자산 퍼포먼스 관리 시장 : 컴포넌트, 모듈, 자산 유형, 배포 유형, 조직 규모, 업종별 - 세계 예측(2025-2030년)

The Asset Performance Management Market was valued at USD 4.85 billion in 2023 and is projected to grow to USD 5.32 billion in 2024, with a CAGR of 10.35%, reaching USD 9.67 billion by 2030.

In today's dynamic market environment, asset performance management has emerged as a pivotal practice for organizations aiming to optimize operational efficiency and extend asset life cycles. Organizations across various industries are more focused than ever on ensuring the reliability, safety, and sustainability of their operational assets. This report provides a comprehensive overview of the current state of the market, where rapid technological advancements, heightened regulatory pressures, and increased operational demands are spurring significant innovations. As a result, companies are not only re-evaluating their traditional asset management strategies but also embracing new solutions that harness data-driven insights and advanced analytics. The evolving landscape presents both challenges and opportunities for stakeholders, necessitating agile decision-making and an unwavering commitment to continuous improvement. Through rigorous research and detailed analysis, this overview sets the stage for a deeper examination of the market dynamics that are shaping the future of asset performance management.

Transformative Shifts Reshaping the Asset Performance Management Landscape

Recent years have witnessed transformative shifts that are fundamentally redefining asset performance management. Rapid digital transformation is at the forefront, as organizations increasingly rely on real-time data collection, advanced analytics, and predictive maintenance to drive efficiency and reduce downtime. The integration of cutting-edge technologies such as the Internet of Things (IoT), artificial intelligence (AI), and machine learning has enabled companies to transition from reactive to proactive maintenance strategies. This shift is complemented by the convergence of IT and operational technology (OT), which is facilitating more seamless integration of processes and data flows across the enterprise. Moreover, regulatory changes and the imperative to reduce environmental impact have further accelerated the need for resilient and sustainable asset management practices. These shifts demand that industry players take a holistic approach to asset performance, ensuring that technology, process, and people align to deliver best-in-class solutions that enhance both operational reliability and long-term asset integrity.

Deep-Dive Analysis on Market Segmentation Insights

The market is comprehensively segmented across several dimensions, each revealing critical insights into the diverse needs and opportunities within asset performance management. A detailed evaluation based on the component covers both services and solutions. The service category is intricately divided into managed services and professional services, where managed services focus on ongoing monitoring and maintenance, while professional services typically address specialized consulting and implementation needs. On the solutions side, the domain is further segmented into asset integrity management, asset reliability management, asset strategy management, condition monitoring, and predictive asset management. In parallel, segmentation by module provides an additional layer of granularity, focusing on asset health, asset reliability, and overall asset strategy, reflecting the multifaceted approach necessary to optimize asset performance.

Additional segmentation by asset type distinguishes fixed assets from infrastructure, mobile, and production assets, each presenting unique operational challenges and avenues for innovation. The deployment type segmentation, which contrasts cloud-based implementations with on-premises solutions, further underscores the strategic decisions organizations face regarding scalability, security, and cost efficiency. Understanding the size of organizations is also critical; segmented into large enterprises and small to medium-sized enterprises, the variations in resources and strategic priorities become evident. Lastly, a detailed examination of verticals highlights sectors including chemicals and petrochemicals, energy and utilities, food and beverages, government and defence, healthcare and pharmaceuticals, manufacturing, oil and gas, and telecommunications. In manufacturing, scrutiny extends to discrete, heavy, and process manufacturing, while oil and gas segmentation is finely parsed into downstream, midstream, and upstream operations, and telecommunications further breaks down into data centers, network infrastructure, and transmission networks. The depth and breadth of these segmentation insights allow organizations to precisely calibrate offerings and strategies, ensuring tailored approaches that address the intricacies of each market segment.

Based on Component, market is studied across Services and Solutions. The Services is further studied across Managed Services and Professional Services. The Solutions is further studied across Asset Integrity Management, Asset Reliability Management, Asset Strategy Management, Condition Monitoring, and Predictive Asset Management.

Based on Module, market is studied across Asset Health, Asset Reliability, and Asset Strategy.

Based on Asset Type, market is studied across Fixed Assets, Infrastructure Assets, Mobile Assets, and Production Assets.

Based on Deployment Type, market is studied across Cloud and On-premises.

Based on Organization Size, market is studied across Large Enterprises and Small & Medium-sized Enterprises.

Based on Vertical, market is studied across Chemicals & Petrochemicals, Energy & Utilities, Food & Beverages, Government & Defence, Healthcare & Pharmaceuticals, Manufacturing, Oil & Gas, and Telecommunications. The Manufacturing is further studied across Discrete Manufacturing, Heavy Manufacturing, and Process Manufacturing. The Oil & Gas is further studied across Downstream, Midstream, and Upstream. The Telecommunications is further studied across Data Centers, Network Infrastructure, and Transmission Networks.

Comprehensive Insights on Global Regional Trends

A closer examination of the regional landscape reveals nuanced trends across key global areas. The Americas continue to exhibit robust market activity, underpinned by strong technological adoption and regulatory frameworks that promote both innovation and reliability. In Europe, the Middle East, and Africa, there is a pronounced emphasis on digital transformation initiatives that seek to modernize traditional asset management practices, while also addressing unique regional challenges such as regulatory disparities and evolving energy demands. Meanwhile, the Asia-Pacific region is experiencing rapid growth, driven by significant investments in infrastructure, a rising focus on industrial automation, and an ever-increasing demand for sustainable and efficient asset management solutions. These regional insights not only highlight the diversity of market dynamics but also emphasize the need for a localized approach that appreciates the socio-economic, technological, and regulatory contexts in different parts of the world.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Key Industry Players Shaping the Market Dynamics

The competitive landscape of asset performance management is defined by the strategic actions of several leading companies. Global giants such as AB SKF, ABB Ltd., Accenture PLC, and Bentley Systems are continuously advancing their offerings to address evolving market demands. Players like Dassault Systemes SE, DNV Group AS, Emerson Electric Co., and Fortive Corporation have made significant strides in integrating sophisticated digital technologies into their asset management solutions. Companies including GE Vernova Inc., Gray Matter Systems, Hexagon AB, and Hitachi, Ltd. are driving innovation by leveraging real-time analytics and next-generation monitoring systems. The landscape also features specialized firms such as Honeywell International Inc., IFS AB, Infor, and Innovapptive Inc., alongside technology powerhouses like International Business Machines Corporation, IPS Intelligent Process Solutions GmbH, and Kongsberg Digital. Moreover, software-driven organizations such as ManWinWin Software, Mitsubishi Electric Corporation, Nexus Global Business Solutions, Inc., Oracle Corporation, and Pragma Group are redefining how data and analytics are implemented in real-world scenarios. Trailblazers like Rockwell Automation, Inc., SAP SE, Schneider Electric SE, Siemens AG, Tata Consultancy Services, and Yokogawa Electric Corporation further exemplify the competitive spirit, each contributing unique strengths ranging from end-to-end system integration to tailored asset management services. This dynamic mix of established industry stalwarts and innovative disruptors is fostering a competitive environment that not only pushes the boundaries of technology but also creates new benchmarks for operational excellence.

The report delves into recent significant developments in the Asset Performance Management Market, highlighting leading vendors and their innovative profiles. These include AB SKF, ABB Ltd., Accenture PLC, Bentley Systems, Incorporated, Dassault Systemes SE, DNV Group AS, EAMbrace by Gaurik Solutions, Inc., Emerson Electric Co., Fortive Corporation, GE Vernova Inc., Gray Matter Systems, Hexagon AB, Hitachi, Ltd., Honeywell International Inc., IFS AB, Infor, Innovapptive Inc., International Business Machines Corporation, IPS Intelligent Process Solutions GmbH, Kongsberg Digital, ManWinWin Software, Mitsubishi Electric Corporation, Nexus Global Business Solutions, Inc., Oracle Corporation, Pragma Group, Rockwell Automation, Inc., SAP SE, Schneider Electric SE, Siemens AG, Tata Consultancy Services, and Yokogawa Electric Corporation. Actionable Recommendations for Strategic Industry Leaders

For industry leaders seeking to gain and sustain a competitive advantage, the report offers a series of actionable recommendations. First and foremost, investing in integrated digital technologies such as IoT, AI, and machine learning is critical for transitioning from traditional maintenance models to predictive and proactive strategies. Leaders should look to harness the power of advanced analytics to not only optimize asset performance but also identify potential risks before they evolve into significant issues.

Additionally, organizations must prioritize interoperability between IT and operational technologies to ensure seamless data flow and better decision-making frameworks. Aligning organizational structures with emerging digital paradigms, including upskilling the workforce and fostering a culture of continuous improvement, is indispensable in today's fast-paced environment. Another key recommendation is to adopt a flexible deployment strategy. Embracing both cloud-based and on-premises solutions can help balance scalability, security concerns, and cost efficiencies, thereby providing a robust framework that is resilient to market fluctuations and technological disruptions.

Finally, a tailored approach to market segmentation is essential. By leveraging insights from diverse segments - be it based on component, module, asset type, deployment, organization size, or vertical - decision-makers can develop highly customized strategies that target specific market needs. Such focused approaches will enable industry leaders to design solutions that are not only innovative and cost-effective but also scalable and adaptable to ever-changing market dynamics. The recommendations provided herein are intended to act as a roadmap for organizations aiming to navigate uncertainties while capitalizing on emerging trends in asset performance management.

Conclusion: Summarizing Insights and Future Directions

The thorough analysis presented provides a detailed overview of the asset performance management market, underscoring the importance of integrating digital advancements into traditional maintenance practices. From dissecting technological innovations to exploring comprehensive market segmentation and regional nuances, the discussion has illuminated the path forward for organizations aiming to enhance asset reliability and extend lifecycle value. As technological, regulatory, and market forces continue to evolve, businesses must remain agile, adopting forward-thinking strategies that not only mitigate risk but also pave the way for more sustainable and efficient operations. The synthesis of these insights reaffirms that deliberate, data-driven decision-making will be crucial for meeting future challenges and capturing emerging opportunities in an increasingly complex global landscape.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Growing adoption of digital transformation and Industry 4.0 initiatives across industries
    • 5.1.1.2. Increasing demand of asset performance management for predictive maintenance
  • 5.1.2. Restraints
    • 5.1.2.1. Technical complexity of integrating APM solutions with existing IT infrastructure
  • 5.1.3. Opportunities
    • 5.1.3.1. Rising adoption of digital twin technology to enhance real-time asset monitoring and performance
    • 5.1.3.2. Incorporation of artificial intelligence and machine learning technologies in asset performance management system
  • 5.1.4. Challenges
    • 5.1.4.1. Concerns related to data security and privacy issues
• 5.2. Market Segmentation Analysis
  • 5.2.1. Component: Increasing adoption of asset performance management solutions due to its integration capabilities with Industry 4.0
  • 5.2.2. Module: Growing adoption of asset health modules in the oil and gas sector
  • 5.2.3. Asset Type: Emerging adoption of cloud-based asset management systems for production assets
  • 5.2.4. Deployment Type: Rapid deployment of cloud-based APM solutions due to flexibility and cost-effectiveness
  • 5.2.5. Organization Size: Large enterprises prefer APM solutions that can integrate seamlessly with their existing systems
  • 5.2.6. Vertical: Significant expansion of energy & utilities demands APM to optimize asset lifecycle management
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Asset Performance Management Market, by Component

• 6.1. Introduction
• 6.2. Services
  • 6.2.1. Managed Services
  • 6.2.2. Professional Services
• 6.3. Solutions
  • 6.3.1. Asset Integrity Management
  • 6.3.2. Asset Reliability Management
  • 6.3.3. Asset Strategy Management
  • 6.3.4. Condition Monitoring
  • 6.3.5. Predictive Asset Management

7. Asset Performance Management Market, by Module

• 7.1. Introduction
• 7.2. Asset Health
• 7.3. Asset Reliability
• 7.4. Asset Strategy

8. Asset Performance Management Market, by Asset Type

• 8.1. Introduction
• 8.2. Fixed Assets
• 8.3. Infrastructure Assets
• 8.4. Mobile Assets
• 8.5. Production Assets

9. Asset Performance Management Market, by Deployment Type

• 9.1. Introduction
• 9.2. Cloud
• 9.3. On-premises

10. Asset Performance Management Market, by Organization Size

• 10.1. Introduction
• 10.2. Large Enterprises
• 10.3. Small & Medium-sized Enterprises

11. Asset Performance Management Market, by Vertical

• 11.1. Introduction
• 11.2. Chemicals & Petrochemicals
• 11.3. Energy & Utilities
• 11.4. Food & Beverages
• 11.5. Government & Defence
• 11.6. Healthcare & Pharmaceuticals
• 11.7. Manufacturing
  • 11.7.1. Discrete Manufacturing
  • 11.7.2. Heavy Manufacturing
  • 11.7.3. Process Manufacturing
• 11.8. Oil & Gas
  • 11.8.1. Downstream
  • 11.8.2. Midstream
  • 11.8.3. Upstream
• 11.9. Telecommunications
  • 11.9.1. Data Centers
  • 11.9.2. Network Infrastructure
  • 11.9.3. Transmission Networks

12. Americas Asset Performance Management Market

• 12.1. Introduction
• 12.2. Argentina
• 12.3. Brazil
• 12.4. Canada
• 12.5. Mexico
• 12.6. United States

13. Asia-Pacific Asset Performance Management Market

• 13.1. Introduction
• 13.2. Australia
• 13.3. China
• 13.4. India
• 13.5. Indonesia
• 13.6. Japan
• 13.7. Malaysia
• 13.8. Philippines
• 13.9. Singapore
• 13.10. South Korea
• 13.11. Taiwan
• 13.12. Thailand
• 13.13. Vietnam

14. Europe, Middle East & Africa Asset Performance Management Market

• 14.1. Introduction
• 14.2. Denmark
• 14.3. Egypt
• 14.4. Finland
• 14.5. France
• 14.6. Germany
• 14.7. Israel
• 14.8. Italy
• 14.9. Netherlands
• 14.10. Nigeria
• 14.11. Norway
• 14.12. Poland
• 14.13. Qatar
• 14.14. Russia
• 14.15. Saudi Arabia
• 14.16. South Africa
• 14.17. Spain
• 14.18. Sweden
• 14.19. Switzerland
• 14.20. Turkey
• 14.21. United Arab Emirates
• 14.22. United Kingdom

15. Competitive Landscape

• 15.1. Market Share Analysis, 2023
• 15.2. FPNV Positioning Matrix, 2023
• 15.3. Competitive Scenario Analysis
  • 15.3.1. IBM acquires AI-powered renewables asset management firm Prescinto
  • 15.3.2. Excelsior Energy Capital partners with Proximal Energy to leverage AI for enhanced asset management in renewable energy projects
  • 15.3.3. MidCentral and OIC collaborate in a USD 75 million venture to enhance distributed power solutions and sustainability
  • 15.3.4. TruGreen launches at REI Expo 2024 transforming digital asset management in renewable energy
  • 15.3.5. Elomatic's Aura APM transforms maritime industry with AI-driven predictive maintenance at SMM
  • 15.3.6. Trimble Unity transforms asset lifecycle management with cloud-based solutions for optimal control and cost efficiency
  • 15.3.7. Hitachi and Microsoft partner to enhance asset performance management with generative AI solutions
  • 15.3.8. Eviden and Samotics launch joint Asset Management Solution for energy efficiency
  • 15.3.9. Enhancing industrial efficiency and sustainability through ABB's SmartMaster platform for digital asset management
  • 15.3.10. Aspen Technology introduces AI-driven enhancements in aspenONE to boost sustainability in asset management
  • 15.3.11. Hitachi Energy unveils advanced Lumada APM solution to transform asset management and sustainability
  • 15.3.12. Software AG and SAP transforms asset performance management by integrating Cumulocity IoT for enhanced operational resilience
• 15.4. Strategy Analysis & Recommendation
  • 15.4.1. SAP SE
  • 15.4.2. International Business Machines Corporation
  • 15.4.3. Aspen Technology, Inc.
  • 15.4.4. ABB Ltd.

Companies Mentioned

• 1. AB SKF
• 2. ABB Ltd.
• 3. Accenture PLC
• 4. Bentley Systems, Incorporated
• 5. Dassault Systemes SE
• 6. DNV Group AS
• 7. EAMbrace by Gaurik Solutions, Inc.
• 8. Emerson Electric Co.
• 9. Fortive Corporation
• 10. GE Vernova Inc.
• 11. Gray Matter Systems
• 12. Hexagon AB
• 13. Hitachi, Ltd.
• 14. Honeywell International Inc.
• 15. IFS AB
• 16. Infor
• 17. Innovapptive Inc.
• 18. International Business Machines Corporation
• 19. IPS Intelligent Process Solutions GmbH
• 20. Kongsberg Digital
• 21. ManWinWin Software
• 22. Mitsubishi Electric Corporation
• 23. Nexus Global Business Solutions, Inc.
• 24. Oracle Corporation
• 25. Pragma Group
• 26. Rockwell Automation, Inc.
• 27. SAP SE
• 28. Schneider Electric SE
• 29. Siemens AG
• 30. Tata Consultancy Services
• 31. Yokogawa Electric Corporation