Data Lake Market
Data Lake Market Forecasts to 2030 - Global Analysis By Component (Services and Solutions), Business Function, Deployment Mode, Organization Size, End User and By Geography
According to Stratistics MRC, the Global Data Lake Market is accounted for $7.8 billion in 2023 and is expected to reach $39.9 billion by 2030 growing at a CAGR of 27.3% during the forecast period. A data lake is a centralized repository that allows you to store vast amounts of structured, semi-structured, and unstructured data at scale. Unlike traditional databases or data warehouses that require structured data, a data lake can hold raw data in its native format until it's needed for analysis or processing. It allows for the storage of diverse data types—such as logs, sensor data, images, videos, and more—without enforcing a schema upfront.
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.
Market Dynamics:
Driver:
Growing need for efficient security measures
The market demands robust security measures to safeguard vast repositories of diverse data. With an influx of sensitive information, encryption, access controls, and anomaly detection become imperative. Advanced authentication protocols and AI-driven monitoring fortify against breaches and ensure compliance with stringent regulations. As threats evolve, adaptive security strategies are pivotal to fortify the integrity of these expansive data ecosystems, instilling trust and reliability in handling sensitive information.
Restraint:
Complexity and Integration
The market is evolving, emphasizing both complexity and integration. As organizations harness vast data volumes, solutions aim for seamless integration across diverse sources and formats. This entails managing intricate data structures while ensuring interoperability among various tools and platforms. The focus lies in offering comprehensive solutions that simplify complexities, enabling efficient data processing, analysis, and insights across the expansive data lake landscape.
Opportunity:
Mounting adoption of advanced technologies
The market experiences rapid growth due to soaring adoption of cutting-edge technologies. AI-driven analytics, cloud integration, and scalable storage solutions redefine data management. Organizations leverage these innovations to streamline data processing, enhance decision-making, and extract valuable insights. The market's expansion hinges on the seamless integration of diverse data sources, offering unparalleled agility and efficiency in handling vast datasets.
Threat:
Lack of technical expertise
The market faces challenges due to a shortage of technical expertise. Building and maintaining these expansive repositories demands specialized skills in data architecture, integration, and management. The scarcity of professionals proficient in handling diverse data formats, ensuring security, and implementing effective governance hampers the optimal utilization and growth of data lake solutions. Bridging this expertise gap is crucial for organizations to fully harness the potential of data lakes and derive valuable insights.
Covid-19 Impact:
The COVID-19 pandemic accelerated the demand for Data Lakes as organizations sought robust data storage and analytics solutions to handle increased remote work and digital operations. The market witnessed growth due to rising data volumes from online activities and the need for real-time insights for agile decision-making. This surge emphasized the importance of scalable, cloud-based data lakes to manage diverse data sources efficiently, driving innovation and investments in the sector.
The human resources segment is expected to be the largest during the forecast period
The human resources segment is expected to be the largest during the forecast period. The human resources sector within the market focuses on leveraging extensive data repositories to optimize talent acquisition, workforce management, and employee engagement. It employs advanced analytics, AI-driven insights, and predictive models to streamline recruitment, personalize employee experiences, and enhance retention strategies. HR in Data Lakes harnesses diverse data sources to enable informed decision-making, ensuring the right talent is matched with the right opportunities, fostering organizational growth and efficiency.
The education segment is expected to have the highest CAGR during the forecast period
The education segment is expected to have the highest CAGR during the forecast period. The market in education is rapidly expanding, driven by the need for comprehensive storage and analysis of educational data. This technology enables streamlined data management, empowering educators to derive valuable insights for personalized learning, academic research, and administrative decision-making, fostering innovation and efficiency within the educational landscape.
Region with largest share:
North America is projected to hold the largest market share during the forecast period. With a focus on harnessing vast amounts of diverse data, enterprises are increasingly adopting Data Lake platforms. Key players vie for prominence, offering versatile architectures and advanced analytics tools to cater to evolving business needs. The region showcases robust growth prospects, fueled by technological advancements and the imperative need for comprehensive data management solutions.
Region with highest CAGR:
Asia Pacific is projected to hold the highest CAGR over the forecast period. With a growing emphasis on data-driven decision-making, businesses in APAC are increasingly investing in scalable and flexible data storage solutions. Key players offer comprehensive platforms catering to diverse needs, leveraging cloud-based storage and analytics to unlock insights. The market's trajectory signals sustained growth, with organizations prioritizing efficient data management to stay competitive in the dynamic landscape.
Key players in the market
Some of the key players in Data Lake market include Atos SE, Google LLC, IBM Corporation, Microsoft Corporation, Oracle Corporation, SAS Institute Inc., Amazon Web Services Inc, Snowflake Inc., Cloudera Inc., Teradata Corporation, BigStep , Koverse, Inc., Dremio, Temenos Headquarters SA, Atos SE, Cazena, Inc. and Oracle.
Key Developments:
In December 202, 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.
In 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.
Components Covered:
• Services
• Solutions
Business Functions Covered:
• Human Resources
• Marketing
• Sales
• Finance
• Operations
Deployment Modes Covered:
• Cloud
• On-Premises
Organization Sizes Covered:
• Small and Medium-Sized Enterprises
• Large Enterprises
End Users Covered:
• Transportation and Logistics
• Education
• Banking, Financial Services and Insurance
• Telecommunication and Information Technology
• Retail and E-Commerce
• Healthcare and Life Sciences
• Manufacturing
• Energy and Utilities
• Media and Entertainment
• Government
• Travel and Hospitality
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 End User Analysis
3.7 Emerging Markets
3.8 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Data Lake Market, By Component
5.1 Introduction
5.2 Services
5.2.1 Professional Services
5.2.2 Consulting
5.2.3 Managed Services
5.2.4 Support and Maintenance
5.2.5 System Integration and Deployment
5.3 Solutions
5.3.1 Data Discovery
5.3.2 Data Integration and Management
5.3.3 Data Lake Analytics
5.3.4 Data Visualization
6 Global Data Lake Market, By Business Function
6.1 Introduction
6.2 Human Resources
6.3 Marketing
6.4 Sales
6.5 Finance
6.6 Operations
7 Global Data Lake Market, By Deployment Mode
7.1 Introduction
7.2 Cloud
7.3 On-Premises
8 Global Data Lake Market, By Organization Size
8.1 Introduction
8.2 Small and Medium-Sized Enterprises
8.3 Large Enterprises
9 Global Data Lake Market, By End User
9.1 Introduction
9.2 Transportation and Logistics
9.3 Education
9.4 Banking, Financial Services and Insurance
9.5 Telecommunication and Information Technology
9.6 Retail and E-Commerce
9.7 Healthcare and Life Sciences
9.8 Manufacturing
9.9 Energy and Utilities
9.10 Media and Entertainment
9.11 Government
9.12 Travel and Hospitality
9.13 Other End Users
10 Global Data Lake Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 Atos SE
12.2 Google LLC
12.3 IBM Corporation
12.4 Microsoft Corporation
12.5 Oracle Corporation
12.6 SAS Institute Inc.
12.7 Amazon Web Services Inc
12.8 Snowflake Inc.
12.9 Cloudera Inc.
12.10 Teradata Corporation
12.11 BigStep
12.12 Koverse, Inc.
12.13 Dremio
12.14 Temenos Headquarters SA
12.15 Atos SE
12.16 Cazena, Inc.
12.17 Oracle
List of Tables
1 Global Data Lake Market Outlook, By Region (2021-2030) ($MN)
2 Global Data Lake Market Outlook, By Component (2021-2030) ($MN)
3 Global Data Lake Market Outlook, By Services (2021-2030) ($MN)
4 Global Data Lake Market Outlook, By Professional Services (2021-2030) ($MN)
5 Global Data Lake Market Outlook, By Consulting (2021-2030) ($MN)
6 Global Data Lake Market Outlook, By Managed Services (2021-2030) ($MN)
7 Global Data Lake Market Outlook, By Support and Maintenance (2021-2030) ($MN)
8 Global Data Lake Market Outlook, By System Integration and Deployment (2021-2030) ($MN)
9 Global Data Lake Market Outlook, By Solutions (2021-2030) ($MN)
10 Global Data Lake Market Outlook, By Data Discovery (2021-2030) ($MN)
11 Global Data Lake Market Outlook, By Data Integration and Management (2021-2030) ($MN)
12 Global Data Lake Market Outlook, By Data Lake Analytics (2021-2030) ($MN)
13 Global Data Lake Market Outlook, By Data Visualization (2021-2030) ($MN)
14 Global Data Lake Market Outlook, By Business Function (2021-2030) ($MN)
15 Global Data Lake Market Outlook, By Human Resources (2021-2030) ($MN)
16 Global Data Lake Market Outlook, By Marketing (2021-2030) ($MN)
17 Global Data Lake Market Outlook, By Sales (2021-2030) ($MN)
18 Global Data Lake Market Outlook, By Finance (2021-2030) ($MN)
19 Global Data Lake Market Outlook, By Operations (2021-2030) ($MN)
20 Global Data Lake Market Outlook, By Deployment Mode (2021-2030) ($MN)
21 Global Data Lake Market Outlook, By Cloud (2021-2030) ($MN)
22 Global Data Lake Market Outlook, By On-Premises (2021-2030) ($MN)
23 Global Data Lake Market Outlook, By Organization Size (2021-2030) ($MN)
24 Global Data Lake Market Outlook, By Small and Medium-Sized Enterprises (2021-2030) ($MN)
25 Global Data Lake Market Outlook, By Large Enterprises (2021-2030) ($MN)
26 Global Data Lake Market Outlook, By End User (2021-2030) ($MN)
27 Global Data Lake Market Outlook, By Transportation and Logistics (2021-2030) ($MN)
28 Global Data Lake Market Outlook, By Education (2021-2030) ($MN)
29 Global Data Lake Market Outlook, By Banking, Financial Services and Insurance (2021-2030) ($MN)
30 Global Data Lake Market Outlook, By Telecommunication and Information Technology (2021-2030) ($MN)
31 Global Data Lake Market Outlook, By Retail and E-Commerce (2021-2030) ($MN)
32 Global Data Lake Market Outlook, By Healthcare and Life Sciences (2021-2030) ($MN)
33 Global Data Lake Market Outlook, By Manufacturing (2021-2030) ($MN)
34 Global Data Lake Market Outlook, By Energy and Utilities (2021-2030) ($MN)
35 Global Data Lake Market Outlook, By Media and Entertainment (2021-2030) ($MN)
36 Global Data Lake Market Outlook, By Government (2021-2030) ($MN)
37 Global Data Lake Market Outlook, By Travel and Hospitality (2021-2030) ($MN)
38 Global Data Lake Market Outlook, By Other End Users (2021-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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