The high definition (hd) map for autonomous vehicle global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.
High Definition (HD) Map For Autonomous Vehicle Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.
Market Size –
The HD map for autonomous vehicle market size has grown strongly in recent years. It will grow from $1.40 billion in 2023 to $1.49 billion in 2024 at a compound annual growth rate (CAGR) of 6.1%. The growth in the historic period can be attributed to increased demand for autonomous vehicles, increased emphasis on safety and accuracy, improvements in mapping and localization algorithms, regulatory support for autonomous driving technology, and rise in consumer acceptance of self-driving technology.
The HD map for autonomous vehicle market size is expected to see strong growth in the next few years. It will grow to $1.92 billion in 2028 at a compound annual growth rate (CAGR) of 6.6%. The growth in the forecast period can be attributed to the adoption of cloud-based mapping solutions, development of real-time updating capabilities for HD maps, increasing focus on cybersecurity for mapping data, focus on environmental sustainability in mapping processes, and demand for high-definition 3D mapping. Major trends in the forecast period include rise of hybrid HD map solutions combining satellite, aerial, and ground data, emergence of standardized formats for HD map data exchange, development of HD maps for specialized environments like construction sites and industrial facilities, focus on energy efficiency and sustainability in map data collection methods, evolution of HD maps to support Level 4 and Level 5 autonomous driving capabilities.
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Scope Of High Definition (HD) Map For Autonomous Vehicle Market
The Business Research Company’s reports encompass a wide range of information, including:
1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.
2. Drivers: Examination of the key factors propelling market growth.
3. Trends: Identification of emerging trends and patterns shaping the market landscape.
4. Key Segments: Breakdown of the market into its primary segments and their respective performance.
5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.
6. Macro Economic Factors: Assessment of broader economic elements impacting the market.
High Definition (HD) Map For Autonomous Vehicle Market Overview
Market Drivers –
Major Driver Impacting Market Growth
Market Trends –
Major companies operating in the HD map for autonomous vehicle market are increasing their focus on developing advanced solutions, such as highly automated mapping technology platforms, to revolutionize how maps are created, updated, and used. Highly automated mapping technology refers to advanced systems and processes that utilize artificial intelligence, machine learning, and sensor data to autonomously generate and update detailed maps with minimal human intervention, typically for applications in autonomous vehicles, urban planning, and infrastructure management. For instance, in January 2023, HERE Technologies, a Netherlands-based location data and technology company, launched UniMap, a highly automated mapping technology that enables the rapid creation of digital maps and location products. This platform offers highly automated mapping capabilities for the HD map for the autonomous vehicle market, utilizing artificial intelligence (AI) models to process massive vehicle sensor data and provide up-to-date map features like road signs and speed limits. HERE’s rapid mapping and updating abilities meet the crucial demand for precise high-definition (HD) maps, facilitating the safe and effective operation of autonomous vehicles and establishing HERE as a frontrunner in fostering the expansion of the autonomous vehicle market.
The high definition (HD) map for autonomous vehicle market covered in this report is segmented –
1) By Component: Hardware, Software, Services
2) By Vehicle Type: Passenger Vehicle, Commercial Vehicle
3) By Level Of Automation: Semi-Autonomous, Fully Autonomous
4) By Application: Mapping, Localization
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Regional Insights –
North America was the largest region in the HD map for autonomous vehicle market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the high definition (HD) map for autonomous vehicle market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Key Companies –
Major companies operating in the high definition (HD) map for autonomous vehicle market are Google LLC (Alphabet Inc.), Aurora Innovation, Intel Corporation, Uber Technologies Inc., NVIDIA Corporation, Baidu Inc., Mobileye, Esri, HERE Technologies, Electrobit, TomTom International BV, Waymo LLC (Alphabet Inc.), Navinfo Co. Ltd, Zenrin Co. Ltd., Intellias, Motional Inc., Argo AI, Mapbox, Cruise LLC, RMSI, MapmyIndia, Mapscape BV, Carmera Inc., DeepMap Inc., Oxbotica, The Sanborn Map Company Inc., Dynamic Map Platform Co. Ltd., Mapper.ai, Mapillary from Meta, Voxelmaps
Table of Contents
1. Executive Summary
2. High Definition (HD) Map For Autonomous Vehicle Market Report Structure
3. High Definition (HD) Map For Autonomous Vehicle Market Trends And Strategies
4. High Definition (HD) Map For Autonomous Vehicle Market – Macro Economic Scenario
5. High Definition (HD) Map For Autonomous Vehicle Market Size And Growth
…..
27. High Definition (HD) Map For Autonomous Vehicle Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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