Choosing your market is the first critical decision. Do you go broad or deep? This is the fundamental trade-off between horizontal and vertical SaaS.

Horizontal SaaS products are tools for everyone, regardless of industry. Think of project management software like Trello or communication apps like Slack. They solve a common business problem, like organising tasks or communicating with a team. Their strength is a massive potential market. The weakness? Intense competition and the need to be a generalist, which can leave specific industry needs unmet.

Vertical SaaS, on the other hand, goes deep. It serves a specific industry niche, like software for dental practices or logistics management for construction firms. The potential market is smaller, but the problems are more specific and often more acute. This focus allows you to build a highly-specialised solution that a horizontal tool can't match. You become a big fish in a small, but often profitable, pond.

The trend for 2025 and beyond is clear: the future is vertical. As broad software categories become saturated, the biggest opportunities lie in what's being called Vertical SaaS 2.0 . This isn't just about digitising an old process; it's about embedding AI to create intelligent, industry-specific workflows that were previously impossible. The goal is to find underserved segments in traditionally 'analogue' sectors, like agriculture, manufacturing, or skilled trades.

How do you find these opportunities? Start by looking for friction. Where are businesses still relying on spreadsheets, paper forms, and endless phone calls? These are signs of unmet needs. You can systematically uncover these by:

• Following the Money: Analyse industry reports from firms like Gartner or Forrester. Look for sectors with high growth but low tech adoption. Where is venture capital flowing in B2B tech?
• Listening for Complaints: Scour online forums, LinkedIn groups, and subreddits for specific industries. What are the recurring problems people complain about? Phrases like "I wish there was a tool that..." or "it takes forever to..." are pure gold.
• Mapping 'Analogue' Workflows: Pick an industry and map out a core process from start to finish. For example, how does a small winery manage its inventory, sales, and compliance reporting? Identify the most manual, error-prone, and time-consuming steps.

Your goal is to find a problem that is not just a minor annoyance, but a significant drag on time, money, or resources. That's the foundation for a product people will actually pay for.

An idea is worthless until you prove someone is willing to pay for the solution. Assessing Willingness to Pay (WTP) before you build anything is the most crucial form of validation. This separates a hobby from a business.

Forget generic surveys. To get a true signal, you need to ask for a commitment. This doesn't have to be cash, but it should represent a cost to the potential customer. Create a simple landing page that clearly explains the problem you solve and the value you provide. Then, include a call to action that requires a small commitment, such as:

• Joining a waitlist for a paid pilot program.
• Pre-ordering at a significant discount.
• Booking a 30-minute 'workflow consultation' call.

The conversion rate on these offers is your first real data point on WTP. A high number of email sign-ups for a free newsletter is nice, but a handful of paid pilot commitments is proof of a real business.

Once you have a handful of interested leads, talk to them. In these conversations, focus on understanding the financial impact of the problem. Ask questions like:

• "How many hours per week does your team spend on this task?"
• "What is the cost of an error in this process?"
• "What other tools have you tried and why did they fail?"

Their answers will help you quantify the value of your solution, which is the key to pricing it effectively and proving a return on investment.

Finally, perform a competitor gap analysis, but with an AI-native lens. Don't just list the features of existing tools. Ask where AI could fundamentally change the workflow. If a competitor offers reporting, could you offer predictive forecasting? If they offer data entry, could you offer automated data capture and classification?

This is where you can build a defensible advantage. By focusing on a specific vertical and leveraging AI to solve a high-value problem, you aren't just building another piece of software. You're building an intelligent system that becomes indispensable to the industry you serve.