Report Scope & Overview:
Data Lake Market size was valued at USD 12.26 Bn in 2022 and is expected to reach USD 57.10 Bn by 2030, and grow at a CAGR of 21.2% over the forecast period 2023-2030.
A data lake is a type of data warehouse that allows you to store all of your structured, semi-structured, and unstructured data in its original state. It is a cost-effective way to store an organization's complete pool of data for later analysis and thereby improve operations. A data lake is not the same as a data warehouse. A data warehouse can store filtered, processed data, but a data lake can only hold a large amount of raw data.
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This system creates a central repository for all forms of data, allowing business users to quickly access data, perform analytics, and obtain insights. It aids in striking a balance between speed, operational expenses, and information quality. It is widely utilized in the aircraft and automobile industries. The IT, BFSI, retail, healthcare, media and entertainment, manufacturing, government, hospitality, and education industries all use data lakes.
Amazon Lake Formation was unveiled during the AWS Reinvent conference in Las Vegas in November of last year. It automates a variety of stages required in building a data lake, including data collection, cleaning, deduplication, categorization, and making data available for analytics in provisioned and configured storage. It also allows users to import data from a variety of sources into a data lake.
MARKET DYNAMICS:
KEY DRIVERS:
high levels of interest in the choosing of new technologies and security
IoT device adoption is on the rise.
The cheap cost of storage is driving the expansion of the data lakes market.
Low labor costs, cheap maintenance costs, and low raw material costs are all contributing to the worldwide market's growth.
RESTRAINTS:
a shortage of trained workers and interconnected systems that are complicated
It's a challenging undertaking to integrate IoT with data lake solutions into current systems.
Data swamps and regulatory compliance result from the lack of information in data lakes.
OPPORTUNITY:
A shift to cloud-based information platforms to manage and resolve data challenges is also predicted to open up opportunities for increased market acceptance.
IMPACT OF COVID-19:
Clinical experts and researchers all around the world are coming up with novel strategies to cope with help medication disclosures and endorsements in order to support successful treatments. Researchers require patient data from all across the world to swiftly and effectively assess the viability of these treatments. Semi-structured and unstructured data is quickly processed and polished into an investigation-ready condition, which AI and human-made reasoning tools consume for rapid evaluation and inquiry. Information lakes are a flexible and capable platform for integrating all of the necessary data and allowing for research.
COVID-19's resurgence has posed a threat not just to millions of people's health, but also to global financial stability. It has caused stockpile networks to be disrupted, as well as a shift in buyer behavior. To deal with this uncommon situation, organizations want amazing logical bits of information. The market is also expected to grow due to the increasing use of cloud-based technologies across several industrial verticals. During the COVID-19 emergency, the organizations’ consistency was ensured thanks to the use of cloud-based innovations. These benefits of cloud-based technologies are necessary to propel the sector forward.
MARKET ESTIMATION:
Based on type, the data lake market is divided into solutions and services. The solution category accounts for the largest portion of the market. This is due to the growing use of data lakes in the IT, BFSI, and retail industries. The data lake solutions let the IT department analyze unstructured and structured data and capture key insights. In addition, a number of businesses are integrating data solutions to improve and assess their internal operations. Over the projection period, the services category is predicted to have the greatest CAGR. This is due to key businesses' increased focus on launching data lake services with broad availability.
The data lakes market is divided into IT, BFSI, retail, healthcare, media & entertainment, manufacturing, and others based on vertical (government, hospitality, education, and others). The IT sector is predicted to grow at the fastest rate throughout the projection period, as data lake adoption aids IT organizations in striking a balance between speed, operational expenses, and information quality. Over the projection period, the retail category is predicted to increase significantly. Data lakes might be quite useful in retail marketing since they allow for quick categorization of potential customers. By analyzing data collected from multiple sources like as call logs, surveys, and social media platforms, data lakes may help provide a more in-depth understanding of customers, their buying motivations, and their demands. In addition, throughout the projected period, the healthcare category is predicted to grow at a high rate. This is due to the growing use of data lake solutions in the healthcare industry to acquire actionable insights and improve the patient experience.
The market is divided into two categories based on deployment: on-premise and cloud. The on-premise sector accounts for the majority of the market. On-premise implementation is strongly favored because most businesses already have data centers and servers in place to run their operations. Over the projected period, technological advancements and increased acceptance of cloud technologies in different areas such as IT, BFSI, and healthcare are likely to drive the expansion of cloud deployment.
KEY MARKET SEGMENTS:
On The Basis of Type:
Solution
Services
On The Basis of Deployment:
On-premise
Cloud
On The Basis of Organization Size:
Large Enterprises
Small & Medium-Sized Enterprises (SMEs)
On The Basis of Vertical:
IT
BFSI
Retail
Healthcare
Media and Entertainment
Manufacturing
Others (government, hospitality, education, others)
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REGIONAL ANALYSIS:
North America has the greatest market share, while Asia-Pacific is expected to grow at the fastest rate over the next few years. Factors in North America include an increase in the usage of big data technologies, an increase in the volume of data across industry verticals, and an increase in company expenditures in data lake solutions. The market in this area would be boosted by factors such as the rising creation of data, such as clickstream data, server logs, subscriber data, customer relationship management (CRM), and enterprise resource planning (ERP).
REGIONAL COVERAGE:
North America
USA
Canada
Mexico
Europe
Germany
UK
France
Italy
Spain
The Netherlands
Rest of Europe
Asia-Pacific
Japan
south Korea
China
India
Australia
Rest of Asia-Pacific
The Middle East & Africa
Israel
UAE
South Africa
Rest of Middle East & Africa
Latin America
Brazil
Argentina
Rest of Latin America
KEY PLAYERS:
The major key players are Atos SE, Amazon.com Inc., Cloudera Inc., Google LLC, IBM Corporation, Microsoft Corporation, Oracle Corporation, Snowflake Inc., TCS LTD, Teradata Corporation & Other Players
IBM Corporation - Company Operating Expense
Report Attributes | Details |
Market Size in 2022 | US$ 12.26 Bn |
Market Size by 2030 | US$ 57.10 Bn |
CAGR | CAGR of 21.2% From 2023 to 2030 |
Base Year | 2022 |
Forecast Period | 2023-2030 |
Historical Data | 2020-2021 |
Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
Key Segments | • by Type (Solution and Services) • by Deployment (On-premise and Cloud) • by Organization Size (Large Enterprises and Small & Medium-Sized Enterprises (SMEs) • by Industry Verticals (IT, BFSI, Retail, Healthcare, Media and Entertainment, Manufacturing Others (government, hospitality, education, others) |
Regional Analysis/Coverage | North America (USA, Canada, Mexico), Europe (Germany, UK, France, Italy, Spain, Netherlands, Rest of Europe), Asia-Pacific (Japan, South Korea, China, India, Australia, Rest of Asia-Pacific), The Middle East & Africa (Israel, UAE, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America) |
Company Profiles | Atos SE, Amazon.com Inc., Cloudera Inc., Google LLC, IBM Corporation, Microsoft Corporation, Oracle Corporation, Snowflake Inc., TCS LTD, Teradata Corporation |
Key Drivers | • high levels of interest in the choosing of new technologies and security • IoT device adoption is on the rise. |
Market Opportunities | • A shift to cloud-based information platforms to manage and resolve data challenges is also predicted to open up opportunities for increased market acceptance. |
Ans:- The estimated market size for the Data Lake Market for the year 2030 is USD 57.10 Bn
Ans:- North America has the greatest market share.
Ans:- A shift to cloud-based information platforms to manage and resolve data challenges is also predicted to open up opportunities for increased market acceptance.
Ans:- The segments covered in the Data Lake Market report are On The Basis of Type, Deployment, Organization Size, Vertical.
Ans:- The major key players are Atos SE, Amazon.com Inc., Cloudera Inc., Google LLC, IBM Corporation, Microsoft Corporation, Oracle Corporation, Snowflake Inc., TCS LTD, Teradata Corporation.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 COVID-19 Impact Analysis
4.2 Impact of Ukraine- Russia war
4.3 Impact of ongoing Recession
4.3.1 Introduction
4.3.2 Impact on major economies
4.3.2.1 US
4.3.2.2 Canada
4.3.2.3 Germany
4.3.2.4 France
4.3.2.5 United Kingdom
4.3.2.6 China
4.3.2.7 Japan
4.3.2.8 South Korea
4.3.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Market Segmentation, by Service Type
8.1 Solution
8.2 Services
9. Market Segmentation, by Deployment
9.1 On-premise
9.2 Cloud
10. Market Segmentation, by Organization Size
10.1 Small & Medium-Sized Enterprises
10.2 Large Enterprises
11. Market Segmentation, by Industry Vertical
11.1 IT
11.2 BFSI
11.3 Retail
11.4 Healthcare
11.5 Media and Entertainment
11.6 Manufacturing
11.7 Others (government, hospitality, education, others)
12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 USA
12.2.2 Canada
12.2.3 Mexico
12.3 Europe
12.3.1 Germany
12.3.2 UK
12.3.3 France
12.3.4 Italy
12.3.5 Spain
12.3.6 The Netherlands
12.3.7 Rest of Europe
12.4 Asia-Pacific
12.4.1 Japan
12.4.2 South Korea
12.4.3 China
12.4.4 India
12.4.5 Australia
12.4.6 Rest of Asia-Pacific
12.5 The Middle East & Africa
12.5.1 Israel
12.5.2 UAE
12.5.3 South Africa
12.5.4 Rest
12.6 Latin America
12.6.1 Brazil
12.6.2 Argentina
12.6.3 Rest of Latin America
13. Company Profiles
13.1 Atos SE
13.1.1 Financial
13.1.2 Products/ Services Offered
13.1.3 SWOT Analysis
13.1.4 The SNS view
13.2 Amazon.com Inc.
13.3 Cloudera Inc.
13.4 Google LLC
13.5 IBM Corporation
13.6 Microsoft Corporation
13.7 Oracle Corporation
13.8 Snowflake Inc.
13.9 TCS LTD
13.10 Teradata Corporation
14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Market Share Analysis
14.3 Recent Developments
15. Conclusion
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