자산 성능 관리(APM) : 시장 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the asset performance management market size is expected to grow from USD 19.67 billion in 2025 to USD 22.34 billion in 2026 and is forecast to reach USD 42.26 billion by 2031 at 13.59% CAGR over 2026-2031.

This report is Segmented by Component (Software, Services), Type (Predictive Asset Management, Asset Reliability Management, Asset Strategy Management, Prescriptive Asset Management), Deployment Model (On-Premise, Public Cloud, Private Cloud, Hybrid), End-User Enterprise Size (Large Enterprises, Smes), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Asset Performance Management (APM) Market Trends and Insights

Growing Industry 4.0-linked APM adoption

Enterprises integrate APM within broader Industry 4.0 architectures to synchronize predictive maintenance with real-time production analytics. Automotive plants in Germany trimmed unplanned downtime by 25% after connecting APM and MES platforms. Japanese electronics factories recorded a 15% upturn in overall equipment effectiveness from similar convergence. Falling IIoT sensor prices and maturing edge compute hardware accelerate rollouts, while ISO 55000 guidelines reinforce disciplined asset-lifecycle governance across global supply chains. Vendors now bundle APM with quality management and supply-chain visibility modules, allowing management teams to optimize throughput and asset health in a single pane.

Surge in demand for predictive maintenance

Predictive maintenance transitioned from a cost-cutting tactic to a critical reliability strategy. Energy majors applying AI-based models achieved 40% downtime elimination and 30% maintenance cost savings. One oil supermajor saved USD 10 million annually after hitting 75% failure-prediction accuracy nine days ahead of incidents. The United States predictive maintenance segment is forecast to rise from USD 3.6 billion in 2024 to USD 15.2 billion by 2029 at a 32.8% CAGR. Vibration analytics dominates mechanical asset monitoring, while machine-learning algorithms refine anomaly detection across compressors, turbines, and rolling stock.

Data-security and privacy risks

Connecting operational technology to enterprise networks exposes critical assets to cyberattacks. The expected USD 36.6 billion IoT cybersecurity market illustrates rising spend to mitigate this threat. Manufacturers fear loss of proprietary process data and potential production shutdowns. Regulatory gaps complicate cross-border data flows, especially in the energy and chemical sectors that intersect national security. Hybrid deployments with edge-first processing and cloud burst capacity offer a compromise, reducing cloud exposure while retaining advanced analytics. Vendors incorporate zero-trust frameworks and encryption-at-rest mandates to retain customer confidence.

Other drivers and restraints analyzed in the detailed report include:

1. Cloud-native APM uptake by SMEs
2. AI-enabled physics-based digital twins
3. High integration cost with legacy OT

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Software applications accounted for 58.64% of the Asset Performance Management market in 2025, reflecting enterprise demand for integrated analytics rather than isolated monitoring tools. Services registered the swiftest 14.97% CAGR because companies need data-science expertise, change-management support, and continuous optimization to unlock full platform value. Historical investment patterns show an accelerating shift toward SaaS delivery that reduces deployment time and ongoing support overhead.

Professional services cover data pipeline construction, algorithm tuning, and ISO 55000 documentation, while managed services handle 24/7 analytics and system health checks. Vendor success hinges on packaged accelerators that lower integration hurdles and predefined AI models that speed value realization. As clients scale from pilot to enterprise rollout, recurring service revenue stabilizes earnings for vendors and ensures continuous improvement for customers.

Predictive asset management retained a 59.85% share of the Asset Performance Management market in 2025, yet prescriptive analytics is on course for a 18.63% CAGR through 2031. Predictive models flag impending failures, whereas prescriptive engines recommend specific operational or maintenance actions, creating higher business impact.

Oil and gas operators using prescriptive algorithms extended engine overhaul cycles by 20% and cut maintenance budgets by 25%, translating to three-month paybacks. Asset strategy management modules integrate cost, risk, and performance variables, guiding capital replacement decisions that balance short-term OPEX and long-term CAPEX. Regulatory bodies in hazardous-process industries increasingly view prescriptive maintenance as best practice for preventing safety incidents, embedding it into audit protocols.

Complete Report Scope:

• By Component
  • Software
  • Services
• By Type
  • Predictive Asset Management
  • Asset Reliability Management
  • Asset Strategy Management
  • Prescriptive Asset Management
• By Deployment Model
  • On-premises
  • Public cloud
  • Private cloud
  • Hybrid
• By End-user Enterprise Size
  • Large Enterprises
  • SMEs
• By End-user Vertical
  • Oil and Gas
  • Metals and Mining
  • Manufacturing
  • Energy and Utilities
  • Transportation and Logistics
  • Government and Public Sector
  • Chemicals and Pharmaceuticals
  • Other Verticals
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • United Kingdom
    • France
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Rest of Middle East
    • Africa
      • South Africa
      • Egypt
      • Rest of Africa
  • South America
    • Brazil
    • Argentina
    • Rest of South America

Geography Analysis

North America commanded 32.58% of the Asset Performance Management market in 2025, buoyed by mature infrastructure, strict OSHA and EPA mandates, and deep collaboration between industrial operators and software leaders. U.S. predictive maintenance spending alone is projected to quadruple by 2029, reinforcing the region's innovation leadership. Canadian utilities scale AI-based APM to extend equipment lifespans and postpone costly capital projects, contributing additional momentum.

Asia-Pacific posts the fastest 13.74% CAGR as governments promote Industry 4.0 roadmaps and manufacturers modernize to stay competitive. China's process industries deploy digital twins for energy efficiency, while Japan's aging asset base triggers predictive maintenance investments to maintain uptime without extensive capital outlays. India's Asset Performance Management market should climb from USD 66.7 million in 2022 to USD 213 million by 2032 as public-sector steel and rail operators digitize maintenance. Cross-border alliances like AssetWatch-Mitsui speed technology transfer and localization.

Europe advances steadily on the back of stringent ESG frameworks and advanced engineering sectors. Automotive and chemical plants integrate APM with carbon-tracking dashboards to align asset reliability with emissions goals. The forthcoming Corporate Sustainability Reporting Directive encourages enterprises to document maintenance-linked energy savings, spurring demand for platforms that merge performance analytics with sustainability metrics. Uptake in Central and Eastern Europe accelerates as multinationals retrofit acquired plants with standardized digital maintenance stacks.

1. ABB Ltd.
2. AVEVA Group plc
3. International Business Machines Corporation
4. SAP SE
5. General Electric Company (GE Digital)
6. Aspen Technology, Inc.
7. DNV AS
8. Siemens AG
9. ABS Group of Companies, Inc.
10. Uptake Technologies, Inc.
11. SAS Institute Inc.
12. Emerson Electric Co.
13. Honeywell International Inc.
14. Schneider Electric SE
15. Rockwell Automation, Inc.
16. Bentley Systems, Incorporated
17. Oracle Corporation
18. Hexagon AB
19. Yokogawa Electric Corporation
20. IFS AB
21. Hitachi, Ltd. (Hitachi Energy)
22. PTC Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Growing Industry 4.0-linked APM adoption
  • 4.2.2 Surge in demand for predictive maintenance
  • 4.2.3 Cloud-native APM uptake by SMEs
  • 4.2.4 AI-enabled physics-based digital twins
  • 4.2.5 ESG-driven asset-health investments
  • 4.2.6 Insurance incentives for real-time analytics
• 4.3 Market Restraints
  • 4.3.1 Data-security and privacy risks
  • 4.3.2 High integration cost with legacy OT
  • 4.3.3 Scarcity of asset-data scientists
  • 4.3.4 AI-liability regulatory ambiguity
• 4.4 Value / Supply-Chain Analysis
• 4.5 Technological Outlook
• 4.6 Regulatory Landscape
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Threat of New Entrants
  • 4.7.2 Bargaining Power of Buyers
  • 4.7.3 Bargaining Power of Suppliers
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Software
  • 5.1.2 Services
• 5.2 By Type
  • 5.2.1 Predictive Asset Management
  • 5.2.2 Asset Reliability Management
  • 5.2.3 Asset Strategy Management
  • 5.2.4 Prescriptive Asset Management
• 5.3 By Deployment Model
  • 5.3.1 On-premises
  • 5.3.2 Public cloud
  • 5.3.3 Private cloud
  • 5.3.4 Hybrid
• 5.4 By End-user Enterprise Size
  • 5.4.1 Large Enterprises
  • 5.4.2 SMEs
• 5.5 By End-user Vertical
  • 5.5.1 Oil and Gas
  • 5.5.2 Metals and Mining
  • 5.5.3 Manufacturing
  • 5.5.4 Energy and Utilities
  • 5.5.5 Transportation and Logistics
  • 5.5.6 Government and Public Sector
  • 5.5.7 Chemicals and Pharmaceuticals
  • 5.5.8 Other Verticals
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 Europe
    • 5.6.2.1 Germany
    • 5.6.2.2 United Kingdom
    • 5.6.2.3 France
    • 5.6.2.4 Russia
    • 5.6.2.5 Rest of Europe
  • 5.6.3 Asia-Pacific
    • 5.6.3.1 China
    • 5.6.3.2 Japan
    • 5.6.3.3 India
    • 5.6.3.4 South Korea
    • 5.6.3.5 Australia
    • 5.6.3.6 Rest of Asia-Pacific
  • 5.6.4 Middle East and Africa
    • 5.6.4.1 Middle East
      • 5.6.4.1.1 Saudi Arabia
      • 5.6.4.1.2 United Arab Emirates
      • 5.6.4.1.3 Rest of Middle East
    • 5.6.4.2 Africa
      • 5.6.4.2.1 South Africa
      • 5.6.4.2.2 Egypt
      • 5.6.4.2.3 Rest of Africa
  • 5.6.5 South America
    • 5.6.5.1 Brazil
    • 5.6.5.2 Argentina
    • 5.6.5.3 Rest of South America

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
  • 6.4.1 ABB Ltd.
  • 6.4.2 AVEVA Group plc
  • 6.4.3 International Business Machines Corporation
  • 6.4.4 SAP SE
  • 6.4.5 General Electric Company (GE Digital)
  • 6.4.6 Aspen Technology, Inc.
  • 6.4.7 DNV AS
  • 6.4.8 Siemens AG
  • 6.4.9 ABS Group of Companies, Inc.
  • 6.4.10 Uptake Technologies, Inc.
  • 6.4.11 SAS Institute Inc.
  • 6.4.12 Emerson Electric Co.
  • 6.4.13 Honeywell International Inc.
  • 6.4.14 Schneider Electric SE
  • 6.4.15 Rockwell Automation, Inc.
  • 6.4.16 Bentley Systems, Incorporated
  • 6.4.17 Oracle Corporation
  • 6.4.18 Hexagon AB
  • 6.4.19 Yokogawa Electric Corporation
  • 6.4.20 IFS AB
  • 6.4.21 Hitachi, Ltd. (Hitachi Energy)
  • 6.4.22 PTC Inc.

7 MARKET OPPORTUNITIES AND FUTURE TRENDS

• 7.1 White-space & Unmet-need Assessment