查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1865394

全球安全聚合通訊協定市場：預測至 2032 年 - 按通訊協定類型、組件、部署方式、應用、最終用戶和地區進行分析

Secure Aggregation Protocols Market Forecasts to 2032 - Global Analysis By Protocol Type, Component, Deployment Mode, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球安全聚合通訊協定市場預計到 2025 年將達到 4.932 億美元，到 2032 年將達到 9.369 億美元，預測期內複合年成長率為 9.6%。

安全聚合通訊協定是一種加密技術，可在分散式系統中實現保護隱私的資料收集和分析。多個參與者提供加密輸入，這些輸入可以被聚合，而無需洩露單個資料點。這些通訊協定確保了機密性、完整性和抵禦推理攻擊的能力，使其在聯邦學習、感測器網路和協同分析中至關重要。在運算過程中保護敏感資訊可以增強分散式環境中的信任度和合規性，而資料隱私是這些環境的首要任務。

發表在《巨量資料前沿》上的一項研究發現，當聚合至少 20 位參與者的意見時，安全的聚合通訊協定可以將個人資料外洩的風險降低 90% 以上，這使得它們對於網路威脅情報和聯邦學習應用中的隱私保護分析非常有用。

同態加密、多方運算 (MPC) 和差分隱私的創新

隨著全球資料隱私法規日益嚴格，各組織機構正積極採用這些加密技術，以確保合規性並維持分析能力。這些技術能夠在不暴露單一資料點的情況下實現協作式資料分析，對於聯邦學習和分散式人工智慧系統至關重要。將這些技術整合到安全聚合框架中，可以提高資料共用環境中的信任度和透明度。此外，醫療保健、金融和物聯網等領域對安全機器學習的需求不斷成長，也加速了這些先進通訊協定的普及應用。

計算開銷和可擴展性挑戰

多方計算 (MPC) 和同態加密的大規模實現需要大量的處理能力和內存，這可能會影響大規模部署中的即時效能。在資源受限的環境中，例如邊緣設備和行動網路，這些限制尤其突出。此外，分散式節點間通訊協定協調和同步的複雜性會引入延遲並增加系統漏洞。因此，平衡安全性和效率可能極具挑戰性，尤其是在擴展到數百萬用戶和設備時。

對輕量級、抗斷線和頻寬通訊協定的研究

量化感知聚合、稀疏通訊技術和自適應dropout處理等創新技術正在推動更具可擴展性和能源效率的實現。這些新一代設計旨在降低運算負擔，同時保持強大的隱私保障，使其適用於邊緣運算和聯邦學習場景。此外，產學合作正在加速支援模組化、可互通協定通訊協定的開放原始碼框架的開發。這些進展有望在行動醫療、自主系統和智慧基礎設施等領域開闢新的應用場景。

公共實施

惡意攻擊者可以利用維護不善或審核不足的程式碼庫來破壞系統完整性。此外，如果保護措施不到位，暴露的通訊協定邏輯和加密原語可能導致逆向工程和定向攻擊。隨著越來越多的組織採用這些通訊協定，配置錯誤或依賴過時版本的風險也隨之增加。嚴格的檢驗、持續的修補程式更新以及遵循加密最佳實踐對於降低安全威脅至關重要。

新冠疫情的影響：

新冠疫情加速了隱私保護技術（包括安全聚合通訊協定）的普及應用。隨著遠距辦公、遠端醫療和分散式資料收集的激增，各組織機構對資料隱私和安全的擔憂日益加劇。安全聚合已成為疫情因應活動（包括協作醫學研究和接觸者追蹤）的聯邦學習模式的關鍵基礎技術。然而，由於預算重新分配和勞動力中斷，疫情也給某些行業的IT基礎設施帶來了壓力，減緩了通訊協定的普及應用。

預計在預測期內，基於 MPC 的安全聚合通訊協定細分市場將佔據最大的市場佔有率。

在預測期內，基於多方計算 (MPC) 的安全聚合通訊協定預計將佔據最大的市場佔有率，這主要得益於其技術的成熟度和在保障多方資料交換安全方面久經考驗的有效性。這些通訊協定允許多個實體協作計算聚合統計數據，而無需披露各自的輸入資訊，因此非常適合對隱私敏感的應用。 MPC 與商業聯邦學習平台和隱私增強技術的日益融合，進一步鞏固了其在安全聚合領域的領先地位。

預計在預測期內，安全聚合核心通訊協定細分市場將呈現最高的複合年成長率。

預計在預測期內，安全聚合核心通訊協定領域將實現最高成長率，這主要得益於市場對可適應不同部署環境的底層加密原語的需求不斷成長。核心通訊協定正針對包括智慧型手機、物聯網節點和邊緣伺服器在內的異質設備進行最佳化，以提高相容性、彈性和效能。各產業聯合人工智慧應用的快速發展也推動了對強大、可擴展且可客製化的聚合機制的需求。

佔比最大的地區：

預計亞太地區將在預測期內佔據最大的市場佔有率，這主要得益於快速的數位轉型和日益完善的資料隱私法規。中國、印度、韓國和日本等國家正在大力投資人工智慧、5G和智慧基礎設施，為安全的數據聚合解決方案創造了有利條件。該地區連網設備和行動用戶數量的不斷成長，進一步推動了對可擴展且保護隱私的通訊協定的需求。政府推行的資料在地化和網路安全合規舉措，也鼓勵企業採用安全的聚合框架。

預計年複合成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於人工智慧研究投資的增加、數據隱私意識的提升以及數位醫療和金融科技平台的蓬勃發展。該地區的Start-Ups和學術機構正積極開發創新安全運算技術，以滿足當地的基礎設施和監管需求。亞太地區充滿活力的創新生態系統，加上有利的政策框架，可望加速公共和私營部門對安全融合技術的應用。

免費客製化服務

訂閱本報告的用戶可從以下免費自訂選項中選擇一項：

  • 公司簡介
    • 對最多三家其他公司進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域分類
    • 根據客戶興趣對主要國家進行市場估算、預測和複合年成長率分析（註：基於可行性檢查）
  • 競爭基準化分析
    • 基於產品系列、地域覆蓋和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 引言

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 分析方法
  • 分析材料
    • 原始研究資料
    • 二手研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 介紹
  • 促進要素
  • 抑制因素
  • 市場機遇
  • 威脅
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代產品的威脅
  • 新參與企業的威脅
  • 公司間的競爭

5. 全球安全聚合通訊協定市場（按通訊協定類型分類）

  • 介紹
  • 聯邦學習安全聚合通訊協定
  • 基於模型計算的安全聚合通訊協定
  • 基於同態加密（HE）的聚合通訊協定
  • 差分隱私增強聚合通訊協定
  • 基於秘密共用的聚合
  • 混合通訊協定（MPC+HE，HE+DP）
  • 輕量級物聯網/邊緣通訊協定
  • 其他通訊協定類型

6. 全球安全聚合通訊協定市場（按組件分類）

  • 介紹
  • 安全聚合核心通訊協定
  • 多方計算（MPC）模組
  • 同態加密模組
  • 差分隱私模組
  • 金鑰管理和分發
  • SDK、API 和開發者工具
  • 聚合與分析引擎
  • 監控、審核和合規工具
  • 其他部件

7. 全球安全聚合通訊協定市場（以部署方式分類）

  • 介紹
  • 本地部署
  • 雲端基礎的
  • 混合
  • 資安管理服務
  • 其他部署方法

8. 全球安全聚合通訊協定市場（按應用分類）

  • 介紹
  • 保護隱私的機器學習模型訓練
  • 協作數據分析與商業智慧
  • 醫療保健數據聚合與探索
  • 金融服務與風險分析
  • 廣告成效衡量與行銷歸因
  • 智慧城市與公共部門分析
  • 研究聯盟和學術機構
  • 其他用途

9. 全球安全聚合通訊協定市場（按最終用戶分類）

  • 介紹
  • 金融機構及金融科技
  • 通訊業者和虛擬行動網路營運商
  • 技術和雲端服務供應商
  • 研究機構和大學
  • 製造/工業公司
  • 其他最終用戶

10. 全球安全聚合通訊協定市場（按地區分類）

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲國家
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併（M&A）
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章：公司簡介

  • Google LLC
  • Apple Inc.
  • Microsoft Corporation
  • IBM Corporation
  • Intel Corporation
  • NVIDIA Corporation
  • Amazon Web Services（AWS）
  • Meta Platforms, Inc.
  • Qualcomm Incorporated
  • Arm Ltd.
  • Hewlett Packard Enterprise（HPE）
  • Cisco Systems, Inc.
  • Duality Technologies
  • Cape Privacy
  • Enveil
  • Zama
  • Inpher
  • OpenMined
  • Partisia
Product Code: SMRC32100

According to Stratistics MRC, the Global Secure Aggregation Protocols Market is accounted for $493.2 million in 2025 and is expected to reach $936.9 million by 2032 growing at a CAGR of 9.6% during the forecast period. Secure aggregation protocols are cryptographic techniques designed to enable privacy-preserving data collection and analysis across distributed systems. They allow multiple participants to contribute encrypted inputs, which are then aggregated without revealing individual data points. These protocols ensure confidentiality, integrity, and resistance to inference attacks, making them essential in federated learning, sensor networks, and collaborative analytics. By safeguarding sensitive information during computation, secure aggregation enhances trust and compliance in decentralized environments where data privacy is paramount.

According to study published in Frontiers in Big Data found that secure aggregation protocols can reduce individual data exposure risk by over 90% when aggregating inputs from at least 20 participants, making them highly effective for privacy-preserving analytics in cyber threat intelligence and federated learning applications.

Market Dynamics:

Driver:

Innovations in homomorphic encryption, multiparty computation (MPC), and differential privacy

As data privacy regulations tighten globally, organizations are increasingly adopting these cryptographic techniques to ensure compliance while maintaining analytical capabilities. These technologies enable collaborative data analysis without exposing individual data points, making them essential for federated learning and decentralized AI systems. The integration of these methods into secure aggregation frameworks enhances trust and transparency in data sharing environments. Moreover, the growing demand for secure machine learning in sectors like healthcare, finance, and IoT is accelerating the adoption of these advanced protocols.

Restraint:

Computational overhead & scalability challenges

Implementing MPC and homomorphic encryption at scale requires substantial processing power and memory, which can hinder real-time performance in large-scale deployments. These limitations are particularly pronounced in resource-constrained environments such as edge devices or mobile networks. Additionally, the complexity of protocol orchestration and synchronization across distributed nodes can introduce latency and increase system fragility. As a result, organizations may face challenges in balancing security with efficiency, especially when scaling to millions of users or devices.

Opportunity:

Research into lightweight, dropout-resilient, and bandwidth-efficient protocols

Innovations such as quantization-aware aggregation, sparse communication techniques, and adaptive dropout handling are enabling more scalable and energy-efficient implementations. These next-generation designs aim to reduce the computational footprint while maintaining robust privacy guarantees, making them suitable for edge computing and federated learning scenarios. Furthermore, academic and industry collaborations are accelerating the development of open-source frameworks that support modular and interoperable protocol stacks. These advancements are expected to unlock new use cases in mobile health, autonomous systems, and smart infrastructure.

Threat:

Publicly available implementations

Malicious actors may exploit poorly maintained or inadequately audited codebases to compromise system integrity. Additionally, the exposure of protocol logic and cryptographic primitives can lead to reverse engineering or targeted attacks if not properly safeguarded. As more organizations adopt these protocols, the risk of misconfiguration or reliance on outdated versions increases. This underscores the need for rigorous validation, continuous patching, and adherence to cryptographic best practices to mitigate security threats.

Covid-19 Impact:

The COVID-19 pandemic served as a catalyst for the adoption of privacy-preserving technologies, including secure aggregation protocols. With the surge in remote work, telehealth, and decentralized data collection, organizations faced heightened concerns around data privacy and security. Secure aggregation became a critical enabler for federated learning models used in pandemic response efforts, such as collaborative medical research and contact tracing. However, the pandemic also strained IT infrastructure and delayed protocol deployments in some sectors due to budget reallocations and workforce disruptions.

The MPC-based secure aggregation protocols segment is expected to be the largest during the forecast period

The MPC-based secure aggregation protocols segment is expected to account for the largest market share during the forecast period propelled by, its maturity and proven effectiveness in safeguarding multi-party data exchanges. These protocols allow multiple entities to jointly compute aggregate statistics without revealing individual inputs, making them ideal for privacy-sensitive applications. The increasing integration of MPC into commercial federated learning platforms and privacy-enhancing technologies is further reinforcing its dominance in the secure aggregation landscape.

The secure aggregation core protocols segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the secure aggregation core protocols segment is predicted to witness the highest growth rate, attributed to the rising demand for foundational cryptographic primitives that can be tailored to diverse deployment environments. Core protocols are being optimized for performance, fault tolerance, and compatibility with heterogeneous devices, including smartphones, IoT nodes, and edge servers. The surge in federated AI applications across industries is driving the need for robust, scalable, and customizable aggregation mechanisms.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, supported by rapid digital transformation and expanding data privacy regulations. Countries such as China, India, South Korea, and Japan are investing heavily in AI, 5G, and smart infrastructure, creating fertile ground for secure data aggregation solutions. The region's growing base of connected devices and mobile users further amplifies the need for scalable and privacy-preserving communication protocols. Government initiatives promoting data localization and cybersecurity compliance are also encouraging enterprises to adopt secure aggregation frameworks.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by increasing investments in AI research, rising awareness of data privacy, and the proliferation of digital health and fintech platforms. Startups and academic institutions across the region are actively developing novel secure computation techniques tailored to local infrastructure and regulatory needs. The region's dynamic innovation ecosystem, combined with supportive policy frameworks, is expected to accelerate the deployment of secure aggregation technologies across both public and private sectors.

Key players in the market

Some of the key players in Secure Aggregation Protocols Market include Key players in the secure aggregation protocols market include Google LLC, Apple Inc., Microsoft Corporation, IBM Corporation, Intel Corporation, NVIDIA Corporation, Amazon Web Services (AWS), Meta Platforms, Inc., Qualcomm Incorporated, Arm Ltd., Hewlett Packard Enterprise (HPE), Cisco Systems, Inc., Duality Technologies, Cape Privacy, Enveil, Zama, Inpher, OpenMined, and Partisia.

Key Developments:

In September 2025, Apple launched iPhone 17, iPhone Air, Apple Watch Series 11, and AirPods Pro 3. The iPhone Air is the thinnest iPhone ever at 5.6mm, with enhanced battery and camera.

In September 2025, IBM and SCREEN Semiconductor signed a deal to co-develop EUV cleaning processes. This builds on a decade-long collaboration in advanced chip manufacturing.

In September 2025, Intel and NVIDIA announced joint development of AI infrastructure and personal computing products. The collaboration targets hybrid AI models and next-gen PC platforms.

Protocol Types Covered:

  • Federated Learning Secure Aggregation Protocols
  • MPC-Based Secure Aggregation Protocols
  • Homomorphic Encryption (HE)-Based Aggregation Protocols
  • Differential Privacy-Enhanced Aggregation Protocols
  • Secret Sharing-Based Aggregation
  • Hybrid Protocols (MPC+HE, HE+DP)
  • Lightweight Protocols for IoT/Edge
  • Other Protocol Types

Components Covered:

  • Secure Aggregation Core Protocols
  • Multi-Party Computation (MPC) Modules
  • Homomorphic Encryption Modules
  • Differential Privacy Modules
  • Key Management & Distribution
  • SDKs, APIs and Developer Tooling
  • Aggregation & Analytics Engines
  • Monitoring, Auditing & Compliance Tools
  • Other Components

Deployment Modes Covered:

  • On-Premises
  • Cloud-Based
  • Hybrid
  • Managed Security Services
  • Other Deployment Modes

Applications Covered:

  • Privacy-Preserving Machine Learning Model Training
  • Collaborative Data Analytics & Business Intelligence
  • Healthcare Data Aggregation & Research
  • Financial Services & Risk Analytics
  • Advertising Measurement & Marketing Attribution
  • Smart Cities & Public Sector Analytics
  • Research Consortia & Academia
  • Other Applications

End Users Covered:

  • Financial Institutions & FinTechs
  • Telecom Operators & MVNOs
  • Technology & Cloud Service Providers
  • Research Organizations & Universities
  • Manufacturing & Industrial Enterprises
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Secure Aggregation Protocols Market, By Protocol Type

  • 5.1 Introduction
  • 5.2 Federated Learning Secure Aggregation Protocols
  • 5.3 MPC-Based Secure Aggregation Protocols
  • 5.4 Homomorphic Encryption (HE)-Based Aggregation Protocols
  • 5.5 Differential Privacy-Enhanced Aggregation Protocols
  • 5.6 Secret Sharing-Based Aggregation
  • 5.7 Hybrid Protocols (MPC+HE, HE+DP)
  • 5.8 Lightweight Protocols for IoT/Edge
  • 5.9 Other Protocol Types

6 Global Secure Aggregation Protocols Market, By Component

  • 6.1 Introduction
  • 6.2 Secure Aggregation Core Protocols
  • 6.3 Multi-Party Computation (MPC) Modules
  • 6.4 Homomorphic Encryption Modules
  • 6.5 Differential Privacy Modules
  • 6.6 Key Management & Distribution
  • 6.7 SDKs, APIs and Developer Tooling
  • 6.8 Aggregation & Analytics Engines
  • 6.9 Monitoring, Auditing & Compliance Tools
  • 6.10 Other Components

7 Global Secure Aggregation Protocols Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 On-Premises
  • 7.3 Cloud-Based
  • 7.4 Hybrid
  • 7.5 Managed Security Services
  • 7.6 Other Deployment Modes

8 Global Secure Aggregation Protocols Market, By Application

  • 8.1 Introduction
  • 8.2 Privacy-Preserving Machine Learning Model Training
  • 8.3 Collaborative Data Analytics & Business Intelligence
  • 8.4 Healthcare Data Aggregation & Research
  • 8.5 Financial Services & Risk Analytics
  • 8.6 Advertising Measurement & Marketing Attribution
  • 8.7 Smart Cities & Public Sector Analytics
  • 8.8 Research Consortia & Academia
  • 8.9 Other Applications

9 Global Secure Aggregation Protocols Market, By End User

  • 9.1 Introduction
  • 9.2 Financial Institutions & FinTechs
  • 9.3 Telecom Operators & MVNOs
  • 9.4 Technology & Cloud Service Providers
  • 9.5 Research Organizations & Universities
  • 9.6 Manufacturing & Industrial Enterprises
  • 9.7 Other End Users

10 Global Secure Aggregation Protocols Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Google LLC
  • 12.2 Apple Inc.
  • 12.3 Microsoft Corporation
  • 12.4 IBM Corporation
  • 12.5 Intel Corporation
  • 12.6 NVIDIA Corporation
  • 12.7 Amazon Web Services (AWS)
  • 12.8 Meta Platforms, Inc.
  • 12.9 Qualcomm Incorporated
  • 12.10 Arm Ltd.
  • 12.11 Hewlett Packard Enterprise (HPE)
  • 12.12 Cisco Systems, Inc.
  • 12.13 Duality Technologies
  • 12.14 Cape Privacy
  • 12.15 Enveil
  • 12.16 Zama
  • 12.17 Inpher
  • 12.18 OpenMined
  • 12.19 Partisia

List of Tables

  • Table 1 Global Secure Aggregation Protocols Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Secure Aggregation Protocols Market Outlook, By Protocol Type (2024-2032) ($MN)
  • Table 3 Global Secure Aggregation Protocols Market Outlook, By Federated Learning Secure Aggregation Protocols (2024-2032) ($MN)
  • Table 4 Global Secure Aggregation Protocols Market Outlook, By MPC-Based Secure Aggregation Protocols (2024-2032) ($MN)
  • Table 5 Global Secure Aggregation Protocols Market Outlook, By Homomorphic Encryption (HE)-Based Aggregation Protocols (2024-2032) ($MN)
  • Table 6 Global Secure Aggregation Protocols Market Outlook, By Differential Privacy-Enhanced Aggregation Protocols (2024-2032) ($MN)
  • Table 7 Global Secure Aggregation Protocols Market Outlook, By Secret Sharing-Based Aggregation (2024-2032) ($MN)
  • Table 8 Global Secure Aggregation Protocols Market Outlook, By Hybrid Protocols (MPC+HE, HE+DP) (2024-2032) ($MN)
  • Table 9 Global Secure Aggregation Protocols Market Outlook, By Lightweight Protocols for IoT/Edge (2024-2032) ($MN)
  • Table 10 Global Secure Aggregation Protocols Market Outlook, By Other Protocol Types (2024-2032) ($MN)
  • Table 11 Global Secure Aggregation Protocols Market Outlook, By Component (2024-2032) ($MN)
  • Table 12 Global Secure Aggregation Protocols Market Outlook, By Secure Aggregation Core Protocols (2024-2032) ($MN)
  • Table 13 Global Secure Aggregation Protocols Market Outlook, By Multi-Party Computation (MPC) Modules (2024-2032) ($MN)
  • Table 14 Global Secure Aggregation Protocols Market Outlook, By Homomorphic Encryption Modules (2024-2032) ($MN)
  • Table 15 Global Secure Aggregation Protocols Market Outlook, By Differential Privacy Modules (2024-2032) ($MN)
  • Table 16 Global Secure Aggregation Protocols Market Outlook, By Key Management & Distribution (2024-2032) ($MN)
  • Table 17 Global Secure Aggregation Protocols Market Outlook, By SDKs, APIs and Developer Tooling (2024-2032) ($MN)
  • Table 18 Global Secure Aggregation Protocols Market Outlook, By Aggregation & Analytics Engines (2024-2032) ($MN)
  • Table 19 Global Secure Aggregation Protocols Market Outlook, By Monitoring, Auditing & Compliance Tools (2024-2032) ($MN)
  • Table 20 Global Secure Aggregation Protocols Market Outlook, By Other Components (2024-2032) ($MN)
  • Table 21 Global Secure Aggregation Protocols Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 22 Global Secure Aggregation Protocols Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 23 Global Secure Aggregation Protocols Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 24 Global Secure Aggregation Protocols Market Outlook, By Hybrid (2024-2032) ($MN)
  • Table 25 Global Secure Aggregation Protocols Market Outlook, By Managed Security Services (2024-2032) ($MN)
  • Table 26 Global Secure Aggregation Protocols Market Outlook, By Other Deployment Modes (2024-2032) ($MN)
  • Table 27 Global Secure Aggregation Protocols Market Outlook, By Application (2024-2032) ($MN)
  • Table 28 Global Secure Aggregation Protocols Market Outlook, By Privacy-Preserving Machine Learning Model Training (2024-2032) ($MN)
  • Table 29 Global Secure Aggregation Protocols Market Outlook, By Collaborative Data Analytics & Business Intelligence (2024-2032) ($MN)
  • Table 30 Global Secure Aggregation Protocols Market Outlook, By Healthcare Data Aggregation & Research (2024-2032) ($MN)
  • Table 31 Global Secure Aggregation Protocols Market Outlook, By Financial Services & Risk Analytics (2024-2032) ($MN)
  • Table 32 Global Secure Aggregation Protocols Market Outlook, By Advertising Measurement & Marketing Attribution (2024-2032) ($MN)
  • Table 33 Global Secure Aggregation Protocols Market Outlook, By Smart Cities & Public Sector Analytics (2024-2032) ($MN)
  • Table 34 Global Secure Aggregation Protocols Market Outlook, By Research Consortia & Academia (2024-2032) ($MN)
  • Table 35 Global Secure Aggregation Protocols Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 36 Global Secure Aggregation Protocols Market Outlook, By End User (2024-2032) ($MN)
  • Table 37 Global Secure Aggregation Protocols Market Outlook, By Financial Institutions & FinTechs (2024-2032) ($MN)
  • Table 38 Global Secure Aggregation Protocols Market Outlook, By Telecom Operators & MVNOs (2024-2032) ($MN)
  • Table 39 Global Secure Aggregation Protocols Market Outlook, By Technology & Cloud Service Providers (2024-2032) ($MN)
  • Table 40 Global Secure Aggregation Protocols Market Outlook, By Research Organizations & Universities (2024-2032) ($MN)
  • Table 41 Global Secure Aggregation Protocols Market Outlook, By Manufacturing & Industrial Enterprises (2024-2032) ($MN)
  • Table 42 Global Secure Aggregation Protocols Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.