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1522118

企業資產管理市場 - 全球產業規模、佔有率、趨勢、機會和預測，按組件、組織規模、部署模型、應用、垂直行業、地區和競爭細分，2019-2029F

Enterprise Asset Management Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Organization Size, By Deployment Model, By Application, By Industry Vertical, By Region and Competition, 2019-2029F
出版日期: | 出版商: TechSci Research | 英文 185 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2023 年全球企業資產管理市場估值為 46.7 億美元，預計在預測期內將出現強勁成長，到 2029 年複合年成長率為 11.56%。

市場概況
預測期 2025-2029
2023 年市場規模 46.7億美元
2029 年市場規模 90.8億美元
2024-2029 年複合年成長率 11.56%
成長最快的細分市場 混合模型
最大的市場 北美洲

由於組織對最大化資產利用率、降低營運成本和提高整體生產力的需求日益成長，企業資產管理 (EAM) 市場正在經歷強勁成長。 EAM 解決方案涵蓋企業用於在整個生命週期中管理實體資產的軟體、系統和服務。這些資產包括設備、機械、車輛和設施等。該市場的擴張受到多種因素的推動，包括物聯網 (IoT) 技術的日益普及，該技術能夠實現資產的即時監控和預測性維護。 IoT 與 EAM 系統的整合有助於最大限度地減少停機時間、延長資產壽命並確保合規性。

製造、能源和公用事業、運輸和醫療保健等行業是 EAM 解決方案需求的主要貢獻者。例如，在製造業中，維持連續生產流程並避免代價高昂的停機的需求推動了 EAM 的採用。同樣，在能源和公用事業領域，資產地理位置分散且通常在惡劣環境下運行，EAM 系統在維護資產健康和營運效率方面發揮著至關重要的作用。交通運輸部門利用 EAM 管理車隊和基礎設施，確保安全性和可靠性。醫療機構使用 EAM 來保持關鍵醫療設備的運行，從而增強病患照護和安全。

市場也見證了軟體功能的顯著進步，包括人工智慧 (AI) 和機器學習 (ML) 的結合。這些技術支援更複雜的分析和預測維護功能，使組織能夠在潛在問題導致資產故障之前預測並解決它們。基於雲端的 EAM 解決方案也越來越受歡迎，因為它提供了可擴展性、降低了前期成本，並且易於與其他企業系統整合。向雲端運算的轉變對於需要靈活且經濟高效的資產管理解決方案的中小企業 (SME) 特別有利。

EAM 市場的挑戰包括與實施 EAM 系統相關的高昂初始成本以及將這些解決方案與現有企業系統整合的複雜性。然而，提高資產性能、降低維護成本和提高營運效率等長期效益吸引組織投資 EAM 解決方案。總體而言，在技術進步以及對資產最佳化和生命週期管理日益重視的推動下，EAM 市場預計將持續成長。

主要市場促進因素

物聯網和人工智慧的技術進步

資產生命週期管理的需求不斷成長

日益關注監管合規和風險管理

基於雲端的 EAM 解決方案的興起

主要市場挑戰

初始成本高且投資報酬率不確定

與遺留系統整合

資料安全和隱私問題

變更管理和使用者採用

主要市場趨勢

物聯網與預測性維護的整合

採用雲端為基礎的 EAM 解決方案

強調行動性和遠端訪問

人工智慧和機器學習增強

細分市場洞察

組件洞察

區域洞察

目錄

第 1 章：服務概述

  • 市場定義
  • 市場範圍
    • 涵蓋的市場
    • 研究年份
    • 主要市場區隔

第 2 章：研究方法

第 3 章：執行摘要

第 4 章：客戶之聲

第 5 章：全球企業資產管理市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件（解決方案、服務）
    • 依組織規模（中小企業、大型企業）
    • 按部署模型（本地、基於雲端、混合模型）
    • 按應用（資產 MRO、非線性資產、線性資產、現場服務管理）
    • 按垂直產業（製造、公用事業、運輸、石油和天然氣、政府和國防、其他）
    • 按地區（北美、歐洲、南美、中東和非洲、亞太地區）
  • 按公司分類 (2023)
  • 市場地圖

第 6 章：北美企業資產管理市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按組織規模
    • 按部署模型
    • 按申請
    • 按行業分類
    • 按國家/地區
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第 7 章：歐洲企業資產管理市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按組織規模
    • 按部署模型
    • 按申請
    • 按行業分類
    • 按國家/地區
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第 8 章：南美洲企業資產管理市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按組織規模
    • 按部署模型
    • 按申請
    • 按行業分類
    • 按國家/地區
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第 9 章：中東和非洲企業資產管理市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按組織規模
    • 按部署模型
    • 按申請
    • 按行業分類
    • 按國家/地區
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第 10 章：亞太地區企業資產管理市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按組織規模
    • 按部署模型
    • 按申請
    • 按行業分類
    • 按國家/地區
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第 11 章：市場動態

  • 促進要素
  • 挑戰

第 12 章：市場趨勢與發展

第 13 章：公司簡介

  • IBM Corporation
  • SAP SE
  • Oracle Corporation
  • Infor
  • Siemens AG
  • Hexagon AB
  • IFS Group
  • ABB Ltd.
  • Bentley Systems, Incorporated
  • Schneider Electric SE

第 14 章：策略建議

第15章調查會社について,免責事項

簡介目錄
Product Code: 24162

The Global Enterprise Asset Management Market was valued at USD 4.67 Billion in 2023 and is predicted to experience robust growth in the forecast period with a CAGR of 11.56% through 2029.

Market Overview
Forecast Period2025-2029
Market Size 2023USD 4.67 Billion
Market Size 2029USD 9.08 Billion
CAGR 2024-202911.56%
Fastest Growing SegmentHybrid Model
Largest MarketNorth America

The Enterprise Asset Management (EAM) market is experiencing robust growth driven by the increasing need for organizations to maximize asset utilization, reduce operational costs, and enhance overall productivity. EAM solutions encompass the software, systems, and services used by enterprises to manage their physical assets throughout their lifecycle. These assets include equipment, machinery, vehicles, and facilities, among others. The market's expansion is propelled by several factors, including the growing adoption of Internet of Things (IoT) technologies, which enable real-time monitoring and predictive maintenance of assets. This integration of IoT with EAM systems helps in minimizing downtime, extending asset life, and ensuring regulatory compliance.

Industries such as manufacturing, energy and utilities, transportation, and healthcare are major contributors to the demand for EAM solutions. In manufacturing, for instance, the need to maintain continuous production processes and avoid costly downtime drives the adoption of EAM. Similarly, in the energy and utilities sector, where assets are geographically dispersed and often operate in harsh environments, EAM systems play a crucial role in maintaining asset health and operational efficiency. The transportation sector leverages EAM to manage fleets and infrastructure, ensuring safety and reliability. Healthcare facilities use EAM to keep critical medical equipment operational, thereby enhancing patient care and safety.

The market is also witnessing significant advancements in software capabilities, including the incorporation of artificial intelligence (AI) and machine learning (ML). These technologies enable more sophisticated analytics and predictive maintenance capabilities, allowing organizations to anticipate and address potential issues before they lead to asset failure. Cloud-based EAM solutions are gaining traction as well, offering scalability, reduced upfront costs, and ease of integration with other enterprise systems. The shift towards cloud computing is particularly beneficial for small and medium-sized enterprises (SMEs) that require flexible and cost-effective asset management solutions.

Challenges in the EAM market include the high initial costs associated with the implementation of EAM systems and the complexity of integrating these solutions with existing enterprise systems. However, the long-term benefits of improved asset performance, reduced maintenance costs, and enhanced operational efficiency are compelling organizations to invest in EAM solutions. Overall, the EAM market is poised for continued growth, driven by technological advancements and the increasing emphasis on asset optimization and lifecycle management.

Key Market Drivers

Technological Advancements in IoT and AI

The integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies is a significant driver of the global Enterprise Asset Management (EAM) market. IoT enables real-time monitoring of assets through embedded sensors that collect data on various parameters such as temperature, pressure, and usage. This data provides valuable insights into the condition of assets, allowing for predictive maintenance and timely interventions, which can prevent unexpected failures and extend asset lifespan. AI further enhances this capability by analyzing large volumes of data to identify patterns and predict potential issues before they occur. The combination of IoT and AI in EAM systems leads to improved decision-making, optimized maintenance schedules, and reduced operational costs. As organizations seek to leverage these advanced technologies to gain a competitive edge, the demand for sophisticated EAM solutions continues to rise.

Growing Need for Asset Lifecycle Management

Effective management of the entire asset lifecycle-from acquisition and operation to maintenance and disposal-is a critical factor driving the EAM market. Organizations are increasingly recognizing the importance of maximizing the value derived from their physical assets. This involves not only maintaining optimal operational efficiency but also ensuring compliance with regulatory standards and minimizing environmental impact. EAM solutions provide comprehensive tools for tracking asset performance, planning maintenance activities, and managing asset-related costs throughout their lifecycle. By implementing EAM systems, organizations can achieve significant cost savings, enhance asset reliability, and improve overall productivity. The growing focus on asset lifecycle management, particularly in asset-intensive industries such as manufacturing, energy, and utilities, is a key driver of the EAM market's growth.

Increasing Focus on Regulatory Compliance and Risk Management

Regulatory compliance and risk management are crucial considerations for organizations operating in highly regulated industries. EAM solutions play a vital role in ensuring compliance with various standards and regulations related to asset management, safety, and environmental sustainability. For instance, in industries like healthcare, pharmaceuticals, and energy, stringent regulations govern the maintenance and operation of critical assets. EAM systems help organizations adhere to these regulations by providing tools for tracking compliance, documenting maintenance activities, and generating audit trails. Additionally, EAM solutions assist in identifying and mitigating risks associated with asset failures, thereby reducing the likelihood of incidents that could lead to financial losses or reputational damage. The increasing emphasis on regulatory compliance and risk management is driving the adoption of EAM solutions across various sectors.

Rise of Cloud-Based EAM Solutions

The shift towards cloud-based EAM solutions is a major market driver, offering several advantages over traditional on-premises systems. Cloud-based EAM solutions provide greater flexibility, scalability, and cost-effectiveness, making them particularly attractive to small and medium-sized enterprises (SMEs). These solutions eliminate the need for significant upfront investments in hardware and infrastructure, allowing organizations to adopt EAM systems with minimal financial risk. Additionally, cloud-based EAM solutions enable seamless integration with other enterprise systems, facilitating data sharing and improving overall operational efficiency. The ability to access EAM systems remotely also supports the growing trend of remote work and mobile workforce management. As more organizations seek to leverage the benefits of cloud computing, the demand for cloud-based EAM solutions is expected to increase, driving market growth.

Key Market Challenges

High Initial Costs and ROI Uncertainty

One of the most significant challenges in the global Enterprise Asset Management (EAM) market is the high initial costs associated with the implementation of EAM systems. These costs include not only the price of the software itself but also the expenses related to hardware, customization, integration with existing systems, and employee training. For many organizations, particularly small and medium-sized enterprises (SMEs), these upfront investments can be prohibitive. Furthermore, the return on investment (ROI) for EAM systems can be uncertain and may take several years to materialize. This uncertainty can make it difficult for decision-makers to justify the initial expenditure, especially when budgets are tight or when there are competing priorities for capital investment.

Integration with Legacy Systems

Integrating EAM solutions with existing legacy systems is another major challenge. Many organizations operate with a mix of old and new technologies, and ensuring that a new EAM system can seamlessly interact with these diverse systems is a complex task. Legacy systems often lack the compatibility and flexibility needed to integrate smoothly with modern EAM software, leading to potential data silos and inefficiencies. This integration complexity can result in increased costs, extended implementation timelines, and disruptions to daily operations. Moreover, the need for specialized IT expertise to manage the integration process can further strain resources and delay the realization of benefits from the EAM system.

Data Security and Privacy Concerns

As EAM systems become more connected through the Internet of Things (IoT) and cloud-based platforms, concerns about data security and privacy are becoming more pronounced. EAM systems collect and store vast amounts of sensitive information about an organization's assets, operations, and maintenance activities. This data is a valuable target for cyberattacks, which can result in significant financial losses, operational disruptions, and damage to an organization's reputation. Ensuring robust security measures and compliance with data protection regulations is essential, but it also adds to the complexity and cost of implementing and maintaining EAM systems. Organizations must invest in advanced cybersecurity technologies and practices to protect their data, which can be a challenging and ongoing effort.

Change Management and User Adoption

Implementing a new EAM system requires not only technological changes but also significant organizational change management. Employees need to adapt to new processes, workflows, and technologies, which can be met with resistance. Ensuring user adoption is crucial for the success of an EAM system, as its effectiveness depends on accurate and consistent data entry and utilization. Resistance to change can stem from a lack of understanding of the benefits, fear of job displacement, or discomfort with new technologies. Organizations must invest in comprehensive training programs, effective communication strategies, and ongoing support to facilitate user adoption and minimize resistance. This process can be time-consuming and resource-intensive, impacting the overall timeline and cost of the EAM implementation.

Key Market Trends

Integration of IoT and Predictive Maintenance

One of the most significant trends in the global Enterprise Asset Management (EAM) market is the integration of Internet of Things (IoT) technology and predictive maintenance. IoT-enabled devices and sensors provide real-time data on asset performance and condition, allowing organizations to monitor assets remotely and continuously. This real-time monitoring facilitates predictive maintenance, which uses data analytics to predict when an asset is likely to fail, enabling preemptive maintenance actions. Predictive maintenance helps organizations avoid unplanned downtime, extend the life of their assets, and reduce maintenance costs. Companies are increasingly investing in IoT-enabled EAM solutions to enhance operational efficiency and asset reliability. This trend is particularly prevalent in industries with high-value assets, such as manufacturing, energy, and utilities, where the cost of asset failure can be substantial.

Adoption of Cloud-Based EAM Solutions

The shift towards cloud-based EAM solutions is another major trend shaping the market. Cloud-based EAM offers several advantages over traditional on-premise solutions, including scalability, lower upfront costs, and ease of integration with other enterprise systems. These solutions allow organizations to access their asset management systems from anywhere, providing flexibility and supporting remote work environments. Additionally, cloud-based EAM systems often include automatic updates and enhanced security features, reducing the burden on internal IT resources. This trend is particularly beneficial for small and medium-sized enterprises (SMEs), which may lack the resources to deploy and maintain on-premise EAM systems. As more organizations recognize the benefits of cloud-based EAM, the demand for these solutions is expected to continue growing.

Emphasis on Mobility and Remote Access

Mobility and remote access are becoming increasingly important in the EAM market. Modern EAM solutions are incorporating mobile capabilities, enabling field workers and maintenance teams to access asset information, perform inspections, and report issues directly from their mobile devices. This trend enhances productivity by reducing the time spent on administrative tasks and improving the accuracy of data collection. Mobile EAM solutions also facilitate real-time communication and collaboration among maintenance teams, leading to faster response times and better decision-making. The emphasis on mobility is driven by the need for more agile and responsive asset management processes, particularly in industries such as transportation, utilities, and oil and gas, where assets are often spread across large geographic areas.

AI and Machine Learning Enhancements

Artificial Intelligence (AI) and Machine Learning (ML) are transforming the EAM landscape by enabling more advanced data analytics and decision-making capabilities. AI and ML algorithms can analyze vast amounts of data from various sources, including IoT sensors, historical maintenance records, and external factors such as weather conditions. These technologies can identify patterns and anomalies that might be missed by human analysis, providing insights into asset performance and potential failure points. AI-driven EAM systems can also automate routine tasks, such as scheduling maintenance and generating work orders, freeing up human resources for more strategic activities. The incorporation of AI and ML in EAM is enhancing predictive maintenance, optimizing asset utilization, and improving overall operational efficiency.

Segmental Insights

Component Insights

Solutions segment dominates in the global Enterprise Asset Management market in 2023. As businesses grow and their operations become more complex, the need for sophisticated EAM solutions increases. Companies are managing a larger number of diverse assets, from machinery and equipment to facilities and infrastructure. Advanced EAM solutions provide comprehensive tools for tracking, maintaining, and optimizing these assets, which is essential for ensuring operational efficiency and reducing downtime. The ability to manage complex asset portfolios effectively drives demand for robust EAM solutions.

The rapid advancement of technology has significantly enhanced the capabilities of EAM solutions. The integration of technologies such as IoT, AI, and ML has transformed traditional asset management practices. These technologies enable real-time monitoring, predictive maintenance, and data-driven decision-making, providing organizations with deeper insights into asset performance and health. The enhanced functionality and efficiency offered by these technologies make EAM solutions more attractive to businesses seeking to leverage cutting-edge innovations.

Preventive and predictive maintenance have become critical strategies for organizations aiming to minimize unplanned downtime and extend the life of their assets. EAM solutions equipped with predictive analytics and IoT capabilities allow companies to anticipate maintenance needs and address potential issues before they result in asset failure. This proactive approach to maintenance not only improves asset reliability but also reduces maintenance costs and enhances overall operational efficiency. The effectiveness of EAM solutions in supporting preventive and predictive maintenance contributes to their market dominance.

Organizations across various industries face stringent regulatory requirements and standards related to asset management and maintenance. EAM solutions provide essential tools for ensuring compliance with these regulations by maintaining accurate records of asset performance, maintenance activities, and inspections. Additionally, EAM solutions help in identifying and mitigating risks associated with asset management, such as equipment failures and safety hazards. The ability to support regulatory compliance and risk management is a significant driver for the adoption of EAM solutions.

The increasing adoption of cloud-based EAM solutions is another factor contributing to the dominance of the solutions segment. Cloud-based EAM offers several advantages, including scalability, reduced upfront costs, and ease of integration with other enterprise systems. These solutions enable organizations to scale their asset management capabilities according to their needs, making them particularly appealing to small and medium-sized enterprises (SMEs) and businesses with dynamic operations. The flexibility and cost-effectiveness of cloud-based EAM solutions drive their popularity in the market.

Modern EAM solutions come equipped with advanced data analytics and reporting capabilities, allowing organizations to gain valuable insights into their asset performance and maintenance practices. These capabilities enable businesses to make informed decisions, optimize asset utilization, and improve overall operational efficiency. The ability to analyze large volumes of data and generate actionable insights is a key factor driving the adoption of EAM solutions.

EAM solutions are increasingly being customized to meet the specific needs of different industries. Industry-specific EAM solutions address unique challenges and requirements, providing tailored functionalities and workflows that enhance their effectiveness. For example, EAM solutions for the healthcare sector may focus on maintaining critical medical equipment, while solutions for the energy sector may emphasize asset health monitoring and regulatory compliance. The availability of customized and industry-specific EAM solutions contributes to their widespread adoption and market dominance.

Regional Insights

North America dominates the global Enterprise Asset Management market in 2023. North America, particularly the United States and Canada, boasts a highly advanced technological infrastructure. This region is home to numerous leading technology companies and innovative startups, fostering an environment conducive to the development and adoption of cutting-edge EAM solutions. The integration of advanced technologies such as IoT, AI, and ML into EAM systems is more prevalent in North America, enhancing the efficiency and effectiveness of asset management practices. The strong technological foundation in this region supports the widespread implementation and utilization of sophisticated EAM solutions.

Industries in North America, including manufacturing, energy and utilities, transportation, and healthcare, are significant adopters of EAM solutions. The manufacturing sector, for instance, relies heavily on EAM systems to ensure continuous production processes, reduce downtime, and optimize asset performance. In the energy and utilities sector, where assets are often geographically dispersed and operate under harsh conditions, EAM solutions are essential for maintaining asset health and regulatory compliance. The transportation industry uses EAM systems to manage fleets and infrastructure, ensuring safety and reliability. The high adoption rates across these key industries contribute to the dominance of North America in the EAM market.

Organizations in North America place a strong emphasis on preventive and predictive maintenance strategies. EAM solutions that offer predictive analytics and real-time monitoring capabilities enable these organizations to anticipate maintenance needs and prevent asset failures. This proactive approach not only improves asset reliability but also reduces maintenance costs and enhances overall operational efficiency. The focus on preventive and predictive maintenance drives the demand for advanced EAM solutions in North America.

North America has stringent regulatory requirements and standards related to asset management and maintenance, particularly in industries such as energy, healthcare, and transportation. EAM solutions play a crucial role in helping organizations comply with these regulations by providing tools for accurate record-keeping, asset tracking, and maintenance documentation. Additionally, EAM systems help organizations identify and mitigate risks associated with asset management, such as equipment failures and safety hazards. The need to ensure regulatory compliance and effective risk management drives the adoption of EAM solutions in North America.

Businesses in North America are heavily investing in digital transformation initiatives to enhance their operational efficiency and competitiveness. EAM solutions are a critical component of these digital transformation efforts, enabling organizations to modernize their asset management practices, integrate advanced technologies, and streamline operations. The significant investment in digital transformation projects supports the growth and dominance of the EAM market in North America.

North America benefits from a highly skilled workforce with expertise in technology, engineering, and asset management. This skilled workforce is essential for the successful implementation and utilization of advanced EAM solutions. The availability of trained professionals who can effectively manage and optimize asset performance contributes to the region's leadership in the EAM market.

The economic strength and large market size of North America provide a solid foundation for the growth of the EAM market. The region's robust economy supports substantial investments in infrastructure, technology, and industrial projects, all of which drive the demand for EAM solutions. Additionally, the presence of numerous large enterprises with complex asset management needs further fuels the growth of the EAM market in North America.

North America is home to many leading EAM solution providers, including IBM, Oracle, Infor, and others. The presence of these key players in the region enhances the availability and accessibility of advanced EAM solutions. These vendors continuously innovate and expand their product offerings, catering to the evolving needs of organizations in various industries. The strong vendor presence in North America supports the region's dominance in the global EAM market.

Key Market Players

IBM Corporation

SAP SE

Oracle Corporation

Infor

Siemens AG

Hexagon AB

IFS Group

ABB Ltd.

Bentley Systems, Incorporated

Schneider Electric SE

Report Scope:

In this report, the Global Enterprise Asset Management Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Enterprise Asset Management Market, By Component:

    Solutions Services

Enterprise Asset Management Market, By Organization Size:

    SMEs Large Enterprises

Enterprise Asset Management Market, By Deployment Model:

    On-Premise Cloud-Based Hybrid Model

Enterprise Asset Management Market, By Application:

    Assets MRO Non-Linear Assets Linear Assets Field Service Management

Enterprise Asset Management Market, By Industry Vertical:

    Manufacturing Utilities Transportation Oil & Gas Government & Defense Others

Enterprise Asset Management Market, By Region:

    North America
    • United States
    • Canada
    • Mexico
    Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    South America
    • Brazil
    • Argentina
    • Colombia
    Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Australia
    Middle East & Africa
    • Saudi Arabia
    • UAE
    • South Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Enterprise Asset Management Market.

Available Customizations:

Global Enterprise Asset Management Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Service Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Baseline Methodology
  • 2.2. Key Industry Partners
  • 2.3. Major Association and Secondary Sources
  • 2.4. Forecasting Methodology
  • 2.5. Data Triangulation & Validation
  • 2.6. Assumptions and Limitations

3. Executive Summary

4. Voice of Customer

5. Global Enterprise Asset Management Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Component (Solutions, Services)
    • 5.2.2. By Organization Size (SMEs, Large Enterprises)
    • 5.2.3. By Deployment Model (On-Premise, Cloud-Based, Hybrid Model)
    • 5.2.4. By Application (Assets MRO, Non-Linear Assets, Linear Assets, Field Service Management)
    • 5.2.5. By Industry Vertical (Manufacturing, Utilities, Transportation, Oil & Gas, Government & Defense, Others)
    • 5.2.6. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
  • 5.3. By Company (2023)
  • 5.4. Market Map

6. North America Enterprise Asset Management Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component
    • 6.2.2. By Organization Size
    • 6.2.3. By Deployment Model
    • 6.2.4. By Application
    • 6.2.5. By Industry Vertical
    • 6.2.6. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Enterprise Asset Management Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Component
        • 6.3.1.2.2. By Organization Size
        • 6.3.1.2.3. By Deployment Model
        • 6.3.1.2.4. By Application
        • 6.3.1.2.5. By Industry Vertical
    • 6.3.2. Canada Enterprise Asset Management Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Component
        • 6.3.2.2.2. By Organization Size
        • 6.3.2.2.3. By Deployment Model
        • 6.3.2.2.4. By Application
        • 6.3.2.2.5. By Industry Vertical
    • 6.3.3. Mexico Enterprise Asset Management Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Component
        • 6.3.3.2.2. By Organization Size
        • 6.3.3.2.3. By Deployment Model
        • 6.3.3.2.4. By Application
        • 6.3.3.2.5. By Industry Vertical

7. Europe Enterprise Asset Management Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Organization Size
    • 7.2.3. By Deployment Model
    • 7.2.4. By Application
    • 7.2.5. By Industry Vertical
    • 7.2.6. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Enterprise Asset Management Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Component
        • 7.3.1.2.2. By Organization Size
        • 7.3.1.2.3. By Deployment Model
        • 7.3.1.2.4. By Application
        • 7.3.1.2.5. By Industry Vertical
    • 7.3.2. France Enterprise Asset Management Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Component
        • 7.3.2.2.2. By Organization Size
        • 7.3.2.2.3. By Deployment Model
        • 7.3.2.2.4. By Application
        • 7.3.2.2.5. By Industry Vertical
    • 7.3.3. United Kingdom Enterprise Asset Management Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Component
        • 7.3.3.2.2. By Organization Size
        • 7.3.3.2.3. By Deployment Model
        • 7.3.3.2.4. By Application
        • 7.3.3.2.5. By Industry Vertical
    • 7.3.4. Italy Enterprise Asset Management Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Component
        • 7.3.4.2.2. By Organization Size
        • 7.3.4.2.3. By Deployment Model
        • 7.3.4.2.4. By Application
        • 7.3.4.2.5. By Industry Vertical
    • 7.3.5. Spain Enterprise Asset Management Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Component
        • 7.3.5.2.2. By Organization Size
        • 7.3.5.2.3. By Deployment Model
        • 7.3.5.2.4. By Application
        • 7.3.5.2.5. By Industry Vertical

8. South America Enterprise Asset Management Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Organization Size
    • 8.2.3. By Deployment Model
    • 8.2.4. By Application
    • 8.2.5. By Industry Vertical
    • 8.2.6. By Country
  • 8.3. South America: Country Analysis
    • 8.3.1. Brazil Enterprise Asset Management Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Component
        • 8.3.1.2.2. By Organization Size
        • 8.3.1.2.3. By Deployment Model
        • 8.3.1.2.4. By Application
        • 8.3.1.2.5. By Industry Vertical
    • 8.3.2. Colombia Enterprise Asset Management Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Component
        • 8.3.2.2.2. By Organization Size
        • 8.3.2.2.3. By Deployment Model
        • 8.3.2.2.4. By Application
        • 8.3.2.2.5. By Industry Vertical
    • 8.3.3. Argentina Enterprise Asset Management Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Component
        • 8.3.3.2.2. By Organization Size
        • 8.3.3.2.3. By Deployment Model
        • 8.3.3.2.4. By Application
        • 8.3.3.2.5. By Industry Vertical

9. Middle East & Africa Enterprise Asset Management Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Organization Size
    • 9.2.3. By Deployment Model
    • 9.2.4. By Application
    • 9.2.5. By Industry Vertical
    • 9.2.6. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Enterprise Asset Management Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Component
        • 9.3.1.2.2. By Organization Size
        • 9.3.1.2.3. By Deployment Model
        • 9.3.1.2.4. By Application
        • 9.3.1.2.5. By Industry Vertical
    • 9.3.2. UAE Enterprise Asset Management Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Component
        • 9.3.2.2.2. By Organization Size
        • 9.3.2.2.3. By Deployment Model
        • 9.3.2.2.4. By Application
        • 9.3.2.2.5. By Industry Vertical
    • 9.3.3. South Africa Enterprise Asset Management Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Component
        • 9.3.3.2.2. By Organization Size
        • 9.3.3.2.3. By Deployment Model
        • 9.3.3.2.4. By Application
        • 9.3.3.2.5. By Industry Vertical

10. Asia Pacific Enterprise Asset Management Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Organization Size
    • 10.2.3. By Deployment Model
    • 10.2.4. By Application
    • 10.2.5. By Industry Vertical
    • 10.2.6. By Country
  • 10.3. Asia Pacific: Country Analysis
    • 10.3.1. China Enterprise Asset Management Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Component
        • 10.3.1.2.2. By Organization Size
        • 10.3.1.2.3. By Deployment Model
        • 10.3.1.2.4. By Application
        • 10.3.1.2.5. By Industry Vertical
    • 10.3.2. India Enterprise Asset Management Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Component
        • 10.3.2.2.2. By Organization Size
        • 10.3.2.2.3. By Deployment Model
        • 10.3.2.2.4. By Application
        • 10.3.2.2.5. By Industry Vertical
    • 10.3.3. Japan Enterprise Asset Management Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Component
        • 10.3.3.2.2. By Organization Size
        • 10.3.3.2.3. By Deployment Model
        • 10.3.3.2.4. By Application
        • 10.3.3.2.5. By Industry Vertical
    • 10.3.4. South Korea Enterprise Asset Management Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Component
        • 10.3.4.2.2. By Organization Size
        • 10.3.4.2.3. By Deployment Model
        • 10.3.4.2.4. By Application
        • 10.3.4.2.5. By Industry Vertical
    • 10.3.5. Australia Enterprise Asset Management Market Outlook
      • 10.3.5.1. Market Size & Forecast
        • 10.3.5.1.1. By Value
      • 10.3.5.2. Market Share & Forecast
        • 10.3.5.2.1. By Component
        • 10.3.5.2.2. By Organization Size
        • 10.3.5.2.3. By Deployment Model
        • 10.3.5.2.4. By Application
        • 10.3.5.2.5. By Industry Vertical

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends and Developments

13. Company Profiles

  • 13.1. IBM Corporation
    • 13.1.1. Business Overview
    • 13.1.2. Key Revenue and Financials
    • 13.1.3. Recent Developments
    • 13.1.4. Key Personnel
    • 13.1.5. Key Product/Services Offered
  • 13.2. SAP SE
    • 13.2.1. Business Overview
    • 13.2.2. Key Revenue and Financials
    • 13.2.3. Recent Developments
    • 13.2.4. Key Personnel
    • 13.2.5. Key Product/Services Offered
  • 13.3. Oracle Corporation
    • 13.3.1. Business Overview
    • 13.3.2. Key Revenue and Financials
    • 13.3.3. Recent Developments
    • 13.3.4. Key Personnel
    • 13.3.5. Key Product/Services Offered
  • 13.4. Infor
    • 13.4.1. Business Overview
    • 13.4.2. Key Revenue and Financials
    • 13.4.3. Recent Developments
    • 13.4.4. Key Personnel
    • 13.4.5. Key Product/Services Offered
  • 13.5. Siemens AG
    • 13.5.1. Business Overview
    • 13.5.2. Key Revenue and Financials
    • 13.5.3. Recent Developments
    • 13.5.4. Key Personnel
    • 13.5.5. Key Product/Services Offered
  • 13.6. Hexagon AB
    • 13.6.1. Business Overview
    • 13.6.2. Key Revenue and Financials
    • 13.6.3. Recent Developments
    • 13.6.4. Key Personnel
    • 13.6.5. Key Product/Services Offered
  • 13.7. IFS Group
    • 13.7.1. Business Overview
    • 13.7.2. Key Revenue and Financials
    • 13.7.3. Recent Developments
    • 13.7.4. Key Personnel
    • 13.7.5. Key Product/Services Offered
  • 13.8. ABB Ltd.
    • 13.8.1. Business Overview
    • 13.8.2. Key Revenue and Financials
    • 13.8.3. Recent Developments
    • 13.8.4. Key Personnel
    • 13.8.5. Key Product/Services Offered
  • 13.9. Bentley Systems, Incorporated
    • 13.9.1. Business Overview
    • 13.9.2. Key Revenue and Financials
    • 13.9.3. Recent Developments
    • 13.9.4. Key Personnel
    • 13.9.5. Key Product/Services Offered
  • 13.10. Schneider Electric SE
    • 13.10.1. Business Overview
    • 13.10.2. Key Revenue and Financials
    • 13.10.3. Recent Developments
    • 13.10.4. Key Personnel
    • 13.10.5. Key Product/Services Offered

14. Strategic Recommendations

15. About Us & Disclaimer