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Global Data Warehousing Market Expected to Reach $34.69 billion by 2025

 
 

quote Asia-Pacific data warehousing market is expected to grow at a highest CAGR in the near future due to increase in adoption of cloud technology and increase in technological developments across different industry verticals such as BFSI, Telecom& IT, and others. quote

Vishwa Gaul
Research Analyst, ICT at Allied Market Research

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According to a recent report published by Allied Market Research, titled,"Data Warehousing Market by Component, Deployment, Organization Size, Analytics Type, and Industry Vertical: Global Opportunity Analysis and Industry Forecast, 2018 - 2025," the global data warehousing market size was valued at $18.61 billion in 2017, and is projected to reach $34.69 billion by 2025, growing at a CAGR of 8.2% from 2018 to 2025.

Increase in need for a dedicated storage system for growing volume of data, rise in demand for column-oriented data warehouse solutions to perform advanced analytics, and need for low-latency, real-time view, and analytics on operational data are some of the key factors that are expected to fuel the growth of the global market. However, complexity of data warehousing solutions are expected to hamper data warehousing market size.

The unstructured data type segment dominated data warehousing market share in 2017, and is projected to maintain its dominance during the forecast period owing to large amount of unstructured data generated and stored in the organizations. However, while doing data warehousing market analysis, it is anticipated that the semi-structured & structured data type segment will witness the highest growth rate during the forecast period.

The hybrid deployment segment is expected to grow at the highest CAGR during the forecast period due to greater prospect to facilitate real business value to the organization through reduced cost. In addition, faster data processing, internal data delivery & handling, efficient resource utilization, and cost-effectiveness of hybrid deployment are some of the advantages offered by this deployment mode, which in turn are anticipated to boost the data warehousing market growth.

The data warehousing market is witnessing the trend of adoption of virtual data warehousing constructed on demand of operational database. Further, the demand for columnar storage is increasing in place of traditional row-oriented data warehousing. In analytics engine is also witnessing an increase in adoption in a data warehousing environment. The emerging trend of data lake remix is anticipated to impact the growth of the market during the forecast period. Further, the improved modern metadata management is also expected to impact market growth positively. Growth in the application of artificial intelligence in data warehousing industry and Hadoop modernization are expected to create lucrative opportunities for this market in the upcoming years. In addition, the progression of programming techniques such as MapReduce and Hadoop together with developments in the storages, memory, and core technology is anticipated to provide several opportunities for data warehousing market in the future.

Key Findings of Data Warehousing Market Study:

  • By type of offering, the extraction, transportation and loading (ETL) solutions segment led the market in terms of revenue in 2017.
  • In 2017, the on-premise segment accounted for the highest revenue in the deployment category.
  • By organization size, SMEs segment is projected to witness highest growth rate during the forecast period.
  • Based on type of data, the unstructured data segment accounted for the highest revenue in 2017.
  • Based on industry verticals, the BFSI segment generated the highest revenue in 2017.
  • Based on region, NorthAmerica led the market in terms of revenue in 2017.

Some of the key players operating in the data warehousing market include Actian Corp, Amazon, Cloudera, Google, IBM Corporation, Microsoft, Oracle Corporation, SAP, Snowflake, and Teradata.

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quote Data Warehousing Market by Type of Offering (Extraction, Transportation & Loading (ETL) Solutions, Statistical Analysis, Data Mining, and Others), Type of Data (Unstructured and Semi-Structured & Structured), Deployment (On-Premise, Cloud, and Hybrid), Organization Size (Small & Medium Sized Enterprises and Large Enterprises), and Industry Vertical (BFSI, Telecom & IT, Government, Manufacturing, Retail, Healthcare, Media & Entertainment, and Others): Global Opportunity Analysis and Industry Forecast, 2018 - 2025 quote

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