Global Confidential Computing Market Analysis By Deployment Model (On –premises, Cloud-based, Hybrid), By End-User Industry (Banking and finance, Healthcare and Life Sciences, Retail and E-commerce, Manufacturing and Industrial, Other industries), By Solution Type (Confidential Virtual Machines, Confidential Containers, Data Protection, Application Development) & Forecast
- PUBLISHED ON
- 2024-10-03
- NO OF PAGES
- 268
- CATEGORY
- Information Communication & Technology
The Confidential Computing market had a valuation of USD 3.21 billion in 2022 and is projected to rich USD 59.4 billion by 2033, growing at a compound annual growth rate (CAGR) of 38.2% during the forecast period of 2023-2033. This market revolves around safeguarding data that is either in use or stored by utilizing a hardware-based Trusted Execution Environment (TEE)
Confidential computing is a technology in cloud computing that safeguards sensitive data by isolating it within a secure CPU enclave during processing. Only authorized programming code has access to the enclave, ensuring that the data and processing techniques remain hidden and inaccessible to any other entities, including the cloud provider.
As organizational leaders increasingly depend on public and hybrid cloud services, maintaining data privacy in the cloud becomes crucial. The main objective of confidential computing is to offer leaders a higher level of confidence in the protection and confidentiality of their cloud-stored data. This assurance aims to encourage leaders to migrate a larger portion of their sensitive data and computing workloads to public cloud services.
Certain Trusted Execution Environments offer the ability to program them with arbitrary code, while others have limited operations. This flexibility allows customization to meet specific security requirements for the infrastructure or system. Additionally, some TEEs may include fixed codes that are established during production. By utilizing a Trusted Execution Environment, not only is data protected, but the code itself is also safeguarded against unauthorized entities. This enhanced protection applies to algorithms and sensitive intellectual property, providing sophisticated security.
Report Scope:
Report Attributes | Description |
Market forecast in 2022 | USD 3.21 billion |
Market forecast in 2033 | USD 59.4 billion |
CAGR% 2023-2033 | 38.2 % |
Base year | 2022 |
Historic data | 2020-2021 |
Forecast period | 2023-2033 |
Report USP | Product, End User, company share, company heat map, company capacity, technology, product capacity, growth factors and more |
Key Companies
| · Advanced Micro Devices, Inc; Applied Blockchain; Arm; Baidu; dq technologies AG; Edgeless Systems; Fortanix; Google Cloud; HUB Security; IBM; Intel Corporation; Microsoft; Red Hat; Others |
Global Confidential Computing Market: KeyTrends
• The Rise of Confidential AI and Analytics: Organizations are rapidly recognizing that confidential computing offers valuable use cases, particularly in the realm of multi-party collaborative analytics and AI. With the emergence of multi-party confidential AI and analytics platforms, confidential data can be effectively utilized by enabling secure and scalable analytics and machine learning directly on encrypted data within enclaves.
• Faster adoption of trusted execution environments: In the current landscape, data is ubiquitous and experiencing exponential growth. To expedite their digital transformation endeavours and handle the increasing amount of cloud-based data, nearly all organizations are embracing cloud technologies. However, as the volume of data in the cloud expands, relying solely on cloud infrastructure is inadequate for ensuring the security and protection of sensitive information.
Global Confidential Computing Market: Regional analysis
North America:
There has been a growing emphasis on confidential computing, driven by concerns over data breaches and the need to comply with strict privacy regulations. Major technology companies and research institutions in the United States and Canada are actively working on developing secure computing environments that enable analytics and machine learning on encrypted data.
Europe:
Data privacy regulations such as the General Data Protection Regulation (GDPR) have propelled the interest in confidential computing. European countries, including Germany and France, have been at the forefront of promoting secure data processing and have invested in research initiatives to advance confidential computing technologies.
Asia:
Particularly countries like Singapore, Japan, and South Korea, has also shown significant interest in confidential computing. These countries recognize the importance of protecting sensitive data, especially in sectors such as finance, healthcare, and government. Efforts are underway to develop secure computing infrastructures and promote collaboration between industry and academia to drive advancements in confidential computing.
Global Confidential Computing Market: Segmentation
Deployment Model:
a. On –premises
b. Cloud-based
c. Hybrid
End-User Industry:
a. Banking and finance
b. Healthcare and Life Sciences
c. Retail and E-commerce
d. Manufacturing and Industrial
e. Other industries
Solution Type
a. Confidential Virtual Machines
b. Confidential Containers
c. Data Protection
d. Application Development
Global Confidential Computing Market: Recent Developments
• On March 15, 2021 Intel Software Guard Extensions (SGX) and AMD Secure Encrypted Virtualization (SEV) are hardware-based technologies that enable secure enclaves for confidential computing. Both Intel and AMD have made advancements in their respective technologies, improving security, performance, and scalability. These enhancements have contributed to the wider adoption of confidential computing solutions.
• Major cloud providers, including Microsoft Azure, Google Cloud, and IBM Cloud, have introduced confidential computing services to their offerings. These services leverage hardware-based security technologies, such as Intel SGX, to enable customers to securely process and store sensitive data in the cloud, protecting it from unauthorized access, even by the cloud provider itself.
Global Confidential Computing Market: Impact of covid-19
Increased Demand for Secure Data Processing: With the shift to remote work and increased reliance on digital technologies, organizations have become more aware of the need to protect sensitive data. The pandemic has accelerated the adoption of confidential computing solutions as businesses seek to secure their data from potential threats.
Heightened Data Privacy Concerns: The pandemic has brought data privacy concerns to the forefront, especially in sectors like healthcare, finance, and government. Confidential computing offers a way to securely process sensitive data while maintaining privacy, addressing the heightened concerns surrounding the handling of personal health information and other confidential data during the pandemic.
Collaboration and Innovation: The pandemic has prompted collaboration between industry players, academia, and research institutions to develop and enhance confidential computing technologies. There has been an increased investment in research and development to address the evolving security challenges posed by the pandemic.
Overall, the COVID-19 pandemic has accelerated the adoption and innovation of confidential computing solutions. The increased awareness of data privacy, cyber security threats, and regulatory compliance has fueled the demand for secure data processing and storage, driving the growth of the confidential computing market.
Global Confidential Computing Market: Company Profiles
• Advanced Micro Devices, Inc
• Applied Blockchain
• Arm
• Baidu
• dq technologies AG
• Edgeless Systems
• Fortanix
• Google Cloud
• HUB Security
• IBM
• Intel Corporation
• Microsoft
• Red Hat
• Others
Global Confidential Computing Market: Regional Scope
North America
• U.S
• Canada
• Mexico
Europe
• U.K
• Germany
• France
• Italy
• Spain
• Rest of Europe
Asia Pacific
• Chain
• India
• Japan
• South Korea
• Australia
• Rest of Asia pacific
South America
• Brazil
• Argentina
• Rest of south America
Middle East and Africa
• Saudi Arabia
• UAE
• Egypt
• South Africa
• Rest of Middle East and Africa
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