SciTransfer
Organization

TELEFONICA IOT & BIG DATA TECH SA

Telefonica subsidiary bringing 5G infrastructure, IoT platforms, and big data pipelines to EU research consortia requiring industrial-scale telecom deployment.

Large industrial companydigitalESNo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
€354K
Unique partners
42
What they do

Their core work

Telefonica IoT & Big Data Tech SA is the industrial IoT and data intelligence subsidiary of Telefonica, Spain's largest telecommunications operator. The company develops IoT connectivity platforms, big data analytics pipelines, and advanced network solutions — including 5G, edge computing, and smart network architectures — for enterprise and supply chain applications. In EU research, they contribute real telecommunications infrastructure and industrial-scale IoT deployment capabilities that most research partners cannot replicate. Their work spans next-generation sensor networks and tactile IoT to secure data handling using blockchain and trusted execution environments.

Core expertise

What they specialise in

IoT connectivity and 5G networksprimary
1 project

In iNGENIOUS, they contributed Next-Generation IoT and 5G/New Radio expertise for universal supply chain applications.

Edge computing and smart network architecturesprimary
1 project

iNGENIOUS listed edge computing and smart network design as core research areas where Telefonica contributed connectivity infrastructure.

2 projects

Blockchain appears as a keyword in both LOCARD (evidence chain-of-custody integrity) and iNGENIOUS (supply chain traceability), making it their most consistent cross-project capability.

Digital forensics and lawful evidence platformssecondary
1 project

LOCARD focused on lawful evidence collection and continuity platforms using trusted execution environments and blockchain for tamper-proof digital evidence.

Advanced sensing and immersive human-machine interfacesemerging
1 project

iNGENIOUS listed neuromorphic sensors, mixed reality, and haptic gloves as research areas, indicating early-stage exploration of next-generation industrial interfaces.

Evolution & trajectory

How they've shifted over time

Early focus
Digital forensics and blockchain evidence
Recent focus
5G IoT and supply chain networks

In their first H2020 project (2019), Telefonica IoT & Big Data focused on digital security infrastructure — specifically the collection and preservation of lawful digital evidence using blockchain and trusted execution environments for law enforcement contexts. By 2020, their focus shifted decisively toward next-generation connectivity: 5G, edge computing, tactile IoT, and supply chain intelligence across large industrial networks. The consistent thread across both periods is blockchain, applied both to evidence integrity and supply chain traceability — suggesting this is a durable organisational capability rather than a trend adopted opportunistically.

They are moving deeper into 5G-enabled industrial IoT infrastructure with emerging interest in advanced human-machine interfaces (haptic, mixed reality, neuromorphic sensing), positioning them as a relevant partner for smart manufacturing, logistics, and Industry 4.0 consortia requiring real commercial network infrastructure.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European15 countries collaborated

Telefonica IoT & Big Data has not coordinated any H2020 projects — they join as a participant or third party, contributing specific industrial and telecom capabilities to larger research-led consortia. Their two projects brought them into contact with 42 distinct partners across 15 countries, which for just two projects is a high network density, reflecting the large multi-partner RIA consortia typical of ICT and security pillars. Expect them to contribute infrastructure access, deployment environments, or telecom operator expertise rather than leading the scientific research agenda.

Despite only two projects, Telefonica IoT & Big Data has engaged 42 unique partners across 15 countries, reflecting the large multinational consortia typical of ICT and security RIA projects. Their network is broadly European with no apparent geographic concentration beyond their Spanish base.

Why partner with them

What sets them apart

As a subsidiary of Telefonica — one of Europe's largest telecom operators — this organisation can offer research consortia something rare: access to real commercial 5G infrastructure, large-scale IoT deployment capacity, and operational big data pipelines tested against millions of connected devices. Most R&D partners bring laboratory-scale capabilities; Telefonica IoT & Big Data brings industrial-scale telecom reality. For projects that need to validate IoT or 5G solutions beyond simulation, they are a credible end-user, infrastructure provider, and deployment testbed in one.

Notable projects

Highlights from their portfolio

  • iNGENIOUS
    Their only funded participant role (EUR 353,659), covering an unusually broad technology mix — 5G, edge computing, tactile IoT, neuromorphic sensors, and mixed reality — applied to next-generation supply chain use cases.
  • LOCARD
    Their sole security-sector contribution, where they participated as a third party in a digital forensics platform using blockchain and trusted execution environments to ensure lawful evidence integrity.
Cross-sector capabilities
Security (digital forensics, lawful evidence platforms, trusted execution environments)Manufacturing and logistics (IoT-enabled supply chain traceability and 5G-connected operations)Transport (smart network infrastructure for connected and autonomous mobility systems)
Analysis note: Profile is based on only 2 H2020 projects, which limits statistical confidence significantly. However, their identity as a named Telefonica Group subsidiary clarifies real-world capabilities well beyond what project data alone would show. The unusually broad keyword range in iNGENIOUS suggests they may have contributed across multiple work packages rather than owning a single focused workstream — their actual depth in any one area is difficult to confirm from available data.