
The global data warehousing market outlook is poised to exhibit a positive transition over the forecast period, given the technology’s ability to efficiently store, manage and analyze enterprise big data. Technologies like Business Intelligence (BI) and conventional systems for database management are being rapidly superseded by data warehousing solutions.
Data warehouses streamline the process of data management and storage by transforming disparate data types into a common format. This standardization process enables the easy storage and retrieval of large data volumes at a much quicker pace, as compared to conventional data management systems.
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The large enterprises segment is expected to grow at a CAGR of over 10% from 2019 to 2025. The increasing volume of enterprise data, high budget, and dedicated IT staff will propel the early adoption of data warehousing solutions among large enterprises. With the development of hybrid deployment models and unstructured data handling tools, large enterprises are expected to significantly increase the usage of data warehousing systems for economic benefits and business growth.
Hybrid solutions in the data warehousing market are expected to grow at a CAGR of over 15% from 2019 to 2025. Hybrid solutions offer efficient integration of on-premise appliances with a cloud platform. This provides enterprises with the flexibility and scalability of cloud-based solutions with additional data security and control. As more enterprises are adopting hybrid solutions to upgrade their existing on-premise data warehousing appliances, the segment will witness a significant market growth over the forecast timeline.
The data mining segment is projected to grow at a CAGR of over 10% over the forecast timeline. Data mining holds great potential for organizations as it helps to analyze critical information in vast volumes of enterprise data. The development of new data mining tools such as parallel processing algorithms and natural language processing systems has profoundly assisted enterprises in critical business applications such as customer segmentation, fraud detection, corporate surveillance, and product research analysis.
North America data warehousing market trends are projected to develop significantly by 2025 with a share of more than 40%. The growth can be accredited to strong ICT infrastructure, rapid adoption of cloud services, and augmenting prevalence of big data analytics. Companies in the region have been moving from traditional data warehouse tools to cloud-based solutions to raise scalability, cost-effectiveness, and to reduce hardware dependency. Presence of a number of key data warehouse vendors such as Oracle, IBM, Google, and Microsoft is also anticipated to drive North America data warehousing market trends.
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The main focus of the companies operating in data warehousing market have been on providing latest services and products to earn hefty revenue share. With the amplifying demand for data warehousing solutions, competitive landscape has been becoming more intense with major vendors have been focusing more on technology development and aggressive pricing to stay ahead of competition. A few of the key participants include IBM, AWS, Google, Oracle Corporation, Microsoft Corporation, etc. Reports predict that data warehousing market is slated to surpass $30 billion by 2025.
List of Charts & Figures from Data Warehousing Market Report:
FIG 1 Industry Segmentation
FIG 2 Data warehousing market, 2014 – 2025 (USD Million)
FIG 3 Data warehousing architecture
FIG 4 Data warehousing ecosystem analysis
FIG 5 Data warehousing evolution
FIG 6 Porter’s analysis
FIG 7 PESTEL analysis
FIG 8 Growth potential
FIG 9 SWOT Analysis, Amazon Web Services (AWS)
FIG 10 SWOT Analysis, 1010DATA
FIG 11 SWOT Analysis, Accur8Software
FIG 12 SWOT Analysis, Actian Corp
FIG 13 SWOT Analysis, AtScale, Inc.
FIG 14 SWOT Analysis, Attunity
FIG 15 SWOT Analysis, Cloudera, Inc.
FIG 16 SWOT Analysis, Dell
FIG 17 SWOT Analysis, Google Inc.
FIG 18 SWOT Analysis, IBM Corporation
FIG 19 SWOT Analysis, Informatica
FIG 20 SWOT Analysis, Microfocus
FIG 21 SWOT Analysis, Microsoft Corporation
FIG 22 SWOT Analysis, MarkLogic Corporation
FIG 23 SWOT Analysis, Netavis Software GmBH
FIG 24 SWOT Analysis, Oracle Corporation
FIG 25 SWOT Analysis, Panoply Ltd.
FIG 26 SWOT Analysis, Pivotal Software, Inc.
FIG 27 SWOT Analysis, SAP SE
FIG 28 SWOT Analysis, Snowflake, Inc.
FIG 29 SWOT Analysis, Teradata
FIG 30 SWOT Analysis, Talend
FIG 31 SWOT Analysis, SAS Institute, Inc.
Some Points From Table Of Content: –
Chapter 6. Data Warehousing Market, By Deployment Model
6.1. Key trends, by deployment model
6.2. On-premise
6.2.1. Market estimates and forecast, 2014 – 2025
6.3. Cloud
6.3.1. Market estimates and forecast, 2014 – 2025
6.4. Hybrid
6.4.1. Market estimates and forecast, 2014 – 2025
Chapter 7. Data Warehousing Market, By Organization Type
7.1. Key trends, by organization type
7.2. Large enterprises
7.2.1. Market estimates and forecast, 2014 – 2025
7.3. SMEs
7.3.1. Market estimates and forecast, 2014 – 2025
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