According to the new market research report “Vehicle Recognition Software - Global Market Insights and Sales Trends 2024”, published by QYResearch, the global Vehicle Recognition Software market size is projected to reach USD 0.76 billion by 2030, at a CAGR of 10.1% during the forecast period.
- Global Vehicle Recognition Software MarketSize(US$ Million), 2019-2030
Source: QYResearch, "Vehicle Recognition Software - Global Market Insights and Sales Trends 2024”
- Global Vehicle Recognition Software Top17Players Ranking and Market Share (Ranking is based on the revenue of 2023, continually updated)
Source: QYResearch, "Vehicle Recognition Software - Global Market Insights and Sales Trends 2024”
According to QYResearch Top Players Research Center, the global key manufacturers of Vehicle Recognition Software include Motorola Solutions, OMNIQ Corp (HTS), Adaptive Recognition, Rekor (OpenALPR), Dahua Technology Co., Ltd, Neology, Perceptics, Hikvision, Q-free, Genetec, etc. In 2023, the global top 10 players had a share approximately 50.0% in terms of revenue.
- Vehicle Recognition Software,Global Market Size, Split by Product Segment
Source: QYResearch, "Vehicle Recognition Software - Global Market Insights and Sales Trends 2024”
In terms of product type, currently Cloud-based is the largest segment, hold a share of 69.8%.
- Vehicle Recognition Software,Global Market Size, Split by ApplicationSegment
Source: QYResearch, "Vehicle Recognition Software - Global Market Insights and Sales Trends 2024”
In terms of product application, currently Parking Lot is the largest segment, hold a share of 54.8%.
Based on or includes research from QYResearch: Global Vehicle Recognition Software Market Report 2024-2030.
Market Drivers:
D1: With the continuous development of computer vision, deep learning, and artificial intelligence technologies, license plate recognition technology has gradually matured and has been widely applied in practical applications.
D2: With the popularization of 5G technology and the development of the Internet of Things, the connection between vehicles and infrastructure will become closer, providing more opportunities and scenarios for the application of vehicle recognition software and systems.
D3: The application of vehicle recognition technology is becoming increasingly widespread, and now it has started to move from the transportation field to the non transportation field, such as 4S stores, repair garages, car beauty shops, gas stations, charging stations, construction sites, and other fields.
About Analyst
Chirs Ma - Main Analyst of this Article
Email: maciqiang@qyresearch.com
Mr. Ma has 9 years of industry research experience, focusing on mechanical equipment, medical beauty and health, semiconductor equipment and other fields. Some of his in-depth research topics include semiconductor etching equipment, hyaluronic acid-based skin fillers, industrial hoses, slip rings, EMS and ODM, etc.
About QYResearch
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