This report, part of the FUTURINNOV project—a collaboration between the European Commission’s Joint Research Centre and the European Innovation Council and SMEs Executive Agency—provides the second literature review of third-party reports, in a continuous workstream that surfaces periodically cross-sector emerging technologies and breakthrough innovations.
It summarises findings in a final selection of 30 signals and trends through an iterative methodology focused on their potential impact and novelty.
These findings are categorised and analysed across the 10 critical technology areas defined by the European Commission, as well as through other frameworks such as the Strategic Technologies for Europe Platform and the EIC’s portfolios and specific taxonomy.
The report concludes with a cross-cutting analysis and offers recommendations to support the EIC’s strategic intelligence, particularly in prioritising innovation funding.
Additionally, it aims to raise awareness among EU policymakers about technological developments that may not yet be widely known.

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This report documents the process and findings of a horizon scanning exercise, part of a series under the FUTURINNOV (FUTURe-oriented detection and assessment of emerging technologies and breakthrough INNOVation) project, a collaboration between the European Innovation Council (EIC) and the Joint Research Centre (JRC), aiming to bolster the EIC's strategic intelligence through foresight and anticipatory methodologies.
The workshop, held on 13 May 2024, had as its primary goal the evaluation and prioritisation of trends and signals on emerging technologies and breakthrough innovation, across all technolo-gy readiness levels (TRLs), within the EIC's Advanced Materials portfolio and with a particular fo-cus on their use in the Energy sector.

Signals for the workshop were gathered from experts, literature review, and text/data mining of patents, publications, and EU-funded projects. These signals were then scrutinised for their sig-nificance to the field's future by a diverse group of sector experts which led to the identification of nine key topics: accelerated material design/synthesis; biomaterials as part of the circular economy; advanced materials allowing new applications; closed loop battery recycling; innova-tions in catalysis; organic batteries for sustainable energy storage; design to performance bat-teries; design to cost batteries; and electrochemical water treatment. Furthermore, the workshop identified additional wild cards with high novelty and disruptive potential such as: circularity of materials (safe and sustainable by design); membranes / separators; process optimisation; 3D printing of electrode materials for energy and environmental engineering applications; and use of AI for the study of materials.
Participants also highlighted various factors that could influence the development, adoption, and promotion of these emerging technologies, which can be grouped under the following categories: governance and compliance frameworks; funding; collaboration and knowledge exchange; sustainable and efficient development; infrastructure and technological advancement and limita-tions; industry and market dynamics and constraints; innovation and risk management; supply chain and raw materials; and talent development.

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This report documents the process and findings of a horizon scanning exercise, part of a series under the FUTURINNOV (FUTURe-oriented detection and assessment of emerging technologies and breakthrough INNOVation) project, a collaboration between the European Innovation Council (EIC) and the Joint Research Centre (JRC), aiming to bolster the EIC's strategic intelligence through foresight and anticipatory methodologies.

The workshop, held on 24 April 2024, had as its primary goal the evaluation and prioritisation of trends and signals on emerging technologies and breakthrough innovation, across all technology readiness levels (TRLs) and within the EIC's Quantum technologies portfolio.

Signals for the workshop were gathered from experts, literature review, and text/data mining of patents, publications, and EU-funded projects. These signals were then scrutinised for their significance to the field's future by a diverse group of sector experts which led to the identification of nine key topics: quantum sensing; quantum algorithms for lattice-based computational fluid dynamics models; materials for quantum; Artificial Intelligence for quantum; error correction; solid-state scalability; quantum for Artificial Intelligence; quantum as a service – metacloud; and quantum computers. Furthermore, the workshop identified additional wild cards with high novel-ty and disruptive potential such as quantum sensing AI on edge and molecular spin qubits.
Participants also highlighted various factors that could influence the development, adoption, and promotion of these emerging technologies, which can be grouped under the following categories: technical advancements; investment and infrastructure support; cross-sector collaboration; regulatory navigation; talent acquisition; market maturity; and application utility.

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This report provides a literature review of publications authored by numerous external organisations. It summarises 34 signals and trends of emerging technologies and breakthrough innovations across the 11 primary categories of a taxonomy defined by the European Innovation Council (EIC). The authors investigate not only what is deemed most novel in multiple application domains but what is worth the attention of European Union (EU) policy audiences involved with priority-setting and decision-making.

This work that has led to this literature review (1) reviews and evaluates 186 reports and articles on emerging technologies, (2) captures 489 signals, of which 86 have been short-listed and 34 selected for this report, (3) creates an internal database of signals which is used to digest and analyse the evolution of signals and novel technologies (4) connects signals with EIC portfolios and other European Commission (EC) initiatives such as policies surrounding critical technologies and Strategic Technologies for Europe Platform (STEP) investments that, together with the primary and secondary levels of the EIC taxonomy, provide multiple types of analysis and insights (5) draws conclusions that aim to support the EIC’s funding prioritisation and additionally, provide reflections on EIC portfolio setting.

By using the best publicly-available data to produce a harmonised internal database, along with an appropriate filtering and selection methodology, the authors aim to provide a support platform for future-oriented technology analysis of relevance for other EU policy-making initiatives.

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The FUTURINNOV project run by European Commission Joint Research Centre (JRC) supports the European Innovation Council (EIC) in building strategic intelligence capacity through foresight and other anticipatory approaches. This is done through activities to identify funding priorities, inform programme design, contribute to policy feedback, and develop institutional governance. 

The main objectives are to:
• Provide short and medium-term future-oriented evidence-based advice on signals and trends of emerging technologies, breakthrough innovation, and investment patterns;
• Support the development of long-term EIC strategic intelligence, grounded in anticipatory, collective, and hybrid methods, towards knowledge transfer and capacity building; and
• Explore innovative anticipatory thinking and future-oriented methodologies to support EIC in its mission as a funding body and a knowledge- provider for policy design and implementation.
The project started in the beginning of the 2024 and will run until February 2025. Outputs of the FUTURINNOV project will include three literature reviews identifying and analysing signals of emerging technologies and breakthrough innovations as well as findings from horizon scanning workshops.

Eyes on the Future - Signals from recent reports on emerging technologies and breakthrough innovations to support European Innovation Council strategic intelligence - Volume 1

The report provides a literature review of publications authored by numerous external organisations. It summarises 34 signals and trends of emerging technologies and breakthrough innovations across the 11 primary categories of a taxonomy defined by the European Innovation Council (EIC). The authors investigate not only what is deemed most novel in multiple application domains but what is worth the attention of European Union (EU) policy audiences involved with priority-setting and decision-making.The literature review

(1) reviews and evaluates 186 reports and articles on emerging technologies,
(2) captures 489 signals, of which 86 have been short-listed and 34 selected for this report,
(3) creates an internal database of signals which is used to digest and analyse the evolution of signals and novel technologies
(4) connects signals with EIC portfolios and other European Commission (EC) initiatives such as policies surrounding critical technologies and Strategic Technologies for Europe 

Platform (STEP) investments that, together with the primary and secondary levels of the EIC taxonomy, provide multiple types of analysis and insights(5) draws conclusions that aim to support the EIC’s funding prioritisation and additionally, provide reflections on EIC portfolio setting.  

Read some insights from the authors on the blog. 

(Dis)Entangling the Future - Horizon scanning for emerging technologies and breakthrough innovations in the field of quantum technologies

This report documents the process and findings of a horizon scanning exercise, part of a series under the FUTURINNOV. The workshop, held on 24 April 2024, had as its primary goal the evaluation and prioritisation of trends and signals on emerging technologies and breakthrough innovation, across all technology readiness levels (TRLs) and within the EIC's Quantum technologies portfolio. Signals for the workshop were gathered from experts, literature review, and text/data mining of patents, publications, and EU-funded projects.
These signals were then scrutinised for their significance to the field's future by a diverse group of sector experts which led to the identification of nine key topics:
•quantum computers
•quantum sensing;
•quantum algorithms for lattice-based computational fluid dynamics models;
•materials for quantum;
•Artificial Intelligence for quantum;
•error correction; solid-state scalability;
•quantum for Artificial Intelligence;
•quantum as a service – metacloud
Furthermore, the workshop identified additional wild cards with high novel-ty and disruptive potential such as quantum sensing AI on edge and molecular spin qubits. Participants also highlighted various factors that could influence the development, adoption, and promotion of these emerging technologies, which can be grouped under the following categories: technical advancements; investment and infrastructure support; cross-sector collaboration; regulatory navigation; talent acquisition; market maturity; and application utility.

Materialising the Future - Horizon scanning for emerging technologies and breakthrough innovations in the field of advance materials for energy

This report documents the process and findings of a horizon scanning exercise on emerging technologies in advanced materials for energy. Signals for the workshop were gathered from experts, literature review, and text/data mining of patents, publications, and EU-funded projects. These signals were then scrutinised for their significance to the field's future by a diverse group of sector experts which led to the identification of nine key topics: accelerated material design/synthesis; biomaterials as part of the circular economy; advanced materials allowing new applications; closed loop battery recycling; innova-tions in catalysis; organic batteries for sustainable energy storage; design to performance bat-teries; design to cost batteries; and electrochemical water treatment. Furthermore, the workshop identified additional wild cards with high novelty and disruptive potential such as: circularity of materials (safe and sustainable by design); membranes / separators; process optimisation; 3D printing of electrode materials for energy and environmental engineering applications; and use of AI for the study of materials.
Participants also highlighted various factors that could influence the development, adoption, and promotion of these emerging technologies, which can be grouped under the following categories: governance and compliance frameworks; funding; collaboration and knowledge exchange; sustainable and efficient development; infrastructure and technological advancement and limita-tions; industry and market dynamics and constraints; innovation and risk management; supply chain and raw materials; and talent development.

Eyes on the Future - Signals from recent reports on emerging technologies and breakthrough innovations to support European Innovation Council strategic intelligence - Volume 2

The second volume of the literature review with 30 selected signals and trends that were considered particularly relevant to the 10 critical technology areas identified by the Commission. Some examples are:
• Neuromorphic chip optimised for energy efficient AI workloads
• Laser-equipped satellites for secure quantum communications
• Possibilities of microgravity bioreactors and 3D bioprinting for regenerative medicine
• Self-consuming rockets to reduce space debris and improve efficiency
• Potential to capture wasted 'reflected' energy from PV systems
• Preparation–free, adhesive skin patches to help people control robotic exoskeletons.