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.
Market Analysis and Insights: Global Vehicle Recognition Software Market
The global Vehicle Recognition Software market is projected to grow from US$ 386 million in 2024 to US$ 695.9 million by 2030, at a Compound Annual Growth Rate (CAGR) of 10.3% during the forecast period.
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.
Report Covers:
This report presents an overview of global market for Vehicle Recognition Software market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Vehicle Recognition Software, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Vehicle Recognition Software, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Vehicle Recognition Software revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Vehicle Recognition Software market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Vehicle Recognition Software revenue, projected growth trends, production technology, application and end-user industry.
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
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
China
Asia (excluding China)
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America, Middle East & Africa
Brazil
Mexico
Turkey
Israel
GCC Countries
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, 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: Revenue of Vehicle Recognition Software in global and regional 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, and capacity of each country in the world. 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 companies鈥� competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, 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 revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America (US & Canada) by Type, by Application and by country, revenue for each segment.
Chapter 7: Europe by Type, by Application and by country, revenue for each segment.
Chapter 8: China by Type, and by Application, revenue for each segment.
Chapter 9: Asia (excluding China) by Type, by Application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by Type, by Application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Vehicle Recognition Software revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
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, 2019 VS 2023 VS 2030
1.2.2 On-premise
1.2.3 Cloud-based
1.3 Market by Application
1.3.1 Global Vehicle Recognition Software Market Size Growth Rate by Application, 2019 VS 2023 VS 2030
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 (2019-2030)
2.2 Global Vehicle Recognition Software Growth Trends by Region
2.2.1 Vehicle Recognition Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Vehicle Recognition Software Historic Market Size by Region (2019-2024)
2.2.3 Vehicle Recognition Software Forecasted Market Size by Region (2025-2030)
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 Revenue Vehicle Recognition Software by Players
3.1.1 Global Vehicle Recognition Software Revenue by Players (2019-2024)
3.1.2 Global Vehicle Recognition Software Revenue Market Share by Players (2019-2024)
3.2 Global Vehicle Recognition Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Vehicle Recognition Software, Ranking by Revenue, 2022 VS 2023 VS 2024
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 2023
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 (2019-2024)
4.2 Global Vehicle Recognition Software Forecasted Market Size by Type (2025-2030)
5 Vehicle Recognition Software Breakdown Data by Application
5.1 Global Vehicle Recognition Software Historic Market Size by Application (2019-2024)
5.2 Global Vehicle Recognition Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Vehicle Recognition Software Market Size (2019-2030)
6.2 North America Vehicle Recognition Software Market Size by Type
6.2.1 North America Vehicle Recognition Software Market Size by Type (2019-2024)
6.2.2 North America Vehicle Recognition Software Market Size by Type (2025-2030)
6.2.3 North America Vehicle Recognition Software Market Share by Type (2019-2030)
6.3 North America Vehicle Recognition Software Market Size by Application
6.3.1 North America Vehicle Recognition Software Market Size by Application (2019-2024)
6.3.2 North America Vehicle Recognition Software Market Size by Application (2025-2030)
6.3.3 North America Vehicle Recognition Software Market Share by Application (2019-2030)
6.4 North America Vehicle Recognition Software Market Size by Country
6.4.1 North America Vehicle Recognition Software Market Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America Vehicle Recognition Software Market Size by Country (2019-2024)
6.4.3 North America Vehicle Recognition Software Market Size by Country (2025-2030)
6.4.4 United States
6.4.5 Canada
7 Europe
7.1 Europe Vehicle Recognition Software Market Size (2019-2030)
7.2 Europe Vehicle Recognition Software Market Size by Type
7.2.1 Europe Vehicle Recognition Software Market Size by Type (2019-2024)
7.2.2 Europe Vehicle Recognition Software Market Size by Type (2025-2030)
7.2.3 Europe Vehicle Recognition Software Market Share by Type (2019-2030)
7.3 Europe Vehicle Recognition Software Market Size by Application
7.3.1 Europe Vehicle Recognition Software Market Size by Application (2019-2024)
7.3.2 Europe Vehicle Recognition Software Market Size by Application (2025-2030)
7.3.3 Europe Vehicle Recognition Software Market Share by Application (2019-2030)
7.4 Europe Vehicle Recognition Software Market Size by Country
7.4.1 Europe Vehicle Recognition Software Market Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe Vehicle Recognition Software Market Size by Country (2019-2024)
7.4.3 Europe Vehicle Recognition Software Market Size by Country (2025-2030)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Vehicle Recognition Software Market Size (2019-2030)
8.2 China Vehicle Recognition Software Market Size by Type
8.2.1 China Vehicle Recognition Software Market Size by Type (2019-2024)
8.2.2 China Vehicle Recognition Software Market Size by Type (2025-2030)
8.2.3 China Vehicle Recognition Software Market Share by Type (2019-2030)
8.3 China Vehicle Recognition Software Market Size by Application
8.3.1 China Vehicle Recognition Software Market Size by Application (2019-2024)
8.3.2 China Vehicle Recognition Software Market Size by Application (2025-2030)
8.3.3 China Vehicle Recognition Software Market Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia Vehicle Recognition Software Market Size (2019-2030)
9.2 Asia Vehicle Recognition Software Market Size by Type
9.2.1 Asia Vehicle Recognition Software Market Size by Type (2019-2024)
9.2.2 Asia Vehicle Recognition Software Market Size by Type (2025-2030)
9.2.3 Asia Vehicle Recognition Software Market Share by Type (2019-2030)
9.3 Asia Vehicle Recognition Software Market Size by Application
9.3.1 Asia Vehicle Recognition Software Market Size by Application (2019-2024)
9.3.2 Asia Vehicle Recognition Software Market Size by Application (2025-2030)
9.3.3 Asia Vehicle Recognition Software Market Share by Application (2019-2030)
9.4 Asia Vehicle Recognition Software Market Size by Region
9.4.1 Asia Vehicle Recognition Software Market Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia Vehicle Recognition Software Market Size by Region (2019-2024)
9.4.3 Asia Vehicle Recognition Software Market Size by Region (2025-2030)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Vehicle Recognition Software Market Size (2019-2030)
10.2 Middle East, Africa, and Latin America Vehicle Recognition Software Market Size by Type
10.2.1 Middle East, Africa, and Latin America Vehicle Recognition Software Market Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America Vehicle Recognition Software Market Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America Vehicle Recognition Software Market Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America Vehicle Recognition Software Market Size by Application
10.3.1 Middle East, Africa, and Latin America Vehicle Recognition Software Market Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America Vehicle Recognition Software Market Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America Vehicle Recognition Software Market Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America Vehicle Recognition Software Market Size by Country
10.4.1 Middle East, Africa, and Latin America Vehicle Recognition Software Market Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America Vehicle Recognition Software Market Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America Vehicle Recognition Software Market Size by Country (2025-2030)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
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 (2019-2024)
11.1.5 Motorola Solutions Recent Developments
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 (2019-2024)
11.2.5 OMNIQ Corp (HTS) Recent Developments
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 (2019-2024)
11.3.5 Adaptive Recognition Recent Developments
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 (2019-2024)
11.4.5 Dahua Technology Co., Ltd Recent Developments
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 (2019-2024)
11.5.5 Neology Recent Developments
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 (2019-2024)
11.6.5 Perceptics Recent Developments
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 (2019-2024)
11.7.5 Hikvision Recent Developments
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 (2019-2024)
11.8.5 Rekor (OpenALPR) Recent Developments
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 (2019-2024)
11.9.5 Q-free Recent Developments
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 (2019-2024)
11.10.5 Genetec Recent Developments
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 (2019-2024)
11.11.5 Jenoptik(Vysionics) Recent Developments
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 (2019-2024)
11.12.5 Neural Labs Recent Developments
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 (2019-2024)
11.13.5 Inex Tech Recent Developments
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 (2019-2024)
11.14.5 Vaxtor Recent Developments
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 (2019-2024)
11.15.5 Cyclops Technologies Recent Developments
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 (2019-2024)
11.16.5 ISS Recent Developments
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 (2019-2024)
11.17.5 NDI Recognition Systems Recent Developments
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
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
听
听
*If Applicable.
