Data Lake Market

Data Lake Market



Growth Factors of Data Lake Market

The data lake market size was valued at USD 5.80 billion in 2022, and the market is now projected to grow from USD 7.05 billion in 2023 to USD 34.07 billion by 2030, exhibiting a CAGR of 25.3% during the forecast period of 2023-2030.

In the pandemic, researchers and scientists were using huge amounts of data for production of drugs and vaccines for the infection. The extensive implementation of cloud-based solutions increased demand for the product. Lockdowns and movement restrictions had further boosted the market growth. The rising adoption of such services during COVID-19 has boosted the data lake market growth.

The data lake market share globally has increased because of the rising demand for effective solutions among organizations. Big companies are investing heavily in centralized data security solutions. It can manage and diminish data theft and cybersecurity concerns. The data privacy conventions worldwide are becoming gradually more stringent and organizations are obliged to protect the personal information they collect is enhancing the market expansion.

The trend is that the rising acceptance of service based on cloud methods amongst firms is propelling the market growth. Cloud service providers are creating robust solutions that make it easier for organizations to deploy and scale the software. This migration lessens the burden of infrastructure management and provides cost-effective storage and computing options. The agility of cloud technologies allows businesses to rapidly adapt to varying data needs and employ advanced analytics services as a strategic option for modern data management.

Comprehensive Analysis of Data Lake Market

The data lake market and information & communication technology industry is rising at an exponential rate due to its market segmentation. This market expansion effectively provides a detailed regional assessment considering the dominant supply and demand forces that impact the information & communication technology industry. These segmentations are methodically segregated by types of deployment, enterprise type, business function, and industry. The deployments include cloud-based and on-premise. The enterprise type is such as large enterprises and small & medium enterprises, the business functions involve marketing, HR, finance, and operations. The industry consists of BFSI, IT & telecom, healthcare & life science, retails & e-commerce, manufacturing, energy & utilizes, and others.

The North American region is conducive to the global data lake market, leading to a recall of USD 1.39 billion owing to the increasing usage of big data technology, growing adoption of data across industry verticals, and increasing investments by ventures in the solutions.

The top players in the market play a crucial role in the information & communication technology industry assuring industrial prospectus growth and setting market standards. These players include Microsoft (U.S.), Teradata (U.S.), Oracle Corporation (U.S.), Cloudera (U.S.), AWS (U.S.), IBM Corporation (U.S.), Informatica (U.S.), Snowflake (U.S.), Dremio (U.S.), and Zaloni (U.S.), these market players provide a level-playing competitive landscape.

In April 2023, IBM Corporation announced the launch of a new QRadar Security Suite to accelerate threat detection and response. The initiation of the new technology will help improve the productivity of security teams by facilitating analysts to respond faster and more efficiently, thus freeing them up for higher-value work.

Segmentation Table

Global Data Lake Market Scope

ATTRIBUTE DETAILS

Study Period 2017-2030

Base Year 2022

Estimated Year 2023

Forecast Period 2023-2030

Historical Period 2017-2021

Growth Rate CAGR of 25.3% from 2023 to 2030

Unit Value (USD Billion)

Segmentation By Deployment

Cloud-based

On-premise

By Enterprise Type

Large Enterprises

Small & Medium Enterprises

By Business Function

Marketing

HR

Finance

Operations

By Industry

BFSI

IT & Telecom

Healthcare & Life Science

Retail & Ecommerce

Manufacturing

Energy & Utilities

Others (Government, etc.)

By Region

North America (By Deployment, By Enterprise Type, By Business Function, By Industry, and By Country)
  • U.S. (By Industry)
  • Canada (By Industry)
  • Mexico (By Industry)
South America (By Deployment, By Enterprise Type, By Business Function, By Industry, and By Country)
  • Brazil (By Industry)
  • Argentina (By Industry)
  • Rest of South America
Europe (By Deployment, By Enterprise Type, By Business Function, By Industry, and By Country)
  • Germany (By Industry)
  • France (By Industry)
  • Italy (By Industry)
  • Spain (By Industry)
  • Russia (By Industry)
  • Benelux (By Industry)
  • Nordics (By Industry)
  • Rest of Europe
Middle East & Africa (By Deployment, By Enterprise Type, By Business Function, By Industry, and By Country)
  • Turkey (By Industry)
  • Israel (By Industry)
  • GCC (By Industry)
  • South Africa (By Industry)
  • North Africa (By Industry)
  • Rest of the Middle East & Africa
  • Asia Pacific (By Deployment, By Enterprise Type, By Business Function, By Industry, and By Country)
- China (By Industry)

- India (By Industry)

- Japan (By Industry)

- South Korea (By Industry)

- ASEAN (By Industry)

- Oceania (By Industry)

Rest of Asia Pacific


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1. Introduction
1.1. Definition, By Segment
1.2. Research Methodology/Approach
1.3. Data Sources
2. Executive Summary
3. Market Dynamics
3.1. Macro and Micro Economic Indicators
3.2. Drivers, Restraints, Opportunities and Trends
3.3. Impact of COVID-19
4. Competition Landscape
4.1. Business Strategies Adopted by Key Players
4.2. Consolidated SWOT Analysis of Key Players
4.3. Global Data Lake Key Players Market Share/Ranking, 2022
5. Global Data Lake Market Size Estimates and Forecasts, By Segments, 2017-2030
5.1. Key Findings
5.2. By Deployment (USD)
5.2.1. Cloud-based
5.2.2. On-premise
5.3. By Enterprise Type (USD)
5.3.1. Large Enterprises
5.3.2. Small & Medium Enterprises
5.4. By Business Function (USD)
5.4.1. Marketing
5.4.2. HR
5.4.3. Finance
5.4.4. Operations
5.5. By Industry (USD)
5.5.1. BFSI
5.5.2. IT & Telecom
5.5.3. Healthcare & Life Science
5.5.4. Retail & Ecommerce
5.5.5. Manufacturing
5.5.6. Energy & Utilities
5.5.7. Others (Government, etc.)
5.6. By Region (USD)
5.6.1. North America
5.6.2. South America
5.6.3. Europe
5.6.4. Middle East & Africa
5.6.5. Asia Pacific
6. North America Data Lake Market Size Estimates and Forecasts, By Segments, 2017-2030
6.1. Key Findings
6.2. By Deployment (USD)
6.2.1. Cloud-based
6.2.2. On-premise
6.3. By Enterprise Type (USD)
6.3.1. Large Enterprises
6.3.2. Small & Medium Enterprises
6.4. By Business Function (USD)
6.4.1. Marketing
6.4.2. HR
6.4.3. Finance
6.4.4. Operations
6.5. By Industry (USD)
6.5.1. BFSI
6.5.2. IT & Telecom
6.5.3. Healthcare & Life Science
6.5.4. Retail & Ecommerce
6.5.5. Manufacturing
6.5.6. Energy & Utilities
6.5.7. Others (Government, etc.)
6.6. By Country (USD)
6.6.1. United States
6.6.1.1. By Industry
6.6.2. Canada
6.6.2.1. By Industry
6.6.3. Mexico
6.6.3.1. By Industry
7. South America Data Lake Market Size Estimates and Forecasts, By Segments, 2017-2030
7.1. Key Findings
7.2. By Deployment (USD)
7.2.1. Cloud-based
7.2.2. On-premise
7.3. By Enterprise Type (USD)
7.3.1. Large Enterprises
7.3.2. Small & Medium Enterprises
7.4. By Business Function (USD)
7.4.1. Marketing
7.4.2. HR
7.4.3. Finance
7.4.4. Operations
7.5. By Industry (USD)
7.5.1. BFSI
7.5.2. IT & Telecom
7.5.3. Healthcare & Life Science
7.5.4. Retail & Ecommerce
7.5.5. Manufacturing
7.5.6. Energy & Utilities
7.5.7. Others (Government, etc.)
7.6. By Country (USD)
7.6.1. Brazil
7.6.1.1. By Industry
7.6.2. Argentina
7.6.2.1. By Industry
7.6.3. Rest of South America
8. Europe Data Lake Market Size Estimates and Forecasts, By Segments, 2017-2030
8.1. Key Findings
8.2. By Deployment (USD)
8.2.1. Cloud-based
8.2.2. On-premise
8.3. By Enterprise Type (USD)
8.3.1. Large Enterprises
8.3.2. Small & Medium Enterprises
8.4. By Business Function (USD)
8.4.1. Marketing
8.4.2. HR
8.4.3. Finance
8.4.4. Operations
8.5. By Industry (USD)
8.5.1. BFSI
8.5.2. IT & Telecom
8.5.3. Healthcare & Life Science
8.5.4. Retail & Ecommerce
8.5.5. Manufacturing
8.5.6. Energy & Utilities
8.5.7. Others (Government, etc.)
8.6. By Country (USD)
8.6.1. United Kingdom
8.6.1.1. By Industry
8.6.2. Germany
8.6.2.1. By Industry
8.6.3. France
8.6.3.1. By Industry
8.6.4. Italy
8.6.4.1. By Industry
8.6.5. Spain
8.6.5.1. By Industry
8.6.6. Russia
8.6.6.1. By Industry
8.6.7. Benelux
8.6.7.1. By Industry
8.6.8. Nordics
8.6.8.1. By Industry
8.6.9. Rest of Europe
9. Middle East & Africa Data Lake Market Size Estimates and Forecasts, By Segments, 2017-2030
9.1. Key Findings
9.2. By Deployment (USD)
9.2.1. Cloud-based
9.2.2. On-premise
9.3. By Enterprise Type (USD)
9.3.1. Large Enterprises
9.3.2. Small & Medium Enterprises
9.4. By Business Function (USD)
9.4.1. Marketing
9.4.2. HR
9.4.3. Finance
9.4.4. Operations
9.5. By Industry (USD)
9.5.1. BFSI
9.5.2. IT & Telecom
9.5.3. Healthcare & Life Science
9.5.4. Retail & Ecommerce
9.5.5. Manufacturing
9.5.6. Energy & Utilities
9.5.7. Others (Government, etc.)
9.6. By Country (USD)
9.6.1. Turkey
9.6.1.1. By Industry
9.6.2. Israel
9.6.2.1. By Industry
9.6.3. GCC
9.6.3.1. By Industry
9.6.4. North Africa
9.6.4.1. By Industry
9.6.5. South Africa
9.6.5.1. By Industry
9.6.6. Rest of MEA
10. Asia Pacific Data Lake Market Size Estimates and Forecasts, By Segments, 2017-2030
10.1. Key Findings
10.2. By Deployment (USD)
10.2.1. Cloud-based
10.2.2. On-premise
10.3. By Enterprise Type (USD)
10.3.1. Large Enterprises
10.3.2. Small & Medium Enterprises
10.4. By Business Function (USD)
10.4.1. Marketing
10.4.2. HR
10.4.3. Finance
10.4.4. Operations
10.5. By Industry (USD)
10.5.1. BFSI
10.5.2. IT & Telecom
10.5.3. Healthcare & Life Science
10.5.4. Retail & Ecommerce
10.5.5. Manufacturing
10.5.6. Energy & Utilities
10.5.7. Others (Government, etc.)
10.6. By Country (USD)
10.6.1. China
10.6.1.1. By Industry
10.6.2. India
10.6.2.1. By Industry
10.6.3. Japan
10.6.3.1. By Industry
10.6.4. South Korea
10.6.4.1. By Industry
10.6.5. ASEAN
10.6.5.1. By Industry
10.6.6. Oceania
10.6.6.1. By Industry
10.6.7. Rest of Asia Pacific
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
11.1. Microsoft
11.1.1. Overview
11.1.1.1. Key Management
11.1.1.2. Headquarters
11.1.1.3. Offerings/Business Segments
11.1.2. Key Details (Key details are consolidated data and not product/service specific)
11.1.2.1. Employee Size
11.1.2.2. Past and Current Revenue
11.1.2.3. Geographical Share
11.1.2.4. Business Segment Share
11.1.2.5. Recent Developments
11.2. Teradata
11.2.1. Overview
11.2.1.1. Key Management
11.2.1.2. Headquarters
11.2.1.3. Offerings/Business Segments
11.2.2. Key Details (Key details are consolidated data and not product/service specific)
11.2.2.1. Employee Size
11.2.2.2. Past and Current Revenue
11.2.2.3. Geographical Share
11.2.2.4. Business Segment Share
11.2.2.5. Recent Developments
11.3. Oracle Corporation
11.3.1. Overview
11.3.1.1. Key Management
11.3.1.2. Headquarters
11.3.1.3. Offerings/Business Segments
11.3.2. Key Details (Key details are consolidated data and not product/service specific)
11.3.2.1. Employee Size
11.3.2.2. Past and Current Revenue
11.3.2.3. Geographical Share
11.3.2.4. Business Segment Share
11.3.2.5. Recent Developments
11.4. Cloudera
11.4.1. Overview
11.4.1.1. Key Management
11.4.1.2. Headquarters
11.4.1.3. Offerings/Business Segments
11.4.2. Key Details (Key details are consolidated data and not product/service specific)
11.4.2.1. Employee Size
11.4.2.2. Past and Current Revenue
11.4.2.3. Geographical Share
11.4.2.4. Business Segment Share
11.4.2.5. Recent Developments
11.5. AWS
11.5.1. Overview
11.5.1.1. Key Management
11.5.1.2. Headquarters
11.5.1.3. Offerings/Business Segments
11.5.2. Key Details (Key details are consolidated data and not product/service specific)
11.5.2.1. Employee Size
11.5.2.2. Past and Current Revenue
11.5.2.3. Geographical Share
11.5.2.4. Business Segment Share
11.5.2.5. Recent Developments
11.6. IBM Corporation
11.6.1. Overview
11.6.1.1. Key Management
11.6.1.2. Headquarters
11.6.1.3. Offerings/Business Segments
11.6.2. Key Details (Key details are consolidated data and not product/service specific)
11.6.2.1. Employee Size
11.6.2.2. Past and Current Revenue
11.6.2.3. Geographical Share
11.6.2.4. Business Segment Share
11.6.2.5. Recent Developments
11.7. Informatica
11.7.1. Overview
11.7.1.1. Key Management
11.7.1.2. Headquarters
11.7.1.3. Offerings/Business Segments
11.7.2. Key Details (Key details are consolidated data and not product/service specific)
11.7.2.1. Employee Size
11.7.2.2. Past and Current Revenue
11.7.2.3. Geographical Share
11.7.2.4. Business Segment Share
11.7.2.5. Recent Developments
11.8. Snowflake
11.8.1. Overview
11.8.1.1. Key Management
11.8.1.2. Headquarters
11.8.1.3. Offerings/Business Segments
11.8.2. Key Details (Key details are consolidated data and not product/service specific)
11.8.2.1. Employee Size
11.8.2.2. Past and Current Revenue
11.8.2.3. Geographical Share
11.8.2.4. Business Segment Share
11.8.2.5. Recent Developments
11.9. Dremio
11.9.1. Overview
11.9.1.1. Key Management
11.9.1.2. Headquarters
11.9.1.3. Offerings/Business Segments
11.9.2. Key Details (Key details are consolidated data and not product/service specific)
11.9.2.1. Employee Size
11.9.2.2. Past and Current Revenue
11.9.2.3. Geographical Share
11.9.2.4. Business Segment Share
11.9.2.5. Recent Developments
11.10. Zaloni
11.10.1. Overview
11.10.1.1. Key Management
11.10.1.2. Headquarters
11.10.1.3. Offerings/Business Segments
11.10.2. Key Details (Key details are consolidated data and not product/service specific)
11.10.2.1. Employee Size
11.10.2.2. Past and Current Revenue
11.10.2.3. Geographical Share
11.10.2.4. Business Segment Share
11.10.2.5. Recent Developments
12. Key Takeaways

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