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Global Automatic Number Plate Recognition Systems Market Research Report 2024
Synopsis
The global Automatic Number Plate Recognition Systems market was valued at US$ 180.7 million in 2023 and is anticipated to reach US$ 278.2 million by 2030, witnessing a CAGR of 5.9% during the forecast period 2024-2030.
North American market for Automatic Number Plate Recognition Systems is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Automatic Number Plate Recognition Systems is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Automatic Number Plate Recognition Systems in Traffic Management is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Automatic Number Plate Recognition Systems include Siemens, Bosch, 3M, Vigilant Solutions, Vysionics, ARH, CA Traffic, Digital Recognition Systems and FLIR Systems, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Automatic Number Plate Recognition Systems, 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 Automatic Number Plate Recognition Systems.
Report Scope
The Automatic Number Plate Recognition Systems market size, estimations, and forecasts are provided in terms of 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 Automatic Number Plate Recognition Systems 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 Automatic Number Plate Recognition Systems companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price 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
Siemens
Bosch
3M
Vigilant Solutions
Vysionics
ARH
CA Traffic
Digital Recognition Systems
FLIR Systems
Image Sensing Systems
NDI Recognition Systems
LILIN
TitanHz
FIDA Systems Ltd.
Selex ES
Kritikal Solutions
Genetec Inc.
INEX/ZAMIR
MAV Systems Limited
Jenoptik
Segment by Type
Stationary
Portable
Segment by Application
Traffic Management
Parking
Other
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
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 Automatic Number Plate Recognition Systems companies’ 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.
The global Automatic Number Plate Recognition Systems market was valued at US$ 180.7 million in 2023 and is anticipated to reach US$ 278.2 million by 2030, witnessing a CAGR of 5.9% during the forecast period 2024-2030.
North American market for Automatic Number Plate Recognition Systems is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Automatic Number Plate Recognition Systems is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Automatic Number Plate Recognition Systems in Traffic Management is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Automatic Number Plate Recognition Systems include Siemens, Bosch, 3M, Vigilant Solutions, Vysionics, ARH, CA Traffic, Digital Recognition Systems and FLIR Systems, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Automatic Number Plate Recognition Systems, 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 Automatic Number Plate Recognition Systems.
Report Scope
The Automatic Number Plate Recognition Systems market size, estimations, and forecasts are provided in terms of 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 Automatic Number Plate Recognition Systems 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 Automatic Number Plate Recognition Systems companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price 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
Siemens
Bosch
3M
Vigilant Solutions
Vysionics
ARH
CA Traffic
Digital Recognition Systems
FLIR Systems
Image Sensing Systems
NDI Recognition Systems
LILIN
TitanHz
FIDA Systems Ltd.
Selex ES
Kritikal Solutions
Genetec Inc.
INEX/ZAMIR
MAV Systems Limited
Jenoptik
Segment by Type
Stationary
Portable
Segment by Application
Traffic Management
Parking
Other
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
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 Automatic Number Plate Recognition Systems companies’ 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.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Automatic Number Plate Recognition Systems Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Stationary
1.2.3 Portable
1.3 Market by Application
1.3.1 Global Automatic Number Plate Recognition Systems Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Traffic Management
1.3.3 Parking
1.3.4 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Automatic Number Plate Recognition Systems Market Perspective (2019-2030)
2.2 Automatic Number Plate Recognition Systems Growth Trends by Region
2.2.1 Global Automatic Number Plate Recognition Systems Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Automatic Number Plate Recognition Systems Historic Market Size by Region (2019-2024)
2.2.3 Automatic Number Plate Recognition Systems Forecasted Market Size by Region (2025-2030)
2.3 Automatic Number Plate Recognition Systems Market Dynamics
2.3.1 Automatic Number Plate Recognition Systems Industry Trends
2.3.2 Automatic Number Plate Recognition Systems Market Drivers
2.3.3 Automatic Number Plate Recognition Systems Market Challenges
2.3.4 Automatic Number Plate Recognition Systems Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Automatic Number Plate Recognition Systems Players by Revenue
3.1.1 Global Top Automatic Number Plate Recognition Systems Players by Revenue (2019-2024)
3.1.2 Global Automatic Number Plate Recognition Systems Revenue Market Share by Players (2019-2024)
3.2 Global Automatic Number Plate Recognition Systems Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Automatic Number Plate Recognition Systems Revenue
3.4 Global Automatic Number Plate Recognition Systems Market Concentration Ratio
3.4.1 Global Automatic Number Plate Recognition Systems Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Automatic Number Plate Recognition Systems Revenue in 2023
3.5 Automatic Number Plate Recognition Systems Key Players Head office and Area Served
3.6 Key Players Automatic Number Plate Recognition Systems Product Solution and Service
3.7 Date of Enter into Automatic Number Plate Recognition Systems Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Automatic Number Plate Recognition Systems Breakdown Data by Type
4.1 Global Automatic Number Plate Recognition Systems Historic Market Size by Type (2019-2024)
4.2 Global Automatic Number Plate Recognition Systems Forecasted Market Size by Type (2025-2030)
5 Automatic Number Plate Recognition Systems Breakdown Data by Application
5.1 Global Automatic Number Plate Recognition Systems Historic Market Size by Application (2019-2024)
5.2 Global Automatic Number Plate Recognition Systems Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Automatic Number Plate Recognition Systems Market Size (2019-2030)
6.2 North America Automatic Number Plate Recognition Systems Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Automatic Number Plate Recognition Systems Market Size by Country (2019-2024)
6.4 North America Automatic Number Plate Recognition Systems Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Automatic Number Plate Recognition Systems Market Size (2019-2030)
7.2 Europe Automatic Number Plate Recognition Systems Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Automatic Number Plate Recognition Systems Market Size by Country (2019-2024)
7.4 Europe Automatic Number Plate Recognition Systems Market Size by Country (2025-2030)
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 Automatic Number Plate Recognition Systems Market Size (2019-2030)
8.2 Asia-Pacific Automatic Number Plate Recognition Systems Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Automatic Number Plate Recognition Systems Market Size by Region (2019-2024)
8.4 Asia-Pacific Automatic Number Plate Recognition Systems Market Size by Region (2025-2030)
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 Automatic Number Plate Recognition Systems Market Size (2019-2030)
9.2 Latin America Automatic Number Plate Recognition Systems Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Automatic Number Plate Recognition Systems Market Size by Country (2019-2024)
9.4 Latin America Automatic Number Plate Recognition Systems Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Automatic Number Plate Recognition Systems Market Size (2019-2030)
10.2 Middle East & Africa Automatic Number Plate Recognition Systems Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Automatic Number Plate Recognition Systems Market Size by Country (2019-2024)
10.4 Middle East & Africa Automatic Number Plate Recognition Systems Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Siemens
11.1.1 Siemens Company Detail
11.1.2 Siemens Business Overview
11.1.3 Siemens Automatic Number Plate Recognition Systems Introduction
11.1.4 Siemens Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.1.5 Siemens Recent Development
11.2 Bosch
11.2.1 Bosch Company Detail
11.2.2 Bosch Business Overview
11.2.3 Bosch Automatic Number Plate Recognition Systems Introduction
11.2.4 Bosch Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.2.5 Bosch Recent Development
11.3 3M
11.3.1 3M Company Detail
11.3.2 3M Business Overview
11.3.3 3M Automatic Number Plate Recognition Systems Introduction
11.3.4 3M Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.3.5 3M Recent Development
11.4 Vigilant Solutions
11.4.1 Vigilant Solutions Company Detail
11.4.2 Vigilant Solutions Business Overview
11.4.3 Vigilant Solutions Automatic Number Plate Recognition Systems Introduction
11.4.4 Vigilant Solutions Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.4.5 Vigilant Solutions Recent Development
11.5 Vysionics
11.5.1 Vysionics Company Detail
11.5.2 Vysionics Business Overview
11.5.3 Vysionics Automatic Number Plate Recognition Systems Introduction
11.5.4 Vysionics Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.5.5 Vysionics Recent Development
11.6 ARH
11.6.1 ARH Company Detail
11.6.2 ARH Business Overview
11.6.3 ARH Automatic Number Plate Recognition Systems Introduction
11.6.4 ARH Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.6.5 ARH Recent Development
11.7 CA Traffic
11.7.1 CA Traffic Company Detail
11.7.2 CA Traffic Business Overview
11.7.3 CA Traffic Automatic Number Plate Recognition Systems Introduction
11.7.4 CA Traffic Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.7.5 CA Traffic Recent Development
11.8 Digital Recognition Systems
11.8.1 Digital Recognition Systems Company Detail
11.8.2 Digital Recognition Systems Business Overview
11.8.3 Digital Recognition Systems Automatic Number Plate Recognition Systems Introduction
11.8.4 Digital Recognition Systems Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.8.5 Digital Recognition Systems Recent Development
11.9 FLIR Systems
11.9.1 FLIR Systems Company Detail
11.9.2 FLIR Systems Business Overview
11.9.3 FLIR Systems Automatic Number Plate Recognition Systems Introduction
11.9.4 FLIR Systems Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.9.5 FLIR Systems Recent Development
11.10 Image Sensing Systems
11.10.1 Image Sensing Systems Company Detail
11.10.2 Image Sensing Systems Business Overview
11.10.3 Image Sensing Systems Automatic Number Plate Recognition Systems Introduction
11.10.4 Image Sensing Systems Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.10.5 Image Sensing Systems Recent Development
11.11 NDI Recognition Systems
11.11.1 NDI Recognition Systems Company Detail
11.11.2 NDI Recognition Systems Business Overview
11.11.3 NDI Recognition Systems Automatic Number Plate Recognition Systems Introduction
11.11.4 NDI Recognition Systems Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.11.5 NDI Recognition Systems Recent Development
11.12 LILIN
11.12.1 LILIN Company Detail
11.12.2 LILIN Business Overview
11.12.3 LILIN Automatic Number Plate Recognition Systems Introduction
11.12.4 LILIN Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.12.5 LILIN Recent Development
11.13 TitanHz
11.13.1 TitanHz Company Detail
11.13.2 TitanHz Business Overview
11.13.3 TitanHz Automatic Number Plate Recognition Systems Introduction
11.13.4 TitanHz Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.13.5 TitanHz Recent Development
11.14 FIDA Systems Ltd.
11.14.1 FIDA Systems Ltd. Company Detail
11.14.2 FIDA Systems Ltd. Business Overview
11.14.3 FIDA Systems Ltd. Automatic Number Plate Recognition Systems Introduction
11.14.4 FIDA Systems Ltd. Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.14.5 FIDA Systems Ltd. Recent Development
11.15 Selex ES
11.15.1 Selex ES Company Detail
11.15.2 Selex ES Business Overview
11.15.3 Selex ES Automatic Number Plate Recognition Systems Introduction
11.15.4 Selex ES Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.15.5 Selex ES Recent Development
11.16 Kritikal Solutions
11.16.1 Kritikal Solutions Company Detail
11.16.2 Kritikal Solutions Business Overview
11.16.3 Kritikal Solutions Automatic Number Plate Recognition Systems Introduction
11.16.4 Kritikal Solutions Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.16.5 Kritikal Solutions Recent Development
11.17 Genetec Inc.
11.17.1 Genetec Inc. Company Detail
11.17.2 Genetec Inc. Business Overview
11.17.3 Genetec Inc. Automatic Number Plate Recognition Systems Introduction
11.17.4 Genetec Inc. Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.17.5 Genetec Inc. Recent Development
11.18 INEX/ZAMIR
11.18.1 INEX/ZAMIR Company Detail
11.18.2 INEX/ZAMIR Business Overview
11.18.3 INEX/ZAMIR Automatic Number Plate Recognition Systems Introduction
11.18.4 INEX/ZAMIR Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.18.5 INEX/ZAMIR Recent Development
11.19 MAV Systems Limited
11.19.1 MAV Systems Limited Company Detail
11.19.2 MAV Systems Limited Business Overview
11.19.3 MAV Systems Limited Automatic Number Plate Recognition Systems Introduction
11.19.4 MAV Systems Limited Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.19.5 MAV Systems Limited Recent Development
11.20 Jenoptik
11.20.1 Jenoptik Company Detail
11.20.2 Jenoptik Business Overview
11.20.3 Jenoptik Automatic Number Plate Recognition Systems Introduction
11.20.4 Jenoptik Revenue in Automatic Number Plate Recognition Systems Business (2019-2024)
11.20.5 Jenoptik Recent Development
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
Published By : QY Research
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