A data lake is a store for all organized, semi-structured, and unstructured data that corporations may want to collect, store, analyze, and turn into insights and action. Data lakes provide enterprises with dynamic and advanced data analytics capabilities and help in marketing, human resources, finance, sales, and operations in organizations.This growth is primarily driven by Adoption of IoT Devices, Rapid Growth of Advanced Analytics Technologies and The rise in the Number of Digital Payments with Growing Raw Data of Companies.
Globally, a noticeable market trend is evident Introduction of Dataset Versioning and Data Integration Features in the Data Lake Storage Services. Major Players, such as Microsoft (United States), IBM (United States), Amazon Web Services (United States), Oracle (United States), Google (United States), Cloudera (United States), Cazena (United States), Infoworks.io (United States), AWS (United States), Informatica (United States), SAS Institute (United States), Zaloni (United States), Koverse (United States), HPE (United States), Snowflake (United States) and Dremio (United States) etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.
Key Developments in the Market:
On 06 Nov 2019 Cloudera the enterprise data cloud company, announced the Cloudera Data Platform (CDP) powered by Microsoft Azure. CDP is an integrated data platform that is easy to secure, manage, and deploy. Azure delivers powerful, self-service analytics with a consistent Azure experience and enterprise-grade performance across hybrid environments with the granular security and governance policies that IT leaders demand.
In 08 Aug 2019 Amazon Web Services, Inc. announced the general availability of AWS Lake Formation, a fully managed service that makes it much easier for customers to build, secure, and manage data lakes. AWS Lake Formation simplifies and automates many of the complex manual steps usually required to create a data lake, including collecting, cleaning, and cataloging data, and securely making that data available for analytics. Customers can easily bring their data into a data lake from a variety of sources using pre-defined templates, automatically classify and prepare the data, and centrally define granular data access policies to govern access by the different groups within an organization.
“U.S. Department of Defense's JEDI cloud's founding principle is "single source of cloud infrastructure facilitating data pooling." This architecture's underlying assumption is to potentially move data originating from various sources from one country to the country where the cloud data lake is hosted to provide the capability required to build the operational parameters examples above. However, the data localization regulations will now restrict what data can move from the operational data stored locally to these large enterprises' central data lakes.”
- Adoption of IoT Devices
- Rapid Growth of Advanced Analytics Technologies
- The rise in the Number of Digital Payments with Growing Raw Data of Companies
- Introduction of Dataset Versioning and Data Integration Features in the Data Lake Storage Services
- Data Swamps Can Be Create Due to a Lack of Monitoring Over the Items Kept Can Resist the Data Lake Storage Market
- Slow on Boarding and Data Integration on Data Lakes can Hinder Market Growth of Data Lake Storage Market
Rising Banking Sector will Create Opportunities for the Data Lake Storage and Growing Development of Smart Cities and the Implementation of Intelligent Utility Meters will Boost the Data Lake Storage
Technological Errors Associated with Data Extraction and Data Cleaning in Data Lake Storage
AMA Research follow a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcase the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.
Customization in the Report
AMA Research features not only specific market forecasts, but also include significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis
Against this Challenging Backdrop, Data Lake Storage Study Sheds Light on
The Data Lake Storage Market status quo and key characteristics. To end this, Analyst at AMA organize and took survey of the Data Lake Storage industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
Where Data Lake Storage industry is heading and what are the top priorities. Insights are drawn from financial analysis, the survey and interviews with key executives and industry experts.
How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold value they currently claim, or capture the new addressable opportunity.
Frequently Asked Questions (FAQ):1. What is the growth rate predicted for the Global Data Lake Storage Market?
The Data Lake Storage market is expected to see a CAGR of % during projected year 2020 to 2026.
2. Who are the top performing companies in Data Lake Storage Market?
Top performing companies in the Global Data Lake Storage market are Microsoft (United States), IBM (United States), Amazon Web Services (United States), Oracle (United States), Google (United States), Cloudera (United States), Cazena (United States), Infoworks.io (United States), AWS (United States), Informatica (United States), SAS Institute (United States), Zaloni (United States), Koverse (United States), HPE (United States), Snowflake (United States) and Dremio (United States), to name a few.
3. Which region dominated the worldwide market for Data Lake Storage in 2020?
is dominating the Data Lake Storage Market.