Global HD Map for Autonomous Driving Market Research Report, Competitive, Technology and Forecast Analysis 2025-2032
Description
Market Overview
According to DIResearch＇s in-depth investigation and research, the global HD Map for Autonomous Driving market size will reach 4,576.55 Million USD in 2025 and is projected to reach 62,544.38 Million USD by 2032, with a CAGR of 45.29% (2025-2032). Notably, the China HD Map for Autonomous Driving market has changed rapidly in the past few years. By 2025, China＇s market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
A High-Definition (HD) map for autonomous driving is a detailed and precision-mapped digital representation of the road environment, specifically designed to support the navigation and decision-making processes of autonomous vehicles. These maps provide intricate information about road geometry, lane boundaries, traffic signs, signals, and other relevant features with a level of detail that exceeds traditional navigation maps. Created using data from various sources, including high-resolution satellite imagery, LiDAR scans, and other sensor inputs, HD maps serve as a crucial reference for autonomous vehicles to understand and navigate their surroundings accurately. The maps play a key role in real-time localization, allowing autonomous vehicles to precisely determine their position on the road. Additionally, HD maps assist in path planning and decision-making by providing information about upcoming road conditions and potential obstacles. Regular updates are essential to keep these maps current, reflecting changes in the road infrastructure and ensuring the safety and efficiency of autonomous driving systems.
The major global suppliers of HD Map for Autonomous Driving include Here, TomTom, Google, Alibaba (AutoNavi), Navinfo, Baidu, Mobieye, Dynamic Map Platform (DMP), NVIDIA, Sanborn, etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of HD Map for Autonomous Driving. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major suppliers, as well as the market status and trends of different product types and applications in the global HD Map for Autonomous Driving market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the HD Map for Autonomous Driving market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of HD Map for Autonomous Driving industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Suppliers of HD Map for Autonomous Driving Include:
Here
TomTom
Google
Alibaba (AutoNavi)
Navinfo
Baidu
Mobieye
Dynamic Map Platform (DMP)
NVIDIA
Sanborn
HD Map for Autonomous Driving Product Segment Include:
Crowdsourcing Model
Centralized Mode
HD Map for Autonomous Driving Product Application Include:
L1/L2+ Driving Automation
L3 Driving Automation
Others
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global HD Map for Autonomous Driving Industry PESTEL Analysis
Chapter 3: Global HD Map for Autonomous Driving Industry Porter's Five Forces Analysis
Chapter 4: Global HD Map for Autonomous Driving Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global HD Map for Autonomous Driving Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global HD Map for Autonomous Driving Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, HD Map for Autonomous Driving Different Application Market Analysis (Revenue and Forecast) and Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
According to DIResearch＇s in-depth investigation and research, the global HD Map for Autonomous Driving market size will reach 4,576.55 Million USD in 2025 and is projected to reach 62,544.38 Million USD by 2032, with a CAGR of 45.29% (2025-2032). Notably, the China HD Map for Autonomous Driving market has changed rapidly in the past few years. By 2025, China＇s market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
A High-Definition (HD) map for autonomous driving is a detailed and precision-mapped digital representation of the road environment, specifically designed to support the navigation and decision-making processes of autonomous vehicles. These maps provide intricate information about road geometry, lane boundaries, traffic signs, signals, and other relevant features with a level of detail that exceeds traditional navigation maps. Created using data from various sources, including high-resolution satellite imagery, LiDAR scans, and other sensor inputs, HD maps serve as a crucial reference for autonomous vehicles to understand and navigate their surroundings accurately. The maps play a key role in real-time localization, allowing autonomous vehicles to precisely determine their position on the road. Additionally, HD maps assist in path planning and decision-making by providing information about upcoming road conditions and potential obstacles. Regular updates are essential to keep these maps current, reflecting changes in the road infrastructure and ensuring the safety and efficiency of autonomous driving systems.
The major global suppliers of HD Map for Autonomous Driving include Here, TomTom, Google, Alibaba (AutoNavi), Navinfo, Baidu, Mobieye, Dynamic Map Platform (DMP), NVIDIA, Sanborn, etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of HD Map for Autonomous Driving. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major suppliers, as well as the market status and trends of different product types and applications in the global HD Map for Autonomous Driving market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the HD Map for Autonomous Driving market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of HD Map for Autonomous Driving industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Suppliers of HD Map for Autonomous Driving Include:
Here
TomTom
Alibaba (AutoNavi)
Navinfo
Baidu
Mobieye
Dynamic Map Platform (DMP)
NVIDIA
Sanborn
HD Map for Autonomous Driving Product Segment Include:
Crowdsourcing Model
Centralized Mode
HD Map for Autonomous Driving Product Application Include:
L1/L2+ Driving Automation
L3 Driving Automation
Others
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global HD Map for Autonomous Driving Industry PESTEL Analysis
Chapter 3: Global HD Map for Autonomous Driving Industry Porter's Five Forces Analysis
Chapter 4: Global HD Map for Autonomous Driving Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global HD Map for Autonomous Driving Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global HD Map for Autonomous Driving Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, HD Map for Autonomous Driving Different Application Market Analysis (Revenue and Forecast) and Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
Table of Contents
165 Pages
- 1 HD Map for Autonomous Driving Market Overview
- 1.1 Product Definition and Statistical Scope
- 1.2 HD Map for Autonomous Driving Product by Type
- 1.2.1 Crowdsourcing Model
- 1.2.2 Centralized Mode
- 1.3 HD Map for Autonomous Driving Product by Application
- 1.3.1 L1/L2+ Driving Automation
- 1.3.2 L3 Driving Automation
- 1.3.3 Others
- 1.4 Global HD Map for Autonomous Driving Market Size Analysis (2020-2032)
- 1.5 HD Map for Autonomous Driving Market Development Status and Trends
- 1.5.1 HD Map for Autonomous Driving Industry Development Status Analysis
- 1.5.2 HD Map for Autonomous Driving Industry Development Trends Analysis
- 2 HD Map for Autonomous Driving Market PESTEL Analysis
- 2.1 Political Factors Analysis
- 2.2 Economic Factors Analysis
- 2.3 Social Factors Analysis
- 2.4 Technological Factors Analysis
- 2.5 Environmental Factors Analysis
- 2.6 Legal Factors Analysis
- 3 HD Map for Autonomous Driving Market Porter's Five Forces Analysis
- 3.1 Competitive Rivalry
- 3.2 Threat of New Entrants
- 3.3 Bargaining Power of Suppliers
- 3.4 Bargaining Power of Buyers
- 3.5 Threat of Substitutes
- 4 Global HD Map for Autonomous Driving Market Analysis by Country
- 4.1 Global HD Map for Autonomous Driving Market Size Analysis by Country: 2024 VS 2025 VS 2032
- 4.1.1 Global HD Map for Autonomous Driving Revenue Analysis by Country (2020-2025)
- 4.1.2 Global HD Map for Autonomous Driving Revenue Forecast Analysis by Country (2026-2032)
- 4.2 United States HD Map for Autonomous Driving Market Revenue and Growth Rate (2020-2032)
- 4.3 Germany HD Map for Autonomous Driving Market Revenue and Growth Rate (2020-2032)
- 4.4 Japan HD Map for Autonomous Driving Market Revenue and Growth Rate (2020-2032)
- 4.5 China HD Map for Autonomous Driving Market Revenue and Growth Rate (2020-2032)
- 4.6 France HD Map for Autonomous Driving Market Revenue and Growth Rate (2020-2032)
- 4.7 U.K. HD Map for Autonomous Driving Market Revenue and Growth Rate (2020-2032)
- 4.8 South Korea HD Map for Autonomous Driving Market Revenue and Growth Rate (2020-2032)
- 4.9 Canada HD Map for Autonomous Driving Market Revenue and Growth Rate (2020-2032)
- 4.10 Italy HD Map for Autonomous Driving Market Revenue and Growth Rate (2020-2032)
- 4.11 Russia HD Map for Autonomous Driving Market Revenue and Growth Rate (2020-2032)
- 4.12 Mexico HD Map for Autonomous Driving Market Revenue and Growth Rate (2020-2032)
- 4.13 Brazil HD Map for Autonomous Driving Market Revenue and Growth Rate (2020-2032)
- 4.14 India HD Map for Autonomous Driving Market Revenue and Growth Rate (2020-2032)
- 4.15 Vietnam HD Map for Autonomous Driving Market Revenue and Growth Rate (2020-2032)
- 4.16 Thailand HD Map for Autonomous Driving Market Revenue and Growth Rate (2020-2032)
- 4.17 South Africa HD Map for Autonomous Driving Market Revenue and Growth Rate (2020-2032)
- 5 Competition by Suppliers
- 5.1 Global HD Map for Autonomous Driving Market Revenue by Key Suppliers (2021-2025)
- 5.2 HD Map for Autonomous Driving Competitive Landscape Analysis and Market Dynamic
- 5.2.1 HD Map for Autonomous Driving Competitive Landscape Analysis
- 5.2.2 Global Key Suppliers Headquarter and Key Area Sales
- 5.2.3 Market Dynamic
- 6 HD Map for Autonomous Driving Market Analysis by Type
- 6.1 Global HD Map for Autonomous Driving Market Size Analysis by Type: 2024 VS 2025 VS 2032
- 6.2 Global HD Map for Autonomous Driving Revenue and Forecast Analysis by Type (2020-2032)
- 7 Key Companies Analysis
- 7.1 Here
- 7.1.1 Here Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.1.2 Here HD Map for Autonomous Driving Product Portfolio
- 7.1.3 Here HD Map for Autonomous Driving Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.2 TomTom
- 7.2.1 TomTom Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.2.2 TomTom HD Map for Autonomous Driving Product Portfolio
- 7.2.3 TomTom HD Map for Autonomous Driving Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.3 Google
- 7.3.1 Google Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.3.2 Google HD Map for Autonomous Driving Product Portfolio
- 7.3.3 Google HD Map for Autonomous Driving Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.4 Alibaba (AutoNavi)
- 7.4.1 Alibaba (AutoNavi) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.4.2 Alibaba (AutoNavi) HD Map for Autonomous Driving Product Portfolio
- 7.4.3 Alibaba (AutoNavi) HD Map for Autonomous Driving Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.5 Navinfo
- 7.5.1 Navinfo Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.5.2 Navinfo HD Map for Autonomous Driving Product Portfolio
- 7.5.3 Navinfo HD Map for Autonomous Driving Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.6 Baidu
- 7.6.1 Baidu Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.6.2 Baidu HD Map for Autonomous Driving Product Portfolio
- 7.6.3 Baidu HD Map for Autonomous Driving Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.7 Mobieye
- 7.7.1 Mobieye Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.7.2 Mobieye HD Map for Autonomous Driving Product Portfolio
- 7.7.3 Mobieye HD Map for Autonomous Driving Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.8 Dynamic Map Platform (DMP)
- 7.8.1 Dynamic Map Platform (DMP) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.8.2 Dynamic Map Platform (DMP) HD Map for Autonomous Driving Product Portfolio
- 7.8.3 Dynamic Map Platform (DMP) HD Map for Autonomous Driving Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.9 NVIDIA
- 7.9.1 NVIDIA Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.9.2 NVIDIA HD Map for Autonomous Driving Product Portfolio
- 7.9.3 NVIDIA HD Map for Autonomous Driving Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.10 Sanborn
- 7.10.1 Sanborn Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.10.2 Sanborn HD Map for Autonomous Driving Product Portfolio
- 7.10.3 Sanborn HD Map for Autonomous Driving Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 8 Industry Chain Analysis
- 8.1 HD Map for Autonomous Driving Industry Chain Analysis
- 8.2 HD Map for Autonomous Driving Product Downstream Application Analysis
- 8.2.1 Global HD Map for Autonomous Driving Market Size and Growth Rate (CAGR) by Application: 2024 VS 2025 VS 2032
- 8.2.2 Global HD Map for Autonomous Driving Revenue and Forecast by Application (2020-2032)
- 8.3 HD Map for Autonomous Driving Typical Downstream Customers
- 8.4 HD Map for Autonomous Driving Sales Channel Analysis
- 9 Research Findings and Conclusion
- 10 Methodology and Data Source
- 10.1 Methodology/Research Approach
- 10.2 Research Scope
- 10.3 Benchmarks and Assumptions
- 10.4 Date Source
- 10.4.1 Primary Sources
- 10.4.2 Secondary Sources
- 10.5 Data Cross Validation
- 10.6 Disclaimer
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