Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Cloud-based Data Lake Market by Type (Solution, Services), By Application (IT, BFSI, Retail, Healthcare, Media and Entertainment, Manufacturing, Others) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Cloud-based Data Lake Market by Type (Solution, Services), By Application (IT, BFSI, Retail, Healthcare, Media and Entertainment, Manufacturing, Others) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 234821 4200 Service & Software 377 167 Pages 4.8 (37)
                                          

Market Overview:


The global cloud-based data lake market is expected to grow at a CAGR of over 28% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for big data and analytics solutions, growing need for data monetization, and rising trend of cloud-based deployments. The global cloud-based data lake market is segmented on the basis of type, application, and region. On the basis of type, the market is segmented into solution and services. The solution segment is further subsegmented into software and platform. The services segment includes professional services and managed services. By application, the market is divided into IT, BFSI (banking, financial services & insurance), retail & ecommerce,, healthcare & life sciences,, media & entertainment,, manufacturing,, transportation& logistics,.and others including government sector).


Global Cloud-based Data Lake Industry Outlook


Product Definition:


A cloud-based data lake is a storage repository that holds vast amounts of data in its native format until it is needed. The importance of a cloud-based data lake is that it allows businesses to store and access massive amounts of data quickly and easily. This can be used for a variety of purposes, such as analyzing customer behavior, improving product offerings, or predicting outcomes.


Solution:


Solution is a set of functionalities provided to customer by Cloud-based Data Lake company. It can be in the form of a standalone service or as part of larger solution offering. The key factor driving demand for solutions is their ability to reduce cost and improve operational efficiency for customers, which are crucial factors for any organization's growth and profitability.


Cloud-based data lakes have been gaining popularity among organizations that require large amounts of structured.


Services:


Data lakes are reservoirs of unstructured and structured data. It can be defined as a body of water or large pool of water that holds information which can be used by different species for survival. In the IT industry, it is used to store information which is extracted from different sources such as social media, web pages, emails etc. Data lakes are also known as Information Bottles or Big Data Stores (BDS).


Application Insights:


The IT segment accounted for the largest revenue share in 2017 and is anticipated to continue its dominance over the forecast period. The growing demand for data analytics and Big Data solutions has created a need for colocation of various cloud-based systems, which results in increased usage of data lake infrastructure. Furthermore, companies are focusing on reducing their dependence on physical servers by moving towards a virtualized environment with hypervisor. This further increases the requirements of storage as well as computing resources, thus driving the market growth.


The BFSI segment is expected to register significant growth over the forecast period owing to increasing adoption of cloud-based technologies across banks and financial institutions for processing large volumes of data quickly while maintaining high availability & reliability required by regulators & customers worldwide. Moreover, increasing penetration & usage cases such as fraud detection/prevention applications have resulted in increased requirement colocation facilities between different components within an organization (elements - Application Servers; middleware - Data Services; database servers).


Regional Analysis:


North America is expected to be the key regional market over the forecast period owing to early adoption of technologies and presence of a large number of players. The U.S. has been witnessing rapid growth in industries, such as manufacturing, healthcare, retail and others that are adopting cloud-based data lake solutions for their business operations.


The Asia Pacific region is anticipated to witness significant growth over the forecast period owing to increasing investments in digital transformation initiatives by various organizations within countries like China and India along with other emerging economies across this region will drive demand for these solutions significantly over the next eight years.


Growth Factors:


  • Increased demand for data storage and management: The global data volume is expected to grow to 163 zettabytes by 2025, according to a study by IDC. This is largely due to the growth of digital data from new sources such as the Internet of Things (IoT) and artificial intelligence (AI). Cloud-based data lakes can store and manage this ever-growing volume of data more efficiently and at a lower cost than traditional on-premises storage solutions.
  • Growing need for big data analytics: With so much digital data being generated, businesses need powerful tools to help them make sense of it all. Big Data analytics can provide valuable insights that can help businesses improve their operations, marketing efforts, product development, etc. Cloud-based Data Lakes offer an ideal platform for big data analytics due to their scalability and flexibility.
  • Increasing use of AI/machine learning: As AI/machine learning becomes more prevalent in business applications, there will be an increased demand for platforms that can support these technologies effectively. A cloud-based Data Lake is well suited for this task as it provides the scalability and flexibility needed to handle large amounts of trainingdata quickly and efficiently .

Scope Of The Report

Report Attributes

Report Details

Report Title

Cloud-based Data Lake Market Research Report

By Type

Solution, Services

By Application

IT, BFSI, Retail, Healthcare, Media and Entertainment, Manufacturing, Others

By Companies

Amazon Web Services, Cloudera, Dremio, Informatica, Microsoft, Oracle Corporation, SAS Institute, Snowflake, Teradata, Zaloni

Regions Covered

North America, Europe, APAC, Latin America, MEA

Base Year

2021

Historical Year

2019 to 2020 (Data from 2010 can be provided as per availability)

Forecast Year

2030

Number of Pages

167

Number of Tables & Figures

117

Customization Available

Yes, the report can be customized as per your need.


Global Cloud-based Data Lake Market Report Segments:

The global Cloud-based Data Lake market is segmented on the basis of:

Types

Solution, Services

The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.

Applications

IT, BFSI, Retail, Healthcare, Media and Entertainment, Manufacturing, Others

The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.

Some of the companies that are profiled in this report are:

  1. Amazon Web Services
  2. Cloudera
  3. Dremio
  4. Informatica
  5. Microsoft
  6. Oracle Corporation
  7. SAS Institute
  8. Snowflake
  9. Teradata
  10. Zaloni

Global Cloud-based Data Lake Market Overview


Highlights of The Cloud-based Data Lake Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. Solution
    2. Services
  1. By Application:

    1. IT
    2. BFSI
    3. Retail
    4. Healthcare
    5. Media and Entertainment
    6. Manufacturing
    7. Others
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. Government Policies, Macro & Micro economic factors are also included in the report.

We have studied the Cloud-based Data Lake Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.

Regional Analysis

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.

The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.

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Global Cloud-based Data Lake Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. Customization of the Report Available

Frequently Asked Questions?


A cloud-based data lake is a centralized repository of data that can be accessed by users through the internet. This type of database is typically used for storing large amounts of data that needs to be easily accessible and managed.

Some of the major companies in the cloud-based data lake market are Amazon Web Services, Cloudera, Dremio, Informatica, Microsoft, Oracle Corporation, SAS Institute, Snowflake, Teradata, Zaloni.

The cloud-based data lake market is expected to register a CAGR of 28%.

                                            
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Cloud-based Data Lake Market Overview    4.1 Introduction       4.1.1 Market Taxonomy       4.1.2 Market Definition       4.1.3 Macro-Economic Factors Impacting the Market Growth    4.2 Cloud-based Data Lake Market Dynamics       4.2.1 Market Drivers       4.2.2 Market Restraints       4.2.3 Market Opportunity    4.3 Cloud-based Data Lake Market - Supply Chain Analysis       4.3.1 List of Key Suppliers       4.3.2 List of Key Distributors       4.3.3 List of Key Consumers    4.4 Key Forces Shaping the Cloud-based Data Lake Market       4.4.1 Bargaining Power of Suppliers       4.4.2 Bargaining Power of Buyers       4.4.3 Threat of Substitution       4.4.4 Threat of New Entrants       4.4.5 Competitive Rivalry    4.5 Global Cloud-based Data Lake Market Size & Forecast, 2018-2028       4.5.1 Cloud-based Data Lake Market Size and Y-o-Y Growth       4.5.2 Cloud-based Data Lake Market Absolute $ Opportunity

Chapter 5 Global Cloud-based Data Lake Market Analysis and Forecast by Type
   5.1 Introduction
      5.1.1 Key Market Trends & Growth Opportunities by Type
      5.1.2 Basis Point Share (BPS) Analysis by Type
      5.1.3 Absolute $ Opportunity Assessment by Type
   5.2 Cloud-based Data Lake Market Size Forecast by Type
      5.2.1 Solution
      5.2.2 Services
   5.3 Market Attractiveness Analysis by Type

Chapter 6 Global Cloud-based Data Lake Market Analysis and Forecast by Applications
   6.1 Introduction
      6.1.1 Key Market Trends & Growth Opportunities by Applications
      6.1.2 Basis Point Share (BPS) Analysis by Applications
      6.1.3 Absolute $ Opportunity Assessment by Applications
   6.2 Cloud-based Data Lake Market Size Forecast by Applications
      6.2.1 IT
      6.2.2 BFSI
      6.2.3 Retail
      6.2.4 Healthcare
      6.2.5 Media and Entertainment
      6.2.6 Manufacturing
      6.2.7 Others
   6.3 Market Attractiveness Analysis by Applications

Chapter 7 Global Cloud-based Data Lake Market Analysis and Forecast by Region
   7.1 Introduction
      7.1.1 Key Market Trends & Growth Opportunities by Region
      7.1.2 Basis Point Share (BPS) Analysis by Region
      7.1.3 Absolute $ Opportunity Assessment by Region
   7.2 Cloud-based Data Lake Market Size Forecast by Region
      7.2.1 North America
      7.2.2 Europe
      7.2.3 Asia Pacific
      7.2.4 Latin America
      7.2.5 Middle East & Africa (MEA)
   7.3 Market Attractiveness Analysis by Region

Chapter 8 Coronavirus Disease (COVID-19) Impact 
   8.1 Introduction 
   8.2 Current & Future Impact Analysis 
   8.3 Economic Impact Analysis 
   8.4 Government Policies 
   8.5 Investment Scenario

Chapter 9 North America Cloud-based Data Lake Analysis and Forecast
   9.1 Introduction
   9.2 North America Cloud-based Data Lake Market Size Forecast by Country
      9.2.1 U.S.
      9.2.2 Canada
   9.3 Basis Point Share (BPS) Analysis by Country
   9.4 Absolute $ Opportunity Assessment by Country
   9.5 Market Attractiveness Analysis by Country
   9.6 North America Cloud-based Data Lake Market Size Forecast by Type
      9.6.1 Solution
      9.6.2 Services
   9.7 Basis Point Share (BPS) Analysis by Type 
   9.8 Absolute $ Opportunity Assessment by Type 
   9.9 Market Attractiveness Analysis by Type
   9.10 North America Cloud-based Data Lake Market Size Forecast by Applications
      9.10.1 IT
      9.10.2 BFSI
      9.10.3 Retail
      9.10.4 Healthcare
      9.10.5 Media and Entertainment
      9.10.6 Manufacturing
      9.10.7 Others
   9.11 Basis Point Share (BPS) Analysis by Applications 
   9.12 Absolute $ Opportunity Assessment by Applications 
   9.13 Market Attractiveness Analysis by Applications

Chapter 10 Europe Cloud-based Data Lake Analysis and Forecast
   10.1 Introduction
   10.2 Europe Cloud-based Data Lake Market Size Forecast by Country
      10.2.1 Germany
      10.2.2 France
      10.2.3 Italy
      10.2.4 U.K.
      10.2.5 Spain
      10.2.6 Russia
      10.2.7 Rest of Europe
   10.3 Basis Point Share (BPS) Analysis by Country
   10.4 Absolute $ Opportunity Assessment by Country
   10.5 Market Attractiveness Analysis by Country
   10.6 Europe Cloud-based Data Lake Market Size Forecast by Type
      10.6.1 Solution
      10.6.2 Services
   10.7 Basis Point Share (BPS) Analysis by Type 
   10.8 Absolute $ Opportunity Assessment by Type 
   10.9 Market Attractiveness Analysis by Type
   10.10 Europe Cloud-based Data Lake Market Size Forecast by Applications
      10.10.1 IT
      10.10.2 BFSI
      10.10.3 Retail
      10.10.4 Healthcare
      10.10.5 Media and Entertainment
      10.10.6 Manufacturing
      10.10.7 Others
   10.11 Basis Point Share (BPS) Analysis by Applications 
   10.12 Absolute $ Opportunity Assessment by Applications 
   10.13 Market Attractiveness Analysis by Applications

Chapter 11 Asia Pacific Cloud-based Data Lake Analysis and Forecast
   11.1 Introduction
   11.2 Asia Pacific Cloud-based Data Lake Market Size Forecast by Country
      11.2.1 China
      11.2.2 Japan
      11.2.3 South Korea
      11.2.4 India
      11.2.5 Australia
      11.2.6 South East Asia (SEA)
      11.2.7 Rest of Asia Pacific (APAC)
   11.3 Basis Point Share (BPS) Analysis by Country
   11.4 Absolute $ Opportunity Assessment by Country
   11.5 Market Attractiveness Analysis by Country
   11.6 Asia Pacific Cloud-based Data Lake Market Size Forecast by Type
      11.6.1 Solution
      11.6.2 Services
   11.7 Basis Point Share (BPS) Analysis by Type 
   11.8 Absolute $ Opportunity Assessment by Type 
   11.9 Market Attractiveness Analysis by Type
   11.10 Asia Pacific Cloud-based Data Lake Market Size Forecast by Applications
      11.10.1 IT
      11.10.2 BFSI
      11.10.3 Retail
      11.10.4 Healthcare
      11.10.5 Media and Entertainment
      11.10.6 Manufacturing
      11.10.7 Others
   11.11 Basis Point Share (BPS) Analysis by Applications 
   11.12 Absolute $ Opportunity Assessment by Applications 
   11.13 Market Attractiveness Analysis by Applications

Chapter 12 Latin America Cloud-based Data Lake Analysis and Forecast
   12.1 Introduction
   12.2 Latin America Cloud-based Data Lake Market Size Forecast by Country
      12.2.1 Brazil
      12.2.2 Mexico
      12.2.3 Rest of Latin America (LATAM)
   12.3 Basis Point Share (BPS) Analysis by Country
   12.4 Absolute $ Opportunity Assessment by Country
   12.5 Market Attractiveness Analysis by Country
   12.6 Latin America Cloud-based Data Lake Market Size Forecast by Type
      12.6.1 Solution
      12.6.2 Services
   12.7 Basis Point Share (BPS) Analysis by Type 
   12.8 Absolute $ Opportunity Assessment by Type 
   12.9 Market Attractiveness Analysis by Type
   12.10 Latin America Cloud-based Data Lake Market Size Forecast by Applications
      12.10.1 IT
      12.10.2 BFSI
      12.10.3 Retail
      12.10.4 Healthcare
      12.10.5 Media and Entertainment
      12.10.6 Manufacturing
      12.10.7 Others
   12.11 Basis Point Share (BPS) Analysis by Applications 
   12.12 Absolute $ Opportunity Assessment by Applications 
   12.13 Market Attractiveness Analysis by Applications

Chapter 13 Middle East & Africa (MEA) Cloud-based Data Lake Analysis and Forecast
   13.1 Introduction
   13.2 Middle East & Africa (MEA) Cloud-based Data Lake Market Size Forecast by Country
      13.2.1 Saudi Arabia
      13.2.2 South Africa
      13.2.3 UAE
      13.2.4 Rest of Middle East & Africa (MEA)
   13.3 Basis Point Share (BPS) Analysis by Country
   13.4 Absolute $ Opportunity Assessment by Country
   13.5 Market Attractiveness Analysis by Country
   13.6 Middle East & Africa (MEA) Cloud-based Data Lake Market Size Forecast by Type
      13.6.1 Solution
      13.6.2 Services
   13.7 Basis Point Share (BPS) Analysis by Type 
   13.8 Absolute $ Opportunity Assessment by Type 
   13.9 Market Attractiveness Analysis by Type
   13.10 Middle East & Africa (MEA) Cloud-based Data Lake Market Size Forecast by Applications
      13.10.1 IT
      13.10.2 BFSI
      13.10.3 Retail
      13.10.4 Healthcare
      13.10.5 Media and Entertainment
      13.10.6 Manufacturing
      13.10.7 Others
   13.11 Basis Point Share (BPS) Analysis by Applications 
   13.12 Absolute $ Opportunity Assessment by Applications 
   13.13 Market Attractiveness Analysis by Applications

Chapter 14 Competition Landscape 
   14.1 Cloud-based Data Lake Market: Competitive Dashboard
   14.2 Global Cloud-based Data Lake Market: Market Share Analysis, 2019
   14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      14.3.1 Amazon Web Services
      14.3.2 Cloudera
      14.3.3 Dremio
      14.3.4 Informatica
      14.3.5 Microsoft
      14.3.6 Oracle Corporation
      14.3.7 SAS Institute
      14.3.8 Snowflake
      14.3.9 Teradata
      14.3.10 Zaloni

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