Industry: Service & Software
Published Date: 2025-08-05
Pages: 124 Pages
Report ld: 3422431
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Predictive Maintenance In Manufacturing Market Size(US$)

CAGR 2025-2031
18.6%
Market Size,2031
USD 26,597
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global market for Predictive Maintenance In Manufacturing was valued at US$ 8020 million in the year 2024 and is projected to reach a revised size of US$ 26597 million by 2031, growing at a CAGR of 18.6% during the forecast period.
Predictive Maintenance in Manufacturing is an intelligent maintenance strategy that uses technologies such as sensors, IoT, and artificial intelligence to monitor the real-time condition of equipment and predict potential failures before they occur. Analyzing operational data it enables maintenance to be performed at the optimal time, reducing unplanned downtime, minimizing repair costs, improving production efficiency, and extending equipment lifespan. It is a key component of smart manufacturing and Industry 4.0 initiatives.
Global key predictive maintenance in manufacturing players include SAP, Schneider and Siemens etc. The top 3 companies hold a share about 19%. North America is the largest market with a share about 35%, followed by Europe and Asia-Pacific. In terms of product, cloud based product is the largest segment with a share about 77%. And in terms of applications, the largest application is industrial and manufacturing with a share about 47%.
Market Drivers
Widespread Adoption of IoT, AI, and ML: Manufacturers are increasingly deploying IoT sensors and AI/ML analytics to continuously monitor equipment parameters like vibration, temperature, and pressure. This enables accurate predictions of failures and facilitates timely maintenance interventions, shifting the maintenance model from reactive to proactive.
Cost Reduction & Operational Efficiency: Predictive Maintenance significantly reduces unplanned downtime and unnecessary maintenance, resulting in cost savings of 10–40%. It also extends asset lifespan, boosts overall equipment effectiveness (OEE), and enhances production efficiency.
Industry 4.0 Integration: The evolution toward smart manufacturing fosters demand for predictive solutions. Predictive Maintenance is becoming integral to digital factories, integrated with ERP, CMMS, and other enterprise systems to streamline workflows.
Cloud & Edge Computing Enable Scalability: Cloud-based platforms facilitate scalable, centralized analytics without heavy IT infrastructure. Edge computing further supports real-time decision-making at the equipment level, reducing latency and bandwidth needs.
Regulatory Compliance & Asset Reliability: In regulated industries like automotive, energy, and aerospace, predictive maintenance supports safety and compliance requirements by proactively managing equipment health and reducing failure risk.
Market Challenges
High Upfront Investment & ROI Uncertainty: Implementing PdM requires investment in sensors, analytic platforms, data integration, and training. Especially for SMEs, justifying these investments can be difficult due to delayed or indirect ROI.
Data Integration & Quality Issues: Manufacturers often struggle with disparate, noisy data from legacy systems and heterogeneous devices. Ensuring accurate, consistent data for reliable predictions is a significant hurdle.
Cybersecurity Vulnerabilities: As predictive systems increasingly rely on networked sensors and cloud infrastructure, they expose operations to cyber risks. Protecting data integrity and privacy is essential—and costly.
Skilled Workforce Shortage: Effective PdM deployment demands expertise in data science, ML, and industrial systems—skills that are often lacking, and training or hiring new specialists adds complexity and cost.
Scalability & Interoperability Barriers: Scaling pilot systems across diverse machines and sites often encounters issues like vendor-specific formats, lack of standard protocols, and maintenance of consistency across equipment types.
Cultural Resistance to Change: Some manufacturers remain cautious about adopting ML-based maintenance tools due to trust issues, fear of job displacement, or preference for traditional methods.
This report aims to provide a comprehensive presentation of the global market for Predictive Maintenance In Manufacturing, 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 In Manufacturing.
The Predictive Maintenance In Manufacturing 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 In Manufacturing 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 In Manufacturing 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 In Manufacturing 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.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
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We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Predictive Maintenance In Manufacturing 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 In Manufacturing Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Automotive
1.3.3 Electronics and Semiconductor
1.3.4 Consumer Goods
1.3.5 Chemical
1.3.6 Pharmaceutical
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 In Manufacturing Market Perspective (2020-2031)
2.2 Global Predictive Maintenance In Manufacturing Growth Trends by Region
2.2.1 Global Predictive Maintenance In Manufacturing Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 Predictive Maintenance In Manufacturing Historic Market Size by Region (2020-2025)
2.2.3 Predictive Maintenance In Manufacturing Forecasted Market Size by Region (2026-2031)
2.3 Predictive Maintenance In Manufacturing Market Dynamics
2.3.1 Predictive Maintenance In Manufacturing Industry Trends
2.3.2 Predictive Maintenance In Manufacturing Market Drivers
2.3.3 Predictive Maintenance In Manufacturing Market Challenges
2.3.4 Predictive Maintenance In Manufacturing Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Predictive Maintenance In Manufacturing Players by Revenue
3.1.1 Global Top Predictive Maintenance In Manufacturing Players by Revenue (2020-2025)
3.1.2 Global Predictive Maintenance In Manufacturing Revenue Market Share by Players (2020-2025)
3.2 Global Top Predictive Maintenance In Manufacturing 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 In Manufacturing Revenue
3.4 Global Predictive Maintenance In Manufacturing Market Concentration Ratio
3.4.1 Global Predictive Maintenance In Manufacturing Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Predictive Maintenance In Manufacturing Revenue in 2024
3.5 Global Key Players of Predictive Maintenance In Manufacturing Head office and Area Served
3.6 Global Key Players of Predictive Maintenance In Manufacturing, Product and Application
3.7 Global Key Players of Predictive Maintenance In Manufacturing, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Predictive Maintenance In Manufacturing Breakdown Data by Type
4.1 Global Predictive Maintenance In Manufacturing Historic Market Size by Type (2020-2025)
4.2 Global Predictive Maintenance In Manufacturing Forecasted Market Size by Type (2026-2031)
5 Predictive Maintenance In Manufacturing Breakdown Data by Application
5.1 Global Predictive Maintenance In Manufacturing Historic Market Size by Application (2020-2025)
5.2 Global Predictive Maintenance In Manufacturing Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America Predictive Maintenance In Manufacturing Market Size (2020-2031)
6.2 North America Predictive Maintenance In Manufacturing Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Predictive Maintenance In Manufacturing Market Size by Country (2020-2025)
6.4 North America Predictive Maintenance In Manufacturing Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Predictive Maintenance In Manufacturing Market Size (2020-2031)
7.2 Europe Predictive Maintenance In Manufacturing Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Predictive Maintenance In Manufacturing Market Size by Country (2020-2025)
7.4 Europe Predictive Maintenance In Manufacturing 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 In Manufacturing Market Size (2020-2031)
8.2 Asia-Pacific Predictive Maintenance In Manufacturing Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Predictive Maintenance In Manufacturing Market Size by Region (2020-2025)
8.4 Asia-Pacific Predictive Maintenance In Manufacturing 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 In Manufacturing Market Size (2020-2031)
9.2 Latin America Predictive Maintenance In Manufacturing Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Predictive Maintenance In Manufacturing Market Size by Country (2020-2025)
9.4 Latin America Predictive Maintenance In Manufacturing Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Predictive Maintenance In Manufacturing Market Size (2020-2031)
10.2 Middle East & Africa Predictive Maintenance In Manufacturing Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Predictive Maintenance In Manufacturing Market Size by Country (2020-2025)
10.4 Middle East & Africa Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.1.4 IBM Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.2.4 Microsoft Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.3.4 SAP Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.4.4 GE Digital Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.5.4 Schneider Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.6.4 Hitachi Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.7.4 Siemens Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.8.4 Intel Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.9.4 RapidMiner Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.10.4 Rockwell Automation Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.11.4 Software AG Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.12.4 Cisco Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.13.4 Oracle Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.14.4 Fujitsu Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.15.4 Dassault Systemes Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.16.4 Augury Systems Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.17.4 TIBCO Software Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.18.4 Uptake Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.19.4 Honeywell Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.20.4 PTC Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.21.4 Huawei Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.22.4 ABB Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.23.4 AVEVA Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.24.4 SAS Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.25.4 SKF Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.26.4 Emerson Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.27.4 Mpulse Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.28.4 Maintenance Connection Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.29.4 Dingo Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.30.4 Particle Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.31.4 Bosch Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.32.4 C3.ai Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.33.4 Dell Revenue in Predictive Maintenance In Manufacturing 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 In Manufacturing Introduction
11.34.4 Sigma Industrial Precision Revenue in Predictive Maintenance In Manufacturing 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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