The acquisition aims to integrate granular network performance data into Accenture's existing consulting framework. This move targets the growing demand for real-time digital intelligence. Integrating artificial intelligence with network analytics promises new capabilities for technical teams. New tools will allow network operators to monitor service quality with higher accuracy.
Accenture acquires Ookla for network data
Accenture Inc. will acquire Ookla, a provider of internet performance analytics, according to a Securities Purchase Agreement[1].
The Dublin-based firm plans to integrate the Speedtest platform and network intelligence capabilities into its existing services, the deal announcement indicates[5]. This integration aims to help clients optimize digital experiences using real-time connectivity data.
Ziff Davis, Inc. is entering into this agreement with Accenture, the filing states[1]. The agreement between the two companies is dated March 2, 2026[1].
Accenture did not disclose the financial terms of the acquisition in the initial announcement. The transaction involves bringing Ookla's speed and connectivity data into Accenture's service offerings, according to reports[5].
AI meets real-time network intelligence
Accenture will combine its artificial intelligence and consulting expertise with Ookla's granular network performance data. This integration merges high-level analytical tools with specific connectivity metrics. The move aims to create a more precise method for analyzing digital infrastructure and user experiences.
Ookla provides a global dataset that tracks internet speeds and connectivity trends. This scale of data is difficult for other firms to replicate. The company's assets include Speedtest.net[3], a platform used for network performance analysis since 2006. By incorporating these datasets, Accenture can offer deeper insights into how networks function across different regions.
Clients can use these merged capabilities to troubleshoot specific network issues. The data also assists in planning future infrastructure upgrades. This capability addresses a growing demand among enterprises for data-driven digital transformation strategies. The integration allows companies to move from reactive fixes to proactive network management.
Enterprises gain better digital insights
IT leaders and network operators will gain access to more accurate tools for monitoring service quality. This shift allows technical teams to track connectivity performance with higher precision. Better visibility into network performance helps organizations reduce downtime and improve customer satisfaction.
Integrating real-time operational data with AI analytics serves as a key strategy for modernizing digital infrastructure. Companies can use these combined insights to identify service gaps before they impact end users. This approach moves network management from a reactive model to a proactive one.
The acquisition is expected to close[1] pending regulatory approvals. An early termination notice regarding the transaction was filed with the FTC.
The transaction remains subject to regulatory approvals. An early termination notice regarding the deal was filed with the FTC.
