Global Data Warehousing Market to Grow at a CAGR of 10.2% During 2024-2032, Aided by the Increasing Amount of Data Generation

A data warehouse is a relational database designed for analysing and processing queries, primarily utilised by businesses due to its ability to handle massive-scale data. It stores information from past transactions and various heterogeneous sources, allowing organisations to improve data quality and enhance decision-making capabilities. Businesses leverage data warehousing to provide advanced business intelligence solutions to end-users, gaining a competitive edge in the market.

The expansion of the data warehousing market is attributed to the introduction of cloud technologies, providing optimised architecture for enhanced capacity. Cloud-based data warehousing is increasingly adopted due to budget constraints and time efficiency compared to in-house applications. Cloud solutions minimise overhead costs, offering scalability for processing resources and storage, ensuring cost-effectiveness. Advantages of cloud data warehousing, including support for various data types, on-demand computation, infinite capacity, and competitive pricing models, contribute to its popularity.

North America dominates the market, driven by the demand for real-time analytics and the application of AI in data warehousing. The Asia Pacific region is expected to witness the fastest growth with the increasing presence of multinational companies in countries like India, China, and Japan.

In November 2023, AWS by Amazon.com Inc (NASDAQ: AMZN), unveiled new serverless tools and integrations to enhance data management capabilities. Among the serverless tools in preview are Amazon Aurora Limitless Database and Amazon ElastiCache Serverless, addressing workload size limitations.

In May 2023, Oracle Corp (NYSE: ORCL) introduced breakthrough innovations to its Autonomous Data Warehouse, the industry's first autonomous database designed for analytics workloads. The updates include native multicloud capabilities, open standard-based data sharing, a low-code tool for simplified data integration and analysis, and ultra-fast enterprise storage at low costs for data lakes. These enhancements provide customers with flexibility in rethinking their data warehouse and data lake architectures, eliminating the trade-off between performance and cost.

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Market Breakup by Data Type, Deployment Mode, Organisation Type, Offering, Application, and Region:

• The market is segmented based on data type into structured and unstructured.

• Based on deployment mode, the market is divided into on premise, cloud, and hybrid.

• On the basis of organisation type, the market is categorised into large enterprises and SMEs.

• The market is further segmented on the basis of offering into statistical analysis, data mining tools, ETL solutions, and others.

• The market is categorised based on application into retail, telecom and IT, BFSI, manufacturing, healthcare, government, and others.

• Region-wise, the global market for data warehousing can be divided into North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.

Key Findings of the Report:

• The expansion of the data warehousing market is propelled by factors such as the escalating volume of data generated by companies and the rising demand for Business Intelligence (BI) to gain a competitive advantage.

• The substantial data generated from diverse industries places significant strain on established enterprise infrastructure, prompting the adoption of efficient, portable, and scalable storage technologies for data warehousing.

• Leveraging specialised data analysis and Business Intelligence (BI) software, businesses can offer customers valuable insights. This facilitates enhanced operational performance, robust decision management, improved customer engagement, and improved revenue generation.

• The rise in demand for column-oriented data warehouse solutions, aimed at conducting advanced analytics, is contributing to the market growth. Additionally, there is a growing need for low-latency, real-time views, and analytics on operational data, serving as significant factors propelling the market's growth.

Key Offerings of the Report:

• The EMR report gives an overview of the global data warehousing market for the periods (2018-2023) and (2024-2032).

• The report also offers historical (2018-2023) and forecast (2024-2032) market information for the data type, deployment mode, organisation type, offering, application, and major regions of data warehousing.

• The report analyses the market dynamics, covering the key demand and price indicators in the market, along with providing an assessment of the SWOT and Porter’s Five Forces models.

The major players in the data warehousing market globally are Amazon Web Services, Oracle Corporation, IBM Corporation, Teradata Corporation, Dell Inc., and Cloudera, Inc., among others. The comprehensive report by EMR looks into the market share, capacity, and latest developments like mergers and acquisitions, plant turnarounds, and capacity expansions of major players.

Key Highlights of the Report

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