Crunchbase has introduced a suite of market insights for investors and go-to-market teams. The launch comes as it reports 900% year-on-year growth in average contract value for its Predictions and Insights business in the first quarter.
The new product set is designed to give users a sector-level view of private markets, extending Crunchbase's predictive intelligence beyond individual company signals. It includes micro-industries, expanded competitor analysis, and a market insights signal that classifies segments as emerging, growing, or declining.
The new micro-industries organise companies by what they build rather than by broad industry labels. Crunchbase has generated more than 5,200 of these segments using its products and services data, spanning 13 million mapped products.
The approach creates narrower categories within larger markets. In autonomous vehicles, for example, the system separates companies into segments such as Autonomous Mobile Robots, Autonomous Vehicle Systems, and Robo-Taxi & Autonomous Shuttle Services, rather than grouping them under one broad classification.
Commercial growth
The launch follows a period of strong sales growth for Crunchbase's predictive products. Enterprise demand has risen across financial services, investment firms, and software and AI companies, and its two largest deals on record were signed in the past two quarters.
That demand reflects a broader push by companies and investors to use private market data in internal AI systems and commercial decision-making. Customers are using Crunchbase's information to track sector momentum, assess competitive landscapes, and identify openings before market conditions shift.
Introduced in early 2025, Crunchbase's predictive intelligence product draws on nearly 20 years of proprietary startup data alongside activity signals from more than 80 million users. More than 17,000 company-level predictions have since been confirmed by real-world events.
Crunchbase cited examples including Anduril Industries, which it said was identified as a likely fundraising candidate more than a month before a USD $5 billion round was announced, and Blue Energy, which it said was flagged eight months before the company disclosed a USD $380 million fundraising round.
New signals
One addition is a revised competitor analysis tool that identifies a company's leading rivals, ranks them, and assigns each a competitive score. This version also adds plain-language explanations of why companies compete, based on a machine learning model trained on Crunchbase data and refined with a large language model layer.
Another feature is the market insights signal, which gives a standardised label showing whether an industry or micro-industry is emerging, growing, or declining. The label is produced by combining funding and exit activity, profile engagement, and macroeconomic context across companies in a segment.
For users, this is intended to replace manual analysis across multiple company-level indicators with a single sector view. The product is aimed at investors seeking earlier conviction on deals and strategy, as well as go-to-market teams deciding where to focus pipeline activity.
"Imagine if you had spotted the opportunity in AI coding assistants when they were a handful of unknown startups, not when they had already raised billions," said Jager McConnell, Chief Executive Officer, Crunchbase.
"That's what our new market insights can do: reveal where momentum is forming early, so you can get ahead of the next big market instead of chasing it," said McConnell.
Leadership changes
Crunchbase has also made two leadership changes as it seeks to expand the business. Ketaki Rao has joined as Chief Product Officer, while Ann Davis has been promoted to Chief Revenue Officer.
McConnell said the appointments were tied to the company's next phase of growth. "Enterprises need trusted private market data and predictive intelligence, and they're increasingly turning to Crunchbase for it," he said.
"With the addition of Ketaki and Ann, our executive leadership team brings exactly the combination of AI product depth and enterprise go-to-market experience we need to scale what market insights represent and execute on the opportunities ahead," said McConnell.
Rao also commented on the product launch and the company's data position. "What drew me to Crunchbase is that the hardest problem in AI is the data," said Ketaki Rao, Chief Product Officer, Crunchbase.
"Crunchbase has built a proprietary foundation that no one else has. Market insights is what happens when you combine that data depth with AI and fundamentally change how people understand private markets, so they can find and act on opportunities faster than ever before," said Rao.
Crunchbase said its broader product roadmap includes model context protocol connectors, a model-estimated current valuation signal, and wider coverage of revenue, headcount, and startups outside its existing footprint.