Global Vehicle Recognition Software Market Research Report 2025

Publication ID:

PB503253904

Publication Date:

March 7, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

Manufacturing (Automotive) [2]

Automotive [3]

Description:

The global market for Vehicle Recognition Software was valued at US$ 422 million in the year 2024 and is projected to reach a revised size of US$ 831 million by 2031, growing at a CAGR of 10.3% during the forecast period.
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.
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.
The Vehicle Recognition Software market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Vehicle Recognition Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Vehicle Recognition Software companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
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
Segment by Type
On-premise
Cloud-based
Segment by Application
Traffic Control
Parking Lot
Other
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Vehicle Recognition Software company competitive landscape, revenue 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, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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, and capacity of each country in the world.
Chapter 11: 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 12: The main points and conclusions of the report.

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

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Vehicle Recognition Software Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 On-premise
1.2.3 Cloud-based
1.3 Market by Application
1.3.1 Global Vehicle Recognition Software Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Traffic Control
1.3.3 Parking Lot
1.3.4 Other
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Vehicle Recognition Software Market Perspective (2020-2031)
2.2 Global Vehicle Recognition Software Growth Trends by Region
2.2.1 Global Vehicle Recognition Software Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 Vehicle Recognition Software Historic Market Size by Region (2020-2025)
2.2.3 Vehicle Recognition Software Forecasted Market Size by Region (2026-2031)
2.3 Vehicle Recognition Software Market Dynamics
2.3.1 Vehicle Recognition Software Industry Trends
2.3.2 Vehicle Recognition Software Market Drivers
2.3.3 Vehicle Recognition Software Market Challenges
2.3.4 Vehicle Recognition Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Vehicle Recognition Software Players by Revenue
3.1.1 Global Top Vehicle Recognition Software Players by Revenue (2020-2025)
3.1.2 Global Vehicle Recognition Software Revenue Market Share by Players (2020-2025)
3.2 Global Vehicle Recognition Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Vehicle Recognition Software Revenue
3.4 Global Vehicle Recognition Software Market Concentration Ratio
3.4.1 Global Vehicle Recognition Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Vehicle Recognition Software Revenue in 2024
3.5 Global Key Players of Vehicle Recognition Software Head office and Area Served
3.6 Global Key Players of Vehicle Recognition Software, Product and Application
3.7 Global Key Players of Vehicle Recognition Software, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Vehicle Recognition Software Breakdown Data by Type
4.1 Global Vehicle Recognition Software Historic Market Size by Type (2020-2025)
4.2 Global Vehicle Recognition Software Forecasted Market Size by Type (2026-2031)
5 Vehicle Recognition Software Breakdown Data by Application
5.1 Global Vehicle Recognition Software Historic Market Size by Application (2020-2025)
5.2 Global Vehicle Recognition Software Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America Vehicle Recognition Software Market Size (2020-2031)
6.2 North America Vehicle Recognition Software Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Vehicle Recognition Software Market Size by Country (2020-2025)
6.4 North America Vehicle Recognition Software Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Vehicle Recognition Software Market Size (2020-2031)
7.2 Europe Vehicle Recognition Software Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Vehicle Recognition Software Market Size by Country (2020-2025)
7.4 Europe Vehicle Recognition Software Market Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Vehicle Recognition Software Market Size (2020-2031)
8.2 Asia-Pacific Vehicle Recognition Software Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Vehicle Recognition Software Market Size by Region (2020-2025)
8.4 Asia-Pacific Vehicle Recognition Software Market Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Vehicle Recognition Software Market Size (2020-2031)
9.2 Latin America Vehicle Recognition Software Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Vehicle Recognition Software Market Size by Country (2020-2025)
9.4 Latin America Vehicle Recognition Software Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Vehicle Recognition Software Market Size (2020-2031)
10.2 Middle East & Africa Vehicle Recognition Software Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Vehicle Recognition Software Market Size by Country (2020-2025)
10.4 Middle East & Africa Vehicle Recognition Software Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Motorola Solutions
11.1.1 Motorola Solutions Company Details
11.1.2 Motorola Solutions Business Overview
11.1.3 Motorola Solutions Vehicle Recognition Software Introduction
11.1.4 Motorola Solutions Revenue in Vehicle Recognition Software Business (2020-2025)
11.1.5 Motorola Solutions Recent Development
11.2 OMNIQ Corp (HTS)
11.2.1 OMNIQ Corp (HTS) Company Details
11.2.2 OMNIQ Corp (HTS) Business Overview
11.2.3 OMNIQ Corp (HTS) Vehicle Recognition Software Introduction
11.2.4 OMNIQ Corp (HTS) Revenue in Vehicle Recognition Software Business (2020-2025)
11.2.5 OMNIQ Corp (HTS) Recent Development
11.3 Adaptive Recognition
11.3.1 Adaptive Recognition Company Details
11.3.2 Adaptive Recognition Business Overview
11.3.3 Adaptive Recognition Vehicle Recognition Software Introduction
11.3.4 Adaptive Recognition Revenue in Vehicle Recognition Software Business (2020-2025)
11.3.5 Adaptive Recognition Recent Development
11.4 Dahua Technology Co., Ltd
11.4.1 Dahua Technology Co., Ltd Company Details
11.4.2 Dahua Technology Co., Ltd Business Overview
11.4.3 Dahua Technology Co., Ltd Vehicle Recognition Software Introduction
11.4.4 Dahua Technology Co., Ltd Revenue in Vehicle Recognition Software Business (2020-2025)
11.4.5 Dahua Technology Co., Ltd Recent Development
11.5 Neology
11.5.1 Neology Company Details
11.5.2 Neology Business Overview
11.5.3 Neology Vehicle Recognition Software Introduction
11.5.4 Neology Revenue in Vehicle Recognition Software Business (2020-2025)
11.5.5 Neology Recent Development
11.6 Perceptics
11.6.1 Perceptics Company Details
11.6.2 Perceptics Business Overview
11.6.3 Perceptics Vehicle Recognition Software Introduction
11.6.4 Perceptics Revenue in Vehicle Recognition Software Business (2020-2025)
11.6.5 Perceptics Recent Development
11.7 Hikvision
11.7.1 Hikvision Company Details
11.7.2 Hikvision Business Overview
11.7.3 Hikvision Vehicle Recognition Software Introduction
11.7.4 Hikvision Revenue in Vehicle Recognition Software Business (2020-2025)
11.7.5 Hikvision Recent Development
11.8 Rekor (OpenALPR)
11.8.1 Rekor (OpenALPR) Company Details
11.8.2 Rekor (OpenALPR) Business Overview
11.8.3 Rekor (OpenALPR) Vehicle Recognition Software Introduction
11.8.4 Rekor (OpenALPR) Revenue in Vehicle Recognition Software Business (2020-2025)
11.8.5 Rekor (OpenALPR) Recent Development
11.9 Q-free
11.9.1 Q-free Company Details
11.9.2 Q-free Business Overview
11.9.3 Q-free Vehicle Recognition Software Introduction
11.9.4 Q-free Revenue in Vehicle Recognition Software Business (2020-2025)
11.9.5 Q-free Recent Development
11.10 Genetec
11.10.1 Genetec Company Details
11.10.2 Genetec Business Overview
11.10.3 Genetec Vehicle Recognition Software Introduction
11.10.4 Genetec Revenue in Vehicle Recognition Software Business (2020-2025)
11.10.5 Genetec Recent Development
11.11 Jenoptik(Vysionics)
11.11.1 Jenoptik(Vysionics) Company Details
11.11.2 Jenoptik(Vysionics) Business Overview
11.11.3 Jenoptik(Vysionics) Vehicle Recognition Software Introduction
11.11.4 Jenoptik(Vysionics) Revenue in Vehicle Recognition Software Business (2020-2025)
11.11.5 Jenoptik(Vysionics) Recent Development
11.12 Neural Labs
11.12.1 Neural Labs Company Details
11.12.2 Neural Labs Business Overview
11.12.3 Neural Labs Vehicle Recognition Software Introduction
11.12.4 Neural Labs Revenue in Vehicle Recognition Software Business (2020-2025)
11.12.5 Neural Labs Recent Development
11.13 Inex Tech
11.13.1 Inex Tech Company Details
11.13.2 Inex Tech Business Overview
11.13.3 Inex Tech Vehicle Recognition Software Introduction
11.13.4 Inex Tech Revenue in Vehicle Recognition Software Business (2020-2025)
11.13.5 Inex Tech Recent Development
11.14 Vaxtor
11.14.1 Vaxtor Company Details
11.14.2 Vaxtor Business Overview
11.14.3 Vaxtor Vehicle Recognition Software Introduction
11.14.4 Vaxtor Revenue in Vehicle Recognition Software Business (2020-2025)
11.14.5 Vaxtor Recent Development
11.15 Cyclops Technologies
11.15.1 Cyclops Technologies Company Details
11.15.2 Cyclops Technologies Business Overview
11.15.3 Cyclops Technologies Vehicle Recognition Software Introduction
11.15.4 Cyclops Technologies Revenue in Vehicle Recognition Software Business (2020-2025)
11.15.5 Cyclops Technologies Recent Development
11.16 ISS
11.16.1 ISS Company Details
11.16.2 ISS Business Overview
11.16.3 ISS Vehicle Recognition Software Introduction
11.16.4 ISS Revenue in Vehicle Recognition Software Business (2020-2025)
11.16.5 ISS Recent Development
11.17 NDI Recognition Systems
11.17.1 NDI Recognition Systems Company Details
11.17.2 NDI Recognition Systems Business Overview
11.17.3 NDI Recognition Systems Vehicle Recognition Software Introduction
11.17.4 NDI Recognition Systems Revenue in Vehicle Recognition Software Business (2020-2025)
11.17.5 NDI Recognition Systems Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

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

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