Google's record-breaking $32 billion purchase of cloud security startup Wiz topped a year of massive technology acquisitions, according to a ranking published by CRN in September 2026. The list of the 10 largest tech mergers and acquisitions announced or completed in the first eight months of 2026 shows major IT companies aggressively expanding their capabilities, with artificial intelligence serving as a central driver behind many deals.
The year's biggest transactions included Palo Alto Networks' $25 billion acquisition of identity security firm CyberArk, which closed in February, and IBM's $11 billion purchase of real-time data platform developer Confluent, completed in March. Nvidia struck a $12.9 billion agreement to buy open model repository developer Hugging Face in August, though that deal won't close until the first half of 2027. ServiceNow completed a $7.75 billion acquisition of cyber exposure management technology developer Armis in April. Salesforce announced plans in June to buy AI-based customer service software maker Fin for roughly $3.6 billion, with a closing date set for January 2027. Beyond the top deals, Lenovo finished acquiring Israeli storage company Infinidat in April for an estimated $500 million to $1.5 billion, immediately strengthening its position against rivals HPE and Dell in the data center infrastructure market. SAP made two data management acquisitions—master data management platform Reltio for around $1.8 billion and data lakehouse platform Dremio for roughly $2 billion—to expand its Business Data Cloud capabilities. Snowflake bought observability platform developer Observe for $640 million in cash and stock in February. Channel solution provider Myriad360 acquired AI infrastructure player Advizex in a February deal that combined networking expertise with infrastructure muscle, creating what the report called "a new Nvidia platform powerhouse."
The report says AI technology, particularly agentic AI, continues reshaping every part of the IT industry and drives many of the year's largest acquisition deals. According to CRN, several multi-billion-dollar deals that were initially announced in 2025 reached completion in the first eight months of 2026, including Google's Wiz purchase, Palo Alto Networks' CyberArk acquisition, and IBM's Confluent deal. The publication notes that while dollar value certainly factored into the ranking, some mergers and acquisitions carry greater impact on the IT industry overall and the channel specifically, which also influenced the list's order.
The report explains that cybersecurity emerged as one of the hottest acquisition areas, with dozens of deals beyond the top 10 involving larger players buying smaller companies or startups with specialized technology needed to strengthen security offerings. Examples included Okta buying identity threat detection firm Permiso Security, Cisco acquiring identity security technology provider Astrix, and Arctic Wolf purchasing exposure management developer Sevco. Observability technology also attracted significant acquisition activity, with Dynatrace acquiring AI observability startup Arize in August and Cisco buying AI observability specialist Galileo Technologies in April to expand its Splunk Observability Platform. The channel saw active merger activity as well, with New York-based solution provider Net at Work completing six acquisitions in 2026 and Computacenter striking a May deal to buy Government Acquisitions Inc., gaining entry to the U.S. federal government IT sector.
Google and Wiz said they're now building a unified security platform to improve the speed at which organizations can detect, prevent, and respond to increasingly sophisticated threats in an AI world, with plans to integrate Wiz with Google's Gemini AI technology while maintaining Wiz support for AWS and Microsoft cloud platforms. Palo Alto Networks executives said the CyberArk deal filled a gap in the company's broad cybersecurity platform and crucially helps position the firm at the center of organizations' efforts to provide security for agentic AI. IBM stated that combining Confluent's platform with its own technology portfolio creates a "smart data platform" that gives every AI model, agent, and automated workflow the real-time, trusted data needed to operate across on-premises and hybrid cloud environments at scale. The wave of consolidation reflects an industry betting that the shift from AI experimentation to production deployment will require integrated platforms rather than point solutions. Companies that can't offer end-to-end capabilities covering data management, security, observability, and AI operations may find themselves squeezed out as customers demand fewer vendors and tighter integration.