Tanzania
Tanzania iGaming market in numbers
| Metric | 2025 | 2026 |
|---|---|---|
| Total GGR | $340m | $380m |
| Regulated GGR | $280m | - |
| Offshore GGR | $60m | - |
| Channelization | 82% | - |
| Mobile share | 85% | - |
| YoY growth | - | +12.0% |
| CAGR 2021–2026 | +14% | - |
Regulated and offshore split
Legal status by vertical
Operator's read on Tanzania
Tanzania is one of the more mature and well-run online gambling markets in East Africa, and an operator should read it as a stable growth market rather than a frontier. Online sports betting and casino are legal under a licence from the Gaming Board of Tanzania, with tax collected by the Tanzania Revenue Authority. The regulator is well-functioning and the market has grown steadily, which makes Tanzania a dependable entry for an operator with a genuine African thesis. The strategic point is that Tanzania rewards operators who build mobile-money-first and price the tax load correctly.
Mobile money is the entire payment story. Services such as M-Pesa and Tigo Pesa account for roughly 85% of transactions, and USSD deposits are standard. That makes mobile-money-native product design non-negotiable rather than a nice-to-have. An operator porting a card-first or European product into Tanzania will see conversion and retention suffer immediately, because the players transact through channels the product was not built for. Getting the mobile-money and USSD flows right is the single most important build decision.
The tax load is significant and about to grow. Online betting and casino gross gaming revenue is taxed at 25%, land-based casino GGR at 18%, and operators withhold 10% on players' net winnings. A 5% excise on stakes was proposed for FY2026/27, additive to the existing GGR regime rather than a replacement, so the effective burden is rising. An operator has to model the 25% GGR tax plus the incoming stake excise into pricing from the start, because the combination compresses margin and changes which player segments are worth acquiring.
The growth is real and the regulator is credible. Government gaming revenue roughly doubled between 2020/21 and 2024/25, and the Gaming Board has set rising collection targets, which reflects genuine expansion rather than a flat market. Incumbents include SportPesa, Premier Bet, betPawa and Betway, so the competitive set is established but the growth means there is room for operators who build well for the local player. A credible, well-run regulator also lowers the regulatory risk that complicates entry elsewhere in the region.
What winning looks like. Winning in Tanzania looks like a mobile-money and USSD-native product, pricing and bonus mechanics designed around the 25% GGR tax and the incoming stake excise, and a brand and retention investment that a growing market repays. The operators who do well commit to the local payment reality and the sports-led behaviour of the market rather than treating Tanzania as a place to test a ported product lightly.
The regional play. Tanzania pairs naturally with Kenya as an East African anchor, and sits in the broader African growth cluster alongside Ghana. It suits operators building a regional African operation who can share infrastructure across mobile-money markets, and how it fits that sequence is part of the multi-market sequencing piece.
The biggest mistake. The biggest mistake is entering Tanzania with a payment stack that is not mobile-money and USSD native, which undermines conversion from the first deposit. The related mistake is modelling the economics on the 25% GGR tax alone and being caught by the additional stake excise. Build mobile-money-first, price in the full tax load, and treat Tanzania as the stable growth market it genuinely is.
What's changing
Continued growth; well-functioning regulator.
Where these figures come from
- Tanzania GBT
- Statista
GGR figures are 2025 estimates or actuals where regulator data is available; 2026 projections drawn from the most recent published forecasts. Offshore figures are inherently more uncertain than regulated figures and should be treated as directional. Where reputable sources disagree materially the dataset uses the midpoint of the range.