Surge in the demand for automated analytics for consumer behaviour analytics and the growth of the IT sector is expected to drive the demand for India Data Warehousing market in the forecast period.
According to TechSci Research report, “India Data Warehousing Market By Usage Type (Analytics, ETL (Extraction, Transform and Load) and Reporting, Data Mining), By Data Type (Unstructured and Semi-Structured & Structured), By Deployment (On-Premise, and Cloud), By Application (Customer Analytics, Fraud Detection and Threat Management, Supply Chain Management, Others), By Organization Size (Small & Medium Sized Enterprises and Large Enterprises), By Industry Vertical (BFSI, Telecom & IT, Government, Manufacturing, Retail, Healthcare, Media & Entertainment, and Others), By Region, Competition Forecast & Opportunities, FY2027”, the India Data Warehousing market is expected to witness steady growth in the forecast period. Data warehousing is a technique to the data warehouse in which the data from various places is stored. Business organizations use it to make informed decisions based on the generated data. The growing demand for data mining in organizations for searching different patterns of data to increase the profit and sales of the organization is contributing to the growth of the Data Warehousing market in the next five years. The advantage of using a data warehouse is that it helps in quick data retrieval in organizations to find complex information. Data warehousing helps in detecting and correcting the errors before the loading of the data, which ensures the data uploaded is correct and thereby aids in improving the decision-making process of the organizations.
The COVID-19 outbreak worldwide, which has been declared a pandemic by World Health Organization, has affected several countries adversely. Coronavirus-affected patients started suffering from shortness of breath along with coughing and sneezing. India’s leading authorities imposed lockdown restrictions and released a set of precautionary measures to contain the spread of novel coronavirus. Business organizations have provided the facility of work from home to the employees that are expected to create the demand for cloud Data Warehousing software to manage and analyze the complex information generated through various sources, which can be used later by the organizations to make decisions.
However, the rise in the threats of data breaches and cyber-attacks and high deployment costs may restrain the growth of the Data Warehousing market for the forecast period.
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India Data Warehousing market is segmented into usage type, data type, deployment, application, organization size, industry vertical, regional distribution, and company.
Based on the industry vertical, the market can be divided into BFSI, telecom & IT, government, manufacturing, retail, healthcare, media & entertainment, and others. The BFSI segment is expected to witness significant growth in the forecast period, FY2023-FY2027. The BFSI industry stores a large amount of data on a daily basis, and any fluctuations can affect adversely. The growing use of data mining and big data analytics to protect confidential information from frauds and malicious cyber-attacks is increasing the adoption of Data Warehousing in the BFSI sector.
Microsoft India Pvt Ltd, IBM India Pvt Ltd, Google India Pvt Ltd., Oracle Corp., Amazon Web Services, Inc, Actian India, Cloudera, Inc., SAP India Pvt. Ltd., Snowflake, Inc., Teradata Corporation, Dell India Pvt Ltd, Informatica Business Solutions Private Limited, Micro Focus India Private Limited, Sigma Computing Solutions (I) Pvt Ltd, Talend, Inc are the leading players operating in India Data Warehousing market. Service providers are increasingly focusing on research and development process to fuel higher growth in the market. To meet evolving customer demand with respect to better efficiency and durability, several ambulance service providers are coming up with their technologically advanced offerings.
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“The rise in the adoption of virtual Data Warehousing technology by organizations to efficiently manage the data, lower time and expenditure involves a lower risk in the data management process. The use of advanced technologies such as artificial intelligence and machine learning to increase the overall performance of Data Warehousing, thereby form a smart data warehouse that can automatically optimize and transform data based on the user requirements. The investments made by the market players to introduce novel products and rapidly adopt advanced technologies to upgrade the existing infrastructure is expected to propel the Data Warehousing market growth till FY2027” said Mr. Karan Chechi, Research Director with TechSci Research, a research-based global management consulting firm.
“India Data Warehousing Market By Usage Type (Analytics, ETL (Extraction, Transform and Load) and Reporting, Data Mining), By Data Type (Unstructured and Semi-Structured & Structured), By Deployment (On-Premise, and Cloud), By Application (Customer Analytics, Fraud Detection and Threat Management, Supply Chain Management, Others), By Organization Size (Small & Medium Sized Enterprises and Large Enterprises), By Industry Vertical (BFSI, Telecom & IT, Government, Manufacturing, Retail, Healthcare, Media & Entertainment, and Others), By Region, Competition Forecast & Opportunities, FY2027” has evaluated the future growth potential of India Data Warehousing market and provided statistics & information on market size, shares, structure and future market growth. The report intends to provide cutting-edge market intelligence and help decision makers take sound investment decisions. Besides, the report also identifies and analyzes the emerging trends along with essential drivers, challenges, and opportunities in the of India Data Warehousing market.
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