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市場調查報告書
商品編碼
1785363
安全多方計算市場-全球產業規模、佔有率、趨勢、機會和預測(按產品、部署模式、垂直產業、地區和競爭細分,2020-2030 年預測)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 年全球安全多方運算 (SMPC) 市值為 8.1104 億美元,預計到 2030 年將達到 15.3976 億美元,複合年成長率為 11.28%。全球安全多方運算 (SMPC) 市場圍繞著加密協定展開,該協定允許多方聯合計算其輸入的函數,而不會向彼此透露輸入。
市場概覽 | |
---|---|
預測期 | 2026-2030 |
2024年市場規模 | 8.1104億美元 |
2030年市場規模 | 15.3976億美元 |
2025-2030 年複合年成長率 | 11.28% |
成長最快的領域 | 資訊科技與 ITES |
最大的市場 | 北美洲 |
這項先進技術對於金融、醫療保健和國防等高度重視資料機密性和隱私性的產業至關重要。安全多方運算 (SMC) 可確保敏感資料保持私密,同時允許實體協作進行風險分析、詐欺偵測或研究等計算。隨著資料外洩問題日益嚴重、《一般資料保護規範》(GDPR) 等監管壓力以及網路威脅日益複雜,各組織正在優先考慮安全多方運算等加密解決方案。
全球安全多方運算 (SMPC) 市場的成長動力源於日益成長的資料隱私疑慮、對安全資料共享的需求不斷成長,以及去中心化和區塊鏈應用的日益普及。隨著企業向數位生態系統轉型,組織或部門之間對安全協作運算的需求日益凸顯。人工智慧、機器學習和巨量資料分析的擴展進一步加速了對安全多方運算的需求,因為這些技術通常需要存取大型敏感資料集。企業正在採用 SMPC 來實現隱私權保護運算,同時又不損害資料完整性或法規遵循。
由於密碼學研究的進步和技術提供者不斷增加的投資,全球安全多方運算 (SMPC) 市場預計將實現顯著成長。隱私增強技術的興起,加上安全供應商和產業參與者之間的策略合作夥伴關係,正在推動各行業採用 SMPC 解決方案。此外,雲端運算、多雲部署和混合式工作模式的普及也擴大了對安全運算協定的需求。隨著企業持續重視資料保護,安全多方運算將成為安全協作的關鍵推動因素,並在預測期內推動市場持續成長。
對資料隱私和保密性的擔憂日益加劇
全球安全多方運算 (SMPC) 市場中的高運算複雜性和效能瓶頸
安全多方運算與人工智慧和機器學習的融合
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 | |
---|---|
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: