Nigeria has quietly built one of Africa’s most expansive AI-driven surveillance networks, committing more than $470 million to facial recognition and vehicle tracking systems.
The scale of that investment now places the country at the top of the continent’s spending league, according to a March 2026 study by the Institute of Development Studies.
Across 11 African countries reviewed in the report, total spending on smart surveillance is estimated at least $2.1 billion. Nigeria alone accounts for a substantial share of that figure, with roughly 10,000 cameras deployed across major urban centers.
“Nigeria alone has spent over US$470 million on AI-enabled facial recognition and automatic car number plate recognition (ANPR), making it Africa’s largest buyer of smart city surveillance technologies,” the report said.
On paper, the logic is straightforward. The systems are designed to identify suspects, track movement patterns, and support law enforcement in real time. In practice, the results are far less clear.
After years of deployment, the study found little evidence that the expansion of surveillance has translated into a measurable drop in crime.
“There is little evidence that the expansion of digital surveillance reduces overall crime,” the researchers said, noting that court records showed limited reliance on surveillance footage in prosecutions.
That disconnect has become harder to ignore in Nigeria, where insecurity remains persistent and, in some regions, worsening. Kidnappings, armed attacks, and organized criminal networks continue to stretch security agencies, even as the technological toolkit available to them has grown more sophisticated.
For many, the issue is not the absence of tools, but how they are used.
Peter Obi, the former governor of Anambra State, has been among those questioning the gap between capability and outcome, arguing that the country’s ability to track communications and movement has not been matched by effective enforcement. His criticism echoes a broader public frustration: that technology is being deployed without corresponding improvements in intelligence coordination or accountability.
Government officials point to a different challenge. Bosun Tijani, Minister of Communications, Innovation and Digital Economy, has said criminal networks are adapting faster than the systems designed to catch them, often operating outside conventional telecom channels or using methods that bypass standard tracking frameworks.
That adaptation speaks to a deeper structural issue. Surveillance systems generate vast amounts of data, but their effectiveness depends on the institutions that interpret and act on that data. Where intelligence sharing is fragmented, policing is under-resourced, and the judicial process is slow, the impact of even advanced technology can be muted.
Nigeria’s experience with the NIN-SIM linkage policy illustrates this tension. The programme was intended to make it harder for criminals to operate anonymously by tying mobile numbers to verified identities. While it has expanded the government’s data visibility, it has not eliminated the use of unregistered SIMs or alternative communication channels, limiting its effectiveness in high-risk cases.
The supply side of the surveillance buildout raises its own questions. Much of the infrastructure across Africa has been provided by Chinese companies, financed through soft loans. This model has enabled rapid deployment, but it also introduces long-term dependencies, from maintenance contracts to software updates and data management systems.
In Nigeria’s case, the reliance on external vendors reflects both cost considerations and the absence of a domestic manufacturing base for such technologies. It also mirrors a broader pattern in critical infrastructure, where speed of deployment often takes precedence over long-term control.
The legal framework has not kept pace.
The report found that none of the countries studied, including Nigeria, has a comprehensive set of laws governing the use of AI surveillance. That leaves a gap between the state’s expanding monitoring capabilities and the protections available to citizens.
Researchers called for clear legislation defining who can collect surveillance data and under what conditions, with judicial oversight to ensure actions are “legal, necessary, and proportionate.” They also recommended independent bodies to monitor usage, investigate abuses, and publish transparency reports.
Without those safeguards, the expansion of surveillance risks outpacing accountability.
There is also a question of economic prioritization. Surveillance systems are expensive to deploy and maintain, and their benefits are often indirect. In a country facing competing demands on public resources, the scale of spending has prompted debate about whether funds could have delivered greater impact if directed toward policing capacity, community intelligence, or judicial reform.
At the same time, officials argue that technology is an unavoidable part of modern security architecture. As crime becomes more networked and mobile, traditional methods alone are unlikely to suffice.
Nigeria’s investment reflects that belief. It is seen as an attempt to leapfrog constraints by adopting advanced tools at scale. But the evidence so far suggests that technology, on its own, does not resolve underlying institutional weaknesses.
The result is a system that is extensive but not yet decisive, because Across Africa, similar patterns are emerging. Countries are investing heavily in surveillance as part of broader “smart city” initiatives, often with external financing and limited public scrutiny. The benefits remain uncertain, while the risks, both financial and civil, are becoming clearer.
Nigeria stands at the center of that experiment as its $470 million outlay has built one of the continent’s largest surveillance networks. What remains unresolved is whether that network can deliver the security outcomes it was designed to achieve, or whether it will stand as an example of how technology, without reform, struggles to change entrenched realities.
