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Pedestrian Detection System Market Size
- Report ID: GMI6833
- Published Date: Sep 2023
- Report Format: PDF
Pedestrian Detection System Market Size
Pedestrian Detection System Market size was valued at USD 7.5 billion in 2022 and is anticipated to register a CAGR of over 15% between 2023 and 2032. The increasing number of pedestrian-vehicle accidents, coupled with the growing urban population, is intensifying concerns about road safety. Pedestrian detection systems, equipped with advanced sensors and AI, are crucial in reducing pedestrian fatalities. Government regulations mandating their inclusion in vehicles, along with consumer demand for enhanced safety features, are driving market growth. Additionally, as autonomous vehicles gain traction, pedestrian detection systems are becoming indispensable components to ensure the safety of pedestrians and other road users in an evolving transportation landscape.
Advanced Driver Assistance Systems (ADAS) have become a major catalyst for the pedestrian detection system market. ADAS technologies, which include pedestrian detection features, are increasingly integrated into vehicles to enhance safety. Consumers, concerned about road safety, are showing a growing preference for vehicles equipped with ADAS, leading automakers to prioritize these features. As ADAS technology continues to evolve, pedestrian detection systems are becoming more accurate & sophisticated, further boosting their demand and adoption in the automotive industry.
| Report Attribute | Details |
|---|---|
| Base Year: | 2022 |
| Pedestrian Detection System Market Size in 2022: | USD 7.5 Billion |
| Forecast Period: | 2023 to 2032 |
| Forecast Period 2023 to 2032 CAGR: | 15% |
| 2032 Value Projection: | USD 30.1 Billion |
| Historical Data for: | 2018 to 2022 |
| No. of Pages: | 300 |
| Tables, Charts & Figures: | 226 |
| Segments covered: | Component and Types |
| Growth Drivers: |
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| Pitfalls & Challenges: |
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False positives and false negatives present a significant challenge for pedestrian detection systems. False positives occur when the system mistakenly identifies non-pedestrian objects or shadows as pedestrians, potentially causing unnecessary alerts or interventions. On the other hand, false negatives happen when the system fails to detect actual pedestrians, leading to missed warnings or collisions. Striking the right balance between sensitivity and specificity to minimize both types of errors is crucial for building trust in the system & ensuring its effectiveness in real-world scenarios.
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Pedestrian Detection System Market Scope
