็™ป้Œฒใ—ใฆๆ‹›ๅพ…ใƒชใƒณใ‚ฏใ‚’ๅ…ฑๆœ‰ใ™ใ‚‹ใจใ€ๅ‹•็”ปๅ†็”Ÿๅ ฑ้…ฌใจ็ดนไป‹ๅ ฑ้…ฌใ‚’็ฒๅพ—ใงใใพใ™ใ€‚

Counterpoint Research
@CounterPointTR
Global Technology Industry Research, Analysis & Strategic Consulting Firm
ๅ‚ๅŠ  August 2013
65 ใƒ•ใ‚ฉใƒญใƒผไธญ    10.1K ใƒ•ใ‚กใƒณ
๐—”๐—œ ๐—ถ๐—ป ๐—ฉ๐—ถ๐—ฑ๐—ฒ๐—ผ ๐—ฆ๐˜‚๐—ฟ๐˜ƒ๐—ฒ๐—ถ๐—น๐—น๐—ฎ๐—ป๐—ฐ๐—ฒ: ๐—–๐—ฎ๐—บ๐—ฒ๐—ฟ๐—ฎ, ๐—•๐—ผ๐˜… ๐—ผ๐—ฟ ๐—›๐˜†๐—ฏ๐—ฟ๐—ถ๐—ฑ? The global AI video surveillance hardware market is projected to nearly triple, from $8.9B in 2026 to $24.6B in 2030. That makes the choice of where AI processing happens both a performance decision and a budget decision. ๐—ž๐—ฒ๐˜† ๐—ง๐—ฎ๐—ธ๐—ฒ๐—ฎ๐˜„๐—ฎ๐˜†๐˜€: โ€ข On-camera AI wins on latency and standalone reliability. Axis Communications (in-house ARTPEC chips), Hanwha Vision (dual-NPU Wisenet 9 SoC), Hikvision and Dahua Technology lead here. โ€ข Edge AI boxes win on retrofit economics. @MotoSolutions' Avigilon and @HanwhaVision's AIB-800 add analytics to existing, mixed-brand camera networks without replacing every camera. โ€ข Hybrid AI splits the workload. Cameras handle time-sensitive alerts, and edge devices handle cross-camera tracking and shared watchlists. ๐—ฅ๐—ฒ๐—ฎ๐—ฑ ๐˜๐—ต๐—ฒ ๐—ณ๐˜‚๐—น๐—น ๐—ฎ๐—ฟ๐˜๐—ถ๐—ฐ๐—น๐—ฒ: @HikvisionUSAinc @AxisIPVideo #VideoSurveillance# #EdgeAI# #AI# #PhysicalSecurity# #SmartCameras# #CounterpointResearch#
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