AI-Assisted Photo Analysis Automates Defect Flagging at Scale
Vendors across the category are deploying computer vision models trained to identify common construction defects directly from inspection photos, flagging likely issues automatically rather than requiring an inspector to manually document every item during a physical walkthrough. MMA's Q4 2025 primary research found AI-assisted defect flagging features present in a meaningfully growing share of new platform deployments, with general contractors citing reduced inspection time as the primary adoption reason. This shift is letting smaller inspection teams cover more square footage per visit than previously possible. Vendors continue refining model accuracy across an expanding library of common defect categories.
Market Impact: Drives 66% of new software purchases








