Time flies.
We have reached the halfway point of 2026.
Looking back at the past six months, the iris recognition track is undergoing a quiet yet profound transformation — not a breakthrough in a single point of technology, but a systematic upgrade of overall market awareness.
This time, let us take stock at the mid-year mark.
I. Market: A Definite Growth Curve From Billions to Tens of Billions
Numbers speak the loudest.
According to the latest report from Precedence Research, the global iris recognition market is expected to reach $14.7 billion in 2026, with a compound annual growth rate (CAGR) of 17.6%, and is projected to exceed $63.3 billion by 2035. Data from The Business Research Company shows that the year-on-year growth rate from 2025 to 2026 hit 18.7%, marking it as a typical high-growth track.
Global iris recognition market: $14.7 billion in 2026, 17.6% CAGR, projected to exceed $63.3 billion by 2035. (Precedence Research, 2026)
This is not a forecast — it is a happening reality. Three core forces are driving this wave of growth:
First, government-led national identity infrastructure construction. Governments around the world are integrating biometric recognition into digital citizen identity systems. For border control, social security, and e-passports, the high precision and anti-forgery features of iris recognition make it a priority option for such scenarios.
Second, security upgrades in finance and critical infrastructure. The security boundaries of traditional passwords and SMS verification codes have been widely breached. Major financial institutions and critical facility operators are introducing biometrics as strong authentication factors, among which iris recognition occupies an important position due to its dual advantages of "liveness detection + high precision".
Third, new scenarios unleashed by AI integration. When iris recognition is combined with edge AI and large models, new application scenarios are emerging — non-cooperative recognition, long-distance identity verification, and multimodal fusion authentication. These scenarios were confined to laboratories three years ago; today, they have entered the productization stage.
II. Policy: From "Permitted" to "Required"
In the past, one of the biggest obstacles to iris recognition was policy uncertainty — data security, privacy protection, and compliance requirements caused many projects to stop at the pilot stage.
But in the first half of 2026, this situation has changed significantly.
The deepened implementation of China's Artificial Intelligence Law and supporting biometric data management regulations has provided a clear framework for compliance paths. The certification requirements for high-risk biometric systems under the EU AI Act have forced the industry to rapidly raise technical standards. The large-scale procurement budget of the U.S. federal government in border and national defense fields has directly driven the global iris recognition industry chain from the demand side.
The shift of policy from "permitted" to "required" means that former procurement doubts are dissipating, and the window of "first-mover advantage" is opening. Enterprises that have laid out in advance and have mature products and compliance capabilities will gain excess dividends.
III. Technology: The Real Moat Lies at the Intersection of Algorithms and Chips
As the market expands, more players are entering the fray. But where is the real moat?
We observe a clear differentiation trend: enterprises that only do system integration and rely on third-party algorithms are facing increasing scrutiny today, as customers value independent controllability and long-term reliability more than ever.
The real barrier lies in the simultaneous possession of self-developed algorithm capabilities and hardware implementation capabilities. This is exactly the path Homsh has taken for 14 years.
Phaselirs™ Iris Recognition Algorithm — With a recognition accuracy on the order of one in a billion and world-class performance continuously verified by the NIST IREX series of evaluations, it is the foundation at the algorithm level. It does not rely on any third-party algorithm authorization, which means there is no risk of being "choked off" in product delivery.
Qianxin Series FPGA Intelligent Chips — They solidify core algorithms into hardware, achieve millisecond-level response at the edge, do not rely on the cloud, and meet the stringent requirements of scenarios with network outages, strong real-time performance, and high security levels. This is a leap from "software capability" to "hardware capability", and also a threshold that most competitors cannot cross.
OVAI™ Edge AI Platform — Built on Qianxin chips, it integrates multimodal capabilities such as iris recognition, facial recognition, and liveness detection, providing a complete edge AI identity verification solution. It features an integrated design, rapid deployment, stability and reliability.
Three-Layer Capability Vertical Integration
Algorithm (Phaselirs™) → Chip (Qianxin) → Platform (OVAI™) — from the underlying mathematical model to the top-level scenario-based products, Homsh has built a complete independently controllable technology stack, with nearly 300 intellectual property rights covering the entire chain.
IV. What We Are Watching in the Second Half of the Year
Standing at the midpoint of 2026, several directions deserve special attention:
Deepened implementation of government affairs digitalization. Government service platforms in multiple provinces and cities across China are advancing the upgrade of biometric authentication, and the priority position of iris recognition in "high security + strong compliance" scenarios will be further established.
Global expansion of travel and border control. Automated airport border inspection and cross-border travel identity verification are becoming one of the largest-scale iris recognition application scenarios in global deployment. Chinese enterprises have obvious international competitive advantages in terms of technical accumulation and product maturity in this field.
Biometric substitution process in financial technology. The security of the traditional password system is being constantly questioned. Password-free, strong-authentication financial security infrastructure will accelerate the introduction of iris recognition as a core authentication factor.
New product forms brought by edge AI integration. When iris recognition is no longer an "independent module" but one of the built-in capabilities of edge AI systems, the imagination space for applications will expand significantly. The OVAI™ platform is exactly the productized implementation of this trend.
Conclusion: We Have Been Waiting Here for a Long Time
In 2026, the opportunity for the iris recognition industry is not "likely to emerge" — it is "being realized".
Market awareness has matured, policy paths are clear, and technical standards have been raised.
At this juncture, Homsh is ready. Phaselirs™, Qianxin, OVAI™ — these three trump cards have been polished by us for 14 years.
The first half has passed. In the second half, let us witness it together.
