Data Lake Market Size & Share Analysis - Growth Trends & Forecasts (2024 - 2029)

The report covers Global Data Lakes Market Size & Growth. The market is segmented by offering (solution, service), deployment (cloud, on-premise), end-user vertical (BFSI, retail, healthcare, IT and telecommunications, manufacturing, others), and geography. The market size and forecasts are provided in terms of value (USD million) for all the above segments.

Data Lake Market Size

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Data Lakes Market Summary
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Study Period 2019 - 2029
Base Year For Estimation 2023
CAGR 22.40 %
Fastest Growing Market Asia-Pacific
Largest Market North America
Market Concentration Low

Major Players

Data Lakes Market

*Disclaimer: Major Players sorted in no particular order


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Data Lake Market Analysis

Data Lakes Market was valued at USD 11.14 billion in the current year and is expected to register a CAGR of 22.4%, reaching USD 37.76 billion in five years. A data lake is a central repository that stores large volumes of raw, structured, semi-structured, and unstructured data, making it a valuable asset for organizations seeking to extract valuable insights from their data.

  • The rise of big data and the need for advanced analytics solutions fueled the demand for data lakes. Organizations wanted to store and process vast amounts of diverse data types efficiently.
  • The proliferation of data due to adopting the Internet of Things (IoT) has been a significant driver of the data lakes market. IoT devices generate an enormous volume of data, often in real time. Data lakes can handle this massive influx of data without compromising performance.
  • Data lakes enable organizations to leverage advanced analytics capabilities and gain a competitive advantage in today's data-driven business landscape. As businesses continue to recognize the importance of data-driven insights, the demand for data lakes with advanced analytics features is expected to grow.
  • Slow onboarding and data integration challenges have been significant factors restraining the growth and adoption of data lakes in the market. Integrating data from various sources into a data lake can be complex and time-consuming. Organizations may store data in different formats, databases, and systems, requiring significant effort to harmonize and consolidate the data effectively.
  • The COVID-19 pandemic increased the changes in consumer behavior, such as increased online shopping, remote learning, virtual healthcare, and data generation. Data lakes provide suitable solutions for handling and analyzing the massive influx of data across various industries.

Data Lake Market Trends

BFSI End-user Vertical Segment is Expected to Hold Significant Market Share

  • The BFSI sector generates and handles vast amounts of data, including customer transaction data, account information, financial market data, insurance claims, credit scores, etc. Data lakes provide BSI organizations with a scalable and flexible solution for managing, processing, and analyzing this massive volume of diverse data.
  • Data lakes enable BFSI organizations to consolidate and analyze customer data from multiple sources, such as banking transactions, credit card usage, and online interactions. This consolidated view helps gain valuable insights into customer behavior, preferences, and needs, facilitating personalized, targeted marketing.
  • Data lakes are a central repository for diverse data types, including transactional data, user behavior patterns, and historical records. By applying advanced analytics and machine learning algorithms, BFSI organizations can detect and prevent fraudulent activities more effectively.
  • According to the Reserve Bank of India, In the financial year 2023, the Reserve Bank of India (RBI) reported more than 13 thousand bank fraud cases across India. This was an increase compared to the previous year and turned around the last decade's trend. The total value of bank frauds decreased from INR 1.38 trillion (USD 0.017 trillion) to INR 302 billion (USD 3.68 billion).
  • The BFSI Sector faces various risks, including credit, market, and operational risks. Data lakes allow banks and insurance companies to aggregate and analyze risk-related data to make informed decisions, manage exposures, and comply with regulatory requirements.
  • Many companies are launching and developing banking and finance solutions. In September 2022, Tres, the company that made the first financial data lake for Web3 enterprises, announced that it had raised USD 7.6 million in a seed phase led by bold start ventures, with help from F2, Mantis, New Form, The Chainsmokers, Blockdaemon Ventures, Kenetic, and Alchemy.
Data Lakes Market - Number of Bank Fraud Cases, in Units, in India, 2008-2023

North America is Expected to Hold Significant Market Share

  • North America is one of the leading regions in data lake adoption, driven by various factors, including numerous tech-savy industries, cloud infrastructure, and a strong focus on data-driven decision-making.
  • North America has many data-intensive industries, such as information technology, telecom, BFSI, healthcare, retail, and manufacturing. The massive volume of data these industries generate drives the demand for data lakes as a scalable and flexible data storage and processing solution.
  • Cloud computing is well-established and widely adopted in this region. Cloud-based data lakes offer numerous advantages, including cost-efficiency, scalability, and ease of implementation, making them an attractive choice for businesses of all sizes.
  • North American enterprises have been early adopters of advanced analytics and artificial intelligence (AI) technologies. Data lakes provide a foundation for these data-driven applications by offering a centralized repository for diverse and large datasets.
  • The growth of the Internet of Things (IoT) and big data technologies in the region generate massive amounts of diverse data. Data lakes are well suited to handle the complexity and volume of data from IoT devices and big data sources.
Data Lakes Market: Growth Rate by Region

Data Lake Industry Overview

The Data Lakes Market is fragmented with major players like Microsoft Corporation, Inc., Capgemini SE, Oracle Corporation, and Teradata Corporation. Players in the market are adopting strategies such as partnerships and acquisitions to enhance their product offerings and gain sustainable competitive advantage.

In October 2022, Capgemini announced that long-time client Panasonic Automotive Systems would get a data ecosystem. The new platform can help an organization improve at making decisions based on data and developing new ideas. This can lead to more efficient and reliable extraction.

In August 2022, Teradata announced VantageCloud Lake, Teradata's product built on a next-generation cloud-native architecture. Based on the deep history and Teradata expertise, VantageCloud Lake can bring the proven power of Teradata Vantage in the cloud, called VantageCloud Enterprise, to an offering that is born in the cloud and designed to be automatically elastic and leverage low-cost object store at its core, easy to use and scale.

Data Lake Market Leaders

  1. Microsoft Corporation

  2. Inc.

  3. Capgemini SE

  4. Oracle Corporation

  5. Teradata Corporation

*Disclaimer: Major Players sorted in no particular order

Data Lakes Market Concentration
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Data Lake Market News

  • December 2022: Atos announced the development of a new solution in collaboration with AWS that allows clients to expedite and properly monitor company key performance indicators (KPIs) by offering simple access to non-SAP and SAP data silos. "Atos' AWS Data Lake Accelerator for SAP" is an innovative solution that delivers enterprise-wide and self-service reporting for significant insights into daily changes that rapidly impact decisions to drive the bottom line.
  • November 2022: Amazon Web Services (AWS) announced the launch of Amazon Security Lake. This new cybersecurity solution automatically centralizes safety data from on-premises and cloud sources into a purpose-built data lake in a user's AWS account.

Data Lake Market Report - Table of Contents


    1. 1.1 Study Assumptions and Market Definition

    2. 1.2 Scope of the Study




    1. 4.1 Market Overview

    2. 4.2 Industry Attractiveness - Porter's Five Forces Analysis

      1. 4.2.1 Bargaining Power of Suppliers

      2. 4.2.2 Bargaining Power of Buyers

      3. 4.2.3 Threat of New Entrants

      4. 4.2.4 Threat of Substitutes

      5. 4.2.5 Intensity of Competitive Rivalry

    3. 4.3 Industry Value Chain Analysis

    4. 4.4 Assessment of Impact of COVID-19 on the Industry


    1. 5.1 Market Drivers

      1. 5.1.1 Proliferation of Data due to the Adoption of IoT

      2. 5.1.2 Need for Advanced Analytic Capabilities

    2. 5.2 Market Restraints

      1. 5.2.1 Slow Onboarding and Data Integration of Data Lakes


    1. 6.1 By Offering

      1. 6.1.1 Solution

      2. 6.1.2 Service

    2. 6.2 By Deployment

      1. 6.2.1 Cloud-based

      2. 6.2.2 On-premise

    3. 6.3 By End-user Vertical

      1. 6.3.1 IT and Telecom

      2. 6.3.2 BFSI

      3. 6.3.3 Healthcare

      4. 6.3.4 Retail

      5. 6.3.5 Manufacturing

      6. 6.3.6 Other End-user Verticals

    4. 6.4 By Geography

      1. 6.4.1 North America

        1. United States

        2. Canada

      2. 6.4.2 Europe

        1. United Kingdom

        2. Germany

        3. France

        4. Italy

        5. Rest of Europe

      3. 6.4.3 Asia Pacific

        1. China

        2. Japan

        3. India

        4. Rest of Asia Pacific

      4. 6.4.4 Latin America

        1. Mexico

        2. Brazil

        3. Argentina

        4. Rest of Latin America

      5. 6.4.5 Middle East and Africa

        1. United Arab Emirates

        2. Saudi Arabia

        3. South Africa

        4. Rest of Middle East and Africa


    1. 7.1 Key Vendor Profiles

      1. 7.1.1 Microsoft Corporation

      2. 7.1.2 Inc.

      3. 7.1.3 Capgemini SE

      4. 7.1.4 Oracle Corporation

      5. 7.1.5 Teradata Corporation

      6. 7.1.6 SAP SE

      7. 7.1.7 IBM Corporation

      8. 7.1.8 Solix Technologies Inc.

      9. 7.1.9 Informatica Corporation

      10. 7.1.10 Dell EMC

      11. 7.1.11 Snowflake Computing Inc.

      12. 7.1.12 Hitachi Data Systems



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Data Lake Industry Segmentation

A data lake is a centralized repository that allows consumers to store all the semi-structured, structured, and unstructured data at any scale. Consumers can store their data as-is without having to structure it first. They can run in different types of analytics, from dashboards and visualizations to big data processing, real-time analytics, and machine learning, to make better decisions.

The data lakes market is segmented by offering (solution, service), by deployment (cloud, on-premise), by end-user vertical (IT and telecom, BFSI, healthcare, retail, manufacturing, other end-user verticals)), by geography (North America (United States, Canada), Europe (United Kingdom, Germany, France, Italy, Rest of Europe), Asia Pacific (China, Japan, India, Rest of Asia Pacific), Latin America (Mexico, Brazil, Argentina, Rest of Latin America), Middle East and Africa (United Arab Emirates, Saudi Arabia, South Africa, Rest of the Middle East and Africa).

The market sizes and forecasts are provided in terms of value in USD for all the above segments.

By Offering
By Deployment
By End-user Vertical
IT and Telecom
Other End-user Verticals
By Geography
North America
United States
United Kingdom
Rest of Europe
Asia Pacific
Rest of Asia Pacific
Latin America
Rest of Latin America
Middle East and Africa
United Arab Emirates
Saudi Arabia
South Africa
Rest of Middle East and Africa
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Data Lake Market Research FAQs

The Data Lakes Market is projected to register a CAGR of 22.40% during the forecast period (2024-2029)

Microsoft Corporation, Inc., Capgemini SE, Oracle Corporation and Teradata Corporation are the major companies operating in the Data Lakes Market.

Asia-Pacific is estimated to grow at the highest CAGR over the forecast period (2024-2029).

In 2024, the North America accounts for the largest market share in Data Lakes Market.

The report covers the Data Lakes Market historical market size for years: 2019, 2020, 2021, 2022 and 2023. The report also forecasts the Data Lakes Market size for years: 2024, 2025, 2026, 2027, 2028 and 2029.

Data Lakes Industry Report

Statistics for the 2024 Data Lakes market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Data Lakes analysis includes a market forecast outlook to for 2024 to 2029 and historical overview. Get a sample of this industry analysis as a free report PDF download.

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Data Lake Market Size & Share Analysis - Growth Trends & Forecasts (2024 - 2029)