Automated Border Control Market Size

Global Automated Border Control Market size was valued at USD 2.1 billion in 2023 and is poised to grow from USD 2.38 billion in 2024 to USD 6.46 billion by 2032, growing at a CAGR of 13.3% in the forecast period (2025-2032).

The global automated border control market is undergoing a rapid transformation fueled by the rising need for efficient, secure, and contactless border crossings. Increasing global air travel, tightening immigration security, and the push for seamless passenger experience are key factors propelling global automated border control market growth.

Governments worldwide are turning to biometric technologies such as facial recognition, fingerprint scanning, and iris recognition, integrated with AI-powered identity verification systems, to modernize border control operations. For instance, in April 2024, the U.S. Customs and Border Protection (CBP) expanded its Biometric Entry-Exit Program at major international airports, enabling automated facial recognition checkpoints that reduce wait times by up to 40%. In Europe, the EU’s Entry/Exit System (EES), launched in 2024, mandates the use of biometric eGates across all Schengen countries, reinforcing standardized and secure travel. Meanwhile, Asia Pacific nations like India rolled out DigiYatra, a facial recognition-based boarding system, to improve speed and transparency in air travel. Automated border control systems eliminated the time-consuming procedures of filling out a paper Customs declaration form and manual verification. Passengers need to scan their passport, take a photograph using the kiosk, and answer inspection related questions verifying biographic and flight information which takes a few minutes to process saving a lot of time and ease out the management at airports. Factors such as increased traffic at airports, increased risk of illegal activities across borders and need for time saving security procedures contribute to driving the growth of this market.

How Is AI Revolutionizing Border Surveillance and Threat Detection?

AI-powered surveillance systems have been instrumental in improving the monitoring of border areas. For instance, the U.S. Customs and Border Protection (CBP) has developed AI-driven systems capable of automating the scanning of individuals attempting to cross into the United States. These systems analyze vast amounts of data in real-time to identify potential threats, thereby augmenting the capabilities of border patrol agents. The implementation of AI has also streamlined the processing of travelers at border checkpoints. AI-driven risk assessment tools assist immigration officers by detecting anomalies that may indicate fraudulent travel histories or smuggling activities. This not only enhances security but also expedites the clearance process for legitimate travelers, contributing to a more efficient border control system. In 2024, legislative efforts were made to further integrate AI into border security operations. A bipartisan proposal in the U.S. aimed to address capability gaps at border crossings by mandating the Department of Homeland Security (DHS) to develop a comprehensive plan for incorporating AI, machine learning, biometrics, and nanotechnology into border control. This initiative underscores the growing recognition of AI's potential to enhance border security measures.

Which Emerging Startups Are Reshaping the Future of Automated Border Control?

In today’s era of heightened travel, security, and digital transformation, startups are stepping in to modernize and streamline border management through cutting-edge technologies. These agile innovators are leveraging Artificial Intelligence (AI), biometrics, and cloud infrastructure to enhance identity verification, reduce processing times, and improve border safety. With global airports and border agencies seeking efficient, contactless solutions, startups are not only filling critical technological gaps but are also setting new standards for automated border control systems.

• Zamna: Founded in 2016 and headquartered in London, Zamna is a forward-thinking startup transforming identity verification within the Automated Border Control (ABC) ecosystem. Originally launched as VChain, the company has developed an AI-based platform that enables airlines and border agencies to verify passenger identities using secure, blockchain-backed data—before they even reach the airport. By leveraging AI to cross-check and validate passenger information in real time, Zamna helps authorities reduce manual document inspections and improve security outcomes. In 2024, Zamna partnered with several international airports across the Middle East and Europe to pilot its AI-powered pre-clearance platform. The initiative resulted in a 30% improvement in passenger throughput and significant enhancements in border data accuracy. The startup’s technology not only streamlines traveler experiences but also ensures robust compliance with international border control regulations.

• Veridos AI: Founded in 2018, Veridos AI is a Berlin-based startup and a tech-forward offshoot of Veridos GmbH. The company specializes in embedding machine learning and computer vision into traditional border control infrastructure, offering a smarter, more responsive approach to identity verification. Veridos AI has gained recognition for its adaptive biometric systems, which are capable of identifying travelers under varied lighting, angles, and facial changes, helping reduce false negatives and improve processing accuracy. In 2024, Veridos AI introduced its “Adaptive eGates” at major international airports across Southeast Asia. These gates, equipped with AI-enhanced facial recognition and behavioral analytics, adapt dynamically to real-world conditions resulting in a 40% reduction in processing time and a facial recognition success rate of 98.7%. The innovation marks a significant step in making border control not only faster but also smarter and more inclusive.