FY2017 – FY2027 INDIA DATA WAREHOUSING MARKET FORECAST & OPPORTUNITIES
www.techsciresearch.com MARKET INTELLIGENCE . CONSULTING
Scope of Report
Product of Interest (POI): Data Warehousing
Data warehousing refers to secure storage of information by any organization in electronic form. Numerous heterogeneous sources, capable of supporting structure or ad hoc query and analytical supporting, can be integrated to gather data and facilitate data warehousing.
MARKET SEGMENTATION USAGE TYPE
REGION
DEPLOYMENT
North
•
Analytics
•
On-Premise
•
•
ETL (Extraction, Transform
•
Cloud
•
East
•
West
•
South
and Load)
•
Reporting
•
Data Mining
DATA TYPE •
Unstructured
•
Semi-Structured &
APPLICATION
INDUSTRY VERTICAL
•
Customer Analytics
•
Fraud Detection and Threat
•
BFSI
Management
•
Telecom & IT
•
Supply Chain Management
•
Government
•
Others
•
Manufacturing
•
Retail
•
Healthcare
Structured
ORGANIZATION SIZE •
Small & Medium Sized Enterprises
•
Media & Entertainment
•
Large Enterprises
•
Others
Year Range Review Period
FY2017 – FY2020 Base Year
FY2021 Estimated Year
FY2022 Forecast Period
FY2023 – FY2027
2
Table of Contents Contents 1.
Product Overview (A brief description of the category and product inclusions considered under the scope of the study to give clear picture to the client about the product of interest.)
2.
Research Methodology (A detailed methodology on how we have derived the market related information and what are the measures that has been taken to validate the data.)
3.
Impact of COVID-19 on India Data Warehousing Market
4.
Executive Summary (This chapter covers summary of the complete study.)
5.
India Data Warehousing Market Outlook, FY2017-FY2027F (This chapter includes a brief overview of the product of interest market such as total market’s growth rate, expected growth rate, key growth levers, leading region, top grossing product types, etc. It includes more of a qualitative information about the market.) 5.1.
Market Size & Forecast 5.1.1.
5.2.
5.3.
By Value
Market Share & Forecast (The overall product of interest bifurcated/split among various segments. ) 5.2.1.
By Usage Type (Analytics, ETL (Extraction, Transform and Load) and Reporting, Data Mining)
5.2.2.
By Data Type (Unstructured and Semi-Structured & Structured)
5.2.3.
By Deployment (On-Premise, and Cloud)
5.2.4.
By Application (Customer Analytics, Fraud Detection and Threat Management, Supply Chain Management, Others)
5.2.5.
By Organization Size (Small & Medium Sized Enterprises and Large Enterprises)
5.2.6.
By Industry Vertical (BFSI, Telecom & IT, Government, Manufacturing, Retail, Healthcare, Media & Entertainment, and Others)
5.2.7.
By Region
5.2.8.
By Company (FY2021)
Product Market Map
3
Table of Contents Contents 6.
India On-Premise Data Warehousing Market Outlook, FY2017-FY2027F 6.1.
Market Size & Forecast 6.1.1.
6.2.
7.
By Value
Market Share & Forecast
6.2.1.
By Usage Type
6.2.2.
By Data Type
6.2.3.
By Application
6.2.4.
By Organization Size
6.2.5.
By Industry Vertical
India Cloud Data Warehousing Market Outlook, FY2017-FY2027F 7.1.
Market Size & Forecast
7.1.1. 7.2.
By Value
Market Share & Forecast 7.2.1.
By Usage Type
7.2.2.
By Data Type
7.2.3.
By Application
7.2.4.
By Organization Size
7.2.5.
By Industry Vertical
4
Table of Contents Contents 8.
Market Dynamics 8.1.
Drivers
8.2.
Challenges
9.
Market Trends & Developments
10.
Policy & Regulatory Landscape
11.
India Economic Profile
12.
Competitive Landscape 12.1.
Competition Outlook
12.2.
Company Profiles (Leading 10 Companies) 12.2.1.
Company Details
12.2.2.
Products & Services
12.2.3.
Financials (As Reported)
12.2.4.
Key Market Focus & Geographical Presence
12.2.5.
Recent Developments
12.2.6.
Key Management Personnel
13.
Strategic Recommendations
14.
About Us & Disclaimer
5
RESEARCH METHODOLOGY
Research Methodology
Market Profiling
In-depth secondary research was conducted to determine top players in the India data warehousing market, overall market size and segmental market size.
Formulating Questionnaire
In order to conduct industry experts’ interviews, TechSci formulated a detailed discussion guide.
Developing List of Respondents
Data Collection
Data Validation
Data obtained as a result of primary and secondary research was validated through rigorous triangulation.
TechSci conducted interviews with industry experts and industry players for data collection and verification.
List of industry players and industry specialists was developed.
Primary Research
Data Collection
Data Filter & Analysis
Research & Intelligence
Actionable Insights
Business Solution
LinkedIn TechSci Internal Database
✓ Recent Developments ✓ Market Changing Aspects/Dynamics ✓ Government Policies ✓ Conclusion
✓ Identifying Key Opinion Leaders ✓ Questionnaire Design ✓ In-depth Interviews
Primary Research ✓ ✓
Desk Research
Secondary Research ✓ ✓ ✓ ✓ ✓ ✓ ✓
Company Websites Company Annual Reports White Paper Study Financial Reports Investor Presentations Regulatory Body Associations, etc.
Data Analysis
The data was scrutinized using MS-Excel, statistical tools and internal proprietary database to obtain qualitative and quantitative insights about the India data warehousing market.
Company Analysis ✓ Market Participants ✓ Key Strengths
Paid Sources
✓ ✓
Factiva Hoovers
7
Research Methodology Baseline Methodology
Our dedicated team of industry experts has monitored and analyzed various aspects of India data warehousing market. The team has analyzed the outlook of various segments of this market, while considering the major influencing factors such as growing use of data warehouse. The study includes market forecasting, which would enable our clients to take better decisions while planning their strategy to achieve sustainability in India data warehousing market.
Methodology Followed for Calculation of Market Size:
•
Market Size by Value & Volume : Market size, in terms of value & volume, for the year FY2021 was calculated based on information collected through exhaustive secondary research and primary surveys, with various key opinion leaders/stakeholders, such as data warehousing companies, suppliers, channel partners, end users, industry experts, and other industry participants.
•
The team interviewed more than 40 – 50 data warehousing companies, suppliers, 180 – 200 end users, 15 – 20 industry experts and other value & volume chain stakeholders in the India data warehousing market to obtain the overall market size from FY2017 to FY2021, which was validated by the Delphi technique. Taking standard deviation into consideration, the market size was averaged out, to arrive at the market size data during FY2017-FY2021.
8
Research Methodology •
Respondents were asked about the current and future market growth rates, market shares by usage type, by data type, by deployment, by application, by organization size, by industry vertical, by region and by company. Removing the outlier responses, the geometric mean of growth estimates and supplier wise revenue shares generated across various segments were considered, to arrive at the final revenue shares. Revenue shares generated across various segments were further triangulated from other stakeholders.
Methodology Followed for Calculation of Market Shares: Market shares by usage type, by data type, by deployment, by application, by organization size, by industry vertical, by region and by company were calculated based on the responses received through primary surveys with industry experts, in which the respondents were asked about the market shares or revenue generated from various segments of data warehousing market. The final shares were calculated by taking the geometric mean of the responses gathered from key opinion leaders after eliminating the outliers.
Methodology Followed for Forecasting: •
TechSci Research performed periodical checks on data collected through the surveys with logic checks and analyzed the survey results in SPSS/Tableau Software.
•
Data triangulation techniques were applied to fill the gaps and to present a more meaningful picture of the market. To forecast India data warehousing market, TechSci Research used various forecast techniques such as:
✓
Moving Average
✓
Time Series Analysis
✓
Regression Analysis
✓
Econometric and Judgmental Analysis
9
Research Methodology TechSci Research used its own forecast tool, which is based on the growth of various allied industries in respective regions. TechSci Research also used the impact analysis during short, medium and long term period to estimate the demand and to reach accurate market numbers. It should be noted that the figures compiled are only for the organized market including market share data.
Partial List of Companies Interviewed
Key Secondary Sources
▪ Microsoft India Pvt Ltd
▪ World Bank
▪ IBM India Pvt Ltd
▪ TechSci Research Proprietary Database & Knowledge
▪ Google India Pvt Ltd.
Repository
▪ Oracle Corp.
▪ Company Annual Reports
▪ Amazon Web Services, Inc
▪ Industry Magazines
▪ Actian India
▪ Industry Reports
▪ Cloudera, Inc.
▪ Statista
▪ SAP India Pvt. Ltd.
▪ News Dailies
▪ Snowflake, Inc.
▪ Credible Paid Databases
▪ Teradata Corporation ▪ Dell India Pvt Ltd ▪ Informatica Business Solutions Private Limited ▪ Micro Focus India Private Limited ▪ Sigma Computing Solutions (I) Pvt Ltd ▪ Talend, Inc.
10
Industry Brief BFSI segment to dominate India Data Warehousing market through FY2027 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. Coronavirusaffected 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. 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. “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.
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Sample Data - Snapshot India Data Warehousing Market Size, By Value (USD Million), FY2017–FY2027F
5.00
FY2017
6.00
7.00
8.00
CAGR By Value
XX%
9.00
10.00
FY2021
FY2022E
11.00
12.00
Value, FY2017–FY2027F Analytics ETL (Extraction, Transform and Load) and… FY2027F 30% 40% 30% FY2026F 30% 40% 30% FY2025F 30% 40% 30% FY2024F 30% 40% 30% FY2023F 30% 40% 30% FY2022E 30% 40% 30% FY2021 30% 40% 30% FY2020 30% 40% 30% FY2019 30% 40% 30% FY2018 30% 40% 30% 30% 40% 30% FY2017
14.00
CAGR By Value
15.00
FY2027F
YY%
By Value (USD Million)
India Data Warehousing Market Share, By Usage Type, By
13.00
India Data Warehousing Market Share, By Data Type, By Value, FY2017–FY2027F Unstructured FY2027F FY2026F FY2025F FY2024F FY2023F
FY2022E FY2021 FY2020 FY2019 FY2018 FY2017
Semi-Structured & Structured 60% 60% 60% 60% 60% 60% 60% 60% 60% 60% 60%
40% 40% 40% 40% 40% 40% 40% 40% 40% 40% 40%
India On-Premise Data Warehousing Market Share, By Application, By Value, FY2017–FY2027F
FY2027F FY2025F FY2023F
FY2021 FY2019 FY2017
Customer Analytics Supply Chain Management 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25%
25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25%
Fraud Detection and Threat Management Others 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25%
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About Us & Disclaimer
TechSci Research is a global market research and consulting company with offices in the US, UK and India. TechSci Research provides market research reports in number of areas to organizations. The company uses innovative business models that focus on improving productivity, while ensuring creation of high-quality reports. The proprietary forecasting models use various analyses of both industry-specific and macroeconomic variables on a state-by-state basis to produce a unique ‘bottom-up’ model of a country, regional and global industry prospects. Combined with the detailed analysis of company activity and industry trends, the result is a uniquely rich evaluation of the opportunities available in the market.
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Disclaimer The contents of this report are based on information generally available to the public from sources believed to be reliable. No representation is made that it is timely, accurate or complete. TechSci Research has taken due care and caution in compilation of data as this has been obtained from various sources including which it considers reliable and first hand. However, TechSci Research does not guarantee the accuracy, adequacy or completeness of any information and it is not responsible for any errors or omissions or for the results obtained from the use of such information and especially states that it has no financial liability whatsoever to the subscribers / users of this report. The information herein, together with all estimates and forecasts, can change without notice. All the figures provided in this document are indicative of relative market size and are strictly for client’s internal consumption. Usage of the same for purpose other than internal will require prior approval of TechSci Research.
