Market Research Report
Market Data: Automated Driving Technologies - Sensor and Compute Platform: Global Market Forecasts
|Published by||Guidehouse Insights (formerly Navigant Research)||Product code||941817|
|Published||Content info||36 Pages; 74 Tables, Charts & Figures
Delivery time: 1-2 business days
|Market Data: Automated Driving Technologies - Sensor and Compute Platform: Global Market Forecasts|
|Published: June 12, 2020||Content info: 36 Pages; 74 Tables, Charts & Figures||
The development of highly automated driving (AD) systems has proven to be a bigger challenge than expected, and highly automated vehicles (HAVs) are not expected to be deployed at scale in the millions of units until well into the second half of the 2020s. However, there is an increasing push to add more capable advanced driver assist systems (ADAS) and expand availability of partially automated systems to conventional vehicles in the next few years.
Much of the core sensing technology and compute platforms initially developed for HAVs are being adapted to ADAS, providing a market for component suppliers to begin to recoup some of the investment made for HAVs and enabling safer vehicles. ADAS enhanced with sensors such as imaging radar, thermal imaging, and short-range lidar can provide more capable automatic emergency braking and crash avoidance. The integration of compute platforms initially developed for AD into new electrical architectures can also enable functions such as over-the-air updates. In the wake of the coronavirus pandemic, deliveries are also expected to be a growing sector of the economy as social distancing persists for an indeterminate period. Automated delivery bots will require many of these same technologies. Leveraging the underlying technologies for AD across the conventional vehicle fleet and new delivery vehicles will likely enable an earlier return on the massive investment already made in AD. As AD matures, the volumes of sensors required will continue to grow.
This Guidehouse Insights report examines the market for the main sensing technologies and compute platforms and provides global and regional market forecasts of sales at various levels of automation through 2030. Data is provided for LDVs and delivery bots used for consumer sales and commercial vehicles for cargo/goods delivery or passengers.