Market Formation: The Bridge Between Invention and Adoption

The Bottleneck Has Shifted

In the AI era, we are creating technologies faster than markets can absorb them. According to CB Insights, the most common reason technology startups fail is not technical — it is market-related: 35% cite "no market need" as a primary factor.^[1] Engineering capability has never been more abundant. The constraint is no longer only building. Increasingly, it is answering the harder question: what have we built, and for whom does it change everything?

This is the problem that market formation is designed to solve. Not messaging. Not positioning. Not go-to-market execution. Something more foundational — and more strategic.

The Translation Problem

Every significant technology shift creates a translation problem. Founders and CTOs often believe the hard part is building the capability. CROs often believe the hard part is selling it. But there is a missing layer in between — a discipline that neither role owns by default:

Geoffrey Moore identified a version of this gap in 1991 as "the chasm" — the treacherous distance between early adopters and mainstream adoption.^[2] What has changed since then is the pace. AI-native companies are crossing from zero to enterprise conversations in months, not years. The translation problem arrives faster than most organizations are structured to handle it.

What Market Formation Actually Is

Market formation is a strategic discipline. It is not the same as marketing, and it is not corporate communications. It is the work of turning technical possibility into customer reality, across five distinct domains:

This is why it is closest to corporate strategy, not marketing. It shapes what a company becomes — not just how it is described.

A Pattern Across Decades

The examples that make this concrete share a common structure. Each represents a moment where a technology shift contained a latent market structure that had to be discovered before it could be scaled.

SAP did not merely sell enterprise software. It redefined business processes as a category of technology investment — a shift so complete that ERP became a C-suite priority, not an IT line item. The technology existed. The category had to be built.^[3]

HERE Technologies and TomTom began as navigation hardware providers and map data vendors. The latent market structure was not turn-by-turn directions — it was location intelligence infrastructure for automotive OEMs, logistics platforms, and urban planners. The map became the reasoning layer. That realization defined a decade of platform strategy.^[4]

Connected vehicles and digital keys appear to be access-control features. The latent structure underneath is programmable identity infrastructure — mobility as a service, keyless fleet management, insurance-linked behavioral telematics. The capability arrived first; the market formation followed.

Geospatial AI today sits in the same position. The raw capability — trajectory embeddings, semantic route annotation, motion intelligence — is technically demonstrable. The market formation question is: which customer segment has the sharpest economic pain, and which use case makes the category legible to the rest?

For a deeper analysis of how economic interpretation shapes categories across industries, read A General Theory of Commercial Innovation.

The common thread across all five is not "selling technology." It is recognizing the latent market structure hidden inside a technology shift before scaling how to sell it.

The Forward Opportunity

The Gartner Hype Cycle has long tracked the pattern: a technology's peak of inflated expectations is followed by a trough of disillusionment before it reaches the plateau of productivity.^[5] What the cycle does not measure is the organizational work required to navigate that trough. That work is market formation. And it is where an enormous amount of enterprise value is either created or permanently lost.

"Product-market fit" became a foundational concept for a generation of founders because it named something real that previously went unnamed.^[6] Market formation has the same opportunity. It is a discipline practiced everywhere, owned almost nowhere, and named by almost no one.

In the AI era, the companies that win will not simply be the best builders. They will be the companies that most clearly answer what they have built — and why that answer makes a specific market's economics irreversibly better. That translation, from technical possibility to customer reality, is not a phase of the business. It is the work.