Cloud engineering is an application of engineering and related technologies of the cloud computing. Cloud computing refers to storing and accessing the data over the internet. It revolves around devising solutions for cloud computing and maintaining the same. Cloud engineering helps in handling business solutions and resources. Management is a key element of cloud engineering. Cloud engineering utilizes the tools and methodology of engineering for developing, operating and maintaining cloud computing systems and solutions. Migration to cloud platforms are increasing as enterprises are generating huge amount of data and complex workloads.
There is an increasing requirements of scalable infrastructure in the organizations that has led the emphasis on the cloud engineering, which has increased the demand for cloud engineering services. This is a major driving factor related to this market as the organizations are able to figure out business opportunities more efficiently through cloud consultants. This is improving the whole process pertaining to the customer handling. Moreover lower costs and growing demand for such a platform has shifted the niche to the benefit of cloud engineering market. As on premises infrastructure is reducing, enterprise resource planning (ERP) is increasingly shifting to cloud platforms for efficient management. This further helps in the form of reduced operational costs and also the administration costs. Enterprises need to perform concept testing before making any huge investments to maintain cost effectiveness. Cloud engineering also reduces the provisioning time required for provisioning the services for business applications. Also, with the rise of IoT, the developments in the field of cloud engineering remain an integral aspect of the same. It also offers a great opportunity for small businesses to handle the management effectively, with the in-depth understanding of the platform. Thus increased requirement of personalized services and rising demand to quicken release cycle time of product are expected to drive the market during the forecast period.
Cloud engineering market may face adversities as the cloud is not suitable for all the applications. The software that require high performance computers such as video editors, a performance intensive application are not suitably operational for the cloud. Cloud outages cannot be controlled sometimes, as the possibility of facing a downtime is almost inevitable. Security issues are a major concern as data breach would compromise all the important and confidential data. There exists inflexibility as end user might not be aware of the compatibility of apps and data transfer process. Customer service on the cloud is time consuming and also has less response time. All such factors are expected to restrain the market growth during the forecast period
Market for cloud engineering can be segmented on the basis of service type, deployment model, service model, organization size, industry vertical and geography. On the basis of service type, market is segmented into cloud storage, training and education, consulting and design, integration and migration, cloud security and others. On the basis of deployment model, the market can be segmented into infrastructure as a service, platform as a service, and software as a service. On the basis of deployment model, the market can be segmented into public cloud, private cloud and hybrid cloud. On the basis of organization size, the market can be segmented into small and medium size enterprises and large size enterprises. On the basis of industry verticals, the market can be segmented into banking, financial services, and insurance (BFSI), education, utilities, government and public sector, healthcare, manufacturing, media and entertainment, retail and consumer goods, IT & telecommunication and others. On the basis of geographic regions, the market is segmented into North America, South America, Europe, Middle East & Africa and Asia Pacific.
Key players for cloud engineering market are Sogeti, Aricent Inc., Engineering Ingegneria Informatica S.p.A, Trianz, Itc Infotech, Infosys Limited, Nitor Infotech, Calsoft Inc., Rapidvalue Solutions, Vvdn Technologies, GFT Technologies Se and Searce Inc.
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