The Data Discovery Global Market Report 2023, provides comprehensive information on the data discovery market across 60+ geographies in the seven regions - Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa for the 27 major global industries. The report covers a ten year historic period – 2010-2021, and a ten year forecast period – 2023-2032.
Learn More On The Data Discovery Market’s Growth:
https://www.thebusinessresearchcompany.com/report/data-discovery-global-market-report
As per The Business Research Company’s Data Discovery Global Market Report 2023, the market size is expected to grow from$12.29 billion in 2022 to $14.5 billion in 2023 at a compound annual growth rate (CAGR) of 18.0%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The market size of the data discovery is expected to grow to $27.55 billion in 2027 at a CAGR of 17.4%.
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The data discovery market is segmented:
1) By Component: Software, Service
2) By Deployment Model: Cloud-Based, On Premises
3) By Organization Size: Large Enterprises, Small Enterprises
4) By Industry Verticals: Banking, Financial Services, and Insurance (BFSI), Telecommunications and IT, Retail and E-Commerce, Manufacturing, Energy and Utilities, Other Industry Verticals
Top Major Players:
Oracle Systems Corporation
Tableu Software LLC
Systems
Applications & Products in Data Processing
Alteryx
North America was the largest region in the data discovery market in 2022.
The table of contents in TBRC’s data discovery market report includes:
1. Executive Summary
2. Data Discovery Market Characteristics
3. Data Discovery Market Trends And Strategies
4. Data Discovery Market – Macro Economic Scenario
5. Data Discovery Market Size And Growth
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26. Africa Data Discovery Market
27. Data Discovery Market Competitive Landscape And Company Profiles
28. Key Mergers And Acquisitions In The Data Discovery Market
29. Data Discovery Market Future Outlook and Potential Analysis
30. Appendix
List of Tables:
Table 1: Global Historic Market Growth, 2017-2022, $ Billion
Table 2: Global Forecast Market Growth, 2022-2027F, 2032F, $ Billion
Table 3: Global Data Discovery Market, Segmentation By Component, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
Table 4: Global Data Discovery Market, Segmentation By Deployment Model, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
Table 5: Global Data Discovery Market, Segmentation By Organization Size, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
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Table 47: Oracle Systems Corporation Financial Performance
Table 48: Tableu Software LLC Financial Performance
Table 49: Systems, Applications & Products in Data Processing Financial Performance
Table 50: Alteryx Financial Performance
Table 51: Platfora Inc Financial Performance
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The global sensitive data discovery market size to grow from USD 5.1 billion in 2020 to USD 12.4 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 16.1% during the forecast period.
Various factors such as the growing need to discover sensitive structured and unstructured data, increasing investments in data privacy with evolving regulations, and rise in remote workers and real-time data access are expected to drive the adoption of the sensitive data discovery solutions and services.Sensitive data discovery is the process of identifying and locating sensitive data to protect or securely remove pieces compromising information.
Sensitive data discovery solutions remediate compliance breaches in real-time and quarantine, delete, or revoke access to exposed data.Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=191231584Some of the key players operating in the sensitive data discovery market include IBM (US),Microsoft (US),Oracle (US), AWS (US), Proofpoint (US), Google (US), SolarWinds (US), Micro Focus (UK), PKWARE (US), Thales (France), Spirion (US), Egnyte (US), Netwrix (US), Varonis (US), Digital Guardian (US), Solix (US), Immuta (US), MENTIS (US), Ground Labs (US), Hitachi (Japan), Nightfall (US), Securiti (US), DataGrail (US), Dathena (Singapore), BigID (US), DataSunrise (US), and 1touch.io (US).
These sensitive data discovery vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the global sensitive data discovery market.IBM was founded in 1911 and is headquartered in New York, US.
As of December 31, 2019, IBM’s total employee strength, including that of its wholly owned subsidiaries, was 352,600.
IBM offers smarter data protection platform that offers actionable insights, real-time controls, and automated compliance support through data discovery and classification.
Data Discovery Software Market Insights 2019, Global and Chinese Scenario is a professional and in-depth study on the current state of the global Data Discovery Software industry with a focus on the Chinese market.
The report provides key statistics on the market status of the Data Discovery Software manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.Overall, the report provides an in-depth insight of 2014–2024 global and Chinese Data Discovery Software market covering all important parameters.The key points of the report:The report provides a basic overview of the industry including its definition, applications and manufacturing technology.The report explores the international and Chinese major industry players in detail.
In this part, the report presents the company profile, product specifications, capacity, production value, and 2014–2019 market shares for each company.Through the statistical analysis, the report depicts the global and Chinese total market of Data Discovery Software industry including capacity, production, production value, cost/profit, supply/demand and Chinese import/export.The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.The report then estimates 2019–2024 market development trends of Data Discovery Software industry.
Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out.The report makes some important proposals for a new project of Data Discovery Software Industry before evaluating its feasibility.Report Sample includes:- Table of Contents- List of Tables & Figures- Charts- Research MethodologyGet FREE Sample of this Report at https://www.24marketreports.com/report-sample/global-data-discovery-software-2019-2024-96There are 3 key segments covered in this report: competitor segment, product type segment, end use/application segment.For competitor segment, the report includes global key players of Data Discovery Software as well as some small players.
At least 10 companies are included:TARGITTIBCO SoftwareOracleCA TechnologiesGround LabsControlCaseThe information for each competitor includes:Company ProfileMain Business InformationSWOT AnalysisSales, Revenue, Price and Gross MarginMarket ShareFor product type segment, this report listed main product type of Data Discovery Software market in gloabal and china.Web-BasedInstalledFor end use/application segment, this report focuses on the status and outlook for key applications.
End users sre also listed.SMEsLarge OrganizationReasons to Purchase this Report:Estimates 2019–2024 Data Discovery Software market development trends with the recent trends and SWOT analysisMarket dynamics scenario, along with growth opportunities of the market in the years to comeMarket segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspectsRegional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.Market value (USD Million) and volume (Units Million) data for each segment and sub-segmentCompetitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five yearsComprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players1-year analyst support, along with the data support in excel format.Any special requirements about this report, please let us know and we can provide custom report.Get the Complete Report & TOC at https://www.24marketreports.com/ict-and-media/global-data-discovery-software-2019-2024-96CONTACT US:276 5th Avenue, New York , NY 10001,United StatesInternational: (+1) 646 781 7170Email: [email protected] Us On linkedin :- https://www.linkedin.com/company/24-market-reports
Data, if leveraged wisely, can help you unlock insights that can assist you in making informed business decisions.
Let’s look at the different processes involved in the overall data lifecycle, right from the collection and preparation to processing and interpretation.Data IngestionIngesting data from diverse sources to a single storage medium where it may be accessed, used, and analyzed by an organization is known as data ingestion.
You can ingest data from complex sources like SAP Business API services (BAPI), Double Click Manager (DCM), etc.
DataBlaze Software, a Data Integration tool offers significant value to its users through its key features including knowledge graph, automated metadata mapper, machine learning pipeline, augmented data discovery, strategy processor, and dataset for visualization.Data AugmentationData augmentation refers to strategies for increasing the quantity of data by adding slightly changed copies of current data or creating new synthetic data from existing data.
AutoML and Google AutoAugment can also be used for determining which augmentations will work best for the dataset at hand.
Data DiscoveryData discovery is the process of gathering and analyzing data from multiple sources to identify trends and patterns in the data.
