Emerging Technologies in Europe

The IDC EMEA Emtech Radar offers a glimpse into the developmental stages of the investigated technologies across three time horizons, which were determined by user expectations as to when these technologies will achieve broader adoption.

We have identified three main features that a technology needs to coexist in order to be defined as emerging technology

The technology needs to be in an early stage, meaning that:

  • It is beyond the conceptual phase
  • It is still in the development phase
  • It already has a real business application

Changing the status quo

The technology must be able to change the status quo. It must be able to provide new way of working and living.

For example, industrial AR/VR solutions. Which are changing the way how employees are carrying out maintenance processes in manufacturing. And how training in the healthcare sector is provided, for example surgical training.

Broad but still uncertain impact

We either refer to broad impact in terms of the industry scope, or broad in the number of applications it has in the same industry.

Those applications are, however, uncertain, meaning that they can be either uncertain in the outcome, or in the fact that they bear some potential risks.

Key Uses for Emerging Technologies

  • Next-Level CX

    Raiffeisen Informatik has deployed Juniper solutions to modernize and automate its network infrastructure to provide exceptional services for its customers.

  • Connected Enterprise

    T-Mobile and Deutsche Telekom launched T-loT, a distruptive new loT solution designed to simplify global loT connectivity for enterprises

  • Digitized Logistics

    Digitization of logistics though ioT and AI systems to improve efficiency and sustainability, as well as to monitor goods flows to order processing – all from a single source

  • Enhanced Computation

    In 2022, HSBC and IBM announced that they will work together on exploring applications for quantum computing in financial services.

  • Intelligence Everywhere

    IBM partners with Adobe, around the use of artificial intelligence-powered weather data from The Weather Company, an IBM Business, on the Adobe Experience Platform

  • Technology With Purpose

    Robotics and ML for waste management to allow for smaller, more precise, safer, and profitable demolition recycling.

New Trends to Keep an Eye on

  • Deep Tech

    Deep tech refers to those technologies that are based on high tech innovation in engineering, or significant scientific advances. Deep tech applications aim at achieving real improvement in human lives and society, rather than business improvement.

  • Quantum Computing

    Quantum computing harnesses and exploits quantum mechanics like superposition and entanglement to manipulate enormous combinations of states at once for computations and to process information on a large scale.

  • Multimodal AI

    A new AI paradigm in which various data types are combined with multiple intelligence processing algorithms to achieve higher performance levels in terms of accuracy, context, experiences, and insights for various business processes across industries.

Our Research Focus Areas

5G

Given the speeds and capacity that 5G networks promise, they have the potential to be an indispensable technology to accelerate digital transformation and innovation.
5G is the fifth generation mobile network, and will usher in the fourth industrial revolution and change the economy.

loT

Internet of Things (IoT) refers to the network of smart, interconnected devices and services that are capable of sensing or even listening to requests.
IoT solutions can be leveraged for many tasks, ranging from connecting devices, systems, and people, or simply exchanging data, to intelligent, real-world applications enabling environments such as factories and smart cities.

Block Chain

Blockchain is a type of distributed ledger technology in which transactions are recorded with an immutable cryptographic signature.
It is the perfect technology for organizations looking for more trust, security, transparency, and traceability of data shared across a business network, achieving cost savings and new efficiencies.

Biometrics

Biometrics is the most suitable means of identifying and authenticating individuals reliably and quickly. Unique biological characteristics, such as fingerprints, iris scans, facial recognition, and voice are highly valued identifiers because they are universal, specific, measurable, and documentable. And unlike passwords, KYC responses or authentication tokens, users can’t forget or misplace their biometrics.

AR/VR

Augmented and virtual reality represent a major revolution in the way we interact with computers. From remote team collaboration to training and industrial maintenance, this technology is revolutionizing how we look at the world.

Quantum computing

Quantum computing is defined as a technology that harnesses and exploits quantum mechanics like superposition and entanglement to manipulate enormous combinations of states at once for computations and to process information on a large scale. There are many areas in which the superior power and intelligence of quantum technologies can be leveraged, from technology and hospitality to defense and construction.

Edge Computing

Edge computing is a distributed computing framework that brings enterprise applications closer to data sources such as IoT devices or local edge servers.
This proximity to data at its source can deliver strong business benefits, including faster insights, improved response times, and better bandwidth availability.

Robotics

Robots are widely used in industries such as automobile manufacture to perform simple repetitive tasks and in industries where work must be performed in environments that are hazardous to humans.
Enhanced safety, speed, and higher productivity are just a few of the many advantages that organizations achieve through this technology.

AI

Artificial intelligence is the basis for mimicking human intelligence processes through the creation and application of algorithms built into a dynamic computing environment. It forms the basis for all computer learning and is the future of all complex decision making, leveraging the incredible amount of data generated by both humans and machines.

Meet the Team

Image of Meet the Team

Meet the Team

Senior research analyst

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Image of Gabriele Roberti

Gabriele Roberti

Senior research manager, IoT and Edge practice lead

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Image of Stefano Perini

Stefano Perini

Senior research analyst, Quantum Computing launchpad lead

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Image of Giulia Carosella

Giulia Carosella

Research manager, European Digital Transformation practice lead

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Image of Neil Ward-Dutton

Neil Ward-Dutton

Vice president, Artificial Intelligence practice lead

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Image of Francesca Ciarletta

Francesca Ciarletta

Group Vice President, Investment Research

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Image of Lapo Fioretti

Lapo Fioretti

Senior Research Analyst, Emerging Technologies and Macroeconomics

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Image of Andrea Minonne

Andrea Minonne

Senior research analyst, Augmented Humanity launchpad lead

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Image of Alexandra Rotaru

Alexandra Rotaru

Research analyst

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