Published Date：Mar.2021
Industry：Chemical & Material
Pages：123 Table Number：142
Single User Price：￥3650.00
Enterprise User Price：￥5600.00
Summary As the world continues to deal with COVID-19, economies are moving into recession, under multiple adverse factors, the GDP of European and American countries in the second quarter suffered a historical contraction. At an annualized rate, the US GDP fell by 32.9% month on month, while the overall GDP of the euro zone fell by 12.1%. Moreover, the economic prospects of Europe and the United States in the third quarter under the epidemic situation are hardly optimistic. The resumption of work and production not only brought economic data back, but also triggered a rebound in the epidemic situation. At present, the United States is still the 'epicenter' of the global epidemic. The total number of confirmed cases has exceeded 4.8 million, and the epidemic situation in some European countries has also rebounded. Affected by this, more than 20 states in the United States have announced the suspension or withdrawal of part of the economic restart plan. Britain and Italy have also decided to extend the state of emergency. The rebound of the epidemic situation has posed considerable risks to the economic prospects of Europe and the United States. In the second quarter of this year, US GDP shrank by 9.5% on a month on month basis, or 32.9% at an annual rate, the largest decline since the 1940s. Data show that the sharp decline in personal consumption is the main drag on the U.S. GDP growth in the second quarter. Compared with the United States, Europe's economic contraction in the second quarter was smaller, but it was also the lowest on record, with Germany and France contracting more than 10%. According to the data released by the Federal Bureau of statistics, Germany's GDP fell by 10.1% in the second quarter after adjusting for prices, seasons and working days, the largest decline since the quarterly economic data were available in 1970. Thanks to the effective control and policy support of the new epidemic, China's economy rebounded sharply in the second quarter. The growth rate of manufacturing industry, which accounted for about 28% of GDP, rebounded sharply to 4.4% from the negative value in the first quarter. Chinese original equipment manufacturers (OEMs) and suppliers are ramping up production. And there are increased investments in digital footprints in manufacturing. OEMs in other parts of the world are offering incentives to drive sales. XYZResearch published a report for global Data De-identification or Pseudonymity Software market in this environment. In terms of revenue, this research report indicated that the global Data De-identification or Pseudonymity Software market was valued at USD XXX million in 2019, and it is expected to reach a value of USD XXX million by 2026, at a CAGR of XX % over the forecast period 2021-2026. Correspondingly, the forecast analysis of Data De-identification or Pseudonymity Software industry comprises of China, USA, Japan, India, Korea and South America, with the production and revenue data in each of the sub-segments. The IBM aims at producing XX Data De-identification or Pseudonymity Software in 2020, with XX % production to take place in global market, Thales Group accounts for a volume share of XX %. Regional Segmentation (Value; Revenue, USD Million, 2015 - 2026) of Data De-identification or Pseudonymity Software Market by XYZResearch Include China EU USA Japan India Southeast Asia South America Competitive Analysis; Who are the Major Players in Data De-identification or Pseudonymity Software Market? IBM Thales Group TokenEx KI DESIGN Anonos Aircloak AvePoint Very Good Security Dataguise SecuPi Ekobit Privitar StratoKey ARCAD Software MENTISoftware Semele Imperva ContextSpace Truata Informatica Privacy Analytics Protegrity Wizuda ... Major Type of Data De-identification or Pseudonymity Software Covered in XYZResearch report: Cloud-Based On-Premises Application Segments Covered in XYZResearch Market Individual Enterprise Others For any other requirements, please feel free to contact us and we will provide you customized report.
Table of Contents Global Data De-identification or Pseudonymity Software Market Analysis 2020, With Top Companies, Production, Revenue, Consumption, Price and Growth Rate 1 Market Scope 1.1 Product Details and Introduction 1.1.1 Cloud-Based -Product Introduction and Major Manufacturers 1.1.2 On-Premises -Product Introduction and Major Manufacturers 1.2 Market Snapshot 1.2.1 Major Companies Overview 1.2.2 Market Concentration 1.2.3 Six-Year Compound Annual Growth Rate (CAGR) 2 Global Data De-identification or Pseudonymity Software Market Assessment, by Segmentation 2.1 Type Breakdown Estimates & Forecast, Sales Volume (2015-2026) 2.2 Type Breakdown Estimates & Forecast, Sales Value (2015-2026) 2.3 Application Breakdown Estimates & Forecast, by Application (2015-2026) 3 Regional Market Analysis 3.1 China Data De-identification or Pseudonymity Software Market 3.1.1 Top Companies leading Data De-identification or Pseudonymity Software Development in China (2015-2020) 3.1.2 Sales Value of Major Company in China Market (2015-2020) 3.1.3 China Data De-identification or Pseudonymity Software Price (USD/Unit), by Type (2019-2020) 3.1.4 Sales in China Market, by Type (2015-2026) 3.2 EU Data De-identification or Pseudonymity Software Market 3.2.1 Top Companies leading Data De-identification or Pseudonymity Software Development in EU (2015-2020) 3.2.2 Sales Value of Major Company in EU Market (2015-2020) 3.2.3 EU Data De-identification or Pseudonymity Software Price (USD/Unit), by Type (2019-2020) 3.2.4 Sales in EU Market, by Type (2015-2026) 3.3 USA Data De-identification or Pseudonymity Software Market 3.3.1 Top Companies leading Data De-identification or Pseudonymity Software Development in USA (2015-2020) 3.3.2 Sales Value of Major Company in USA Market (2015-2020) 3.3.3 USA Data De-identification or Pseudonymity Software Price (USD/Unit), by Type (2019-2020) 3.3.4 Sales in USA Market, by Type (2015-2026) 3.4 Japan Data De-identification or Pseudonymity Software Market 3.4.1 Top Companies leading Data De-identification or Pseudonymity Software Development in Japan (2015-2020) 3.4.2 Sales Value of Major Company in Japan Market (2015-2020) 3.4.3 Japan Data De-identification or Pseudonymity Software Price (USD/Unit), by Type (2019-2020) 3.4.4 Sales in Japan Market, by Type (2015-2026) 3.5 India Data De-identification or Pseudonymity Software Market 3.5.1 Top Companies leading Data De-identification or Pseudonymity Software Development in India (2015-2020) 3.5.2 Sales Value of Major Company in India Market (2015-2020) 3.5.3 India Data De-identification or Pseudonymity Software Price (USD/Unit), by Type (2019-2020) 3.5.4 Sales in India Market, by Type (2015-2026) 3.6 Southeast Asia Data De-identification or Pseudonymity Software Market 3.6.1 Top Companies leading Data De-identification or Pseudonymity Software Development in Southeast Asia (2015-2020) 3.6.2 Sales Value of Major Company in Southeast Asia Market (2015-2020) 3.6.3 Southeast Asia Data De-identification or Pseudonymity Software Price (USD/Unit), by Type (2019-2020) 3.6.4 Sales in Southeast Asia Market, by Type (2015-2026) 3.7 South America Data De-identification or Pseudonymity Software Market 3.7.1 Top Companies leading Data De-identification or Pseudonymity Software Development in South America (2015-2020) 3.7.2 Sales Value of Major Company in South America Market (2015-2020) 3.7.3 South America Data De-identification or Pseudonymity Software Price (USD/Unit), by Type (2019-2020) 3.7.4 Sales in South America Market, by Type (2015-2026) 4 Value Chain (Impact of COVID-19) 4.1 Data De-identification or Pseudonymity Software Value Chain Analysis 4.1.1 Upstream 4.1.2 Downstream 4.2 COVID-19 Impact on Data De-identification or Pseudonymity Software Industry 4.2.1 Industrial Policy Issued Under the Epidemic Situation 4.3 Cost-Under the Epidemic Situation 4.3.1 Cost of Raw Material 4.4 Channel Analysis 4.4.1 Distribution Channel-Under the Epidemic Situation 4.4.2 Distributors 5 Regional Market Forecast (2021-2026) 5.1 Global Data De-identification or Pseudonymity Software Sales and Growth Rate (2021-2026) 5.2 Global Data De-identification or Pseudonymity Software Sales Value and Growth Rate (2021-2026) 6 Data De-identification or Pseudonymity Software Competitive Analysis 6.1 IBM 6.1.1 IBM Company Profiles 6.1.2 IBM Product Introduction 6.1.3 IBM Data De-identification or Pseudonymity Software Production, Revenue (2015-2020) 6.1.4 SWOT Analysis 6.2 Thales Group 6.2.1 Thales Group Company Profiles 6.2.2 Thales Group Product Introduction 6.2.3 Thales Group Data De-identification or Pseudonymity Software Production, Revenue (2015-2020) 6.2.4 SWOT Analysis 6.3 TokenEx 6.3.1 TokenEx Company Profiles 6.3.2 TokenEx Product Introduction 6.3.3 TokenEx Data De-identification or Pseudonymity Software Production, Revenue (2015-2020) 6.3.4 SWOT Analysis 6.4 KI DESIGN 6.4.1 KI DESIGN Company Profiles 6.4.2 KI DESIGN Product Introduction 6.4.3 KI DESIGN Data De-identification or Pseudonymity Software Production, Revenue (2015-2020) 6.4.4 SWOT Analysis 6.5 Anonos 6.5.1 Anonos Company Profiles 6.5.2 Anonos Product Introduction 6.5.3 Anonos Data De-identification or Pseudonymity Software Production, Revenue (2015-2020) 6.5.4 SWOT Analysis 6.6 Aircloak 6.6.1 Aircloak Company Profiles 6.6.2 Aircloak Product Introduction 6.6.3 Aircloak Data De-identification or Pseudonymity Software Production, Revenue (2015-2020) 6.6.4 SWOT Analysis 6.7 AvePoint 6.7.1 AvePoint Company Profiles 6.7.2 AvePoint Product Introduction 6.7.3 AvePoint Data De-identification or Pseudonymity Software Production, Revenue (2015-2020) 6.7.4 SWOT Analysis 6.8 Very Good Security 6.8.1 Very Good Security Company Profiles 6.8.2 Very Good Security Product Introduction 6.8.3 Very Good Security Data De-identification or Pseudonymity Software Production, Revenue (2015-2020) 6.8.4 SWOT Analysis 6.9 Dataguise 6.9.1 Dataguise Company Profiles 6.9.2 Dataguise Product Introduction 6.9.3 Dataguise Data De-identification or Pseudonymity Software Production, Revenue (2015-2020) 6.9.4 SWOT Analysis 6.10 SecuPi 6.10.1 SecuPi Company Profiles 6.10.2 SecuPi Product Introduction 6.10.3 SecuPi Data De-identification or Pseudonymity Software Production, Revenue (2015-2020) 6.10.4 SWOT Analysis 6.11 Ekobit 6.12 Privitar 6.13 StratoKey 6.14 ARCAD Software 6.15 MENTISoftware 6.16 Semele 6.17 Imperva 6.18 ContextSpace 6.19 Truata 6.20 Informatica 6.21 Privacy Analytics 6.22 Protegrity 6.23 Wizuda 7 Conclusion
List of Tables and Figures Figure Product Introduction Table Production (K Units) and Revenue (Million USD) of Major Players (2015-2020) Figure Global Data De-identification or Pseudonymity Software Production Market Share of Top 5 Players Table CAGR of Major Market (2021-2026) Table CAGR in Terms of Production of Each Type (2015-2026) Table CAGR in Terms of Production of Each Application (2015-2026) Table Global Data De-identification or Pseudonymity Software Sales (K Unit) by Type (2015-2026) Figure Global Data De-identification or Pseudonymity Software Sales (K Unit) and Growth Rate (2015-2026) Figure Global Data De-identification or Pseudonymity Software Sales Market Share (%) by Type (2019 -2020) Table Global Data De-identification or Pseudonymity Software Sales Value (Million USD) by Type (2015-2026) Figure Global Data De-identification or Pseudonymity Software Sales Value (Million USD) and Growth Rate (2015-2026) Figure Global Data De-identification or Pseudonymity Software Sales Value Market Share (%) by Type (2019-2020) Table Global Data De-identification or Pseudonymity Software Sales (K Unit) by Application (2015-2026) Table China Data De-identification or Pseudonymity Software Sales (K Unit) of Major Company (2015-2020) Table China Data De-identification or Pseudonymity Software Sales Market Share of Major Company (2015-2020) Table China Data De-identification or Pseudonymity Software Sales Value (Million USD) of Major Company (2015-2020) Figure China Data De-identification or Pseudonymity Software Sales Value (Million USD) and Growth Rate (2015-2020) Table China Data De-identification or Pseudonymity Software Sales Value Share of Major Company (2015-2020) Table China Data De-identification or Pseudonymity Software Price (USD/Unit), by Type (2019-2020) Table China Data De-identification or Pseudonymity Software Sales (Unit) by Type (2015-2026) Figure China Data De-identification or Pseudonymity Software Sales (Unit) by Type (2015-2026) Table EU Data De-identification or Pseudonymity Software Sales (K Unit) of Major Company (2015-2020) Table EU Data De-identification or Pseudonymity Software Sales Market Share of Major Company (2015-2020) Table EU Data De-identification or Pseudonymity Software Sales Value (Million USD) of Major Company (2015-2020) Figure EU Data De-identification or Pseudonymity Software Sales Value (Million USD) and Growth Rate (2015-2020) Table EU Data De-identification or Pseudonymity Software Sales Value Share of Major Company (2015-2020) Table EU Data De-identification or Pseudonymity Software Price (USD/Unit), by Type (2019-2020) Table EU Data De-identification or Pseudonymity Software Sales (Unit) by Type (2015-2026) Figure EU Data De-identification or Pseudonymity Software Sales (Unit) by Type (2015-2026) Table USA Data De-identification or Pseudonymity Software Sales (K Unit) of Major Company (2015-2020) Table USA Data De-identification or Pseudonymity Software Sales Market Share of Major Company (2015-2020) Table USA Data De-identification or Pseudonymity Software Sales Value (Million USD) of Major Company (2015-2020) Figure USA Data De-identification or Pseudonymity Software Sales Value (Million USD) and Growth Rate (2015-2020) Table USA Data De-identification or Pseudonymity Software Sales Value Share of Major Company (2015-2020) Table USA Data De-identification or Pseudonymity Software Price (USD/Unit), by Type (2019-2020) Table USA Data De-identification or Pseudonymity Software Sales (Unit) by Type (2015-2026) Figure USA Data De-identification or Pseudonymity Software Sales (Unit) by Type (2015-2026) Table Japan Data De-identification or Pseudonymity Software Sales (K Unit) of Major Company (2015-2020) Table Japan Data De-identification or Pseudonymity Software Sales Market Share of Major Company (2015-2020) Table Japan Data De-identification or Pseudonymity Software Sales Value (Million USD) of Major Company (2015-2020) Figure Japan Data De-identification or Pseudonymity Software Sales Value (Million USD) and Growth Rate (2015-2020) Table Japan Data De-identification or Pseudonymity Software Sales Value Share of Major Company (2015-2020) Table Japan Data De-identification or Pseudonymity Software Price (USD/Unit), by Type (2019-2020) Table Japan Data De-identification or Pseudonymity Software Sales (Unit) by Type (2015-2026) Figure Japan Data De-identification or Pseudonymity Software Sales (Unit) by Type (2015-2026) Table India Data De-identification or Pseudonymity Software Sales (K Unit) of Major Company (2015-2020) Table India Data De-identification or Pseudonymity Software Sales Market Share of Major Company (2015-2020) Table India Data De-identification or Pseudonymity Software Sales Value (Million USD) of Major Company (2015-2020) Figure India Data De-identification or Pseudonymity Software Sales Value (Million USD) and Growth Rate (2015-2020) Table India Data De-identification or Pseudonymity Software Sales Value Share of Major Company (2015-2020) Table India Data De-identification or Pseudonymity Software Price (USD/Unit), by Type (2019-2020) Table India Data De-identification or Pseudonymity Software Sales (Unit) by Type (2015-2026) Figure India Data De-identification or Pseudonymity Software Sales (Unit) by Type (2015-2026) Table Southeast Asia Data De-identification or Pseudonymity Software Sales (K Unit) of Major Company (2015-2020) Table Southeast Asia Data De-identification or Pseudonymity Software Sales Market Share of Major Company (2015-2020) Table Southeast Asia Data De-identification or Pseudonymity Software Sales Value (Million USD) of Major Company (2015-2020) Figure Southeast Asia Data De-identification or Pseudonymity Software Sales Value (Million USD) and Growth Rate (2015-2020) Table Southeast Asia Data De-identification or Pseudonymity Software Sales Value Share of Major Company (2015-2020) Table Southeast Asia Data De-identification or Pseudonymity Software Price (USD/Unit), by Type (2019-2020) Table Southeast Asia Data De-identification or Pseudonymity Software Sales (Unit) by Type (2015-2026) Figure Southeast Asia Data De-identification or Pseudonymity Software Sales (Unit) by Type (2015-2026) Table South America Data De-identification or Pseudonymity Software Sales (K Unit) of Major Company (2015-2020) Table South America Data De-identification or Pseudonymity Software Sales Market Share of Major Company (2015-2020) Table South America Data De-identification or Pseudonymity Software Sales Value (Million USD) of Major Company (2015-2020) Figure South America Data De-identification or Pseudonymity Software Sales Value (Million USD) and Growth Rate (2015-2020) Table South America Data De-identification or Pseudonymity Software Sales Value Share of Major Company (2015-2020) Table South America Data De-identification or Pseudonymity Software Price (USD/Unit), by Type (2019-2020) Table South America Data De-identification or Pseudonymity Software Sales (Unit) by Type (2015-2026) Figure South America Data De-identification or Pseudonymity Software Sales (Unit) by Type (2015-2026) Figure Value Chain Structure of Data De-identification or Pseudonymity Software Table Value Chain Table Key Suppliers of Raw Material/Components Table Key Downstream Customer in Each Application Field Table Industry News List of Data De-identification or Pseudonymity Software Figure Cost Structure of Data De-identification or Pseudonymity Software in 2020 Table Distributors/Traders List Table Regional Market Sales (K Unit) (2021-2026) Table Regional Market Sales Share (2021-2026) Figure Global Data De-identification or Pseudonymity Software Sales (Unit), Growth Rate & Market Share (2021-2026) Table Regional Market Sales Value (Million USD) (2021-2026) Table Regional Market Sales Value Share (2021-2026) Figure Global Data De-identification or Pseudonymity Software Sales Value (Million USD), Growth Rate & Market Share (2021-2026) Table IBM Profiles Table IBM Data De-identification or Pseudonymity Software Product Introduction Table IBM Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure IBM SWOT Analysis Table Thales Group Profiles Table Thales Group Data De-identification or Pseudonymity Software Product Introduction Table Thales Group Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure Thales Group SWOT Analysis Table TokenEx Profiles Table TokenEx Data De-identification or Pseudonymity Software Product Introduction Table TokenEx Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure TokenEx SWOT Analysis Table KI DESIGN Profiles Table KI DESIGN Data De-identification or Pseudonymity Software Product Introduction Table KI DESIGN Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure KI DESIGN SWOT Analysis Table Anonos Profiles Table Anonos Data De-identification or Pseudonymity Software Product Introduction Table Anonos Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure Anonos SWOT Analysis Table Aircloak Profiles Table Aircloak Data De-identification or Pseudonymity Software Product Introduction Table Aircloak Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure Aircloak SWOT Analysis Table AvePoint Profiles Table AvePoint Data De-identification or Pseudonymity Software Product Introduction Table AvePoint Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure AvePoint SWOT Analysis Table Very Good Security Profiles Table Very Good Security Data De-identification or Pseudonymity Software Product Introduction Table Very Good Security Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure Very Good Security SWOT Analysis Table Dataguise Profiles Table Dataguise Data De-identification or Pseudonymity Software Product Introduction Table Dataguise Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure Dataguise SWOT Analysis Table SecuPi Profiles Table SecuPi Data De-identification or Pseudonymity Software Product Introduction Table SecuPi Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure SecuPi SWOT Analysis Table Ekobit Profiles Table Ekobit Data De-identification or Pseudonymity Software Product Introduction Table Ekobit Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure Ekobit SWOT Analysis Table Privitar Profiles Table Privitar Data De-identification or Pseudonymity Software Product Introduction Table Privitar Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure Privitar SWOT Analysis Table StratoKey Profiles Table StratoKey Data De-identification or Pseudonymity Software Product Introduction Table StratoKey Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure StratoKey SWOT Analysis Table ARCAD Software Profiles Table ARCAD Software Data De-identification or Pseudonymity Software Product Introduction Table ARCAD Software Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure ARCAD Software SWOT Analysis Table MENTISoftware Profiles Table MENTISoftware Data De-identification or Pseudonymity Software Product Introduction Table MENTISoftware Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure MENTISoftware SWOT Analysis Table Semele Profiles Table Semele Data De-identification or Pseudonymity Software Product Introduction Table Semele Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure Semele SWOT Analysis Table Imperva Profiles Table Imperva Data De-identification or Pseudonymity Software Product Introduction Table Imperva Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure Imperva SWOT Analysis Table ContextSpace Profiles Table ContextSpace Data De-identification or Pseudonymity Software Product Introduction Table ContextSpace Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure ContextSpace SWOT Analysis Table Truata Profiles Table Truata Data De-identification or Pseudonymity Software Product Introduction Table Truata Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure Truata SWOT Analysis Table Informatica Profiles Table Informatica Data De-identification or Pseudonymity Software Product Introduction Table Informatica Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure Informatica SWOT Analysis Table Privacy Analytics Profiles Table Privacy Analytics Data De-identification or Pseudonymity Software Product Introduction Table Privacy Analytics Data De-identification or Pseudonymity Software Sales (Unit), Sales Value (Million USD), Price (USD/Unit) and Gross Profit (2015-2020) Figure Privacy Analytics SWOT Analysis Table Protegrity Profiles
