2026 Edge AI Strategy Landscape

The new era of edge AI: From experiment to enterprise engine

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The AI experimental phase is officially over. For most organizations, the conversation has moved from "does it work?" to "how do we scale?" With localized inference now driving everyday enterprise operations, expanding your AI footprint requires navigating new, practical realities.

The 2026 Edge AI Strategy Landscape report, a custom study by Omdia on behalf of Google Cloud and Intel, provides the benchmarks you need to expand your edge infrastructure and start delivering real-time value.

Scale with Confidence: Prepare for the new hybrid enterprise standard, with a 190% increase in localized edge deployments projected over the next five years.
Prioritize Security: Discover why 42% of leaders are moving Gen AI workloads on-premises to guarantee confidentiality and meet strict digital sovereignty requirements.
Shift from Cost Center to Revenue Driver: Ground your financial expectations in reality. Currently, 71% of organizations report that their Total Cost of Ownership (TCO) is better than expected for edge AI. Furthermore, almost 2 in 3 respondents expect their edge activities to generate 11% or more in new revenue.
Explore Industry-Specific Insights: Uncover targeted strategies and benchmarks for the specific sectors leading edge adoption across Retail, Manufacturing, Financial Services, and Healthcare.