Global Data Lake Market Analysis Report Report 2022: Market Revenue for 2021, Estimates for 2022 and 2023, and CAGR Projections through 2027
Global Data Lake Market
Dublin, Aug. 26, 2022 (GLOBE NEWSWIRE) -- The "Data Lake: Global Markets" report has been added to ResearchAndMarkets.com's offering.
This report provides an overview of the global data lake market and analyzes market trends. Using 2021 as the base year, the report provides estimated market data for the forecast period from 2022 through 2027. Revenue forecasts for this period are segmented based on component, deployment mode, organization size, industry and region.
Organizations are embracing the data lake design pattern, as it provides them with the ability to use raw data for data exploration and advanced analytics. A data lake can be an efficient data-driven technique in the process for capturing various data types in a large volume of data that may be old or new. It is designed to quickly accept raw, precise source data and to process that data in real-time for operations, analytics and exploration purposes.
The lack of professional expertise and metadata, however, is leading to data swamps and hindering market growth. Apart from drivers and restraints, a shift toward cloud-based data platforms to manage and mitigate data issues; a rise in the adoption of advanced technologies, such as artificial intelligence (AI), internet of things (IoT) and analytics; and growing demand to improve operational efficiency will create huge opportunities for vendors in the market.
In this report, the global data lake market has been segmented based on offering, business function, deployment mode, organization size, end-user industry and region. Based on offering, the market has been segmented into solutions and services. The solutions segment is further segmented into data discovery, data integration and management, data lake analytics and data visualization. The services segment is further categorized into managed services and professional services.
Based on deployment mode, the data lake market has been segmented into on-premises and cloud. Based on organization size, the market has been segmented into small and medium enterprises (SMEs) and large enterprises. Large enterprises currently dominate the market, but SMEs are expected to be fastest-growing segment during the forecast period.
Based on business function, the data lake market has been segmented into marketing, sales, operations, finance and human resources. Operations is expected to be the fastest-growing segment during the forecast period.
Based on end-user industry, the data lake market has been segmented into banking, financial services and insurance (BFSI), telecommunication and information technology (IT), government, retail and ecommerce, healthcare and life sciences, manufacturing, energy and utilities, media and entertainment and others. BFSI held the largest market share in 2021, but healthcare and life sciences are expected to be the fastest-growing industries for data lake market during the forecast period.
The report also focuses on the major trends and challenges that affect the market and the competitive landscape. It explains the current market trends and provides detailed profiles of the major players and the strategies they adopt to enhance their market presence. The report estimates the size of the global data lake market in 2021 and provides projections of the expected market size through 2027.
Descriptive company profiles of the leading global players, including Alphabet (Google), Amazon Web Services, Microsoft Corp., IBM Corp., Oracle, SAP SE and Cloudera Inc.
Report Includes
An overview of the global markets for data lake, often referred to as next-generation hybrid data management solution
Analyses of the global market trends, with market revenue for 2021, estimates for 2022 and 2023, and projections of compound annual growth rates (CAGRs) through 2027
Understanding of the upcoming market opportunities and areas of focus to forecast the market into various segments
Estimation of the actual market size and market forecast for data lake, projected growth trends, and corresponding market share analysis by technology offering, business function, deployment mode, organization size, end-user industry, and region
Coverage of the technological, economic, and business considerations of the global data lake market
Insight into the Porter's five forces analysis covering various market and economic factors within data lake landscape, and a relevant patent analysis for data lake technology
Updated information on ongoing research activities for data lake, key technology issues, industry specific challenges, major types of end-user markets, and COVID-19 effects on this market
Review of recent merger and acquisition deals, partnerships, collaborations business expansions, and product launch strategies within the market for data lake technology
Identification of the major stakeholders and analysis of the competitive landscape based on recent developments and segmental revenues
Key factors driving the growth of the current data lake market include:
Increasing focus on enhancing customer interactions and customer experience.
Simplified access to organizational data in departmental silos, mainframe and legacy systems.
Increasing need to extract in-depth insights from growing volume of data to gain a competitive advantage.
Key Topics Covered:
Chapter 1 Introduction
Chapter 2 Summary and Highlights
Chapter 3 Market Overview
Introduction
Importance of Data Lake in Businesses
Data Lake Architecture
Data Lake Maturity Stages
Data Lake Versus Data Warehouse
Data Lake Evolution
Market Dynamics
Regulatory Structure
Porter's Five Force Analysis
Covid-19 Impact on the Market
Patent Analysis
Data Lake Patents, by Applicant Company
Data Lake Patents, by Country
Patents Classification
Use Case Analysis
Chapter 4 Market Breakdown by Offering
Solutions
Data Discovery
Data Integration and Management
Data Lake Analytics
Data Visualization
Services
Professional Services
Managed Services
Chapter 5 Market Breakdown by Business Functions
Introduction
Marketing
Regional Market for Marketing Business Function
Sales
Operations
Finance
Human Resource
Chapter 6 Market Breakdown by Deployment Mode
On-Premises
Regional On-Premises Deployment Market
Cloud
Regional Cloud Deployment Market
Chapter 7 Market Breakdown by Organization Size
Introduction
Large Enterprises
Small and Medium Enterprises
Chapter 8 Market Breakdown by End-User Industry
Banking, Financial Services and Insurance
Regional Market for BFSI Industry End-Use
Government
Telecommunications and Information Technology
Healthcare and Life Sciences
Manufacturing
Retail and Ecommerce
Energy and Utilities
Media and Entertainment
Transportation and Logistics
Education
Travel and Hospitality
Chapter 9 Market Breakdown by Region
Introduction
North American Market Outlook
North American Market, by Country
North American Market, by Segments
European Market Outlook
European Market, by Country
European Market, by Segments
Asia-Pacific Market Outlook
Asia-Pacific Market, by Country
Asia-Pacific Market, by Segments
Rest of World Market Outlook
Rest of World Market, by Sub-Region
Rest of World Market, by Segments
Chapter 10 Competitive Landscape
Market Competition
Strategic Analysis
Product Launches and Developments
Agreements, Collaborations and Partnerships
Acquisitions, Expansions, Merger and Investment
Chapter 11 Company Profiles
Alphabet Inc. (Google LLC)
Amazon.Com, Inc.
Atos Se
Cloudera Inc.
Dremio Corp.
Exacaster
Hewlett Packard Enterprise Co.
International Business Machines Corp.
Informatica Inc.
Infoworks.Io Inc.
Microsoft Corp.
Oracle Corp.
Sap Se
Sas Institute Inc.
Snowflake Inc.
Solix Technologies Inc.
Tata Consultancy Services Ltd.
Temenos AG
Teradata Corp.
Zaloni Inc.
For more information about this report visit https://www.researchandmarkets.com/r/4xda29
Attachment
CONTACT: CONTACT: ResearchAndMarkets.com Laura Wood, Senior Press Manager press@researchandmarkets.com For E.S.T Office Hours Call 1-917-300-0470 For U.S./CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900
