Strip away the corporate language and Accenture's latest deal tells a clear story: the world's largest consulting firm has decided that network performance data is about to become as strategically valuable as the AI models that consume it. On Tuesday, Accenture announced it would acquire Ookla, the Seattle-based company behind household-name internet tools Speedtest and Downdetector, from digital media group Ziff Davis for $1.2 billion in cash.
The purchase covers the entirety of Ziff Davis's Connectivity division. By integrating Ookla's data products, including Speedtest, Downdetector, Ekahau, and RootMetrics, Accenture says it will help communications service providers, hyperscalers, and enterprises optimise mission-critical Wi-Fi and 5G networks. Founded in 2006, Ookla's team of approximately 430 experts specialises in software engineering, radio frequency engineering, and data science.
The numbers speak for themselves: Ookla's platform processes more than 250 million consumer-initiated tests per month and captures more than 1,000 attributes per test. That is an enormous proprietary dataset, and it is precisely what Accenture is paying a premium to own.
Network data is no longer just a lifeline for the telecoms industry; it now creates significant value across all sectors. As AI scales, the insights captured at the network, device, and application layers are essential to enhance fraud prevention in banking, smart home analytics in utilities, and traffic optimisation in retail. Accenture's pitch to its enterprise clients, in other words, is that knowing exactly how data moves across a network is a prerequisite for deploying AI reliably at scale.
Accenture CEO Julie Sweet framed it in those terms. "Modern networks have evolved from simple infrastructure into business-critical platforms," Sweet said. "By acquiring Ookla, we will help our clients across business and government scale AI safely and build the trusted data foundations they need."
What it means for Ziff Davis
For Ziff Davis, the deal is a financial lifeline dressed up as a strategic pivot. The company's Connectivity division generated $231 million in revenue last year, accounting for roughly 16 per cent of overall sales. Selling an asset that represents just a sixth of revenue for $1.2 billion is an exceptional multiple, and investors recognised it immediately: Ziff Davis shares rocketed approximately 81 per cent on the news, adding $800 million to the company's market value, which now stands at $1.9 billion. Accenture shares, by contrast, traded flat on Tuesday morning.
The proceeds are earmarked for a pressing purpose. Ziff Davis has disclosed $872 million in debt, and the $1.2 billion sale gives the media group the firepower to clear most of that burden in a single transaction. Proceeds from the transaction are expected to be used for general corporate purposes and capital allocation activities, in line with the firm's debt agreements.
Part of a broader acquisition push
The Ookla deal is not an isolated move. Accenture has been assembling capabilities at pace through early 2026. In January, the firm announced plans to acquire Faculty, a UK-based AI company and rival to Palantir, with Faculty's founder Marc Warner subsequently brought on as Accenture's new chief technology officer. In February, Accenture said it would acquire Verum Partners, an infrastructure and capital projects firm with expertise across mining, metals, transportation, and energy in South America. The Ookla acquisition, announced at Mobile World Congress 2026 in Barcelona, rounds out a three-deal run that spans AI software, infrastructure advisory, and now network intelligence data.
The acquisition is expected to help Accenture reach new customer groups interested in network quality, beyond the telecom operators served by its existing unit Umlaut. That is the cleaner way to read this: Accenture already has a telecoms consulting practice, and Ookla's data assets turbocharge it while opening doors in banking, utilities, and retail.
Data concentration and what it raises
There is a reasonable concern sitting underneath the deal's tidy logic. Ookla's Speedtest and Downdetector are consumer-facing tools trusted by millions of ordinary internet users globally, including many Australians, who use them to diagnose poor connections or check whether an outage is widespread. Folding that kind of passive, population-scale data collection into a global consulting giant raises legitimate questions about data governance and whether users' testing activity will ultimately be used to inform commercial strategies for the very telcos and enterprises those users depend on.
Advocates for stronger data regulation would argue this is exactly the kind of consolidation that concentrates informational power in too few hands. Those concerns are not frivolous. At the same time, Ookla's data has always been commercially oriented; the company's benchmarking reports have long been used by telcos, regulators, and enterprises worldwide. The acquisition changes the ownership structure, not the fundamental business model, and the transaction remains subject to customary closing conditions, including required regulatory approvals.
What the market hasn't fully priced in yet is whether regulators in any of the relevant jurisdictions will take a close look at the data-layer implications of this kind of deal. For now, both boards appear confident the transaction will clear. The question worth watching as the deal approaches its "coming months" close date is whether that confidence is warranted, and whether the enterprise AI ambitions underpinning the price tag will translate into the returns Accenture's shareholders will eventually demand.