Skip to main content

Artificial Intelligence for National Border Security

National border protection agencies are under pressure to provide the highest level of security in the face of growing threats, such as increasing illegal migration and international terrorism.

Now, government agencies are embracing advanced border security technologies to aid in effectively and reliably securing national borders.

These solutions look to detect and identify potential threats and prevent them from escalating to a point that may jeopardize security.

Security Surveillance Market Development

Traditional border security patrols and Closed-circuit Television (CCTV) surveillance systems aren't adequate protection, and agencies must increasingly deploy new solutions to stay ahead of criminals and other potential threats to ensure the safety of a country’s borders.

According to the latest market study by Juniper Research, the value of the border security technology market will exceed $70 billion globally in 2027 -- that's rising from $48 billion in 2022.

Growing by 47 percent during the forecast period, Juniper predicts that the adoption of AI‑integrated technologies, such as advanced surveillance systems, will be a key driver.

Border security agencies are using several technologies, including digital camera systems and perimeter intrusion detection systems, to automatically detect and identify illegal border crossers.

Juniper predicts that border perimeter security technologies will account for 36 percent of market revenue globally by 2027 -- that's up from 26 percent in 2022.

Juniper's analysts found that countries are increasingly seeking automated perimeter technologies to secure borders from the growing illegal movement of people by migrant traffickers.

"Growing political unrest and conflicts have increased illegal movement. Accordingly, vendors must highlight their solutions’ ability to automatically detect and track people attempting to cross borders when marketing their products," said Jordan Rookes, research analyst at Juniper Research.

Juniper also predicts that the adoption of AI-integrated surveillance towers will be critical to driving growth, with the total value of camera systems globally expected to reach $22.8 billion by 2027 -- that's up from $10.1 billion in 2022.

Border security surveillance towers are capable of creating a virtual border guard -- essentially monitoring, detecting, identifying, and tracking potential security threats over great distances.

Outlook for Surveillance Technology Apps Growth

However, these AI-integrated surveillance towers are at the center of growing concern by human rights groups, regarding their potential to analyze the behavior of a nation's legal citizen population.

These concerns may slow adoption. Security vendors must therefore ensure that privacy regulations, such as GDPR, are adhered to and the population is made aware of the data protection measures in place.

That said, I believe the illegal movement of migrants by human traffickers has become one of the toughest national security issues for government leaders to combat -- clearly, there is room for progress and all viable solutions should be considered.

Popular posts from this blog

Growing Venture Capital in APAC AI Market

Technology is a compelling catalyst for economic growth across the globe.  Artificial intelligence (AI) rides a seismic wave of transformation in the Asia-Pacific (APAC) region — a market bolstered by bold government initiatives, swelling pools of capital, and vibrant tech ambition. The latest IDC analysis sheds light on this dynamic market. Despite a contraction in deal volumes through 2024, total AI venture funding surged to an impressive $15.4 billion — a signal of the region’s resilience and the maturation of its digital-native businesses (DNBs). Asia-Pacific AI Market Development The APAC AI sector’s funding story is not just about headline numbers but also about how and where investments are shifting. Even as the number of deals slowed, the aggregate value of investments climbed, reflecting a preference among investors for fewer but larger, high-potential bets on mature or highly scalable AI enterprises. The information technology sector led the AI investment charge. Top area...