Keysight Technologies announced a definitive agreement to acquire Ixia in an all-cash transaction totaling approximately $1.6 billion in consideration, net of cash.
The Board of Directors of both companies have unanimously approved the transaction, which is anticipated to close no later than the end of October 2017 and is subject to customary closing conditions and approvals.
“The proposed acquisition of Ixia is in direct alignment with our strategy to transform Keysight for growth and is 100% complementary to our business,” said Ron Nersesian, Keysight President and CEO. “The combination creates a powerful innovation engine to fuel growth, expands our software-centric solutions and builds new opportunities through sales and technology leverage. Ixia also brings a world-class level of talent, and together, we will provide leading-edge solutions that address the fastest-growing communications and networking trends including 5G, IoT, visibility, security and application performance.”
The combination of Keysight and Ixia brings together two complementary companies that span electronic design, device and network validation, and application and security performance. Ixia has an IP portfolio that encompasses network communications, visibility, application and security technologies with solutions deeply rooted in software. Additionally, Ixia’s IP includes extensive networking and wireless protocols that will extend Keysight’s position in wireless communications and create a unique combination of Layer 1 through 7 end-to-end solutions that address fast-growing segments of the 5G communications design and test ecosystem.
“We are confident that Keysight is the ideal partner to accelerate our growth initiatives and will continue to build upon our successful 20-year history,” said Bethany Mayer, Ixia president and CEO. “Ixia and Keysight share many of the same values including our dedication to innovation of leading-edge technologies, and commitment to operational excellence and financial discipline, which combine to create value for shareholders. We also have industry leading IP portfolios that are complementary, deep technical prowess and amazing teams. We believe that together, Ixia and Keysight have a tremendous opportunity to further strengthen our market leading positions and create unprecedented value for our customers, partners, employees and shareholders. The transaction also provides Ixia shareholders significant cash value at a substantial premium to market.”
The transaction, which is expected to be completed no later than the end of October 2017, is subject to approval by Ixia shareholders, regulatory approvals, including expiration or termination of the applicable waiting period under the Hart-Scott-Rodino Antitrust Improvements Act, as well as other customary closing conditions.
The Latest
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.