Autonomous enterprise models set to shape business competitiveness in 2026

SAP executives say AI-driven ERP and clean data foundations will separate industry leaders from laggards

The concept of the autonomous enterprise is moving from theory to execution, and could become a defining factor in corporate competitiveness in 2026. That is the view shared by SAP executives, who argue that organisations integrating enterprise resource planning (ERP), artificial intelligence and structured data architectures into their core operations are positioning themselves ahead of the curve.

Sunil Geness, Director of Global Government Affairs and CSR at SAP Africa, and Sergio Maccotta, Senior Vice President and General Manager for SAP Middle East and Africa, South, point to a growing shift toward business environments capable of sensing change, making decisions and executing processes with limited human intervention.

According to SAP, autonomous operating models are increasingly being implemented across finance, supply chain management and human resources functions in sectors ranging from energy to retail and manufacturing. In these environments, automation and AI augmentation are taking over a substantial share of operational workflows.

“This is made possible through AI embedded within enterprise resource planning processes, from finance and procurement to supply chain and HR systems, that understand context and act autonomously,” said Maccotta. “Self-optimising systems that learn, improve and adapt in real-time are matched to clean-core ERP architecture to give organisations simplified, cloud-based systems that drive profitability, reduce risk and enhance decision-making.”

Industry forecasts reinforce this momentum. SAP references projections from Grand View Research estimating that the global autonomous enterprise market could expand from approximately $49 billion in 2024 to more than $118 billion by 2030, with adoption accelerating across Europe, the Middle East and Africa. Although the term “autonomous enterprise” is not yet consistently used as a standalone category in market surveys, growth in AI deployment, ERP modernisation and intelligent agents reflects the broader shift toward autonomy.

In the Middle East and Africa region specifically, the market is expected to grow at a compound annual rate of 8.7%, reaching an estimated $10.2 billion by 2032. Broader projections suggest AI alone could contribute as much as $1.5 trillion to Africa’s economy by 2030 if the continent secures a 10% share of the global AI market.

“AI is enhancing efficiency and fostering innovation across industries, from automating routine tasks to enabling complex data analysis and providing predictive insights, while also improving decision-making and optimising business operations,” Geness said.

This article first appeared in ITWeb.

Beyond automation, SAP executives highlight data sovereignty as an increasingly critical consideration for organisations operating across Africa. As digital transformation efforts continue, companies are under growing pressure to balance global operational scale with local regulatory compliance and customer expectations.

“For multinational organisations and technology companies, success depends on the ability to localise without losing global efficiency, to build trust while maintaining innovation, and to invest strategically in infrastructure and partnerships that align with both regulatory demands and customer expectations,” Maccotta added.

Africa’s data centre market is forecast to surpass $9 billion by 2029, though it still represents a relatively small portion of global capacity. Against this backdrop, SAP leaders stress that autonomy should not be interpreted as workforce displacement. Instead, they argue it reshapes roles, shifting employees away from repetitive process management toward oversight, analysis and strategic decision-making.

For organisations seeking to transition toward autonomous models, Maccotta recommends beginning with core modernisation and establishing a reliable data foundation capable of supporting AI-driven innovation. He emphasises that technology alone is insufficient without a clear strategy, skilled talent and trusted partnerships.

“Remember that technology is only part of the story, and that the strategy, people and partners that businesses choose are as important to building a truly connected autonomous enterprise. Focus then on automating processes that protect revenue, improve cashflow or unlock capacity first, and take care to prepare people by prioritising reskilling and upskilling.

“Finally, collaborate with technology partners that act more as advisors than vendors, and can guide the process of redesigning core business processes for the AI era. True transformation happens when businesses combine intelligent systems with visionary leadership, skilled people and trusted partnerships.”