The Nigeria Data Protection Commission (NDPC) says more than 40,000 data controllers and processors have been registered in Nigeria within the last three years, underscoring the rapid expansion of the country’s data protection ecosystem as digital adoption accelerates across sectors.
The disclosure was made by Dr. Vincent Olatunji, National Commissioner and Chief Executive Officer of the NDPC, during an Executive Regulatory Address titled “From Awareness to Accountability: Strengthening Data Protection Compliance in Nigeria’s Digital Economy” at the 15th West Africa Convergence Conference (WACC) 2026.
Olatunji says the commission has also launched a new Virtual Privacy Academy, onboarding more than 60,000 learners onto the digital training platform as part of efforts to address the country’s growing demand for privacy professionals.
Dr. Vincent Olatunji, National Commissioner and Chief Executive Officer of the NDPC, is seen in the photo. The Nigeria Data Protection Commission (NDPC) says more than 40,000 data controllers and processors have been registered in Nigeria within the last three years, underscoring the rapid expansion of the country’s data protection ecosystem as digital adoption accelerates across sectors.
“We noticed that the level of awareness among the Nigerian population was very low,” he says, noting that many Nigerians routinely share sensitive information such as names, telephone numbers, residential addresses, bank account details and passport information without fully understanding the implications.
According to him, Nigeria currently has more than 10,000 major data controllers and processors, creating increasing demand for skilled professionals capable of supporting compliance with the Nigeria Data Protection Act (NDPA) 2023.
The NDPC CEO says the Commission has helped create more than 27,000 jobs within Nigeria’s emerging data protection ecosystem.
NDPC expands data privacy workforce pipeline
The newly-launched Virtual Privacy Academy represents the next phase of the Commission’s nationwide capacity-building strategy.
Designed as a self-paced, Nollywood-themed digital learning platform, the academy enables users to learn about data privacy and protection remotely, extending learning opportunities beyond traditional classroom and industrial training programmes.
“The next phase is the Virtual Privacy Academy,” Olatunji says, describing it as a time-saving platform that allows participants to continue learning beyond physical training sessions.
According to him, more than 60,000 people have already been onboarded onto the platform as the Commission scales privacy education across Nigeria.
The initiative builds on NDPC’s broader awareness campaign aimed at addressing shortages in data protection expertise while equipping organisations with the skills required to comply with Nigeria’s evolving privacy regulations.
Olatunji says the Commission has also domesticated professional certification programmes, with about 1,500 Data Protection Officers (DPOs) already certified.
The Commission is further expanding its Digital Privacy Awareness Campaign across tertiary institutions and establishing privacy clubs to educate students about their privacy rights while encouraging careers in data protection.
“This is an ecosystem where professionals are being looked at all over the world,” Olatunji says. “They are looking for data protection professionals all over the world.”
Digital trust critical to Nigeria’s economy
According to the NDPC boss, building trust in Nigeria’s digital economy begins with ensuring that citizens are confident that their personal information is adequately protected.
“Today,” Olatunji says, “it is your right to ensure that whoever collects and processes your data puts in place appropriate measures in terms of technical measures, in terms of organisational measures to ensure that your data is always protected.”
The NDPC chief notes that awareness and human capital development remain central to the Commission’s strategy after identifying low levels of public awareness regarding privacy rights.
“We noticed that the level of awareness among the Nigerian population was very low,” he says, noting that many Nigerians routinely share sensitive information such as names, telephone numbers, residential addresses, bank account details and passport information without fully understanding the implications.
The Nigeria Data Protection Commission (NDPC) says more than 40,000 data controllers and processors have been registered in Nigeria within the last three years, underscoring the rapid expansion of the country’s data protection ecosystem as digital adoption accelerates across sectors. Image credit: Image FX.
Olatunji warns that cyber threats have become increasingly sophisticated, with digital security now playing a central role in national security. “National security is now a digital security matter. Wars are not fought physically anymore. Wars are fought digitally, online,” he says.
NDPC records thousands of cyber attacks weekly
Beyond awareness, the Commission is increasingly positioning data protection as a critical component of Nigeria’s cybersecurity architecture.
Olatunji warns that cyber threats have become increasingly sophisticated, with digital security now playing a central role in national security.
“National security is now a digital security matter. Wars are not fought physically anymore. Wars are fought digitally, online,” he says.
The NDPC itself experiences persistent cyber threats, according to Olatunji, who reveals that the Commission records more than 4,000 attempted cyber attacks on its network in a single week.
He also links strong privacy and data governance frameworks to economic competitiveness, saying countries with credible data protection regimes are increasingly better positioned to attract foreign investment and participate in the global digital economy.
“A lot of foreign investors are looking for organisations to have the data protection law and an independent data protection authority,” he says.
Olatunji urges organisations to view privacy compliance not merely as a legal obligation but as a strategic business enabler capable of strengthening customer trust, supporting innovation and driving economic growth.
“The next phase is to strengthen awareness and accountability across all sectors. By doing so, we will strengthen trust, enable innovation, drive economic growth, and secure the future of the digital economy,” he says.
Established under the Nigeria Data Protection Act (NDPA) 2023, the NDPC has since expanded enforcement activities, issued implementation guidelines and licensed Data Protection Compliance Organisations (DPCOs) as part of efforts to strengthen Nigeria’s data protection regime.
The commission was also recognised in the Institutional Recognition Category of the 50 Most Influential Figures in Nigeria’s Digital Economy at WACC 2026, NDPC adds.
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Sovereign Trust Insurance Plc alhas received its RecapitalisationCertificate from the National Insurance Commission (NAICOM), marking a significant milestone in the Company’s ongoing growth and transformation journey.
The certificate, issued following the Company’s successful compliance with the recapitalisation requirements of the National Insurance Commission, further reinforces Sovereign Trust Insurance Plc’s financial capacity, operational resilience and commitment to delivering sustainable value to its policyholders and other stakeholders.
Speaking on the development, the Managing Director/Chief Executive Officer of Sovereign Trust Insurance Plc, Dr. Lucas Durojaiye, expressed delight at the milestone, describing it as a testament to the Company’s resilience, strategic focus and the confidence of its stakeholders.
“The receipt of our recapitalisation certificate from NAICOM is a significant milestone for Sovereign Trust Insurance Plc. It reflects the strength of our business, the confidence of our shareholders and the dedication of our Board and employees to building a stronger and more resilient insurance institution.
“This achievement positions us for the next phase of our growth journey. We remain committed to strengthening our capacity to underwrite risks, deepening our market presence, enhancing our service delivery and creating greater value for our policyholders and stakeholders.
The recapitalisation milestone also underscores STI’s commitment to supporting the development of Nigeria’s insurance industry by maintaining strong corporate governance, improving operational efficiency and providing innovative insurance solutions that respond to the evolving needs of individuals, businesses and institutions.
With the certification, Sovereign Trust Insurance Plc is poised to further leverage its strengthened capital base to pursue strategic growth opportunities, enhance its underwriting capacity and reinforce its position as a trusted partner in risk management.
The Company appreciates its shareholders, Board of Directors, management, staff, regulators, business partners, brokers, agents, customers and other stakeholders for their continued confidence and support throughout the recapitalization process.
The BPO industry has embraced AI as a technology capable of improving operational efficiency, enhancing customer experiences, and supporting business growth. But inside South African call centres, the opposite is quietly happening.
As AI tools become deeply embedded into customer engagement environments, many operators are discovering that the real cost of AI is not the software licence – it’s the infrastructure required to run it.
From voice neutralisation software and real time call assistance to AI driven first line support and live agent coaching, the processing demands inside modern BPO environments have increased dramatically over the past 18 months.
What many providers underestimated was the backend impact. AI does not run for free. It requires compute power, memory, networking throughput, low latency environments, and increasingly expensive infrastructure to support it at scale.
The result is that many BPOs are now facing a difficult and expensive decision. One approach is to run AI workloads directly on endpoint devices. This means moving away from standard workstation deployments toward higher specification machines capable of handling AI assisted applications locally.
In practical terms, this is driving a noticeable shift away from traditional Intel i5 deployments toward growing demand for i7 powered devices on the call centre floor. AI enhanced workloads are forcing hardware upgrades far earlier than many refresh cycles originally planned for.
The second option is to keep endpoint devices relatively standard while shifting the AI processing burden into the backend environment. In this model, AI applications and workloads are hosted centrally on servers, reducing the processing demand on the user device itself. While this avoids large scale desktop upgrades, it introduces a different problem – significantly increased server infrastructure requirements.
This is where many BPOs are starting to feel the financial pressure. Backend server environments capable of supporting AI driven workloads require substantially higher compute density, increased storage performance, more advanced networking, and far greater scalability than traditional call centre infrastructure.
The cost of expanding on premises server stacks to accommodate these workloads is rising rapidly, particularly as demand for AI capable hardware continues to grow globally.
According to Gartner, worldwide spending on AI optimised servers is accelerating sharply as organisations race to support enterprise AI workloads, contributing to overall global IT spending reaching $6.15 trillion in 2026.
The third route many organisations are exploring is moving AI infrastructure off premises entirely through hyperscale providers such as Amazon Web Services or colocation environments like Teraco. In this model, the infrastructure is rented rather than owned, with AI workloads hosted externally and delivered to the BPO environment through cloud or hosted platforms.
While this removes the burden of large upfront infrastructure investment, it introduces ongoing rental and operational expenditure costs that must be managed carefully over time. For some BPOs, this creates far greater flexibility. For others, especially those operating at scale with strict latency and compliance requirements, the long-term cost equation becomes more complex.
What is becoming increasingly clear is that AI is fundamentally changing the economics of the BPO industry. For years, cost optimisation in call centres focused largely on labour efficiency. Today, infrastructure efficiency is becoming equally important.
The conversation is shifting from simply how many agents a BPO can support, to how much compute power it takes to support them effectively in an AI enabled environment. This is why the traditional procurement model is coming under pressure. Many operators still attempt to purchase server infrastructure outright through large capital expenditure projects.
But in a market where AI workloads are evolving rapidly, hardware demands are changing constantly, and infrastructure pricing remains volatile, locking large amounts of capital into fixed infrastructure is becoming increasingly risky.
A growing number of BPOs are instead exploring leasing and rental models for backend AI infrastructure. Rather than purchasing expensive server environments upfront, providers can deploy infrastructure through operational expenditure models that spread costs over time while maintaining flexibility as AI requirements evolve.
This approach also reduces the risk of overinvesting in hardware that may become insufficient or obsolete far sooner than traditional infrastructure cycles allowed for. In an AI driven environment, scalability and adaptability are becoming more valuable than ownership itself.
The uncomfortable reality is that AI is not automatically reducing operational costs inside BPOs. In many cases, it is increasing them. The difference is that the costs are shifting away from people and moving into infrastructure.
That changes everything, because the next competitive battle in the BPO industry may not be about who has the cheapest labour model. It may be about who can afford to power AI at scale.
About author: Sanjay Govender is Head of GBS/BPO Solutions at Qrent.
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