Top Automated Border Control Companies

Global Automated Border Control Market size was valued at USD 2.38 Billion in 2024 and is poised to grow from USD 2.7 Billion in 2025 to USD 7.32 Billion by 2033, growing at a CAGR of 13.3% during the forecast period (2026–2033).

The global automated border control industry is becoming increasingly dynamic, with global players such as Thales Group, IDEMIA, NEC Corporation, Vision-Box, and SITA leading the charge. These companies are leveraging advanced biometrics, artificial intelligence, and machine learning to deliver smarter, faster, and more secure border solutions. Their strategies revolve around end-to-end border automation, seamless integration with immigration systems, and strong data privacy compliance. One notable example is Vision-Box, which partnered with the UK Home Office and Heathrow Airport in 2024 to roll out a fully biometric-based ABC ecosystem. The strategy was to enhance passenger throughput while ensuring security and GDPR compliance. 'Thales Group (France) ', 'Secunet Security Networks AG (Germany) ', 'NEC Corporation (Japan) ', 'Veridos GmbH (Germany) ', 'Gunnebo AB (Sweden) ', 'Indra Sistemas S.A. (Spain) ', 'Accenture plc (Ireland) ', 'DERMALOG Identification Systems GmbH (Germany) ', 'HID Global Corporation (U.S.) ', 'Magnetic Autocontrol GmbH (Germany) ', 'IER SAS (France) ', 'M2SYS Technology (U.S.) ', 'Securiport LLC (U.S.) ', 'BioLink Solutions (Russia)'

The rise in international travel both for business and leisure has placed immense pressure on border management authorities to process large volumes of passengers efficiently. Automated Border Control systems enable faster identity verification through biometric eGates and kiosks, reducing long queues and wait times. Countries like the UAE and Singapore have already deployed facial recognition-based ABC systems at major airports to streamline entry/exit procedures.

Rise of AI-Powered Risk Assessment and Decision-Making: ABC systems are evolving beyond identity verification—they are now incorporating real-time AI-based analytics to assess traveler behavior, scan for forged documents, and identify high-risk profiles. AI models trained on historical immigration data can detect suspicious travel patterns or inconsistencies and raise alerts for further inspection. For example, Germany’s border control pilot programs now include AI algorithms that assess traveler risk scores based on past travel history, reducing unnecessary delays for low-risk passengers and enhancing targeted enforcement.

North America is at the forefront of adopting cutting-edge biometric and AI technologies to modernize its border control infrastructure. With high international travel volume, the region emphasizes speed, security, and seamless traveler experience. Government initiatives like the U.S. CBP’s Biometric Entry-Exit Program and Canada’s Digital Border Strategy are fueling robust investments in eGates, self-service kiosks, and facial recognition systems.