The market size in the artificial intelligence market in the United Kingdom was forecast to continuously increase between 2025 and 2031 by in total **** billion GBP (£) (+****** percent). After the ninth consecutive increasing year, the market size is estimated to reach ***** billion GBP (£) and therefore a new peak in 2031. Find more key insights for the market size in countries and regions like the market size in the 'Generative AI' segment of the artificial intelligence market in the United Kingdom and the market size in the artificial intelligence market in Nordics.The Statista Market Insights cover a broad range of additional markets.

In early 2023, among ***** dedicated artifical intelligence (AI) product and infrastructure providers in the United Kingdom (UK), ** percent were active in the framework, software, and platforms sectors. On the other hand, *** percent used the data mining capabilities of AI.

The UK artificial intelligence market size reached USD 3.3 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 20.5 Billion by 2033, exhibiting a growth rate (CAGR) of 22.56% during 2025-2033. The growing implementation of policies, funding programs, and strategic initiatives by governing agencies, increasing adoption of AI technologies across various sectors, and rapid development of AI infrastructure are some of the factors propelling the growth of the market.

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2025-2033. Our report has categorized the market based on solution, technology, function, and end-use.

United Kingdom (UK) Artificial Intelligence Market size, market analysis, Market Revenue, trends, Regional Outlook, competition and growth opportunities till 2026

Data from the Opinion and Lifestyle Survey (OPN) on the use of Artificial Intelligence (AI) and how people feel about its uptake in today’s society.

Understanding of and attitudes towards the use of artificial intelligence (AI); indicators from the Opinions and Lifestyle Survey (OPN).

Indicators from the Opinions and Lifestyle Survey (OPN) on the public's awareness, opinions and expectations about artificial intelligence (AI) Uses longer data collection periods to allow estimates from various personal characteristics.

United Kingdom Artificial Intelligence Data Center Market Report is Segmented by Data Center Type (CSP Data Centers, Colocation Data Centers, Others (Enterprise and Edge)), by Component (Hardware, Software Technology, Services - (Managed Services, Professional Services, Etc). The Report Offers the Market Size and Forecasts for all the Above Segments in Terms of Value (USD).

In 2024, the majority of HR managers in the UK claimed to have a good understanding generally of what artificial intelligence (AI) is. Only 19 percent stated they had a good understanding of the technology, with 35 percent agreeing that AI can significantly imporve HR within their organization.

BackgroundGenerative artificial intelligence (Gen-AI) has emerged as a transformative tool in research and education. However, there is a mixed perception about its use. This study assessed the use, perception, prospect, and challenges of Gen-AI use in higher education.MethodsThis is a prospective, cross-sectional survey of university students in the United Kingdom (UK) distributed online between January and April 2024. Demography of participants and their perception of Gen-AI and other AI tools were collected and statistically analyzed to assess the difference in perception between various subgroups.ResultsA total of 136 students responded to the survey of which 59% (80) were male. The majority were aware of Gen-AI and other AI use in academia (61%) with 52% having personal experience of the tools. Grammar correction and idea generation were the two most common tasks of use, with 37% being regular users. Fifty-six percent of respondents agreed that AI gives an academic edge with 40% holding a positive overall perception about the use in academia. Comparatively, there was a statistically significant difference in overall perception between different age ranges (I2 = 27.39; p = 0.002) and levels of education (I2 = 20.07; p 

During a survey carried out in the United Kingdom, more than ************ responding small business owners, founders, or operators stated they were planning to use artificial intelligence (AI) to generate marketing content, campaigns, and ideas in 2025. Nearly *********** was planning to use AI to automatize customer service.

Forecast: Share of Scientific Publications Involving International Collaboration in Artificial Intelligence in the UK 2024 - 2028 Discover more data with ReportLinker!

We provide measures of artificial intelligence technologies for the UK at the Travel-to-Work Area (TTWA) level. The data is derived from Lightcast Technologies (formerly known as Burning Glass) vacancy. A keyword-based algorithm is applied to the text of the vacancy data to characterise vacancies as being related to either cloud computing or machine leaning technologies (collectively grouped as AI).

Artificial Intelligence in FMCG and Retail Market Outlook

The global market size for Artificial Intelligence (AI) in the FMCG and retail sectors was valued at approximately USD 15.2 billion in 2023 and is projected to reach around USD 94.2 billion by 2032, growing at a compound annual growth rate (CAGR) of 22.5%. This impressive growth can be attributed to the increasing adoption of AI technologies to enhance customer experience, optimize supply chain management, and improve inventory management.

The rapid advancement and integration of AI technologies have revolutionized the FMCG and retail sectors, driving significant growth in this market. One of the primary growth factors is the increasing demand for personalized customer experiences. AI-powered systems enable businesses to analyze vast amounts of data, allowing them to tailor recommendations, offers, and advertisements to individual consumer preferences. This personalization boosts customer satisfaction and loyalty, leading to higher sales and revenue for businesses. Additionally, AI technologies such as chatbots and virtual assistants provide 24/7 customer support, further enhancing the customer experience.

Another significant growth driver for the AI in FMCG and retail market is the need for efficient inventory management. Traditional inventory management practices often lead to overstocking or stockouts, resulting in financial losses. AI-driven inventory management systems utilize predictive analytics to forecast demand accurately, ensuring optimal stock levels. These systems can analyze historical sales data, market trends, and other variables to predict future demand, enabling businesses to make informed decisions about stock replenishment. This optimization of inventory not only reduces costs but also minimizes waste, contributing to sustainable business practices.

The optimization of supply chain operations through AI is also a crucial factor propelling market growth. AI technologies can analyze and interpret vast amounts of data from various sources, providing real-time insights into supply chain processes. This enables businesses to detect inefficiencies, reduce operational costs, and enhance overall supply chain performance. For example, AI-powered systems can predict potential disruptions in the supply chain and suggest alternative routes or suppliers, mitigating risks and ensuring timely delivery of products. As a result, businesses can maintain a competitive edge in the market while meeting customer demands efficiently.

Regionally, the adoption and growth of AI technologies in the FMCG and retail sectors vary across different parts of the world. North America, particularly the United States, leads the market due to the early adoption of advanced technologies and significant investments in AI research and development. Europe follows closely, with countries like Germany and the UK actively integrating AI into their retail and FMCG operations. The Asia Pacific region is expected to witness the highest growth during the forecast period, driven by the rapid digitization of economies such as China and India. The Middle East & Africa and Latin America are also gradually embracing AI technologies, albeit at a slower pace.

Component Analysis

The AI in FMCG and retail market is segmented by components into software, hardware, and services. The software segment encompasses various AI solutions such as machine learning, natural language processing, and computer vision. These software solutions are integral to the functioning of AI systems, enabling them to analyze data, recognize patterns, and make predictions. The growing demand for AI-driven applications in customer service, inventory management, and supply chain optimization is significantly driving the software segment's growth. Companies are heavily investing in developing advanced AI algorithms and platforms to enhance their operational efficiency and customer engagement.

Hardware components include AI-specific chipsets, sensors, and other devices that facilitate the deployment of AI technologies. The increasing need for high-performance computing capabilities to process large datasets and execute complex algorithms is propelling the demand for specialized AI hardware. Innovations in hardware technologies, such as the development of AI accelerators and neuromorphic chips, are further boosting the hardware segment. These advancements enable faster and more efficient AI computations, enhancing the overall performance of AI applications in FMCG and retail sectors.

The services segment comprises consulting

Base Year 2023 Forecast Period 2024-2028 Market Growth X.XX%*

Forecast: Total Number of 10% Top-Cited Scientific Publications in Artificial Intelligence in the UK 2024 - 2028 Discover more data with ReportLinker!

Forecast: Share of Corresponding/Leading Author in Scientific Publications in Artificial Intelligence in the UK 2024 - 2028 Discover more data with ReportLinker!

UK Artificial Intelligence (AI) Chip Market is set for rapid growth, driven by increasing demand for AI-powered applications across industries.