20+ Computer Vision Statistics (2025)

global computer vision market size in 2025 — projected to reach $58.29 billion by 2030

The CV market is growing at a 19.8% CAGR (2025–2030), driven by quality inspection, autonomous systems, and medical imaging.

in machine vision revenue within the broader $757.58B AI market — reflecting CV's industrial scale

Machine vision within the AI market is much larger than the standalone CV market because it includes embedded vision in AI systems.

global CV market size in 2024 — establishing the baseline for 19.8% CAGR growth

Year-over-year growth from $19.82B (2024) to $23.62B (2025) represents a 19.2% increase, consistent with forward projections.

CAGR for the computer vision market from 2025 to 2030

Steady double-digit growth reflects expanding use cases in automotive, healthcare, retail, and industrial automation.

of the computer vision market revenue comes from hardware — cameras, sensors, GPUs, and processors

Hardware dominance reflects the sensor-intensive nature of CV: industrial cameras, LiDAR, depth sensors, and edge AI processors.

of the CV market is software — computer vision platforms, APIs, and analytics tools

Software is the faster-growing segment as cloud-based CV APIs and edge inference platforms reduce the need for custom hardware.

annual decline in AI hardware costs — making computer vision deployment more affordable

Cheaper GPUs (NVIDIA, AMD) and purpose-built vision processors (Google TPUs, Intel Movidius) lower the barrier for CV adoption.

annual improvement in AI energy efficiency — critical for always-on computer vision systems

CV systems run continuously in factories, hospitals, and vehicles — energy efficiency directly impacts operational cost and feasibility.

of the global computer vision market revenue comes from Asia Pacific — the largest regional share

Asia Pacific leads due to massive manufacturing scale in China, Japan, and South Korea, plus automotive and electronics demand.

of the CV market is held by North America — driven by tech giants and autonomous vehicle R&D

North America is the second-largest region, led by NVIDIA, Google, Intel, and autonomous vehicle companies like Waymo and Tesla.

of the broader AI market held by North America — providing infrastructure for CV innovation

North America's overall AI leadership creates the R&D ecosystem, cloud infrastructure, and talent pipeline that CV companies depend on.

total AI market size in 2025 — of which computer vision captures a growing share

CV's $23.62B market is roughly 3% of total AI spending, but growing as visual AI moves from niche to mainstream.

is the dominant application segment for computer vision — powered by manufacturing demand

Quality assurance and inspection drive the most CV revenue, with automated visual inspection replacing manual quality checks.

in AI revenue from manufacturing in 2024 — a major driver of industrial computer vision

Manufacturing's large AI spend includes CV for defect detection, robot guidance, packaging verification, and safety monitoring.

CAGR for healthcare AI — propelling CV in medical imaging, pathology, and diagnostics

Medical imaging is one of CV's highest-value applications: radiology, retinal screening, pathology slide analysis, and surgical guidance.

of organisations report positive ROI from AI within the first year — including CV deployments

CV projects in visual inspection, security, and healthcare deliver fast payback due to replacing labour-intensive manual processes.

of organisations expect to use physical AI (including CV) — growing from 58% today to 80% within 2 years

Physical AI — robots, drones, autonomous vehicles — all depend on computer vision as their primary sensing modality.

of organisations plan to deploy AI agents within 1–3 years — many requiring vision capabilities

Multimodal AI agents that can see, understand, and act on visual information represent the convergence of CV and agentic AI.

decrease in AI inference costs — making real-time computer vision economically viable at scale

Plummeting inference costs mean CV can be deployed continuously on video streams rather than selectively on still images.

as many leaders report AI is having transformative impact — including visual AI applications

Computer vision's move from experimental to transformative mirrors the broader AI maturity curve across enterprises.