Report overview
This report aims to provide a comprehensive presentation of the global market for Vehicle Recognition Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Vehicle Recognition Software. This report contains market size and forecasts of Vehicle Recognition Software in global, including the following market information:
Global Vehicle Recognition Software Market Revenue, 2018-2023, 2024-2029, ($ millions)
Global top five companies in 2022 (%)
The global Vehicle Recognition Software market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Make and Model Recognition Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Vehicle Recognition Software include Deep Vision, BitRefine Heads, Omn??iQ Inc, Sighthound, Inc., Asura Technologies, Eyedea Recognition, Rekor Systems, Inc., Adaptive Recognition Inc and PlateSmart, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Vehicle Recognition Software companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Vehicle Recognition Software Market, by Type, 2018-2023, 2024-2029 ($ millions)
Global Vehicle Recognition Software Market Segment Percentages, by Type, 2022 (%)
Make and Model Recognition
License Plate recognition
Other
Global Vehicle Recognition Software Market, by Application, 2018-2023, 2024-2029 ($ millions)
Global Vehicle Recognition Software Market Segment Percentages, by Application, 2022 (%)
Intelligent Transportation
Parking Lot Management
Military
Other
Global Vehicle Recognition Software Market, By Region and Country, 2018-2023, 2024-2029 ($ Millions)
Global Vehicle Recognition Software Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Vehicle Recognition Software revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Vehicle Recognition Software revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
Deep Vision
BitRefine Heads
Omn??iQ Inc
Sighthound, Inc.
Asura Technologies
Eyedea Recognition
Rekor Systems, Inc.
Adaptive Recognition Inc
PlateSmart
CARRIDA Technologies
Hikvision
Innova Systems Group
Smartsys Technology Pty Ltd
NDI Recognition Systems
Outline of Major Chapters:
Chapter 1: Introduces the definition of Vehicle Recognition Software, market overview.
Chapter 2: Global Vehicle Recognition Software market size in revenue.
Chapter 3: Detailed analysis of Vehicle Recognition Software company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Vehicle Recognition Software in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
