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DeepTech Dashboards

DeepTech & AI is Europe

United Kingdom

Main Achievements

  • The data market in the UK (i.e. money made from products or services derived from digitised data) is the largest in Europe. UK tech grew dramatically in 2019, with the UK securing 33% of European tech investment

  • Government launched the Office for  AI, and AI Council - an advisory expert group made up of the country’s leading individuals and organisations in the field that help the Government and the Office for AI set priorities in the AI and data space.

  • The UK has the third-highest number of technology unicorns after the USA and China, giving it the highest number per capita. Its technology companies in the Forbes Global 2000 have the sixth-highest total market value, behind the USA, China, India, Germany and Ireland. It is home to world-famous pioneering AI companies such as DeepMind, acquired by Google in 2018.

  • UK universities have produced worldleading AI research centres such as the Leverhulme Centre for the Future of Intelligence in Cambridge and the Future of Humanity Institute in Oxford.

  • The UK is the world-leader in the Data and Infrastructure pillar, with scores over 90 for all three dimensions in this pillar. In terms of infrastructure, the UK launched its first 5G network in 2019.

National Vision: The UK has a National Data Strategy, launched in 2019, that aims to make the UK a ‘world-leading data economy’.

Focus: First mission is to create an environment where data is appropriately usable, accessible and available across the economy – fueling growth in organisations large and small. Building world-class digital infrastructure for the UK:

  1. Boosting productivity and trade: establishing institutions such as the Centre for Data Ethics and Innovation (CDEI) and the Alan Turing Institute, launching brand new conversion courses in data science and AI, and conducting pioneering work on ‘data trusts’ – a novel data-sharing framework

  2. Supporting new businesses and jobs: piloting the most promising interventions, working closely with industry and expert groups 

  3. Increasing the speed, efficiency and scope of scientific research: working closely with the CDEI, the Open Data Institute (ODI) and others to leverage their expertise and capability to support delivery of this agenda

  4. Driving better delivery of policy and public services: the development of a clearer policy framework to identify where greater data access and availability across and with the economy can and should support growth and innovation, in what form, and what government’s role should be, in the UK and globally

Creating a fairer society for all: this transformation will only be possible and sustainable if it is developed within a robust ethical framework of transparency, safeguards and assurance which builds and maintains public trust in the government’s use of data.



Main Achievements


  • Industrie 4.0 - a platform with a holistic approach to the shaping of digital ecosystems, Digital Hub initiative and the Hubs for Tomorrow.

  • Since 2010, the AI startups displayed have collected €2.2 billion in total funding. The average funding received per AI startup increased by 24% in 2020.

  • Most German AI start-ups provide solutions in the business sectors marketing and customer service, a few for deep tech areas such as IT and cyber security. The German core industries of manufacturing, transport and mobility, and healthcare show a high rate of start-ups. 

National Vision: The Federal Government aims to strengthen Germany as a centre for AI research. “We want to make Germany and Europe a leading centre for AI and thus help safeguard Germany’s competitiveness in the future”

Focus: The key priority areas in the strategy are boosting R&D, and ensuring AI development is socially responsible - developing legislative and ethical framework for AI (p.44),  AI standardisation, with its strong economic focus on engineering and manufacturing.

Cooperation & network:  forming a European innovation cluster.

Improvement of the infrastructure in AI: Government foresees to expand the current data infrastructure in order to create optimal conditions for the development of cutting-edge AI applications, it aims to develop the current telecommunication and digital infrastructure to ensure a better connectivity of the network and to improve cyber security.

Up to and including 2025, the Federation intends to provide around €3 billion for the implementation of the Strategy

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