Data Warehousing Market Analysis, Statistics, Revenue, Demand, Trend analysis Research Report 2025
データ ウェアハウジング市場は、2019 年から 2025 年にかけて大幅な成長が見込まれています。このテクノロジーにより、エンタープライズ ビッグ データの効率的なストレージと分析が可能になるからです。このテクノロジは、従来のビジネス インテリジェンス (BI) ツールや従来のデータベース管理システムに急速に取って代わりつつあります。データ ウェアハウスは、さまざまなデータ型を 1 つの共通形式に変換および標準化することにより、異種データの格納を容易にします。大量のデータは、運用システムと比較して、データ ウェアハウスからはるかに迅速に格納および取得できます。
Data warehousing market share has been experiencing exponential growth due to the need for efficient storage and analysis of enterprise big data. The mechanism facilitates electronic storage of large amount of information by a business which is intended for query and analysis other than transaction processing. The technology is reportedly replacing the conventional Business intelligence (BI) tools and traditional database management systems.
Data warehousing allows the storage of various types of data by transforming it from standardized formats into one common format. Global data warehousing market size is projected to exceed total valuation of USD 30 billion by 2025. Some of the benefits rendered by this mechanism include competitive advantage, high returns on investment, cost-effective decision making, enhanced enterprise intelligence and increased productivity of corporate decision-makers.
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Surging internet penetration across the globe coupled with high data volumes available for analytics will support enterprise decision making. With the companies working towards achieving a competitive advantage, they are experiencing pressure to gain valuable business insights from enterprise big data and transform into a data-centric business. This has led to the adoption of robust and advanced data warehousing solutions, that may be on-premise or cloud-based, in order to facilitate scalability and flexibility.
Growing adoption of technology across various industries has led to research and development in the field. Surging investments in cloud technology and the growing usage of cloud platforms by enterprises will supplement the market penetration. Decreasing costs of components will further boost data warehousing market outlook.
High speed, reliability, cost savings, automatic software integration, and strategic edge are some of the pivotal factors steering the adoption of cloud computing services across enterprises. Moreover, cloud-based data warehouse structures can perform highly complex analytical queries at a faster speed as they use efficient parallel processing algorithms.
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With the need to have a robust data structure across various industries in both developed and developing economies, several manufacturing enterprises are making proliferating investments in IIoT. They are also integrating production management techniques with data warehousing solutions in order to provide accurate and reliable production planning.
In February 2019, German automobile manufacturer Daimler AG installed in-house warehouses named eXtollo. The technology-assisted Daimler in integrating IoT data with its production planning system to control material wastage, reduce expenditure and cut down on production times.
In terms of application spectrum, manufacturing data warehousing market will showcase a notable CAGR of more than 15% over the forecasted timeframe owing to the rise of Industry 4.0 and the rising trend of cyber-physical systems in the production facilities leading to huge data generation. Since inventory planning and enhanced production mechanism is integral to any enterprise operating in the manufacturing sector, the need for robust data warehousing is extremely essential for the business.
Lately, Internet of Things is witnessing widespread use in various applications such as smart grids, industrial internet, wearables, smart home mechanisms and smart cities among various others. IIoT is a way to digitally transform the manufacturing industry by employing a network of sensors to collect critical production data and also uses software to convert data into valuable insights.
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Regionally, North America is likely to lead the data warehousing market size by the year 2025, accounting for a share of more than 40% owing to the burgeoning adoption of cloud services and the presence of a robust ICT infrastructure. In July 2017, Sierra Pacific – a leading U.S. based mortgage bank migrated to Microsoft’s cloud-based data warehouse.
In just two months of use the data warehousing solution helped the bank in reducing over 25 different analytics reports to only two business intelligence dashboards, reducing the risk assessment time associated with the mortgage and tracking the deadlines of the loans. The establishment of major data warehouse vendors in the region such as Oracle, Google, Microsoft, and IBM will positively influence the U.S. data warehousing industry share.
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