Accenture to acquire Ookla: what it means for network, AI, and ops teams
March 3, 2026 - Accenture has agreed to acquire Ookla, the company behind Speedtest, Downdetector, Ekahau, and RootMetrics. The goal: fuse granular network data with AI to help CSPs, cloud providers, and enterprises optimize Wi-Fi and 5G where uptime, latency, and experience drive revenue.
Ookla's platform captures more than 1,000 attributes per test and runs over 250 million consumer-initiated tests each month, complemented by controlled drive, walk, and embedded testing. That mix spans QoS, RF signal, and QoE - the ingredients you need to predict incidents, tune capacity, and validate experience at scale.
Why this matters
AI runs on data quality, not just model size. If your telemetry ignores real user experience or RF conditions, your forecasts, SLOs, and incident response will drift. Pairing device-, app-, and network-level signals with AI gives you a tighter feedback loop: detect earlier, route smarter, and spend where it actually reduces risk.
What Ookla brings to the stack
- Speedtest + RootMetrics: Measure and benchmark performance the way users feel it - per location, carrier, device, and time window.
- Downdetector: External signal for incident detection and blast radius - a fast sanity check against your internal alerts.
- Ekahau: RF site surveys and troubleshooting for Wi-Fi that supports voice, AR/VR, and dense client environments.
- Data depth: More than 1,000 attributes per test across network, device, and application layers for better correlation and modeling.
Impact by segment
- CSPs: Use autonomous network concepts with real-time metrics and predictive simulations to sharpen capex planning, prioritize buildouts, and cut opex with targeted fixes.
- Hyperscalers and cloud providers: Stress-test network paths to AI infrastructure and edge sites where most inference runs; validate latency budgets against SLOs and queue depth.
- Enterprises: Design and troubleshoot private 5G and business-critical Wi-Fi with Ekahau; integrate QoE into app rollouts, voice/video readiness, and zero-trust access policies.
What leaders are saying
"Modern networks have evolved from simple infrastructure into business-critical platforms," said Julie Sweet, chair and CEO, Accenture. "Without the ability to measure performance, organizations cannot optimize experience, revenue, or security."
"Speedtest and RootMetrics define the experience; Downdetector identifies incidents faster; and Ekahau drives digital workplace transformation through superior Wi-Fi," added Manish Sharma, chief strategy and services officer, Accenture. "In an era of omni-channel and agentic access, low-latency, zero-friction connectivity is a competitive necessity."
Stephen Bye, CEO of Ookla, said the combined capabilities will "redefine how the world measures, understands and experiences connectivity."
Practical plays for IT, Dev, and Ops
- Treat QoE as a first-class signal: Feed Speedtest and RootMetrics data into AIOps/observability to correlate latency and jitter with churn, NPS, and cart completion.
- Tighten incident detection: Use Downdetector as an external canary to confirm provider issues, reduce MTTR, and improve comms during outages.
- Close the Wi-Fi gap: Run Ekahau surveys for critical spaces (conference rooms, clinics, warehouses). Validate roaming, retry rates, and voice readiness before app launches.
- Budget with evidence: Prioritize upgrades where QoE deltas are largest, not where the loudest tickets come from. Tie spend to measurable SLO improvements.
- Secure AI workloads: Map last-mile constraints to model/API latency targets. Enforce per-region SLOs for edge inference and failover paths.
- Test like users: Incorporate device diversity and peak windows into performance testing. Model worst-case latency and packet loss, then verify in production.
Use cases beyond telecom
- Banking: Blend network and device signals with transaction risk engines to improve fraud detection without spiking false positives.
- Utilities and smart home: Tie connectivity performance to device telemetry to cut truck rolls and boost first-time fix rates.
- Retail: Optimize PoS and app experiences with location-level latency and failover testing; protect peak events with pre-validated paths.
Deal details
Ookla, founded in 2006 and a division of Ziff Davis, brings a team of about 430 experts across software engineering, RF engineering, and data science. The transaction is subject to customary closing conditions and required regulatory approvals. Terms were not disclosed. Certain statements related to the acquisition are forward-looking.
If you're scaling network-aware AI
- Build a unified telemetry lake for QoS, RF, and QoE.
- Expose QoE features to your feature store for forecasting and SLO policy.
- Instrument pre-/post-change windows with synthetic and real user tests.
- Report in business terms: checkout latency, call setup time, stream start failures - not just throughput.
Next step
If you're planning AI-driven network automation or monitoring, this learning path can help your team get the fundamentals right: AI Learning Path for Network Engineers.
Bottom line: By combining Ookla's network intelligence with Accenture's services, IT and Ops teams get a richer dataset to improve availability, performance, and security where it matters - at the point of experience.
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