Top 270 Data Startups UK (Free List)
Find the fastest growing data companies in the UK.
Top 270 Data Startups UK (Free List)
Find the fastest growing data companies in the UK.
1 Explore 270 UK data startups and their founders, who have collectively raised £3.99B.
2 Easily sort, filter, and compare the UK's top startups — customise the list to your needs.
3 Discover top startups for investment, B2B sales, partnerships, hiring, and industry connections.
With startups such as DeepMind, Quantexa, and Graphcore, the UK data sector has rapidly grown into one of the most dynamic areas for innovation. Driven by advancements in artificial intelligence, big data analytics, and increasing demand for data-driven decision-making, data startups are reshaping industries by unlocking new insights and efficiencies.
270 most active Data startups
Startups (name, funding, founders, investors)
You can connect with fast-growing data startups with the full list of recently funded startups from the UK.
With startups such as DeepMind, Quantexa, and Graphcore, the UK data sector has rapidly grown into one of the most dynamic areas for innovation. Driven by advancements in artificial intelligence, big data analytics, and increasing demand for data-driven decision-making, data startups are reshaping industries by unlocking new insights and efficiencies.
What does it mean to be a data startup?
Data startups are businesses that leverage data science, analytics, artificial intelligence, and other advanced technologies to extract meaningful insights from large datasets. Their primary goal is to help organisations make smarter, more efficient, and informed decisions.
Data startups use tools such as machine learning, natural language processing, predictive analytics, and visualisation platforms to identify patterns, forecast trends, and solve complex problems. These technologies help tackle key issues such as customer behaviour prediction, risk management, operational optimisation, and market intelligence.
With data innovation receiving significant attention from both industry and investors, numerous data investors are actively funding startups aiming to transform how organisations harness data. Let’s explore the key areas currently being developed within data innovation:
5 types of data startups
Data startups harness the power of data analytics, artificial intelligence, and machine learning to drive better decision-making and innovation. Here are five distinct categories of data-focused startups:
Data Analytics Startups
Companies providing tools and platforms for analysing data to uncover actionable insights (examples: Looker, Mixpanel, Amplitude, Heap).
AI & Machine Learning Startups
Startups developing AI-driven solutions that automate processes, predictions, or decision-making (examples: DeepMind, Faculty, Dataiku, Hugging Face).
Data Integration Startups
Companies facilitating seamless integration, aggregation, and management of data from multiple sources (examples: Fivetran, Segment, Airbyte, Stitch).
Data Privacy and Security Startups
Startups helping organisations secure their data and ensure regulatory compliance (examples: OneTrust, Privitar, Immuta, Snyk).
Data Visualisation Startups
Platforms making complex data understandable and actionable through visual representation (examples: Tableau, Infogram, Flourish, Visme).