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Counterpoint Research
@CounterPointTR
Global Technology Industry Research, Analysis & Strategic Consulting Firm
Joined August 2013
65 Following    10.1K Followers
𝗔𝗜 đ—ļđ—ģ 𝗩đ—ļ𝗱𝗲đ—ŧ đ—Ļ𝘂đ—ŋ𝘃𝗲đ—ļ𝗹𝗹𝗮đ—ģ𝗰𝗲: 𝗖𝗮đ—ē𝗲đ—ŋ𝗮, 𝗕đ—ŧ𝘅 đ—ŧđ—ŋ đ—›đ˜†đ—¯đ—ŋđ—ļ𝗱? 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. 𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀: â€ĸ 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. â€ĸ 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. â€ĸ Hybrid AI splits the workload. Cameras handle time-sensitive alerts, and edge devices handle cross-camera tracking and shared watchlists. đ—Ĩ𝗲𝗮𝗱 𝘁đ—ĩ𝗲 đ—ŗđ˜‚đ—šđ—š 𝗮đ—ŋ𝘁đ—ļ𝗰𝗹𝗲: @HikvisionUSAinc @AxisIPVideo #VideoSurveillance# #EdgeAI# #AI# #PhysicalSecurity# #SmartCameras# #CounterpointResearch#
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