- November 15, 2020
- Category: Information and Communication Technology, Next Generation Technology
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
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 22.214.171.124. Component breakdown estimates & forecasts, 2017-2027 126.96.36.199. Organization size breakdown estimates & forecasts, 2017-2027 188.8.131.52. Deployment mode breakdown estimates & forecasts, 2017-2027 184.108.40.206. 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
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:
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:
Support and Maintenance
By organization size:
Small and Medium-sized Enterprises (SMEs)
By deployment mode:
Security and Risk Management
Sales and Marketing Management
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
Value-Added Resellers (VARs)
Third-party knowledge providers