Global Data Discovery Market Size study, by Raw Material (Polypropylene, Cotton, Polyester, Viscose), by Fabric Type (Non-woven, Woven, Knitted), by Application (Hygiene, Dressing, Clothing, Curtains), and Regional Forecasts 2020-2027

  • Product Code:
    RP-ID-10346882
  • Published Date:
    22 Feb 2021
  • Region:
    Global
  • Pages:
    200
  • Category:
    ICT & Telecom
  • Publisher:
    Pub-ID-14

Impact Analysis on the Growth of Market

Activating Probable Propositions Amidst COVID-19 Crisis

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Global Data Discovery Market is valued at approximately USD 6.1 billion in 2019 and is anticipated to grow with a healthy growth rate of more than 15.6 % over the forecast period 2020-2027. The method of finding patterns and trends in web data through data collection and analysis is data discovery. It is the initial step in leveraging web data with useful driven analytics to inform future important business decisions. Data is collected, combined, and analyzed through the discovery process to provide organizations with more detailed information about their consumers, market, and industry. The rising importance of extracting their data and drawing meaningful analysis for driving market growth and building competitive edge is being realized by most companies across industries. Due to the use of IoT devices, sensors, and geospatial devices, every organization generates vast quantities of data. It is the requirement of the day to produce insights from structured and unstructured data by unifying them into particular formats so that the end-user can validate and understand it. Sensitive discovery of data is vital to the creation and maintenance of an effective strategy for data protection. Moreover, various types of organic as well as inorganic growth strategies have been adopted by data exploration vendors, such as new product releases, product updates, alliances and agreements, company extensions, and mergers and acquisitions to improve their market offerings. For instance:
• IBM unveiled a new risk-based service, IBM Risk Analytics, in September 2020. The solution is designed to help companies apply the same analytics to cybersecurity spending goals that are used for conventional business decisions. In order to help customers recognize, prioritize and measure security threats, the new service generates risk assessments as they weigh decisions such as deploying new technology, making investments in their organization, and changing processes.
• In November 2020, PKWARE acquired Dataguise in November 2020, a company with revolutionary technologies for organizations to discover and safeguard personal data stored through various IT systems and environments. The acquisition will broaden the global presence of PKWARE as it continues the operations of the existing offices of Dataguise in the US, India, Europe and Canada.
However, sometimes, companies struggle to recognize where their resources need to be distributed. This inability to assign resources results in the complete potential of data exploration not being extracted. Because of the lack of experience and technical skills to use cloud-based data discovery technologies optimally, most companies will still not take full advantage of data discovery resources in the cloud., may impede market growth over the forecast period of 2020-2027.

The regional analysis of the global Data Discovery Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America is the leading/significant region across the world in terms of market share owing to the commercialization of the AI and ML technology in the region. Whereas Asia Pacific is also anticipated to exhibit the highest growth rate / CAGR over the forecast period 2020-2027, due to rising awareness for privacy and data security amongst organizations in important countries, such as India, China, and Japan.

Major market player included in this report are:
IBM
Microsoft
Oracle
Salesforce
SAS Institute
Google
AWS
Micro Focus
MicroStrategy
Cloudera

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component:
Solutions
Services
Support and Maintenance
By organization size:
Large Enterprises
Small and Medium-sized Enterprises (SMEs)
By deployment mode:
On-premises
Cloud
By Application:
Security and Risk Management
Sales and Marketing Management
Asset Management

By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2017, 2018
Base year – 2019
Forecast period – 2020 to 2027.

Target Audience of the Global Data Discovery Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2018-2027 (USD Billion)
1.2.1. Data Discovery Market, by Region, 2018-2027 (USD Billion)
1.2.2. Data Discovery Market, by component, 2018-2027 (USD Billion)
1.2.3. Data Discovery Market, by organization size, 2018-2027 (USD Billion)
1.2.4. Data Discovery Market, by deployment mode, 2018-2027 (USD Billion)
1.2.5. Data Discovery Market, by application, 2018-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Data Discovery Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Data Discovery Market Dynamics
3.1. Data Discovery Market Impact Analysis (2018-2027)
3.1.1. Market Drivers
3.1.2. Market Challenges
3.1.3. Market Opportunities
Chapter 4. Global Data Discovery Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2017-2027)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Data Discovery Market, by Component
5.1. Market Snapshot
5.2. Global Data Discovery Market by Component , Performance - Potential Analysis
5.3. Global Data Discovery Market Estimates & Forecasts by Component 2017-2027 (USD Billion)
5.4. Data Discovery Market, Sub Segment Analysis
5.4.1. Solutions
5.4.2. Services
5.4.3. Support and Maintenance
Chapter 6. Global Data Discovery Market, by Organization size
6.1. Market Snapshot
6.2. Global Data Discovery Market by Organization size, Performance - Potential Analysis
6.3. Global Data Discovery Market Estimates & Forecasts by Organization size 2017-2027 (USD Billion)
6.4. Data Discovery Market, Sub Segment Analysis
6.4.1. Large Enterprises
6.4.2. Small and Medium-sized Enterprises (SMEs)
Chapter 7. Global Data Discovery Market, by Deployment Mode
7.1. Market Snapshot
7.2. Global Data Discovery Market by Deployment Mode, Performance - Potential Analysis
7.3. Global Data Discovery Market Estimates & Forecasts by Deployment Mode 2017-2027 (USD Billion)
7.4. Data Discovery Market, Sub Segment Analysis
7.4.1. On-premises
7.4.2. Cloud
Chapter 8. Global Data Discovery Market, by Application
8.1. Market Snapshot
8.2. Global Data Discovery Market by Application, Performance - Potential Analysis
8.3. Global Data Discovery Market Estimates & Forecasts by Application 2017-2027 (USD Billion)
8.4. Data Discovery Market, Sub Segment Analysis
8.4.1. Security and Risk Management
8.4.2. Sales and Marketing Management
8.4.3. Asset Management
Chapter 9. Global Data Discovery Market, Regional Analysis
9.1. Data Discovery Market, Regional Market Snapshot
9.2. North America Data Discovery Market
9.2.1. U.S. Data Discovery Market
9.2.1.1. Component breakdown estimates & forecasts, 2017-2027
9.2.1.2. Organization size breakdown estimates & forecasts, 2017-2027
9.2.1.3. Deployment mode breakdown estimates & forecasts, 2017-2027
9.2.1.4. Application breakdown estimates & forecasts, 2017-2027
9.2.2. Canada Data Discovery Market
9.3. Europe Data Discovery Market Snapshot
9.3.1. U.K. Data Discovery Market
9.3.2. Germany Data Discovery Market
9.3.3. France Data Discovery Market
9.3.4. Spain Data Discovery Market
9.3.5. Italy Data Discovery Market
9.3.6. Rest of Europe Data Discovery Market
9.4. Asia-Pacific Data Discovery Market Snapshot
9.4.1. China Data Discovery Market
9.4.2. India Data Discovery Market
9.4.3. Japan Data Discovery Market
9.4.4. Australia Data Discovery Market
9.4.5. South Korea Data Discovery Market
9.4.6. Rest of Asia Pacific Data Discovery Market
9.5. Latin America Data Discovery Market Snapshot
9.5.1. Brazil Data Discovery Market
9.5.2. Mexico Data Discovery Market
9.6. Rest of The World Data Discovery Market
Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. IBM
10.2.1.1. Key Information
10.2.1.2. Overview
10.2.1.3. Financial (Subject to Data Availability)
10.2.1.4. Product Summary
10.2.1.5. Recent Developments
10.2.2. Microsoft
10.2.3. Oracle
10.2.4. Salesforce
10.2.5. SAS Institute
10.2.6. Google
10.2.7. AWS
10.2.8. Micro Focus
10.2.9. MicroStrategy
10.2.10. Cloudera

Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

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IBM
Microsoft
Oracle
Salesforce
SAS Institute
Google
AWS
Micro Focus
MicroStrategy
Cloudera

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