Market Analysis and Insights
The global Vehicle Recognition Software market is projected to grow from US$ 348.91 million in 2022 to US$ 696.01 million by 2029, at a Compound Annual Growth Rate (CAGR) of 10.32% during the forecast period.
The North America market for Vehicle Recognition Software is estimated to increase from $ 110.64 million in 2022 to reach $ 216.89 million by 2029, at a CAGR of 9.96% during the forecast period of 2023 through 2029.
The China market for Vehicle Recognition Software is estimated to increase from $ 72.47 million in 2022 to reach $ 162.63 million by 2029, at a CAGR of 12.23% during the forecast period of 2023 through 2029.
The Europe market for Vehicle Recognition Software is estimated to increase from $ 89.92 million in 2023 to reach $ 177.21 million by 2029, at a CAGR of 10.20% during the forecast period of 2023 through 2029.
The global key companies of Vehicle Recognition Software include: Motorola Solutions, OMNIQ Corp (HTS), Adaptive Recognition, Dahua Technology Co., Ltd, Neology and Perceptics, etc. In 2022, the global top five players had a share approximately 34.52% in terms of revenue.
Report Includes:
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 2018 - 2022, estimates for 2023, and projections of CAGR through 2029.
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 2018 to 2023. 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 2018 to 2029. Evaluation and forecast the market size for Vehicle Recognition Software revenue, projected growth trends, production technology, application and end-user industry.
Descriptive company profiles of the major global players, including Neology, Adaptive Recognition, Perceptics, Hi-Tech Solutions (HTS), Neural Labs, Motorola Solutions, INEX TECHNOLOGIES, Axis Communications, and Avigilon, etc.
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
Segment by Application
- Traffic Control
- Parking Lot
- Other
By Region
- North America
- United States
- Canada
- China
- Asia (excluding China)
- Japan
- China Taiwan
- India
- South Korea
- Southeast Asia
- Australia
- Rest of Asia
- Europe
- Germany
- France
- U.K.
- Italy
- Russia
- Nordic Countries
- Rest of Europe
- Middle East, Africa, and Latin America
- Brazil
- Mexico
- GCC Countries
- Turkey
- South Africa
- Rest
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's 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 Softwarerevenue, gross margin, and recent development, etc.
- Chapter 12: Analyst's Viewpoints/Conclusions
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: 2018 VS 2022 VS 2029
- 1.2.2 Cloud-based
- 1.2.3 On-premise
- 1.3 Market by Application
- 1.3.1 Global Vehicle Recognition Software Market Share by Application: 2018 VS 2022 VS 2029
- 1.3.2 Parking Lot
- 1.3.3 Traffic Control
- 1.3.4 Others
- 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 (2018-2029)
- 2.2 Global Vehicle Recognition Software Growth Trends by Region
- 2.2.1 Global Vehicle Recognition Software Market Size by Region: 2018 VS 2022 VS 2029
- 2.2.2 Vehicle Recognition Software Historic Market Size by Region (2018-2023)
- 2.2.3 Vehicle Recognition Software Forecasted Market Size by Region (2024-2029)
- 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 and 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 (2018-2023)
- 3.1.2 Global Vehicle Recognition Software Revenue Market Share by Players (2018-2023)
- 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, 2021 VS 2022
- 3.4 Global Vehicle Recognition Software Market Concentration Ratio
- 3.4.1 Global Vehicle Recognition Software Market Concentration Ratio (CR5)
- 3.4.2 Global Top 10 and Top 5 Companies by Vehicle Recognition Software Revenue in 2022
- 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, Establish Date
- 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 (2018-2023)
- 4.2 Global Vehicle Recognition Software Forecasted Market Size by Type (2024-2029)
5 Vehicle Recognition Software Breakdown Data by Application
- 5.1 Global Vehicle Recognition Software Historic Market Size by Application (2018-2023)
- 5.2 Global Vehicle Recognition Software Forecasted Market Size by Application (2024-2029)
6 North America
- 6.1 North America Vehicle Recognition Software Market Size (2018-2029)
- 6.2 North America Vehicle Recognition Software Market Size by Type
- 6.2.1 North America Vehicle Recognition Software Market Size by Type (2018-2023)
- 6.2.2 North America Vehicle Recognition Software Market Size by Type (2024-2029)
- 6.2.3 North America Vehicle Recognition Software Market Share by Type (2018-2029)
- 6.3 North America Vehicle Recognition Software Market Size by Application
- 6.3.1 North America Vehicle Recognition Software Market Size by Application (2018-2023)
- 6.3.2 North America Vehicle Recognition Software Market Size by Application (2024-2029)
- 6.3.3 North America Vehicle Recognition Software Market Share by Application (2018-2029)
- 6.4 North America Vehicle Recognition Software Market Size by Country
- 6.4.1 North America Vehicle Recognition Software Market Size by Country: 2018 VS 2022 VS 2029
- 6.4.2 North America Vehicle Recognition Software Market Size by Country (2018-2023)
- 6.4.3 North America Vehicle Recognition Software Market Share by Country (2024-2029)
- 6.4.4 United States
- 6.4.5 Canada
7 Europe
- 7.1 Europe Vehicle Recognition Software Market Size (2018-2029)
- 7.2 Europe Vehicle Recognition Software Market Size by Type
- 7.2.1 Europe Vehicle Recognition Software Market Size by Type (2018-2023)
- 7.2.2 Europe Vehicle Recognition Software Market Size by Type (2024-2029)
- 7.2.3 Europe Vehicle Recognition Software Market Share by Type (2018-2029)
- 7.3 Europe Vehicle Recognition Software Market Size by Application
- 7.3.1 Europe Vehicle Recognition Software Market Size by Application (2018-2023)
- 7.3.2 Europe Vehicle Recognition Software Market Size by Application (2024-2029)
- 7.3.3 Europe Vehicle Recognition Software Market Share by Application (2018-2029)
- 7.4 Europe Vehicle Recognition Software Market Size by Country
- 7.4.1 Europe Vehicle Recognition Software Market Size by Country: 2018 VS 2022 VS 2029
- 7.4.2 Europe Vehicle Recognition Software Market Size by Country (2018-2023)
- 7.4.3 Europe Vehicle Recognition Software Market Size by Country (2024-2029)
- 7.4.4 Germany
- 7.4.5 France
- 7.4.6 U.K.
- 7.4.7 Italy
- 7.4.8 Russia
- 7.4.9 Nordic Countries
8 China
- 8.1 China Vehicle Recognition Software Market Size (2018-2029)
- 8.2 China Vehicle Recognition Software Market Size by Type
- 8.2.1 China Vehicle Recognition Software Market Size by Type (2018-2023)
- 8.2.2 China Vehicle Recognition Software Market Size by Type (2024-2029)
- 8.2.3 China Vehicle Recognition Software Market Share by Type (2018-2029)
- 8.3 China Vehicle Recognition Software Market Size by Application
- 8.3.1 China Vehicle Recognition Software Market Size by Application (2018-2023)
- 8.3.2 China Vehicle Recognition Software Market Size by Application (2024-2029)
- 8.3.3 China Vehicle Recognition Software Market Share by Application (2018-2029)
9 Asia (excluding China)
- 9.1 Asia Vehicle Recognition Software Market Size (2018-2029)
- 9.2 Asia Vehicle Recognition Software Market Size by Type
- 9.2.1 Asia Vehicle Recognition Software Market Size by Type (2018-2023)
- 9.2.2 Asia Vehicle Recognition Software Market Size by Type (2024-2029)
- 9.2.3 Asia Vehicle Recognition Software Market Share by Type (2018-2029)
- 9.3 Asia Vehicle Recognition Software Market Size by Application
- 9.3.1 Asia Vehicle Recognition Software Market Size by Application (2018-2023)
- 9.3.2 Asia Vehicle Recognition Software Market Size by Application (2024-2029)
- 9.3.3 Asia Vehicle Recognition Software Market Share by Application (2018-2029)
- 9.4 Asia Vehicle Recognition Software Market Size by Region
- 9.4.1 Asia Vehicle Recognition Software Market Size by Region: 2018 VS 2022 VS 2029
- 9.4.2 Asia Vehicle Recognition Software Market Size by Region (2018-2023)
- 9.4.3 Asia Vehicle Recognition Software Market Size by Region (2024-2029)
- 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 (2018-2029)
- 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 (2018-2023)
- 10.2.2 Middle East, Africa, and Latin America Vehicle Recognition Software Market Size by Type (2024-2029)
- 10.2.3 Middle East, Africa, and Latin America Vehicle Recognition Software Market Share by Type (2018-2029)
- 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 (2018-2023)
- 10.3.2 Middle East, Africa, and Latin America Vehicle Recognition Software Market Size by Application (2024-2029)
- 10.3.3 Middle East, Africa, and Latin America Vehicle Recognition Software Market Share by Application (2018-2029)
- 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: 2018 VS 2022 VS 2029
- 10.4.2 Middle East, Africa, and Latin America Vehicle Recognition Software Market Size by Country (2018-2023)
- 10.4.3 Middle East, Africa, and Latin America Vehicle Recognition Software Market Size by Country (2024-2029)
- 10.4.4 Brazil
- 10.4.5 Mexico
- 10.4.6 Turkey
- 10.4.7 South Africa
- 10.4.8 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 (2018-2023)
- 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 (2018-2023)
- 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 (2018-2023)
- 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 (2018-2023)
- 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 (2018-2023)
- 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 (2018-2023)
- 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 (2018-2023)
- 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 (2018-2023)
- 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 (2018-2023)
- 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 (2018-2023)
- 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 (2018-2023)
- 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 (2018-2023)
- 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 (2018-2023)
- 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 (2018-2023)
- 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 (2018-2023)
- 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 (2018-2023)
- 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 (2018-2023)
12 Analyst's Viewpoints/Conclusions
13 Appendix
- 13.1 Research Methodology
- 13.1.1 Methodology/Research Approach
- 13.1.2 Data Source
- 13.2 Author Details
- 13.3 Disclaimer