Vertical SaaS Will Eat Horizontal Tools

TL;DR: Vertical SaaS is growing 2-3x faster than horizontal tools because industry-specific software works on day one - no consultants, no configuration marathons. AI has made it possible to build for industries that were previously "too small" for custom software.

At Carro, we went through the full cycle. We tried Salesforce, HubSpot, Zendesk, Freshdesk, Intercom, MessageBird - every major horizontal tool you can think of. Every time, the same story. The tool doesn't understand your workflow, so you spend months configuring it with widgets and plugins, constantly fighting to bend it into something that fits. The providers all want their platform to be the centre of action, even when it's just one part of your operational flow.

Eventually we stopped trying to make generic tools work and built everything custom. CRM, fleet management, inspection apps, dispatch, inventory, credit management, leasing, auction systems, workshop management, expense tracking. Over a dozen systems in a decade.

We didn't do that because we wanted to. We did it because nothing fit.

The Numbers Tell the Story

Vertical SaaS companies - software built for a specific industry - are growing 2-3x faster than their horizontal counterparts. Veeva (~$32B market cap) dominates life sciences. Procore (~$9B) owns construction. Toast (~$16B) runs restaurants. ServiceTitan (~$6B) powers home services.

These aren't niche products. They're category-defining platforms that beat generic tools by starting from industry reality instead of generic abstraction. And the pattern is consistent: once a vertical solution exists that truly understands an industry, the horizontal tool loses. Not gradually - decisively. Because switching from "software that doesn't quite fit" to "software that understands my work" is a trade businesses happily make.

Why Horizontal Tools Have Lasted This Long

If vertical is clearly better, why do most businesses still use horizontal tools? Three reasons, and all of them are changing.

First, vertical solutions simply didn't exist for most industries. Building industry-specific software required large engineering teams, deep domain knowledge, and significant capital. Most industries didn't have enough concentrated demand to justify it.

Second, "good enough" was the only option. When your choice is a generic tool or no tool at all, generic wins. Spreadsheets and WhatsApp filled the gaps where even generic tools fell short.

Third, the cost of building was prohibitive. A bespoke system for a single industry vertical used to cost millions and take years. Only the largest industries could attract that investment.

So what changed? AI made building dramatically cheaper. What required a 50-person engineering team and 18 months can now be built by a small, experienced team in months. Industries that were "too small" for custom software are now viable. (I wrote more about this shift here.) Cloud infrastructure eliminated upfront capital. And the 70 million SMEs across Southeast Asia have been watching enterprises digitise for a decade - they're ready, they just need software that fits their world.

What Vertical Actually Gets You

When software is built for a specific industry, everything shifts.

Adoption is instant. Users don't need training on how to map their workflow to the tool - the tool already speaks their language. A fleet management platform that understands your dispatch process. A hire purchase system that knows what a balloon payment is. There's no translation layer.

Data becomes actionable. A generic CRM gives you "contacts" and "deals." A vertical platform gives you the specific entities and relationships that matter in your industry. At Carro, our custom CRM could show you the full lifecycle of a customer across every channel - calls, WhatsApp, email - in a single view. Try getting that from HubSpot in 2016.

AI gets dramatically better when it's trained on industry-specific data and workflows. At Carro, we built credit scoring models, pricing prediction, computer vision for vehicle inspections, and acoustic models for engine diagnostics. None of that would've been possible with a generic AI bolted onto a generic tool.

And retention becomes structural. Once a business runs on software that truly fits their operations, switching back to a generic tool feels like going from a custom suit to a one-size-fits-all poncho.

The Window Is Open

We're in a unique moment. AI has made it possible to build vertical software at a fraction of the historical cost. Most industries are still running on generic tools or manual processes. The first vertical solution to genuinely understand an industry wins that industry.

But there's a catch - you can't build great vertical software without deep industry knowledge. The domain expertise is the product. Generic AI applied to an industry you don't understand produces the same mediocre results as a horizontal tool, just faster.

I think the next generation of great software companies won't come from pure tech teams building from the outside. They'll come from industry operators who finally have the tools to turn decades of knowledge into products. The horizontal era is ending. The operators are the ones who'll build what comes next.

We're looking for those operators.