Nigeria’s tech scene produces founders, pitch decks, and SaaS demos at industrial scale. What it does not produce in matching volume is sustained, paying users or businesses that brings sustainable revenue when funding becomes scarce.

Sustaining most technology startups, especially the current wave of SaaS tools aimed at the “huge Nigerian market”, is frequently a waste of capital, time, and talent. The numbers and the lived experience of operators make this plain.

Based on the UN World Population Prospects 2024 medium-variant projection, Nigeria’s 2026 population is projected at about 242.4 million people, but this huge figure does not translate to an addressable software market. Nigeria’s population looks good on paper, but in reality, it is largely a distraction. Effective demand for paid software is constrained by its unenviable formal business density, willingness and ability to pay, digital readiness, infrastructure, and trust.

SMEs, which are the backbone of the Nigerian economy already illustrate the gap.

Before you start building an enterprise software for the Nigerian market, you must understand that unlike in developed countries like the United States, where fortune 500 companies are one of the major economic drivers, the reverse is the case for a country like Nigeria.

In Nigeria, the SME and informal sectors are the main economic players. The transportation industry, the food retail industry, and even the renewable energy industry, are dominated by small businesses who are mostly bootstrapped and largely sustained by tiny profit margins. SMEDAN describes SMEs as contributing nearly half of Nigeria’s GDP and being major drivers of employment. World Bank research has historically estimated that small-scale farmers account for the overwhelming majority of Nigerian agricultural production. That said, it’s safe to conclude that the entire agricultural food chain in Nigeria is sustained by smallholder farmers.

Nigerian microenterprises are far less digitally connected than mobile-phone ownership alone would suggest. A 2023 survey of 718 Nigerian microenterprises found that more than 80% owned a mobile phone, but only 13% used the internet for business activities. Smartphone ownership was 28%, meaning that access to a smartphone did not automatically translate into meaningful business internet use.

This matters when designing software for the Nigerian market. Many small businesses still operate primarily through phones, messaging apps like WhatsApp, cash, simple records and other informal workflows. Only 48% of the surveyed microenterprises had electricity at their business premises, while more than 90% said they or their employees had never received digital-skills training.

The wider connectivity picture reinforces this. GSMA estimates that around 130 million Nigerians were in the mobile-internet usage gap in 2024, they lived in areas where mobile broadband was available but were not using it. Affordability, smartphone costs, digital skills and the perceived relevance of online services are among the factors contributing to this gap.

That means software built around constant connectivity, desktop workflows, sophisticated accounting systems or recurring card payments can encounter significant friction in this market. For many Nigerian businesses, the better starting point is mobile-first, lightweight, low-bandwidth and tolerant of unreliable power and connectivity.

Enterprise and SMB SaaS faces a thinner formal market than founders assume. As one analyst put it bluntly on X: enterprise tech is not a scalable segment for most Nigerian startups because there are not enough formal businesses, and even fewer willing to pay. Founders repeatedly discover that “people love the idea” does not equal “people will pay and keep paying.”

What Are Your Chances?

Recent data on Nigerian startups founded in the last decade is damning for the “just sustain it” thesis. According to Business Day in a 2024 report, roughly 49% of Nigerian Startups generate less than ₦10 million in annual revenue. Only about 15% clear ₦250 million (~$149,000 at prevailing rates around the report). Over half report they are not profitable. Access to finance, marketing reach, weak revenue models, and policy friction rank as top barriers.

Failure and shutdown rates compound the picture. Historical figures for Nigerian startups have sat around 61% in some studies; broader African estimates often cited near 85%. Between 2023 and 2025, dozens of African startups closed, with Nigeria accounting for a heavy share. Named casualties include Okra (raised over $16.5 million, shut down amid naira-driven cost pressures and returned capital), ThePeer, Edukoya, and others. Capital raised before failure across documented Nigerian cases has run into the tens and hundreds of millions of dollars. Funding itself contracted sharply after the 2021–2022 peaks (Nigerian tech funding fell from highs near $1 billion toward a few hundred million in subsequent years), turning the “sustain until Series A/B” plan into a funding cliff for many.

Cash and funding cliffs appear more frequently as failure modes in local patterns than in some global baselines. Unit economics that look tolerable in USD pitch decks break under naira volatility, high data and power costs, and customer acquisition that never becomes cheap.

The SaaS-specific friction: trust, payments, distribution, behaviour

SaaS in Nigeria does not fail primarily because the code is bad. Multiple founders and observers note the opposite: the code is often the easy part, and Agentic AI-assisted development has now made software development more accessible. Deployment, payments integration, and notifications are solvable. The hard problems are trust, distribution, resistance to behaviour change, and economics.

Users and merchants resist another dashboard. Payment infrastructure behaves differently from documentation. Customer acquisition costs more than models assume. People who praise the idea do not necessarily convert or retain. One founder summarised years of building: a technically excellent product can still be a terrible business; African founders need equal fluency in distribution, trust, behaviour, and economics. Another high-profile operator recounted a major content/product effort that sold fewer than five copies after years of work because marketing and distribution were under-resourced. “Build it and they will come” is a dangerous belief. Visibility is survival, not vanity.

SaaS-specific patterns include slow activation (sign-ups that never become real usage), pricing that assumes USD budgets in a market that thinks in daily naira costs, and the need for heavy hand-holding or field support that destroys software margins. Products priced or designed for San Francisco or even Nairobi assumptions often miss Lagos, Onitsha, or Kano realities. Certain experimental or high-trust products simply do not fit an economy with low tolerance for beta losses or long learning curves, payments and cross-border transfers have clearer existing demand pathways for a reason.

Foreign SaaS tools themselves become a cost trap for local startups: dollar-priced infrastructure, stack sprawl, and exchange-rate shocks turn “cheap free tiers” into margin killers. Local alternatives are scarce, locking teams into the same fragile economics they sell against.

Structural headwinds that capital cannot easily buy away

Power unreliability, data costs, fragmented payments, regulatory unpredictability, currency risk, and thin formal markets are not temporary bugs. They raise the cost of every customer and every month of operations. Governance failures and co-founder conflicts appear regularly in post-mortems, but even well-run teams hit the adoption and unit-economics wall. The funding winter simply revealed how many models required continuous capital rather than generating it.

The current surge in SaaS startups is predictable: barriers to building software have fallen, talent exists, and the narrative of “solve local problems at population scale” is seductive. Sustaining them is another matter. Without rapid proof of paying users who stay, the capital spent on burn, marketing that does not convert, and infrastructure that users cannot reliably access becomes a transfer from investors and founders to cloud providers, payment processors, and failed experiments.

What the evidence implies

This is not an argument against all Nigerian tech. Fintech successes that embedded into existing money movement, solved acute pain with high willingness to pay, and navigated regulation have scaled. A minority of startups clear meaningful revenue thresholds and reach profitability. My claim is narrower and sharper: for the median technology startup, particularly pure SaaS chasing broad adoption, sustaining operations past early traction is frequently value-destroying. Capital is better directed toward aggressive early validation (charge before you build extensively), ruthless focus on actual paying behaviour, or models that do not require continuous external fuel to stay alive.

Founders and investors who treat Nigeria’s population as a ready-made SaaS market, under-invest in distribution and trust, and plan to “sustain until the market catches up” are repeating a pattern the data and operator accounts already document. The waste is measurable in shutdowns, returned capital, low revenue cohorts, and years of founder effort that never compound.