세계의 안전한 다자간 연산(SMPC) 시장 규모는 2024년 8억 1,104만 달러였고, CAGR 11.28%로 확대되어 2030년까지 15억 3,976만 달러에 이를 것으로 예측됩니다.
세계의 안전한 다자간 연산 시장은 여러 당사자가 서로 입력을 밝히지 않고 입력에 대한 함수를 공동으로 계산할 수 있도록 해주는 암호화 프로토콜을 중심으로 배포됩니다.
| 시장 개요 | |
|---|---|
| 예측 기간 | 2026-2030년 |
| 시장 규모 : 2024년 | 8억 1,104만 달러 |
| 시장 규모 : 2030년 | 15억 3,976만 달러 |
| CAGR : 2025-2030년 | 11.28% |
| 급성장 부문 | IT 및 ITES |
| 최대 시장 | 북미 |
금융, 헬스케어, 방어 등 데이터의 기밀성과 프라이버시가 가장 중요시되는 산업에서는 이러한 첨단 기술이 필수적입니다. 안전한 다자간 연산은 위험 분석, 부정 행위 감지, 조사 연구 등의 계산을 공동으로 수행할 수 있도록 하면서 기밀 데이터를 안전하게 보호합니다. 데이터 유출, GDPR(EU 개인정보보호규정)과 같은 규제, 복잡해지는 사이버 위협에 대한 우려가 높아지고 있는 가운데, 기업은 안전한 다자간 연산과 같은 암호화 솔루션을 선호합니다.
세계의 안전한 다자간 연산 시장의 성장은 데이터 프라이버시에 대한 우려가 높아지고, 안전한 데이터 공유에 대한 요구가 높아지고, 분산형 및 블록체인 용도의 채용 확대가 원동력이 되고 있습니다. 비즈니스가 디지털 에코시스템으로 이동하는 동안 조직 간 및 부서 간 안전하고 협력적인 계산을 수행하는 요구 사항이 중요합니다. 인공지능, 머신러닝, 빅데이터 분석의 확대로 안전한 다자간 연산 수요가 더욱 가속화되고 있습니다. 이러한 기술은 종종 대규모의 민감한 데이터 세트에 대한 액세스가 필요하기 때문입니다. 기업은 SMPC를 채택하여 데이터 무결성이나 규제 준수를 손상시키지 않고 개인 정보를 보호하는 계산을 가능하게 합니다.
세계의 안전한 다자간 연산 시장은 암호화 연구의 진보와 기술 공급자의 투자 증가로 인해 큰 성장이 예상됩니다. 프라이버시를 강화하는 기술의 대두와 보안 벤더와 산업 진출기업의 전략적 제휴가 함께 SMPC 솔루션의 채용이 각 부문에서 촉진되고 있습니다. 또한 클라우드 컴퓨팅, 멀티클라우드 배포 및 하이브리드 워크 모델의 보급으로 보안 계산 프로토콜의 필요성이 커지고 있습니다. 기업이 데이터 보호를 선호하는 동안 안전한 다자간 연산은 보안 협업을 실현하는 열쇠가 되어 예측 기간 동안 시장 성장을 지속할 것으로 예측됩니다.
데이터 프라이버시와 기밀성에 대한 우려 증가
높은 계산 복잡성과 성능 병목 현상
안전한 다자간 연산과 인공지능과 머신러닝의 통합
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: