zealand
9 Latin America
9.1 Latin America Predictive Maintenance (PdM) Software Market Size (2020-2031)
9.2 Latin America Predictive Maintenance (PdM) Software Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Predictive Maintenance (PdM) Software Market Size by Country (2020-2025)
9.4 Latin America Predictive Maintenance (PdM) Software Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Predictive Maintenance (PdM) Software Market Size (2020-2031)
10.2 Middle East & Africa Predictive Maintenance (PdM) Software Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Predictive Maintenance (PdM) Software Market Size by Country (2020-2025)
10.4 Middle East & Africa Predictive Maintenance (PdM) Software Market Size by Country (2026-2031)
10.5 Israel
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 (PdM) Software Introduction
11.1.4 IBM Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.2.4 Microsoft Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.3.4 SAP Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.4.4 GE Digital Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.5.4 Schneider Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.6.4 Hitachi Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.7.4 Siemens Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.8.4 Intel Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.9.4 RapidMiner Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.10.4 Rockwell Automation Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.11.4 Software AG Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.12.4 Cisco Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.13.4 Oracle Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.14.4 Fujitsu Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.15.4 Dassault Systemes Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.16.4 Augury Systems Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.17.4 TIBCO Software Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.18.4 Uptake Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.19.4 Honeywell Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.20.4 PTC Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.21.4 Huawei Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.22.4 ABB Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.23.4 AVEVA Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.24.4 SAS Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.25.4 SKF Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.26.4 Emerson Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.27.4 Mpulse Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.28.4 Maintenance Connection Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.29.4 Dingo Revenue in Predictive Maintenance (PdM) Software 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 (PdM) Software Introduction
11.30.4 Particle Revenue in Predictive Maintenance (PdM) Software Business (2020-2025)
11.30.5 Particle Recent Development
11.31 Bosch
11.31.1 Bosch Company Details
11.31.2 Bosch Business Overview
11.31.3 Bosch Predictive Maintenance (PdM) Software Introduction
11.31.4 Bosch Revenue in Predictive Maintenance (PdM) Software Business (2020-2025)
11.31.5 Bosch Recent Development
11.32 C3.ai
11.32.1 C3.ai Company Details
11.32.2 C3.ai Business Overview
11.32.3 C3.ai Predictive Maintenance (PdM) Software Introduction
11.32.4 C3.ai Revenue in Predictive Maintenance (PdM) Software Business (2020-2025)
11.32.5 C3.ai Recent Development
11.33 Dell
11.33.1 Dell Company Details
11.33.2 Dell Business Overview
11.33.3 Dell Predictive Maintenance (PdM) Software Introduction
11.33.4 Dell Revenue in Predictive Maintenance (PdM) Software Business (2020-2025)
11.33.5 Dell Recent Development
11.34 Sigma Industrial Precision
11.34.1 Sigma Industrial Precision Company Details
11.34.2 Sigma Industrial Precision Business Overview
11.34.3 Sigma Industrial Precision Predictive Maintenance (PdM) Software Introduction
11.34.4 Sigma Industrial Precision Revenue in Predictive Maintenance (PdM) Software Business (2020-2025)
11.34.5 Sigma Industrial Precision 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
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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