Machine Learning - United Kingdom

  • United Kingdom
  • The market size in the Machine Learning market is projected to reach €2.35bn in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 35.95%, resulting in a market volume of €14.84bn by 2030.
  • In global comparison, the largest market size will be in the United States (€19.40bn in 2024).
 
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Analyst Opinion

The Machine Learning market within the Artificial Intelligence market in the United Kingdom is experiencing extraordinary growth, driven by factors such as the increasing use of digital technologies, growing awareness of the importance of AI in healthcare, and the convenience of online health services. This remarkable growth rate is primarily influenced by the rising demand for data-driven healthcare solutions and the advancements in technology.

Customer preferences:
The Machine Learning Market within the Artificial Intelligence Market in the United Kingdom is experiencing a rise in demand for personalized shopping experiences, with consumers gravitating towards AI-powered virtual assistants and recommendation engines. The use of chatbots for customer service and support has also become prevalent, as consumers seek quick and efficient resolutions to their queries. This trend is driven by the desire for a seamless and personalized shopping journey, as well as the convenience of 24/7 assistance.

Trends in the market:
In the United Kingdom, the Machine Learning Market within the Artificial Intelligence Market is experiencing a surge in demand for AI-powered chatbots and virtual assistants in the customer service industry. This trend is driven by the need for businesses to provide round-the-clock support and improve customer experience. Additionally, there is a growing adoption of AI-driven predictive analytics in various industries, such as finance and healthcare, to optimize decision-making processes. This trajectory indicates a shift towards more advanced and automated solutions, which could have significant implications for industry stakeholders in terms of cost savings, efficiency, and enhanced customer satisfaction.

Local special circumstances:
In the United Kingdom, the Machine Learning market is thriving due to the country's strong focus on innovation and technology. The government has invested heavily in research and development, creating a favorable environment for businesses to adopt and implement Machine Learning solutions. Additionally, the UK has a highly skilled workforce and a supportive regulatory framework, making it an attractive market for AI companies. Furthermore, the country's strong financial sector and its openness to new technologies have also contributed to the growth of the Machine Learning market.

Underlying macroeconomic factors:
The Machine Learning Market within the Artificial Intelligence Market in the United Kingdom is greatly influenced by macroeconomic factors. The country's strong economic health, coupled with its focus on digital transformation and investment in R&D, has created a favorable environment for the growth of the market. Moreover, the UK government's supportive policies and initiatives, such as the AI Sector Deal and the Industrial Strategy Challenge Fund, have accelerated the adoption of AI and machine learning technologies across various industries. Additionally, the increasing demand for automation and predictive analytics solutions to improve business operations and decision-making processes is driving the market growth.

Methodology

Data coverage: The data encompasses B2B, B2G, and B2C enterprises. Figures are based on the funding values from different industries for the market.

Modeling approach / Market size:Market sizes are determined through a top-down approach with a bottom-up validation, building on a specific rationale for each market. As a basis for evaluating markets, we use annual financial reports, funding data, and third-party data. In addition, we use relevant key market indicators and data from country-specific associations such as GDP, number of internet users, number of secure internet servers, and internet penetration. This data helps us estimate the market size for each country individually.

Forecasts:In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function and exponential trend smoothing are well suited to forecast digital products and services due to the non-linear growth of technology adoption. The main drivers are the level of digitalization, the number of secure internet servers, and the revenue of the Public Cloud market.

Additional Notes: The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russian-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the market is updated on an ad-hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Data from the Statista Consumer Insights Global survey is weighted for representativeness.

Visión general

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  • Methodology
  • Key Market Indicators
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