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Parking Assistance and Autonomous Valet Parking Systems

Price: Starting at USD 3,000
Publish Date: 13 Sep 2021
Code: AN-5405
Research Type: Report
Pages: 31
Actionable Benefits

Actionable Benefits

  • Build future-proof hardware and software solutions based on the expected evolution of parking system’s architecture.
  • Use the parking systems market sizing and revenue forecasts for strategy formulation and product planning.
  • Identify the benefits and limitations of the three possible SAE L4 Autonomous Valet Parking (AVP) deployment strategies.
Research Highlights

Research Highlights

  • In-depth analysis of parking systems’ evolution from passive assistance to AVP.
  • Detailed assessment of the three possible AVP deployments, including their hardware requirements, advantages, challenges, the path to market, and business models.
  • Nine-year shipment and revenue forecasts of parking systems with different levels of autonomy.
Critical Questions Answered

Critical Questions Answered

  • What are the sensor and computing requirements in parking systems with different levels of autonomy?
  • What are the market sizing and revenue opportunity for passive, semi-automated, automated, and autonomous parking systems within the next nine years?
  • When will SAE L4 AVP gain market traction, and how will it be deployed?
Who Should Read This?

Who Should Read This?

  • Decision-makers at OEMs and Tier 1s responsible for ADAS and autonomous technology deployments.
  • Product managers at sensor technology developers.
  • Automotive product managers at semiconductor vendors.
  • Decision markers at parking service providers and car park operators looking to offer AVP.

Companies Mentioned

Baidu, Inc.
BOSCH
Continental
Mercedes-Benz
Mobileye
Nissan
NVIDIA
NXP Semiconductors
Siemens
Valeo
Xilinx, Inc.

Table of Contents

1. EXECUTIVE SUMMARY

2. EVOLUTION OF PARKING SYSTEMS

2.1. Parking Assist
2.2. Semi-Automated Parking Assist (SAPA)
2.3. Remote/Automated Parking Assist (APA)
2.4. Park by Memory (PBM)/Home Parking

3. AUTONOMOUS VALET PARKING (AVP)

3.1. AVP Type 1
3.2. AVP Type 2
3.3. AVP Type 3

4. ARCHITECTURE

4.1. Path to Hardware Integration
4.2. Sensor Upgrade Challenges
4.3. Key Players

5. FORECASTS

5.1. Tier One Market Share
5.2. Parking Assist
5.3. SEMI-AUTOMATED PARKING ASSIST
5.4. REMOTE/AUTOMATED PARKING ASSIST
5.5. Autonomous Valet Parking
5.6. Total Parking Market

Companies Mentioned

  • Baidu, Inc.
  • BOSCH
  • Continental
  • Mercedes-Benz
  • Mobileye
  • Nissan
  • NVIDIA
  • NXP Semiconductors
  • Siemens
  • Valeo
  • Xilinx, Inc.