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Blog post

12 min read

Why 70% of Utility Data Marketplace Projects Fail– And How to Beat the Odds

The UK utilities sector stands at a crossroads. With a £104bn funding package for water utilities through 2030 and £20.4 billion allocated in R&D funding for 2025-2026, the pressure to innovate has never been higher. Yet here's the uncomfortable truth: 75% of IT project respondents believe their initiatives are doomed to fail from the start, and utility data marketplace projects are no exception. 

After years of working with energy, water, and gas utilities on digital transformation initiatives, we've witnessed firsthand why promising data marketplace projects consistently underdeliver. This isn't about technology limitations—it's about understanding the real obstacles and having the right strategy to overcome them. 

The Hidden Cost of Data Marketplace ROI Failures in Utilities

Before we dive into solutions, let's be candid about why utility digital transformation challenges are particularly brutal when it comes to data marketplaces. These aren't minor hiccups—they're fundamental barriers that can derail even well-funded initiatives. 

1. Integration Hell: The £Millions Buried in Connectivity 

The typical UK utility operates a tangled web of systems that were never designed to communicate: 

  • SCADA systems from the 1990s 

  • Modern smart meter infrastructure (AMI) 

  • Legacy SAP IS-U or Oracle billing platforms 

  • GIS mapping systems 

  • Asset management tools like Maximo 

  • Third-party IoT sensors 

Connecting these systems isn't plug-and-play. It requires custom pipelines, extensive security protocols, data normalisation, and ongoing maintenance.

With 64% of organisations citing data quality as their top challenge and 77% rating their data quality as average or worse, the foundation you're building on is already unstable. 

Real cost impact: Integration projects in utilities routinely run 27% over budget, and that's before factoring in the specialised expertise required for SCADA protocols, OSIsoft PI systems, and utility-specific data models. 

2. The Productisation Gap: Raw Data Isn't Sellable 

Here's where most utilities get stuck. You've connected the systems, extracted the data—now what? Turning raw telemetry into a monetisable data marketplace product requires: 

  • Data cleaning and validation 

  • Anonymisation and privacy controls 

  • Documentation and data lineage 

  • Service Level Agreements (SLAs) 

  • API development 

  • Customer support infrastructure 

This isn't a six-week project. It's a multi-month productisation effort that most utilities drastically underestimate. The difference between "we have the data" and "we have a market-ready data product" can represent 60-70% of the total project investment. 

3. Governance Paralysis: When Compliance Becomes a Bottleneck

UK utilities operate under some of the strictest regulatory frameworks in the world: 

  • GDPR and customer data protection 

  • Ofgem reporting requirements 

  • Water quality transparency mandates 

  • Critical infrastructure security protocols 

Gartner predicts that by 2027, 80% of data and analytics governance initiatives will fail, and utilities face an even steeper climb. Every data product must pass through legal, security, compliance, and operational reviews. Each stakeholder has veto power, and the institutional risk appetite is inherently conservative. 

4. The Buyer Pool Problem: Limited Markets, Limited Revenue 

Unlike consumer data marketplaces, utility data has a niche audience: 

  • Local government bodies 

  • Academic researchers 

  • EV charging infrastructure providers 

  • Energy consultancies 

  • Smart city initiatives 

The harsh reality? The market for grid topology data, leakage event logs, or transformer health metrics is finite. Finding enough buyers willing to pay premium prices is challenging, especially when competing with free or low-cost government datasets. 

5. Cultural Resistance: Data Hoarding in Action 

Utility digital transformation challenges aren't just technical—they're organisational. Operations teams view data as their competitive advantage. Engineering departments fear exposing operational inefficiencies. Commercial teams struggle with revenue-sharing models. Creating a successful data marketplace requires breaking down decades of siloed thinking and establishing new commercial frameworks that align incentives across departments. 

6. Operational Overhead: The Bill That Never Stops

Launching a data marketplace isn't a capital project—it's an operational commitment. You need: 

  • Continuous data catalogue management 

  • Billing and subscription systems 

  • Customer support and onboarding 

  • SLA monitoring and enforcement 

  • Security updates and compliance audits 

  • Version control and data product updates 

Platforms like Snowflake and AWS Data Exchange reduce infrastructure burden, but they don't eliminate the ongoing productisation and support costs that eat into margins. 

7. Delayed Time to Value: When Payback Takes Years

Utility use cases deliver tremendous value, but they're not quick wins: 

  • Predictive maintenance models require 12-18 months of operational validation 

  • Regulatory reporting automation needs multiple compliance cycles to prove reliability 

  • EV charging optimisation requires grid data, behavioural patterns, and market adoption 

When senior leadership expects ROI in 12-18 months but the reality is 24-36 months, projects get cancelled before they reach profitability. 

How Keyrus K.Market Beats the Data Marketplace ROI Challenge

Understanding why data marketplace projects fail is only half the battle. At Keyrus, we've built our K.Market Data Marketplace accelerator specifically to address these utility-specific pitfalls. Here's how we turn the odds in your favour. 

Strategy 1: Start Internal, Prove Value, Then Monetise Externally 

The Problem: Most utilities jump straight to external monetisation without validating internal demand, leading to expensive failures. Our Solution: K.Market enables a hybrid monetisation strategy that reduces risk: 

  1. Phase 1 (Months 1-6): Deploy high-value internal data products for predictive maintenance, leakage detection, or regulatory reporting. Implement internal chargeback models across business units. 

  2. Phase 2 (Months 6-12): Measure and quantify savings—reduced asset failures, lower compliance costs, faster incident response. 

  3. Phase 3 (Months 12+): Open selected data products to external buyers with proven demand. 

Real Impact: Internal cost recovery funds further productisation while building the operational muscle needed for external marketplace success. 

Strategy 2: Containerised, Plug-and-Play Data Products 

The Problem: Custom integration for every data consumer makes scaling impossible and costs prohibitive. 

Our Solution: K.Market's containerised data products are truly self-sustaining: 

  • Pre-built connectors for OSIsoft PI, SAP IS-U, major AMI vendors, and common SCADA systems 

  • Complete bundles: data ingestion + transformation + analytics + API + dashboard 

  • Platform-agnostic design works across on-premise and cloud environments 

  • Deployment measured in weeks, not months 

Real Impact: Reduces integration time by 50-70% and lowers total cost of ownership, accelerating payback periods. 

Strategy 3: Conversational Data Access for Non-Technical Users 

The Problem: Limited self-service access creates IT bottlenecks and slows innovation across operations, customer care, and R&D teams. 

Our Solution: K.Market includes natural language query capabilities: 

  • Field operations can ask, "Show me transformer overload events in Manchester last quarter," without SQL knowledge 

  • Customer engagement teams can pull consumption anomalies without waiting for IT reports 

  • Regulatory teams can generate ad-hoc compliance reports on demand 

Real Impact: Democratises data access, reduces shadow IT spending, and accelerates adoption of data-driven practices across the organisation. 

Strategy 4: Regulatory-First Data Product Design 

The Problem: Common data governance pitfalls include a lack of committed leadership, overambitious plans, and no clear metrics to evaluate impact. 

Our Solution: K.Market prioritises compliance-driven products that utilities must deliver: 

  • Automated Ofgem reporting packages 

  • Net Zero carbon tracking dashboards 

  • Water quality transparency datasets 

  • Asset health regulatory submissions 

Real Impact: Utilities will pay more to reduce audit risk and streamline compliance. These products have guaranteed internal demand and create tangible cost savings from day one. 

Strategy 5: Targeted Pilot Products with Measured Outcomes 

The Problem: Trying to boil the ocean with dozens of data products leads to analysis paralysis and resource dilution. 

Our Solution: Launch 3-5 high-impact data products with clear business cases: 

  • Predictive Maintenance for Critical Assets: Target major transformers or pumping stations with highest failure costs 

  • Leakage Detection Optimisation: Package water loss data with ML-powered anomaly detection 

  • EV Charging Grid Readiness API: Offer real-time grid capacity data to charging infrastructure providers 

Real Impact: Demonstrate measurable savings (% reduction in outage MTTR, £ saved in regulatory reporting, revenue from external licensing) within 3-9 months. 

Strategy 6: Co-Funding and Ecosystem Partnerships 

The Problem: Utilities shoulder all development risk without guaranteed demand. 

Our Solution: K.Market facilitates co-investment models: 

  • Partner with EV charging networks to co-develop grid readiness APIs 

  • Collaborate with local councils on smart city data products 

  • Engage solar aggregators in renewable capacity forecasting tools 

Real Impact: Shared development costs guaranteed early demand and faster time to market. Risk is distributed across the value chain. 

Strategy 7: Managed Services to De-Risk Operations 

The Problem: The operational burden of running a marketplace discourages adoption. 

Our Solution: K.Market offers flexible managed service options: 

  • Lightweight managed hosting of data products 

  • Versioned data pipeline maintenance 

  • Model retraining and performance monitoring 

  • OPEX-friendly subscription pricing 

Real Impact: Buyers prefer predictable operational expenses over large capital investments. Managed services accelerate adoption even with slightly lower margins. 

Real-World Success: What Beating the Odds Looks Like

When utilities implement data marketplaces strategically, the results are transformative: 

  • 40-50% reduction in IT dependency: Business units self-serve analytics without waiting for central IT 

  • £500K-£2M annual savings: From automated regulatory reporting, reduced asset failures, and optimized operations 

  • New revenue streams: Licensing datasets to EV charging providers, academic researchers, and local governments 

  • Faster innovation cycles: Cross-team collaboration on predictive maintenance, demand forecasting, and customer engagement 

But these outcomes only materialise when you address the seven failure modes head-on with a proven, utility-specific approach. 

The Bottom Line: Strategic Execution Separates Success from Failure

Here's the truth about data marketplace ROI in utilities: the technology works, but the strategy often doesn't. 

With business transformation failure rates as high as 88%, utilities can't afford another expensive digital transformation disappointment. Success requires: 

  1. Realistic expectations about integration complexity and time to value 

  2. Internal-first validation before external monetiSation 

  3. Regulatory alignment to create must-have products 

  4. Containerised, reusable data products that reduce deployment friction 

  5. Measured outcomes with clear KPIs tied to business value 

  6. Ecosystem co-funding to distribute risk and guarantee demand 

  7. Operational support through managed services and proven frameworks 

Keyrus's K.Market Data Marketplace accelerator embeds these principles from day one, turning the conventional 70% failure rate into a competitive advantage for forward-thinking utilities. 

Ready to Beat the Odds? If your utility is serious about unlocking the value trapped in SCADA systems, smart meters, GIS platforms, and operational data—without falling into the common pitfalls that doom most data marketplace initiatives—let's talk. The UK utilities sector has no shortage of ambition or investment capital. What's been missing is an honest assessment of why these projects fail and a battle-tested methodology to overcome the obstacles.

Learn more about K.Market Data Marketplace and discover how leading utilities are turning data from a cost centre into a revenue engine. 

About Keyrus: Keyrus is a global leader in data intelligence and digital transformation, specialising in helping utilities monetise data assets, streamline operations, and drive innovation through proven accelerators like K.Market. Our utility-specific expertise spans energy, water, and gas sectors across the UK and Europe.  

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