RoboInd market brief: Edge AI Software Market is estimated at USD 2.25 billion in 2026. The report cites a CAGR of 24.83% over 2026–2031. By data modality, visual data led with a 29.98% revenue share of the edge AI software market in 2025, while auditory data is…
Market snapshot
- USD 2.25 billion in 2026
- USD 6.82 billion in 2031
Stated compound annual growth rate: 24.83% (2026–2031).
Key market signals
- By offering, solutions segment, held 62.72% of the edge AI software market share in 2025, while services are projected to expand at a 25.64% CAGR through 2031.
- By data modality, visual data led with a 29.98% revenue share of the edge AI software market in 2025, while auditory data is projected to grow at a 26.88% CAGR through 2031.
- By deployment mode, cloud accounted for 48.24% of the edge AI software market size in 2025, while on-premises deployment is expected to advance at a 25.73% CAGR through 2031.
- By end-user industry, manufacturing captured 20.99% of the edge AI software market size in 2025, while automotive and transportation is projected to expand at a 27.12% CAGR through 2031.
- By geography, North America held 34.78% share of the edge AI software market in 2025, while Asia-Pacific is projected to record the highest regional CAGR at 26.71% through 2031.
Market drivers and constraints
- Proliferation Of Internet Of Things Endpoint Data
- Demand For Low-Latency Decisioning At The Edge
- Need For Privacy-Preserving On-Device Inference
- 5G-Enabled Distributed Application Architectures
- Fleet-Scale Edge Model Operations And Orchestration
- Certification-Ready Stacks For Safety-Critical Deployments
- Heterogeneous Edge Environment Integration Complexity
- Model Optimization Limits On Constrained Devices
Competitive landscape
Public report coverage names Amazon Web Services, Inc., International Business Machines Corporation. The list reflects participants identified by the source and is not a ranking.
Reading the figures: Values follow the market definition and forecast period stated in the source report. Estimates using different scopes should not be combined without normalization.