Supporting
digital transformation
in the e-services sector
As digital transformation becomes essential in our connected world, the European Union is working to help organisations adapt by integrating suitable technologies and shifting their business models toward digitalisation. This involves focusing on customer needs, redesigning processes, and fostering new organisational cultures. Digital technologies can create new business opportunities, improve efficiency through data analysis, and help extract value from data, but they also require building resilience and trust in digital infrastructures to minimise long-term risks.
What we understand by e-services?
E-services are services that are delivered through digital platforms, primarily via the internet or other electronic networks. They enable users to access, request, and interact with services remotely, often in real time, without the need for physical presence.
The key elements of this field are the following:
- Digital delivery: Provided through websites, mobile apps, or other digital interfaces.
- Automation: Often involves automated processes to improve speed and efficiency.
- User interaction: Allow users to perform actions like submitting forms, making payments, or receiving support.
- Accessibility: The service is available anytime and from anywhere with internet access.
These services can be provided by different types of organisations and are designed to improve accessibility, efficiency, and convenience for users.
What sectors are we addressing?
Business opportunities in the e-services sector
Here’s a breakdown of what e-services mean across various industries, including both traditional sectors and tech-driven verticals.
Data Privacy & Security – Growing data regulations (GDPR, CCPA, HIPAA) and increased customer scrutiny.
Scalability & Infrastructure – Digital platforms must handle spikes in users and data.
Integration Complexity – Integrate multiple third-party tools and legacy systems.
User Retention & Engagement – High churn in digital services due to poor onboarding or feature bloat.
Monetisation & Pricing Models – Finding sustainable business models in freemium-heavy markets.
Talent Shortage – Demand exceeds supply for AI/ML engineers, cloud architects, UX experts.
Platform & Device Fragmentation – Users are on web, mobile, smart TVs, wearables, etc.
Rapid Tech Evolution – Constant updates in AI, blockchain, AR/VR, etc.
Digital Divide & Accessibility – Reaching users with poor internet, limited devices, or disabilities.
E-services sector opportunities
The sector’s potential comes hand in hand with challenges, including:
EdTech – Engagement, cheating, digital divide.
Retail & eCommerce – Logistics, omnichannel UX, data privacy.
Creative Industries – IP protection, AI disruption, monetisation.
Sports Tech – Data ownership, real-time analytics, stakeholder buy-in.
Gaming & eSports – Monetisation limits, toxicity, technical infrastructure.
InsurTech – Regulatory complexity, data trust, personalisation.
FinTech – Compliance, security, legacy integration.
Telecom – Churn, network cost, digital transformation pace.
PropTech – Data fragmentation, trust, smart tech integration.
Travel & Tourism – Volatility, system integration, customer service automation.
E-services technologies
Smart maintenance
Sustainability / PLM; Asset / line condition monitoring; Product Service Systems.
Machine vision
Image and signal processing and classification; Non-destructive deep inspection (Photonics);Deep learning.
Sensory
Perception; Actuators and motors; Quantum sensory.
Internet of things
IoT Protocols; Embedded Processing – Edge; Communication Systems and Networks; Identification; Location and Guidance; Conformity Assessment; Sensors.
Cybersecurity and trust
Security, Safety and Privacy by Design; Blockchain/DLT; Secure Machine Economy; Control & Protection; Cyber Range.
Quantum technologies
Optimization; Quantum Machine Learning; Quantum Simulation; Magnetometry; QKD+QRNG.
Artificial intelligence
Modeling and data science; Descriptive, predictive, and prescriptive models; Explainability and trust in AI; AI on hybrid models; Generative AI.
Robotics and cognitive systems
Flexible and collaborative robotics; Cognitive and autonomous control; Drones and mobile/autonomous vehicles.
Advanced interaction systems
Extended reality; Natural interaction; Wearables; Digital ergonomics (HF & UX); Flexible and connected workplace; Gamification.
High-performance computing for data
Big Data Infrastructures; HPC Architectures; Infrastructure as Code; Data Governance; Distributed Computing; Cloud Service Brokers.
Systems lifecycle and DevOps
Intelligent DevOps; Risk and technical debt analysis; Qualitative and quantitative tools; Development/operational methods and tools.
Learn how we can help you!
And stay tuned for other opportunity areas upcoming!