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The Germany Traffic Sign Recognition market is segmented by Traffic Sign Detection Type (Color-based Detection, Shape-based Detection, and Feature-based Detection), and vehicle type (Passenger Cars and Commercial Vehicle)
The Germany traffic sign recognition market is poised to register a CAGR of over 10% during the forecast period (2020-2025).
The Germany traffic signal recognition markets cover the latest trends and technological development and provide analysis on the market demand by type, vehicle, country and market share of major traffic signal recognition manufacturing companies in Germany
|By Vehicle Type|
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Modern vehicles have become smarter and safer as more connected cars, autonomous cars, and ADAS are entering the market. The vehicle technologies which are presently available will soon be overlapped by new technologies which will require fewer human participants. Automotive companies are developing new and improved technologies for staying ahead in the market. For instance, in 2019, Audi announces the introduction of the vehicle-to-infrastructure (V2I) service Traffic Light Information in Europe. According to that Audi will synchronize its new models with the traffic lights in Ingolstadt, Germany. After which it will be applied in other European cities from 2020 onwards. This technology will help drivers will help the drivers by displaying what speed is required to reach the next traffic light on the green in the cockpit.
Whereas in 2018, DENSO Corporation announced that it has developed a vision sensor that can detect pedestrians at night, cyclists, road signs, and driving lanes. When it is employed with a millimeter-wave radar sensor, the vision sensor allows vehicles to automatically activate emergency braking when obstacles are identified.
Apart from automotive tier 1 or tier 2 players various semiconductors and software companies have entered into the ADAS market as modern cars are becoming software governed rather than driver governed. For instance,
In 2020 Consumer Electronics Show (CES), Qualcomm Technologies, Inc. launched Qualcomm Snapdragon Ride Platform which is an open autonomous driving solution, This platform offers automakers a suitable solution for all three industry segments of autonomous systems, that include automatic emergency braking, traffic sign recognition, automated highway driving, self-parking and lane-keeping assist functions.
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As a result, to combat the spread of the coronavirus in Germany, the government closed factories, shops, schools from March and asked everyone to stay at home to help curb the outbreak. One of the main industries of Germany’s economy is the automotive industry which has seen its sharpest decline in decades due to this pandemic. According to the European Commission, new car registrations in Germany decreased by 61% in April after a 38% decline in March. In addition to that country’s economy will probably shrink by 6.5% in 2020.
In May the country started easing some restrictions such as allowing shops to reopen while factories are restarting their production lines, in addition to that huge fiscal support, is announced by the German government. The total stimulus package worth USD 146 billion is announced to support companies and workers in Germany one of Europe’s largest economy to recover quickly from the pandemic.
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The Germany traffic signal recognition market is consolidated with the presence of many major players like Robert Bosch Gmbh, DENSO Corporation, Continental AG, HELLA GmbH & Co. KGaA, and among others. Companies are introducing various new technologies and joining hands with other players to stay ahead in the market. For instance,
1.1 Study Assumptions
1.2 Scope of the Study
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET DYNAMICS
4.1 Market Drivers
4.2 Market Restraints
4.3 Industry Attractiveness - Porter's Five Forces Analysis
4.3.1 Threat of New Entrants
4.3.2 Bargaining Power of Buyers/Consumers
4.3.3 Bargaining Power of Suppliers
4.3.4 Threat of Substitute Products
4.3.5 Intensity of Competitive Rivalry
5. MARKET SEGMENTATION
5.1 By Type
5.1.1 Color-based Detection
5.1.2 Shape-based Detection
5.1.3 Feature-based Detection
5.2 By Vehicle Type
5.2.1 Passenger Cars
5.2.2 Commercial Vehicles
6. COMPETITIVE LANDSCAPE
6.1 Vendor Market Share
6.2 Company Profiles
6.2.1 Continental AG
6.2.2 Robert Bosch GmbH
6.2.3 DENSO Corporation
6.2.4 Toshiba Corporation
6.2.5 HELLA GmbH & Co. KGaA
6.2.6 Mobileye Corporation
6.2.7 Ford Motor Company
6.2.8 Tesla Inc.
7. MARKET OPPORTUNITIES AND FUTURE TRENDS
** Subject to Availability