Data Classification Market by Component (Solution and Services), Classification Type (Content-Based Classification, Context-Based Classification, User-Based Classification), Industry Vertical (BFSI, Defense and Government, Healthcare and Life Sciences, Telecom & IT, Education, Media and Entertainment, Others); and Region (North America, Europe, Asia Pacific, Middle East & Africa, South America), Global Forecast 2018 to 2028
Oct 2020
Total Pages: 131
Choose License Type
The global data classification Market size is anticipated to reach USD 3,628.5 million by 2028. The mandate to adhere to regulatory enforcement, the increasing amount of unstructured data, cybersecurity issues and data storage requirements are some of the key factors that drive rapid growth. The way to recognize the risk and effect of malicious data is critical in helping data protection. Besides, it is easy to store, protect, and stick to data protection standards in sensitive data.
Big technology and machine learning can prove to be a game-changer for business in the modern age of data fueling. Big data require data classification to carry out the mission of making management decisions with quality information. The need to define data depends on its broad volume, speed, and various components of information, which are organized or unstructured.
With the support of data classification tools, data security, and the location is enabled, which is one of the core elements driving growth in the demand for tools for data classification. The use of data classification tools will easily deal with internal menaces, thus fueling the demands of the data classification tools during the forecast era.
With data classification tools, cloud-based data can be easily handled such that an enhanced cloud-based data management system is a key factor improving the consumer demand for data classification tools over the forecast era. Through the use of data classification instruments, the data can be obtained quickly and data classification can be streamlined. This is hence another driving force behind the development of the demand for data classification software.
The risk of data vulnerability has risen exponentially, as much of the digital data is accessible on mobile applications. In particular, multinational companies, as they struggle with preserving, migrating, moving, and outsourcing their customer data to open source systems, face difficult challenges about their data privacy and insecurity.
With rising instances of cyber threats, the request for data classification is increasing, as the method of classification makes it easier to identify and find data. Data classification is of special significance in the fields of risk control, enforcement, and data protection. The increasing emphasis on efficiency enhancement and cost savings thus encourages the development of the data classification industry.
Key Segments of the Global End-user Experience Monitoring Market
Component Overview, 2018-2028 (USD Million)
- Solution
- Services
Classification Type Overview, 2018-2028 (USD Million)
- Content-Based Classification
- Context-Based Classification
- User-Based Classification
Industry Vertical Overview, 2018-2028 (USD Million)
- BFSI
- Defense and Government
- Healthcare and Life Sciences
- Telecom & IT
- Education
- Media and Entertainment
- Others
Regional Overview, 2018-2028 (USD Million)
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- Rest of Asia-Pacific
- Middle East and Africa
- UAE
- South Africa
- Rest of Middle East and Africa
- South America
- Brazil
- Rest of South America
Reasons for the study
- The purpose of the study is to give an exhaustive outlook of the global End-user Experience Monitoring Market. Benchmark yourself against the rest of the market.
- Ensure you remain competitive as innovations by existing key players to boost the market.
What does the report include?
- The study on the global End-user Experience Monitoring Market includes qualitative factors such as drivers, restraints, and opportunities
- The study covers the competitive landscape of existing/prospective players in the End-user Experience Monitoring industry and their strategic initiatives for the product development
- The study covers a qualitative and quantitative analysis of the market segmented based on Component, organization size, Industry Vertical, and End User. Moreover, the study provides similar information for the key geographies.
- Actual market sizes and forecasts have been provided for all the above-mentioned segments.
Who should buy this report?
- This study is suitable for industry participants and stakeholders in the global End-user Experience Monitoring Market. The report will benefit:
- Every stakeholder involved in the End-user Experience Monitoring Market.
- Managers within the Tech companies looking to publish recent and forecasted statistics about the global End-user Experience Monitoring Market.
- Government organizations, regulatory authorities, policymakers, and organizations looking for investments in trends of global End-user Experience Monitoring Market.
- Analysts, researchers, educators, strategy managers, and academic institutions looking for insights into the market to determine future strategies.
The data classification tools allow businesses to categorize data according to customary or predefined policies to guarantee the protection of personal data of a business. In terms of privacy compliance and data regulation, data classification tools adopt this protocol. Advanced functionality such as the visibility of content in databases, the marking of file classifications, file-path parsing, policy-based control, and monitoring, and the classification of background categories are included in the data classification tools. To provide real data mining, sophisticated data classification tools for information classification and management go beyond the search.
The tools for classification of data also help us finish data that is identical to a name, name of the organization, number of the account, or even a data point in a cell. Many of the techniques used to detect topics or paper summaries use meaning or pattern recognition. Some data classification methods display the contents of the confidential files that can use and access those files where the files are stored. Data classification tools organize and find information according to specified guidelines.
Data classification tools for classifying data define search, transfer, and index data according to the policy of the company. The data classification tools distinguish data according to various methods, whether or not the data file is organized or not. Via these data classification tools, the data can be transferred or relocated to a suitable storage subsystem.
Component Segment
The Solutions Segment was the biggest market share in 2018 with more than 69 percent and will display a similar pattern over the projected period. Adoption is further strengthened by the need to conform with and evaluate historical knowledge in potential decisions in key sectors such as the BFSI, hospitals, government and defense, and telecom and IT. Furthermore, manufacturers are actively designing competitive options to continue on the market.
Classification Type Segment
The paradigeon improvements in the use of a vast quantity of knowledge and human precision in deciding the type of data during the initial implementation process also raised the need for a user-based classification solution. Dues to the availability of features like user-friendly deployment and real-time danger warning, the user-based classification category accounted for the largest market share of more than 46 percent in 2018. The file at the end of the user may also launch an instant correction. This element is expected to drive the segment's rise. The user-based approach to data classification enables users to use their information to create, modify, review, or sensitive share documents. Each document's manual approach and the end-user option is mostly applied in all industries and are the most common approaches. Vendors such as Symantec Corporation and Boldon James provide their Data Loss Prevention (DLP) and Classifier Foundation Suites to be categorized using user-based data. Such improvement in user-based classification will continue to increase the segment over the forecast period.
Industry Vertical Analysis
The BFSI segment was estimated at USD 139 million in 2018, as BFSI data are critical for the protection of the country's economy. The BFSI business is most profitable vertically, because of its susceptibility to cyber threats, data robbery, and strict regulation. Also, telecommunications and IT verticals are another big adopters, owing to the production, based on their classification, of a large volume of non-structures. Both industries contain valuable consumer information that hackers may use, requiring data classification solutions. Another significant contributor to the rising market share is the BFSI industry. The BFSI industry receives and maintains user permission information for its financial account. This type of knowledge is also targeted by hackers so that the national economy will crash and the DLP and data classification solution can be prevented.
The global market is segmeneted into North America, Europe, Asia Pacific, South America, and the Middle East and Africa. North America region has a significant share in the global market owing to the presence of several data classification providers such as IBM and Microsoft.
The global market for Data Classification is made up of a large number of influential players. Market players such as Amazon Web Services, Inc.; Covata; Symantec Corporation; Varonis; Google, Inc.; IBM Corporation; Boldon James; Microsoft; Open Text Corporation; Innovative Routines International (IRI), Inc.; Veritas dominate the worldwide data classification market.
The global data classification Market size is anticipated to reach USD 3,628.5 million by 2028. The mandate to adhere to regulatory enforcement, the increasing amount of unstructured data, cybersecurity issues and data storage requirements are some of the key factors that drive rapid growth. The way to recognize the risk and effect of malicious data is critical in helping data protection. Besides, it is easy to store, protect, and stick to data protection standards in sensitive data.
Big technology and machine learning can prove to be a game-changer for business in the modern age of data fueling. Big data require data classification to carry out the mission of making management decisions with quality information. The need to define data depends on its broad volume, speed, and various components of information, which are organized or unstructured.
With the support of data classification tools, data security, and the location is enabled, which is one of the core elements driving growth in the demand for tools for data classification. The use of data classification tools will easily deal with internal menaces, thus fueling the demands of the data classification tools during the forecast era.
With data classification tools, cloud-based data can be easily handled such that an enhanced cloud-based data management system is a key factor improving the consumer demand for data classification tools over the forecast era. Through the use of data classification instruments, the data can be obtained quickly and data classification can be streamlined. This is hence another driving force behind the development of the demand for data classification software.
The risk of data vulnerability has risen exponentially, as much of the digital data is accessible on mobile applications. In particular, multinational companies, as they struggle with preserving, migrating, moving, and outsourcing their customer data to open source systems, face difficult challenges about their data privacy and insecurity.
With rising instances of cyber threats, the request for data classification is increasing, as the method of classification makes it easier to identify and find data. Data classification is of special significance in the fields of risk control, enforcement, and data protection. The increasing emphasis on efficiency enhancement and cost savings thus encourages the development of the data classification industry.
Key Segments of the Global End-user Experience Monitoring Market
Component Overview, 2018-2028 (USD Million)
- Solution
- Services
Classification Type Overview, 2018-2028 (USD Million)
- Content-Based Classification
- Context-Based Classification
- User-Based Classification
Industry Vertical Overview, 2018-2028 (USD Million)
- BFSI
- Defense and Government
- Healthcare and Life Sciences
- Telecom & IT
- Education
- Media and Entertainment
- Others
Regional Overview, 2018-2028 (USD Million)
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- Rest of Asia-Pacific
- Middle East and Africa
- UAE
- South Africa
- Rest of Middle East and Africa
- South America
- Brazil
- Rest of South America
Reasons for the study
- The purpose of the study is to give an exhaustive outlook of the global End-user Experience Monitoring Market. Benchmark yourself against the rest of the market.
- Ensure you remain competitive as innovations by existing key players to boost the market.
What does the report include?
- The study on the global End-user Experience Monitoring Market includes qualitative factors such as drivers, restraints, and opportunities
- The study covers the competitive landscape of existing/prospective players in the End-user Experience Monitoring industry and their strategic initiatives for the product development
- The study covers a qualitative and quantitative analysis of the market segmented based on Component, organization size, Industry Vertical, and End User. Moreover, the study provides similar information for the key geographies.
- Actual market sizes and forecasts have been provided for all the above-mentioned segments.
Who should buy this report?
- This study is suitable for industry participants and stakeholders in the global End-user Experience Monitoring Market. The report will benefit:
- Every stakeholder involved in the End-user Experience Monitoring Market.
- Managers within the Tech companies looking to publish recent and forecasted statistics about the global End-user Experience Monitoring Market.
- Government organizations, regulatory authorities, policymakers, and organizations looking for investments in trends of global End-user Experience Monitoring Market.
- Analysts, researchers, educators, strategy managers, and academic institutions looking for insights into the market to determine future strategies.
Chapter 1 Introduction
1.1 Introduction to the Study
1.2 Market Definition and Scope
1.3 Units, Currency, Conversions, and Years Considered
1.4 Key Stakeholders
1.5 Key Questions Answered
Chapter 2 Research Methodology
2.1 Introduction
2.2 Data Capture Sources
2.2.1 Primary Sources
2.2.2 Secondary Sources
2.3 Market Size Estimation
2.4 Market Forecast
2.5 Data Triangulation
2.6 Assumptions and Limitations
Chapter 3 Executive Summary
Chapter 4 Market Outlook
4.1 Introduction
4.2 Value Chain Analysis
4.3. Technological Overview
4.4. Regulatory Framework
4.5. COVID-19 Impact Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.2 Restraints
4.3.3 Opportunities
4.4 PEST Analysis
Chapter 5 End-user Experience Monitoring Market by Component, 2018-2028 (in USD Million)
5.1 Introduction
5.2 Solution
5.3 Services
5.3.1 Professional Services
5.3.2 Managed Services
Chapter 6 End-user Experience Monitoring Market by Classification Type, 2018-2028 (in USD Million)
6.1 Introduction
6.1.1 Content-Based Classification
6.1.2 Context-Based Classification
6.1.3 User-Based Classification
Chapter7 End-user Experience Monitoring Market by Industry Vertical, 2018-2028 (in USD Million)
7.1 Introduction
7.2 BFSI
7.3 Government
7.4 Education
7.5 Healthcare
7.6 IT and Telecom
7.7 Others
Chapter 8 End-user Experience Monitoring Market by Region
8.1 Introduction
8.2 North America
8.2.1 U.S.
8.2.2 Canada
8.3 Europe
8.3.1 Germany
8.3.2 France
8.3.3 UK
8.3.4 Rest of Europe
8.4 Asia Pacific
8.4.1 China
8.4.2 Japan
8.4.3 India
8.4.4 Rest of Asia Pacific
8.5 Middle East & Africa
8.5.1 UAE
8.5.2 South Africa
8.5.3 Rest of Middle East & Africa
8.6 South America
8.6.1 Brazil
8.6.2 Rest of South America
Chapter 9 Competitive Landscape
9.1 Overview
9.2 Strategic Initiatives
9.2.1 Mergers & Acquisitions
9.2.2 New Product Launch
9.2.3 Investments
9.2.4 Expansion
9.2.5 Others
Chapter 10 Company Profiles
10.1 Amazon Web Services, Inc
10.1.1 Overview
10.1.2 Products and Services Portfolio
10.1.3 Recent Initiatives
10.1.4 Company Financials
10.1.5 SWOT
10.2 Covata
10.2.1 Overview
10.2.2 Products and Services Portfolio
10.2.3 Recent Initiatives
10.2.4 Company Financials
10.2.5 SWOT
10.3 Symantec Corporation
10.3.1 Overview
10.3.2 Products and Services Portfolio
10.3.3 Recent Initiatives
10.3.4 Company Financials
10.3.5 SWOT
10.4 Varonis
10.4.1 Overview
10.4.2 Products and Services Portfolio
10.4.3 Recent Initiatives
10.4.4 Company Financials
10.4.5 SWOT
10.5 Google
10.5.1 Overview
10.5.2 Products and Services Portfolio
10.5.3 Recent Initiatives
10.5.4 Company Financials
10.5.5 SWOT
10.6 Boldon James
10.6.1 Overview
10.6.2 Products and Services Portfolio
10.6.3 Recent Initiatives
10.6.4 Company Financials
10.6.5 SWOT
10.7 Microsoft
10.7.1 Overview
10.7.2 Products and Services Portfolio
10.7.3 Recent Initiatives
10.7.4 Company Financials
10.7.5 SWOT
10.8 Open Text Corporation
10.8.1 Overview
10.8.2 Products and Services Portfolio
10.8.3 Recent Initiatives
10.8.4 Company Financials
10.8.5 SWOT
10.9 Symantec
10.9.1 Overview
10.9.2 Products and Services Portfolio
10.9.3 Recent Initiatives
10.9.4 Company Financials
10.9.5 SWOT
10.10 IBM
11.10.1 Overview
11.10.2 Products and Services Portfolio
11.10.3 Recent Initiatives
11.10.4 Company Financials
11.10.5 SWOT