Portland, OR, May 07, 2019 (GLOBE NEWSWIRE) -- Increase in need for dedicated storage system for surge in volume of data, rise in demand for column-oriented data warehouse solutions to perform advanced analytics, the need for low-latency, real-time view, and analytics on operational data are some of the major factors that drive the global data warehousing market growth.
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In addition, increase in awareness of enterprises to utilize growth in streams of data from various sources in innovative ways and adoption of modern business intelligence tools by enterprises for which data warehousing is critical, are expected to fuel the growth of the market. Conversely, emerging trend of adopting virtual data warehousing and growing application of AI in data warehouse are expected to provide lucrative opportunities for the growth of the global market.
The global data warehousing market is segmented based on type of offerings, type of data, deployment, organization size, industry verticals, and region. In terms of type of offerings, the market is bifurcated into extraction, transportation and loading (ETL) solutions, statistical analysis, data mining, and others. By type of data, the market is classified into unstructured data and semi structured & structured data. Based on deployment, it is fragmented into on-premise, cloud, and hybrid. Depending on organization size, it is segregated into small and medium-sized enterprises (SMEs) and large enterprises. By industry vertical segment, it is divided into BFSI, telecom & IT, government, manufacturing, retail, healthcare, media & entertainment, and others. Based on region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The global data warehousing market is dominated by key players such as, Actian Corp, Amazon, Cloudera, Google, IBM Corporation, Microsoft, Oracle Corporation, SAP, Snowflake, and Teradata.
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KEY MARKET SEGMENTS:
BY TYPE OF OFFERING
• Extraction, Transportation and Loading (ETL) Solutions
• Statistical Analysis
• Data Mining
• Others
BY TYPE OF DATA:
• Unstructured Data
• Semi-structured & Structured Data
BY DEPLOYMENT:
• On-Premise
• Cloud
• Hybrid
BY ORGANIZATION SIZE:
• Small & Medium Sized Enterprises (SMEs)
• Large Enterprises
BY INDUSTRY VERTICAL:
• BFSI
• Telecom & IT
• Government
• Manufacturing
• Retail
• Healthcare
• Media & Entertainment
• Others
BY REGION
• North America
• Europe
• Asia-Pacific
• LAMEA
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