A data lake is a centralized repository that allows to store all structured and unstructured data at any scale. The unstructured data is used by data analysts and data scientists or structured data prominently used by the airline and automotive sector. A data lake can combine customer data from a Customer Relationship Management (CRM) platform with social media analytics. A marketing platform that contains buying history, and incident tickets that can be used to improve customer loyalty toward the company. Hence, increasing focus on developing customer interactions within an enterprise is expected to boost the Data Lakes market in the forthcoming years.
Additionally, the need for operational efficiency with respect to cost and data analytics has increased globally. A data lake makes it easy to store and run analytics on machine-generated IoT data to discover ways to decrease operational costs and increase quality. This key fact contributes significantly to the development of the Data Lakes market. Furthermore, several government initiatives such as the development of smart cities and the implementation of intelligent utility meters would impact the market positively.
On the other hand, lack of professional expertise related to data science, lack of awareness, and low HDI are some factors hampering the growth of the market.
Data Lakes Market Segment Overview
There has been increasing application of data lakes in the IT, BFSI, and retail sectors. The data lake solutions support the IT operation in analyzing unstructured and structured information and capturing appropriate insights. Also, many companies are implementing data solutions to improve and evaluate their internal processes. For instance, in January 2019, Tata Consultancy Services (TCS), a leading global IT service, consulting, and business solutions organization has launched the TCS Connected Intelligence Data Lake for BusinessTM on AWS Marketplace. This solution provides a central repository for all types of information, wherein business users can easily access the stored information, generate analytics, and gain insights to solve business challenges.
Data Lakes Market Regional Overview
Region-wise, North America is projected to dominate the global data lake market during the forecast period. This is due to the higher adoption of AI and machine learning technologies in this region. Also, data lakes are expected to play important role in developing healthcare analytics. For instance, in March 2020, C3 ai, Inc., a U.S.-based AI company, announced the addition of 11 new integrated COVID-19 data sets to the C3.ai™ COVID-19 Data Lake. C3.ai COVID-19 Data Lake offers researchers access to normalized, unified data to accelerate efforts in the fight against COVID-19. Furthermore, Asia Pacific is expected to register the fastest growth during the forecast period. The growth can be attributed to increasing investments made by major technology companies in China, India, and Japan. Also, increasing digitization and rising penetration of advanced big data analytics technology, are projected to boost the growth of the Data Lakes market in this region.
Data Lakes Market Competitor overview
· In April 2021, SAP SE announced new service components of the SAP HANA Cloud database — adaptive server enterprise (ASE), ASE replication and data lake support for SAP IQ software workloads, that allow customers to handle ever-growing amounts of transactional and analytical data in data-intensive, highly regulated industries such as financial services and telecommunications.
Data Lakes Market, Key Players
· Amazon Web Services, Inc
· Cloudera, Inc.
· Dremio Corporation
· Informatica Corporation
· Microsoft Corporation
· Oracle Corporation
· SAS Institute Inc.
· Snowflake Inc.
· Teradata Corporation
· Zaloni, Inc.
Data Lakes Market Segmentation
Data Lakes Market, By Enterprise Size
· Small & Medium Enterprises
· Large Enterprises
Data Lakes Market, By Industry
· Banking, Financial Services & Insurance
· Telecom & Information Technology
· Manufacturing
· Construction
· Wholesale Distribution
· Non-profit Organizations
· Chemicals
· Food and Beverage
· Retail
· Others (Hospitality, Government, and Public Sector, etc.)
Data Lakes market, By Region
- North America
- US
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Rest of Europe
- Asia-Pacific
- Japan
- China
- India
- Australia
- South Korea
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Rest of South America
- Middle East and Africa
- GCC
- South Africa
- Rest of Middle East and Africa
1. Introduction
- 1.1. Research Scope
- 1.2. Market Segmentation
- 1.3. Research Methodology
- 1.4. Definitions and Assumptions
2. Executive Summary
3. Market Dynamics
- 3.1. Market Drivers
- 3.2. Market Restraints
- 3.3. Market Opportunities
4. Key Insights
- 4.1. Key Emerging Trends – For Major Countries
- 4.2. Latest Technological Advancement
- 4.3. Regulatory Landscape
- 4.4. Industry SWOT Analysis
- 4.5. Porters Five Forces Analysis
5. Global Data Lakes Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 5.1. Key Findings / Summary
- 5.2. Market Analysis, Insights and Forecast – By Enterprise Size
- 5.2.1. Small & Medium Enterprises
- 5.2.2. Large Enterprises
- 5.3. Market Analysis, Insights and Forecast – By Industry
- 5.3.1. Banking, Financial Services & Insurance
- 5.3.2. Telecom & Information Technology
- 5.3.3. Manufacturing
- 5.3.4. Construction
- 5.3.5. Wholesale Distribution
- 5.3.6. Non-profit Organizations
- 5.3.7. Chemicals
- 5.3.8. Food and Beverage
- 5.3.9. Retail
- 5.3.10. Others (Hospitality, Government, and Public Sector, etc.)
- 5.4. Market Analysis, Insights and Forecast – By Region
- 5.4.1. North America
- 5.4.2. Latin America
- 5.4.3. Europe
- 5.4.4. Asia Pacific
- 5.4.5. Middle East and Africa
6. North America Data Lakes Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 6.1. Key Findings / Summary
- 6.2. Market Analysis, Insights and Forecast – By Enterprise Size
- 6.2.1. Small & Medium Enterprises
- 6.2.2. Large Enterprises
- 6.3. Market Analysis, Insights and Forecast – By Industry
- 6.3.1. Banking, Financial Services & Insurance
- 6.3.2. Telecom & Information Technology
- 6.3.3. Manufacturing
- 6.3.4. Construction
- 6.3.5. Wholesale Distribution
- 6.3.6. Non-profit Organizations
- 6.3.7. Chemicals
- 6.3.8. Food and Beverage
- 6.3.9. Retail
- 6.3.10. Others (Hospitality, Government, and Public Sector, etc.)
- 6.4. Market Analysis, Insights and Forecast – By Country
- 6.4.1. U.S.
- 6.4.2. Canada
7. Latin America Data Lakes Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 7.1. Key Findings / Summary
- 7.2. Market Analysis, Insights and Forecast – By Enterprise Size
- 7.2.1. Small & Medium Enterprises
- 7.2.2. Large Enterprises
- 7.3. Market Analysis, Insights and Forecast – By Industry
- 7.3.1. Banking, Financial Services & Insurance
- 7.3.2. Telecom & Information Technology
- 7.3.3. Manufacturing
- 7.3.4. Construction
- 7.3.5. Wholesale Distribution
- 7.3.6. Non-profit Organizations
- 7.3.7. Chemicals
- 7.3.8. Food and Beverage
- 7.3.9. Retail
- 7.3.10. Others (Hospitality, Government, and Public Sector, etc.)
- 7.4. Market Analysis, Insights and Forecast – By Country
- 7.4.1. Brazil
- 7.4.2. Mexico
- 7.4.3. Rest of Latin America
8. Europe Data Lakes Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 8.1. Key Findings / Summary
- 8.2. Market Analysis, Insights and Forecast – By Enterprise Size
- 8.2.1. Small & Medium Enterprises
- 8.2.2. Large Enterprises
- 8.3. Market Analysis, Insights and Forecast – By Industry
- 8.3.1. Banking, Financial Services & Insurance
- 8.3.2. Telecom & Information Technology
- 8.3.3. Manufacturing
- 8.3.4. Construction
- 8.3.5. Wholesale Distribution
- 8.3.6. Non-profit Organizations
- 8.3.7. Chemicals
- 8.3.8. Food and Beverage
- 8.3.9. Retail
- 8.3.10. Others (Hospitality, Government, and Public Sector, etc.)
- 8.4. Market Analysis, Insights and Forecast – By Country
- 8.4.1. UK
- 8.4.2. Germany
- 8.4.3. France
- 8.4.4. Italy
- 8.4.5. Spain
- 8.4.6. Russia
- 8.4.7. Rest of Europe
9. Asia Pacific Data Lakes Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 9.1. Key Findings / Summary
- 9.2. Market Analysis, Insights and Forecast – By Enterprise Size
- 9.2.1. Small & Medium Enterprises
- 9.2.2. Large Enterprises
- 9.3. Market Analysis, Insights and Forecast – By Industry
- 9.3.1. Banking, Financial Services & Insurance
- 9.3.2. Telecom & Information Technology
- 9.3.3. Manufacturing
- 9.3.4. Construction
- 9.3.5. Wholesale Distribution
- 9.3.6. Non-profit Organizations
- 9.3.7. Chemicals
- 9.3.8. Food and Beverage
- 9.3.9. Retail
- 9.3.10. Others (Hospitality, Government, and Public Sector, etc.)
- 9.4. Market Analysis, Insights and Forecast – By Country
- 9.4.1. China
- 9.4.2. India
- 9.4.3. Japan
- 9.4.4. Australia
- 9.4.5. South East Asia
- 9.4.6. Rest of Asia Pacific
10. Middle East & Africa Data Lakes Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 10.1. Key Findings / Summary
- 10.2. Market Analysis, Insights and Forecast – By Enterprise Size
- 10.2.1. Small & Medium Enterprises
- 10.2.2. Large Enterprises
- 10.3. Market Analysis, Insights and Forecast – By Industry
- 10.3.1. Banking, Financial Services & Insurance
- 10.3.2. Telecom & Information Technology
- 10.3.3. Manufacturing
- 10.3.4. Construction
- 10.3.5. Wholesale Distribution
- 10.3.6. Non-profit Organizations
- 10.3.7. Chemicals
- 10.3.8. Food and Beverage
- 10.3.9. Retail
- 10.3.10. Others (Hospitality, Government, and Public Sector, etc.)
- 10.4. Market Analysis, Insights and Forecast – By Country
- 10.4.1. GCC
- 10.4.2. South Africa
- 10.4.3. Rest of Middle East & Africa
11. Competitive Analysis
- 11.1. Company Market Share Analysis, 2018
- 11.2. Key Industry Developments
- 11.3. Company Profile
- 11.4. Amazon Web Services, Inc
- 11.4.1. Business Overview
- 11.4.2. Segment 1 & Service Offering
- 11.4.3. Overall Revenue
- 11.4.4. Geographic Presence
- 11.4.5. Recent Development
- 11.5. Cloudera, Inc.
- 11.6. Dremio Corporation
- 11.7. Informatica Corporation
- 11.8. Microsoft Corporation
- 11.9. Oracle Corporation
- 11.10. SAS Institute Inc.
- 11.11. Snowflake Inc.
- 11.12. Teradata Corporation
Data Library Research are conducted by industry experts who offer insight on industry structure, market segmentations technology assessment and competitive landscape (CL), and penetration, as well as on emerging trends. Their analysis is based on primary interviews (~ 80%) and secondary research (~ 20%) as well as years of professional expertise in their respective industries. Adding to this, by analysing historical trends and current market positions, our analysts predict where the market will be headed for the next five years. Furthermore, the varying trends of segment & categories geographically presented are also studied and the estimated based on the primary & secondary research.
In this particular report from the supply side Data Library Research has conducted primary surveys (interviews) with the key level executives (VP, CEO’s, Marketing Director, Business Development Manager and SOFT) of the companies that active & prominent as well as the midsized organization
FIGURE 1: DLR RESEARH PROCESS
Extensive primary research was conducted to gain a deeper insight of the market and industry performance. The analysis is based on both primary and secondary research as well as years of professional expertise in the respective industries.
In addition to analysing current and historical trends, our analysts predict where the market is headed over the next five years.
It varies by segment for these categories geographically presented in the list of market tables. Speaking about this particular report we have conducted primary surveys (interviews) with the key level executives (VP, CEO’s, Marketing Director, Business Development Manager and many more) of the major players active in the market.
Secondary ResearchSecondary research was mainly used to collect and identify information useful for the extensive, technical, market-oriented, and Friend’s study of the Global Extra Neutral Alcohol. It was also used to obtain key information about major players, market classification and segmentation according to the industry trends, geographical markets, and developments related to the market and technology perspectives. For this study, analysts have gathered information from various credible sources, such as annual reports, sec filings, journals, white papers, SOFT presentations, and company web sites.
Market Size EstimationBoth, top-down and bottom-up approaches were used to estimate and validate the size of the Global market and to estimate the size of various other dependent submarkets in the overall Extra Neutral Alcohol. The key players in the market were identified through secondary research and their market contributions in the respective geographies were determined through primary and secondary research.
Forecast Model
