2025 年自动车牌识别 (ANPR) 市场报告(按细分市场、地域、动态、最新发展和战略见解)

  • Report Code : TIPTE100000124
  • Category : Electronics and Semiconductor
  • Status : Published
  • No. of Pages : 177
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Automatic Number Plate Recognition (ANPR) Market Report 2025

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全球自动车牌识别市场预计将从 2017 年的 6.6917 亿美元增长到 2025 年的 16.5435 亿美元,2017 年至 2025 年期间的复合年增长率为 12.0%。

 

预计在不久的将来,全球自动车牌识别市场呈现高增长,推动增长的主要因素包括发达国家和发展中国家对智能停车概念的接受度不断提高以及新兴国家的基础设施增长。然而,预测期内,共享平台的发展以及技术进步是自动车牌识别市场未来的一些趋势。

 

市场洞察

 

 

安全与监控应用领域在全球范围内受到青睐

 

自动车牌识别概念的出现主要集中在监控车辆上。世界各国都面临着各种类型的犯罪,由于车辆易于逃逸,基于车辆的犯罪呈上升趋势。遏制此类犯罪已成为必要,因此,将 ANPR 系统集成到安全系统中已被证明非常有用。此外,世界各国政府还制定了有关速度限制和汽车拥有量的各种法规,以控制交通拥堵问题和空气污染问题,尤其是在大都市地区。因此,使用 ANPR 摄像机可以很好地支持对这些法规的检查,因此其市场正在见证采用的牵引力。

 

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自动车牌识别 (ANPR) 市场:

自动车牌识别 (ANPR) 市场
  • Automatic Number Plate Recognition (ANPR) Market
    复合年增长率(2017 - 2025)
    12.0%
  • 2017 年市场规模
    6.6917 亿美元
  • 2025 年市场规模
    16.5435 亿美元

市场动态

增长动力
  • 財政部
  • 財政部
  • 財政部
未来的趋势
  • 財政部
  • 財政部
  • 財政部
机会
  • 財政部
  • 財政部
  • 財政部

关键人物;主力;重要一员

  •  
  • 3M 公司
  • ARH 公司
  • COBAN 技术公司
  • 数字识别系统有限公司
  • Genetec 公司
  • 耶拿公司
  • 无水硫酸铝
  • 西门子股份公司
  • 塔蒂尔 SRL

区域概况

Automatic Number Plate Recognition (ANPR) Market
  • 北美
  • 欧洲
  • 亚太
  • 南美洲和中美洲
  • 中东和非洲

市场细分

Automatic Number Plate Recognition (ANPR) Market应用
  • 车辆停车
  • 交通管理
  • 安全与监控以及收费执法
Automatic Number Plate Recognition (ANPR) Market系统类型
  • 移动的
  • 便携式车牌识别系统
  • 固定式 ANPR
Automatic Number Plate Recognition (ANPR) Market终端使用行业
  • 政府和商业
  • 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。

 

 

自动车牌识别市场有望在亚太地区蓬勃发展

 

亚太地区由中国、日本、韩国和印度等多个发展中国家组成,这些国家的人口正在高速增长,进一步催生了该地区对更好公共设施的大量需求。由于联网设备和工业化的使用不断增加,亚太地区的自动车牌识别市场一直在经历显着增长。澳大利亚在自动车牌识别系统部署方面处于领先地位,而中国和韩国在亚太地区的自动车牌识别市场中占据第二大份额,ANPR 和 ITS 行业正在采取大量智能举措。这些因素预计将进一步推动亚太地区对自动车牌识别的需求。

新产品开发被视为全球自动车牌识别市场最常采用的策略。以下列出了自动车牌识别市场中一些参与者最近采用的一些策略:

2017 年:3M 公司推出“革命性” ANPR 摄像头
2017 年:西门子在伦敦完成永久平均速度执法系统的部署。
2017 年:Q-Free 与昆士兰州交通和主要道路部 (TMR) 合作开展其第三个澳大利亚合作 ITS (C-ITS) 项目。
2017 年:Q-Free 的 Intrada 自动车牌识别 (ALPR) 技术经过认证,可与美国公司 C2P 的软件配合使用。

 

自动车牌识别 (ANPR) 市场报告范围

报告属性细节
2017年市场规模6.6917亿美元
2025 年市场规模16.5435亿美元
全球复合年增长率(2017 - 2025)12.0%
历史数据2015-2016
预测期2018-2025
涵盖的领域按应用
  • 车辆停车
  • 交通管理
  • 安全与监控以及收费执法
按系统类型
  • 移动的
  • 便携式车牌识别系统
  • 固定式 ANPR
按最终用途行业
  • 政府和商业
覆盖地区和国家北美
  • 我们
  • 加拿大
  • 墨西哥
欧洲
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 意大利
  • 欧洲其他地区
亚太
  • 中国
  • 印度
  • 日本
  • 澳大利亚
  • 亚太其他地区
南美洲和中美洲
  • 巴西
  • 阿根廷
  • 南美洲和中美洲其他地区
中东和非洲
  • 南非
  • 沙特阿拉伯
  • 阿联酋
  • 中东和非洲其他地区
市场领导者和主要公司简介
  •  
  • 3M 公司
  • ARH 公司
  • COBAN 技术公司
  • 数字识别系统有限公司
  • Genetec 公司
  • 耶拿公司
  • 无水硫酸铝
  • 西门子股份公司
  • 塔蒂尔 SRL
  • 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。

 

 

全球自动车牌识别 – 市场细分

 


按应用

  • 车辆停车
  • 交通管理
  • 安全与监控
  • 收费执法

 

按系统类型

  • 移动的
  • 便携式车牌识别系统
  • 固定式 ANPR

 

按最终用户

  • 政府
  • 商业的

 

按地理位置

  • 北美

    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲

    • 法国
    • 德国
    • 意大利
    • 英国
  • 亚太地区 (APAC)

    • 日本
    • 中国
    • 印度
    • 亚太地区其他地区
  • 中东和非洲 (MEA)

    • 南非
    • 阿联酋
  • 南美洲 (SAM)

    • 巴西

 

公司简介

  • 3M 公司
  • ARH 公司
  • COBAN 技术公司
  • 数字识别系统有限公司
  • Genetec 公司
  • 耶拿公司
  • 无水硫酸铝
  • 西门子股份公司
  • 塔蒂尔 SRL
  • 警惕的解决方案
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

The List of Companies

1. 3m Company
2. ARH, Inc.
3. COBAN Technologies, Inc.
4. Digital Recognition Systems, Ltd.
5. Genetec, Inc.
6. Jenoptik AG
7. Q-Free ASA
8. Siemens AG
9. Tattile S.R.L
10. Vigilant Solutions

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

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Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

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Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

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  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

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  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

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We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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