Data Lakes Market 2022-2030 Business Trends

A latest report from Absolute Markets Insights covers insights into the global Data Lakes market. This comprehensive report offers insights into the market, models and drivers of business growth. Also includes Data Lakes market share, sales volume and education charts. Research analysts have combined important and additional information, such as commitments from market leaders, into a well-crafted report. This report is an essential insight into strategies and information and is primarily aimed at business leaders. The main objective of this Data Lakes report is to provide industry knowledge and help our clients achieve natural growth in their respective fields. The Data Lakes report also shows a new uptrend that includes market conditions and market forecast 2022-2030.

Read Detailed Index of full Research Study @ https://www.absolutemarketsinsights.com/reports/Data-Lakes-Market-2019-2027-271?rp

Some of the major players operating in the global Data Lakes market include: Amazon Web Services, Inc, Capgemini, Datalake Solutions, Dell Inc., Eworks, Google Inc., Huawei Software Technologies Co., Ltd, IBM, Infosys Limited, KPI Partners, Microsoft, SAP SE, Search Technologies, Tata Consultancy Services Limited, US-Analytics, and Zaloni amongst others.

In terms of revenue, the data lakes market stood at US$ 2511.65 Mn in 2022 and is expected to reach US$ 37901.32 Mn by 2030 growing at a CAGR of 35.2% over the forecast period.

The competitive landscape of the market study contains a broader analysis of the regions including North America, Europe, Asia-Pacific, Middle East and Africa, Latin America, which are expected to capture the essence of the market in its broadest category. The list encompasses significant players who manage the sector based on the system’s overall production capabilities, environmental contributions, appropriate channels, and territorial proximity through a system of primary and secondary research methodologies followed by an in-house analytical model. Furthermore, the generated income and a generalized market share for the market is presented with the help of graphs, charts and tables.

Furthermore, the report also contains important collaborations, mergers and acquisitions, key market trends and business policies are evaluated. The study contains primary and secondary information pertaining to the Data Lakes Market in terms of its global status, market size, growth forecasts, trends, segments, and a detailed forecast.

Key insights from the report:

  • The report provides key statistics on the market status of Data Lakes Manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
  • The report provides a basic overview of the industry, including its definition, applications and manufacturing technology.
  • The report features the company profile, product specifications, capacity, production value and market share 2022-2030 for the top vendors.
  • The total market is further divided by company, by country and by application/type for the analysis of the competitive landscape.
  • The report then estimates the 2022-2030 market development trends of the P2P Loans industry.
  • Analysis of upstream raw materials, downstream demand and current market dynamics is also performed.
  • The report makes some important proposals for a new project of Data Lakes Market before evaluating its feasibility.

Covid-19 cumulative impact:

This study presents insights into COVID-19 on consumer behavior and changes in demand, purchasing patterns, supply chain reorganization, dynamics of market forces, and substantial government involvement. The new research provides insights, analysis, estimates and predictions in light of the effect of COVID-19 on markets. The Data Lakes Market report provides a solid observation on the prominent players in terms of strategic analysis, micro and macro market trends and opportunities, pricing trends, and a generalized overview of the market. The Data Lakes Market is a detailed study packed with primary and secondary market factors, market share, leading segments and a proper geographic analysis.

Key questions answered in this report:

  • What will the market size and growth rate be in 2030?
  • What are the key drivers of the global market?
  • What are the key market trends impacting the growth of the global market?
  • What are the market growth challenges?
  • Who are the key vendors in the global market?
  • What are the global market opportunities and challenges for sellers?
  • What are the key findings of the global five-point analysis of the Data Lakes market?

Nowadays, efficient utilization of data is one of the key factors determining the competitive prowess of an organization. This means that organizations capable of successfully generating business value from their data will definitely have competitive advantage over others. Efficient data utilization enables them to identify, and act upon opportunities for business growth by attracting and retaining customers, boosting productivity, and making informed decisions. This need to store and manage humongous amounts of data is one of the primary factors driving the data lakes market.

A data lake is a centralized repository that stores structured and unstructured data at any scale in unprocessed format. As the data is stored in original format, users can directly run it for different applications including machine learning, predictive analytics, data discovery and profiling to support quick decision making. Businesses across all industries are using data lakes to store and retrieve data. Among different data storage solutions, data lakes are cost effectiveness & less time consuming which is further augmenting the data lakes market.

The popularity of data lakes can be majorly attributed their cost-effectiveness and technological feasibility to meet big data challenges of the digital world. The data lake is capable of capturing and storing raw data at scale for a low cost, storing multiple types of data in the same repository, performing transformations on the data and others. Moreover, speed of data retrieval using data lakes is faster as compared to other storage techniques, making data lakes ideal for more time-bound applications.

With applications across multiple industry verticals, banking, financial services and insurance companies are among the frontrunners in adopting data lakes for improving the efficiency of operations. This industry is customer information intensive as well as highly regulated on every possible front.  As a result, they require unified data that needs to expand further. This need is catered by data lakes. Solutions such as TCS Enterprise Data Lake and Cortex Data Lake are ideal for unified data storage and facilitate data driven decision-making based on actionable insights.

Data lakes have also exhibited their value in other industries undergoing digitization. Energy and utilities sector is witnessing unprecedented data generation owing to factors such as customers equipped with new technologies to manage and control their electricity usage, proliferation of smart meters and grid sensors, the rise of distributed generation resources and others. This data can be utilized for numerous activities such as efficient energy management and reducing electricity theft. For instance, BC Hydro is utilizing EMC Federation data lake initiative for its scale-out storage and the big data analytics of its subsidiary, Pivotal in its modernization project. This project that includes installation of more than 2 million smart meters is expected to curb electricity theft.

Among the regions, North America held the largest market size in the global data lakes market in 2018. The presence of key data lake solution vendors coupled with rise in the demand for big data analytics is expected to fuel the data lakes market in the region.

Global Data Lakes Market Segmentation:

Data Lakes Market By Offerings {Solutions (Cloud-Based, On Premise) And Services (System Infrastructure Assessment, Security & Governance Strategy, Front-End Integration, Testing & Support, Consulting Services)}, By Tool (Artificial Intelligence, Machine Learning, Business Intelligence, Hadoop & MPP Migration, Others); By Organization Size (Small And Medium Enterprises & Large Enterprises), By End-Use (IT, Data Scientists, Data Developers, Business Analysts, Others); By Industry Vertical {Banking, Financial Services And Insurance, IT & Telecom, Media & Entertainment, Education, Healthcare, Facility & Maintenance, Retail & E-Commerce, Logistics & Transportation, Manufacturing, Oil & Gas, Government, Others (Hospitality & Travel, Etc.)}; By Region (U.S., Canada, Mexico, Rest Of North America, France, UK, Germany, Spain, Italy, Nordic Countries, Benelux Union, Rest Of Europe, China, Japan, India, New Zealand, Australia, South Korea, Southeast Asia, Rest Of Asia Pacific, Saudi Arabia, UAE, Egypt, Kuwait, South Africa, Rest Of MEA, Brazil, Argentina, Rest Of Latin America) – Global Insights, Growth, Size, Comparative Analysis, Trends And Forecast, 2022 – 2030

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