Summary

The global Automotive Dynamic Map Data market is projected to grow from US$ 1184 million in 2025 to US$ 6552 million by 2031, at a Compound Annual Growth Rate (CAGR) of 33.0% during the forecast period.

Automotive dynamic map data is a type of navigational electronic map that provides a basis for intelligent connected vehicles. With a centimeter-level accuracy, it encompasses both static information such as roads, lanes, and road ancillary facilities, as well as dynamic information like real-time traffic conditions and traffic events. Characterized by high precision, high freshness, and high richness, it is constructed based on the dynamic data from vehicles, roads, and the "cloud", meeting the dynamic data requirements of the technological and industrial chains of intelligent connected vehicles. It supports the real-time update of maps for vehicles and roadside equipment while ensuring the secure transmission, storage, processing, and push of map data.

The US & Canada market for Automotive Dynamic Map Data is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The China market for Automotive Dynamic Map Data is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The Europe market for Automotive Dynamic Map Data is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

The global key manufacturers of Automotive Dynamic Map Data include Here Technologies, TomTom, Google, Mireo, KDAB, Mapbox, Dynamic Map Platform, Zenrin, Naver, MapmyIndia, etc. In 2024, the global top five players had a share approximately % in terms of revenue.
In terms of production side, this report researches the Automotive Dynamic Map Data production, growth rate, market share by manufacturers and by region (region level and country level), from 2020 to 2025, and forecast to 2031.
In terms of consumption side, this report focuses on the sales of Automotive Dynamic Map Data by region (region level and country level), by company, by Type and by Application. from 2020 to 2025 and forecast to 2031.

This report presents an overview of global market for Automotive Dynamic Map Data, capacity, output, revenue and price. Analyses of the global market trends, with historic market revenue/sales data for 2020 - 2025, estimates for 2025, and projections of CAGR through 2031.
This report researches the key producers of Automotive Dynamic Map Data, also provides the consumption of main regions and countries. Highlights of the upcoming market potential for Automotive Dynamic Map Data, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.

This report focuses on the Automotive Dynamic Map Data sales, revenue, market share and industry ranking of main manufacturers, data from 2020 to 2025. Identification of the major stakeholders in the global Automotive Dynamic Map Data market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, sales, revenue, and price, from 2020 to 2031. Evaluation and forecast the market size for Automotive Dynamic Map Data sales, projected growth trends, production technology, application and end-user industry.
Descriptive company profiles of the major global players, including Here Technologies, TomTom, Google, Mireo, KDAB, Mapbox, Dynamic Map Platform, Zenrin, Naver, MapmyIndia, etc.

Market Segmentation
By Company
Here Technologies
TomTom
Google
Mireo
KDAB
Mapbox
Dynamic Map Platform
Zenrin
Naver
MapmyIndia
Trimble Maps
ERSI
Beijing NavInfo
Guoqi Zhitu (Beijing) Technology
Zhejiang Langge Technology (Geely)
Shenzhen Careland
Segment by Type
Crowdsourcing Model
Centralized Mapping Model
Segment by Application
ADAS
ADS
Production by Region
North America
Europe
China
Japan
Southeast Asia
India
South America
Middle East
Sales by Region
US & Canada
U.S.
Canada
China
Asia (excluding China)
Japan
South Korea
China Taiwan
Southeast Asia
Europe
Germany
France
U.K.
Italy
Russia
Middle East, Africa, Latin America
Brazil
Mexico
Turkey
Israel

Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type and by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Automotive Dynamic Map Data production/output of global and key producers (regions/countries). It provides a quantitative analysis of the production, and development potential of each producer in the next six years.
Chapter 3: Sales (consumption), revenue of Automotive Dynamic Map Data in global, regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 4: Detailed analysis of Automotive Dynamic Map Data manufacturers competitive landscape, price, sales, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by Type, covering the sales, revenue, average price, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by Application, covering the sales, revenue, average price, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: North America (US & Canada) by Type, by Application and by country, sales, and revenue for each segment.
Chapter 8: Europe by Type, by Application and by country, sales, and revenue for each segment.
Chapter 9: China by Type, and by Application, sales, and revenue for each segment.
Chapter 10: Asia (excluding China) by Type, by Application and by region, sales, and revenue for each segment.
Chapter 11: Middle East, Africa, Latin America by Type, by Application and by country, sales, and revenue for each segment.
Chapter 12: Provides profiles of key manufacturers, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Automotive Dynamic Map Data sales, revenue, price, gross margin, and recent development, etc.
Chapter 13: Analysis of industrial chain, sales channel, key raw materials, distributors and customers.
Chapter 14: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 15: The main points and conclusions of the report.

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Table of Contents

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Automotive Dynamic Map Data Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Crowdsourcing Model
1.2.3 Centralized Mapping Model
1.3 Market by Application
1.3.1 Global Automotive Dynamic Map Data Market Share by Application: 2020 VS 2024 VS 2031
1.3.2 ADAS
1.3.3 ADS
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Automotive Dynamic Map Data Market Perspective (2020-2031)
2.2 Global Automotive Dynamic Map Data Growth Trends by Region
2.2.1 Global Automotive Dynamic Map Data Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 Automotive Dynamic Map Data Market Size by Region (2020-2031)
2.3 Automotive Dynamic Map Data Market Dynamics
2.3.1 Automotive Dynamic Map Data Industry Trends
2.3.2 Automotive Dynamic Map Data Market Drivers
2.3.3 Automotive Dynamic Map Data Market Challenges
2.3.4 Automotive Dynamic Map Data Market Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Automotive Dynamic Map Data by Players
3.1.1 Global Automotive Dynamic Map Data Revenue by Players (2020-2025)
3.1.2 Global Automotive Dynamic Map Data Revenue Market Share by Players (2020-2025)
3.2 Global Automotive Dynamic Map Data Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Automotive Dynamic Map Data, Ranking by Revenue, 2023 VS 2024 VS 2025
3.4 Global Market Concentration Ratio
3.4.1 Global Automotive Dynamic Map Data Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Automotive Dynamic Map Data Revenue in 2024
3.5 Global Key Players of Automotive Dynamic Map Data Head office and Area Served
3.6 Global Key Players of Automotive Dynamic Map Data, Product and Application
3.7 Global Key Players of Automotive Dynamic Map Data, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Breakdown Data by Type
4.1 Global Automotive Dynamic Map Data Historic Market Size by Type (2020-2025)
4.2 Global Automotive Dynamic Map Data Forecasted Market Size by Type (2026-2031)
5 Breakdown Data by Application
5.1 Global Automotive Dynamic Map Data Historic Market Size by Application (2020-2025)
5.2 Global Automotive Dynamic Map Data Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America Automotive Dynamic Map Data Market Size (2020-2031)
6.2 North America Market Size by Type
6.2.1 North America Automotive Dynamic Map Data Market Size by Type (2020-2031)
6.2.2 North America Automotive Dynamic Map Data Market Share by Type (2020-2031)
6.3 North America Market Size by Application
6.3.1 North America Automotive Dynamic Map Data Market Size by Application (2020-2031)
6.3.2 North America Automotive Dynamic Map Data Market Share by Application (2020-2031)
6.4 North America Market Size by Country
6.4.1 North America Automotive Dynamic Map Data Market Size by Country: 2020 VS 2024 VS 2031
6.4.2 North America Automotive Dynamic Map Data Market Size by Country (2020-2031)
6.4.3 United States
6.4.4 Canada
7 Europe
7.1 Europe Automotive Dynamic Map Data Market Size (2020-2031)
7.2 Europe Market Size by Type
7.2.1 Europe Automotive Dynamic Map Data Market Size by Type (2020-2031)
7.2.2 Europe Automotive Dynamic Map Data Market Share by Type (2020-2031)
7.3 Europe Market Size by Application
7.3.1 Europe Automotive Dynamic Map Data Market Size by Application (2020-2031)
7.3.2 Europe Automotive Dynamic Map Data Market Share by Application (2020-2031)
7.4 Europe Market Size by Country
7.4.1 Europe Automotive Dynamic Map Data Market Size by Country: 2020 VS 2024 VS 2031
7.4.2 Europe Automotive Dynamic Map Data Market Size by Country (2020-2025)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Automotive Dynamic Map Data Market Size (2020-2031)
8.2 China Market Size by Type
8.2.1 China Automotive Dynamic Map Data Market Size by Type (2020-2031)
8.2.2 China Automotive Dynamic Map Data Market Share by Type (2020-2031)
8.3 China Market Size by Application
8.3.1 China Automotive Dynamic Map Data Market Size by Application (2020-2031)
8.3.2 China Automotive Dynamic Map Data Market Share by Application (2020-2031)
9 Asia (excluding China)
9.1 Asia Automotive Dynamic Map Data Market Size (2020-2031)
9.2 Asia Market Size by Type
9.2.1 Asia Automotive Dynamic Map Data Market Size by Type (2020-2031)
9.2.2 Asia Automotive Dynamic Map Data Market Share by Type (2020-2031)
9.3 Asia Market Size by Application
9.3.1 Asia Automotive Dynamic Map Data Market Size by Application (2020-2031)
9.3.2 Asia Automotive Dynamic Map Data Market Share by Application (2020-2031)
9.4 Asia Market Size by Region
9.4.1 Asia Automotive Dynamic Map Data Market Size by Region: 2020 VS 2024 VS 2031
9.4.2 Asia Automotive Dynamic Map Data Market Size by Region (2020-2031)
9.4.3 Japan
9.4.4 South Korea
9.4.5 China Taiwan
9.4.6 Southeast Asia
9.4.7 India
9.4.8 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Automotive Dynamic Map Data Market Size (2020-2031)
10.2 Middle East, Africa, and Latin America Market Size by Type
10.2.1 Middle East, Africa, and Latin America Automotive Dynamic Map Data Market Size by Type (2020-2031)
10.2.2 Middle East, Africa, and Latin America Automotive Dynamic Map Data Market Share by Type (2020-2031)
10.3 Middle East, Africa, and Latin America Market Size by Application
10.3.1 Middle East, Africa, and Latin America Automotive Dynamic Map Data Market Size by Application (2020-2031)
10.3.2 Middle East, Africa, and Latin America Market Share by Application (2020-2031)
10.4 Middle East, Africa, and Latin America Market Size by Country
10.4.1 Middle East, Africa, and Latin America Automotive Dynamic Map Data Market Size by Country: 2020 VS 2024 VS 2031
10.4.2 Middle East, Africa, and Latin America Automotive Dynamic Map Data Market Size by Country (2020-2031)
10.4.3 Brazil
10.4.4 Mexico
10.4.5 Turkey
10.4.6 Saudi Arabia
10.4.7 Israel
10.4.8 GCC Countries
11 Key Players Profiles
11.1 Here Technologies
11.1.1 Here Technologies Company Details
11.1.2 Here Technologies Business Overview
11.1.3 Here Technologies Automotive Dynamic Map Data Introduction
11.1.4 Here Technologies Revenue in Automotive Dynamic Map Data Business (2020-2025)
11.1.5 Here Technologies Recent Development
11.2 TomTom
11.2.1 TomTom Company Details
11.2.2 TomTom Business Overview
11.2.3 TomTom Automotive Dynamic Map Data Introduction
11.2.4 TomTom Revenue in Automotive Dynamic Map Data Business (2020-2025)
11.2.5 TomTom Recent Development
11.3 Google
11.3.1 Google Company Details
11.3.2 Google Business Overview
11.3.3 Google Automotive Dynamic Map Data Introduction
11.3.4 Google Revenue in Automotive Dynamic Map Data Business (2020-2025)
11.3.5 Google Recent Development
11.4 Mireo
11.4.1 Mireo Company Details
11.4.2 Mireo Business Overview
11.4.3 Mireo Automotive Dynamic Map Data Introduction
11.4.4 Mireo Revenue in Automotive Dynamic Map Data Business (2020-2025)
11.4.5 Mireo Recent Development
11.5 KDAB
11.5.1 KDAB Company Details
11.5.2 KDAB Business Overview
11.5.3 KDAB Automotive Dynamic Map Data Introduction
11.5.4 KDAB Revenue in Automotive Dynamic Map Data Business (2020-2025)
11.5.5 KDAB Recent Development
11.6 Mapbox
11.6.1 Mapbox Company Details
11.6.2 Mapbox Business Overview
11.6.3 Mapbox Automotive Dynamic Map Data Introduction
11.6.4 Mapbox Revenue in Automotive Dynamic Map Data Business (2020-2025)
11.6.5 Mapbox Recent Development
11.7 Dynamic Map Platform
11.7.1 Dynamic Map Platform Company Details
11.7.2 Dynamic Map Platform Business Overview
11.7.3 Dynamic Map Platform Automotive Dynamic Map Data Introduction
11.7.4 Dynamic Map Platform Revenue in Automotive Dynamic Map Data Business (2020-2025)
11.7.5 Dynamic Map Platform Recent Development
11.8 Zenrin
11.8.1 Zenrin Company Details
11.8.2 Zenrin Business Overview
11.8.3 Zenrin Automotive Dynamic Map Data Introduction
11.8.4 Zenrin Revenue in Automotive Dynamic Map Data Business (2020-2025)
11.8.5 Zenrin Recent Development
11.9 Naver
11.9.1 Naver Company Details
11.9.2 Naver Business Overview
11.9.3 Naver Automotive Dynamic Map Data Introduction
11.9.4 Naver Revenue in Automotive Dynamic Map Data Business (2020-2025)
11.9.5 Naver Recent Development
11.10 MapmyIndia
11.10.1 MapmyIndia Company Details
11.10.2 MapmyIndia Business Overview
11.10.3 MapmyIndia Automotive Dynamic Map Data Introduction
11.10.4 MapmyIndia Revenue in Automotive Dynamic Map Data Business (2020-2025)
11.10.5 MapmyIndia Recent Development
11.11 Trimble Maps
11.11.1 Trimble Maps Company Details
11.11.2 Trimble Maps Business Overview
11.11.3 Trimble Maps Automotive Dynamic Map Data Introduction
11.11.4 Trimble Maps Revenue in Automotive Dynamic Map Data Business (2020-2025)
11.11.5 Trimble Maps Recent Development
11.12 ERSI
11.12.1 ERSI Company Details
11.12.2 ERSI Business Overview
11.12.3 ERSI Automotive Dynamic Map Data Introduction
11.12.4 ERSI Revenue in Automotive Dynamic Map Data Business (2020-2025)
11.12.5 ERSI Recent Development
11.13 Beijing NavInfo
11.13.1 Beijing NavInfo Company Details
11.13.2 Beijing NavInfo Business Overview
11.13.3 Beijing NavInfo Automotive Dynamic Map Data Introduction
11.13.4 Beijing NavInfo Revenue in Automotive Dynamic Map Data Business (2020-2025)
11.13.5 Beijing NavInfo Recent Development
11.14 Guoqi Zhitu (Beijing) Technology
11.14.1 Guoqi Zhitu (Beijing) Technology Company Details
11.14.2 Guoqi Zhitu (Beijing) Technology Business Overview
11.14.3 Guoqi Zhitu (Beijing) Technology Automotive Dynamic Map Data Introduction
11.14.4 Guoqi Zhitu (Beijing) Technology Revenue in Automotive Dynamic Map Data Business (2020-2025)
11.14.5 Guoqi Zhitu (Beijing) Technology Recent Development
11.15 Zhejiang Langge Technology (Geely)
11.15.1 Zhejiang Langge Technology (Geely) Company Details
11.15.2 Zhejiang Langge Technology (Geely) Business Overview
11.15.3 Zhejiang Langge Technology (Geely) Automotive Dynamic Map Data Introduction
11.15.4 Zhejiang Langge Technology (Geely) Revenue in Automotive Dynamic Map Data Business (2020-2025)
11.15.5 Zhejiang Langge Technology (Geely) Recent Development
11.16 Shenzhen Careland
11.16.1 Shenzhen Careland Company Details
11.16.2 Shenzhen Careland Business Overview
11.16.3 Shenzhen Careland Automotive Dynamic Map Data Introduction
11.16.4 Shenzhen Careland Revenue in Automotive Dynamic Map Data Business (2020-2025)
11.16.5 Shenzhen Careland Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer