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Product Code QY09144154895KP
Published Date 2024/7/19
QY Research
English165 PagesGlobal

Global Vehicle Recognition Software Market Size, Manufacturers, Supply Chain, Sales Channel and Clients, 2024-2030 ‐ Automotive_Mobility Market


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Product Code QY09144154895KP◆The Jul 2025 edition is also likely available. We will check with the publisher immediately.
Published Date 2024/7/19
QY Research
English 165 PagesGlobal

Global Vehicle Recognition Software Market Size, Manufacturers, Supply Chain, Sales Channel and Clients, 2024-2030 ‐ Automotive_Mobility Market


Abstract

Summary

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.
The global market for Vehicle Recognition Software was estimated to be worth US$ 348.9 million in 2023 and is forecast to a readjusted size of US$ 695.9 million by 2030 with a CAGR of 10.3% during the forecast period 2024-2030.
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 Scope
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, analyse 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 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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, product type, application, and 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
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
India
Southeast Asia
Australia
Rest of Asia-Pacific
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of Middle East & Africa
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.
Chapter 2: Revenue of Vehicle Recognition Software in global and regional level.
Chapter 3: Detailed analysis of Vehicle Recognition Software company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6: 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 7: North America (US & Canada) by Type, by Application and by country, revenue for each segment.
Chapter 8: Europe by Type, by Application and by country, revenue for each segment.
Chapter 9: Asia Pacific by Type, by Application and by region, revenue for each segment.
Chapter 10: Latin America by Type, by Application and by country, revenue for each segment.
Chapter 11: Middle East and Africa, by Type, by Application and by country, revenue for each segment.
Chapter 12: Analysis of industrial chain, sales channel, key raw materials, distributors, and customers.
Chapter 13: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 14: Research Findings and Conclusion

Table of Contents

  • 1 Study Coverage

    • 1.1 Vehicle Recognition Software Product Introduction
    • 1.2 Market 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 Executive Summary

    • 2.1 Global Vehicle Recognition Software Market Size Estimates and Forecasts
    • 2.2 Vehicle Recognition Software Market Size by Region: 2023 Versus 2030
      • 2.2.1 Global Vehicle Recognition Software Revenue by Region: 2019-2024
      • 2.2.2 Global Vehicle Recognition Software Revenue Forecast by Region (2025-2030)
      • 2.2.3 Global Vehicle Recognition Software Revenue Market Share by Region (2019-2030)

  • 3 Global Vehicle Recognition Software by Company

    • 3.1 Global Vehicle Recognition Software Revenue by Company (2019-2024)
    • 3.2 Global Vehicle Recognition Software Revenue Share by Company (2019-2024)
    • 3.3 Competitive Landscape
      • 3.3.1 Key Vehicle Recognition Software Companies around the World: Ranking by Revenue
      • 3.3.2 Global Vehicle Recognition Software Market Concentration Ratio (CR5 and HHI) & (2019-2024)
      • 3.3.3 Global Vehicle Recognition Software Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
    • 3.4 Global Vehicle Recognition Software Companies Headquarters & Product Type
      • 3.4.1 Vehicle Recognition Software Companies Headquarters
      • 3.4.2 Global Vehicle Recognition Software Companies Product & Service
      • 3.4.3 Date of International Companies Enter into Vehicle Recognition Software Market
    • 3.5 Global Vehicle Recognition Software Mergers & Acquisitions, Expansion Plans

  • 4 Company Profiles

    • 4.1 Motorola Solutions
      • 4.1.1 Motorola Solutions Company Information
      • 4.1.2 Motorola Solutions Description, Business Overview
      • 4.1.3 Motorola Solutions Vehicle Recognition Software Products Offered
      • 4.1.4 Motorola Solutions Vehicle Recognition Software Revenue and Gross Margin (2019-2024)
      • 4.1.5 Motorola Solutions Vehicle Recognition Software Revenue by Product in 2023
      • 4.1.6 Motorola Solutions Vehicle Recognition Software Revenue by Application in 2023
      • 4.1.7 Motorola Solutions Vehicle Recognition Software Revenue by Geographic Area in 2023
      • 4.1.8 Motorola Solutions Recent Developments
    • 4.2 OMNIQ Corp (HTS)
      • 4.2.1 OMNIQ Corp (HTS) Company Information
      • 4.2.2 OMNIQ Corp (HTS) Description, Business Overview
      • 4.2.3 OMNIQ Corp (HTS) Vehicle Recognition Software Products Offered
      • 4.2.4 OMNIQ Corp (HTS) Vehicle Recognition Software Revenue and Gross Margin (2019-2024)
      • 4.2.5 OMNIQ Corp (HTS) Vehicle Recognition Software Revenue by Product in 2023
      • 4.2.6 OMNIQ Corp (HTS) Vehicle Recognition Software Revenue by Application in 2023
      • 4.2.7 OMNIQ Corp (HTS) Vehicle Recognition Software Revenue by Geographic Area in 2023
      • 4.2.8 OMNIQ Corp (HTS) Recent Developments
    • 4.3 Adaptive Recognition
      • 4.3.1 Adaptive Recognition Company Information
      • 4.3.2 Adaptive Recognition Description, Business Overview
      • 4.3.3 Adaptive Recognition Vehicle Recognition Software Products Offered
      • 4.3.4 Adaptive Recognition Vehicle Recognition Software Revenue and Gross Margin (2019-2024)
      • 4.3.5 Adaptive Recognition Vehicle Recognition Software Revenue by Product in 2023
      • 4.3.6 Adaptive Recognition Vehicle Recognition Software Revenue by Application in 2023
      • 4.3.7 Adaptive Recognition Vehicle Recognition Software Revenue by Geographic Area in 2023
      • 4.3.8 Adaptive Recognition Recent Developments
    • 4.4 Dahua Technology Co., Ltd
      • 4.4.1 Dahua Technology Co., Ltd Company Information
      • 4.4.2 Dahua Technology Co., Ltd Description, Business Overview
      • 4.4.3 Dahua Technology Co., Ltd Vehicle Recognition Software Products Offered
      • 4.4.4 Dahua Technology Co., Ltd Vehicle Recognition Software Revenue and Gross Margin (2019-2024)
      • 4.4.5 Dahua Technology Co., Ltd Vehicle Recognition Software Revenue by Product in 2023
      • 4.4.6 Dahua Technology Co., Ltd Vehicle Recognition Software Revenue by Application in 2023
      • 4.4.7 Dahua Technology Co., Ltd Vehicle Recognition Software Revenue by Geographic Area in 2023
      • 4.4.8 Dahua Technology Co., Ltd Recent Developments
    • 4.5 Neology
      • 4.5.1 Neology Company Information
      • 4.5.2 Neology Description, Business Overview
      • 4.5.3 Neology Vehicle Recognition Software Products Offered
      • 4.5.4 Neology Vehicle Recognition Software Revenue and Gross Margin (2019-2024)
      • 4.5.5 Neology Vehicle Recognition Software Revenue by Product in 2023
      • 4.5.6 Neology Vehicle Recognition Software Revenue by Application in 2023
      • 4.5.7 Neology Vehicle Recognition Software Revenue by Geographic Area in 2023
      • 4.5.8 Neology Recent Developments
    • 4.6 Perceptics
      • 4.6.1 Perceptics Company Information
      • 4.6.2 Perceptics Description, Business Overview
      • 4.6.3 Perceptics Vehicle Recognition Software Products Offered
      • 4.6.4 Perceptics Vehicle Recognition Software Revenue and Gross Margin (2019-2024)
      • 4.6.5 Perceptics Vehicle Recognition Software Revenue by Product in 2023
      • 4.6.6 Perceptics Vehicle Recognition Software Revenue by Application in 2023
      • 4.6.7 Perceptics Vehicle Recognition Software Revenue by Geographic Area in 2023
      • 4.6.8 Perceptics Recent Development
    • 4.7 Hikvision
      • 4.7.1 Hikvision Company Information
      • 4.7.2 Hikvision Description, Business Overview
      • 4.7.3 Hikvision Vehicle Recognition Software Products Offered
      • 4.7.4 Hikvision Vehicle Recognition Software Revenue and Gross Margin (2019-2024)
      • 4.7.5 Hikvision Vehicle Recognition Software Revenue by Product in 2023
      • 4.7.6 Hikvision Vehicle Recognition Software Revenue by Application in 2023
      • 4.7.7 Hikvision Vehicle Recognition Software Revenue by Geographic Area in 2023
      • 4.7.8 Hikvision Recent Development
    • 4.8 Rekor (OpenALPR)
      • 4.8.1 Rekor (OpenALPR) Company Information
      • 4.8.2 Rekor (OpenALPR) Description, Business Overview
      • 4.8.3 Rekor (OpenALPR) Vehicle Recognition Software Products Offered
      • 4.8.4 Rekor (OpenALPR) Vehicle Recognition Software Revenue and Gross Margin (2019-2024)
      • 4.8.5 Rekor (OpenALPR) Vehicle Recognition Software Revenue by Product in 2023
      • 4.8.6 Rekor (OpenALPR) Vehicle Recognition Software Revenue by Application in 2023
      • 4.8.7 Rekor (OpenALPR) Vehicle Recognition Software Revenue by Geographic Area in 2023
      • 4.8.8 Rekor (OpenALPR) Recent Development
    • 4.9 Q-free
      • 4.9.1 Q-free Company Information
      • 4.9.2 Q-free Description, Business Overview
      • 4.9.3 Q-free Vehicle Recognition Software Products Offered
      • 4.9.4 Q-free Vehicle Recognition Software Revenue and Gross Margin (2019-2024)
      • 4.9.5 Q-free Vehicle Recognition Software Revenue by Product in 2023
      • 4.9.6 Q-free Vehicle Recognition Software Revenue by Application in 2023
      • 4.9.7 Q-free Vehicle Recognition Software Revenue by Geographic Area in 2023
      • 4.9.8 Q-free Recent Development
    • 4.10 Genetec
      • 4.10.1 Genetec Company Information
      • 4.10.2 Genetec Description, Business Overview
      • 4.10.3 Genetec Vehicle Recognition Software Products Offered
      • 4.10.4 Genetec Vehicle Recognition Software Revenue and Gross Margin (2019-2024)
      • 4.10.5 Genetec Vehicle Recognition Software Revenue by Product in 2023
      • 4.10.6 Genetec Vehicle Recognition Software Revenue by Application in 2023
      • 4.10.7 Genetec Vehicle Recognition Software Revenue by Geographic Area in 2023
      • 4.10.8 Genetec Recent Development
    • 4.11 Jenoptik(Vysionics)
      • 4.11.1 Jenoptik(Vysionics) Company Information
      • 4.11.2 Jenoptik(Vysionics) Description, Business Overview
      • 4.11.3 Jenoptik(Vysionics) Vehicle Recognition Software Products Offered
      • 4.11.4 Jenoptik(Vysionics) Vehicle Recognition Software Revenue and Gross Margin (2019-2024)
      • 4.11.5 Jenoptik(Vysionics) Vehicle Recognition Software Revenue by Product in 2023
      • 4.11.6 Jenoptik(Vysionics) Vehicle Recognition Software Revenue by Application in 2023
      • 4.11.7 Jenoptik(Vysionics) Vehicle Recognition Software Revenue by Geographic Area in 2023
      • 4.11.8 Jenoptik(Vysionics) Recent Development
    • 4.12 Neural Labs
      • 4.12.1 Neural Labs Company Information
      • 4.12.2 Neural Labs Description, Business Overview
      • 4.12.3 Neural Labs Vehicle Recognition Software Products Offered
      • 4.12.4 Neural Labs Vehicle Recognition Software Revenue and Gross Margin (2019-2024)
      • 4.12.5 Neural Labs Vehicle Recognition Software Revenue by Product in 2023
      • 4.12.6 Neural Labs Vehicle Recognition Software Revenue by Application in 2023
      • 4.12.7 Neural Labs Vehicle Recognition Software Revenue by Geographic Area in 2023
      • 4.12.8 Neural Labs Recent Development
    • 4.13 Inex Tech
      • 4.13.1 Inex Tech Company Information
      • 4.13.2 Inex Tech Description, Business Overview
      • 4.13.3 Inex Tech Vehicle Recognition Software Products Offered
      • 4.13.4 Inex Tech Vehicle Recognition Software Revenue and Gross Margin (2019-2024)
      • 4.13.5 Inex Tech Vehicle Recognition Software Revenue by Product in 2023
      • 4.13.6 Inex Tech Vehicle Recognition Software Revenue by Application in 2023
      • 4.13.7 Inex Tech Vehicle Recognition Software Revenue by Geographic Area in 2023
      • 4.13.8 Inex Tech Recent Development
    • 4.14 Vaxtor
      • 4.14.1 Vaxtor Company Information
      • 4.14.2 Vaxtor Description, Business Overview
      • 4.14.3 Vaxtor Vehicle Recognition Software Products Offered
      • 4.14.4 Vaxtor Vehicle Recognition Software Revenue and Gross Margin (2019-2024)
      • 4.14.5 Vaxtor Vehicle Recognition Software Revenue by Product in 2023
      • 4.14.6 Vaxtor Vehicle Recognition Software Revenue by Application in 2023
      • 4.14.7 Vaxtor Vehicle Recognition Software Revenue by Geographic Area in 2023
      • 4.14.8 Vaxtor Recent Development
    • 4.15 Cyclops Technologies
      • 4.15.1 Cyclops Technologies Company Information
      • 4.15.2 Cyclops Technologies Description, Business Overview
      • 4.15.3 Cyclops Technologies Vehicle Recognition Software Products Offered
      • 4.15.4 Cyclops Technologies Vehicle Recognition Software Revenue and Gross Margin (2019-2024)
      • 4.15.5 Cyclops Technologies Vehicle Recognition Software Revenue by Product in 2023
      • 4.15.6 Cyclops Technologies Vehicle Recognition Software Revenue by Application in 2023
      • 4.15.7 Cyclops Technologies Vehicle Recognition Software Revenue by Geographic Area in 2023
      • 4.15.8 Cyclops Technologies Recent Development
    • 4.16 ISS
      • 4.16.1 ISS Company Information
      • 4.16.2 ISS Description, Business Overview
      • 4.16.3 ISS Vehicle Recognition Software Products Offered
      • 4.16.4 ISS Vehicle Recognition Software Revenue and Gross Margin (2019-2024)
      • 4.16.5 ISS Vehicle Recognition Software Revenue by Product in 2023
      • 4.16.6 ISS Vehicle Recognition Software Revenue by Application in 2023
      • 4.16.7 ISS Vehicle Recognition Software Revenue by Geographic Area in 2023
      • 4.16.8 ISS Recent Development
    • 4.17 NDI Recognition Systems
      • 4.17.1 NDI Recognition Systems Company Information
      • 4.17.2 NDI Recognition Systems Description, Business Overview
      • 4.17.3 NDI Recognition Systems Vehicle Recognition Software Products Offered
      • 4.17.4 NDI Recognition Systems Vehicle Recognition Software Revenue and Gross Margin (2019-2024)
      • 4.17.5 NDI Recognition Systems Vehicle Recognition Software Revenue by Product in 2023
      • 4.17.6 NDI Recognition Systems Vehicle Recognition Software Revenue by Application in 2023
      • 4.17.7 NDI Recognition Systems Vehicle Recognition Software Revenue by Geographic Area in 2023
      • 4.17.8 NDI Recognition Systems Recent Development

  • 5 Breakdown Data by Type

    • 5.1 Global Vehicle Recognition Software Revenue by Type (2019-2024)
    • 5.2 Global Vehicle Recognition Software Revenue Forecast by Type (2025-2030)
    • 5.3 Vehicle Recognition Software Revenue Market Share by Type (2019-2030)

  • 6 Breakdown Data by Application

    • 6.1 Global Vehicle Recognition Software Revenue by Application (2019-2024)
    • 6.2 Global Vehicle Recognition Software Revenue Forecast by Application (2025-2030)
    • 6.3 Vehicle Recognition Software Revenue Market Share by Application (2019-2030)

  • 7 North America

    • 7.1 North America Vehicle Recognition Software Market Size YoY Growth 2019-2030
    • 7.2 North America Vehicle Recognition Software Market Facts & Figures by Country (2019-2030)
    • 7.3 North America Vehicle Recognition Software Revenue by Type (2019-2024)
    • 7.4 North America Vehicle Recognition Software Revenue by Application (2019-2024)

  • 8 Asia-Pacific

    • 8.1 Asia-Pacific Vehicle Recognition Software Market Size YoY Growth 2019-2030
    • 8.2 Asia-Pacific Vehicle Recognition Software Market Facts & Figures by Region (2019-2030)
    • 8.3 Asia-Pacific Vehicle Recognition Software Revenue by Type (2019-2024)
    • 8.4 Asia-Pacific Vehicle Recognition Software Revenue by Application (2019-2024)

  • 9 Europe

    • 9.1 Europe Vehicle Recognition Software Market Size YoY Growth 2019-2030
    • 9.2 Europe Vehicle Recognition Software Market Facts & Figures by Country (2019-2030)
    • 9.3 Europe Vehicle Recognition Software Revenue by Type (2019-2024)
    • 9.4 Europe Vehicle Recognition Software Revenue by Application (2019-2024)

  • 10 Latin America

    • 10.1 Latin America Vehicle Recognition Software Market Size YoY Growth 2019-2030
    • 10.2 Latin America Vehicle Recognition Software Market Facts & Figures by Country (2019-2030)
    • 10.3 Latin America Vehicle Recognition Software Revenue by Type (2019-2024)
    • 10.4 Latin America Vehicle Recognition Software Revenue by Application (2019-2024)

  • 11 Middle East and Africa

    • 11.1 Middle East and Africa Vehicle Recognition Software Market Size YoY Growth 2019-2030
    • 11.2 Middle East and Africa Vehicle Recognition Software Market Facts & Figures by Country (2019-2030)
    • 11.3 Middle East and Africa Vehicle Recognition Software Revenue by Type (2019-2024)
    • 11.4 Middle East and Africa Vehicle Recognition Software Revenue by Application (2019-2024)

  • 12 Supply Chain and Sales Channel Analysis

    • 12.1 Vehicle Recognition Software Supply Chain Analysis
    • 12.2 Vehicle Recognition Software Key Raw Materials and Upstream Suppliers
    • 12.3 Vehicle Recognition Software Clients Analysis
    • 12.4 Vehicle Recognition Software Sales Channel and Sales Model Analysis
      • 12.4.1 Vehicle Recognition Software Distribution Channel Analysis: Indirect Sales VS Direct Sales
      • 12.4.2 Vehicle Recognition Software Distribution Channel Analysis: Online Sales VS Offline Sales
      • 12.4.3 Vehicle Recognition Software Distributors

  • 13 Market Dynamics

    • 13.1 Vehicle Recognition Software Industry Trends
    • 13.2 Vehicle Recognition Software Market Drivers
    • 13.3 Vehicle Recognition Software Market Challenges
    • 13.4 Vehicle Recognition Software Market Restraints

  • 14 Research Findings and Conclusion

  • 15 Appendix

    • 15.1 Research Methodology
      • 15.1.1 Methodology/Research Approach
      • 15.1.2 Data Source
    • 15.2 Author Details
    • 15.3 Disclaimer
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