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Global HD Map for Autonomous Driving Market Growth (Status and Outlook) 2023-2029

A high-definition map (HD map) is a highly accurate map used in autonomous driving, containing details not normally present on traditional maps. HD maps contain information about the exact positions of pedestrian crossings, traffic lights/signs, barriers and more. This is necessary for autonomous driving. The HD Map for Autonomous Driving market covers Crowdsourcing Model and Centralized Mode. The typical players include Here, TomTom, Google, Alibaba (AutoNavi), Navinfo, Mobieye, Baidu, Dynamic Map Platform (DMP), NVIDIA, Sanborn,etc. LPI (LP Information)' newest research report, the モHD Map for Autonomous Driving Industry Forecastヤ looks at past sales and reviews total world HD Map for Autonomous Driving sales in 2022, providing a comprehensive analysis by region and market sector of projected HD Map for Autonomous Driving sales for 2023 through 2029. With HD Map for Autonomous Driving sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world HD Map for Autonomous Driving industry. This Insight Report provides a comprehensive analysis of the global HD Map for Autonomous Driving landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on HD Map for Autonomous Driving portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firmsメ unique position in an accelerating global HD Map for Autonomous Driving market. This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for HD Map for Autonomous Driving and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global HD Map for Autonomous Driving. The global HD Map for Autonomous Driving market size is projected to grow from US$ 1316.4 million in 2022 to US$ 25590 million in 2029; it is expected to grow at a CAGR of 52.8% from 2023 to 2029. Global key players of HD map for autonomous driving include Here, TomTom, Google, Alibaba (AutoNavi), etc. Global top five manufacturers hold a share over 80%. In terms of product, crowdsourcing model is the largest segment, with a share over 72%. And in terms of application, the largest application is L1/L2+ driving automation, with a share over 99%. This report presents a comprehensive overview, market shares, and growth opportunities of HD Map for Autonomous Driving market by product type, application, key players and key regions and countries. Market Segmentation: Segmentation by type Crowdsourcing Model Centralized Mode Segmentation by application L1/L2+ Driving Automation L3 Driving Automation Others This report also splits the market by region: Americas United States Canada Mexico Brazil APAC China Japan Korea Southeast Asia India Australia Europe Germany France UK Italy Russia Middle East & Africa Egypt South Africa Israel Turkey GCC Countries The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration. Here TomTom Google Alibaba (AutoNavi) Navinfo Mobieye Baidu Dynamic Map Platform (DMP) NVIDIA Sanborn
1 Scope of the Report 1.1 Market Introduction 1.2 Years Considered 1.3 Research Objectives 1.4 Market Research Methodology 1.5 Research Process and Data Source 1.6 Economic Indicators 1.7 Currency Considered 1.8 Market Estimation Caveats 2 Executive Summary 2.1 World Market Overview 2.1.1 Global HD Map for Autonomous Driving Market Size 2018-2029
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About this Report
Report ID 943517
Category
  • Automotive
Published on 11-Jan
Number of Pages 101
Publisher Name LP Information
Editor Rating
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