Enterprise Asset Management (EAM) Market Size By Component (Solution [Asset Lifecycle Management, Predictive Maintenance, Work Order Management, Labor Management, Facility Management, Inventory Management], Service [Professional Service, Managed Service])

Enterprise Asset Management (EAM) Market Size By Component (Solution [Asset Lifecycle Management, Predictive Maintenance, Work Order Management, Labor Management, Facility Management, Inventory Management], Service [Professional Service, Managed Service]), By Deployment Model (On-premise, Cloud), By Enterprise Size (Large Enterprises, SMEs), By Application (Linear Assets, Asset MRO, Non-Linear Assets, Field Service Management), By End-user (Energy & Utilities, Manufacturing, IT & Telecom, Healthcare, Oil & Gas, Transportation and Logistics, Government & Public Sector), COVID-19 Impact Analysis, Regional Outlook, Growth Potential, Competitive Market Share & Forecast, 2021 - 2027

The enterprise asset management market is expected to witness substantial growth through 2027 owing to prevalent product demand across varied industry verticals.

Enterprise asset management (EAM), which refers to a combination of systems, services, and software, is utilized to maintain and control operational equipment and assets. EAM is designed to optimize the quality and usage of assets along their lifespan, lower operational costs, and bolster productive uptime.

Recently, key industry players have been implementing strategic initiatives to enhance their market presence, which has positively influenced overall business growth. For instance, in October 2021, Infor, a major company in the EAM space, launched a dedicated multi-tenant cloud offering, dubbed Infor Public Sector, in the UK. Infor Public Sector aims to keep the central and local governments as well as arms-length bodies updated with the latest software releases to offer secure, robust, and easily managed services.

The enterprise asset management market has been segregated on the basis of component, deployment model, organization site, application, end-user, and region. Based on component, the market has further been divided into solution and service.

Under component, the solution segment has been categorized into inventory management, asset lifecycle management, facility management, labor management, predictive maintenance, and work order management. The work order management solution segment held a market share of about 9.2% in 2020 and is estimated to grow at a steady pace over 2021-2027 due to the increasing need for managing business operations.

The labor management segment is projected to expand at a CAGR of above 10% through the assessment timeframe. High product adoption for reducing labor costs while decreasing employee attrition by rewarding efficiency, quality, and safety is set to push segmental growth in the coming years. In 2020, the facility management segment was valued at over USD 500 million in revenue and is calculated to see strong development through 2027 driven by growing investments in the tourism sector.

The service component segment has been divided into managed services and professional services. The professional services segment is anticipated to see substantial growth at approximately 5% CAGR through the analysis period. Surging adoption of Software-as-a-Service (SaaS) or Platform-as-a-Service (PaaS) is likely to support the growth of the segment in the forthcoming years.

The managed services segment held a market share of about 30% in 2020 and is expected to progress at a substantial pace over 2021-2027. Mounting demand for consultation, deployment, integration, and maintenance services is foreseen to facilitate segmental development over the study timeline.

From the application perspective, the enterprise asset management market has been classified into non-linear assets, linear assets, field service management, and asset maintenance, repair and operations (MRO). The non-linear assets segment is calculated to observe robust growth by 2027, delivering a CAGR nearly 10% through the review period, due to soaring product utilization for the management of asset locations, historical information, workflow, and approvals.

By end-user, the enterprise asset management industry has been bifurcated into IT & telecom, energy & utilities, manufacturing, transportation and logistics, government & public sector, healthcare, and oil & gas. In 2020, the healthcare segment held a market share of above 5% and is estimated to observe notable growth over 2021-2027. Increasing implementation of IoT based platform and equipment is set to promote segmental demand through the assessment period.

The IT & telecom segment is expected to witness stable expansion at around 10% CAGR over the analysis timeline. Soaring product usage for tracking and managing connected servers, virtual servers, network equipment, and plotters is foreseen to propel the revenue growth of the segment by 2027.

The government & public sector segment held nearly 5% share in the market in 2020 and is projected to grow at a solid pace over 2021-2027. Booming need to track, reconcile, and maintain the assets and equipment within government & public sector facilities is anticipated to fuel segmental development in the upcoming years.

The enterprise asset management market from the oil & gas segment is estimated to see notable growth by 2027, delivering around 5% CAGR through the study timeframe. Proliferating demand for data-intensive assets, which necessitate smarter production and protection, is likely to stimulate segmental uptake over the following years.

In the regional landscape, the Latin America enterprise asset management industry is calculated to expand significantly at a CAGR of approximately 5% to reach a sizable valuation by the end of 2027. The growing trade industry in LATAM is expected to foster product outlook in the region.

Meanwhile, the Middle East & Africa region accounted for more than 5% of the global enterprise asset management market in terms of revenue in 2020 and is speculated to see considerable growth through 2027. Rising penetration of growing start-ups across the MEA region is slated to bolster regional market expansion over the forecast period.


Chapter 1 Methodology & Scope
1.1 Scope & definitions
1.2 Methodology & forecast parameters
1.3 Region-wise COVID-19 impact analysis
1.3.1 North America
1.3.2 Europe
1.3.3 Asia Pacific
1.3.4 Latin America
1.3.5 Middle East & Africa
1.4 Data Sources
1.4.1 Secondary
1.4.2 Primary
Chapter 2 Executive Summary
2.1 Enterprise asset management industry 360 degree synopsis, 2016 – 2027
2.2 Business trends
2.3 Regional trends
2.4 Component trends
2.5 Deployment model trends
2.6 Enterprise size trends
2.7 Application trends
Chapter 3 Enterprise Asset Management Industry Insights
3.1 Introduction
3.2 Industry segmentation
3.3 Impact of COVID-19 outbreak
3.3.1 Global outlook
3.3.2 By region
3.3.2.1 North America
3.3.2.2 Europe
3.3.2.3 Asia Pacific
3.3.2.4 Latin America
3.3.2.5 Middle East & Africa
3.3.3 Industry value chain
3.3.3.1 Suppliers
3.3.3.2 EAM technology providers
3.3.3.3 Marketing & distribution channels
3.3.4 Competitive landscape
3.3.4.1 Strategy
3.3.4.2 Business growth
3.4 Evolution of EAM
3.5 EAM industry ecosystem analysis
3.5.1 EAM software providers
3.5.2 EAM service providers
3.5.3 Asset tracking hardware providers
3.5.4 System integrators
3.5.5 End users
3.5.6 Distribution channel
3.5.7 Profit margin analysis
3.5.8 Vendor matrix
3.6 Patent analysis
3.7 Investment portfolio
3.8 Technology & innovation landscape
3.8.1 Mobile workforce functionality
3.8.2 Mixed reality
3.8.3 IoT-enabled assets
3.8.4 Machine learning
3.9 Regulatory landscape
3.9.1 North America
3.9.1.1 Facility Management Institute (FMI) By General Services Administration (GSA)
3.9.1.2 Facility Maintenance Policy (Canada Government)
3.9.2 Europe
3.9.2.1 Guide to the Safety, Health and Welfare at Work Act 2005
3.9.2.2 Institute of Workplace and Facilities Management (IWFM)
3.9.2.3 British Institute of Facilities Management (BIFM)
3.9.3 Asia Pacific
3.9.3.1 National Building Code of India 2016
3.9.3.2 Facilities Management Association of Australia (FMA)
3.9.4 Latin America
3.9.4.1 International Federation of Consulting Engineers (FIDIC) (Brazil)
3.9.4.2 Construction & Engineering Law 2019 (Mexico)
3.9.5 MEA
3.9.5.1 Middle East Facilities Management Association (MEFMA)
3.9.5.2 South African Facilities Management Association (SAFMA)
3.10 Industry impact forces
3.10.1 Growth drivers
3.10.1.1 Increasing shift from legacy asset management methods to modern asset management by enterprises
3.10.1.2 Rising popularity of SaaS-based EAM solutions
3.10.1.3 Increased usage of IoT platforms and devices to manage enterprise assets
3.10.1.4 Convergence of technologies such 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 Concerns over data security and cybersecurity challenges
3.11 Growth potential analysis
3.12 Porter’s analysis
3.13 PESTEL analysis
Chapter 4 Competitive Landscape
4.1 Introduction
4.2 Market share analysis, 2020
4.3 Chart key
4.4 Competitive analysis of key market players, 2020
4.4.1 ABB Ltd
4.4.2 CGI Group Inc.
4.4.3 IBM Corporation
4.4.4 IFS AB
4.4.5 Infor
4.4.6 Oracle Corporation
4.4.7 SAP SE
4.5 Competitive analysis of market innovators, 2020
4.5.1 Aptean
4.5.2 AssetWorks, LLC
4.5.3 AVEVA Group Plc
4.5.4 Intelligent Process Solutions (IPS)
4.5.5 Ramco Systems Ltd.
4.6 Vendor adoption matrix
Chapter 5 Enterprise Asset Management Market, By Component
5.1 Enterprise asset management market share, by component, 2020 & 2027
5.2 Solution
5.2.1 Market estimates and forecast, 2016 - 2027
5.2.2 Asset lifecycle management
5.2.2.1 Market estimates and forecast, 2016 - 2027
5.2.3 Predictive maintenance
5.2.3.1 Market estimates and forecast, 2016 - 2027
5.2.4 Work order management
5.2.4.1 Market estimates and forecast, 2016 - 2027
5.2.5 Labor management
5.2.5.1 Market estimates and forecast, 2016 - 2027
5.2.6 Facility management
5.2.6.1 Market estimates and forecast, 2016 - 2027
5.2.7 Inventory management
5.2.7.1 Market estimates and forecast, 2016 - 2027
5.3 Service
5.3.1 Market estimates and forecast, 2016 – 2027
5.3.2 Professional service
5.3.2.1 Market estimates and forecast, 2016 - 2027
5.3.3 Managed service
5.3.3.1 Market estimates and forecast, 2016 - 2027
Chapter 6 Enterprise Asset Management Market, By Deployment Model
6.1 Enterprise asset management market share, by deployment model, 2020 & 2027
6.2 Public cloud
6.2.1 Market estimates and forecast, 2016 - 2027
6.3 Private cloud
6.3.1 Market estimates and forecast, 2016 – 2027
6.4 Hybrid cloud
6.4.1 Market estimates and forecast, 2016 – 2027
Chapter 7 Enterprise asset management Market, By Enterprise Size
7.1 Enterprise asset management market share, by enterprise size, 2020 & 2027
7.2 Large enterprises
7.2.1 Market estimates and forecast, 2016 - 2027
7.3 SME
7.3.1 Market estimates and forecast, 2016 – 2027
Chapter 8 Enterprise Asset Management Market, By Application
8.1 Enterprise asset management market share, by application, 2020 & 2027
8.2 Asset Maintenance, Repair and Operations (MRO)
8.2.1 Market estimates and forecast, 2016 - 2027
8.3 Linear assets
8.3.1 Market estimates and forecast, 2016 - 2027
8.4 Non-linear assets
8.4.1 Market estimates and forecast, 2016 - 2027
8.5 Field service management
8.5.1 Market estimates and forecast, 2016 – 2027
Chapter 9 Enterprise Asset Management Market, By End-user
9.1 Enterprise asset management market share, by end-user, 2020 & 2027
9.2 Energy & utilities
9.2.1 Market estimates and forecast, 2016 - 2027
9.3 Manufacturing
9.3.1 Market estimates and forecast, 2016 - 2027
9.4 IT & telecom
9.4.1 Market estimates and forecast, 2016 - 2027
9.5 Healthcare
9.5.1 Market estimates and forecast, 2016 - 2027
9.6 Oil & gas
9.6.1 Market estimates and forecast, 2016 - 2027
9.7 Transportation and logistics
9.7.1 Market estimates and forecast, 2016 - 2027
9.8 Government & public sector
9.8.1 Market estimates and forecast, 2016 - 2027
9.9 Others
9.9.1 Market estimates and forecast, 2016 - 2027
Chapter 10 Enterprise Asset Management Market, By Region
10.1 Enterprise asset management market share, by region, 2020 & 2027
10.2 North America
10.2.1 Market estimates and forecast, 2016 – 2027
10.2.2 Market estimates and forecast, by component, 2016 – 2027
10.2.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.2.2.2 Market estimates and forecast, by service, 2016 – 2027
10.2.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.2.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.2.5 Market estimates and forecast, by application, 2016 – 2027
10.2.6 Market estimates and forecast, by end-user, 2016 – 2027
10.2.7 U.S.
10.2.7.1 Market estimates and forecast, 2016 – 2027
10.2.7.2 Market estimates and forecast, by component, 2016 – 2027
10.2.7.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.2.7.2.2 Market estimates and forecast, by service, 2016 – 2027
10.2.7.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.2.7.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.2.7.5 Market estimates and forecast, by application, 2016 – 2027
10.2.7.6 Market estimates and forecast, by end-user, 2016 – 2027
10.2.8 Canada
10.2.8.1 Market estimates and forecast, 2016 – 2027
10.2.8.2 Market estimates and forecast, by component, 2016 – 2027
10.2.8.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.2.8.2.2 Market estimates and forecast, by service, 2016 – 2027
10.2.8.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.2.8.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.2.8.5 Market estimates and forecast, by application, 2016 – 2027
10.2.8.6 Market estimates and forecast, by end-user, 2016 – 2027
10.3 Europe
10.3.1 Market estimates and forecast, 2016 – 2027
10.3.2 Market estimates and forecast, by component, 2016 – 2027
10.3.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.3.2.2 Market estimates and forecast, by service, 2016 – 2027
10.3.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.3.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.3.5 Market estimates and forecast, by application, 2016 – 2027
10.3.6 Market estimates and forecast, by end-user, 2016 – 2027
10.3.7 UK
10.3.7.1 Market estimates and forecast, 2016 – 2027
10.3.7.2 Market estimates and forecast, by component, 2016 – 2027
10.3.7.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.3.7.2.2 Market estimates and forecast, by service, 2016 – 2027
10.3.7.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.3.7.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.3.7.5 Market estimates and forecast, by application, 2016 – 2027
10.3.7.6 Market estimates and forecast, by end-user, 2016 – 2027
10.3.8 Germany
10.3.8.1 Market estimates and forecast, 2016 – 2027
10.3.8.2 Market estimates and forecast, by component, 2016 – 2027
10.3.8.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.3.8.2.2 Market estimates and forecast, by service, 2016 – 2027
10.3.8.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.3.8.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.3.8.5 Market estimates and forecast, by application, 2016 – 2027
10.3.8.6 Market estimates and forecast, by end-user, 2016 – 2027
10.3.9 France
10.3.9.1 Market estimates and forecast, 2016 – 2027
10.3.9.2 Market estimates and forecast, by component, 2016 – 2027
10.3.9.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.3.9.2.2 Market estimates and forecast, by service, 2016 – 2027
10.3.9.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.3.9.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.3.9.5 Market estimates and forecast, by application, 2016 – 2027
10.3.9.6 Market estimates and forecast, by end-user, 2016 – 2027
10.3.10 Italy
10.3.10.1 Market estimates and forecast, 2016 – 2027
10.3.10.2 Market estimates and forecast, by component, 2016 – 2027
10.3.10.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.3.10.2.2 Market estimates and forecast, by service, 2016 – 2027
10.3.10.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.3.10.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.3.10.5 Market estimates and forecast, by application, 2016 – 2027
10.3.10.6 Market estimates and forecast, by end-user, 2016 – 2027
10.3.11 Spain
10.3.11.1 Market estimates and forecast, 2016 – 2027
10.3.11.2 Market estimates and forecast, by component, 2016 – 2027
10.3.11.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.3.11.2.2 Market estimates and forecast, by service, 2016 – 2027
10.3.11.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.3.11.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.3.11.5 Market estimates and forecast, by application, 2016 – 2027
10.3.11.6 Market estimates and forecast, by end-user, 2016 – 2027
10.3.12 Netherlands
10.3.12.1 Market estimates and forecast, 2016 – 2027
10.3.12.2 Market estimates and forecast, by component, 2016 – 2027
10.3.12.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.3.12.2.2 Market estimates and forecast, by service, 2016 – 2027
10.3.12.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.3.12.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.3.12.5 Market estimates and forecast, by application, 2016 – 2027
10.3.12.6 Market estimates and forecast, by end-user, 2016 – 2027
10.4 Asia Pacific
10.4.1 Market estimates and forecast, 2016 – 2027
10.4.2 Market estimates and forecast, by component, 2016 – 2027
10.4.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.4.2.2 Market estimates and forecast, by service, 2016 – 2027
10.4.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.4.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.4.5 Market estimates and forecast, by application, 2016 – 2027
10.4.6 Market estimates and forecast, by end-user, 2016 – 2027
10.4.7 China
10.4.7.1 Market estimates and forecast, 2016 – 2027
10.4.7.2 Market estimates and forecast, by component, 2016 – 2027
10.4.7.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.4.7.2.2 Market estimates and forecast, by service, 2016 – 2027
10.4.7.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.4.7.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.4.7.5 Market estimates and forecast, by application, 2016 – 2027
10.4.7.6 Market estimates and forecast, by end-user, 2016 – 2027
10.4.8 India
10.4.8.1 Market estimates and forecast, 2016 – 2027
10.4.8.2 Market estimates and forecast, by component, 2016 – 2027
10.4.8.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.4.8.2.2 Market estimates and forecast, by service, 2016 – 2027
10.4.8.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.4.8.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.4.8.5 Market estimates and forecast, by application, 2016 – 2027
10.4.8.6 Market estimates and forecast, by end-user, 2016 – 2027
10.4.9 Japan
10.4.9.1 Market estimates and forecast, 2016 – 2027
10.4.9.2 Market estimates and forecast, by component, 2016 – 2027
10.4.9.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.4.9.2.2 Market estimates and forecast, by service, 2016 – 2027
10.4.9.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.4.9.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.4.9.5 Market estimates and forecast, by application, 2016 – 2027
10.4.9.6 Market estimates and forecast, by end-user, 2016 – 2027
10.4.10 South Korea
10.4.10.1 Market estimates and forecast, 2016 – 2027
10.4.10.2 Market estimates and forecast, by component, 2016 – 2027
10.4.10.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.4.10.2.2 Market estimates and forecast, by service, 2016 – 2027
10.4.10.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.4.10.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.4.10.5 Market estimates and forecast, by application, 2016 – 2027
10.4.10.6 Market estimates and forecast, by end-user, 2016 – 2027
10.4.11 Australia & New Zealand (ANZ)
10.4.11.1 Market estimates and forecast, 2016 – 2027
10.4.11.2 Market estimates and forecast, by component, 2016 – 2027
10.4.11.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.4.11.2.2 Market estimates and forecast, by service, 2016 – 2027
10.4.11.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.4.11.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.4.11.5 Market estimates and forecast, by application, 2016 – 2027
10.4.11.6 Market estimates and forecast, by end-user, 2016 – 2027
10.4.12 Singapore
10.4.12.1 Market estimates and forecast, 2016 – 2027
10.4.12.2 Market estimates and forecast, by component, 2016 – 2027
10.4.12.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.4.12.2.2 Market estimates and forecast, by service, 2016 – 2027
10.4.12.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.4.12.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.4.12.5 Market estimates and forecast, by application, 2016 – 2027
10.4.12.6 Market estimates and forecast, by end-user, 2016 – 2027
10.5 Latin America
10.5.1 Market estimates and forecast, 2016 – 2027
10.5.2 Market estimates and forecast, by component, 2016 – 2027
10.5.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.5.2.2 Market estimates and forecast, by service, 2016 – 2027
10.5.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.5.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.5.5 Market estimates and forecast, by application, 2016 – 2027
10.5.6 Market estimates and forecast, by end-user, 2016 – 2027
10.5.7 Brazil
10.5.7.1 Market estimates and forecast, 2016 – 2027
10.5.7.2 Market estimates and forecast, by component, 2016 – 2027
10.5.7.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.5.7.2.2 Market estimates and forecast, by service, 2016 – 2027
10.5.7.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.5.7.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.5.7.5 Market estimates and forecast, by application, 2016 – 2027
10.5.7.6 Market estimates and forecast, by end-user, 2016 – 2027
10.5.8 Mexico
10.5.8.1 Market estimates and forecast, 2016 – 2027
10.5.8.2 Market estimates and forecast, by component, 2016 – 2027
10.5.8.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.5.8.2.2 Market estimates and forecast, by service, 2016 – 2027
10.5.8.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.5.8.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.5.8.5 Market estimates and forecast, by application, 2016 – 2027
10.5.8.6 Market estimates and forecast, by end-user, 2016 – 2027
10.5.9 Argentina
10.5.9.1 Market estimates and forecast, 2016 – 2027
10.5.9.2 Market estimates and forecast, by component, 2016 – 2027
10.5.9.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.5.9.2.2 Market estimates and forecast, by service, 2016 – 2027
10.5.9.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.5.9.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.5.9.5 Market estimates and forecast, by application, 2016 – 2027
10.5.9.6 Market estimates and forecast, by end-user, 2016 – 2027
10.5.10 Colombia
10.5.10.1 Market estimates and forecast, 2016 – 2027
10.5.10.2 Market estimates and forecast, by component, 2016 – 2027
10.5.10.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.5.10.2.2 Market estimates and forecast, by service, 2016 – 2027
10.5.10.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.5.10.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.5.10.5 Market estimates and forecast, by application, 2016 – 2027
10.5.10.6 Market estimates and forecast, by end-user, 2016 – 2027
10.6 MEA
10.6.1 Market estimates and forecast, 2016 – 2027
10.6.2 Market estimates and forecast, by component, 2016 – 2027
10.6.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.6.2.2 Market estimates and forecast, by service, 2016 – 2027
10.6.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.6.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.6.5 Market estimates and forecast, by application, 2016 – 2027
10.6.6 Market estimates and forecast, by end-user, 2016 – 2027
10.6.7 South Africa
10.6.7.1 Market estimates and forecast, 2016 – 2027
10.6.7.2 Market estimates and forecast, by component, 2016 – 2027
10.6.7.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.6.7.2.2 Market estimates and forecast, by service, 2016 – 2027
10.6.7.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.6.7.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.6.7.5 Market estimates and forecast, by application, 2016 – 2027
10.6.7.6 Market estimates and forecast, by end-user, 2016 – 2027
10.6.8 Saudi Arabia
10.6.8.1 Market estimates and forecast, 2016 – 2027
10.6.8.2 Market estimates and forecast, by component, 2016 – 2027
10.6.8.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.6.8.2.2 Market estimates and forecast, by service, 2016 – 2027
10.6.8.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.6.8.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.6.8.5 Market estimates and forecast, by application, 2016 – 2027
10.6.8.6 Market estimates and forecast, by end-user, 2016 – 2027
10.6.9 Israel
10.6.9.1 Market estimates and forecast, 2016 – 2027
10.6.9.2 Market estimates and forecast, by component, 2016 – 2027
10.6.9.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.6.9.2.2 Market estimates and forecast, by service, 2016 – 2027
10.6.9.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.6.9.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.6.9.5 Market estimates and forecast, by application, 2016 – 2027
10.6.9.6 Market estimates and forecast, by end-user, 2016 – 2027
10.6.10 UAE
10.6.10.1 Market estimates and forecast, 2016 – 2027
10.6.10.2 Market estimates and forecast, by component, 2016 – 2027
10.6.10.2.1 Market estimates and forecast, by solution, 2016 – 2027
10.6.10.2.2 Market estimates and forecast, by service, 2016 – 2027
10.6.10.3 Market estimates and forecast, by deployment model, 2016 – 2027
10.6.10.4 Market estimates and forecast, by enterprise size, 2016 – 2027
10.6.10.5 Market estimates and forecast, by application, 2016 – 2027
10.6.10.6 Market estimates and forecast, by end-user, 2016 – 2027
Chapter 11 Company Profiles
11.1 ABB Ltd
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 Aptean
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 AssetInfinity
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 Panda, LLC
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 AssetWorks, LLC
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 AVEVA Group Plc
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 CGI Group Inc.
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 Cheqroom NV
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 eMaint (Fluke Corporation)
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 Ezmaintain.com
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 EZOfficeInventory
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 Fleetio (Rarestep, Inc.)
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 IBM Corporation
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 IFS AB
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 Infor
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 Intelligent Process Solutions (IPS)
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 KloudGin, Inc.
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 Maintenance Connection 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 Oracle Corporation
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 Ramco Systems Ltd.
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 RCS Tech LLP
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 SAP SE
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 Ultimo Software Solutions BV
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 UpKeep Technologies, Inc.
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

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