Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Vehicle Identity Recognition (VIR) Market by Type (Mobile, Fixed, Portable), By Application (Traffic Management, Law Enforcement, Electronic Toll Collection, Parking Management, Others) And By Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Vehicle Identity Recognition (VIR) Market by Type (Mobile, Fixed, Portable), By Application (Traffic Management, Law Enforcement, Electronic Toll Collection, Parking Management, Others) And By Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 141047 3300 Automobile & Transportation 377 247 Pages 4.6 (48)
                                          

Market Overview:


The global Vehicle Identity Recognition (VIR) market is expected to grow at a CAGR of 10.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for advanced traffic management solutions, rising number of vehicles on the road, and growing adoption of VIR technology for law enforcement and electronic toll collection applications. Based on type, the global VIR market can be segmented into mobile, fixed, and portable devices. The mobile device segment is expected to account for the largest share of the global VIR market in 2018 owing to its growing popularity among end users due to its portability and ease of use. Based on application, traffic management is expected to account for the largest share of the global VIR market in 2018 followed by law enforcement and electronic toll collection applications.


Global Vehicle Identity Recognition (VIR) Industry Outlook


Product Definition:


Vehicle Identity Recognition (VIR) is the process of identifying a specific vehicle from among a group of similar vehicles. This can be done through various means, such as license plate recognition or facial recognition. The importance of Vehicle Identity Recognition (VIR) lies in its ability to help authorities track and identify specific vehicles involved in criminal activity, as well as to improve traffic management.


Mobile:


The global market for vehicle identity recognition is expected to witness significant growth over the forecast period. The increasing demand for automated vehicles and the growing emphasis on connected car technology are expected to drive the growth of this market. Vehicle identity recognition systems enable an automobile manufacturer or a service provider to identify a particular vehicle by its unique identification number or by some other means, e.g.


Fixed:


The fixed and it’s usage in vehicle identity recognition market is expected to grow at a significant pace over the forecast period. The growth of this industry can be attributed to the increasing demand for automobile safety features such as anti-theft system, keyless entry, and automatic emergency braking. These features are enabled by using advanced technologies such as vision-based systems or radar-based systems that provide identification of objects around the vehicle.


Application Insights:


Based on applications, the market has been segmented into traffic management, law enforcement, e-toll collection, parking management and others. The e-toll collection segment is expected to dominate the global vehicle identity recognition application market over the forecast period owing to its high level of adoption in various countries across Europe and Asia Pacific.


The growing need for managing traffic through effective transportation planning is anticipated to drive demand for VIR in traffic management applications. Furthermore, governments are increasingly deploying VIR solutions at toll Collection Points (CPs) as well as on highways themselves to aid drivers with EZ Pass transponders during Toll Collection Periods (TCP). Such factors are expected fuel growth during the forecast period.


Regional Analysis:


North America dominated the global market in 2017. The region is expected to maintain its position during the forecast period. This can be attributed to increasing investments in VIR technology and growing adoption of mobility services across various industries, such as transportation, retail & e-commerce, and others. Moreover, presence of prominent players such as Mobileye; Google LLC; Qualcomm Inc.; Delphi Automotive PLC; and HERE Technologies GmbH is also contributing toward growth of the regional market.


The Asia Pacific regional market is anticipated to grow at a significant rate over the forecast period owing to increasing deployment of VIR solutions for traffic management purposes across various cities in China and India. For instance: In December 2016, Alibaba Group Holding Ltd., a Chinese e-commerce & retail company entered into a partnership with SIA Engineering Consulting Co., Ltd., an Indian civil engineering consulting firm for developing smart city projects based on vehicle identity recognition technologies across both countries (India & China).


Growth Factors:


  • Increasing demand for authenticated and secure vehicle identification.
  • Proliferation of connected cars and autonomous vehicles, which will require advanced VIR systems for identification, communication, and navigation purposes.
  • Growing concerns over vehicle theft and security threats that can be mitigated through the use of VIR technologies.
  • The increasing need for data-driven insights on traffic patterns, congestion levels, etc., which can be gathered through the deployment of VIR systems in smart cities/urban areas 5

Scope Of The Report

Report Attributes

Report Details

Report Title

Vehicle Identity Recognition (VIR) Market Research Report

By Type

Mobile, Fixed, Portable

By Application

Traffic Management, Law Enforcement, Electronic Toll Collection, Parking Management, Others

By Companies

Siemens, Rekor, Jenoptik, Vivotek, Neology, Survision, Genetec, Kapsch TrafficCom, ARH, Bosch Security Systems, Q-free (Dacolian), NDI Recognition Systems, Tattile, Perceptics, GeoVision, HTS, Leonardo Company, TagMaster, MAV Systems, Nedap, Petards Group, ParkingEye Limited, Arvoo Imaging Products, Inex Tech

Regions Covered

North America, Europe, APAC, Latin America, MEA

Base Year

2021

Historical Year

2019 to 2020 (Data from 2010 can be provided as per availability)

Forecast Year

2030

Number of Pages

247

Number of Tables & Figures

173

Customization Available

Yes, the report can be customized as per your need.


Global Vehicle Identity Recognition (VIR) Market Report Segments:

The global Vehicle Identity Recognition (VIR) market is segmented on the basis of:

Types

Mobile, Fixed, Portable

The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.

Applications

Traffic Management, Law Enforcement, Electronic Toll Collection, Parking Management, Others

The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.

Some of the companies that are profiled in this report are:

  1. Siemens
  2. Rekor
  3. Jenoptik
  4. Vivotek
  5. Neology
  6. Survision
  7. Genetec
  8. Kapsch TrafficCom
  9. ARH
  10. Bosch Security Systems
  11. Q-free (Dacolian)
  12. NDI Recognition Systems
  13. Tattile
  14. Perceptics
  15. GeoVision
  16. HTS
  17. Leonardo Company
  18. TagMaster
  19. MAV Systems
  20. Nedap
  21. Petards Group
  22. ParkingEye Limited
  23. Arvoo Imaging Products
  24. Inex Tech

Global Vehicle Identity Recognition (VIR) Market Overview


Highlights of The Vehicle Identity Recognition (VIR) Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. Mobile
    2. Fixed
    3. Portable
  1. By Application:

    1. Traffic Management
    2. Law Enforcement
    3. Electronic Toll Collection
    4. Parking Management
    5. Others
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. Government Policies, Macro & Micro economic factors are also included in the report.

We have studied the Vehicle Identity Recognition (VIR) Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.

Regional Analysis

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.

The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.

How you may use our products:

  • Correctly Positioning New Products
  • Market Entry Strategies
  • Business Expansion Strategies
  • Consumer Insights
  • Understanding Competition Scenario
  • Product & Brand Management
  • Channel & Customer Management
  • Identifying Appropriate Advertising Appeals

Global Vehicle Identity Recognition (VIR) Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. Customization of the Report Available

Frequently Asked Questions?


Vehicle identity recognition (VIR) is a technology that can identify and track vehicles. This technology can be used to detect when a vehicle has been stolen, or when the driver has left the vehicle in a parking lot without locking it.

Some of the major players in the vehicle identity recognition (vir) market are Siemens, Rekor, Jenoptik, Vivotek, Neology, Survision, Genetec, Kapsch TrafficCom, ARH, Bosch Security Systems, Q-free (Dacolian), NDI Recognition Systems, Tattile, Perceptics, GeoVision, HTS, Leonardo Company, TagMaster, MAV Systems, Nedap, Petards Group, ParkingEye Limited, Arvoo Imaging Products, Inex Tech.

The vehicle identity recognition (vir) market is expected to grow at a compound annual growth rate of 10.5%.

                                            
1. Executive Summary

2. Assumptions and Acronyms Used

3. Research Methodology

4. Vehicle Identity Recognition (VIR) Market Overview
   4.1. Introduction
      4.1.1. Market Taxonomy
      4.1.2. Market Definition
   4.2. Macro-Economic Factors
      4.2.1. Industry Outlook
   4.3. Vehicle Identity Recognition (VIR) Market Dynamics
      4.3.1. Market Drivers
      4.3.2. Market Restraints
      4.3.3. Opportunity
      4.3.4. Market Trends
   4.4. Vehicle Identity Recognition (VIR) Market - Supply Chain
   4.5. Global Vehicle Identity Recognition (VIR) Market Forecast
      4.5.1. Vehicle Identity Recognition (VIR) Market Size (US$ Mn) and Y-o-Y Growth
      4.5.2. Vehicle Identity Recognition (VIR) Market Size (000’ Units) and Y-o-Y Growth
      4.5.3. Vehicle Identity Recognition (VIR) Market Absolute $ Opportunity

5. Global Vehicle Identity Recognition (VIR) Market Analysis and Forecast by Type
   5.1. Market Trends
   5.2. Introduction
      5.2.1. Basis Point Share (BPS) Analysis by Type
      5.2.2. Y-o-Y Growth Projections by Type
   5.3. Vehicle Identity Recognition (VIR) Market Size and Volume Forecast by Type
      5.3.1. Mobile
      5.3.2. Fixed
      5.3.3. Portable
   5.4. Absolute $ Opportunity Assessment by Type
   5.5. Market Attractiveness/Growth Potential Analysis by Type

6. Global Vehicle Identity Recognition (VIR) Market Analysis and Forecast by Application
   6.1. Market Trends
   6.2. Introduction
      6.2.1. Basis Point Share (BPS) Analysis by Application
      6.2.2. Y-o-Y Growth Projections by Application
   6.3. Vehicle Identity Recognition (VIR) Market Size and Volume Forecast by Application
      6.3.1. Traffic Management
      6.3.2. Law Enforcement
      6.3.3. Electronic Toll Collection
      6.3.4. Parking Management
      6.3.5. Others
   6.4. Absolute $ Opportunity Assessment by Application
   6.5. Market Attractiveness/Growth Potential Analysis by Application

7. Global Vehicle Identity Recognition (VIR) Market Analysis and Forecast by Sales Channel
   7.1. Market Trends
   7.2. Introduction
      7.2.1. Basis Point Share (BPS) Analysis by Sales Channel 
      7.2.2. Y-o-Y Growth Projections by Sales Channel
   7.3. Vehicle Identity Recognition (VIR) Market Size and Volume Forecast by Sales Channel 
      7.3.1. Manufacturer/Distributor/Service Provider
      7.3.2. Aftermarket
   7.4. Absolute $ Opportunity Assessment by Sales Channel
   7.5. Market Attractiveness/Growth Potential Analysis by Sales Channel

8. Global Vehicle Identity Recognition (VIR) Market Analysis and Forecast by Region
   8.1. Market Trends
   8.2. Introduction
      8.2.1. Basis Point Share (BPS) Analysis by Region
      8.2.2. Y-o-Y Growth Projections by Region
   8.3. Vehicle Identity Recognition (VIR) Market Size and Volume Forecast by Region
      8.3.1. North America
      8.3.2. Latin America
      8.3.3. Europe
      8.3.4. Asia Pacific
      8.3.5. Middle East and Africa (MEA)
   8.4. Absolute $ Opportunity Assessment by Region
   8.5. Market Attractiveness/Growth Potential Analysis by Region
   8.6. Global Vehicle Identity Recognition (VIR) Demand Share Forecast, 2019-2026

9. North America Vehicle Identity Recognition (VIR) Market Analysis and Forecast
   9.1. Introduction
      9.1.1. Basis Point Share (BPS) Analysis by Country
      9.1.2. Y-o-Y Growth Projections by Country
   9.2. North America Vehicle Identity Recognition (VIR) Market Size and Volume Forecast by Country
      9.2.1. U.S.
      9.2.2. Canada
   9.3. Absolute $ Opportunity Assessment by Country
   9.4. North America Vehicle Identity Recognition (VIR) Market Size and Volume Forecast by Application
      9.4.1. Traffic Management
      9.4.2. Law Enforcement
      9.4.3. Electronic Toll Collection
      9.4.4. Parking Management
      9.4.5. Others
   9.5. Basis Point Share (BPS) Analysis by Application
   9.6. Y-o-Y Growth Projections by Application
   9.7. North America Vehicle Identity Recognition (VIR) Market Size and Volume Forecast by Type
      9.7.1. Mobile
      9.7.2. Fixed
      9.7.3. Portable
   9.8. Basis Point Share (BPS) Analysis by Type
   9.9. Y-o-Y Growth Projections by Type
   9.10. Market Attractiveness/Growth Potential Analysis
      9.10.1. By Country
      9.10.2. By Product Type
      9.10.3. By Application
      9.10.4. By Sales Channel
   9.11. North America Vehicle Identity Recognition (VIR) Demand Share Forecast, 2019-2026

10. Latin America Vehicle Identity Recognition (VIR) Market Analysis and Forecast
   10.1. Introduction
      10.1.1. Basis Point Share (BPS) Analysis by Country
      10.1.2. Y-o-Y Growth Projections by Country
      10.1.3. Latin America Average Pricing Analysis
   10.2. Latin America Vehicle Identity Recognition (VIR) Market Size and Volume Forecast by Country
      10.2.1. Brazil
      10.2.2. Mexico
      10.2.3. Rest of Latin America
   10.3. Absolute $ Opportunity Assessment by Country
   10.4. Latin America Vehicle Identity Recognition (VIR) Market Size and Volume Forecast by Application
      10.4.1. Traffic Management
      10.4.2. Law Enforcement
      10.4.3. Electronic Toll Collection
      10.4.4. Parking Management
      10.4.5. Others
   10.5. Basis Point Share (BPS) Analysis by Application
   10.6. Y-o-Y Growth Projections by Application
   10.7. Latin America Vehicle Identity Recognition (VIR) Market Size and Volume Forecast by Type
      10.7.1. Mobile
      10.7.2. Fixed
      10.7.3. Portable
   10.8. Basis Point Share (BPS) Analysis by Type
   10.9. Y-o-Y Growth Projections by Type
   10.10. Market Attractiveness/Growth Potential Analysis
      10.10.1. By Country
      10.10.2. By Product Type
      10.10.3. By Application
      10.10.4. By Sales Channel
   10.11. Latin America Vehicle Identity Recognition (VIR) Demand Share Forecast, 2019-2026

11. Europe Vehicle Identity Recognition (VIR) Market Analysis and Forecast
   11.1. Introduction
      11.1.1. Basis Point Share (BPS) Analysis by Country
      11.1.2. Y-o-Y Growth Projections by Country
      11.1.3. Europe Average Pricing Analysis
   11.2. Europe Vehicle Identity Recognition (VIR) Market Size and Volume Forecast by Country
      11.2.1. Germany
      11.2.2. France
      11.2.3. Italy
      11.2.4. U.K.
      11.2.5. Spain
      11.2.6. Russia
      11.2.7. Rest of Europe
   11.3. Absolute $ Opportunity Assessment by Country
   11.4. Europe Vehicle Identity Recognition (VIR) Market Size and Volume Forecast by Application
      11.4.1. Traffic Management
      11.4.2. Law Enforcement
      11.4.3. Electronic Toll Collection
      11.4.4. Parking Management
      11.4.5. Others
   11.5. Basis Point Share (BPS) Analysis by Application
   11.6. Y-o-Y Growth Projections by Application
   11.7. Europe Vehicle Identity Recognition (VIR) Market Size and Volume Forecast by Type
      11.7.1. Mobile
      11.7.2. Fixed
      11.7.3. Portable
   11.8. Basis Point Share (BPS) Analysis by Type
   11.9. Y-o-Y Growth Projections by Type
   11.10. Market Attractiveness/Growth Potential Analysis
      11.10.1. By Country
      11.10.2. By Product Type
      11.10.3. By Application
      11.10.4. By Sales Channel
   11.11. Europe Vehicle Identity Recognition (VIR) Demand Share, 2019-2026

12. Asia Pacific Vehicle Identity Recognition (VIR) Market Analysis and Forecast
   12.1. Introduction
      12.1.1. Basis Point Share (BPS) Analysis by Country
      12.1.2. Y-o-Y Growth Projections by Country
      12.1.3. Asia Pacific Average Pricing Analysis
   12.2. Asia Pacific Vehicle Identity Recognition (VIR) Market Size and Volume Forecast by Country
      12.2.1. China
      12.2.2. Japan
      12.2.3. South Korea
      12.2.4. India
      12.2.5. Australia
      12.2.6. Rest of Asia Pacific (APAC)
   12.3. Absolute $ Opportunity Assessment by Country
   12.4. Asia Pacific Vehicle Identity Recognition (VIR) Market Size and Volume Forecast by Application
      12.4.1. Traffic Management
      12.4.2. Law Enforcement
      12.4.3. Electronic Toll Collection
      12.4.4. Parking Management
      12.4.5. Others
   12.5. Basis Point Share (BPS) Analysis by Application
   12.6. Y-o-Y Growth Projections by Application
   12.7. Asia Pacific Vehicle Identity Recognition (VIR) Market Size and Volume Forecast by Type
      12.7.1. Mobile
      12.7.2. Fixed
      12.7.3. Portable
   12.8. Basis Point Share (BPS) Analysis by Type
   12.9. Y-o-Y Growth Projections by Type
   12.10. Market Attractiveness/Growth Potential Analysis
      12.10.1. By Country
      12.10.2. By Product Type
      12.10.3. By Application
      12.10.4. By Sales Channel
   12.11. Asia Pacific Vehicle Identity Recognition (VIR) Demand Share, 2019-2026

13. Middle East & Africa Vehicle Identity Recognition (VIR) Market Analysis and Forecast
   13.1. Introduction
      13.1.1. Basis Point Share (BPS) Analysis by Country
      13.1.2. Y-o-Y Growth Projections by Country
      13.1.3. Asia Pacific Average Pricing Analysis
   13.2. Middle East & Africa Vehicle Identity Recognition (VIR) Market Size and Volume Forecast by Country
      13.2.1. Saudi Arabia
      13.2.2. South Africa
      13.2.3. UAE
      13.2.4. Rest of Middle East & Africa (MEA)
   13.3. Absolute $ Opportunity Assessment by Country
   13.4. Middle East & Africa Vehicle Identity Recognition (VIR) Market Size and Volume Forecast by Application
      13.4.1. Traffic Management
      13.4.2. Law Enforcement
      13.4.3. Electronic Toll Collection
      13.4.4. Parking Management
      13.4.5. Others
   13.5. Basis Point Share (BPS) Analysis by Application
   13.6. Y-o-Y Growth Projections by Application
   13.7. Middle East & Africa Vehicle Identity Recognition (VIR) Market Size and Volume Forecast by Type
      13.7.1. Mobile
      13.7.2. Fixed
      13.7.3. Portable
   13.8. Basis Point Share (BPS) Analysis by Type
   13.9. Y-o-Y Growth Projections by Type
   13.10. Market Attractiveness/Growth Potential Analysis
      13.10.1. By Country
      13.10.2. By Product Type
      13.10.3. By Application
      13.10.4. By Sales Channel
   13.11. Middle East & Africa Vehicle Identity Recognition (VIR) Demand Share, 2019-2026

14. Competition Landscape
   14.1. Global Vehicle Identity Recognition (VIR) Market: Market Share Analysis
   14.2. Vehicle Identity Recognition (VIR) Distributors and Customers
   14.3. Vehicle Identity Recognition (VIR) Market: Competitive Dashboard
   14.4. Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      14.4.1. Siemens
         14.4.1.1. Overview
         14.4.1.2. Financials
         14.4.1.3. Developments
         14.4.1.4. Strategic Outlook
      14.4.2. Rekor
         14.4.2.1. Overview
         14.4.2.2. Financials
         14.4.2.3. Developments
         14.4.2.4. Strategic Outlook
      14.4.3. Jenoptik
         14.4.3.1. Overview
         14.4.3.2. Financials
         14.4.3.3. Developments
         14.4.3.4. Strategic Outlook
      14.4.4. Vivotek
         14.4.4.1. Overview
         14.4.4.2. Financials
         14.4.4.3. Developments
         14.4.4.4. Strategic Outlook
      14.4.5. Neology
         14.4.5.1. Overview
         14.4.5.2. Financials
         14.4.5.3. Developments
         14.4.5.4. Strategic Outlook
      14.4.6. Survision
         14.4.6.1. Overview
         14.4.6.2. Financials
         14.4.6.3. Developments
         14.4.6.4. Strategic Outlook
      14.4.7. Genetec
         14.4.7.1. Overview
         14.4.7.2. Financials
         14.4.7.3. Developments
         14.4.7.4. Strategic Outlook
      14.4.8. Kapsch TrafficCom
         14.4.8.1. Overview
         14.4.8.2. Financials
         14.4.8.3. Developments
         14.4.8.4. Strategic Outlook
      14.4.9. ARH
         14.4.9.1. Overview
         14.4.9.2. Financials
         14.4.9.3. Developments
         14.4.9.4. Strategic Outlook
      14.4.10. Bosch Security Systems
         14.4.10.1. Overview
         14.4.10.2. Financials
         14.4.10.3. Developments
         14.4.10.4. Strategic Outlook
      14.4.11. Q-free (Dacolian)
         14.4.11.1. Overview
         14.4.11.2. Financials
         14.4.11.3. Developments
         14.4.11.4. Strategic Outlook
      14.4.12. NDI Recognition Systems
         14.4.12.1. Overview
         14.4.12.2. Financials
         14.4.12.3. Developments
         14.4.12.4. Strategic Outlook
      14.4.13. Tattile
         14.4.13.1. Overview
         14.4.13.2. Financials
         14.4.13.3. Developments
         14.4.13.4. Strategic Outlook
      14.4.14. Perceptics
         14.4.14.1. Overview
         14.4.14.2. Financials
         14.4.14.3. Developments
         14.4.14.4. Strategic Outlook
      14.4.15. GeoVision
         14.4.15.1. Overview
         14.4.15.2. Financials
         14.4.15.3. Developments
         14.4.15.4. Strategic Outlook
      14.4.16. HTS
         14.4.16.1. Overview
         14.4.16.2. Financials
         14.4.16.3. Developments
         14.4.16.4. Strategic Outlook
      14.4.17. Leonardo Company
         14.4.17.1. Overview
         14.4.17.2. Financials
         14.4.17.3. Developments
         14.4.17.4. Strategic Outlook
      14.4.18. TagMaster
         14.4.18.1. Overview
         14.4.18.2. Financials
         14.4.18.3. Developments
         14.4.18.4. Strategic Outlook
      14.4.19. MAV Systems
         14.4.19.1. Overview
         14.4.19.2. Financials
         14.4.19.3. Developments
         14.4.19.4. Strategic Outlook
      14.4.20. Nedap
         14.4.20.1. Overview
         14.4.20.2. Financials
         14.4.20.3. Developments
         14.4.20.4. Strategic Outlook

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