Data Lake Market by Component, Deployment Mode, Organization Size, Business Function (Marketing, Operations, and Human Resources), Industry Vertical (BFSI, Healthcare and Life Sciences, Manufacturing), and Region - Global Forecast to 2024
[194 Pages Report] The global data lake market size is expected to grow from USD 7.9 billion in 2019 to USD 20.1 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 20.6% during the forecast period. The major growth factors of the data lake market include the increasing need to extract in-depth insights from growing volumes of data to gain a competitive advantage in the market, and simplified access to organizational data from departmental silos, mainframe, and legacy systems. A shift toward cloud-based data platforms to manage and mitigate data issues is further expected to offer opportunities for the increased adoption of the market.
Among business functions, the operations segment to grow at the highest CAGR during the forecast period
The data lake market is segmented by business function into marketing, sales, operations, finance, and human resources. The operations business function is expected to grow at the highest CAGR during the forecast period. Data lake enable companies to increase operational efficiencies and reduce costs. Data lake solutions and services help store and analyze structured and unstructured data from Information Technology (IT) operations and turn it into relevant information and insights.
Numerous companies are implementing data lake solutions and services to evaluate their internal processes and enhance operations. Data lake implementation assists companies to strike the right balance between operational cost, speed, flexibility, and data quality.
The marketing business segment is expected to hold the largest market size during the forecast period. Data lake solutions enable precise segmentation of potential buyers and facilitate a deeper understanding of those buyers, their needs, and motivations by analyzing the data generated from various sources, such as social media, call logs, and service forms.
Cloud deployment segment to grow at a rapid pace during the forecast period
Most vendors in the data lake market offer cloud-based data lake solutions to maximize profits and automate the equipment maintenance process, effectively. The adoption of cloud-based data lake solutions is expected to grow, owing to benefits, such as easy maintenance of the generated data, cost-effectiveness, agility, flexibility, scalability, and effective management of these solutions. Companies prefer to adopt cloud-based data lake solutions, as these solutions support their regional, cross-regional, or cross-country data recovery strategies. This enables organizations to ensure resiliency in case of a disaster.
North America to hold the highest market share during the forecast period
North America is expected to hold the highest market share in the global data lake market, while Asia Pacific (APAC) is expected to grow at the highest CAGR during the forecast period. In North America, the high growth rate can be attributed to the increasing use of the big data technology, growing amount of data across industry verticals, and rising investments by companies in data lake solutions. Organizations, especially in the US, have started using data lake solutions to generate insightful information from structured and unstructured data and stay competitive in the market. Increasing generation of data, such as clickstream data, server logs, subscriber data, Customer Relationship Management (CRM), and Enterprise Resource Planning (ERP) trigger vendors to launch a number of data lake solutions and services to cater to various needs of the organizations and their customers.
Key market players
Major vendors in the global data lake market include Microsoft (US), Teradata (US), Oracle (US), Cloudera (US), AWS (US), IBM (US), Informatica (US), SAS Institute (US), Zaloni (US), Koverse (US), HPE (US), Cazena (US), Google (US), Infoworks.io (US), Snowflake (US), and Dremio (US). These vendors have adopted various organic and inorganic growth strategies, such as new product launches, partnerships and collaborations, and mergers and acquisitions, to expand their presence in the global data lake market.
AWS (US) offers cloud computing services in the form of web services. The company offers a wide range of products and services to customers present across 190 countries. The company’s product portfolio comprises segments, such as compute, storage, database, migration, network and content delivery, developer tools, management tools, media services, Machine Learning (ML), and analytics. Additionally, the solutions segment offers website and web apps, mobile services, backup, storage and archive, financial services, and digital media. AWS caters to industry verticals, such as media and entertainment, healthcare, government, education, and utilities. In the data lake market, the company offers Data Lake on AWS solution, which stores and registers datasets of any size in their native form in the secure, durable, highly-scalable Amazon S3. Customers can upload datasets with searchable metadata and integrate AWS Glue and Amazon Athena to transform and analyze the uploaded data.
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Scope of the Report
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|
Report Metric |
Details |
|
Market size available for years |
2017–2024 |
|
Base year considered |
2018 |
|
Forecast period |
2019–2024 |
|
Forecast units |
Million (USD) |
|
Segments covered |
Component, Deployment Mode, Organization Size, Business Function, Industry Vertical, and Region |
|
Geographies covered |
North America, Europe, Asia Pacific (APAC), Latin America, and Middle East and Africa (MEA) |
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Companies covered |
Microsoft (US), Teradata (US), Oracle (US), Atos (France), Cloudera (US), AWS (US), IBM (US), Temenos (Switzerland), Informatica (US), SAS Institute (US), Zaloni (US), Koverse (US), HPE (US), Cazena (US), Google (US), Infoworks.io (US), Snowflake (US), Dremio (US), TCS (India), and Exacaster (Lithuania). |
This research report categorizes the data lake market based on component, deployment mode, organization size, application, verticals, and regions.
By component:
- Solutions
- Data Discovery
- Data Integration and Management
- Data Lake Analytics
- Data Visualization
- Services
- Managed Services
- Professional Services
- Consulting
- Support and Maintenance
- System Integration and Deployment
By deployment mode:
- On-premises
- Cloud
By organization size:
- Large Enterprises
- Small and Medium-Sized Enterprises (SMEs)
By business function:
- Marketing
- Sales
- Operations
- Finance
- Human Resources
By industry vertical:
- Banking, Financial Services and Insurance (BFSI)
- Telecommunication and Information Technology (IT)
- Retail and eCommerce
- Healthcare and Life Sciences
- Manufacturing
- Energy and Utilities
- Media and Entertainment
- Government
- Others (Travel And Hospitality, Transportation and Logistics, and Education)
By region:
- North America
- United States (US)
- Canada
- Europe
- United Kingdom (UK)
- Germany
- France
- Italy
- Rest of Europe
- APAC
- China
- Australia and New Zealand (ANZ)
- Japan
- India
- Rest of APAC
- MEA
- Israel
- Saudi Arabia
- United Arab Emirates (UAE)
- South Africa
- Rest of MEA
- Latin America
- Brazil
- Mexico
- Argentina
- Rest of Latin America
Recent developments
- In December 2019, Zaloni announced the availability of its data platform on AWS Marketplace. This would help the company implement Zaloni Data Platform quickly and cost-effectively on AWS by providing seamless procurement and deployment process.
- In November 2019, Cloudera announced the Cloudera Data Platform (CDP) powered by Microsoft Azure. CDP is an integrated data platform that is easy to secure, manage, and deploy. CDP on Azure includes Cloudera’s Shared Data Experience (SDX), which makes it easy to create a secure data lake in hours instead of weeks and replaces monotonous scripting with ‘set it and forget it’ convenience.
- In October 2019, Teradata announced new offerings to help companies use Vantage to simplify their analytic ecosystems on their cloud journey. Teradata Vantage now unifies analytics, data lake, and data warehouses in the cloud. And, the company is set to soon expand its public cloud offerings to include Google Cloud Platform.
- In August 2019, AWS announced the general availability of the AWS Lake Formation, a fully managed service that makes it easier for customers to build, secure, and manage data lake. AWS Lake Formation cleans and deduplicates data using ML to improve data consistency and quality.
- In March 2019, Cazena partnered with Clairvoyant to speed up projects and ensure successful outcomes as enterprises implement hybrid data architectures or move existing workloads to cloud providers AWS and Microsoft Azure.
Critical questions the report answers
- What are the current trends driving the data lake market?
- In which vertical are most industrial companies deploying data lake solutions?
- Where will recent developments of market vendors take the industry in the mid- to long-term?
- Who are the top vendors in the market, and what is their competitive analysis?
- What are the drivers and challenges faced by vendors in the market?
Frequently Asked Questions (FAQ):
How big is the Data Lakes Market?
The global conversational AI market size was estimated at 7.9 billion in 2019 and is expected to reach USD 20.1 billion by 2024.
What is the Data Lakes Market Growth?
The global conversational AI market is expected to grow at a compound annual growth rate of 20.6% from 2019 to 2024 to reach USD 20.1 billion by 2024.
What are the top companies providing Data Lakes?
Microsoft (US), Teradata (US), Oracle (US), Cloudera (US), AWS (US), IBM (US), Informatica (US), SAS Institute (US), Zaloni (US), Koverse (US), HPE (US), Cazena (US), Google (US), Infoworks.io (US), Snowflake (US), and Dremio (US) are some major providers of Data Lakes software solutions.
What are the top industries adopting Data Lakes?
The following are major industries adopting Data Lakes; banking, financial services and insurance, retail and eCommerce, manufacturing, and government.
What are various trends in Data Lakes?
Driver:
- Faster Big Data Analytics
- Data lake implementation assists companies to strike the right balance between operational cost, speed, flexibility, and data quality.
Opportunities:
- Enterprises are aligning their business models towards digital transformation, thereby encouraging Data Lakes adoption
What are various Data Lakes business functions?
The following are Data Lakesbusiness functions:Marketing, Sales, Operations, Finance, Human Resources. .
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
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TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 20)
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS AND EXCLUSIONS
1.3 MARKET SCOPE
1.3.1 DATA LAKE MARKET: MARKET SEGMENTATION
1.3.2 REGIONAL SCOPE
1.4 YEARS CONSIDERED FOR THE STUDY
1.5 CURRENCY CONSIDERED
1.6 STAKEHOLDERS
2 RESEARCH METHODOLOGY (Page No. - 24)
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Breakup of primary profiles
2.1.2.2 Key industry insights
2.2 MARKET BREAKUP AND DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
2.4 MARKET FORECAST
2.5 RESEARCH ASSUMPTIONS
2.6 LIMITATIONS OF THE STUDY
3 EXECUTIVE SUMMARY (Page No. - 31)
4 PREMIUM INSIGHTS (Page No. - 38)
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE DATA LAKE MARKET
4.2 DATA LAKE MARKET: TOP 3 BUSINESS FUNCTIONS
4.3 DATA LAKE MARKET, BY REGION
4.4 DATA LAKE MARKET IN NORTH AMERICA, BY BUSINESS FUNCTION AND INDUSTRY VERTICAL
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 40)
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Simplified access to organizational data in departmental silos, mainframe, and legacy systems
5.2.1.2 Increasing need to extract in-depth insights from growing volumes of data to gain competitive advantage
5.2.2 RESTRAINTS
5.2.2.1 Absence of metadata in data lake leading to data swamps
5.2.3 OPPORTUNITIES
5.2.3.1 Shift toward cloud-based data platforms to manage and mitigate data issues
5.2.3.2 Rise in adoption of advanced technologies, such as AI and analytics
5.2.4 CHALLENGES
5.2.4.1 Complexities due to regulatory compliance for data usage
5.3 USE CASES
5.3.1 USE CASE: SCENARIO 1
5.3.2 USE CASE: SCENARIO 2
5.3.3 USE CASE: SCENARIO 3
5.3.4 USE CASE: SCENARIO 4
5.4 REGULATORY IMPLICATIONS
5.4.1 GENERAL DATA PROTECTION REGULATION
5.4.2 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD
5.4.3 THE INTERNATIONAL ORGANIZATION FOR STANDARDIZATION 27001
5.4.4 CALIFORNIA CONSUMER PRIVACY ACT
5.4.5 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT OF 1996
5.4.6 HEALTH INFORMATION TECHNOLOGY FOR ECONOMIC AND CLINICAL HEALTH ACT
5.4.7 EUROPEAN MARKET INFRASTRUCTURE REGULATION
5.4.8 BASEL COMMITTEE ON BANKING SUPERVISION 239 COMPLIANCE
5.4.9 SARBANES-OXLEY ACT OF 2002
5.4.10 PERSONAL DATA PROTECTION ACT
5.5 ENTERPRISE DATA LAKE ARCHITECTURE
6 DATA LAKE MARKET, BY COMPONENT (Page No. - 52)
6.1 INTRODUCTION
6.2 SOLUTIONS
6.3 DATA DISCOVERY
6.3.1 GROWING NEED TO IDENTIFY THE USEFUL CONTENT IN DATA DRIVING THE ADOPTION OF DATA DISCOVERY SOLUTIONS
6.4 DATA INTEGRATION AND MANAGEMENT
6.4.1 NEED TO INGEST, MANAGE, AND GOVERN DATA DRIVING THE ADOPTION OF DATA INTEGRATION AND MANAGEMENT SOLUTIONS
6.5 DATA LAKE ANALYTICS
6.5.1 GROWING DEMAND FOR REAL-TIME DATA ANALYTICS TO MAKE BUSINESS DECISIONS DRIVING THE ADOPTION OF DATA LAKE ANALYTICS SOLUTIONS
6.6 DATA VISUALIZATION
6.6.1 BUSINESS NEED TO BETTER UNDERSTAND INSIGHTS GENERATED FROM DATA LAKE ANALYTICS DRIVING THE ADOPTION OF DATA VISUALIZATION SOLUTIONS
6.7 SERVICES
6.7.1 MANAGED SERVICES
6.7.1.1 Growing need for businesses to focus on core operations and streamline automated processes for data management driving the demand for managed services
6.7.2 PROFESSIONAL SERVICES
6.7.2.1 Increase in technicalities in the deployment and implementation of data lake solutions to drive the demand for professional services
6.7.3 CONSULTING
6.7.3.1 Technicalities in data lake solutions to boost the demand for consulting services
6.7.4 SYSTEM INTEGRATION AND DEPLOYMENT
6.7.4.1 Need for seamless deployment of data lake solutions to drive the demand for system integration and deployment services
6.7.5 SUPPORT AND MAINTENANCE
6.7.5.1 Growing deployment of data lake solutions to fuel the demand for support and maintenance services
7 DATA LAKE MARKET, BY DEPLOYMENT MODE (Page No. - 67)
7.1 INTRODUCTION
7.2 ON-PREMISES
7.2.1 NEED FOR DATA SECURITY TO BOOST THE ADOPTION OF ON-PREMISES DATA LAKE SOLUTIONS
7.3 CLOUD
7.3.1 BENEFITS SUCH AS COST-EFFECTIVENESS AND SCALABILITY TO DRIVE THE ADOPTION OF CLOUD-BASED DATA LAKE SOLUTIONS
8 DATA LAKE MARKET, BY ORGANIZATION SIZE (Page No. - 71)
8.1 INTRODUCTION
8.2 LARGE ENTERPRISES
8.2.1 NEED TO STORE LARGE VOLUMES OF DATA BEING GENERATED FROM BUSINESS AND CUSTOMERS AND ENABLE DATA-DRIVEN DECISIONS DRIVING THE ADOPTION OF DATA LAKE SOLUTIONS AND SERVICES IN LARGE ENTERPRISES
8.3 SMALL AND MEDIUM-SIZED ENTERPRISES
8.3.1 NEED TO STORE DATA OF THE GROWING TARGET AUDIENCE GLOBALLY AND EXTRACT GREATER VALUE FROM THEIR DATA DRIVING THE ADOPTION OF DATA LAKE SOLUTIONS IN SMALL AND MEDIUM-SIZED ENTERPRISES
9 DATA LAKE MARKET, BY BUSINESS FUNCTION (Page No. - 75)
9.1 INTRODUCTION
9.2 MARKETING
9.2.1 INCREASED DEMAND FOR PRECISE BUYER SEGMENTATION TO FUEL THE ADOPTION OF DATA LAKE SOLUTIONS IN MARKETING
9.3 SALES
9.3.1 NEED TO GENERATE AUTOMATED SALES PATTERN TO ENHANCE CUSTOMER TARGETING DRIVING THE ADOPTION OF DATA LAKE SOLUTIONS IN SALES
9.4 OPERATIONS
9.4.1 GROWING NEED TO ENHANCE OPERATIONS BY EVALUATING INTERNAL PROCESSES DRIVING THE ADOPTION OF DATA LAKE SOLUTIONS IN OPERATIONS
9.5 FINANCE
9.5.1 NEED TO MANAGE FRAUD AND RISKS BY DETERMINING CREDITWORTHINESS AND MARKET VOLATILITY DRIVING THE ADOPTION OF DATA LAKE SOLUTIONS IN FINANCE
9.6 HUMAN RESOURCES
9.6.1 NEED TO PREDICT LEADERSHIP REQUIREMENTS AND PERFORM EMPLOYEE SENTIMENT ANALYSIS DRIVING THE ADOPTION OF DATA LAKE SOLUTIONS IN HUMAN RESOURCES
10 DATA LAKE MARKET, BY INDUSTRY VERTICAL (Page No. - 82)
10.1 INTRODUCTION
10.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
10.2.1 GROWING NEED TO PERSONALIZE CUSTOMER ENGAGEMENT AND MITIGATE RISKS DRIVING THE ADOPTION OF DATA LAKE SOLUTIONS IN THE BANKING, FINANCIAL SERVICES, AND INSURANCE INDUSTRY VERTICAL
10.3 TELECOMMUNICATIONS AND IT
10.3.1 ABILITY OF DATA LAKE SOLUTION TO VISUALIZE COMPLEX NETWORKS AND OPTIMIZE OPERATIONS DRIVING ITS ADOPTION IN THE TELECOMMUNICATIONS AND IT INDUSTRY VERTICAL
10.4 RETAIL AND ECOMMERCE
10.4.1 GROWING DEMAND FOR PERSONALIZED BUYER SEGMENTATION AND REAL-TIME CUSTOMER BEHAVIOR-BASED EXPERIENCE DRIVING THE ADOPTION OF DATA LAKE SOLUTIONS IN THE RETAIL AND ECOMMERCE INDUSTRY VERTICAL
10.5 HEALTHCARE AND LIFE SCIENCES
10.5.1 GROWING NEED TO LEVERAGE DATA TO CONTROL FRAUD, ENHANCE PATIENT EXPERIENCE, AND OFFER PERSONALIZED TREATMENT IN REAL TIME DRIVING THE ADOPTION OF DATA LAKE SOLUTIONS IN THE HEALTHCARE AND LIFE SCIENCES INDUSTRY VERTICAL
10.6 MANUFACTURING
10.6.1 GROWING NEED TO ADAPT TO THE CHANGING NEEDS OF BUSINESSES, EXTEND THE LIFESPAN OF FACTORY EQUIPMENT, ENHANCE PRODUCT QUALITY, AND REDUCE THE RISK OF PRODUCTION DELAYS DRIVING THE ADOPTION OF DATA LAKE SOLUTIONS IN THE MANUFACTURING INDUSTRY VERTICAL
10.7 ENERGY AND UTILITIES
10.7.1 GROWING NEED TO ANALYZE THE DATA BEING GENERATED FROM SMART METERS AND ASSETS DRIVING THE ADOPTION OF DATA LAKE SOLUTIONS IN THE ENERGY AND UTILITIES INDUSTRY VERTICAL
10.8 MEDIA AND ENTERTAINMENT
10.8.1 NEED TO MANAGE AND UTILIZE THE GROWING DATA FLOW FROM SOCIAL MEDIA AND PERSONALIZE VIEWER EXPERIENCE DRIVING THE ADOPTION OF DATA LAKE SOLUTIONS IN THE MEDIA AND ENTERTAINMENT INDUSTRY VERTICAL
10.9 GOVERNMENT
10.9.1 GROWING DEMAND FOR ENHANCED DATA SECURITY AND ADVANCED INTELLIGENCE TO BOOST THE ADOPTION OF DATA LAKE SOLUTIONS IN THE GOVERNMENT SECTOR
10.1 OTHERS
11 DATA LAKE MARKET, BY REGION (Page No. - 94)
11.1 INTRODUCTION
11.2 NORTH AMERICA
11.2.1 UNITED STATES
11.2.1.1 Government’s focus on innovation and research to fuel the adoption of data lake solutions in the US
11.2.2 CANADA
11.2.2.1 Rise in shift toward data lake infrastructure to boost the adoption of data lake solutions and services in Canada
11.3 EUROPE
11.3.1 UNITED KINGDOM
11.3.1.1 Increasing government initiatives to fuel the adoption of data lake solutions in the UK
11.3.2 GERMANY
11.3.2.1 Growing adoption of IoT by tech companies to provide opportunities for development of data lake solutions in Germany
11.3.3 FRANCE
11.3.3.1 Focus on R&D and heavy inflow of capital from global players and investors to drive the growth of data lake market in France
11.3.4 ITALY
11.3.4.1 Awareness among companies of the opportunities that data analysis offers to boost the growth of data lake market in Italy
11.3.5 REST OF EUROPE
11.4 ASIA PACIFIC
11.4.1 CHINA
11.4.1.1 Increasing focus on integrating AI, IoT, and big data technologies to drive the adoption of data lake solutions in China
11.4.2 JAPAN
11.4.2.1 Existing market and already adopted big data analytics technology to boost the growth of data lake market in Japan
11.4.3 INDIA
11.4.3.1 Enormous data generation from increased use of smart devices compelling organizations to adopt data lake solutions for efficient data management in India
11.4.4 REST OF ASIA PACIFIC
11.5 MIDDLE EAST AND AFRICA
11.5.1 KINGDOM OF SAUDI ARABIA
11.5.1.1 Government initiatives and investments to support the adoption of data lake solutions in KSA
11.5.2 UNITED ARAB EMIRATES
11.5.2.1 Advanced analytics to manage the growing volumes of data driving the growth of data lake market in the UAE
11.5.3 SOUTH AFRICA
11.5.3.1 Increasing adoption of data lake among enterprises to boost the market growth in South Africa
11.5.4 REST OF MIDDLE EAST AND AFRICA
11.6 LATIN AMERICA
11.6.1 BRAZIL
11.6.1.1 Need to offer enhanced customer experience and improved business processes driving the growth of data lake market in Brazil
11.6.2 MEXICO
11.6.2.1 Investments by multinational companies to boost the growth of data lake market in Brazil
11.6.3 ARGENTINA
11.6.3.1 Investments by multinational companies to fuel the growth of data lake market in Brazil
11.6.4 REST OF LATIN AMERICA
12 COMPETITIVE LANDSCAPE (Page No. - 135)
12.1 INTRODUCTION
12.2 COMPETITIVE LEADERSHIP MAPPING
12.2.1 VISIONARY LEADERS
12.2.2 INNOVATORS
12.2.3 DYNAMIC DIFFERENTIATORS
12.2.4 EMERGING COMPANIES
13 COMPANY PROFILES (Page No. - 137)
13.1 INTRODUCTION
(Business Overview, Platform, Solutions, & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
13.2 MICROSOFT
13.3 AWS
13.4 IBM
13.5 ORACLE
13.6 CLOUDERA
13.7 SAS INSTITUTE
13.8 INFORMATICA
13.9 TERADATA
13.10 TCS
13.11 ATOS
13.12 HPE
13.13 CAZENA
13.14 ZALONI
13.15 TEMENOS
13.16 GOOGLE
13.17 DREMIO
13.18 EXACASTER
13.19 KOVERSE
13.20 UPSOLVER
13.21 INFOWORKS.IO
13.22 SNOWFLAKE
13.23 BIGSTEP
13.24 RIGHT-TO-WIN
*Details on Business Overview, Platform, Solutions, & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.
14 APPENDIX
14.1 INDUSTRY EXPERTS
14.2 DISCUSSION GUIDE
14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.4 AVAILABLE CUSTOMIZATIONS
14.5 RELATED REPORTS
14.6 AUTHOR DETAILS
LIST OF TABLES (105 Tables)
TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2015–2018
TABLE 2 FACTOR ANALYSIS
TABLE 3 GLOBAL DATA LAKE MARKET SIZE AND GROWTH RATE, 2017–2024 (USD MILLION, Y-O-Y %)
TABLE 4 DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 5 DATA LAKE MARKET SIZE, BY SOLUTION, 2017–2024 (USD MILLION)
TABLE 6 SOLUTIONS: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 7 DATA DISCOVERY: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 8 DATA INTEGRATION AND MANAGEMENT: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 9 DATA LAKE ANALYTICS: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 10 DATA VISUALIZATION: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 11 SERVICES: DATA LAKE MARKET SIZE, BY SERVICE, 2017–2024 (USD MILLION)
TABLE 12 SERVICES: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 13 MANAGED SERVICES MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 14 PROFESSIONAL SERVICES MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 15 CONSULTING: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 16 SYSTEM INTEGRATION AND DEPLOYMENT: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 17 SUPPORT AND MAINTENANCE: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 18 DATA LAKE MARKET SIZE, BY DEPLOYMENT MODE, 2017–2024 (USD MILLION)
TABLE 19 ON-PREMISES: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 20 CLOUD: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 21 DATA LAKE MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
TABLE 22 LARGE ENTERPRISES: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 23 SMALL AND MEDIUM-SIZED ENTERPRISES: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 24 DATA LAKE MARKET SIZE, BY BUSINESS FUNCTION, 2017–2024 (USD MILLION)
TABLE 25 MARKETING: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 26 SALES: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 27 OPERATIONS: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 28 FINANCE: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 29 HUMAN RESOURCES: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 30 DATA LAKE MARKET SIZE, BY INDUSTRY VERTICAL, 2017–2024 (USD MILLION)
TABLE 31 BANKING, FINANCIAL SERVICES, AND INSURANCE: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 32 TELECOMMUNICATIONS AND IT: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 33 RETAIL AND ECOMMERCE: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 34 HEALTHCARE AND LIFE SCIENCES: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 35 MANUFACTURING: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 36 ENERGY AND UTILITIES: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 37 MEDIA AND ENTERTAINMENT: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 38 GOVERNMENT: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 39 OTHERS: DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 40 DATA LAKE MARKET SIZE, BY REGION, 2017–2024 (USD MILLION)
TABLE 41 NORTH AMERICA: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 42 NORTH AMERICA: DATA LAKE MARKET SIZE, BY SOLUTION, 2017–2024 (USD MILLION)
TABLE 43 NORTH AMERICA: DATA LAKE MARKET SIZE, BY SERVICE, 2017–2024 (USD MILLION)
TABLE 44 NORTH AMERICA: DATA LAKE MARKET SIZE, BY PROFESSIONAL SERVICE, 2017–2024 (USD MILLION)
TABLE 45 NORTH AMERICA: DATA LAKE MARKET SIZE, BY DEPLOYMENT MODE, 2017–2024 (USD MILLION)
TABLE 46 NORTH AMERICA: DATA LAKE MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
TABLE 47 NORTH AMERICA: DATA LAKE MARKET SIZE, BY BUSINESS FUNCTION, 2017–2024 (USD MILLION)
TABLE 48 NORTH AMERICA: DATA LAKE MARKET SIZE, BY INDUSTRY VERTICAL, 2017–2024 (USD MILLION)
TABLE 49 NORTH AMERICA: DATA LAKE MARKET SIZE, BY COUNTRY, 2017–2024 (USD MILLION)
TABLE 50 UNITED STATES: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 51 CANADA: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 52 EUROPE: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 53 EUROPE: DATA LAKE MARKET SIZE, BY SOLUTION, 2017–2024 (USD MILLION)
TABLE 54 EUROPE: DATA LAKE MARKET SIZE, BY SERVICE, 2017–2024 (USD MILLION)
TABLE 55 EUROPE: DATA LAKE MARKET SIZE, BY PROFESSIONAL SERVICE, 2017–2024 (USD MILLION)
TABLE 56 EUROPE: DATA LAKE MARKET SIZE, BY DEPLOYMENT MODE, 2017–2024 (USD MILLION)
TABLE 57 EUROPE: DATA LAKE MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
TABLE 58 EUROPE: DATA LAKE MARKET SIZE, BY BUSINESS FUNCTION, 2017–2024 (USD MILLION)
TABLE 59 EUROPE: DATA LAKE MARKET SIZE, BY INDUSTRY VERTICAL, 2017–2024 (USD MILLION)
TABLE 60 EUROPE: DATA LAKE MARKET SIZE, BY COUNTRY, 2017–2024 (USD MILLION)
TABLE 61 UNITED KINGDOM: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 62 GERMANY: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 63 FRANCE: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 64 ITALY: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 65 REST OF EUROPE: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 66 ASIA PACIFIC: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 67 ASIA PACIFIC: DATA LAKE MARKET SIZE, BY SOLUTION, 2017–2024 (USD MILLION)
TABLE 68 ASIA PACIFIC: DATA LAKE MARKET SIZE, BY SERVICE, 2017–2024 (USD MILLION)
TABLE 69 ASIA PACIFIC: DATA LAKE MARKET SIZE, BY PROFESSIONAL SERVICE, 2017–2024 (USD MILLION)
TABLE 70 ASIA PACIFIC: DATA LAKE MARKET SIZE, BY DEPLOYMENT MODE, 2017–2024 (USD MILLION)
TABLE 71 ASIA PACIFIC: DATA LAKE MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
TABLE 72 ASIA PACIFIC: DATA LAKE MARKET SIZE, BY BUSINESS FUNCTION, 2017–2024 (USD MILLION)
TABLE 73 ASIA PACIFIC: DATA LAKE MARKET SIZE, BY INDUSTRY VERTICAL, 2017–2024 (USD MILLION)
TABLE 74 ASIA PACIFIC: DATA LAKE MARKET SIZE, BY COUNTRY, 2017–2024 (USD MILLION)
TABLE 75 CHINA: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 76 JAPAN: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 77 INDIA: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 78 REST OF ASIA PACIFIC: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 79 MIDDLE EAST AND AFRICA: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 80 MIDDLE EAST AND AFRICA: DATA LAKE MARKET SIZE, BY SOLUTION, 2017–2024 (USD MILLION)
TABLE 81 MIDDLE EAST AND AFRICA: DATA LAKE MARKET SIZE, BY SERVICE, 2017–2024 (USD MILLION)
TABLE 82 MIDDLE EAST AND AFRICA: DATA LAKE MARKET SIZE, BY PROFESSIONAL SERVICE, 2017–2024 (USD MILLION)
TABLE 83 MIDDLE EAST AND AFRICA: DATA LAKE MARKET SIZE, BY DEPLOYMENT MODE, 2017–2024 (USD MILLION)
TABLE 84 MIDDLE EAST AND AFRICA: DATA LAKE MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
TABLE 85 MIDDLE EAST AND AFRICA: DATA LAKE MARKET SIZE, BY BUSINESS FUNCTION, 2017–2024 (USD MILLION)
TABLE 86 MIDDLE EAST AND AFRICA: DATA LAKE MARKET SIZE, BY INDUSTRY VERTICAL, 2017–2024 (USD MILLION)
TABLE 87 MIDDLE EAST AND AFRICA: DATA LAKE MARKET SIZE, BY COUNTRY, 2017–2024 (USD MILLION)
TABLE 88 KINGDOM OF SAUDI ARABIA: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 89 UNITED ARAB EMIRATES: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 90 SOUTH AFRICA: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 91 REST OF MIDDLE EAST AND AFRICA: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 92 LATIN AMERICA: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 93 LATIN AMERICA: DATA LAKE MARKET SIZE, BY SOLUTION, 2017–2024 (USD MILLION)
TABLE 94 LATIN AMERICA: DATA LAKE MARKET SIZE, BY SERVICE, 2017–2024 (USD MILLION)
TABLE 95 LATIN AMERICA: DATA LAKE MARKET SIZE, BY PROFESSIONAL SERVICE, 2017–2024 (USD MILLION)
TABLE 96 LATIN AMERICA: DATA LAKE MARKET SIZE, BY DEPLOYMENT MODE, 2017–2024 (USD MILLION)
TABLE 97 LATIN AMERICA: DATA LAKE MARKET SIZE, BY ORGANIZATION SIZE, 2017–2024 (USD MILLION)
TABLE 98 LATIN AMERICA: DATA LAKE MARKET SIZE, BY BUSINESS FUNCTION, 2017–2024 (USD MILLION)
TABLE 99 LATIN AMERICA: DATA LAKE MARKET SIZE, BY INDUSTRY VERTICAL, 2017–2024 (USD MILLION)
TABLE 100 LATIN AMERICA: DATA LAKE MARKET SIZE, BY COUNTRY, 2017–2024 (USD MILLION)
TABLE 101 BRAZIL: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 102 MEXICO: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 103 ARGENTINA: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 104 REST OF LATIN AMERICA: DATA LAKE MARKET SIZE, BY COMPONENT, 2017–2024 (USD MILLION)
TABLE 105 EVALUATION CRITERIA
LIST OF FIGURES (54 Figures)
FIGURE 1 DATA LAKE MARKET: RESEARCH DESIGN
FIGURE 2 DATA LAKE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
FIGURE 3 DATA LAKE MARKET SNAPSHOT, BY COMPONENT
FIGURE 4 DATA LAKE MARKET SNAPSHOT, BY SOLUTION
FIGURE 5 DATA LAKE MARKET SNAPSHOT, BY SERVICE
FIGURE 6 DATA LAKE MARKET SNAPSHOT, BY PROFESSIONAL SERVICE
FIGURE 7 DATA LAKE MARKET SNAPSHOT, BY DEPLOYMENT MODE
FIGURE 8 DATA LAKE MARKET SNAPSHOT, BY ORGANIZATION SIZE
FIGURE 9 DATA LAKE MARKET SNAPSHOT, BY BUSINESS FUNCTION
FIGURE 10 DATA LAKE MARKET SNAPSHOT, BY INDUSTRY VERTICAL
FIGURE 11 DATA LAKE MARKET SNAPSHOT, BY REGION
FIGURE 12 INCREASING NEED TO EXTRACT IN-DEPTH INSIGHT FROM GROWING VOLUMES OF DATA AND SIMPLIFIED ACCESS TO ORGANIZATION DATA ARE THE KEY FACTORS DRIVING THE OVERALL GROWTH OF DATA LAKE MARKET
FIGURE 13 OPERATIONS BUSINESS FUNCTION TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 14 NORTH AMERICA TO HOLD THE HIGHEST MARKET SHARE IN 2019
FIGURE 15 MARKETING BUSINESS FUNCTION AND BANKING, FINANCIAL SERVICES, AND INSURANCE INDUSTRY VERTICAL ACCOUNTED FOR THE HIGHEST SHARES IN THE DATA LAKE MARKET IN 2019
FIGURE 16 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: DATA LAKE MARKET
FIGURE 17 ENTERPRISE DATA LAKE ARCHITECTURE
FIGURE 18 SERVICES SEGMENT TO REGISTER A HIGHER CAGR DURINGTHE FORECAST PERIOD
FIGURE 19 DATA VISUALIZATION SEGMENT TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 20 MANAGED SERVICES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 21 CONSULTING SEGMENT TO GROW AT THE HIGHEST CAGR DURINGTHE FORECAST PERIOD
FIGURE 22 CLOUD SEGMENT TO REGISTER A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 23 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO REGISTER A HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 24 OPERATIONS SEGMENT TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 25 HEALTHCARE AND LIFE SCIENCES INDUSTRY VERTICAL TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 26 NORTH AMERICA TO ACCOUNT FOR THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
FIGURE 27 INDIA DATA LAKE MARKET TO REGISTER THE HIGHEST CAGR AMONG ALL COUNTRIES DURING THE FORECAST PERIOD
FIGURE 28 ASIA PACIFIC TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 29 NORTH AMERICA: MARKET SNAPSHOT
FIGURE 30 OPERATIONS SEGMENT TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 31 OPERATIONS SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 32 ASIA PACIFIC: MARKET SNAPSHOT
FIGURE 33 OPERATIONS SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 34 OPERATIONS SEGMENT TO GROW AT THE HIGHEST CAGR IN MIDDLE EAST AND AFRICA DURING THE FORECAST PERIOD
FIGURE 35 OPERATIONS SEGMENT TO GROW AT THE HIGHEST CAGR IN LATIN AMERICA DURING THE FORECAST PERIOD
FIGURE 36 DATA LAKE MARKET (GLOBAL), COMPETITIVE LEADERSHIP MAPPING, 2018
FIGURE 37 MICROSOFT: COMPANY SNAPSHOT
FIGURE 38 MICROSOFT: SWOT ANALYSIS
FIGURE 39 AWS: COMPANY SNAPSHOT
FIGURE 40 AWS: SWOT ANALYSIS
FIGURE 41 IBM: COMPANY SNAPSHOT
FIGURE 42 IBM: SWOT ANALYSIS
FIGURE 43 ORACLE: COMPANY SNAPSHOT
FIGURE 44 ORACLE: SWOT ANALYSIS
FIGURE 45 CLOUDERA: COMPANY SNAPSHOT
FIGURE 46 CLOUDERA: SWOT ANALYSIS
FIGURE 47 SAS INSTITUTE: COMPANY SNAPSHOT
FIGURE 48 SAS INSTITUTE: SWOT ANALYSIS
FIGURE 49 TERADATA: COMPANY SNAPSHOT
FIGURE 50 TCS: COMPANY SNAPSHOT
FIGURE 51 ATOS: COMPANY SNAPSHOT
FIGURE 52 HPE: COMPANY SNAPSHOT
FIGURE 53 TEMENOS: COMPANY SNAPSHOT
FIGURE 54 GOOGLE: COMPANY SNAPSHOT
The study involved 4 major activities in estimating the current size of the data lake market. An extensive secondary research was undertaken to collect information on the market, peer market, and the parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were used to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the data lake market.
Secondary Research
In the secondary research process, various secondary sources, such as D&B Hoovers and Bloomberg, BusinessWeek, Dun Bradstreet, and Factiva have been referred to for identifying and collecting information for this study. Secondary sources included annual reports; press releases and investor presentations of companies; whitepapers, certified publications, and articles by recognized authors; gold standard and silver standard websites; Research and Development (R&D) organizations; regulatory bodies; and databases. Journals, repositories, and resources from the International Journal of Advanced Research in Computer Science, Institute of Electrical and Electronics Engineers (IEEE), and Elsevier B.V. were referred to understand the integration of data lake solutions and services.
Primary Research
Various primary sources from both the supply and demand sides of the data lake market were interviewed to obtain qualitative and quantitative information for this study. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), technology and innovation directors, and related key executives from various vendors offering data lake solutions, associated service providers, and system integrators operating in the targeted regions. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
The following is the breakup of primary profiles:
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Both top-down and bottom-up approaches were used to estimate and validate the total size of the data lake market. The top-down approach was used to derive the revenue contribution of top vendors and their offerings in the data lake industry. The bottom-up approach was used to arrive at the overall market size of the global data lake market using key companies’ revenue and their offerings in the market. The research methodology used to estimate the market size includes the following:
- The key players in the market were identified through extensive secondary research.
- The market size, in terms of value, was determined through primary and secondary research processes.
- All percentage, shares split, and breakups were determined using secondary sources and verified through primary sources.
Data Triangulation
After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.
Report Objectives
- To define, segment, and project the global market size for data lake
- To understand the structure of the data lake market by identifying its various subsegments
- To provide detailed information about key factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
- To analyze the micromarkets concerning individual growth trends, prospects, and their contribution to the overall market
- To project the size of the market and its submarkets, in terms of value, for the 5 regions (along with their respective key countries)
- To profile key players and comprehensively analyze their core competencies
- To understand the competitive landscape and identify significant growth strategies adopted by players across key regions
- To analyze competitive developments, such as expansions and fundings, new product launches, mergers and acquisitions, strategic partnerships and agreements in the data lake market
Available customizations
With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:
Product analysis
- Product matrix provides a detailed comparison of the product portfolio of each company
Geographic analysis
- Further breakup of the North American data lake market
- Further breakup of the European market
- Further breakup of the APAC market
- Further breakup of the Latin American market
- Further breakup of the MEA market
Company information
- Detailed analysis and profiling of additional market players up to 5
Growth opportunities and latent adjacency in Data Lake Market