The Homomorphic Encryption market report intends to provide cutting-edge market intelligence and help decision makers take sound investment evaluations. Besides, the report also identifies and analyses the emerging trends along with major drivers, and challenges in the global Homomorphic Encryption market. This study focuses on the latest events such as first-hand information, qualitative and quantitative assessment, and their consequences on the Market. Moreover, this report has also covered global and regional market size and share of the online and offline distribution channels. Report analyses the post-COVID-19 (Corona Virus) impact on the product industry chain based on the upstream and downstream markets, on various regions and major countries, and on the future development of the industry are pointed out.
According to this study, over the next five years the Homomorphic Encryption market will register a 8.4%% CAGR in terms of revenue, the global market size will reach $ 175.8 million by 2025, from $ 127.5 million in 2019.
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Top Leading Companies of Global Homomorphic Encryption Market are Microsoft, IBM Corporation, CryptoExperts, Enveil, Galois, Duality Technologies, ShieldIO, and others.
Some of the recent developments in the market are as follows:
IBM completes successful field trials on Fully Homomorphic Encryption
7/31/2020: Yesterday, Ars spoke with IBM Senior Research Scientist Flavio Bergamaschi about the company’s recent successful field trials of Fully Homomorphic Encryption. We suspect many of you will have the same questions that we did—beginning with “what is Fully Homomorphic Encryption?” FHE is a type of encryption that allows direct mathematical operations on the encrypted data. Upon decryption, the results will be correct. For example, you might encrypt 2, 3, and 7 and send the three encrypted values to a third party. If you then ask the third party to add the first and second values, then multiply the result by the third value and return the result to you, you can then decrypt that result—and get 35.
The most obvious implication of FHE is a solution to what I like to call “the sysadmin problem”—if you do your computation on a system managed by a third party, the root-privileged operators at the third party generally have access to the data. Encryption at rest prevents access to the data outside the scope of whatever computation is going on at that specific moment—but with root privileges, a system operator can scan or alter the contents of RAM to gain access to whatever data is currently being operated on.
With FHE, you can perform those calculations without the actual data ever being exposed to the remote system at all. Obviously, this solves the sysadmin problem pretty thoroughly—when the machine itself never has access to the decrypted data, neither do its operators.
IBM launches experimental homomorphic data encryption environment for the enterprise
December 17, 2020: IBM has launched a fully homomorphic encryption (FHE) test service for the enterprise in the first step to bringing in-transit encrypted data analysis into the commercial sector.
IBM said on Thursday that the new FHE solution, IBM Security Homomorphic Encryption Services, will allow clients to start experimenting with how the technology could be implemented to enhance the privacy of their existing IT architecture, products, and data.
FHE, considered by some as the “Holy Grail” of encryption, as it is a form of encryption that allows data to remain encrypted when being processed.
The concept behind FHE is to plug the gap between securely-encrypted data held in storage and the need to decrypt while this information is in use — a requirement in data processing or analysis — which can create protection issues.
On The Basis Of Product, the Homomorphic Encryption Market Is Primarily Split Into
On The Basis Of End Users/Application, This Report Covers
Financial & Insurance
Regional Outlook of Homomorphic Encryption Market report includes the following geographic areas such as North America, Europe, China, Japan, Southeast Asia, India, and ROW.
This study especially analyses the impact of the Covid-19 outbreak on the Homomorphic Encryption market, covering the impact assessment to the Homomorphic Encryption market size growth rate in several scenarios, and the measures to be undertaken by Homomorphic Encryption market players in response to the COVID-19 epidemic.
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This allows an understanding of the market and benefits from any lucrative opportunities that are available. There is a detailed analysis of the change in customer requirements, customer preferences, and the vendor landscape of the overall market.
Key Points of Homomorphic Encryption Market Table of Contents:
-Market Overview: The report begins with this section where a product overview and key content on the product and application segments of the global Halal Foods market are provided. The highlights of the segmentation study include price, revenue, sales, sales growth rate, and market share by product.
-Competition by company: Here we analyze the competition of the global Homomorphic Encryption market, by company price, revenue, sales and market share, market share, competitive landscape, and latest trends, mergers, expansions, acquisitions, and market share of top companies.
-Company Profile and Sales Data: As the name suggests, this section provides sales data and useful information about the business of key players in the global Homomorphic Encryption market. It describes the key businesses of gross margin, price, revenue, products and specifications, types, applications, competitors, manufacturing base, and key players operating in the global Homomorphic Encryption market.
–Market Forecast: Here the report provides a full forecast for the global Homomorphic Encryption market by product, application, and region. It also provides global sales and revenue forecasts for all years in the forecast period.
-Research Results and Conclusion: One of the last sections of the report where analyst findings and findings are provided.
Customization of the Report: This report can be customized as per your needs for additional data up to 3 companies or countries or 40 analyst hours.
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