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市場調查報告書
商品編碼
1206246

企業資產管理(EAM)的全球市場 - 市場規模(各零件，各部署模式，各企業規模，各用途，各終端用戶)，COVID-19影響的分析，成長可能性，地區預測，競爭的市場佔有率，預測(2023年～2032年)

Enterprise Asset Management (EAM) Market Size By Component, By Deployment Model, By Enterprise Size, By Application, By End-user, Growth Potential, Regional Outlook, Competitive Market Share & Forecast, 2023 - 2032
出版日期: | 出版商: Global Market Insights Inc. | 英文 270 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球企業資產管理(EAM)市場，由於過去的資產管理方法到現代的資產管理的模式轉變，預計2023年～2032年大幅受到牽引。

本報告提供全球企業資產管理(EAM)市場相關調查分析，產業的考察，市場區隔分析，地區分析，企業簡介等資訊。

目錄

第1章 調查手法和範圍

第2章 摘要整理

第3章 企業資產管理(EAM)產業的考察

  • 簡介
  • COVID-19發生的影響
    • 各地區
    • 為了取回COVID前等級的成長的主要企業策略
  • 俄羅斯、烏克蘭戰爭的影響的分析
  • 企業資產管理(EAM)產業的生態系統分析
    • EAM軟體供應商
    • EAM服務供應商
    • EAM資產追蹤硬體設備供應商
    • 系統廠商
    • 終端用戶
    • 流通管道
    • 報酬率分析
    • 供應商矩陣
  • 技術和革新的形勢
    • 行動工作者功能
    • MR
    • IoT支援資產
    • 機器學習
  • 專利分析
  • 投資組合
  • 主要消息和舉措
  • 法規形勢
    • 北美
    • 歐洲
    • 亞太地區
    • 南美
    • 中東、非洲
  • 產業的影響因素
    • 成長促進因素
    • 產業的潛在的風險、課題
  • 成長可能性分析
  • 波特的五力分析
  • PESTEL分析

第4章 競爭情形(2022年)

  • 簡介
  • 企業的市場佔有率:各收益(2022年)
    • 主要企業的競爭的分析(2022年)
    • 市場創新者的競爭的分析(2022年)
    • 供應商採用矩陣
    • 策略性預測矩陣

第5章 企業資產管理(EAM)市場:各零件

  • 主要趨勢:各零件
  • 解決方案
    • 市場估計與預測(2018年～2032年)
    • 資產生命週期管理
    • 預知保全
    • 工作指示管理
    • 勞動管理
    • 設施管理
    • 庫存管理
  • 服務
    • 市場估計與預測(2018年～2032年)
    • 專業服務
    • 管理服務

第6章 各企業資產管理(EAM)市場:部署模式

  • 各主要趨勢:部署模式
  • 內部部署
  • 雲端

第7章 企業資產管理(EAM)市場:各企業規模

  • 主要趨勢:各企業規模
  • 大企業
  • 中小企業

第8章 企業資產管理(EAM)市場:各用途

  • 主要趨勢:各用途
  • 資產的MRO
  • 線形資產
  • 非線性資產
  • 現場服務管理

第9章 企業資產管理(EAM)市場:各終端用戶

  • 主要趨勢:各終端用戶
  • 能源、公共事業
  • 製造
  • IT、通訊
  • 醫療
  • 石油、天然氣
  • 運輸、物流
  • 政府、公共部門
  • 其他

第10章 企業資產管理(EAM)市場:各地區

  • 主要趨勢:各地區
  • 北美
    • 市場估計與預測(2018年～2032年)
    • 市場估計與預測:各零件(2018年～2032年)
    • 市場估計與預測:各部署模式(2018年～2032年)
    • 市場估計與預測:各企業規模(2018年～2032年)
    • 市場估計與預測:各用途(2018年～2032年)
    • 市場估計與預測:各終端用戶(2018年～2032年)
    • 美國
    • 加拿大
  • 歐洲
    • 市場估計與預測(2018年～2032年)
    • 市場估計與預測:各零件(2018年～2032年)
    • 市場估計與預測:各部署模式(2018年～2032年)
    • 市場估計與預測:各企業規模(2018年～2032年)
    • 市場估計與預測:各用途(2018年～2032年)
    • 市場估計與預測:各終端用戶(2018年～2032年)
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
  • 亞太地區
    • 市場估計與預測(2018年～2032年)
    • 市場估計與預測:各零件(2018年～2032年)
    • 市場估計與預測:各部署模式(2018年～2032年)
    • 市場估計與預測:各企業規模(2018年～2032年)
    • 市場估計與預測:各用途(2018年～2032年)
    • 市場估計與預測:各終端用戶(2018年～2032年)
    • 中國
    • 印度
    • 日本
    • 東南亞
    • 韓國
    • 澳洲、紐西蘭
  • 南美
    • 市場估計與預測(2018年～2032年)
    • 市場估計與預測:各零件(2018年～2032年)
    • 市場估計與預測:各部署模式(2018年～2032年)
    • 市場估計與預測:各企業規模(2018年～2032年)
    • 市場估計與預測:各用途(2018年～2032年)
    • 市場估計與預測:各終端用戶(2018年～2032年)
    • 巴西
    • 墨西哥
    • 阿根廷
    • 哥倫比亞
  • 中東、非洲
    • 市場估計與預測(2018年～2032年)
    • 市場估計與預測:各零件(2018年～2032年)
    • 市場估計與預測:各部署模式(2018年～2032年)
    • 市場估計與預測:各企業規模(2018年～2032年)
    • 市場估計與預測:各用途(2018年～2032年)
    • 市場估計與預測:各終端用戶(2018年～2032年)
    • 南非
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯
    • 以色列

第11章 企業簡介

  • Alibaba Group Holding Limited
  • ABB Ltd
  • Aptean, Inc.
  • Asset Infinity
  • Aveva Group Plc
  • Assetpanda
  • Assetworks LLC
  • CGI Group Inc.
  • Cheqroom NV
  • Emaint
  • Ezmaintain.com
  • EZOfficeInventory
  • Fleetio
  • IBM Corporation
  • IFS AB
  • Infor
  • Intelligent Process Solutions
  • KloudGin Inc.
  • Maintenance Connection Inc.
  • Oracle Corporation
  • SAP SE
  • Ramco Systems Ltd.
  • RCS Tech LLP
  • Ultimo Software Solutions BV
  • UpKeep Technologies Inc.
簡介目錄
Product Code: 5149

Global Enterprise Asset Management (EAM) Market is set to witness substantial traction between 2023 and 2032, primarily owing to a paradigm shift from legacy asset management methods to modern asset management. Modern asset management solutions are being largely adopted owning to their positive attributes including time saving and reduced dependency on human labor.

Moreover, key market providers in the EAM industry are also strengthening their market positions by expanding their portfolios and engaging in mergers, acquisitions, and joint ventures. To cite an instance, in January 2023, Goldman Sachs Asset Management announced the acquisition of Cprime, under its partnership with Everstone Capital Partners. As per reports, this acquisition will strengthen Cprime's position as a provider of digital technology across the market.

In yet another instance, in January 2023, NPRA commissioned Trimble's AgileAssets to maintain, operate, and manage Norway's 10,600-kilometer road network and other transportation infrastructure. Besides, as per reports, with Trimble's AgileAssets and Quadri, the company will be able to meet the increasing customer demands by leveraging connected data to improve performance.

Overall, the EAM market has been segmented in terms of component, solution, service, deployment model, enterprise size, application, end-user, and region.

Based on the component, the service segment is anticipated to grow significantly and would reach a more than 37% market share through 2032. The segmental growth can be credited to the rising demand for professional and managed asset maintenance services across various industries. Besides, contemporary EAM solutions also offer other benefits including cost-effectiveness and optimized processes, benefitting industries.

On the basis of the solution, the enterprise asset management market is likely to be characterized by the work order management segment, which will witness significant growth through 2023-2032. The sectoral growth will be driven by the increasing requirement for automation of maintenance and repair work by various organizations.

Considering the application, the market size from asset MRO segment is speculated to exhibit more than 8.5% CAGR over the next ten years. Enterprise asset management services are used to maintain infrastructure efficacy, operational processes, and in the production of service or a product.

In terms of end-user, the IT & Telecom segment is set to witness substantial growth through 2023-2032. The segmental expansion will be driven by the growing adoption of EAM services by the telecom sector, as they ensure optimum efficiency, cost control, and productivity.

In the regional context, the enterprise asset management market in the Asia Pacific region is anticipated to grow at more than 12% CAGR by 2032. The regional market progression will be driven by the increasing adoption of industry 4.0 by the manufacturing, automotive, and engineering sectors, owing to the product benefits such as compliance, efficiency, and transparency.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Market definitions
  • 1.2 Base estimates & forecast
  • 1.3 Forecast calculations
  • 1.4 Data Sources
    • 1.4.1 Secondary
    • 1.4.2 Primary
  • 1.5 Industry Glossary

Chapter 2 Executive Summary

  • 2.1 Enterprise Asset Management (EAM) industry 360 degree synopsis, 2018 - 2032
  • 2.2 Business trends
    • 2.2.1 Total addressable market (TAM) trends, 2023 - 2032
  • 2.3 Regional trends
  • 2.4 Component trends
  • 2.5 Deployment Model trends
  • 2.6 Enterprise Size trends
  • 2.7 Application trends
  • 2.8 End-user trends

Chapter 3 Enterprise Asset Management (EAM) Industry Insights

  • 3.1 Introduction
  • 3.2 Impact of COVID-19 outbreak
    • 3.2.1 By region
      • 3.2.1.1 North America
      • 3.2.1.2 Europe
      • 3.2.1.3 Asia Pacific
      • 3.2.1.4 Latin America
      • 3.2.1.5 Middle East & Africa
    • 3.2.2 Strategies by major players to regain pre-COVID level growth
  • 3.3 Impact analysis of Russia-Ukraine war
  • 3.4 Enterprise Asset Management (EAM) industry ecosystem analysis
    • 3.4.1 EAM software providers
    • 3.4.2 EAM service providers
    • 3.4.3 EAM asset tracking hardware providers
    • 3.4.4 System integrators
    • 3.4.5 End-user
    • 3.4.6 Distribution Channel
    • 3.4.7 Profit margin analysis
    • 3.4.8 Vendor matrix
  • 3.5 Technology & innovation landscape
    • 3.5.1 Mobile workforce functionality
    • 3.5.2 Mixed reality
    • 3.5.3 IoT-enabled assets
    • 3.5.4 Machine learning
  • 3.6 Patent analysis
  • 3.7 Investment portfolio
  • 3.8 Key news & initiatives
  • 3.9 Regulatory landscape
    • 3.9.1 North America
    • 3.9.2 Europe
    • 3.9.3 Asia Pacific
    • 3.9.4 Latin America
    • 3.9.5 MEA
  • 3.10 Industry impact forces
    • 3.10.1 Growth drivers
      • 3.10.1.1 Increasing shift from legacy asset management method to modern asset management by enterprises
      • 3.10.1.2 Rising popularity of SaaS-based EAM solution
      • 3.10.1.3 Increased usage of IoT platform and devices to manage enterprise assets
      • 3.10.1.4 Convergence of technologies as AI, IoT and analytics
      • 3.10.1.5 Increase in mobility usage among end-users
    • 3.10.2 Industry pitfalls & challenges
      • 3.10.2.1 Stringent regulatory compliance
      • 3.10.2.2 Concern over data security and cybersecurity challenges
  • 3.11 Growth potential analysis
  • 3.12 Porter's analysis
    • 3.12.1 Bargaining power of suppliers
    • 3.12.2 Bargaining power of buyers
    • 3.12.3 The threat of new entrants
    • 3.12.4 The threat of substitute
    • 3.12.5 Competitive rivalry
  • 3.13 PESTEL analysis
    • 3.13.1 Political
    • 3.13.2 Economic
    • 3.13.3 Social
    • 3.13.4 Technological
    • 3.13.5 Legal
    • 3.13.6 Environmental

Chapter 4 Competitive Landscape, 2022

  • 4.1 Introduction
  • 4.2 Company market share, by revenue, 2022
    • 4.2.1 Competitive analysis of major players, 2022
      • 4.2.1.1 Infor
      • 4.2.1.2 IFS AB
      • 4.2.1.3 IBM Corporation
      • 4.2.1.4 SAP SE
      • 4.2.1.5 ABB Ltd.
      • 4.2.1.6 Oracle Corporation
    • 4.2.2 Competitive analysis of market innovators, 2022
      • 4.2.2.1 CGI Group Inc.
      • 4.2.2.2 Aveva Group Plc
      • 4.2.2.3 Aptean
      • 4.2.2.4 Intelligent Process Solutions
      • 4.2.2.5 AssetWorks, LLC
    • 4.2.3 Vendor adoption matrix
    • 4.2.4 Strategic outlook matrix

Chapter 5 Enterprise Asset Management (EAM) Market, By Component

  • 5.1 Key trends, by component
  • 5.2 Solution
    • 5.2.1 Market estimates and forecast, 2018 - 2032
    • 5.2.2 Asset Lifecycle Management
      • 5.2.2.1 Market estimates and forecast, 2018 - 2032
    • 5.2.3 Predictive Maintenance
      • 5.2.3.1 Market estimates and forecast, 2018 - 2032
    • 5.2.4 Work Order Management
      • 5.2.4.1 Market estimates and forecast, 2018 - 2032
    • 5.2.5 Labor Management
      • 5.2.5.1 Market estimates and forecast, 2018 - 2032
    • 5.2.6 Facility Management
      • 5.2.6.1 Market estimates and forecast, 2018 - 2032
    • 5.2.7 Inventory Management
      • 5.2.7.1 Market estimates and forecast, 2018 - 2032
  • 5.3 Service
    • 5.3.1 Market estimates and forecast, 2018 - 2032
    • 5.3.2 Professional Services
      • 5.3.2.1 Market estimates and forecast, 2018 - 2032
    • 5.3.3 Managed Services
      • 5.3.3.1 Market estimates and forecast, 2018 - 2032

Chapter 6 Enterprise Asset Management (EAM) Market, By Deployment Model

  • 6.1 Key trends, by deployment model
  • 6.2 On-premise
    • 6.2.1 Market estimates and forecast, 2018 - 2032
  • 6.3 Cloud
    • 6.3.1 Market estimates and forecast, 2018 - 2032

Chapter 7 Enterprise Asset Management (EAM) Market, By Enterprise Size

  • 7.1 Key trends, by enterprise size
  • 7.2 Large Enterprises
    • 7.2.1 Market estimates and forecast, 2018 - 2032
  • 7.3 SMEs
    • 7.3.1 Market estimates and forecast, 2018 - 2032

Chapter 8 Enterprise Asset Management (EAM) Market, By Application

  • 8.1 Key trends, by application
  • 8.2 Asset MRO
    • 8.2.1 Market estimates and forecast, 2018 - 2032
  • 8.3 Linear Assets
    • 8.3.1 Market estimates and forecast, 2018 - 2032
  • 8.4 Non-Linear Assets
    • 8.4.1 Market estimates and forecast, 2018 - 2032
  • 8.5 Field Service Management
    • 8.5.1 Market estimates and forecast, 2018 - 2032

Chapter 9 Enterprise Asset Management (EAM) Market, By End-user

  • 9.1 Key trends, by end-user
  • 9.2 Energy & Utilities
    • 9.2.1 Market estimates and forecast, 2018 - 2032
  • 9.3 Manufacturing
    • 9.3.1 Market estimates and forecast, 2018 - 2032
  • 9.4 IT & Telecom
    • 9.4.1 Market estimates and forecast, 2018 - 2032
  • 9.5 Healthcare
    • 9.5.1 Market estimates and forecast, 2018 - 2032
  • 9.6 Oil & Gas
    • 9.6.1 Market estimates and forecast, 2018 - 2032
  • 9.7 Transportation and Logistics
    • 9.7.1 Market estimates and forecast, 2018 - 2032
  • 9.8 Government & Public Sector
    • 9.8.1 Market estimates and forecast, 2018 - 2032
  • 9.9 Others
    • 9.9.1 Market estimates and forecast, 2018 - 2032

Chapter 10 Enterprise Asset Management (EAM) Market, By Region

  • 10.1 Key trends, by region
  • 10.2 North America
    • 10.2.1 Market estimates and forecast, 2018 - 2032
    • 10.2.2 Market estimates and forecast, by Component, 2018 - 2032
      • 10.2.2.1 Market estimates and forecast, by Solution, 2018 - 2032
      • 10.2.2.2 Market estimates and forecast, by Service, 2018 - 2032
    • 10.2.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
    • 10.2.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
    • 10.2.5 Market estimates and forecast, by Application, 2018 - 2032
    • 10.2.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.2.7 U.S.
      • 10.2.7.1 Market estimates and forecast, 2018 - 2032
      • 10.2.7.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.2.7.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.2.7.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.2.7.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.2.7.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.2.7.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.2.7.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.2.8 Canada
      • 10.2.8.1 Market estimates and forecast, 2018 - 2032
      • 10.2.8.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.2.8.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.2.8.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.2.8.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.2.8.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.2.8.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.2.8.6 Market estimates and forecast, by End-user, 2018 - 2032
  • 10.3 Europe
    • 10.3.1 Market estimates and forecast, 2018 - 2032
    • 10.3.2 Market estimates and forecast, by Component, 2018 - 2032
      • 10.3.2.1 Market estimates and forecast, by Solution, 2018 - 2032
      • 10.3.2.2 Market estimates and forecast, by Service, 2018 - 2032
    • 10.3.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
    • 10.3.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
    • 10.3.5 Market estimates and forecast, by Application, 2018 - 2032
    • 10.3.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.3.7 UK
      • 10.3.7.1 Market estimates and forecast, 2018 - 2032
      • 10.3.7.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.3.7.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.3.7.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.3.7.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.3.7.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.3.7.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.3.7.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.3.8 Germany
      • 10.3.8.1 Market estimates and forecast, 2018 - 2032
      • 10.3.8.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.3.8.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.3.8.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.3.8.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.3.8.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.3.8.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.3.8.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.3.9 France
      • 10.3.9.1 Market estimates and forecast, 2018 - 2032
      • 10.3.9.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.3.9.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.3.9.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.3.9.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.3.9.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.3.9.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.3.9.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.3.10 Italy
      • 10.3.10.1 Market estimates and forecast, 2018 - 2032
      • 10.3.10.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.3.10.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.3.10.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.3.10.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.3.10.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.3.10.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.3.10.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.3.11 Spain
      • 10.3.11.1 Market estimates and forecast, 2018 - 2032
      • 10.3.11.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.3.11.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.3.11.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.3.11.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.3.11.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.3.11.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.3.11.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.3.12 Netherlands
      • 10.3.12.1 Market estimates and forecast, 2018 - 2032
      • 10.3.12.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.3.12.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.3.12.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.3.12.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.3.12.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.3.12.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.3.12.6 Market estimates and forecast, by End-user, 2018 - 2032
  • 10.4 Asia Pacific
    • 10.4.1 Market estimates and forecast, 2018 - 2032
    • 10.4.2 Market estimates and forecast, by Component, 2018 - 2032
      • 10.4.2.1 Market estimates and forecast, by Solution, 2018 - 2032
      • 10.4.2.2 Market estimates and forecast, by Service, 2018 - 2032
    • 10.4.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
    • 10.4.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
    • 10.4.5 Market estimates and forecast, by Application, 2018 - 2032
    • 10.4.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.4.7 China
      • 10.4.7.1 Market estimates and forecast, 2018 - 2032
      • 10.4.7.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.4.7.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.4.7.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.4.7.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.4.7.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.4.7.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.4.7.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.4.8 India
      • 10.4.8.1 Market estimates and forecast, 2018 - 2032
      • 10.4.8.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.4.8.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.4.8.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.4.8.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.4.8.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.4.8.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.4.8.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.4.9 Japan
      • 10.4.9.1 Market estimates and forecast, 2018 - 2032
      • 10.4.9.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.4.9.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.4.9.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.4.9.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.4.9.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.4.9.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.4.9.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.4.10 Southeast Asia
      • 10.4.10.1 Market estimates and forecast, 2018 - 2032
      • 10.4.10.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.4.10.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.4.10.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.4.10.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.4.10.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.4.10.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.4.10.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.4.11 South Korea
      • 10.4.11.1 Market estimates and forecast, 2018 - 2032
      • 10.4.11.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.4.11.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.4.11.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.4.11.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.4.11.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.4.11.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.4.11.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.4.12 ANZ
      • 10.4.12.1 Market estimates and forecast, 2018 - 2032
      • 10.4.12.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.4.12.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.4.12.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.4.12.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.4.12.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.4.12.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.4.12.6 Market estimates and forecast, by End-user, 2018 - 2032
  • 10.5 Latin America
    • 10.5.1 Market estimates and forecast, 2018 - 2032
    • 10.5.2 Market estimates and forecast, by Component, 2018 - 2032
      • 10.5.2.1 Market estimates and forecast, by Solution, 2018 - 2032
      • 10.5.2.2 Market estimates and forecast, by Service, 2018 - 2032
    • 10.5.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
    • 10.5.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
    • 10.5.5 Market estimates and forecast, by Application, 2018 - 2032
    • 10.5.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.5.7 Brazil
      • 10.5.7.1 Market estimates and forecast, 2018 - 2032
      • 10.5.7.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.5.7.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.5.7.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.5.7.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.5.7.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.5.7.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.5.7.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.5.8 Mexico
      • 10.5.8.1 Market estimates and forecast, 2018 - 2032
      • 10.5.8.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.5.8.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.5.8.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.5.8.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.5.8.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.5.8.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.5.8.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.5.9 Argentina
      • 10.5.9.1 Market estimates and forecast, 2018 - 2032
      • 10.5.9.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.5.9.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.5.9.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.5.9.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.5.9.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.5.9.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.5.9.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.5.10 Colombia
      • 10.5.10.1 Market estimates and forecast, 2018 - 2032
      • 10.5.10.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.5.10.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.5.10.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.5.10.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.5.10.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.5.10.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.5.10.6 Market estimates and forecast, by End-user, 2018 - 2032
  • 10.6 MEA
    • 10.6.1 Market estimates and forecast, 2018 - 2032
    • 10.6.2 Market estimates and forecast, by Component, 2018 - 2032
      • 10.6.2.1 Market estimates and forecast, by Solution, 2018 - 2032
      • 10.6.2.2 Market estimates and forecast, by Service, 2018 - 2032
    • 10.6.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
    • 10.6.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
    • 10.6.5 Market estimates and forecast, by Application, 2018 - 2032
    • 10.6.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.6.7 South Africa
      • 10.6.7.1 Market estimates and forecast, 2018 - 2032
      • 10.6.7.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.6.7.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.6.7.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.6.7.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.6.7.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.6.7.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.6.7.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.6.8 UAE
      • 10.6.8.1 Market estimates and forecast, 2018 - 2032
      • 10.6.8.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.6.8.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.6.8.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.6.8.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.6.8.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.6.8.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.6.8.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.6.9 Saudi Arabia
      • 10.6.9.1 Market estimates and forecast, 2018 - 2032
      • 10.6.9.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.6.9.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.6.9.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.6.9.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.6.9.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.6.9.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.6.9.6 Market estimates and forecast, by End-user, 2018 - 2032
    • 10.6.10 Israel
      • 10.6.10.1 Market estimates and forecast, 2018 - 2032
      • 10.6.10.2 Market estimates and forecast, by Component, 2018 - 2032
        • 10.6.10.2.1 Market estimates and forecast, by Solution, 2018 - 2032
        • 10.6.10.2.2 Market estimates and forecast, by Service, 2018 - 2032
      • 10.6.10.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
      • 10.6.10.4 Market estimates and forecast, by Enterprise Size, 2018 - 2032
      • 10.6.10.5 Market estimates and forecast, by Application, 2018 - 2032
      • 10.6.10.6 Market estimates and forecast, by End-user, 2018 - 2032

Chapter 11 Company Profiles

  • 11.1 Alibaba Group Holding Limited
    • 11.1.1 Business Overview
    • 11.1.2 Financial Data
    • 11.1.3 Product Landscape
    • 11.1.4 Strategic Outlook
    • 11.1.5 SWOT Analysis
  • 11.2 ABB Ltd
    • 11.2.1 Business Overview
    • 11.2.2 Financial Data
    • 11.2.3 Product Landscape
    • 11.2.4 Strategic Outlook
    • 11.2.5 SWOT Analysis
  • 11.3 Aptean, Inc.
    • 11.3.1 Business Overview
    • 11.3.2 Financial Data
    • 11.3.3 Product Landscape
    • 11.3.4 Strategic Outlook
    • 11.3.5 SWOT Analysis
  • 11.4 Asset Infinity
    • 11.4.1 Business Overview
    • 11.4.2 Financial Data
    • 11.4.3 Product Landscape
    • 11.4.4 Strategic Outlook
    • 11.4.5 SWOT Analysis
  • 11.5 Aveva Group Plc
    • 11.5.1 Business Overview
    • 11.5.2 Financial Data
    • 11.5.3 Product Landscape
    • 11.5.4 Strategic Outlook
    • 11.5.5 SWOT Analysis
  • 11.6 Assetpanda
    • 11.6.1 Business Overview
    • 11.6.2 Financial Data
    • 11.6.3 Product Landscape
    • 11.6.4 Strategic Outlook
    • 11.6.5 SWOT Analysis
  • 11.7 Assetworks LLC
    • 11.7.1 Business Overview
    • 11.7.2 Financial Data
    • 11.7.3 Product Landscape
    • 11.7.4 Strategic Outlook
    • 11.7.5 SWOT Analysis
  • 11.8 CGI Group Inc.
    • 11.8.1 Business Overview
    • 11.8.2 Financial Data
    • 11.8.3 Product Landscape
    • 11.8.4 Strategic Outlook
    • 11.8.5 SWOT Analysis
  • 11.9 Cheqroom NV
    • 11.9.1 Business Overview
    • 11.9.2 Financial Data
    • 11.9.3 Product Landscape
    • 11.9.4 Strategic Outlook
    • 11.9.5 SWOT Analysis
  • 11.10 Emaint
    • 11.10.1 Business Overview
    • 11.10.2 Financial Data
    • 11.10.3 Product Landscape
    • 11.10.4 Strategic Outlook
    • 11.10.5 SWOT Analysis
  • 11.11 Ezmaintain.com
    • 11.11.1 Business Overview
    • 11.11.2 Financial Data
    • 11.11.3 Product Landscape
    • 11.11.4 Strategic Outlook
    • 11.11.5 SWOT Analysis
  • 11.12 EZOfficeInventory
    • 11.12.1 Business Overview
    • 11.12.2 Financial Data
    • 11.12.3 Product Landscape
    • 11.12.4 Strategic Outlook
    • 11.12.5 SWOT Analysis
  • 11.13 Fleetio
    • 11.13.1 Business Overview
    • 11.13.2 Financial Data
    • 11.13.3 Product Landscape
    • 11.13.4 Strategic Outlook
    • 11.13.5 SWOT Analysis
  • 11.14 IBM Corporation
    • 11.14.1 Business Overview
    • 11.14.2 Financial Data
    • 11.14.3 Product Landscape
    • 11.14.4 Strategic Outlook
    • 11.14.5 SWOT Analysis
  • 11.15 IFS AB
    • 11.15.1 Business Overview
    • 11.15.2 Financial Data
    • 11.15.3 Product Landscape
    • 11.15.4 Strategic Outlook
    • 11.15.5 SWOT Analysis
  • 11.16 Infor
    • 11.16.1 Business Overview
    • 11.16.2 Financial Data
    • 11.16.3 Product Landscape
    • 11.16.4 Strategic Outlook
    • 11.16.5 SWOT Analysis
  • 11.17 Intelligent Process Solutions
    • 11.17.1 Business Overview
    • 11.17.2 Financial Data
    • 11.17.3 Product Landscape
    • 11.17.4 Strategic Outlook
    • 11.17.5 SWOT Analysis
  • 11.18 KloudGin Inc.
    • 11.18.1 Business Overview
    • 11.18.2 Financial Data
    • 11.18.3 Product Landscape
    • 11.18.4 Strategic Outlook
    • 11.18.5 SWOT Analysis
  • 11.19 Maintenance Connection Inc.
    • 11.19.1 Business Overview
    • 11.19.2 Financial Data
    • 11.19.3 Product Landscape
    • 11.19.4 Strategic Outlook
    • 11.19.5 SWOT Analysis
  • 11.20 Oracle Corporation
    • 11.20.1 Business Overview
    • 11.20.2 Financial Data
    • 11.20.3 Product Landscape
    • 11.20.4 Strategic Outlook
    • 11.20.5 SWOT Analysis
  • 11.21 SAP SE
    • 11.21.1 Business Overview
    • 11.21.2 Financial Data
    • 11.21.3 Product Landscape
    • 11.21.4 Strategic Outlook
    • 11.21.5 SWOT Analysis
  • 11.22 Ramco Systems Ltd.
    • 11.22.1 Business Overview
    • 11.22.2 Financial Data
    • 11.22.3 Product Landscape
    • 11.22.4 Strategic Outlook
    • 11.22.5 SWOT Analysis
  • 11.23 RCS Tech LLP
    • 11.23.1 Business Overview
    • 11.23.2 Financial Data
    • 11.23.3 Product Landscape
    • 11.23.4 Strategic Outlook
    • 11.23.5 SWOT Analysis
  • 11.24 Ultimo Software Solutions BV
    • 11.24.1 Business Overview
    • 11.24.2 Financial Data
    • 11.24.3 Product Landscape
    • 11.24.4 Strategic Outlook
    • 11.24.5 SWOT Analysis
  • 11.25 UpKeep Technologies Inc.
    • 11.25.1 Business Overview
    • 11.25.2 Financial Data
    • 11.25.3 Product Landscape
    • 11.25.4 Strategic Outlook
    • 11.25.5 SWOT Analysis