
North America Predictive Maintenance Market Size, Share & Industry Analysis Report By Component (Hardware and Software (Integrated and Standalone)), By Deployment, By Enterprise Size, Based on Technology, By End-use, By Application, By Country and Growth
Description
The North America Predictive Maintenance Market would witness market growth of 28.3% CAGR during the forecast period (2025-2032).
The US market dominated the North America Predictive Maintenance Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $23,096.6 million by 2032. The Canada market is experiencing a CAGR of 30.9% during (2025 - 2032). Additionally, The Mexico market would exhibit a CAGR of 30.2% during (2025 - 2032).
The adoption of predictive maintenance solutions is increasing across industries due to the growing emphasis on cost reduction, efficiency improvement, and safety enhancements. The proliferation of IoT-enabled sensors and connected devices has accelerated the adoption of predictive maintenance solutions. These technologies enable real-time monitoring and predictive analytics, making maintenance more efficient and cost-effective.
Moreover, the rise of cloud computing has made predictive maintenance more accessible. Cloud-based platforms allow companies to collect, process, and analyze data remotely, providing real-time insights and reducing infrastructure costs. Industries such as aerospace, healthcare, and oil & gas have stringent regulatory requirements for equipment maintenance and safety. Predictive maintenance helps organizations comply with these standards while reducing risks associated with equipment failures.
The Canadian government's substantial investment in healthcare infrastructure drives the adoption of advanced medical technologies, AI-driven diagnostics, and automated hospital systems. Predictive maintenance solutions are essential for ensuring the continuous operation of critical medical equipment, such as MRI machines, CT scanners, and robotic surgical systems, minimizing unexpected failures. The increasing funding is accelerating the transformation of hospitals into smart healthcare facilities equipped with IoT-enabled medical devices. Predictive maintenance technologies analyze real-time data from medical equipment, allowing hospitals to anticipate maintenance needs, reduce repair costs, and improve patient care efficiency.
Based on Component, the market is segmented into Hardware and Software (Integrated and Standalone). Based on Deployment, the market is segmented into On-premises and Cloud. Based on Enterprise Size, the market is segmented into Large Enterprises and Small & Medium-sized Enterprises (SMEs). Based on Technology, the market is segmented into IoT, Artificial Intelligence & Machine Learning, Advanced Analytics, Digital Twin, and Other Technology. Based on End-use, the market is segmented into Manufacturing, Energy & Utilities, Logistics & Transportation, IT & Telecom, Military & Defense, and Other End-use. Based on Application, the market is segmented into Condition Monitoring, Predictive Analytics, Remote Monitoring, Asset Tracking, and Maintenance Scheduling. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
List of Key Companies Profiled
By Component
Standalone
By Deployment
The US market dominated the North America Predictive Maintenance Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $23,096.6 million by 2032. The Canada market is experiencing a CAGR of 30.9% during (2025 - 2032). Additionally, The Mexico market would exhibit a CAGR of 30.2% during (2025 - 2032).
The adoption of predictive maintenance solutions is increasing across industries due to the growing emphasis on cost reduction, efficiency improvement, and safety enhancements. The proliferation of IoT-enabled sensors and connected devices has accelerated the adoption of predictive maintenance solutions. These technologies enable real-time monitoring and predictive analytics, making maintenance more efficient and cost-effective.
Moreover, the rise of cloud computing has made predictive maintenance more accessible. Cloud-based platforms allow companies to collect, process, and analyze data remotely, providing real-time insights and reducing infrastructure costs. Industries such as aerospace, healthcare, and oil & gas have stringent regulatory requirements for equipment maintenance and safety. Predictive maintenance helps organizations comply with these standards while reducing risks associated with equipment failures.
The Canadian government's substantial investment in healthcare infrastructure drives the adoption of advanced medical technologies, AI-driven diagnostics, and automated hospital systems. Predictive maintenance solutions are essential for ensuring the continuous operation of critical medical equipment, such as MRI machines, CT scanners, and robotic surgical systems, minimizing unexpected failures. The increasing funding is accelerating the transformation of hospitals into smart healthcare facilities equipped with IoT-enabled medical devices. Predictive maintenance technologies analyze real-time data from medical equipment, allowing hospitals to anticipate maintenance needs, reduce repair costs, and improve patient care efficiency.
Based on Component, the market is segmented into Hardware and Software (Integrated and Standalone). Based on Deployment, the market is segmented into On-premises and Cloud. Based on Enterprise Size, the market is segmented into Large Enterprises and Small & Medium-sized Enterprises (SMEs). Based on Technology, the market is segmented into IoT, Artificial Intelligence & Machine Learning, Advanced Analytics, Digital Twin, and Other Technology. Based on End-use, the market is segmented into Manufacturing, Energy & Utilities, Logistics & Transportation, IT & Telecom, Military & Defense, and Other End-use. Based on Application, the market is segmented into Condition Monitoring, Predictive Analytics, Remote Monitoring, Asset Tracking, and Maintenance Scheduling. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
List of Key Companies Profiled
- IBM Corporation
- Microsoft Corporation
- Honeywell International, Inc.
- Siemens AG
- GE Vernova Group
- SAP SE
- PTC Inc.
- Schneider Electric SE
- ABB Ltd.
- Rockwell Automation, Inc.
By Component
- Hardware
- Software
Standalone
By Deployment
- On-premises
- Cloud
- Large Enterprises
- Small & Medium-sized Enterprises (SMEs)
- IoT
- Artificial Intelligence & Machine Learning
- Advanced Analytics
- Digital Twin
- Other Technology
- Manufacturing
- Energy & Utilities
- Logistics & Transportation
- IT & Telecom
- Military & Defense
- Other End-use
- Condition Monitoring
- Predictive Analytics
- Remote Monitoring
- Asset Tracking
- Maintenance Scheduling
- US
- Canada
- Mexico
- Rest of North America
Table of Contents
163 Pages
- Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 North America Predictive Maintenance Market, by Component
- 1.4.2 North America Predictive Maintenance Market, by Deployment
- 1.4.3 North America Predictive Maintenance Market, by Enterprise Size
- 1.4.4 North America Predictive Maintenance Market, by Technology
- 1.4.5 North America Predictive Maintenance Market, by End-use
- 1.4.6 North America Predictive Maintenance Market, by Application
- 1.4.7 North America Predictive Maintenance Market, by Country
- 1.5 Methodology for the research
- Chapter 2. Market at a Glance
- 2.1 Key Highlights
- Chapter 3. Market Overview
- 3.1 Introduction
- 3.1.1 Overview
- 3.1.1.1 Market Composition and Scenario
- 3.2 Key Factors Impacting the Market
- 3.2.1 Market Drivers
- 3.2.2 Market Restraints
- 3.2.3 Market Opportunities
- 3.2.4 Market Challenges
- Chapter 4. Competition Analysis – Global
- 4.1 Market Share Analysis, 2024
- 4.2 Strategies Deployed in Predictive Maintenance Market
- 4.3 Porter Five Forces Analysis
- Chapter 5. North America Predictive Maintenance Market by Component
- 5.1 North America Hardware Market by Region
- 5.2 North America Software Market by Region
- 5.3 North America Predictive Maintenance Market by Software Type
- 5.3.1 North America Integrated Market by Country
- 5.3.2 North America Standalone Market by Country
- Chapter 6. North America Predictive Maintenance Market by Deployment
- 6.1 North America On-premises Market by Region
- 6.2 North America Cloud Market by Region
- Chapter 7. North America Predictive Maintenance Market by Enterprise Size
- 7.1 North America Large Enterprises Market by Country
- 7.2 North America Small & Medium-sized Enterprises (SMEs) Market by Country
- Chapter 8. North America Predictive Maintenance Market by Technology
- 8.1 North America IoT Market by Country
- 8.2 North America Artificial Intelligence & Machine Learning Market by Country
- 8.3 North America Advanced Analytics Market by Country
- 8.4 North America Digital Twin Market by Country
- 8.5 North America Other Technology Market by Country
- Chapter 9. North America Predictive Maintenance Market by End-use
- 9.1 North America Manufacturing Market by Country
- 9.2 North America Energy & Utilities Market by Country
- 9.3 North America Logistics & Transportation Market by Country
- 9.4 North America IT & Telecom Market by Country
- 9.5 North America Military & Defense Market by Country
- 9.6 North America Other End-use Market by Country
- Chapter 10. North America Predictive Maintenance Market by Application
- 10.1 North America Condition Monitoring Market by Country
- 10.2 North America Predictive Analytics Market by Country
- 10.3 North America Remote Monitoring Market by Country
- 10.4 North America Asset Tracking Market by Country
- 10.5 North America Maintenance Scheduling Market by Country
- Chapter 11. North America Predictive Maintenance Market by Country
- 11.1 US Predictive Maintenance Market
- 11.1.1 US Predictive Maintenance Market by Component
- 11.1.1.1 US Predictive Maintenance Market by Software Type
- 11.1.2 US Predictive Maintenance Market by Deployment
- 11.1.3 US Predictive Maintenance Market by Enterprise Size
- 11.1.4 US Predictive Maintenance Market by Technology
- 11.1.5 US Predictive Maintenance Market by End-use
- 11.1.6 US Predictive Maintenance Market by Application
- 11.2 Canada Predictive Maintenance Market
- 11.2.1 Canada Predictive Maintenance Market by Component
- 11.2.1.1 Canada Predictive Maintenance Market by Software Type
- 11.2.2 Canada Predictive Maintenance Market by Deployment
- 11.2.3 Canada Predictive Maintenance Market by Enterprise Size
- 11.2.4 Canada Predictive Maintenance Market by Technology
- 11.2.5 Canada Predictive Maintenance Market by End-use
- 11.2.6 Canada Predictive Maintenance Market by Application
- 11.3 Mexico Predictive Maintenance Market
- 11.3.1 Mexico Predictive Maintenance Market by Component
- 11.3.1.1 Mexico Predictive Maintenance Market by Software Type
- 11.3.2 Mexico Predictive Maintenance Market by Deployment
- 11.3.3 Mexico Predictive Maintenance Market by Enterprise Size
- 11.3.4 Mexico Predictive Maintenance Market by Technology
- 11.3.5 Mexico Predictive Maintenance Market by End-use
- 11.3.6 Mexico Predictive Maintenance Market by Application
- 11.4 Rest of North America Predictive Maintenance Market
- 11.4.1 Rest of North America Predictive Maintenance Market by Component
- 11.4.1.1 Rest of North America Predictive Maintenance Market by Software Type
- 11.4.2 Rest of North America Predictive Maintenance Market by Deployment
- 11.4.3 Rest of North America Predictive Maintenance Market by Enterprise Size
- 11.4.4 Rest of North America Predictive Maintenance Market by Technology
- 11.4.5 Rest of North America Predictive Maintenance Market by End-use
- 11.4.6 Rest of North America Predictive Maintenance Market by Application
- Chapter 12. Company Profiles
- 12.1 IBM Corporation
- 12.1.1 Company Overview
- 12.1.2 Financial Analysis
- 12.1.3 Regional & Segmental Analysis
- 12.1.4 Research & Development Expenses
- 12.1.5 Recent strategies and developments:
- 12.1.5.1 Product Launches and Product Expansions:
- 12.1.5.2 Acquisition and Mergers:
- 12.1.6 SWOT Analysis
- 12.2 Microsoft Corporation
- 12.2.1 Company Overview
- 12.2.2 Financial Analysis
- 12.2.3 Segmental and Regional Analysis
- 12.2.4 Research & Development Expenses
- 12.2.5 Recent strategies and developments:
- 12.2.5.1 Partnerships, Collaborations, and Agreements:
- 12.2.6 SWOT Analysis
- 12.3 Honeywell International, Inc.
- 12.3.1 Company Overview
- 12.3.2 Financial Analysis
- 12.3.3 Segmental and Regional Analysis
- 12.3.4 Research & Development Expenses
- 12.3.5 Recent strategies and developments:
- 12.3.5.1 Partnerships, Collaborations, and Agreements:
- 12.3.5.2 Product Launches and Product Expansions:
- 12.3.6 SWOT Analysis
- 12.4 Siemens AG
- 12.4.1 Company Overview
- 12.4.2 Financial Analysis
- 12.4.3 Segmental and Regional Analysis
- 12.4.4 Research & Development Expense
- 12.4.5 Recent strategies and developments:
- 12.4.5.1 Acquisition and Mergers:
- 12.4.6 SWOT Analysis
- 12.5 GE Vernova Group
- 12.5.1 Company Overview
- 12.5.2 Financial Analysis
- 12.5.3 Segmental and Regional Analysis
- 12.5.4 Research & Development Expenses
- 12.5.5 SWOT Analysis
- 12.6 SAP SE
- 12.6.1 Company Overview
- 12.6.2 Financial Analysis
- 12.6.3 Regional Analysis
- 12.6.4 Research & Development Expense
- 12.6.5 SWOT Analysis
- 12.7 PTC, Inc.
- 12.7.1 Company Overview
- 12.7.2 Financial Analysis
- 12.7.3 Regional Analysis
- 12.7.4 Research & Development Expenses
- 12.7.5 SWOT Analysis
- 12.8 Schneider Electric SE
- 12.8.1 Company Overview
- 12.8.2 Financial Analysis
- 12.8.3 Segmental and Regional Analysis
- 12.8.4 Research & Development Expense
- 12.8.5 Recent strategies and developments:
- 12.8.5.1 Partnerships, Collaborations, and Agreements:
- 12.8.6 SWOT Analysis
- 12.9 ABB Ltd.
- 12.9.1 Company Overview
- 12.9.2 Financial Analysis
- 12.9.3 Segmental and Regional Analysis
- 12.9.4 Research & Development Expense
- 12.9.5 SWOT Analysis
- 12.10. Rockwell Automation, Inc.
- 12.10.1 Company Overview
- 12.10.2 Financial Analysis
- 12.10.3 Segmental and Regional Analysis
- 12.10.4 Research & Development Expenses
- 12.10.5 SWOT Analysis
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