Technological innovations and adaptations have not only influenced consumer market but has been exploited in enterprise market as well. Business software, more commonly known as enterprise software or Enterprise Application Software (EAS), refers to computer software used in enterprises for their business operations. Integration with other enterprise applications used within the organization deployed on the same network, is the key design principle behind it. Improving productivity and efficiency through functionalities such as information sharing, process automation and complete visibility of all important processes across departments have been the key criteria for enterprise software. Influenced by the benefits offered by the business software, enterprises have been overlooking the high cost involved in licensing, support, flexibility and customization of them.
Enterprise software market has seen a decade of unstoppable growth and is entering into a new era. Major driving forces being growing need to capture, organize and exploit big data, analytics and business intelligence; shift towards cloud computing and enterprise mobility such as bring your own device (BYOD) trend.
EAS types are Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Business Intelligence (BI), Project and Portfolio management (PPM), Enterprise Content Management (ECM), Supply Chain Management (SCM), Web Conferencing and Computer Aided Design (CAD). EAS market is mainly dominated by ERP and CRM. BI is also catching up fast due to upcoming trend towards analytics and business intelligence.
Software as a service (SaaS) and cloud computing has opened new opportunities in the EAS market. Application service providers (ASP) such as Salesforce, SAP cloud solutions, Microsoft office 365, Google Apps, Amazon web services, among others are providing EAS through cloud and thus removing the hassle of installing and maintaining of software on an enterprises’ own infrastructure. Other emerging trends are enhanced platform mobility, real time data analysis and improved fraud detection capabilities.
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