Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Data Discovery Tools Market by Type (Cloud-based, On-premises), By Application (Small and Medium Enterprises (SMEs), Large Enterprises) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Data Discovery Tools Market by Type (Cloud-based, On-premises), By Application (Small and Medium Enterprises (SMEs), Large Enterprises) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 291055 4200 Service & Software 377 136 Pages 4.8 (42)
                                          

Market Overview:


The global data discovery tools market is expected to grow from USD 2.02 billion in 2018 to USD 5.06 billion by 2030, at a CAGR of 13.8% during the forecast period. The growth of the market can be attributed to the increasing demand for big data and analytics solutions, growing need for self-service analytics, and rising trend of Bring Your Own Device (BYOD). However, lack of awareness about data discovery tools and their benefits may restrain the growth of this market to some extent. Based on type, the global data discovery tools market is segmented into cloud-based and on-premises. The cloud-based segment is projected to grow at a higher CAGR than the on-premises segment during the forecast period.


Global Data Discovery Tools Industry Outlook


Product Definition:


Data discovery tools allow business users to explore and analyze data on their own. They can quickly find the information they need without relying on IT. This is important because it allows businesses to make decisions based on data instead of gut feelings or hunches.


Cloud-based:


Cloud-based data discovery tools are software solutions that help users to access and search for information on the internet. The information can be found in different types of sources such as social media, web pages, images, etc. These tools also provide a user interface to filter and search through large amounts of data very easily.


The factors that propel the growth of this market include growing adoption rate by small & medium enterprises due to its cost effectiveness.


On-premises:


On-premises is a term used for the software and hardware systems that are installed at the customer's site. The on-premises deployment model has gained significant traction in recent years owing to its various benefits such as easy customization, high data security, low cost of ownership, and control over system upgrades. However, increasing demand for cloud computing technology may hinder market growth over the forecast period.


Application Insights:


The large enterprises segment dominated the global data discovery tools market in 2017. This can be attributed to factors such as high expenditure on information technology and growing demand for advanced data management solutions. The SMEs segment is expected to witness a lucrative CAGR of XX% from 2018 to 2030, in terms of revenue, owing to increasing penetration of cloud services and an increase in the number of start-ups across the globe.


Smaller organizations often lack skilled IT professionals who are capable handling complex technologies such as big Data analytics and business intelligence software. As a result, these smaller organizations opt for easy-to-use yet efficient business intelligence software that helps them make sense out of their vast amounts datasets with ease without having any knowledge about programming or coding languages required for its implementation or operation.


Regional Analysis:


North America dominated the global market in 2017. The region is expected to maintain its position during the forecast period. This can be attributed to the presence of prominent players such as IBM Corporation; Microsoft Corporation; and Google, Inc., among others. Moreover, these companies are consistently working toward improving their products and services by incorporating new features or enhancing existing ones as per customer requirements and feedbacks.


Asia Pacific is anticipated to emerge as a lucrative regional market over the forecast period owing to increasing adoption of data discovery tools by SMEs in countries such as China, India, Japan, South Korea & Australia for business intelligence needs along with rapid digitalization across enterprises in this region which has led them towards adopting big data technologies for better decision-making processes within their organizations thus driving growth of this vertical within Asia Pacific regional market during same time span.


Growth Factors:


  • Increasing demand for big data and analytics services
  • Proliferation of data-driven business models
  • Emergence of cloud-based data discovery tools
  • Growing popularity of self-service analytics platforms
  • Rising demand for advanced analytical and visualization capabilities

Scope Of The Report

Report Attributes

Report Details

Report Title

Data Discovery Tools Market Research Report

By Type

Cloud-based, On-premises

By Application

Small and Medium Enterprises (SMEs), Large Enterprises

By Companies

Dundas BI, IBM, Sisense, BOARD International, Birst, Domo, Looker, Yellowfin, InetSoft, Intellicus

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

136

Number of Tables & Figures

96

Customization Available

Yes, the report can be customized as per your need.


Global Data Discovery Tools Market Report Segments:

The global Data Discovery Tools market is segmented on the basis of:

Types

Cloud-based, On-premises

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

Small and Medium Enterprises (SMEs), Large Enterprises

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:

  1. Dundas BI
  2. IBM
  3. Sisense
  4. BOARD International
  5. Birst
  6. Domo
  7. Looker
  8. Yellowfin
  9. InetSoft
  10. Intellicus

Global Data Discovery Tools Market Overview


Highlights of The Data Discovery Tools Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. Cloud-based
    2. On-premises
  1. By Application:

    1. Small and Medium Enterprises (SMEs)
    2. Large Enterprises
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. Government Policies, Macro & Micro economic factors are also included in the report.

We have studied the Data Discovery Tools 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.

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Global Data Discovery Tools Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. Customization of the Report Available

Frequently Asked Questions?


Data Discovery Tools is a data discovery platform that helps users find and analyze data. It provides a search engine for data, as well as tools to help users explore and understand the data.

Some of the major players in the data discovery tools market are Dundas BI, IBM, Sisense, BOARD International, Birst, Domo, Looker, Yellowfin, InetSoft, Intellicus.

The data discovery tools market is expected to grow at a compound annual growth rate of 13.8%.

                                            
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Data Discovery Tools 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 Discovery Tools Market Dynamics       4.2.1 Market Drivers       4.2.2 Market Restraints       4.2.3 Market Opportunity    4.3 Data Discovery Tools 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 Discovery Tools 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 Discovery Tools Market Size & Forecast, 2018-2028       4.5.1 Data Discovery Tools Market Size and Y-o-Y Growth       4.5.2 Data Discovery Tools Market Absolute $ Opportunity

Chapter 5 Global Data Discovery Tools 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 Data Discovery Tools Market Size Forecast by Type
      5.2.1 Cloud-based
      5.2.2 On-premises
   5.3 Market Attractiveness Analysis by Type

Chapter 6 Global Data Discovery Tools 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 Data Discovery Tools Market Size Forecast by Applications
      6.2.1 Small and Medium Enterprises (SMEs)
      6.2.2 Large Enterprises
   6.3 Market Attractiveness Analysis by Applications

Chapter 7 Global Data Discovery Tools 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 Discovery Tools 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 Data Discovery Tools Analysis and Forecast
   9.1 Introduction
   9.2 North America Data Discovery Tools 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 Data Discovery Tools Market Size Forecast by Type
      9.6.1 Cloud-based
      9.6.2 On-premises
   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 Data Discovery Tools Market Size Forecast by Applications
      9.10.1 Small and Medium Enterprises (SMEs)
      9.10.2 Large Enterprises
   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 Data Discovery Tools Analysis and Forecast
   10.1 Introduction
   10.2 Europe Data Discovery Tools 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 Data Discovery Tools Market Size Forecast by Type
      10.6.1 Cloud-based
      10.6.2 On-premises
   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 Data Discovery Tools Market Size Forecast by Applications
      10.10.1 Small and Medium Enterprises (SMEs)
      10.10.2 Large Enterprises
   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 Data Discovery Tools Analysis and Forecast
   11.1 Introduction
   11.2 Asia Pacific Data Discovery Tools 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 Data Discovery Tools Market Size Forecast by Type
      11.6.1 Cloud-based
      11.6.2 On-premises
   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 Data Discovery Tools Market Size Forecast by Applications
      11.10.1 Small and Medium Enterprises (SMEs)
      11.10.2 Large Enterprises
   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 Data Discovery Tools Analysis and Forecast
   12.1 Introduction
   12.2 Latin America Data Discovery Tools 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 Data Discovery Tools Market Size Forecast by Type
      12.6.1 Cloud-based
      12.6.2 On-premises
   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 Data Discovery Tools Market Size Forecast by Applications
      12.10.1 Small and Medium Enterprises (SMEs)
      12.10.2 Large Enterprises
   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) Data Discovery Tools Analysis and Forecast
   13.1 Introduction
   13.2 Middle East & Africa (MEA) Data Discovery Tools 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) Data Discovery Tools Market Size Forecast by Type
      13.6.1 Cloud-based
      13.6.2 On-premises
   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) Data Discovery Tools Market Size Forecast by Applications
      13.10.1 Small and Medium Enterprises (SMEs)
      13.10.2 Large Enterprises
   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 Discovery Tools Market: Competitive Dashboard
   14.2 Global Data Discovery Tools Market: Market Share Analysis, 2019
   14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      14.3.1 Dundas BI
      14.3.2 IBM
      14.3.3 Sisense
      14.3.4 BOARD International
      14.3.5 Birst
      14.3.6 Domo
      14.3.7 Looker
      14.3.8 Yellowfin
      14.3.9 InetSoft
      14.3.10 Intellicus

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