South africa’s VC scene matures with secondaries, AI surge

Launch Africa Ventures' recent sale of its Peach Payments stake underscores the burgeoning secondary market activity within South Africa's venture capital ecosystem, signaling a pivotal shift towards enhanced liquidity options for investors. This transaction exemplifies how secondary sales are becoming a vital exit route alongside traditional mergers and acquisitions, reflecting a maturing market where diverse fund structures—from mega-platforms to specialist funds—coexist to support a more fluid and nuanced investment landscape.

The rise of secondary transactions is largely driven by the elongation of private company lifecycles, which now span 10 to 15 years compared to the shorter windows of the PayPal era. This extension creates pressing liquidity demands among early shareholders and limited partners, making secondaries an attractive alternative that offers shorter time to liquidity and improved internal rates of return by allowing investors to bypass the traditional J curve associated with early-stage fund investments.

Drawing lessons from mature markets such as private equity and real estate, South Africa's venture capital sector is increasingly embracing secondary transactions as a viable and growing market segment. This evolution is evidenced by landmark deals and a clear diversification of exit pathways, which collectively indicate a shift toward a more liquid and sophisticated venture capital environment capable of supporting larger scale-ups and attracting international growth capital.

Amid a persistent venture capital funding slowdown across Africa, mergers and acquisitions have emerged as a strategic alternative for startups seeking scale, profitability, and extended financial runways. Rather than distress exits, M&A transactions are increasingly leveraged as deliberate growth tools that enable companies to acquire new customers, technology capabilities, and regulatory licenses across diverse African markets, reflecting a maturation in how founders and investors approach exits.

This strategic pivot towards M&A aligns with a broader shift in startup priorities from aggressive expansion to sustainable growth and operational efficiency. The State of Tech in Africa H1 2026 report highlights that startups are now focusing on market consolidation and efficiency, making acquisitions more attractive to both founders and investors as a means to accelerate scale and profitability in a capital-constrained environment.

South Africa exemplifies this trend with a maturing venture capital ecosystem where domestic mergers and acquisitions, especially in fintech, are gaining momentum. Notable deals such as Stitch’s acquisition of Efficacy Payments and Peach Payments’ purchase of Senegal-based PayDunya illustrate how startups leverage consolidation to deepen product offerings and expand regional footprints. These exits are delivering robust returns—median gross IRRs of 54% and MOICs of 3.5x—while creating thousands of jobs, underscoring M&A’s role as a viable and lucrative exit strategy.

AI is fundamentally reshaping South Africa's venture capital landscape by accelerating innovation cycles and enabling more precise, efficient dealmaking. As AI technologies automate complex processes like target identification, due diligence, and valuation, fintech and other growth-stage companies can sift through millions of potential acquisitions with unprecedented speed and accuracy, facilitating higher-value transactions. This trend is echoed globally, where AI is becoming an essential partner in mergers and acquisitions, reflecting a broader shift toward AI-driven investment strategies that enhance ecosystem maturity and diversification.

The rise of AI-native startups in South Africa is catalyzing a surge in venture funding and creating a vibrant pipeline of innovative companies that challenge traditional incumbents. Retail Capital founder Karl Westvig highlights that newer businesses are increasingly fully AI-native, attracting more venture capital and prompting larger firms to pursue acquisitions rather than internal development. This dynamic is evident in Stellenbosch, where AI companies struggle to hire data scientists fast enough, underscoring strong demand for talent and signaling rapid scaling potential within the ecosystem.

While AI dramatically lowers the barriers to entry for many startups by automating up to 80% of engineering tasks and reducing capital needs, it simultaneously drives a bifurcation in funding requirements. On one hand, numerous micro-startups emerge with minimal capital but significant revenue potential; on the other, the development of cutting-edge AI models demands massive investments, exemplified by OpenAI's substantial cash burn. This duality is prompting venture capital to evolve structurally and mechanically, fostering a more fluid and mature ecosystem capable of supporting diverse exit strategies and funding scales.