United Kingdom Machine Learning (ML) Market Size, Share, and COVID-19 Impact Analysis, By Component (Hardware, Software, Services), By End User (Healthcare, Retail, IT and Telecommunication, BFSI, Automotive and Transportation, Advertising and Media, Manufacturing, and Others), and United Kingdom Machine Learning (ML) Market Insights, Industry Trend, Forecasts to 2035

United Kingdom Machine Learning (ML) Market Size Insights Forecasts to 2035

• The United Kingdom Machine Learning (ML) Market Size was Estimated at USD 5,180.45 Million in 2024
• The Market Size is Expected to Grow at a CAGR of around 25.87% from 2025 to 2035
• The United Kingdom Machine Learning (ML) Market Size is Expected to Reach USD 65,110.22 Million by 2035

According to a Research Report Published by Spherical Insights and Consulting, the United Kingdom Machine Learning (ML) Market Size is anticipated to reach USD 65,110.22 million by 2035, growing at a CAGR of 25.87% from 2025 to 2035. The industry is expected to grow as more people adopt cloud-based platforms due to their numerous advantages. Artificial Intelligence (AI) is a rapidly developing technology that is revolutionizing the way individuals and businesses operate.

Market Overview

The marketplace in the UK, which utilizes machine learning techniques that enable computers to learn from historical data, is called machine learning. It is a branch of artificial intelligence (AI). With the help of data and algorithms, this data analytics technique allows computers to rapidly develop human learning and reduce human errors. A variety of techniques and algorithms are used in machine learning to generate information from historical data. These services offer a range of tools from vendors, such as deep learning, natural language processing, facial recognition, APIs, data visualization, and predictive analytics. The quantity of data and past data directly affect the accuracy of the information or data, which aids in improving the model that forecasts precise future data. Assume that whenever an organization is stuck, it can simply use a computer to evaluate and forecast future data and provide insights into the issue. So, utilizing machine learning technology, the organization will improve's predictability and accelerate market growth. Furthermore, the market for machine learning as a service is anticipated to expand due to elements including automation, the Internet of Things, the growing usage of cloud-based services, and consumer behavior research.

Report Coverage

This research report categorizes the market for the United Kingdom machine learning (ML) market based on various segments and regions and forecasts revenue growth and analyzes trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the United Kingdom machine learning (ML) market. Recent market developments and competitive strategies such as expansion, product launch, development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key market players and analyses their core competencies in each sub-segment of the United Kingdom machine learning (ML) market.

Driving Factors

The market for United Kingdom machine learning (ML) is primarily driven by the growth of automation and IoT use. Although sophisticated back-end analytics engines handle the bulk of the data stream processing, antiquated techniques are frequently employed to verify the accuracy of the data. Further, the growing e-commerce business boosted the market growth. In machine learning models and algorithms, organizations place a high priority on accountability, openness, and fairness, which attracts the key market players and leads the market expansion. A lot of work is being done to solve ethical issues with ML applications, preserve privacy, and lessen biases, along with guidelines, industry standards, and regulatory frameworks, are being developed to increase their market revenue.

Restraining Factors

The market growth is reduced by some obstacles, such as high execution and initial expenses, which prohibit certain businesses from fully taking advantage, along with technological limitations and inaccuracies. Further, it is a subsidiary of AI, so in some cases, there is a slight impact from AI-related market concerns, which slowed the market expansion.

Market Segmentation

The United Kingdom machine learning (ML) market share is classified into component and end user.

• The hardware segment held a significant share in 2024 and is expected to grow at a substantial CAGR over the forecast period.

The United Kingdom machine learning (ML) market is segmented by component into hardware, software, and services. Among these, the hardware segment held a significant share in 2024 and is expected to grow at a substantial CAGR over the forecast period. The segment growth is driven by high-performance, energy-efficient circuits like GPUs, ASICs, and neuromorphic computers are in more demand as edge computing grows. Further driving the need for purpose-built AI hardware to enable scalable and effective machine learning workloads are developments in chip design, cloud computing, and the application of AI in robotics and automation.

• The healthcare segment held a significant share in 2024 and is anticipated to grow at a rapid pace during the forecast period.

The United Kingdom machine learning (ML) market is divided by end user into healthcare, retail, it and telecommunication, BFSI, automotive and transportation, advertising and media, manufacturing, and others. Among these, the healthcare segment held a significant share in 2024 and is anticipated to grow at a rapid pace during the forecast period. This is because of the need for better accuracy in diagnosis, tailored treatment, and prompt disease identification utilizing information from wearables, imaging, and medical records. The need for predictive analytics and the increasing amount of healthcare data promote improved patient outcomes and the management of chronic diseases. Clinical care and hospital workflows are transformed by machine learning (ML), which also speeds up drug development, improves operational efficiency through automation, and helps with staff shortages.

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the United Kingdom machine learning (ML) market along with a comparative evaluation primarily based on their product offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborative analysis focusing on the current news and developments of the companies, which includes product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.

List of Key Companies

• DeepMind
• Graphcore
• Faculty AI
• Tractable
• Speechmatics
• Darktrace
• Others

Recent Developments:

• In May 2025, the University of Nottingham officially launched Helix, an innovative open-source framework designed to revolutionize how researchers, engineers, and data scientists handle structured (tabular) data. Helix was built to support end-to-end machine learning workflows, including data ingestion, preprocessing, model training, evaluation, and deployment. It was designed to be modular and extensible, allowing users to integrate custom components for specialized research and industrial applications.
• In February 2025, Cubic Transportation Systems announced the launch of a UK Innovation Centre to explore how artificial intelligence (AI) and machine learning (ML) could address challenges in public transit. The centre, located at Cubic’s headquarters in Redhill, Surrey, focused on improving financial sustainability for transit agencies through AI-driven solutions. It also featured a customer experience area, including a “tube station of the future” with customizable devices and digital walls for immersive demonstrations.

Key Target Audience

• Market Players
• Investors
• End-users
• Government Authorities 
• Consulting and Research Firm
• Venture capitalists
• Value-Added Resellers (VARs)

Market Segment

This study forecasts revenue at United Kingdom, regional, and country levels from 2020 to 2035. Spherical Insights has segmented the United Kingdom machine learning (ML) market based on the below-mentioned segments

United Kingdom Machine Learning (ML) Market, By Component

• Hardware
• Software
• Services

United Kingdom Machine Learning (ML) Market, By End User

• Healthcare
• Retail
• IT and Telecommunication
• BFSI
• Automotive and Transportation
• Advertising and Media
• Manufacturing
• Others