시장보고서
상품코드
1309679

세계의 컨피덴셜 컴퓨팅 시장 규모, 점유율, 산업 동향 분석 보고서 : 컴포넌트별, 용도별, 배포 모드별, 산업별, 지역별 전망 및 예측(2023-2030년)

Global Confidential Computing Market Size, Share & Industry Trends Analysis Report By Component (Software, Hardware, and Services), By Application, By Deployment Mode (Cloud and On-premise), By Vertical, By Regional Outlook and Forecast, 2023 - 2030

발행일: | 리서치사: KBV Research | 페이지 정보: 영문 296 Pages | 배송안내 : 즉시배송


※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

컨피덴셜 컴퓨팅(Confidential Computing) 시장 규모는 2030년까지 1,319억 달러에 달할 것으로 예측되며, 예측 기간 중 CAGR은 57.2%의 성장률로 상승할 전망입니다.

KBV 카디널 매트릭스에 표시된 분석에 따르면 Microsoft Corporation과 Google LLC는 이 시장의 선구자입니다. 2023년 5월, Microsoft는 데이터 클린룸 소프트웨어인 Habu와 제휴했습니다. 이 제휴를 통해 회사는 데이터 클린 룸 용도을 Azure Confidencial Computing과 통합하고 기업은 보안, 개인 정보 보호 및 성능을 희생하지 않고보다 안전한 환경을 제공하며 기밀 데이터로부터 통찰력을 제공합니다. 꺼낼 수 있게 됩니다. Intel Corporation, Alibaba Cloud, IBM Corporation 등의 기업이 이 시장의 주요 혁신 기업입니다.

시장 성장 요인

규제 기준 준수 요구 사항 강화

기업은 일반 데이터 보호 규칙(GDPR) 및 캘리포니아 주 소비자 개인정보 보호법(CCPA)과 같은 데이터 프라이버시를 관리하는 법에 따라 소비자 데이터를 보호해야 합니다. 컨피덴셜 컴퓨팅은 안전하고 개인적인 처리 환경을 제공하고 기업이 이러한 규칙을 준수하도록 지원합니다. 예를 들어, GDPR은 사기 또는 불법 처리로부터의 보호를 포함하여 데이터의 적절한 보안을 보장하는 방식으로 개인 데이터를 처리할 것을 의무화합니다. 조직은 데이터 처리를 안전하고 비공개로 만드는 컨피덴셜 컴퓨팅을 사용하여 이 기준을 달성할 수 있습니다. 이것이 시장 확대에 박차를 가할 것으로 예상됩니다.

컨피던셜 AI 솔루션에 대한 요구 증가

인공지능(AI)의 이용이 증가함에 따라 AI 모델과 데이터의 프라이버시 보호를 지원하는 솔루션에 대한 수요가 증가하고 있습니다. Confidencial AI 솔루션은 confidence AI 데이터를 보호하기 위해 보안 엔클레이브 및 동형 암호화 기술을 사용합니다. 컨피던셜 AI는 AI 용도에서 기밀 데이터의 프라이버시와 기밀성을 보장하기 위한 기술 및 절차 모음입니다. 개인 식별 정보(PII) 및 기업 기밀 정보와 같은 기밀 데이터를 포함하는 대규모 데이터 세트는 AI 모델 학습에 자주 사용됩니다. 이것은 예측 기간 동안 시장 확대에 박차를 가할 것으로 예상됩니다.

시장 성장 억제요인

개인 컴퓨팅과 관련된 높은 비용

이러한 솔루션을 도입하고 유지하는 데 드는 높은 비용은 시장에서 심각한 장애 중 하나입니다. 컨피던셜 컴퓨팅 기술의 도입은 하드웨어, 소프트웨어, 직원들에게 엄청난 투자를 요구할 수 있기 때문에 중소기업에게는 어려울 수 있습니다. 데이터 및 계산을 보호하고 개인 정보를 보호하기 위해 이러한 솔루션에는 보안 엔클레이브 및 전용 프로세서와 같은 특수 하드웨어가 필요할 수 있습니다. 이러한 하드웨어는 데이터센터와 같은 인프라에 추가 비용을 요구하며 구매 및 운영에 비용이 들 수 있습니다. 이러한 점이 시장의 성장을 방해하고 있습니다.

구성 요소 전망

구성 요소에 따라 시장은 하드웨어, 소프트웨어 및 서비스로 나뉩니다. 2022년에는 소프트웨어 부문이 시장에서 가장 높은 판매 점유율을 기록했습니다. 이 소프트웨어는 엔클레이브와 관련된 메모리 영역을 생성, 관리 및 암호화하는 수단을 제공하기 때문에 메모리 리소스를 안전한 엔클레이브 내에 유지하고, 격리 및 데이터 보호를 실현하고, 불필요한 액세스 및 조작을 방지 합니다. 또한 소프트웨어 요소는 신뢰할 수 있는 실행이 가능한 컨텍스트에서 안전한 입출력 절차를 가능하게 합니다.

배포 모드 전망

배포 모드별로 볼 때 시장은 온프레미스와 클라우드로 구분됩니다. 2022년 시장에서는 클라우드 부문이 가장 높은 매출을 기록했습니다. 이는 클라우드 컴퓨팅이 다양한 유형의 데이터를 원격 위치의 서버에 저장하고 다른 사람이 처리할 수 있으며 인터넷 연결을 통해 액세스할 수 있기 때문입니다. 또한 '기밀성'이란 정보를 무단 액세스로부터 보호하고 그 이용을 허가된 개인으로 제한하는 것을 말합니다.

용도 전망

용도별로 시장은 데이터 보안, 보안 엔클레이브, 사용자 간 투명성 및 기타 용도으로 세분화됩니다. 2022년에는 안전한 비행지 분야가 시장에서 눈에 띄는 수익 점유율을 기록했습니다. 보안 엔클레이브는 하드웨어 기반 메커니즘을 사용하여 프로세서에 신뢰할 수 있는 TEE를 작성합니다. 보안 엔클레이브는 섬세한 계산과 데이터를 높은 보안과 무결성으로 실행할 수 있는 안전하고 안전한 환경을 제공합니다. 보안 엔클레이브는 엔클레이브와 시스템의 다른 부분 사이에 경계를 두고 동일한 하드웨어 및 운영 체제를 사용하는 다른 프로그램에서 차단합니다.

산업별 전망

산업별로는 BFSI, 정부 및 방위, 헬스케어 및 생명과학, IT 및 통신, 제조, 소매 및 소비재, 교육 등으로 구분됩니다. 2022년 시장에서는 건강 관리 분야가 큰 수익 점유율을 획득했습니다. 헬스케어 전문가는 데이터를 공유해야 하지만, 질병이나 DNA를 알 수 있는 잘못된 상대와 공유하면 대참사로 이어질 수 있습니다. 컨피덴셜 컴퓨팅은 헬스케어 직원이 데이터를 사용하는 동안 데이터를 보호함으로써 솔루션을 제공할 수 있습니다. 컨피덴셜 컴퓨팅을 사용하면 이전에는 너무 위험한 것으로 간주되었던 목적으로도 데이터를 사용할 수 있습니다.

지역별 전망

지역별로 볼 때 시장은 북미, 유럽, 아시아 태평양, LAMEA에서 분석됩니다. 북미는 2022년에 가장 큰 수익 점유율을 획득하여 시장을 독점했습니다. 뛰어난 IT 인프라, 많은 조직의 존재, 기술적 능력의 가용성 등 다양한 변수가 있기 때문에 컨피던셜 컴퓨팅의 구현이라는 점에서 가장 진보된 시장입니다. 또한 클라우드 제품 및 서비스의 보안 평가, 권한 부여 및 지속적인 모니터링을 위한 정의된 방법인 FedRAMP과 같은 법적 규정도 컨피던셜 컴퓨팅의 영향을 받습니다.

목차

제1장 시장 범위와 조사 방법

  • 시장의 정의
  • 목적
  • 시장 범위
  • 세분화
  • 조사 방법

제2장 시장 개요

  • 소개
    • 개요
      • 시장 구성 및 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 성장 촉진요인
    • 시장 성장 억제요인

제3장 경쟁 분석-전 세계

  • KBV 카디널 매트릭스
  • 최근 산업 전체의 전략적 전개
    • 파트너십, 협업 및 계약
    • 제품 출시 및 제품 확대
    • 인수와 합병
  • 시장 점유율 분석(2021년)
  • 주요 성공 전략
    • 주요 전략
    • 주요 전략적 움직임

제4장 세계의 컴피덴셜 컴퓨팅 시장 : 컴포넌트별

  • 세계의 소프트웨어 시장 : 지역별
  • 세계의 하드웨어 시장 : 지역별
  • 세계의 서비스 시장 : 지역별

제5장 세계의 컴피덴셜 컴퓨팅 시장 : 용도별

  • 세계의 데이터 보안 시장 : 지역별
  • 세계의 보안 엔클레이브 시장 : 지역별
  • 세계의 사용자 간 투명성 시장 : 지역별
  • 세계의 기타 시장 : 지역별

제6장 세계의 컨피덴셜 컴퓨팅 시장 : 배포 모드별

  • 세계의 클라우드 시장 : 지역별
  • 세계의 온프레미스 시장 : 지역별

제7장 세계의 컴피덴셜 컴퓨팅 시장 : 산업별

  • 세계의 BFSI 시장 : 지역별
  • 세계의 헬스케어 시장 : 지역별
  • 세계의 IT 및 텔레콤 시장 : 지역별
  • 세계의 정부 및 방위 시장 : 지역별
  • 세계의 제조업 시장 : 지역별
  • 세계의 소매 및 소비재 시장 : 지역별
  • 세계의 기타 시장 : 지역별

제8장 세계의 컨피덴셜 컴퓨팅 시장 : 지역별

  • 북미
    • 북미 시장 : 국가별
      • 미국
      • 캐나다
      • 멕시코
      • 기타 북미
  • 유럽
    • 유럽 시장 : 국가별
      • 독일
      • 영국
      • 프랑스
      • 러시아
      • 스페인
      • 이탈리아
      • 기타 유럽
  • 아시아 태평양
    • 아시아 태평양 시장 : 국가별
      • 중국
      • 일본
      • 인도
      • 한국
      • 싱가포르
      • 말레이시아
      • 기타 아시아 태평양
  • 남미·중동·아프리카
    • 남미·중동·아프리카 시장 : 국가별
      • 브라질
      • 아르헨티나
      • 아랍에미리트(UAE)
      • 사우디아라비아
      • 남아프리카
      • 나이지리아
      • 기타 남미·중동·아프리카

제9장 기업 개요

  • Swisscom Ltd
  • OVH Groupe SA
  • Arm Limited(SoftBank Group Corp)
  • Microsoft Corporation
  • IBM Corporation
  • Google LLC(Alphabet Inc)
  • Amazon Web Services, Inc(Amazon.com, Inc.)
  • Intel Corporation
  • Advanced Micro Devices, Inc
  • Alibaba Cloud(Alibaba Group Holding Limited)
LYJ 23.08.22

The Global Confidential Computing Market size is expected to reach $131.9 billion by 2030, rising at a market growth of 57.2% CAGR during the forecast period.

IT & Telecom sector is widely utilizing confidential computing as 5G is anticipated to provide game-changing developments which will be helpful for the adoption of edge computing technologies, therefore, IT & Telcom is expected to generate 1/5th share of the market by 2030. Since 99.9% of APIs are centrally located in one or two data centers, businesses must find methods to provide data streaming edge messaging solutions or build an edge network that allows dispersed access. 5G provides real-time communication and accelerates application connection with an edge messaging system. The desire for more advanced connection technologies, such as 5G and 6G, will keep driving edge computing's development and investment.

The major strategies followed by the market participants are Partnerships as the key developmental strategy in order to keep pace with the changing demands of end users. For instance, In May, 2022, Google Cloud teamed up with AMD to leverage 3rd Gen AMD EPYC processors to power its Confidential Computing portfolio to ensure VM's memory encryption doesn't interfere with workload performance. Additionally, In October, 2020, IBM joined hands with R3 to expand choices for its customers scaling blockchain technology while delivering their highest levels of performance, compliance, and data privacy by combining R3's enterprise blockchain platform, Corda Enterprise, with its LinuxONE.

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the Market. In May, 2023, Microsoft teamed up with Habu, a data clean room software. Through this collaboration, the company would integrate its Data Clean Room applications with Azure confidential computing, enabling organizations to achieve a more secure environment and unlock insights from sensitive data without sacrificing security, privacy, or performance. Companies such as Intel Corporation, Alibaba Cloud, IBM Corporation are some of the key innovators in the Market.

Market Growth Factors

The enhanced requirement to comply with regulatory standards

Businesses must safeguard their consumers' data in accordance with laws governing data privacy, like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Confidential computing offers a safe and private processing environment, which may assist enterprises in adhering to these rules. The GDPR, for instance, mandates that the processing of personal data take place in a way that guarantees the data's proper security, including protection against unauthorized or illegal processing. Organizations may achieve this criterion using confidential computing, which ensures data processing safely and privately. This is anticipated to fuel the expansion of the market.

Increasing need for confidential AI solutions

A rising demand exists for solutions that can aid in preserving the privacy of AI models and data as artificial intelligence (AI) use increases. Secure enclaves and homomorphic encryption techniques are used by confidential AI solutions to safeguard sensitive AI data. Confidential AI is a collection of technologies and procedures to ensure the privacy and confidentiality of sensitive data in AI applications. Large datasets containing sensitive data, such as personally identifiable information (PII) or confidential corporate information, are often used to train AI models. This is anticipated to fuel the expansion of the market over the course of the projected period.

Market Restraining Factors

High costs associated with private computing

The high cost of deploying and maintaining these solutions is one of the significant obstacles in the market. Adopting confidential computing technologies may be challenging for small and medium-sized enterprises since they sometimes demand significant investments in hardware, software, and employees. For the protection and privacy of data and computations, these solutions can need specialized hardware, such as secure enclaves or dedicated processors. This hardware may need extra expenditures in infrastructure, such as data centers, and may be costly to purchase and operate. These aspects are hindering the market growth.

Component Outlook

Based on component, the market is divided into hardware, software, and services. In 2022, the software segment registered the highest revenue share in the market. As it offers means to create, manage, and encrypt memory areas associated with enclaves, this software maintains memory resources inside secure enclaves to provide isolation and data protection, preventing unwanted access or manipulation. Additionally, software elements allow for safe input and output procedures in contexts where trusted execution is possible.

Deployment Mode Outlook

By deployment mode, the market is segmented into on-premise and cloud. The cloud segment held the highest revenue in the market in 2022. This is because cloud computing stores different types of data on distant servers that may be further handled by others and are accessible through an internet connection. Additionally, "confidential" refers to keeping information safe from illegal access and limiting its usage to authorized individuals.

Application Outlook

On the basis of application, the market is fragmented into data security, secure enclaves, pellucidity between users, and other applications. In 2022, the secure enclaves segment recorded a remarkable revenue share in the market. A secure enclave creates a trustworthy TEE within a processor using a hardware-based mechanism. It offers a safe, secure environment where delicate calculations and data may be conducted with high security and integrity. Secure enclaves provide a border between the enclave and the rest of the system, cutting it off from other programs using the same hardware and the underlying operating system.

Vertical Outlook

Based on the vertical, the market is segmented into BFSI, government & defense, healthcare & life sciences, IT & telecommunications, manufacturing, retail & consumer goods, education, and other verticals. The healthcare segment garnered a significant revenue share in the market in 2022. Healthcare professionals must share data, but doing so with the wrong people who may learn about illnesses or DNA might have catastrophic consequences. Confidential computing may provide a solution by securing data even while healthcare workers utilize it, which is crucial in this case for cybersecurity. Through the use of confidential computing, data may now be used for purposes that were previously thought to be too dangerous.

Regional Outlook

Region wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North American region dominated the market with the largest revenue share in 2022. It is the most advanced market in terms of implementing confidential computing owing to various variables, including excellent IT infrastructure, the presence of many organizations, and the availability of technical capabilities. Legal regulations such as FedRAMP, a defined method for security evaluation, authorization, and continuous monitoring for cloud goods and services, are also influenced by confidential computing.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Swisscom Ltd, OVH Groupe S.A, Arm Limited (SoftBank Group Corp.), Microsoft Corporation, IBM Corporation, Intel Corporation, Google LLC (Alphabet Inc.), Amazon Web Services, Inc. (Amazon.com, Inc.), Advanced Micro Devices, Inc. and Alibaba Cloud (Alibaba Group Holding Limited).

Recent Strategies Deployed in Confidential Computing Market

Partnerships, Collaboration and Agreements:

May-2023: Microsoft teamed up with Habu, a data clean room software. Through this collaboration, the company would integrate its Data Clean Room applications with Azure confidential computing, enabling organizations to achieve a more secure environment and unlock insights from sensitive data without sacrificing security, privacy, or performance.

May-2023: Intel entered into collaboration with SAP SE, an enterprise software and solutions developer. The collaboration aims to offer its 4th Gen Intel® Xeon® Scalable processors for SAP clients to provide them with advanced technologies for faster, more secure, integrated business processes.

Nov-2022: Microsoft entered into an agreement with Lockheed Martin, a global security and aerospace company, to offer next-generation technology to the Department of Defense (DOD). The agreement enables the company to provide its customers with solutions to face new threats and challenges.

May-2022: Google Cloud teamed up with AMD, a semiconductor company based in America. The collaboration is aimed to leverage 3rd Gen AMD EPYC processors to power its Confidential Computing portfolio to ensure VM's memory encryption doesn't interfere with workload performance.

Feb-2022: Google entered into a partnership with Thales, which designs, develops, and manufactures electrical systems. The partnership would enable the company to leverage Thales's CipherTrust Data Security Platform, to offer data security solutions to its customers for seamlessly encrypting and decrypting their sensitive and proprietary information.

Mar-2021: Microsoft formed a partnership with AMD, an American semiconductor company. With the help of MD EPYC CPU-backed confidential computing virtual machines (VMs), the company's Azure confidential computing would offer its customers to encrypt entire VMs confidentially and enable confidentiality without recompiling code.

Product Launch and Product Expansions:

Jan-2023: Intel revealed Intel Trust Domain Extension, a VM isolation solution. The new solution is designed to protect data stored within the VMs inside a trusted execution environment (TEE) that's isolated from the underlying hardware.

Acquisitions and Merger:

Feb-2022: IBM completed the acquisition of Neudesic, a leading U.S. cloud services consultancy. This acquisition aimed to expand IBM's portfolio of hybrid multi-cloud services and further improve the company's hybrid cloud as well as AI strategy.

Scope of the Study

Market Segments covered in the Report:

By Component

  • Software
  • Hardware
  • Services

By Application

  • Data Security
  • Secure Enclaves
  • Pellucidity Between Users
  • Others

By Deployment Mode

  • Cloud
  • On-premise

By Vertical

  • BFSI
  • Healthcare
  • IT & Telecom
  • Government & Defense
  • Manufacturing
  • Retail & Consumer Goods
  • Others

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
    • Rest of LAMEA

Companies Profiled

  • Swisscom Ltd
  • OVH Groupe S.A
  • Arm Limited (SoftBank Group Corp.)
  • Microsoft Corporation
  • IBM Corporation
  • Intel Corporation
  • Google LLC (Alphabet Inc.)
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Advanced Micro Devices, Inc.
  • Alibaba Cloud (Alibaba Group Holding Limited)

Unique Offerings from KBV Research

  • Exhaustive coverage
  • Highest number of market tables and figures
  • Subscription based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology

  • 1.1 Market Definition
  • 1.2 Objectives
  • 1.3 Market Scope
  • 1.4 Segmentation
    • 1.4.1 Global Confidential Computing Market, by Component
    • 1.4.2 Global Confidential Computing Market, by Application
    • 1.4.3 Global Confidential Computing Market, by Deployment Mode
    • 1.4.4 Global Confidential Computing Market, by Vertical
    • 1.4.5 Global Confidential Computing Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market Overview

  • 2.1 Introduction
    • 2.1.1 Overview
      • 2.1.1.1 Market Composition and Scenario
  • 2.2 Key Factors Impacting the Market
    • 2.2.1 Market Drivers
    • 2.2.2 Market Restraints

Chapter 3. Competition Analysis - Global

  • 3.1 KBV Cardinal Matrix
  • 3.2 Recent Industry Wide Strategic Developments
    • 3.2.1 Partnerships, Collaborations and Agreements
    • 3.2.2 Product Launches and Product Expansions
    • 3.2.3 Acquisition and Mergers
  • 3.3 Market Share Analysis, 2021
  • 3.4 Top Winning Strategies
    • 3.4.1 Key Leading Strategies: Percentage Distribution (2019-2023)
    • 3.4.2 Key Strategic Move: (Partnerships, Collaborations and Agreements: 2020, Oct - 2023, May) Leading Players

Chapter 4. Global Confidential Computing Market by Component

  • 4.1 Global Software Market by Region
  • 4.2 Global Hardware Market by Region
  • 4.3 Global Services Market by Region

Chapter 5. Global Confidential Computing Market by Application

  • 5.1 Global Data Security Market by Region
  • 5.2 Global Secure Enclaves Market by Region
  • 5.3 Global Pellucidity Between Users Market by Region
  • 5.4 Global Others Market by Region

Chapter 6. Global Confidential Computing Market by Deployment Mode

  • 6.1 Global Cloud Market by Region
  • 6.2 Global On-premise Market by Region

Chapter 7. Global Confidential Computing Market by Vertical

  • 7.1 Global BFSI Market by Region
  • 7.2 Global Healthcare Market by Region
  • 7.3 Global IT & Telecom Market by Region
  • 7.4 Global Government & Defense Market by Region
  • 7.5 Global Manufacturing Market by Region
  • 7.6 Global Retail & Consumer Goods Market by Region
  • 7.7 Global Others Market by Region

Chapter 8. Global Confidential Computing Market by Region

  • 8.1 North America Confidential Computing Market
    • 8.1.1 North America Confidential Computing Market by Component
      • 8.1.1.1 North America Software Market by Country
      • 8.1.1.2 North America Hardware Market by Country
      • 8.1.1.3 North America Services Market by Country
    • 8.1.2 North America Confidential Computing Market by Application
      • 8.1.2.1 North America Data Security Market by Country
      • 8.1.2.2 North America Secure Enclaves Market by Country
      • 8.1.2.3 North America Pellucidity Between Users Market by Country
      • 8.1.2.4 North America Others Market by Country
    • 8.1.3 North America Confidential Computing Market by Deployment Mode
      • 8.1.3.1 North America Cloud Market by Country
      • 8.1.3.2 North America On-premise Market by Country
    • 8.1.4 North America Confidential Computing Market by Vertical
      • 8.1.4.1 North America BFSI Market by Country
      • 8.1.4.2 North America Healthcare Market by Country
      • 8.1.4.3 North America IT & Telecom Market by Country
      • 8.1.4.4 North America Government & Defense Market by Country
      • 8.1.4.5 North America Manufacturing Market by Country
      • 8.1.4.6 North America Retail & Consumer Goods Market by Country
      • 8.1.4.7 North America Others Market by Country
    • 8.1.5 North America Confidential Computing Market by Country
      • 8.1.5.1 US Confidential Computing Market
        • 8.1.5.1.1 US Confidential Computing Market by Component
        • 8.1.5.1.2 US Confidential Computing Market by Application
        • 8.1.5.1.3 US Confidential Computing Market by Deployment Mode
        • 8.1.5.1.4 US Confidential Computing Market by Vertical
      • 8.1.5.2 Canada Confidential Computing Market
        • 8.1.5.2.1 Canada Confidential Computing Market by Component
        • 8.1.5.2.2 Canada Confidential Computing Market by Application
        • 8.1.5.2.3 Canada Confidential Computing Market by Deployment Mode
        • 8.1.5.2.4 Canada Confidential Computing Market by Vertical
      • 8.1.5.3 Mexico Confidential Computing Market
        • 8.1.5.3.1 Mexico Confidential Computing Market by Component
        • 8.1.5.3.2 Mexico Confidential Computing Market by Application
        • 8.1.5.3.3 Mexico Confidential Computing Market by Deployment Mode
        • 8.1.5.3.4 Mexico Confidential Computing Market by Vertical
      • 8.1.5.4 Rest of North America Confidential Computing Market
        • 8.1.5.4.1 Rest of North America Confidential Computing Market by Component
        • 8.1.5.4.2 Rest of North America Confidential Computing Market by Application
        • 8.1.5.4.3 Rest of North America Confidential Computing Market by Deployment Mode
        • 8.1.5.4.4 Rest of North America Confidential Computing Market by Vertical
  • 8.2 Europe Confidential Computing Market
    • 8.2.1 Europe Confidential Computing Market by Component
      • 8.2.1.1 Europe Software Market by Country
      • 8.2.1.2 Europe Hardware Market by Country
      • 8.2.1.3 Europe Services Market by Country
    • 8.2.2 Europe Confidential Computing Market by Application
      • 8.2.2.1 Europe Data Security Market by Country
      • 8.2.2.2 Europe Secure Enclaves Market by Country
      • 8.2.2.3 Europe Pellucidity Between Users Market by Country
      • 8.2.2.4 Europe Others Market by Country
    • 8.2.3 Europe Confidential Computing Market by Deployment Mode
      • 8.2.3.1 Europe Cloud Market by Country
      • 8.2.3.2 Europe On-premise Market by Country
    • 8.2.4 Europe Confidential Computing Market by Vertical
      • 8.2.4.1 Europe BFSI Market by Country
      • 8.2.4.2 Europe Healthcare Market by Country
      • 8.2.4.3 Europe IT & Telecom Market by Country
      • 8.2.4.4 Europe Government & Defense Market by Country
      • 8.2.4.5 Europe Manufacturing Market by Country
      • 8.2.4.6 Europe Retail & Consumer Goods Market by Country
      • 8.2.4.7 Europe Others Market by Country
    • 8.2.5 Europe Confidential Computing Market by Country
      • 8.2.5.1 Germany Confidential Computing Market
        • 8.2.5.1.1 Germany Confidential Computing Market by Component
        • 8.2.5.1.2 Germany Confidential Computing Market by Application
        • 8.2.5.1.3 Germany Confidential Computing Market by Deployment Mode
        • 8.2.5.1.4 Germany Confidential Computing Market by Vertical
      • 8.2.5.2 UK Confidential Computing Market
        • 8.2.5.2.1 UK Confidential Computing Market by Component
        • 8.2.5.2.2 UK Confidential Computing Market by Application
        • 8.2.5.2.3 UK Confidential Computing Market by Deployment Mode
        • 8.2.5.2.4 UK Confidential Computing Market by Vertical
      • 8.2.5.3 France Confidential Computing Market
        • 8.2.5.3.1 France Confidential Computing Market by Component
        • 8.2.5.3.2 France Confidential Computing Market by Application
        • 8.2.5.3.3 France Confidential Computing Market by Deployment Mode
        • 8.2.5.3.4 France Confidential Computing Market by Vertical
      • 8.2.5.4 Russia Confidential Computing Market
        • 8.2.5.4.1 Russia Confidential Computing Market by Component
        • 8.2.5.4.2 Russia Confidential Computing Market by Application
        • 8.2.5.4.3 Russia Confidential Computing Market by Deployment Mode
        • 8.2.5.4.4 Russia Confidential Computing Market by Vertical
      • 8.2.5.5 Spain Confidential Computing Market
        • 8.2.5.5.1 Spain Confidential Computing Market by Component
        • 8.2.5.5.2 Spain Confidential Computing Market by Application
        • 8.2.5.5.3 Spain Confidential Computing Market by Deployment Mode
        • 8.2.5.5.4 Spain Confidential Computing Market by Vertical
      • 8.2.5.6 Italy Confidential Computing Market
        • 8.2.5.6.1 Italy Confidential Computing Market by Component
        • 8.2.5.6.2 Italy Confidential Computing Market by Application
        • 8.2.5.6.3 Italy Confidential Computing Market by Deployment Mode
        • 8.2.5.6.4 Italy Confidential Computing Market by Vertical
      • 8.2.5.7 Rest of Europe Confidential Computing Market
        • 8.2.5.7.1 Rest of Europe Confidential Computing Market by Component
        • 8.2.5.7.2 Rest of Europe Confidential Computing Market by Application
        • 8.2.5.7.3 Rest of Europe Confidential Computing Market by Deployment Mode
        • 8.2.5.7.4 Rest of Europe Confidential Computing Market by Vertical
  • 8.3 Asia Pacific Confidential Computing Market
    • 8.3.1 Asia Pacific Confidential Computing Market by Component
      • 8.3.1.1 Asia Pacific Software Market by Country
      • 8.3.1.2 Asia Pacific Hardware Market by Country
      • 8.3.1.3 Asia Pacific Services Market by Country
    • 8.3.2 Asia Pacific Confidential Computing Market by Application
      • 8.3.2.1 Asia Pacific Data Security Market by Country
      • 8.3.2.2 Asia Pacific Secure Enclaves Market by Country
      • 8.3.2.3 Asia Pacific Pellucidity Between Users Market by Country
      • 8.3.2.4 Asia Pacific Others Market by Country
    • 8.3.3 Asia Pacific Confidential Computing Market by Deployment Mode
      • 8.3.3.1 Asia Pacific Cloud Market by Country
      • 8.3.3.2 Asia Pacific On-premise Market by Country
    • 8.3.4 Asia Pacific Confidential Computing Market by Vertical
      • 8.3.4.1 Asia Pacific BFSI Market by Country
      • 8.3.4.2 Asia Pacific Healthcare Market by Country
      • 8.3.4.3 Asia Pacific IT & Telecom Market by Country
      • 8.3.4.4 Asia Pacific Government & Defense Market by Country
      • 8.3.4.5 Asia Pacific Manufacturing Market by Country
      • 8.3.4.6 Asia Pacific Retail & Consumer Goods Market by Country
      • 8.3.4.7 Asia Pacific Others Market by Country
    • 8.3.5 Asia Pacific Confidential Computing Market by Country
      • 8.3.5.1 China Confidential Computing Market
        • 8.3.5.1.1 China Confidential Computing Market by Component
        • 8.3.5.1.2 China Confidential Computing Market by Application
        • 8.3.5.1.3 China Confidential Computing Market by Deployment Mode
        • 8.3.5.1.4 China Confidential Computing Market by Vertical
      • 8.3.5.2 Japan Confidential Computing Market
        • 8.3.5.2.1 Japan Confidential Computing Market by Component
        • 8.3.5.2.2 Japan Confidential Computing Market by Application
        • 8.3.5.2.3 Japan Confidential Computing Market by Deployment Mode
        • 8.3.5.2.4 Japan Confidential Computing Market by Vertical
      • 8.3.5.3 India Confidential Computing Market
        • 8.3.5.3.1 India Confidential Computing Market by Component
        • 8.3.5.3.2 India Confidential Computing Market by Application
        • 8.3.5.3.3 India Confidential Computing Market by Deployment Mode
        • 8.3.5.3.4 India Confidential Computing Market by Vertical
      • 8.3.5.4 South Korea Confidential Computing Market
        • 8.3.5.4.1 South Korea Confidential Computing Market by Component
        • 8.3.5.4.2 South Korea Confidential Computing Market by Application
        • 8.3.5.4.3 South Korea Confidential Computing Market by Deployment Mode
        • 8.3.5.4.4 South Korea Confidential Computing Market by Vertical
      • 8.3.5.5 Singapore Confidential Computing Market
        • 8.3.5.5.1 Singapore Confidential Computing Market by Component
        • 8.3.5.5.2 Singapore Confidential Computing Market by Application
        • 8.3.5.5.3 Singapore Confidential Computing Market by Deployment Mode
        • 8.3.5.5.4 Singapore Confidential Computing Market by Vertical
      • 8.3.5.6 Malaysia Confidential Computing Market
        • 8.3.5.6.1 Malaysia Confidential Computing Market by Component
        • 8.3.5.6.2 Malaysia Confidential Computing Market by Application
        • 8.3.5.6.3 Malaysia Confidential Computing Market by Deployment Mode
        • 8.3.5.6.4 Malaysia Confidential Computing Market by Vertical
      • 8.3.5.7 Rest of Asia Pacific Confidential Computing Market
        • 8.3.5.7.1 Rest of Asia Pacific Confidential Computing Market by Component
        • 8.3.5.7.2 Rest of Asia Pacific Confidential Computing Market by Application
        • 8.3.5.7.3 Rest of Asia Pacific Confidential Computing Market by Deployment Mode
        • 8.3.5.7.4 Rest of Asia Pacific Confidential Computing Market by Vertical
  • 8.4 LAMEA Confidential Computing Market
    • 8.4.1 LAMEA Confidential Computing Market by Component
      • 8.4.1.1 LAMEA Software Market by Country
      • 8.4.1.2 LAMEA Hardware Market by Country
      • 8.4.1.3 LAMEA Services Market by Country
    • 8.4.2 LAMEA Confidential Computing Market by Application
      • 8.4.2.1 LAMEA Data Security Market by Country
      • 8.4.2.2 LAMEA Secure Enclaves Market by Country
      • 8.4.2.3 LAMEA Pellucidity Between Users Market by Country
      • 8.4.2.4 LAMEA Others Market by Country
    • 8.4.3 LAMEA Confidential Computing Market by Deployment Mode
      • 8.4.3.1 LAMEA Cloud Market by Country
      • 8.4.3.2 LAMEA On-premise Market by Country
    • 8.4.4 LAMEA Confidential Computing Market by Vertical
      • 8.4.4.1 LAMEA BFSI Market by Country
      • 8.4.4.2 LAMEA Healthcare Market by Country
      • 8.4.4.3 LAMEA IT & Telecom Market by Country
      • 8.4.4.4 LAMEA Government & Defense Market by Country
      • 8.4.4.5 LAMEA Manufacturing Market by Country
      • 8.4.4.6 LAMEA Retail & Consumer Goods Market by Country
      • 8.4.4.7 LAMEA Others Market by Country
    • 8.4.5 LAMEA Confidential Computing Market by Country
      • 8.4.5.1 Brazil Confidential Computing Market
        • 8.4.5.1.1 Brazil Confidential Computing Market by Component
        • 8.4.5.1.2 Brazil Confidential Computing Market by Application
        • 8.4.5.1.3 Brazil Confidential Computing Market by Deployment Mode
        • 8.4.5.1.4 Brazil Confidential Computing Market by Vertical
      • 8.4.5.2 Argentina Confidential Computing Market
        • 8.4.5.2.1 Argentina Confidential Computing Market by Component
        • 8.4.5.2.2 Argentina Confidential Computing Market by Application
        • 8.4.5.2.3 Argentina Confidential Computing Market by Deployment Mode
        • 8.4.5.2.4 Argentina Confidential Computing Market by Vertical
      • 8.4.5.3 UAE Confidential Computing Market
        • 8.4.5.3.1 UAE Confidential Computing Market by Component
        • 8.4.5.3.2 UAE Confidential Computing Market by Application
        • 8.4.5.3.3 UAE Confidential Computing Market by Deployment Mode
        • 8.4.5.3.4 UAE Confidential Computing Market by Vertical
      • 8.4.5.4 Saudi Arabia Confidential Computing Market
        • 8.4.5.4.1 Saudi Arabia Confidential Computing Market by Component
        • 8.4.5.4.2 Saudi Arabia Confidential Computing Market by Application
        • 8.4.5.4.3 Saudi Arabia Confidential Computing Market by Deployment Mode
        • 8.4.5.4.4 Saudi Arabia Confidential Computing Market by Vertical
      • 8.4.5.5 South Africa Confidential Computing Market
        • 8.4.5.5.1 South Africa Confidential Computing Market by Component
        • 8.4.5.5.2 South Africa Confidential Computing Market by Application
        • 8.4.5.5.3 South Africa Confidential Computing Market by Deployment Mode
        • 8.4.5.5.4 South Africa Confidential Computing Market by Vertical
      • 8.4.5.6 Nigeria Confidential Computing Market
        • 8.4.5.6.1 Nigeria Confidential Computing Market by Component
        • 8.4.5.6.2 Nigeria Confidential Computing Market by Application
        • 8.4.5.6.3 Nigeria Confidential Computing Market by Deployment Mode
        • 8.4.5.6.4 Nigeria Confidential Computing Market by Vertical
      • 8.4.5.7 Rest of LAMEA Confidential Computing Market
        • 8.4.5.7.1 Rest of LAMEA Confidential Computing Market by Component
        • 8.4.5.7.2 Rest of LAMEA Confidential Computing Market by Application
        • 8.4.5.7.3 Rest of LAMEA Confidential Computing Market by Deployment Mode
        • 8.4.5.7.4 Rest of LAMEA Confidential Computing Market by Vertical

Chapter 9. Company Profiles

  • 9.1 Swisscom Ltd
    • 9.1.1 Company Overview
    • 9.1.2 Financial Analysis
    • 9.1.3 Segmental and Regional Analysis
  • 9.2 OVH Groupe S.A
    • 9.2.1 Company Overview
    • 9.2.2 Financial Analysis
    • 9.2.3 Segmental and Regional Analysis
  • 9.3 Arm Limited (SoftBank Group Corp.)
    • 9.3.1 Company Overview
    • 9.3.1 Financial Analysis
    • 9.3.2 Segmental Analysis
  • 9.4 Microsoft Corporation
    • 9.4.1 Company Overview
    • 9.4.2 Financial Analysis
    • 9.4.3 Segmental and Regional Analysis
    • 9.4.4 Research & Development Expenses
    • 9.4.5 Recent strategies and developments:
      • 9.4.5.1 Partnerships, Collaborations, and Agreements:
    • 9.4.6 SWOT Analysis
  • 9.5 IBM Corporation
    • 9.5.1 Company Overview
    • 9.5.3 Regional & Segmental Analysis
    • 9.5.4 Research & Development Expenses
    • 9.5.5 Recent strategies and developments:
      • 9.5.5.1 Partnerships, Collaborations, and Agreements:
      • 9.5.5.2 Acquisition and Mergers:
    • 9.5.6 SWOT Analysis
  • 9.6 Google LLC (Alphabet Inc.)
    • 9.6.1 Company Overview
    • 9.6.2 Financial Analysis
    • 9.6.3 Segmental and Regional Analysis
    • 9.6.4 Research & Development Expense
    • 9.6.5 Recent strategies and developments:
      • 9.6.5.1 Partnerships, Collaborations, and Agreements:
      • 9.6.5.2 Product Launches and Product Expansions:
    • 9.6.6 SWOT Analysis
  • 9.7 Amazon Web Services, Inc. (Amazon.com, Inc.)
    • 9.7.1 Company Overview
    • 9.7.2 Financial Analysis
    • 9.7.3 Segmental Analysis
    • 9.7.4 SWOT Analysis
  • 9.8 Intel Corporation
    • 9.8.1 Company Overview
    • 9.8.2 Financial Analysis
    • 9.8.3 Segmental and Regional Analysis
    • 9.8.4 Research & Development Expenses
    • 9.8.5 Recent strategies and developments:
      • 9.8.5.1 Partnerships, Collaborations, and Agreements:
      • 9.8.5.2 Product Launches and Product Expansions:
    • 9.8.6 SWOT Analysis
  • 9.9 Advanced Micro Devices, Inc.
    • 9.9.1 Company Overview
    • 9.9.2 Financial Analysis
    • 9.9.3 Segmental and Regional Analysis
    • 9.9.4 Research & Development Expenses
  • 9.10. Alibaba Cloud (Alibaba Group Holding Limited)
    • 9.10.1 Company Overview
    • 9.10.2 Financial Analysis
    • 9.10.3 Segmental Analysis
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