Data Lake Market Size - By Component, Deployment Model, Enterprise Size, Industry Vertical & Forecast, 2023

Description

List of Tables

Data Lake Market size is estimated to expand at over 20% CAGR from 2023 to 2032 driven by the escalating demand for enhanced business intelligence (BI) and reporting capabilities. With organizations prioritizing data-driven decision-making, data lakes are serving as centralized repositories for enabling comprehensive analysis and reporting. Additionally, businesses are increasingly relying on advanced BI tools to derive actionable information, further driving the need for data lakes for providing the necessary infrastructure to support these tools.

Furthermore, the ongoing advancements, such as improved data management tools and analytics platforms are attracting multiple businesses for seeking cutting-edge technologies to meet their evolving data storage and analytics needs, augmenting the industry outlook. For instance, in June 2023, Starburst unveiled its data lake analytics platform vision by introducing a series of groundbreaking capabilities and providing a single point of access for teams to discover, govern, and analyze the data in and around the data lake.

The data lake industry is segmented into component, deployment model, enterprise size, industry vertical, and region.

Based on component, the market share from the services segment is anticipated to gain significant traction from 2023-2032. With organizations increasingly recognizing the complexity of implementing and managing data lakes, the demand for specialized services including consulting, integration, and maintenance is rising. Furthermore, service providers are assisting businesses in designing, deploying, and optimizing data lake architectures for ensuring efficient data management and analytics, contributing to the increasing adoption of data lake architectures.

With respect to industry vertical, the data lake industry from the IT and telecom segment is projected to witness high demand between 2023 to 2032. Data lakes provide centralized and scalable solutions for enabling IT and telecom companies to extract valuable insights, enhance network performance, and make informed strategic decisions. The increasing adoption of data lakes by IT and telecom businesses for the management of diverse data sources, real-time analytics, and increasing data volume will propel the segment growth.

Asia Pacific data lake industry accounted for sizable revenue share in 2022 and is estimated to exhibit robust growth rate through 2032 due to the dynamic digital landscape in the region. Increasing data generation coupled with the higher adoption of big data analytics is fueling the demand for scalable and flexible data storage solutions. Countries including China, India, and Japan are also witnessing surge in data-driven initiatives across various industries, further providing potential growth opportunities to the regional industry participants. For instance, in June 2023, CMD Solutions, a Mantel Group consultant, announced plans to provide Amazon Security Lake in APAC to become the first AWS partner to offer the service.

Product Code: 6714

Chapter 1 Methodology & Scope

1.1 Market definitions
1.2 Base estimates & calculations
1.3 Forecast calculation
1.4 Data sources
- 1.4.1 Primary
- 1.4.2 Secondary
  - 1.4.2.1 Paid sources
  - 1.4.2.2 Public sources

Chapter 2 Executive Summary

2.1 Data Lake market 360 degree synopsis, 2018 - 2032
2.2 Regional trends
2.3 Component trends
2.4 Deployment trends
2.5 End-use Industry trends

Chapter 3 Data Lake Market Industry Insights

3.1 Impact of COVID-19
3.2 Impact of Russia-Ukraine war
3.3 Industry ecosystem analysis
3.4 Vendor matrix
3.5 Profit margin analysis
3.6 Technology & innovation landscape
3.7 Patent analysis
3.8 Key news and initiatives
3.9 Regulatory landscape
3.10 Impact forces
- 3.10.1 Growth drivers
  - 3.10.1.1 Rising Big Data Application
  - 3.10.1.2 Increasing Adoption of Advanced Analytics
  - 3.10.1.3 Demand for Real-Time Data Analytics
- 3.10.2 Industry pitfalls & challenges
  - 3.10.2.1 Data Quality and Governance Challenges
  - 3.10.2.2 Complexity of Implementations
3.11 Growth potential analysis
3.12 Porter's analysis
3.13 PESTEL analysis

Chapter 4 Competitive Landscape, 2022

4.1 Introduction
4.2 Company market share, 2022
4.3 Competitive analysis of major market players, 2022
- 4.3.1 IBM
- 4.3.2 Microsoft Coporation
- 4.3.3 Oracle Corporation
- 4.3.4 Gooogle Inc.
- 4.3.5 Amazon Web Services
- 4.3.6 Cloudera
- 4.3.7 Databricks
4.4 Competitive positioning matrix, 2022
4.5 Strategic outlook matrix, 2022

Chapter 5 Data Lake Market Estimates & Forecast, By Component

5.1 Key trends, by component
- 5.1.1 Solution
  - 5.1.1.1 Data Discovery
  - 5.1.1.2 Data Lake Analytics
  - 5.1.1.3 Data Visualization
  - 5.1.1.4 Others
- 5.1.2 Services
  - 5.1.2.1 Managed
  - 5.1.2.2 Professional

Chapter 6 Data Lake Market Estimates & Forecast, By Deployment Model

6.1 Key trends, by deployment model
6.2 On-premise
6.3 Cloud

Chapter 7 Data Lake Market Estimates & Forecast, By Enterprise Size

7.1 Key trends, by enterprise size
7.2 Large Enterprise
7.3 SMEs

Chapter 8 Data Lake Market Estimates & Forecast, By End-use Industry

8.1 Key trends, by end-use industry
8.2 BFSI
8.3 IT & Telecom
8.4 Retail & E-commerce
8.5 Healthcare
8.6 Manufacturing
8.7 Others

Chapter 9 Data Lake Market Estimates & Forecast, By Region

9.1 Key trends, by region
9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
9.3 Europe
- 9.3.1 UK
- 9.3.2 Germany
- 9.3.3 France
- 9.3.4 Italy
- 9.3.5 Spain
- 9.3.6 Russia
- 9.3.7 Nordics
9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 Japan
- 9.4.3 India
- 9.4.4 South Korea
- 9.4.5 ANZ
- 9.4.6 Southeast Asia
9.5 Latin America
- 9.5.1 Brazil
- 9.5.2 Mexico
- 9.5.3 Argentina
9.6 MEA
- 9.6.1 UAE
- 9.6.2 Saudi Arabia
- 9.6.3 South Africa

Chapter 10 Company Profiles

10.1 IBM
10.2 Microsoft Coporation
10.3 Oracle Corporation
10.4 Gooogle Inc.
10.5 Amazon Web Services
10.6 Cloudera
10.7 Databricks
10.8 HP Enteprises
10.9 Snowflake
10.10 Teradata
10.11 EDB
10.12 Idera (Qubole)
10.13 Starburst
10.14 Dremio
10.15 Vertica
10.16 Informatica Corporation
10.17 SAS Institutes
10.18 Zaloni
10.19 Koverse