Global Data Classification Market – Industry Trends and Forecast to 2028

Market Analysis and Insights : Global Data Classification Market

The data classification market is expected to witness market growth at a rate of 24.29% in the forecast period of 2021 to 2028 and is expected to reach USD 5,197.92 million by 2028. Data Bridge Market Research report on data classification market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecast period while providing their impacts on the market’s growth. The growth in uncontrolled data volumes is escalating the growth of data classification market.

Data Classification refers to a process of categorizing or managing the data into various forms and types. The data is being classified or sorted in the process in accordance with the need of business or personal objective. The main purpose data classification is data management. The enterprise is segmented into private, restricted and public data.

The rise in the concerns regarding cybersecurity and safety, the mandate for adhering to regulatory compliances and the increasing volume of unstructured data with growing business are the major factors driving the data classification market. The rise in the utilization of solution in supporting data management to identify the risk and impact of mishandled data, high demand for classified data as it is convenient to process, safeguard and comply with data security policies and the increasing need for data classification and categorizing data in as public, internal, confidential and private classification accelerate the data classification market growth. The growing risk of cyberattacks on private, internal, and confidential information such as business plan, memos, plans, strategy documents, internal employee directory information, personnel information, non-disclosure agreement, client information, insider information, internal financial report, confidential customer information, regulatory information, merger and acquisition information and contracts among others influence the data classification market. Additionally, rapid digitization, intellectual property of enterprises, large amount of data, growing internet usage and complexity of information positively affect the data classification market. Furthermore, rise in demand for data driven decision-making process and integration of AI and ML into data classification extend profitable opportunities to the data classification market players in the forecast period of 2021 to 2028.     

On the other hand, complexities with classification schemes and terminologies are factors expected to obstruct the data classification market growth. Issues related with data pattern complexities in data classification and lack of awareness about data classification is projected to challenge the data classification market in the forecast period of 2021 to 2028.

This data classification market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on data classification market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Data Classification Market Scope and Market Size

The data classification market is segmented on the basis of component, deployment, classification, application and vertical. The growth among segments helps you analyze niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.     

• On the basis of component, the data classification market is segmented into solution and services. Solutions are further segmented into standalone and integrated. Services are further segmented into professional services and managed services.
• On the basis of deployment, the data classification market is segmented into on-premises and cloud.
• On the basis of classification, the data classification market is segmented into content-based classification, context-based classification and user-based classification.
• On the basis of application, the data classification market is segmented into GRC, access control, web, mobile and email protection and centralized management.
• On the basis of vertical, the data classification market is segmented into BFSI, defense and government, healthcare and life sciences, telecom and IT, education, media and entertainment and others.

Global Data Classification Market Country Level Analysis

The data classification market is analyzed and market size, volume information is provided by country, component, deployment, classification, application and vertical as referenced above.    

The countries covered in the global data classification market report are the U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC)  in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).

North America dominates the data classification market due to the presence of major and technologically advanced industries, high need to manage and store the information, digitally generated large volumes of information and massive regulation to safeguard client and stakeholder interests. Asia-Pacific is expected to witness significant growth during the forecast period of 2021 to 2028 because of the increasing data-driven industrialization, surge in the demand from to growing telecom and IT industry and introduction of government rules for small and large enterprises operating in the region.

The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.                    

 Competitive Landscape and Data Classification Market Share Analysis

The data classification market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to data classification market.

The major players covered in the data classification market report are Google, IBM Corporation,  Amazon Web Services, Inc., BOLDON JAMES, Covata Limited, DATAGUISE, Digital Guardian, Forcepoint, Clearswift, GTB Technologies, Inc., Informatica, Innovative Routines International (IRI), Inc., Janusnet Pty Limited, Microsoft, MinerEye, Netwrix Corporation, OpenText Corp., PKWARE, Inc. among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.

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