PUBLISHER: Allied Market Research | PRODUCT CODE: 1179606
PUBLISHER: Allied Market Research | PRODUCT CODE: 1179606
The report incorporates the study of the global HD map for autonomous vehicles market that focuses on important role of HD map in the autonomous driving modules including perception, simulation, localization, and path planning. This map is used for self-driving assistance with extremely high precision using centimeter scale and can call as the eye of the autonomous vehicles. HD maps ensures safety and security of autonomous driving, the maps are highly up-to-date, accurate, and provides realistic picture of the road. It provides exact location of the autonomous vehicle, the path it is using while travelling. The map also identifies poles, lights, and signs for 360-degree perception. Moreover, the map also provides the best solution in complex environment such as during on-the-road maneuvers, taking exits and changing lanes. Moreover, the map also provides the vehicle with information's such as elevation, curvature, lane slope, road shape and road traffic thus, helping the vehicle to plan a path along its route.
The factors such as rise in the adoption of autonomous vehicles, growing importance of HD map for safe autonomous driving, and advancement in 5G technology supplement the growth of the HD map for autonomous vehicles market. However, high cost associated with technology and limited standardization in HD maps are the factors expected to hamper the growth of the HD map for autonomous vehicles market. In addition, growth in connected infrastructure and improved road regulations and rising investments in mapping technology creates market opportunities for the key players operating in the HD map for autonomous vehicles market.
For the purpose of analysis, the global HD map for autonomous vehicles market is segmented on the basis of service type, vehicle type, usage type, solution, level of automation, and region. By service type, the market is divided into mapping, localization, updates & maintenance, and advertisement. By vehicle type, it is fragmented into passenger cars and commercial vehicles. By usage type, it is categorized into personal mobility and commercial mobility. By solution, it is further classified into cloud-based and embedded. By level of automation, it is categorized into level 2, level 3, level 4, and level 5. By region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The leading players operating in the HD map for autonomous vehicles market are AutoNavi, Baidu, Inc., Civil maps, DeepMap, Inc., Dynamic Map Platform Co., Ltd., Esri, HERE, Mapbox, Momenta, NavInfo Co., Ltd., Navmii, NVIDIA Corporation, The Sanborn Map Company, Inc., TomTom International BV, Waymo LLC, Woven Planet Holdings, Inc., and Zenrin Co., Ltd.
Key Benefits For Stakeholders
By Service Type
By Vehicle Type
By Usage Type
By Solution
By Level of Automation
By Region