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 ReportThe 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
- Cloud
- On Premises
- SMEs
- Large Enterprises
- BFSI
- IT and Telcom
- Government
- Healthcare
- Manufacturing
Strategic Insights
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.
- 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.
- 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.
Market Report Scope
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.
REGIONAL FRAMEWORK
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- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
- Request discounts available for Start-Ups & Universities
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
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Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
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Frequently Asked Questions
Some of the customization options available based on the request are an additional 3–5 company profiles and country-specific analysis of 3–5 countries of your choice. Customizations are to be requested/discussed before making final order confirmation# as our team would review the same and check the feasibility
The report can be delivered in PDF/PPT format; we can also share excel dataset based on the request
Hybrid cryptographic implementations and industry-specific PQC solutions are anticipated to play a significant role in the global post-quantum cryptography (PQC) market in the coming years
Growing quantum computing threats and regulatory compliance requirements are the major factors driving the post-quantum cryptography (PQC) market
The global post-quantum cryptography (PQC) market is expected to grow at a CAGR of 45.2% during the forecast period 2024 - 2031.
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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