Market Overview:
The global data lake visualization market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The market growth can be attributed to the increasing demand for big data and analytics solutions, rising need for data governance and security, and growing trend of cloud-based deployments. The on-premises segment is expected to hold the largest share of the global data lake visualization market in 2018, owing to the increasing demand for big data and analytics solutions among large enterprises. However, the cloud-based segment is projected to grow at a higher CAGR during the forecast period, due to its advantages such as scalability, flexibility, and cost-effectiveness. In terms of application, the large enterprises segment is expected to account for a larger share of the global market in 2018.
Product Definition:
Data Lake Visualization is the process of representing data in a graphical or pictorial form. It is used to make it easier for people to understand and use the data.
On-premises:
On-premises, it's usage and growth factor in Data Lake Visualization market? By function (Storage, Analytics), By deployment type (Cloud/SaaS, PaaS) And Segment Forecasts to 2020 -> The on-premises segment is expected to dominate the data lake visualization market. This can be attributed to the fact that organizations are more comfortable with their data being stored locally rather than having it stored remotely in a data center.
Cloud Based:
Cloud Based is a term used for storing large amounts of data on the remote server and making it available to multiple users over the internet. The data can be accessed from any location in real-time. It offers high storage capacity with no additional cost and allows easy access to the stored information.
It has been gaining huge acceptance among small, medium,.
Application Insights:
The large enterprises segment accounted for the largest revenue share of over 60% in 2017. The need for data management at large enterprises to improve business operations and enhance customer experience has led to an increased focus on data lakes. Large enterprises are increasingly adopting a DevOps approach by establishing a seamless integration between development, testing, and production environments. This approach requires the deployment of several applications across different tiers in order to provide high availability and disaster recovery capabilities. Such requirements have resulted in an increased demand for visualizing data lake solutions within large enterprise organizations as they offer cost-effective alternatives while improving application quality assurance processes across all tiers including development, test, and production environments.
Regional Analysis:
North America dominated the market in 2017. The growth of this region can be attributed to the presence of a large number of vendors offering data lake visualization solutions. These companies are focusing on developing new products and services that would help enterprises gain insights from big data more efficiently. Moreover, these vendors are collaborating with other companies to offer combined solutions for better results. For instance, in October 2018, Talend Semiconductor Inc., provider of software-defined infrastructure (SDI) and analytics platform technologies announced integration with DataArtisans’ Visual Discovery Platform (VDP). This collaboration offered customers an integrated end-to-end solution for creating visualizations across multiple sources and formats including raw unstructured text data within seconds without any coding skills required.
Growth Factors:
- Increasing demand for data lake visualization solutions from small and medium businesses (SMBs) due to the growing need for big data analytics and insights.
- Proliferation of self-service BI and big data platforms, which is driving the demand for data lake visualization tools that can provide users with an easy way to explore and analyze their data.
- The increasing popularity of Hadoop distributions such as Cloudera, Hortonworks, MapR, and Pivotal HD that are designed to work with large-scale datasets stored in a data lake architecture.
- The growing trend of organizations moving away from traditional enterprise reporting tools such as Business Objects, Cognos, MicroStrategy, etc., towards modern bigdata visualization platforms like Tableau Software Inc., Qlik Technologies Inc., TIBCO Software Inc., etc..
- Rapid advancements in bigdata technologies (e g Apache Spark) are making it easier for organizations to quickly analyze massive amounts of unstructured or semi-structured data residing in a Data Lake
Scope Of The Report
Report Attributes
Report Details
Report Title
Data Lake Visualization Market Research Report
By Type
On-premises, Cloud Based
By Application
Large Enterprises, SMEs
By Companies
Huawei, Amazon, Google, Tencent, Alibaba, IBM, Baidu, Microsoft, Databricks, Tableau, Datamatics
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
126
Number of Tables & Figures
89
Customization Available
Yes, the report can be customized as per your need.
Global Data Lake Visualization Market Report Segments:
The global Data Lake Visualization market is segmented on the basis of:
Types
On-premises, Cloud Based
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Large Enterprises, SMEs
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Huawei
- Amazon
- Google
- Tencent
- Alibaba
- IBM
- Baidu
- Microsoft
- Databricks
- Tableau
- Datamatics
Highlights of The Data Lake Visualization Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- On-premises
- Cloud Based
- By Application:
- Large Enterprises
- SMEs
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Data Lake Visualization Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Data Lake Visualization is a technique used to visualize data stored in a data lake. The data can be from any source, including relational databases, big data stores, and streaming sources such as logs or sensor readings. Data Lake Visualization allows analysts to explore the contents of the lake using various visualization tools and techniques.
Some of the major companies in the data lake visualization market are Huawei, Amazon, Google, Tencent, Alibaba, IBM, Baidu, Microsoft, Databricks, Tableau, Datamatics.
The data lake visualization market is expected to grow at a compound annual growth rate of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Data Lake Visualization Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Data Lake Visualization Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Data Lake Visualization Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Data Lake Visualization Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Data Lake Visualization Market Size & Forecast, 2020-2028
4.5.1 Data Lake Visualization Market Size and Y-o-Y Growth
4.5.2 Data Lake Visualization Market Absolute $ Opportunity
Chapter 5 Global Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Market Size Forecast by Type
5.2.1 On-premises
5.2.2 Cloud Based
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Market Size Forecast by Applications
6.2.1 Large Enterprises
6.2.2 SMEs
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Data Lake Visualization Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Data Lake Visualization Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Analysis and Forecast
9.1 Introduction
9.2 North America Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Market Size Forecast by Type
9.6.1 On-premises
9.6.2 Cloud Based
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Market Size Forecast by Applications
9.10.1 Large Enterprises
9.10.2 SMEs
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Analysis and Forecast
10.1 Introduction
10.2 Europe Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Market Size Forecast by Type
10.6.1 On-premises
10.6.2 Cloud Based
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Market Size Forecast by Applications
10.10.1 Large Enterprises
10.10.2 SMEs
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Market Size Forecast by Type
11.6.1 On-premises
11.6.2 Cloud Based
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Market Size Forecast by Applications
11.10.1 Large Enterprises
11.10.2 SMEs
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Analysis and Forecast
12.1 Introduction
12.2 Latin America Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Market Size Forecast by Type
12.6.1 On-premises
12.6.2 Cloud Based
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Market Size Forecast by Applications
12.10.1 Large Enterprises
12.10.2 SMEs
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Market Size Forecast by Type
13.6.1 On-premises
13.6.2 Cloud Based
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Market Size Forecast by Applications
13.10.1 Large Enterprises
13.10.2 SMEs
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Data Lake Visualization Market: Competitive Dashboard
14.2 Global Data Lake Visualization Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Huawei
14.3.2 Amazon
14.3.3 Google
14.3.4 Tencent
14.3.5 Alibaba
14.3.6 IBM
14.3.7 Baidu
14.3.8 Microsoft
14.3.9 Databricks
14.3.10 Tableau
14.3.11 Datamatics
