Ambarella edge AI growth drives $22.9 billion market forecast revision

Ambarella is pivoting from a pure-play chip supplier to an ecosystem provider by leveraging low-power AI accelerators that challenge incumbents like NVIDIA and Qualcomm in power-constrained environments. This shift signals a broader industry move toward local processing for data-rich video applications, reducing reliance on expensive cloud-only AI workflows. For the streaming and security sectors, this efficiency enables more sophisticated on-device perception without the latency or bandwidth costs of centralized compute. As the company rolls out its 2nm CV8 semi-custom strategy, the market must track whether Ambarella can successfully pass through rising memory costs to customers without dampening the current 20% CAGR trajectory.

Nokia is building a multi-layer agentic AI stack that directly competes with Ericsson's approach to autonomous network operations. At DTW IGNITE 2026 in Copenhagen, Nokia teamed up with Google Cloud to build six specialized AI agents using Gemini technology capable of triaging network issues, recommending remediation steps, and reducing problem-solving times by 50% to 80%. The initial agent cohort includes a router agent for orchestration, an event triage agent for alarm analysis, and an anomaly reasoner that distinguishes real issues from false alarms. Nokia plans to launch the platform on Google Cloud Marketplace in September 2026, with additional agents for topology, services design, and security in its pipeline. The competitive divergence between Nokia and Ericsson on AI-RAN architecture is sharpening. Light Reading reported that Nokia's entire RAN strategy is now built on its partnership with Nvidia, cemented by the chipmaker's $1 billion investment, with all Layer 1 functions designed to run on Nvidia GPUs via CUDA. Ericsson, by contrast, restricts GPU usage to forward error correction only, running all other L1 software on CPUs. Meanwhile, Ericsson launched its AI in RAN commercial software subscription on June 11, 2026, claiming up to 20% higher downlink throughput and up to 10% better spectral efficiency across more than 15 live deployments using existing baseband silicon. Nokia is also assembling infrastructure partnerships to support its Autonomous Network Fabric vision. Nokia combined with AWS and Databricks to build a unified telco AI control layer, with Databricks handling the data layer to consolidate fragmented operational silos and AWS providing the cloud environment for edge workloads and AI models. Nokia claims its autonomous networks portfolio is already delivering automation rates above 90%, service delivery times under four hours, and up to 85% reduction in slice rollout time. Verizon disclosed that its 60,000-site vRAN network is now applying agentic AI to configuration changes and service assurance, while publicly calling for industry-wide interoperability standards for agentic systems, a gap that mirrors the early Open RAN interoperability challenges. For related background, see .