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市场调查报告书
商品编码
1785363
安全多方计算市场-全球产业规模、份额、趋势、机会和预测(按产品、部署模式、垂直产业、地区和竞争细分,2020-2030 年预测)Secure Multiparty Computation Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Offering, By Deployment Mode, By Vertical, By Region & Competition, 2020-2030F |
2024 年全球安全多方运算 (SMPC) 市值为 8.1104 亿美元,预计到 2030 年将达到 15.3976 亿美元,复合年增长率为 11.28%。全球安全多方运算 (SMPC) 市场围绕着加密协定展开,该协定允许多方联合计算其输入的函数,而不会向彼此透露输入。
市场概览 | |
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预测期 | 2026-2030 |
2024年市场规模 | 8.1104亿美元 |
2030年市场规模 | 15.3976亿美元 |
2025-2030 年复合年增长率 | 11.28% |
成长最快的领域 | 资讯科技与 ITES |
最大的市场 | 北美洲 |
这项先进技术对于金融、医疗保健和国防等高度重视资料机密性和隐私性的产业至关重要。安全多方运算 (SMC) 可确保敏感资料保持私密,同时允许实体协作进行风险分析、诈欺侦测或研究等计算。随着资料外洩问题日益严重、《一般资料保护规范》(GDPR) 等监管压力以及网路威胁日益复杂,各组织正在优先考虑安全多方运算等加密解决方案。
全球安全多方运算 (SMPC) 市场的成长动力源于日益增长的资料隐私疑虑、对安全资料共享的需求不断增长,以及去中心化和区块链应用的日益普及。随着企业向数位生态系统转型,组织或部门之间对安全协作运算的需求日益凸显。人工智慧、机器学习和巨量资料分析的扩展进一步加速了对安全多方运算的需求,因为这些技术通常需要存取大型敏感资料集。企业正在采用 SMPC 来实现隐私权保护运算,同时又不损害资料完整性或法规遵循。
由于密码学研究的进步和技术提供者不断增加的投资,全球安全多方运算 (SMPC) 市场预计将实现显着成长。隐私增强技术的兴起,加上安全供应商和产业参与者之间的策略合作伙伴关係,正在推动各行业采用 SMPC 解决方案。此外,云端运算、多云部署和混合式工作模式的普及也扩大了对安全运算协定的需求。随着企业持续重视资料保护,安全多方运算将成为安全协作的关键推动因素,并在预测期内推动市场持续成长。
对资料隐私和保密性的担忧日益加剧
全球安全多方运算 (SMPC) 市场中的高运算复杂性和效能瓶颈
安全多方运算与人工智慧和机器学习的融合
The Global Secure Multiparty Computation (SMPC) Market was valued at USD 811.04 Million in 2024 and is expected to reach USD 1539.76 Million by 2030 with a CAGR of 11.28% through 2030. The Global Secure Multiparty Computation (SMPC) Market revolves around cryptographic protocols that enable multiple parties to jointly compute a function over their inputs without revealing the inputs to each other.
Market Overview | |
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Forecast Period | 2026-2030 |
Market Size 2024 | USD 811.04 Million |
Market Size 2030 | USD 1539.76 Million |
CAGR 2025-2030 | 11.28% |
Fastest Growing Segment | IT & ITES |
Largest Market | North America |
This advanced technology is critical for industries such as finance, healthcare, and defense, where data confidentiality and privacy are paramount. Secure Multiparty Computation ensures that sensitive data remains private while allowing entities to collaborate on computations like risk analysis, fraud detection, or research studies. With growing concerns around data breaches, regulatory pressures like GDPR, and the increasing complexity of cyber threats, organizations are prioritizing cryptographic solutions like Secure Multiparty Computation.
The growth of the Global Secure Multiparty Computation (SMPC) Market is driven by increasing data privacy concerns, the rising need for secure data sharing, and the growing adoption of decentralized and blockchain applications. As businesses shift towards digital ecosystems, the requirement for secure, collaborative computation between organizations or departments is becoming critical. The expansion of artificial intelligence, machine learning, and big data analytics further accelerates the demand for Secure Multiparty Computation as these technologies often require access to large, sensitive datasets. Enterprises are adopting SMPC to enable privacy-preserving computations without compromising data integrity or regulatory compliance.
The Global Secure Multiparty Computation (SMPC) Market is expected to experience significant growth due to advancements in cryptographic research and increasing investment from technology providers. The rise of privacy-enhancing technologies, combined with strategic partnerships between security vendors and industry players, is fostering the adoption of SMPC solutions across sectors. Additionally, the proliferation of cloud computing, multi-cloud deployments, and hybrid work models amplifies the need for secure computation protocols. As organizations continue to prioritize data protection, Secure Multiparty Computation will become a key enabler of secure collaboration, driving sustained market growth over the forecast period.
Key Market Drivers
Rising Concerns Over Data Privacy and Confidentiality
The surge in global data privacy regulations and the increasing frequency of cyberattacks have made data protection a critical priority for enterprises worldwide. The Global Secure Multiparty Computation (SMPC) Market benefits directly from this trend, as organizations adopt solutions that enable collaborative computation without compromising sensitive data. Industries like healthcare, finance, and defense frequently handle confidential information that, if exposed, could result in severe financial and reputational damage. Secure Multiparty Computation provides a cryptographic shield, ensuring that even in collaborative environments, private data remains protected from unauthorized access.
The rise in cross-border data transactions and partnerships has heightened the demand for privacy-preserving solutions. With regulators imposing stringent compliance requirements, companies can no longer risk data exposure, even in collaborative projects. Secure Multiparty Computation enables such collaborations without violating privacy norms, allowing businesses to maintain trust and comply with evolving data protection laws. As the global digital economy expands, the demand for data confidentiality through advanced computation methods like Secure Multiparty Computation is expected to drive continuous market growth. Global investments in data protection and privacy solutions are projected to exceed USD 120 billion by 2026, driven by regulatory demands and increasing data breaches. This surge reflects enterprises' growing emphasis on technologies like Secure Multiparty Computation that ensure data confidentiality in multi-party collaborations while mitigating risks of compliance violations and unauthorized data exposure.
Key Market Challenges
High Computational Complexity and Performance Bottlenecks in the Global Secure Multiparty Computation (SMPC) Market
One of the foremost challenges confronting the Global Secure Multiparty Computation (SMPC) Market is the inherent computational complexity associated with implementing Secure Multiparty Computation protocols. Unlike conventional cryptographic methods, Secure Multiparty Computation requires simultaneous operations between multiple parties, often involving complex mathematical functions and cryptographic proofs. These operations can significantly increase computational overhead, leading to performance bottlenecks in both processing time and system efficiency. As a result, many organizations-especially those with high transaction volumes or real-time processing needs-find the current Secure Multiparty Computation solutions inefficient or unsuitable for large-scale deployment. The high latency and resource-intensive computations can slow down applications such as financial trading, supply chain management, and real-time data analytics, where speed and efficiency are critical for business operations.
The cost of maintaining high-performance hardware infrastructure to support Secure Multiparty Computation protocols further escalates operational expenses. This complexity creates a barrier to adoption, particularly for small and medium enterprises that may lack the financial resources to invest in advanced computing environments required for Secure Multiparty Computation. The challenge is exacerbated when organizations attempt to scale their operations globally, as network delays, multi-party coordination, and the need for synchronized operations increase the strain on infrastructure. Although ongoing advancements in cryptographic research aim to optimize these protocols, the Global Secure Multiparty Computation (SMPC) Market still faces a significant hurdle in balancing security with performance and cost-effectiveness, making widespread adoption a persistent challenge in the near future.
Key Market Trends
Integration of Secure Multiparty Computation with Artificial Intelligence and Machine Learning
The Global Secure Multiparty Computation (SMPC) Market is witnessing a rising trend of integrating Secure Multiparty Computation with Artificial Intelligence and Machine Learning applications. Organizations increasingly seek privacy-preserving machine learning models that can analyze sensitive data without direct access to it. Secure Multiparty Computation allows multiple data owners to collaboratively train models or execute machine learning tasks without sharing raw datasets. This integration is especially vital in sectors like healthcare, financial services, and insurance, where data confidentiality is paramount. The combination of privacy-preserving computations with AI enables companies to unlock insights from distributed datasets while maintaining compliance with data protection regulations.
This trend is further fueled by the global emphasis on responsible AI and ethical data use. Enterprises realize the potential of combining Secure Multiparty Computation with federated learning techniques, enhancing collaborative data analytics across borders. Such integration ensures regulatory compliance, boosts stakeholder confidence, and reduces data misuse risks. As AI-driven business processes expand, the Global Secure Multiparty Computation (SMPC) Market is positioned to become a critical enabler of secure, privacy-focused data collaboration in AI ecosystems. The emergence of industry partnerships and research collaborations in this area signifies strong future potential for Secure Multiparty Computation adoption in AI-powered business operations.
In this report, the Global Secure Multiparty Computation (SMPC) Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Secure Multiparty Computation (SMPC) Market.
Global Secure Multiparty Computation (SMPC) Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: