Global Vehicle Recognition Software 麻豆原创 Growth (Status and Outlook) 2025-2031

Publication ID:

LPI04253401

Publication Date:

April 22, 2025

Pages:

126

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

Manufacturing (Automotive) [2]

Components [3]

Automotive [4]

Description:

The global Vehicle Recognition Software market size is predicted to grow from US$ 451 million in 2025 to US$ 830 million in 2031; it is expected to grow at a CAGR of 10.7% from 2025 to 2031.
Vehicle recognition software typically combines with vehicle recognition cameras and other hardware to form a vehicle recognition system. By applying advanced image processing, deep learning algorithms, and license plate recognition technology, it achieves automatic recognition and information collection of vehicles.
Global key players of Vehicle Recognition Software include Motorola Solutions, OMNIQ Corp (HTS), Adaptive Recognition and Dahua Technology Co., Ltd, etc. The top four players hold a share about 30%. Japan is the largest market, has a share about 45%. In terms of product type, Cloud-based is the largest segment, occupied for a share of about 70%, and in terms of application, Parking Lot has a share about 55 percent.
The 鈥淰ehicle Recognition Software Industry Forecast鈥� looks at past sales and reviews total world Vehicle Recognition Software sales in 2024, providing a comprehensive analysis by region and market sector of projected Vehicle Recognition Software sales for 2025 through 2031. With Vehicle Recognition Software sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Vehicle Recognition Software industry.
This Insight Report provides a comprehensive analysis of the global Vehicle Recognition Software landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Vehicle Recognition Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms鈥� unique position in an accelerating global Vehicle Recognition Software market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Vehicle Recognition Software and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Vehicle Recognition Software.
This report presents a comprehensive overview, market shares, and growth opportunities of Vehicle Recognition Software market by product type, application, key players and key regions and countries.
Segmentation by Type:
On-premise
Cloud-based
Segmentation by Application:
Traffic Control
Parking Lot
Other
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Motorola Solutions
OMNIQ Corp (HTS)
Adaptive Recognition
Dahua Technology Co., Ltd
Neology
Perceptics
Hikvision
Rekor (OpenALPR)
Q-free
Genetec
Jenoptik(Vysionics)
Neural Labs
Inex Tech
Vaxtor
Cyclops Technologies
ISS
NDI Recognition Systems

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Scope of the Report
1.1 麻豆原创 Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 麻豆原创 Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 麻豆原创 Estimation Caveats
2 Executive Summary
2.1 World 麻豆原创 Overview
2.1.1 Global Vehicle Recognition Software 麻豆原创 Size (2020-2031)
2.1.2 Vehicle Recognition Software 麻豆原创 Size CAGR by Region (2020 VS 2024 VS 2031)
2.1.3 World Current & Future Analysis for Vehicle Recognition Software by Country/Region (2020, 2024 & 2031)
2.2 Vehicle Recognition Software Segment by Type
2.2.1 On-premise
2.2.2 Cloud-based
2.3 Vehicle Recognition Software 麻豆原创 Size by Type
2.3.1 Vehicle Recognition Software 麻豆原创 Size CAGR by Type (2020 VS 2024 VS 2031)
2.3.2 Global Vehicle Recognition Software 麻豆原创 Size 麻豆原创 Share by Type (2020-2025)
2.4 Vehicle Recognition Software Segment by Application
2.4.1 Traffic Control
2.4.2 Parking Lot
2.4.3 Other
2.5 Vehicle Recognition Software 麻豆原创 Size by Application
2.5.1 Vehicle Recognition Software 麻豆原创 Size CAGR by Application (2020 VS 2024 VS 2031)
2.5.2 Global Vehicle Recognition Software 麻豆原创 Size 麻豆原创 Share by Application (2020-2025)
3 Vehicle Recognition Software 麻豆原创 Size by Player
3.1 Vehicle Recognition Software 麻豆原创 Size 麻豆原创 Share by Player
3.1.1 Global Vehicle Recognition Software Revenue by Player (2020-2025)
3.1.2 Global Vehicle Recognition Software Revenue 麻豆原创 Share by Player (2020-2025)
3.2 Global Vehicle Recognition Software Key Players Head office and Products Offered
3.3 麻豆原创 Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2023-2025)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Vehicle Recognition Software by Region
4.1 Vehicle Recognition Software 麻豆原创 Size by Region (2020-2025)
4.2 Global Vehicle Recognition Software Annual Revenue by Country/Region (2020-2025)
4.3 Americas Vehicle Recognition Software 麻豆原创 Size Growth (2020-2025)
4.4 APAC Vehicle Recognition Software 麻豆原创 Size Growth (2020-2025)
4.5 Europe Vehicle Recognition Software 麻豆原创 Size Growth (2020-2025)
4.6 Middle East & Africa Vehicle Recognition Software 麻豆原创 Size Growth (2020-2025)
5 Americas
5.1 Americas Vehicle Recognition Software 麻豆原创 Size by Country (2020-2025)
5.2 Americas Vehicle Recognition Software 麻豆原创 Size by Type (2020-2025)
5.3 Americas Vehicle Recognition Software 麻豆原创 Size by Application (2020-2025)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Vehicle Recognition Software 麻豆原创 Size by Region (2020-2025)
6.2 APAC Vehicle Recognition Software 麻豆原创 Size by Type (2020-2025)
6.3 APAC Vehicle Recognition Software 麻豆原创 Size by Application (2020-2025)
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Vehicle Recognition Software 麻豆原创 Size by Country (2020-2025)
7.2 Europe Vehicle Recognition Software 麻豆原创 Size by Type (2020-2025)
7.3 Europe Vehicle Recognition Software 麻豆原创 Size by Application (2020-2025)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Vehicle Recognition Software by Region (2020-2025)
8.2 Middle East & Africa Vehicle Recognition Software 麻豆原创 Size by Type (2020-2025)
8.3 Middle East & Africa Vehicle Recognition Software 麻豆原创 Size by Application (2020-2025)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 麻豆原创 Drivers, Challenges and Trends
9.1 麻豆原创 Drivers & Growth Opportunities
9.2 麻豆原创 Challenges & Risks
9.3 Industry Trends
10 Global Vehicle Recognition Software 麻豆原创 Forecast
10.1 Global Vehicle Recognition Software Forecast by Region (2026-2031)
10.1.1 Global Vehicle Recognition Software Forecast by Region (2026-2031)
10.1.2 Americas Vehicle Recognition Software Forecast
10.1.3 APAC Vehicle Recognition Software Forecast
10.1.4 Europe Vehicle Recognition Software Forecast
10.1.5 Middle East & Africa Vehicle Recognition Software Forecast
10.2 Americas Vehicle Recognition Software Forecast by Country (2026-2031)
10.2.1 United States 麻豆原创 Vehicle Recognition Software Forecast
10.2.2 Canada 麻豆原创 Vehicle Recognition Software Forecast
10.2.3 Mexico 麻豆原创 Vehicle Recognition Software Forecast
10.2.4 Brazil 麻豆原创 Vehicle Recognition Software Forecast
10.3 APAC Vehicle Recognition Software Forecast by Region (2026-2031)
10.3.1 China Vehicle Recognition Software 麻豆原创 Forecast
10.3.2 Japan 麻豆原创 Vehicle Recognition Software Forecast
10.3.3 Korea 麻豆原创 Vehicle Recognition Software Forecast
10.3.4 Southeast Asia 麻豆原创 Vehicle Recognition Software Forecast
10.3.5 India 麻豆原创 Vehicle Recognition Software Forecast
10.3.6 Australia 麻豆原创 Vehicle Recognition Software Forecast
10.4 Europe Vehicle Recognition Software Forecast by Country (2026-2031)
10.4.1 Germany 麻豆原创 Vehicle Recognition Software Forecast
10.4.2 France 麻豆原创 Vehicle Recognition Software Forecast
10.4.3 UK 麻豆原创 Vehicle Recognition Software Forecast
10.4.4 Italy 麻豆原创 Vehicle Recognition Software Forecast
10.4.5 Russia 麻豆原创 Vehicle Recognition Software Forecast
10.5 Middle East & Africa Vehicle Recognition Software Forecast by Region (2026-2031)
10.5.1 Egypt 麻豆原创 Vehicle Recognition Software Forecast
10.5.2 South Africa 麻豆原创 Vehicle Recognition Software Forecast
10.5.3 Israel 麻豆原创 Vehicle Recognition Software Forecast
10.5.4 Turkey 麻豆原创 Vehicle Recognition Software Forecast
10.6 Global Vehicle Recognition Software Forecast by Type (2026-2031)
10.7 Global Vehicle Recognition Software Forecast by Application (2026-2031)
10.7.1 GCC Countries 麻豆原创 Vehicle Recognition Software Forecast
11 Key Players Analysis
11.1 Motorola Solutions
11.1.1 Motorola Solutions Company Information
11.1.2 Motorola Solutions Vehicle Recognition Software Product Offered
11.1.3 Motorola Solutions Vehicle Recognition Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.1.4 Motorola Solutions Main Business Overview
11.1.5 Motorola Solutions Latest Developments
11.2 OMNIQ Corp (HTS)
11.2.1 OMNIQ Corp (HTS) Company Information
11.2.2 OMNIQ Corp (HTS) Vehicle Recognition Software Product Offered
11.2.3 OMNIQ Corp (HTS) Vehicle Recognition Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.2.4 OMNIQ Corp (HTS) Main Business Overview
11.2.5 OMNIQ Corp (HTS) Latest Developments
11.3 Adaptive Recognition
11.3.1 Adaptive Recognition Company Information
11.3.2 Adaptive Recognition Vehicle Recognition Software Product Offered
11.3.3 Adaptive Recognition Vehicle Recognition Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.3.4 Adaptive Recognition Main Business Overview
11.3.5 Adaptive Recognition Latest Developments
11.4 Dahua Technology Co., Ltd
11.4.1 Dahua Technology Co., Ltd Company Information
11.4.2 Dahua Technology Co., Ltd Vehicle Recognition Software Product Offered
11.4.3 Dahua Technology Co., Ltd Vehicle Recognition Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.4.4 Dahua Technology Co., Ltd Main Business Overview
11.4.5 Dahua Technology Co., Ltd Latest Developments
11.5 Neology
11.5.1 Neology Company Information
11.5.2 Neology Vehicle Recognition Software Product Offered
11.5.3 Neology Vehicle Recognition Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.5.4 Neology Main Business Overview
11.5.5 Neology Latest Developments
11.6 Perceptics
11.6.1 Perceptics Company Information
11.6.2 Perceptics Vehicle Recognition Software Product Offered
11.6.3 Perceptics Vehicle Recognition Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.6.4 Perceptics Main Business Overview
11.6.5 Perceptics Latest Developments
11.7 Hikvision
11.7.1 Hikvision Company Information
11.7.2 Hikvision Vehicle Recognition Software Product Offered
11.7.3 Hikvision Vehicle Recognition Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.7.4 Hikvision Main Business Overview
11.7.5 Hikvision Latest Developments
11.8 Rekor (OpenALPR)
11.8.1 Rekor (OpenALPR) Company Information
11.8.2 Rekor (OpenALPR) Vehicle Recognition Software Product Offered
11.8.3 Rekor (OpenALPR) Vehicle Recognition Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.8.4 Rekor (OpenALPR) Main Business Overview
11.8.5 Rekor (OpenALPR) Latest Developments
11.9 Q-free
11.9.1 Q-free Company Information
11.9.2 Q-free Vehicle Recognition Software Product Offered
11.9.3 Q-free Vehicle Recognition Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.9.4 Q-free Main Business Overview
11.9.5 Q-free Latest Developments
11.10 Genetec
11.10.1 Genetec Company Information
11.10.2 Genetec Vehicle Recognition Software Product Offered
11.10.3 Genetec Vehicle Recognition Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.10.4 Genetec Main Business Overview
11.10.5 Genetec Latest Developments
11.11 Jenoptik(Vysionics)
11.11.1 Jenoptik(Vysionics) Company Information
11.11.2 Jenoptik(Vysionics) Vehicle Recognition Software Product Offered
11.11.3 Jenoptik(Vysionics) Vehicle Recognition Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.11.4 Jenoptik(Vysionics) Main Business Overview
11.11.5 Jenoptik(Vysionics) Latest Developments
11.12 Neural Labs
11.12.1 Neural Labs Company Information
11.12.2 Neural Labs Vehicle Recognition Software Product Offered
11.12.3 Neural Labs Vehicle Recognition Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.12.4 Neural Labs Main Business Overview
11.12.5 Neural Labs Latest Developments
11.13 Inex Tech
11.13.1 Inex Tech Company Information
11.13.2 Inex Tech Vehicle Recognition Software Product Offered
11.13.3 Inex Tech Vehicle Recognition Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.13.4 Inex Tech Main Business Overview
11.13.5 Inex Tech Latest Developments
11.14 Vaxtor
11.14.1 Vaxtor Company Information
11.14.2 Vaxtor Vehicle Recognition Software Product Offered
11.14.3 Vaxtor Vehicle Recognition Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.14.4 Vaxtor Main Business Overview
11.14.5 Vaxtor Latest Developments
11.15 Cyclops Technologies
11.15.1 Cyclops Technologies Company Information
11.15.2 Cyclops Technologies Vehicle Recognition Software Product Offered
11.15.3 Cyclops Technologies Vehicle Recognition Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.15.4 Cyclops Technologies Main Business Overview
11.15.5 Cyclops Technologies Latest Developments
11.16 ISS
11.16.1 ISS Company Information
11.16.2 ISS Vehicle Recognition Software Product Offered
11.16.3 ISS Vehicle Recognition Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.16.4 ISS Main Business Overview
11.16.5 ISS Latest Developments
11.17 NDI Recognition Systems
11.17.1 NDI Recognition Systems Company Information
11.17.2 NDI Recognition Systems Vehicle Recognition Software Product Offered
11.17.3 NDI Recognition Systems Vehicle Recognition Software Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
11.17.4 NDI Recognition Systems Main Business Overview
11.17.5 NDI Recognition Systems Latest Developments
12 Research Findings and Conclusion

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.