Data Warehousing Market size was estimated at $23,573.8 Million in 2019 and is expected to reach $40,927.9 Million by 2027, growing at a CAGR of 8.2% during the forecast period of 2020 to 2027.
Data Warehousing is the merger of data from various dissimilar sources to generate a better understanding of the business. This data is intelligently sorted and becomes the input for various data analysis tools that tell the stakeholders about aspects of the company that isn’t usually visible. With this understanding, better business decisions are undertaken.
Analysis by Data Type
According to the type of data, there are two broad categories. They are Structured and Unstructured.
The Unstructured data market is bound for a double-digit growth rate in this period. This is because advanced analytics is possible on it and it consists of text-heavy information such as addresses and names. As with any product, the affinity of business users towards Unstructured data type is due to the high quality of business decisions that can be taken around it.
The sheer volume of data availability backed up with software that can handle it will create a domino effect. Besides, the introduction of cloud services will fuel the growth further.
Analysis by Deployment Model
According to the deployment model, they are one of the following: On-premise, Cloud, and Hybrid.
Cloud data warehousing models will experience a wide acceptance which will propel its growth to well into double-digit rates. They have a few advantages over their on-premise counterparts. Some of them are Variable computing speeds, Reduced Capital expense for companies, Support for various types of data, Variable pricing offerings, and virtually unlimited storage. They are starting to sell like hot cakes as even Small and Medium Enterprises are finding them affordable.
Analysis by Organization Type
There are two segments for the type of organizations. They are SMEs & Large Enterprises.
Large enterprises will get involved in a much deeper way with Data Warehousing Solutions. This is because of the availability of Capital, relevant Human Resources, and a strong bottom-line to support all activities. They can deploy a wide array of data capturing business suites such as Customer Relationship Management and Enterprise Resource Planning.
Analysis by Offering
According to the types of offers, there are three main segments. They are Statistical Analysis, Data Mining Tools, and ETL Solutions.
Data Mining will grow to become the brains behind crucial business decisions. They can handle large volumes of data and discover trends, patterns, or correlations that paint a much more intelligible picture of the business’s operations.
Analysis by Application
According to the application, the segments are as follows: Retail, Telecom & IT, BFSI, Manufacturing, Healthcare, and Government.
The BFSI sector has a tremendous business value to gain with the use of Data warehousing. The sector is plagued by frauds, credit risk, dubious insurance claims, and government compliances. These reasons cause financial losses to the institutions. Big Data Analytics will be the savior here. This will fuel the demand for Data Warehousing. Furthermore, the growing adoption of the Internet of Things will also bring fruit to the industry’s demand.
Analysis by Region
The Asia-Pacific region is showing great signs of application of Data Warehousing and cloud computing. Large companies are setting up massive Data warehousing systems to be made available to medium and large businesses as a service.
Analysis by Market
Large corporations such as Microsoft, Oracle, SAP, and Amazon Web Services are part of the core group of this industry. This space is advancing each passing month with better data analytics and warehousing solutions being tested and introduced. This augurs very well for future demand. Other industries in this domain that are growing at a high CAGR include Data Storage Market and Data Analytics Market.
COVERAGE HIGHLIGHTS
● Market Revenue Estimation and Forecast (2019 – 2026)
● Market Production Estimation and Forecast (2019 – 2026)
● Market Sales/Consumption Volume Estimation and Forecast (2019 – 2026)
● Breakdown of Revenue by Segments (2019 – 2026)
● Breakdown of Production by Segments (2019 – 2026)
● Breakdown of Sales Volume by Segments (2019 – 2026)
● Gross Margin and Profitability Analysis of Companies
● Business Trend and Expansion Analysis
● Import and Export Analysis
● Regional Analysis and Market Data Breakdown
MARKET SEGMENTATION
By Data Type Outlook ($Revenue and Unit Sales, 2019-2026)
• Structured
• Unstructured
By Deployment Model Outlook ($Revenue and Unit Sales, 2019-2026)
• On-premise
• Cloud
• Hybrid
By Organization Type Outlook ($Revenue and Unit Sales, 2019-2026)
• Large enterprises
• SMEs
By Offering Outlook ($Revenue and Unit Sales, 2019-2026)
• Statistical analysis
• Data mining tools
• Extract, Transform & Load (ETL) Solutions
• Others
By Application Outlook ($Revenue and Unit Sales, 2019-2026)
• Retail
• IT & Telecom
• BFSI
• Manufacturing
• Healthcare
• Government
• Others
By Regional Outlook ($Revenue and Unit Sales, 2019-2026)
• North America
• U.S.
• Canada
• Europe
• UK
• Germany
• France
• Italy
• Spain
• Netherlands
• APAC
• China
• India
• Japan
• South Korea
• ANZ
• Southeast Asia
• LAMEA
• Brazil
• Mexico
• Colombia
• Chile
• MEA
• Saudi Arabia
• South Africa
• Qatar
• UAE
By Market
• 1010DATA
• Accur8Software
• Action Corporation
• AtScale, Inc.
• Attunity, Cloudera, Inc.
• IBM Corporation
• Informatica
• Microsoft Corporation
• MarkLogic Corporation
• Netavis Software GmBH
• Oracle Corporation
• Panoply Ltd.
• Pivotal Software, Inc.
• SAP SE
• Snowflake, Inc.
• Teradata
• Talend
• SAS Institute, Inc.
• Amazon Web Services (AWS)