<産業資料/調査レポートの題名> 2022年7月17日

世界のデータレイク市場:コンポーネント別、展開モード別、組織規模別、業務機能別(マーケティング、運用、および人事)、業種別(BFSI、ヘルスケアおよびライフサイエンス、製造)、地域別


◆英文タイトル: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

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 Market Top 3 Business Functions
4.3 Market By Region
4.4 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
10.10 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 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 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 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 Market in Brazil
11.6.2 Mexico
11.6.2.1 Investments By Multinational Companies to Boost the Growth of 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, Platforms, Solutions, Products & 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, Platforms, Solutions, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not be Captured in Case of Unlisted Companies.
14 Appendix (Page No. – 182)
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


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