Recently published report on data lakes Market by Orbis Research includes market overview, detailed literature on products, services and overall industry scenario by 2027. The global data lakes market size is projected to reach at a CAGR of 15.9% during 2021-2026.
Dallas, May 26, 2021 (GLOBE NEWSWIRE) -- Data lakes store various types’ data. Different types of analytics can be performed with the help of data lakes on the structure and unstructured data. The analytics such as data visualizations, real-time data analytics, machine learning, and performance dashboards can be analyzed with the help of data lakes. This helps the organizations or companies in improved decision making. The data lakes allows the organization in performing machine learning, create log files, analyze the user data from social media, internet connected devices, and from other network platforms.
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Market Analysis and Insights: Global Data Lakes Market
The global Data Lakes market size is projected to reach US$ 10340 million by 2026, from US$ 3662.7 million in 2019, at a CAGR of 15.9% during 2021-2026.
The data derived from the data lakes allows the business identify future opportunities for growth, consumer or analyze customer behavior faster thereby retaining the customers by implementing required changes, enhancing productivity, maintain the devices, and make well-informed decisions. This is inclining more users and companies integrate data lakes into their system to drive more value which has improved the Data Lakes Market.
The data lakes store relational data from business applications, social media platforms, mobile applications, IoT devices, corporate applications, and others. The data lakes use different type of data analytics to derive insightful data such as machine learning, real-time analytics, SQL queries, or big data analytics.
The data lakes characterized by “Schema” written at the time of data analysis. The performance of the data lakes is higher and is query results are done faster than data warehousing which is thereby driving the Data Lakes Market. Moreover, the quality of the data curated is improved with the help of data lakes. Data lakes are widely used by the business analysts, data developers, and data scientists and more. The developed countries use the data lakes in their organizations as there is more number of multinational companies. However, due to lack of skilled professionals in the developing and undeveloped countries it restricts them from using the technology or benefits provided by the data lakes which may hamper the Data Lakes Market.
The top providers of the data lakes software in the data lakes market are Hitachi Data Systems, Snowflake Computing Inc, Informatica Corporation, Dell EMC, Capgemini SE, Amazon.com Inc, Oracle Corporation, and IBM Corporation among others.
The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Data Lakes market.
Data Lakes Breakdown Data by Type
Data Discovery
Data Integration and Management
Data Lakes Analytics
Data Visualization
Data Lakes Breakdown Data by Application
Marketing
Sales
Operations
Finance
Human Resources
Based on regional and country-level analysis, the Data Lakes market has been segmented as follows:
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia-Pacific
Latin America
Mexico
Brazil
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of Middle East & Africa
In the competitive analysis section of the report, leading as well as prominent players of the global Data Lakes market are broadly studied on the basis of key factors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2016-2021. It also offers detailed analysis supported by reliable statistics on price and revenue (global level) by player for the period 2016-2021.
The following players are covered in this report:
Microsoft
Teradata Corporation
Capgemini
EMC Corporation
Informatica
Oracle
SAP SE
ATOS SE
SAS Institute
Hitachi Data Systems
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Table of Contents:
Chapter One: Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Data Lakes Market Size Growth Rate by Type: 2016 VS 202Chapter One: VS 2027
1.2.2 Data Discovery
1.2.3 Data Integration and Management
1.2.4 Data Lakes Analytics
1.2.5 Data Visualization
1.3 Market by Application
1.3.1 Global Data Lakes Market Share by Application: 2016 VS 202Chapter One: VS 2027
1.3.2 Marketing
1.3.3 Sales
1.3.4 Operations
1.3.5 Finance
1.3.6 Human Resources
1.4 Study Objectives
1.5 Years Considered
Chapter Two: Global Growth Trends
2.1 Global Data Lakes Market Perspective (2016-2027)
2.2 Data Lakes Growth Trends by Regions
2.2.1 Data Lakes Market Size by Regions: 2016 VS 202Chapter One: VS 2027
2.2.2 Data Lakes Historic Market Share by Regions (2016-2021)
2.2.3 Data Lakes Forecasted Market Size by Regions (2022-2027)
2.3 Data Lakes Industry Dynamic
2.3.1 Data Lakes Market Trends
2.3.2 Data Lakes Market Drivers
2.3.3 Data Lakes Market Challenges
2.3.4 Data Lakes Market Restraints
Chapter Three: Competition Landscape by Key Players
Chapter Four: Data Lakes Breakdown Data by Type
Chapter Five: Data Lakes Breakdown Data by Application
Chapter Six: North America
Chapter Seven: Europe
Chapter Eight: Asia-Pacific
Chapter Nine: Latin America
Chapter Ten: Middle East & Africa
Chapter Eleven: Key Players Profiles
11.2 Teradata Corporation
11.3 Capgemini
11.4 EMC Corporation
11.5 Informatica
11.6 Oracle
11.7 SAP SE
11.9 SAS Institute
11.10 Hitachi Data Systems
Chapter Twelve: Analyst's Viewpoints/Conclusions
Chapter Thirteen: Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
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