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Data Warehousing Market Forecast 2020 Growth Drivers, Regional Outlook 2025

Author : Ronak Bora | Published Date : 2020-09-08 

Size of statistical analysis segment in data warehousing market is predicted to expand exponentially over forecast period. Statistical analysis comprises of compilation and analysis of quantitative data stored in a data warehouse, to discover fundamental statistical relationships. Statistical analysis tools have been observing a surge in demand owing to the adoption of these tools among government and research companies for past data analysis and to regulate helpful data patterns. Statistical analysis provides superior data re-usability (data recycling) for various sets of conditions. These conditions enable enterprises to create forecast models and predictive analysis algorithms by making minimal changes in data set.

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Growing demand for effective ways of storage and testing of enterprise big data will help to augment data warehousing market size by 2025. Data warehousing is rapidly substituting conventional database management systems and legacy Business Intelligence (BI) tools. Data warehouses enable storage of disparate data by transmuting and standardizing several data types into one common format. Data warehousing helps to store large data volumes, and which can be retrieved faster in comparison to other operational systems. Huge benefits offered by the technology are offering impetus to the growth of data warehousing industry share.Data warehousing market forecast report predicts that on-premise data warehousing industry trends will be enhanced owing to low network latency and improved security. On-premise data warehouses do not undergo network lags and provide quicker query processing. These systems provide enterprises with improved data security because critical enterprise data is instituted on in-house data centers. Unification of other services is easier with on-premise data warehouse due to the presence of a single server.

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 industry trends.

The Europe data warehousing market held a share of over 20% in 2018. This growth is due to rise in the adoption of cloud computing, hefty government funding in smart cities & IoT, and establishment of data centers in major European cities (Zurich, London, Frankfurt, and Madrid) by several data warehousing vendors. As enterprises in the region are rapidly migrating to cloud-based solutions, the demand for data warehousing will increase due to the flexibility and cost-effectiveness of these solutions.

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 size is slated to surpass $30 billion by 2025.

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Table of Contents (ToC) of the report:

Chapter 1.   Methodology & Scope

1.1.  Methodology

1.1.1. Initial data exploration

1.1.2. Statistical model and forecast

1.1.3. Industry insights and validation

1.1.4. Scope

1.1.5. Definitions

1.1.6. Methodology & forecast parameters

1.2.  Data Sources

1.2.1. Secondary

1.2.2. Primary

Chapter 2.   Executive Summary

2.1.  Data warehousing  industry 360º synopsis, 2014 – 2025

2.2.  Business trends

2.3.  Regional trends

2.4.  Data type trends

2.5.  Deployment model trends

2.6.  Organization type trends

2.7.  Offering trends

2.8.  Application trends

Chapter 3.   Data Warehousing Market Insights

3.1.  Introduction

3.2.  Industry segmentation

3.3.  Industry landscape, 2014 – 2025

3.4.  Data warehousing evolution

3.5.  Data warehousing architecture analysis

3.6.  Data warehousing industry ecosystem analysis

3.7.  Technology & innovation landscape

3.7.1. Integration of Machine Learning (ML) with data warehousing

3.7.2. Technological advancements in Internet-of-Things (IoT)

3.7.3. Proliferation of cloud technology in data warehousing

3.8.  Regulatory landscape

3.8.1. Information Security Technology- Personal Information Security Specification GB/T 35273-2017

3.8.2. General Data Protection Regulation (GDPR), EU

3.8.3. The NIST Special Publication 800-144 - Guidelines on Security and Privacy in Public Cloud Computing, U.S.

3.8.4. The Health Insurance Portability and Accountability Act (HIPAA) of 1996

3.8.5. Secure India National Digital Communications Policy 2018 - Draft

3.8.6. Payment Card Industry Data Security Standard (PCI DSS)- version 3.2.1

3.9.  Industry impact forces

3.9.1. Growth drivers

3.9.1.1.    Rising need of data warehouses for disparate data storage

3.9.1.2.    Growing demand of data mining for BI and data analytics

3.9.1.3.    Increasing use of historical data for enhancing customer experience

3.9.1.4.    Proliferation of cloud technology in data warehousing

3.9.2. Industry pitfalls & challenges

3.9.2.1.    Data rigidity and inefficient architecture

3.9.2.2.    High deployment costs and IT complexity

3.9.2.3.    Threat of data breaches and cyber attacks

3.10.   Porter’s analysis

3.11.   PESTEL analysis

3.12.   Growth potential analysis

Browse complete Table of Contents (ToC) of this research report @ https://www.gminsights.com/toc/detail/data-warehousing-market

About Author

Ronak Bora

Ronak Bora

A graduate in Electronics Engineering, Ronak writes for fractovia and carries a rich experience in digital marketing, exploring how the online world works from a technical and marketing perspective. His other areas of interest include reading, music, and sport. [email protected] | https://twitter.com/RonakBora26

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