Data Warehouse as a Service Market Synopsis:
Data warehouse is the core inventory of information which allows enterprises to make informed decisions. The information stored in data warehouse is sourced from relational database, transaction systems, etc. Market Research Future (MRFR) projects that the global data warehouse as a service (DWaaS) market is set to witness an impressive growth over the next several years.
DWaaS are gaining popularity among data scientists, business analysts, industrialists, and decision-makers. DWaaS utilizes SQL, business intelligence and data analytics for application purpose. The insights from DWaaS allow business to asses and monitor performance. The rise of cloud computing has made a tremendous impact on the Data Warehouse as a Service Market. Most DWaaSs are accessible via cloud servers.
The rising volume of unstructured data is driving the need for effective data management solution, which is creating attractive market opportunities. Service providers are actively focusing on introducing innovative solutions and serviced. In addition, a strong R&D pipeline indicated towards a positive outlook for the market during the review period. Industry trends such as effort on service improvement, increasing merger & acquisition activities, and collaboration & partnerships are also expected to favourably on the market in the forthcoming years. Nevertheless, issues pertaining to data theft and privacy breach remain a major challenge for service providers.
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Data Warehouse as a Service Market Competition Analysis:
Some of the leading companies functioning in the market include Amazon Web Services (US), SAP SE (Germany), IBM Corporation (US), Teradata Corporation (US), Hortonworks (US), Micro Focus (UK), Netavis Software GmbH (Austria), These include Microsoft Corporation (US), Snowflake Inc. (US), Oracle Corporation (US), Actian Corporation (US), Google (US), MarkLogic Corporation (US), Veeva Systems Inc. (US), and AtScale, Inc. (US).
Global Data Warehouse as a Service Market Segmental Analysis:
MRFR’s report includes a detailed segmental analysis of the market on the basis of deployment, application, usage, vertical, organization size and region.
- On the basis of deployment, the market has been segmented into hybrid cloud, public cloud and private. Based on application, key segments include supply chain management, risk and compliance management, fraud detection and threat management, customer analytics, asset management and others.
- Based on usage, the market has been segmented into analytics, reporting and data mining.
- Based on vertical, the market has been segmented into financial services and insurance (BFSI), telecommunication and IT, manufacturing and automotive, travel and hospitality, banking, government and public sector, retail & ecommerce, media and entertainment, healthcare and life sciences and others.
- On the basis of organization size, the market has been segmented into large enterprises and small and medium-sized enterprises.
Data Warehouse as a Service Market Regional Analysis:
Asia Pacific, Europe and North America are among the key regions that have been covered in the report. North America is expected to dominate the global data warehouse as a service market during the forecast period. The North America market is expected to be led by the US, which is home to a large number of service providers.
Early adoption and presence of a cutting-edge infrastructure are other factors that are providing an impetus to the market in North America. Moreover, the region is home to some of the leading technology companies, which puts it at a favourable position. Meanwhile, Europe has emerged as the second largest market for data warehouse as a service.
The BFSI sector in the region is a primary user of DWaaS, which is contributing to the market growth. The APAC DWaaS market is projected to exhibit the highest CAGR during the assessment period. The market growth in the region is mainly driven by factors such as rapid growth of end-use industries, increasing number of internet user and improved network structures.
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