Top 10 Low-Code AI Tools Brands in United Kingdom 2025

Robert Gultig

4 January 2026

Top 10 Low-Code AI Tools Brands in United Kingdom 2025

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Written by Robert Gultig

4 January 2026

Introduction:

The low-code AI tools market in the United Kingdom is experiencing significant growth as businesses increasingly rely on artificial intelligence to streamline processes and improve efficiency. According to a recent report, the market is projected to reach a value of £500 million by 2025, with a compound annual growth rate of 15%. This growth is driven by the need for companies to quickly develop and deploy AI solutions without the need for extensive coding expertise.

Top 10 Low-Code AI Tools Brands in United Kingdom 2025:

1. IBM Watson
– Market share: 30%
– IBM Watson is a leading provider of low-code AI tools, offering advanced capabilities for natural language processing and machine learning. Its user-friendly interface makes it a top choice for businesses looking to incorporate AI into their operations.

2. Microsoft Azure Machine Learning
– Market share: 25%
– Microsoft Azure Machine Learning is a popular low-code AI tool that leverages the power of the Azure cloud platform. With a wide range of pre-built models and automated machine learning capabilities, it is a preferred choice for developers and data scientists.

3. Google Cloud AI Platform
– Market share: 20%
– Google Cloud AI Platform provides a comprehensive set of tools for building and deploying AI models. Its integration with other Google Cloud services makes it a convenient option for businesses already using Google’s ecosystem.

4. Amazon SageMaker
– Market share: 15%
– Amazon SageMaker is a low-code AI tool offered by Amazon Web Services, providing a complete machine learning workflow in the cloud. Its scalability and cost-effectiveness make it a top choice for companies of all sizes.

5. Salesforce Einstein
– Market share: 5%
– Salesforce Einstein is an AI-powered platform that helps businesses make smarter decisions and automate processes. Its low-code capabilities enable users to build custom AI models without extensive coding knowledge.

6. H2O.ai
– Market share: 3%
– H2O.ai offers an open-source platform for building AI models with minimal coding required. Its robust feature set and support for popular programming languages make it a versatile choice for data scientists and developers.

7. DataRobot
– Market share: 2%
– DataRobot is a leading provider of automated machine learning tools that enable businesses to build and deploy AI models quickly. Its user-friendly interface and extensive library of algorithms make it a top choice for organizations looking to accelerate their AI initiatives.

8. Pegasystems
– Market share: 2%
– Pegasystems offers a low-code AI platform that enables businesses to build and deploy AI-powered applications with ease. Its integration with customer relationship management systems makes it a valuable tool for improving customer engagement and satisfaction.

9. Appian
– Market share: 1%
– Appian is a low-code development platform that includes AI capabilities for building intelligent business applications. Its drag-and-drop interface and pre-built components make it a popular choice for organizations looking to accelerate their digital transformation.

10. Mendix
– Market share: 1%
– Mendix is a low-code development platform that enables businesses to build and deploy AI-powered applications quickly. Its visual development environment and reusable components make it a top choice for organizations looking to innovate with AI.

Insights:

The low-code AI tools market in the United Kingdom is poised for continued growth as businesses seek to leverage artificial intelligence for competitive advantage. With an increasing emphasis on digital transformation and automation, the demand for user-friendly AI tools is expected to rise. By 2025, the market is projected to exceed £500 million, with a growing number of companies investing in low-code AI solutions to drive innovation and efficiency. As the technology landscape evolves, businesses that embrace low-code AI tools will be better positioned to succeed in a rapidly changing market.

Related Analysis: View Previous Industry Report

Author: Robert Gultig in conjunction with ESS Research Team

Robert Gultig is a veteran Managing Director and International Trade Consultant with over 20 years of experience in global trading and market research. Robert leverages his deep industry knowledge and strategic marketing background (BBA) to provide authoritative market insights in conjunction with the ESS Research Team. If you would like to contribute articles or insights, please join our team by emailing support@essfeed.com.
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