Post-Quantum Cryptography (PQC) Market Drivers, Trends, and Forecast by 2031

The Post-Quantum Cryptography (PQC) Market is expected to register a CAGR of 45.2% from 2025 to 2031, with a market size expanding from US$ XX million in 2024 to US$ XX Million by 2031.

The report is segmented by Component (Software, Services); Deployment (Cloud, On Premises); Enterprise Size (SMEs, Large Enterprises): Industry vertical (BFSI, IT and Telcom, Government, Healthcare, Manufacturing, Others). The global analysis is further broken-down at regional level and major countries. The report offers the value in USD for the above analysis and segments.

Purpose of the Report

The report Post-Quantum Cryptography (PQC) Market by The Insight Partners aims to describe the present landscape and future growth, top driving factors, challenges, and opportunities. This will provide insights to various business stakeholders, such as:

• Technology Providers/Manufacturers: To understand the evolving market dynamics and know the potential growth opportunities, enabling them to make informed strategic decisions.
• Investors: To conduct a comprehensive trend analysis regarding the market growth rate, market financial projections, and opportunities that exist across the value chain.
• Regulatory bodies: To regulate policies and police activities in the market with the aim of minimizing abuse, preserving investor trust and confidence, and upholding the integrity and stability of the market.

Post-Quantum Cryptography (PQC) Market Segmentation

Component

• Software
• Services

Deployment

• Cloud
• On Premises

Enterprise Size

• SMEs
• Large Enterprises

Industry vertical

• BFSI
• IT and Telcom
• Government
• Healthcare
• Manufacturing

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Post-Quantum Cryptography (PQC) Market Growth Drivers

• Rising Demand for AI Governance: The increasing complexity and scale of AI deployments across enterprises has created an urgent need for robust model operations and governance frameworks. Organizations are grappling with managing hundreds of models across different stages of development, deployment, and monitoring. This driver is particularly strong in regulated industries where model transparency, fairness, and accountability are crucial. The need to maintain compliance while scaling AI initiatives has made ModelOps essential for tracking model lineage, versions, and performance metrics. Companies are investing in ModelOps platforms to establish standardized processes for model lifecycle management and ensure responsible AI deployment.
• Growing Need for Model Scalability: The exponential growth in AI model deployment and the need to scale models across different environments is driving ModelOps adoption. Organizations require robust infrastructure to manage the increasing complexity of deploying models from development to production while maintaining performance and reliability. This driver is amplified by the diversity of deployment environments, from cloud to edge, and the need to optimize models for different hardware configurations. Companies are seeking ModelOps solutions that can automate deployment processes, handle model versioning, and ensure consistent performance across various platforms.
• Increasing Focus on Model Performance Monitoring: The critical importance of maintaining model accuracy and performance in production environments is driving ModelOps investments. Organizations need to continuously monitor model behavior, detect drift, and manage model updates efficiently. This driver is particularly relevant as models face evolving data patterns and changing business conditions. The need to track model health, identify performance degradation, and implement timely updates has become essential for maintaining reliable AI systems. Companies are adopting ModelOps to establish systematic approaches to model monitoring and maintenance.

Post-Quantum Cryptography (PQC) Market Future Trends

• Evolution of Automated Model Lifecycle Management: The integration of automation across the entire model lifecycle is emerging as a significant trend in ModelOps. Platforms are increasingly incorporating automated testing, deployment, monitoring, and retraining capabilities. This trend is enabling more efficient model operations with reduced manual intervention. The ability to automate routine tasks while maintaining control over critical decisions is transforming how organizations manage their AI models. This automation extends to model validation, performance monitoring, and update processes, creating more streamlined and reliable model operations.
• Advancement in Model Risk Management: The development of sophisticated model risk management capabilities within ModelOps platforms represents a transformative trend. Organizations are increasingly focusing on understanding and mitigating risks associated with AI models in production. This trend is driven by regulatory requirements and the need for responsible AI practices. The integration of risk assessment, bias detection, and compliance monitoring into ModelOps workflows is becoming standard practice, enabling organizations to maintain control over their AI deployments while meeting regulatory requirements.

Post-Quantum Cryptography (PQC) Market Opportunities

• Expansion of Cross-Platform Integration: There's significant opportunity in developing ModelOps solutions that can seamlessly integrate with diverse development and deployment platforms. As organizations adopt multiple AI frameworks and deployment environments, the need for unified ModelOps solutions becomes critical. This opportunity includes creating standardized interfaces for model deployment across different cloud providers, edge devices, and on-premises infrastructure. The potential to simplify complex model operations across heterogeneous environments represents a valuable market segment.
• Innovation in Model Observability: The growing need for deep model observability presents a substantial opportunity in the ModelOps market. Organizations require sophisticated capabilities to understand model behavior, explain decisions, and track performance metrics. This opportunity extends to developing advanced monitoring tools that can provide insights into model health, detect anomalies, and predict potential issues before they impact business operations. The development of comprehensive observability solutions that combine technical and business metrics represents a significant growth area.

Post-Quantum Cryptography (PQC) Market Regional Insights

The regional trends and factors influencing the Post-Quantum Cryptography (PQC) Market throughout the forecast period have been thoroughly explained by the analysts at Insight Partners. This section also discusses Post-Quantum Cryptography (PQC) Market segments and geography across North America, Europe, Asia Pacific, Middle East and Africa, and South and Central America.

Post-Quantum Cryptography (PQC) Market Report Scope

Post-Quantum Cryptography (PQC) Market Players Density: Understanding Its Impact on Business Dynamics

The Post-Quantum Cryptography (PQC) Market market is growing rapidly, driven by increasing end-user demand due to factors such as evolving consumer preferences, technological advancements, and greater awareness of the product's benefits. As demand rises, businesses are expanding their offerings, innovating to meet consumer needs, and capitalizing on emerging trends, which further fuels market growth.

Market players density refers to the distribution of firms or companies operating within a particular market or industry. It indicates how many competitors (market players) are present in a given market space relative to its size or total market value.

Major Companies operating in the Post-Quantum Cryptography (PQC) Market are:

1. NXP Semiconductor
2. Thales SA
3. AWS
4. IDEMIA
5. Palo Alto Networks
6. Digicert

Disclaimer: The companies listed above are not ranked in any particular order.

Key Selling Points

• Comprehensive Coverage: The report comprehensively covers the analysis of products, services, types, and end users of the Post-Quantum Cryptography (PQC) Market, providing a holistic landscape.
• Expert Analysis: The report is compiled based on the in-depth understanding of industry experts and analysts.
• Up-to-date Information: The report assures business relevance due to its coverage of recent information and data trends.
• Customization Options: This report can be customized to cater to specific client requirements and suit the business strategies aptly.

The research report on the Post-Quantum Cryptography (PQC) Market can, therefore, help spearhead the trail of decoding and understanding the industry scenario and growth prospects. Although there can be a few valid concerns, the overall benefits of this report tend to outweigh the disadvantages.