Supply chains are where the shift became impossible to ignore first. The disruptions of the early 2020s — pandemic-driven shortages, Red Sea rerouting, tariff shocks — exposed something fundamental: global supply networks had been optimised for efficiency at the expense of resilience, and the tools organisations used to manage them were almost entirely retrospective. They could tell you what had gone wrong. They could not tell you what was about to.

AI-powered control towers are now integrating procurement, manufacturing, and logistics data — using machine learning algorithms to ingest external signals including weather patterns, port congestion, and social media sentiment to predict disruptions before they materialise physically. The shift from reactive to predictive is not incremental. It represents a different category of capability entirely, and enterprises that have made the transition are operating with a structural advantage over those still running quarterly risk reviews.

Geopolitics has added urgency. Geopolitical risks are elevated as 2026 gets underway, with accelerating fragmentation and shifts in major economic relationships exposing new fractures across global business. The World Economic Forum’s Global Risks Report characterises 2025–2026 as a period of unprecedented risk interconnections, with state-based conflict, geo-economic confrontation and cyber threats ranking among the primary immediate concerns for organisations globally. For risk management technology, this is not headwind — it is the demand signal that has been building for years.

The financial dimension compounds this. European businesses in particular operate in an environment shaped by geopolitical tensions, supply chain disruptions, and financial market volatility — interconnected pressures that are compelling organisations to adopt advanced risk management solutions at an accelerating pace. The global risk management software market was valued at $12.3 billion in 2020 and is projected to reach $21.2 billion by 2026 — growth that reflects genuine enterprise need rather than speculative adoption.

The technology gap that existed five years ago — when the need was clear but the tooling was not — is closing. AI-driven scenario analysis, automated risk reporting and integration of risk signals across previously siloed systems are moving from experimentation to operational deployment. The constraint today is less about what the technology can do and more about organisational readiness: data governance, integration architecture and the willingness to treat risk management as a strategic capability rather than an administrative one.

That transition is the real investment story. The organisations that move from periodic, fragmented risk processes to continuous, connected intelligence will not only be better protected — they will make faster, more confident decisions across every function that touches risk. In an environment where volatility is structural rather than cyclical, that is a material competitive advantage.

At Forthtech, risk management technology has been a core portfolio vertical from the outset — not because the market was easy, but because the need was undeniable. The companies building in this space have found that the world has moved decisively in their direction.