エンタープライズ資産管理市場：世界の産業規模、シェア、動向、機会、予測、コンポーネント別、組織規模別、展開モデル別、用途別、業界別、地域別、競合別、2019年～2029年

エンタープライズ資産管理の世界市場規模は2023年に46億7,000万米ドルとなり、2029年までの予測期間のCAGRは11.56%と堅調な成長が予測されています。

エンタープライズ資産管理（EAM）市場は、資産活用の最大化、運用コストの削減、全体的な生産性の向上に対する企業のニーズの高まりにより、力強い成長を遂げています。EAMソリューションには、企業がライフサイクルを通じて物理的資産を管理するために使用するソフトウェア、システム、サービスが含まれます。これらの資産には、設備、機械、車両、施設などが含まれます。市場の拡大は、資産のリアルタイム監視と予知保全を可能にするモノのインターネット（IoT）技術の採用拡大など、いくつかの要因によって推進されています。このIoTとEAMシステムの統合は、ダウンタイムの最小化、資産寿命の延長、規制遵守の確保に役立ちます。

製造業、エネルギー・公益事業、運輸、ヘルスケアなどの産業は、EAMソリューションの需要に大きく貢献しています。例えば製造業では、継続的な生産プロセスを維持し、コストのかかるダウンタイムを回避する必要があるため、EAMの導入が進んでいます。同様に、資産が地理的に分散し、過酷な環境で運用されることが多いエネルギー・公共事業部門では、EAMシステムが資産の健全性と運用効率の維持に重要な役割を果たしています。運輸部門では、EAMを活用して車両やインフラを管理し、安全性と信頼性を確保しています。ヘルスケア施設では、EAMを利用して重要な医療機器を稼動状態に保つことで、患者のケアと安全性を高めています。

市場はまた、人工知能（AI）や機械学習（ML）の組み込みなど、ソフトウェア機能の著しい進歩も目の当たりにしています。これらの技術により、より高度な分析と予知保全機能が実現し、企業は資産の故障につながる前に潜在的な問題を予測して対処できるようになります。クラウドベースのEAMソリューションも、拡張性、初期コストの削減、他の企業システムとの統合の容易さを提供し、人気を集めています。クラウド・コンピューティングへの移行は、柔軟でコスト効率の高い資産管理ソリューションを必要とする中小企業（SME）にとって特に有益です。

EAM市場の課題には、EAMシステムの導入に伴う初期コストの高さや、これらのソリューションと既存の企業システムとの統合の複雑さなどがあります。しかし、資産パフォーマンスの改善、メンテナンスコストの削減、業務効率の向上といった長期的なメリットにより、企業はEAMソリューションへの投資を迫られています。全体として、EAM市場は、技術の進歩と資産の最適化とライフサイクル管理の重視の高まりによって、継続的な成長が見込まれています。

主な市場促進要因

IoTとAIの技術的進歩

資産ライフサイクル管理のニーズの高まり

規制遵守とリスク管理への注目の高まり

クラウドベースのEAMソリューションの台頭

主な市場課題

初期コストの高さとROIの不確実性

レガシーシステムとの統合

データ・セキュリティとプライバシーに関する懸念

変更管理とユーザー導入

主な市場動向

IoTと予知保全の統合

クラウドベースのEAMソリューションの採用

モビリティとリモートアクセスの重視

AIと機械学習の強化

目次

第1章 概要

• 市場の定義
• 市場の範囲
  • 対象市場
  • 調査対象年
  • 主要市場セグメンテーション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

第5章 世界のエンタープライズ資産管理市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • コンポーネント別（ソリューション、サービス）
  • 組織規模別（中小企業、大企業）
  • 展開モデル別（オンプレミス、クラウドベース、ハイブリッドモデル）
  • 用途別（資産 MRO、非線形資産、線形資産、フィールドサービス管理）
  • 業界別（製造、公共事業、輸送、石油・ガス、政府・防衛、その他）
  • 地域別（北米、欧州、南米、中東・アフリカ、アジア太平洋）
• 企業別（2023）
• 市場マップ

第6章 北米のエンタープライズ資産管理市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • コンポーネント別
  • 組織規模別
  • 展開モデル別
  • 用途別
  • 業界別
  • 国別
• 北米：国別分析
  • 米国
  • カナダ
  • メキシコ

第7章 欧州のエンタープライズ資産管理市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • コンポーネント別
  • 組織規模別
  • 展開モデル別
  • 用途別
  • 業界別
  • 国別
• 欧州：国別分析
  • ドイツ
  • フランス
  • 英国
  • イタリア
  • スペイン

第8章 南米のエンタープライズ資産管理市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • コンポーネント別
  • 組織規模別
  • 展開モデル別
  • 用途別
  • 業界別
  • 国別
• 南米：国別分析
  • ブラジル
  • コロンビア
  • アルゼンチン

第9章 中東・アフリカのエンタープライズ資産管理市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • コンポーネント別
  • 組織規模別
  • 展開モデル別
  • 用途別
  • 業界別
  • 国別
• 中東・アフリカ：国別分析
  • サウジアラビア
  • アラブ首長国連邦
  • 南アフリカ

第10章 アジア太平洋地域のエンタープライズ資産管理市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • コンポーネント別
  • 組織規模別
  • 展開モデル別
  • 用途別
  • 業界別
  • 国別
• アジア太平洋地域：国別分析
  • 中国
  • インド
  • 日本
  • 韓国
  • オーストラリア

第11章 市場力学

• 促進要因
• 課題

第12章 市場動向と発展

第13章 企業プロファイル

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

第14章 戦略的提言

第15章 調査会社について・免責事項

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.

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