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High-Definition Map Data - Global Market Share and Ranking, Overall Sales and Demand Forecast 2026-2032

Industry: Service & Software

Published Date: 2026-08-01

Pages: 128 Pages

Report ld: 6984033

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biaoTi KEY FINDINGS

Highways and expressways remain the principal commercial deployment environment

High-Definition Map Data Market Size(US$)

CAGR 2026-2032

15.1%

Market Size,2032

USD 3,046

Million

Market Snapshot

Market Size in 2026 (Value)

US$ 1,310 million

Market Forecast in 2032(Value)

US$ 3,046 million

CAGR

15.1%

Years Considered

2021-2032

Base Year

2026

Forecast Period

2026-2032

Source: Secondary research, interviews with experts, and QYResearch analysis

The global market for High-Definition Map Data was estimated to be worth US$ 1120 million in 2025 and is projected to reach US$ 3046 million, growing at a CAGR of 15.1% from 2026 to 2032.

High-Definition Map Data refers to precise, lane-level and machine-readable geospatial content developed and continuously maintained for advanced driver-assistance and automated-driving systems. Core data includes lane centerlines, lane boundaries, lane topology, road edges, curvature, gradient and elevation, together with traffic signs, traffic lights, stop lines, guardrails, curbs, poles and other road semantics or localization features. Products are delivered through embedded databases, cloud-based map tiles, path-level data streams, incremental over-the-air updates or hybrid onboard-cloud architectures. This market primarily covers HD map data used by advanced Level 2 driver-assistance systems, Level 3 automated-driving systems and Level 4 automated-driving systems for high-precision localization, lane-level path planning, operational design domain recognition, driving-decision support and safety redundancy. Product value is determined by map accuracy, semantic richness, coverage, freshness, localization reliability, vehicle-platform compatibility and the ability to update road changes efficiently.

biaoTi MARKET TRENDS

High-Definition Map Data is moving away from infrequently updated, survey-only databases toward scalable lane models produced through artificial intelligence, vehicle crowdsourcing and hybrid data pipelines. Commercial products increasingly combine lane geometry, connectivity, markings, road semantics and localization features within a shared map architecture that can support navigation, advanced driver assistance and automated driving. TomTom’s Orbis Lane Model Maps illustrate the move toward AI-produced lane-level coverage across broader road networks, while Mobileye REM uses production vehicles as mapping agents to detect changes and refresh semantic road information. The industry is also adopting modular cloud delivery and incremental updates rather than repeatedly distributing complete regional databases. As a result, product differentiation is shifting from absolute positioning accuracy alone toward update efficiency, lane-level completeness, semantic consistency and vehicle-scale deployment.

MARKET SEGMENTATION

By Company

HERE Technologies
TomTom N.V.
Mapbox, Inc.
Mobileye Global Inc.
ZENRIN Co., Ltd.
TOYOTA MAPMASTER INCORPORATED
GeoTechnologies, Inc.
Hyundai AutoEver Corporation
Dynamic Map Platform Co., Ltd.
CE Info Systems Limited (Mappls & MapmyIndia)
AutoNavi Software Co., Ltd.
Beijing Baidu Netcom Science Technology Co., Ltd.
NavInfo Co., Ltd.
Tencent Holdings Limited (Tencent Maps)
eMapgo Technologies (Beijing) Co., Ltd.
Hangzhou Langge Technology Co., Ltd.
CICV Data Co., Ltd.
Hebei Quandao Technology Co., Ltd.
BrightMap

Consumption by Region

North America
- United States
- Canada
Asia-Pacific
- China
- Japan
- South Korea
- Southeast Asia
- India
- Australia
- Rest of Asia-Pacific
Europe
- Germany
- France
- U.K.
- Italy
- Netherlands
- Nordic Countries
- Rest of Europe
Latin America
- Mexico
- Brazil
- Rest of Latin America
Middle East & Africa
- Turkey
- Saudi Arabia
- UAE
- Rest of MEA

Segment by Type

Highway and Expressway
Urban Road
Parking and Closed-Site

Segment by Application

Advanced Level 2 Driver Assistance Systems
Level 3 Automated Driving Systems
Level 4 Automated Driving Systems

Segment by Category

Survey-Based
Crowdsourced
Hybrid

Segment by Division

Embedded
Cloud-Based
Hybrid Onboard-Cloud

biaoTi MARKET DYNAMICS

Drivers

Demand is driven by the commercialization of advanced Level 2 hands-free systems, Level 3 automated driving and geographically constrained Level 4 applications. These systems require road information beyond the immediate range of cameras, radar and lidar, particularly for lane transitions, curves, exits, merges, traffic-control structures and operational design domain boundaries. HERE HD Live Map is already used in production Level 3 systems to support localization, prediction and path planning, demonstrating that HD maps have moved beyond testing into selected commercial vehicle platforms. Expansion of connected-vehicle fleets also enables faster change detection and more efficient incremental updates, improving the economic viability of high-freshness map products.

Restraints

High-Definition Map Data requires significant expenditure on professional surveying, sensor-equipped mapping vehicles, point-cloud processing, semantic coding, accuracy verification, cloud infrastructure and long-term maintenance. Dense urban roads, temporary lane configurations and complex intersections are substantially more expensive to map and update than controlled-access highways. Vehicle manufacturers are also developing sensor-led and map-light intelligent-driving architectures, reducing willingness to purchase heavy HD map packages for every road environment. Regulatory and geographic-information requirements create additional barriers, particularly in China, where the collection, storage, processing and transmission of intelligent-vehicle geographic data must be conducted through appropriately qualified entities and approved data processes.

Opportunities

The principal opportunity lies in replacing costly static HD databases with lighter, scalable and continuously refreshed lane-level products. AI-based feature extraction, production-vehicle crowdsourcing and professional baseline surveys can be combined to extend coverage while controlling unit mapping costs. Highway and expressway applications remain the most mature opportunity, while urban intelligent driving creates demand for richer intersection structures, lane connectivity and road semantics. Parking facilities, ports, mines, logistics parks and other closed environments offer additional project-based demand because their operating areas are limited and can be mapped with high consistency. Cloud-based modular data services also allow automakers to purchase only the map layers required for localization, lane planning or operational design domain management.

Challenges

The industry must maintain consistency among lane geometry, localization features, road semantics and dynamic updates generated from different sensors and production processes. Crowdsourced observations can improve freshness but may vary in positioning quality, sensor configuration and environmental conditions, requiring confidence scoring and professional verification. Another challenge is defining the boundary between lane-level navigation maps, ADAS maps and HD maps, as the same geometry may serve several vehicle functions. Suppliers must prevent duplicate revenue allocation while supporting increasingly integrated customer platforms. Commercial uncertainty also remains regarding the level of road coverage OEMs will purchase, particularly as some vehicle manufacturers favor lightweight lane models or perception-first systems instead of full-featured HD databases.

biaoTi VALUE CHAIN ANALYSIS

The upstream value chain includes mapping vehicles, lidar, cameras, GNSS and inertial navigation systems, satellite and aerial imagery, government road information, roadside infrastructure data and observations collected from production vehicles. Professional surveying provides a stable and accurately calibrated map baseline, while vehicle crowdsourcing improves change detection and update frequency. Mobileye REM demonstrates how large numbers of connected production vehicles can act as lightweight mapping agents, while HERE combines multiple sensor and vehicle sources to support continuously refreshed HD content.

Midstream suppliers process point clouds and images, identify road objects, construct lane geometry and topology, encode semantic attributes, validate accuracy and compile the resulting information into automotive map formats. Downstream customers include automakers, Tier 1 suppliers, intelligent-driving software providers, autonomous-mobility operators, parking-system developers and vehicle-road-cloud platforms. Costs are concentrated in data acquisition, automated feature extraction, manual verification, regulatory compliance, cloud updates and vehicle integration. Profitability improves when the same geographic database and production pipeline can be reused across multiple OEMs, models and driving functions.

biaoTi SEGMENT INSIGHTS

By operating environment, highway and expressway HD map data remains the principal commercial segment because controlled-access roads have relatively stable structures, clearly defined lanes and more manageable update requirements. These characteristics support advanced Level 2 hands-free driving and Level 3 automated-driving deployment. Urban-road HD map data requires more detailed representation of complex intersections, lane changes, mixed traffic, temporary restrictions and roadside objects, resulting in higher production and maintenance costs. Parking and closed-site HD map data addresses autonomous valet parking, ports, mines, industrial parks and logistics facilities, where limited geographic scope enables highly detailed mapping. DMP’s commercial coverage and HERE’s production deployments reflect the continuing importance of highway-focused HD map products.

By update method, professional survey-based maps provide high consistency but involve relatively high fixed costs and slower update cycles. Crowdsourced HD maps use cameras and sensors installed in production vehicles to detect road changes and increase coverage efficiency. Hybrid HD maps combine a professionally validated baseline with production-vehicle, roadside and government data, offering a stronger balance among accuracy, freshness and cost. Hybrid update methods are therefore becoming strategically important for large-scale commercial deployment, although customer validation and regional regulatory requirements remain necessary.

biaoTi DOWNSTREAM MARKET OPPORTUNITIES

Advanced Level 2 systems represent the broadest downstream opportunity, particularly for hands-free highway assistance, navigation-assisted driving and lane-level guidance. Level 3 systems require more rigorous map quality because HD map data can support system localization, path prediction, operational design domain verification and safe transition management. Level 4 applications include robotaxis, autonomous buses, unmanned delivery vehicles and driverless transportation in ports, mines and industrial areas. These applications operate within defined environments and can justify denser map content and more frequent updates. Autonomous parking is generally classified according to its actual automation level, while the associated map product is categorized under parking and closed-site HD map data.

biaoTi REGIONAL INSIGHTS

Fastest-Growing Region: Asia Pacific

North America and Europe are major commercialization regions for hands-free highway assistance and Level 3 systems, supported by multinational automotive programs and extensive controlled-access road networks. DMP has expanded its HD map coverage across North America and multiple European countries, while HERE supplies production-grade HD maps for certified automated-driving applications. Japan and South Korea maintain strong domestic automotive-map ecosystems with close integration among map suppliers, automakers and vehicle technology companies.

XX.X
%
CAGR*
XXXX
US$ Million
XXXX
REGIONAL SHARE

BY TYPE,2021-2032(US $ MILLION)

Highway and Expressway

Urban Road

Parking and Closed-Site

BY APPLICATION，2021-2032(US $ MILLION）

Advanced Level 2 Driver Assistance Systems

Level 3 Automated Driving Systems

Level 4 Automated Driving Systems

China has a large intelligent-vehicle development ecosystem and active high-precision-map and vehicle-road-cloud pilot programs, but the market is strongly shaped by mapping qualifications, geographic-information security, map review and data-localization requirements. Regulatory policy encourages compliant crowdsourced collection, real-time updating and online distribution while requiring qualified entities to manage relevant geographic data. These conditions favor domestic map suppliers and partnerships between automakers, licensed mapping companies and cloud-control platforms.

biaoTi COMPETITIVE LANDSCAPE ANALYSIS

The High-Definition Map Data market is concentrated but not controlled by a single global supplier. HERE competes through production-grade HD Live Map deployments, localization models and multinational coverage; TomTom is expanding AI-native lane models and interoperable automated-driving maps; Dynamic Map Platform focuses on professionally surveyed HD road coverage for hands-free and automated-driving systems; and Mobileye differentiates through production-vehicle crowdsourcing and continuously refreshed semantic maps. Japanese, Korean, Chinese and Indian suppliers retain advantages in local road detail, geographic-data compliance and relationships with domestic automakers. Competition is moving away from simply owning a centimeter-level map toward the ability to produce lane-level content at scale, identify changes rapidly, support modular customer requirements and maintain reliable vehicle-cloud update systems.

biaoTi REPORT SCOPE

This report provides a comprehensive view of the global market for High-Definition Map Data, covering total sales revenue, the market share and ranking of key companies, along with analyses by region & country, by Type, and by Application.

The High-Definition Map Data market size, estimations, and forecasts are presented in terms of sales revenue ($ millions), with 2025 as the base year and historical and forecast data from 2021 to 2032. The report combines quantitative and qualitative analysis to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current marketplace, and make informed business decisions regarding High-Definition Map Data.

biaoTi CHAPTER OUTLINE

Chapter 1: Introduces the scope of the report and the global market size (value). It also summarizes market dynamics and recent developments; identifies key drivers and restraints; outlines challenges and risks for players; reviews relevant industry policies.

Chapter 2: Provides a detailed analysis of the High-Definition Map Data companies' competitive landscape—including revenue shares, recent development plans, and mergers and acquisitions (M&A).

Chapter 3: Analyzes market segmentation by Type, presenting the size and growth potential of each segment to help readers identify blue-ocean opportunities.

Chapter 4: Analyzes market segmentation by Application, presenting the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.

Chapter 5: Presents High-Definition Map Data revenue at the regional level. It offers a quantitative assessment of market size and growth potential by region and summarizes market development, future prospects, addressable space, and country-level market size worldwide.

Chapter 6: Presents High-Definition Map Data revenue at the country level. It provides segmented data by Type and by Application for each country/region.

Chapter 7: Profiles key players, detailing the main companies' product revenue, gross margin, product portfolios, recent developments, etc.

Chapter 8: Analysis of Value Chain, including the upstream and downstream of the industry.

Chapter 9: Conclusion.

biaoTi QYRESEARCH'S STRENGTHS

Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:

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We identify regional market threats and growth prospects to guide your overseas layout.

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Competitor tactics in fragmented vs. consolidated markets

We unpack rivals’ operation strategies for scattered and highly concentrated industries.

Full Research Coverage

We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.

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TABLE OF CONTENTS

1 Market Overview

1.1 High-Definition Map Data Product Introduction

1.2 Global High-Definition Map Data Market Size Forecast (2021–2032)

1.3 High-Definition Map Data Market Trends & Drivers

1.3.1 High-Definition Map Data Industry Trends

1.3.2 High-Definition Map Data Market Drivers & Opportunities

1.3.3 High-Definition Map Data Market Challenges

1.3.4 High-Definition Map Data Market Restraints

1.4 Assumptions and Limitations

1.5 Study Objectives

1.6 Years Considered

2 Competitive Analysis by Company

2.1 Global High-Definition Map Data Players Revenue Ranking (2025)

2.2 Global High-Definition Map Data Revenue by Company (2021–2026)

2.3 Key Companies’ R&D and Operations Footprint and Headquarters

2.4 Key Companies High-Definition Map Data Product Offerings

2.5 Key Companies General Availability (GA) Timeline for High-Definition Map Data

2.6 High-Definition Map Data Market Competitive Analysis

2.6.1 High-Definition Map Data Market Concentration Rate (2021–2026)

2.6.2 Top 5 and Top 10 Global Companies by High-Definition Map Data Revenue in 2025

2.6.3 Global Companies by Tier (Tier 1, Tier 2, Tier 3), based on High-Definition Map Data revenue, 2025

2.7 Mergers & Acquisitions and Expansion

3 Segmentation High-Definition Map Data Market Classification

3.1 Introduction by Type

3.1.1 Highway and Expressway

3.1.2 Urban Road

3.1.3 Parking and Closed-Site

3.1.4 Global High-Definition Map Data Sales Value by Type

3.1.4.1 Global High-Definition Map Data Sales Value by Type (2021 vs 2025 vs 2032)

3.1.4.2 Global High-Definition Map Data Sales Value, by Type (2021–2032)

3.1.4.3 Global High-Definition Map Data Sales Value, by Type (%), 2021–2032

3.2 Introduction by Update Model

3.2.1 Survey-Based

3.2.2 Crowdsourced

3.2.3 Hybrid

3.2.4 Global High-Definition Map Data Sales Value by Update Model

3.2.4.1 Global High-Definition Map Data Sales Value by Update Model (2021 vs 2025 vs 2032)

3.2.4.2 Global High-Definition Map Data Sales Value, by Update Model (2021–2032)

3.2.4.3 Global High-Definition Map Data Sales Value, by Update Model (%), 2021–2032

3.3 Introduction by Delivery Architecture

3.3.1 Embedded

3.3.2 Cloud-Based

3.3.3 Hybrid Onboard-Cloud

3.3.4 Global High-Definition Map Data Sales Value by Delivery Architecture

3.3.4.1 Global High-Definition Map Data Sales Value by Delivery Architecture (2021 vs 2025 vs 2032)

3.3.4.2 Global High-Definition Map Data Sales Value, by Delivery Architecture (2021–2032)

3.3.4.3 Global High-Definition Map Data Sales Value, by Delivery Architecture (%), 2021–2032

4 Segmentation by Application

4.1 Introduction by Application

4.1.1 Advanced Level 2 Driver Assistance Systems

4.1.2 Level 3 Automated Driving Systems

4.1.3 Level 4 Automated Driving Systems

4.2 Global High-Definition Map Data Sales Value by Application

4.2.1 Global High-Definition Map Data Sales Value by Application (2021 vs 2025 vs 2032)

4.2.2 Global High-Definition Map Data Sales Value by Application (2021–2032)

4.2.3 Global High-Definition Map Data Sales Value by Application (%), 2021–2032

5 Segmentation by Region

5.1 Global High-Definition Map Data Sales Value by Region

5.1.1 Global High-Definition Map Data Sales Value by Region: 2021 vs 2025 vs 2032

5.1.2 Global High-Definition Map Data Sales Value by Region (2021–2026)

5.1.3 Global High-Definition Map Data Sales Value by Region (2027–2032)

5.1.4 Global High-Definition Map Data Sales Value by Region (%), 2021–2032

5.2 North America

5.2.1 North America High-Definition Map Data Sales Value, 2021–2032

5.2.2 North America High-Definition Map Data Sales Value by Country (%), 2025 vs 2032

5.3 Europe

5.3.1 Europe High-Definition Map Data Sales Value, 2021–2032

5.3.2 Europe High-Definition Map Data Sales Value by Country (%), 2025 vs 2032

5.4 Asia Pacific

5.4.1 Asia Pacific High-Definition Map Data Sales Value, 2021–2032

5.4.2 Asia Pacific High-Definition Map Data Sales Value by Subregion (%), 2025 vs 2032

5.5 South America

5.5.1 South America High-Definition Map Data Sales Value, 2021–2032

5.5.2 South America High-Definition Map Data Sales Value by Country (%), 2025 vs 2032

5.6 Middle East & Africa

5.6.1 Middle East & Africa High-Definition Map Data Sales Value, 2021–2032

5.6.2 Middle East & Africa High-Definition Map Data Sales Value by Country (%), 2025 vs 2032

6 Segmentation by Key Countries/Regions

6.1 Key Countries/Regions High-Definition Map Data Sales Value Growth Trends, 2021 vs 2025 vs 2032

6.2 Key Countries/Regions High-Definition Map Data Sales Value, 2021–2032

6.3 United States

6.3.1 United States High-Definition Map Data Sales Value, 2021–2032

6.3.2 United States High-Definition Map Data Sales Value by Type (%), 2025 vs 2032

6.3.3 United States High-Definition Map Data Sales Value by Application, 2025 vs 2032

6.4 Europe

6.4.1 Europe High-Definition Map Data Sales Value, 2021–2032

6.4.2 Europe High-Definition Map Data Sales Value by Type (%), 2025 vs 2032

6.4.3 Europe High-Definition Map Data Sales Value by Application, 2025 vs 2032

6.5 China

6.5.1 China High-Definition Map Data Sales Value, 2021–2032

6.5.2 China High-Definition Map Data Sales Value by Type (%), 2025 vs 2032

6.5.3 China High-Definition Map Data Sales Value by Application, 2025 vs 2032

6.6 Japan

6.6.1 Japan High-Definition Map Data Sales Value, 2021–2032

6.6.2 Japan High-Definition Map Data Sales Value by Type (%), 2025 vs 2032

6.6.3 Japan High-Definition Map Data Sales Value by Application, 2025 vs 2032

6.7 South Korea

6.7.1 South Korea High-Definition Map Data Sales Value, 2021–2032

6.7.2 South Korea High-Definition Map Data Sales Value by Type (%), 2025 vs 2032

6.7.3 South Korea High-Definition Map Data Sales Value by Application, 2025 vs 2032

6.8 Southeast Asia

6.8.1 Southeast Asia High-Definition Map Data Sales Value, 2021–2032

6.8.2 Southeast Asia High-Definition Map Data Sales Value by Type (%), 2025 vs 2032

6.8.3 Southeast Asia High-Definition Map Data Sales Value by Application, 2025 vs 2032

6.9 India

6.9.1 India High-Definition Map Data Sales Value, 2021–2032

6.9.2 India High-Definition Map Data Sales Value by Type (%), 2025 vs 2032

6.9.3 India High-Definition Map Data Sales Value by Application, 2025 vs 2032

7 Company Profiles

7.1 HERE Technologies

7.1.1 HERE Technologies Profile

7.1.2 HERE Technologies Main Business

7.1.3 HERE Technologies High-Definition Map Data Products, Services, and Solutions

7.1.4 HERE Technologies High-Definition Map Data Revenue (US$ Million), 2021–2026

7.1.5 HERE Technologies Recent Developments

7.2 TomTom N.V.

7.2.1 TomTom N.V. Profile

7.2.2 TomTom N.V. Main Business

7.2.3 TomTom N.V. High-Definition Map Data Products, Services, and Solutions

7.2.4 TomTom N.V. High-Definition Map Data Revenue (US$ Million), 2021–2026

7.2.5 TomTom N.V. Recent Developments

7.3 Mapbox, Inc.

7.3.1 Mapbox, Inc. Profile

7.3.2 Mapbox, Inc. Main Business

7.3.3 Mapbox, Inc. High-Definition Map Data Products, Services, and Solutions

7.3.4 Mapbox, Inc. High-Definition Map Data Revenue (US$ Million), 2021–2026

7.3.5 Mapbox, Inc. Recent Developments

7.4 Mobileye Global Inc.

7.4.1 Mobileye Global Inc. Profile

7.4.2 Mobileye Global Inc. Main Business

7.4.3 Mobileye Global Inc. High-Definition Map Data Products, Services, and Solutions

7.4.4 Mobileye Global Inc. High-Definition Map Data Revenue (US$ Million), 2021–2026

7.4.5 Mobileye Global Inc. Recent Developments

7.5 ZENRIN Co., Ltd.

7.5.1 ZENRIN Co., Ltd. Profile

7.5.2 ZENRIN Co., Ltd. Main Business

7.5.3 ZENRIN Co., Ltd. High-Definition Map Data Products, Services, and Solutions

7.5.4 ZENRIN Co., Ltd. High-Definition Map Data Revenue (US$ Million), 2021–2026

7.5.5 ZENRIN Co., Ltd. Recent Developments

7.6 TOYOTA MAPMASTER INCORPORATED

7.6.1 TOYOTA MAPMASTER INCORPORATED Profile

7.6.2 TOYOTA MAPMASTER INCORPORATED Main Business

7.6.3 TOYOTA MAPMASTER INCORPORATED High-Definition Map Data Products, Services, and Solutions

7.6.4 TOYOTA MAPMASTER INCORPORATED High-Definition Map Data Revenue (US$ Million), 2021–2026

7.6.5 TOYOTA MAPMASTER INCORPORATED Recent Developments

7.7 GeoTechnologies, Inc.

7.7.1 GeoTechnologies, Inc. Profile

7.7.2 GeoTechnologies, Inc. Main Business

7.7.3 GeoTechnologies, Inc. High-Definition Map Data Products, Services, and Solutions

7.7.4 GeoTechnologies, Inc. High-Definition Map Data Revenue (US$ Million), 2021–2026

7.7.5 GeoTechnologies, Inc. Recent Developments

7.8 Hyundai AutoEver Corporation

7.8.1 Hyundai AutoEver Corporation Profile

7.8.2 Hyundai AutoEver Corporation Main Business

7.8.3 Hyundai AutoEver Corporation High-Definition Map Data Products, Services, and Solutions

7.8.4 Hyundai AutoEver Corporation High-Definition Map Data Revenue (US$ Million), 2021–2026

7.8.5 Hyundai AutoEver Corporation Recent Developments

7.9 Dynamic Map Platform Co., Ltd.

7.9.1 Dynamic Map Platform Co., Ltd. Profile

7.9.2 Dynamic Map Platform Co., Ltd. Main Business

7.9.3 Dynamic Map Platform Co., Ltd. High-Definition Map Data Products, Services, and Solutions

7.9.4 Dynamic Map Platform Co., Ltd. High-Definition Map Data Revenue (US$ Million), 2021–2026

7.9.5 Dynamic Map Platform Co., Ltd. Recent Developments

7.10 CE Info Systems Limited (Mappls & MapmyIndia)

7.10.1 CE Info Systems Limited (Mappls & MapmyIndia) Profile

7.10.2 CE Info Systems Limited (Mappls & MapmyIndia) Main Business

7.10.3 CE Info Systems Limited (Mappls & MapmyIndia) High-Definition Map Data Products, Services, and Solutions

7.10.4 CE Info Systems Limited (Mappls & MapmyIndia) High-Definition Map Data Revenue (US$ Million), 2021–2026

7.10.5 CE Info Systems Limited (Mappls & MapmyIndia) Recent Developments

7.11 AutoNavi Software Co., Ltd.

7.11.1 AutoNavi Software Co., Ltd. Profile

7.11.2 AutoNavi Software Co., Ltd. Main Business

7.11.3 AutoNavi Software Co., Ltd. High-Definition Map Data Products, Services, and Solutions

7.11.4 AutoNavi Software Co., Ltd. High-Definition Map Data Revenue (US$ Million), 2021–2026

7.11.5 AutoNavi Software Co., Ltd. Recent Developments

7.12 Beijing Baidu Netcom Science Technology Co., Ltd.

7.12.1 Beijing Baidu Netcom Science Technology Co., Ltd. Profile

7.12.2 Beijing Baidu Netcom Science Technology Co., Ltd. Main Business

7.12.3 Beijing Baidu Netcom Science Technology Co., Ltd. High-Definition Map Data Products, Services, and Solutions

7.12.4 Beijing Baidu Netcom Science Technology Co., Ltd. High-Definition Map Data Revenue (US$ Million), 2021–2026

7.12.5 Beijing Baidu Netcom Science Technology Co., Ltd. Recent Developments

7.13 NavInfo Co., Ltd.

7.13.1 NavInfo Co., Ltd. Profile

7.13.2 NavInfo Co., Ltd. Main Business

7.13.3 NavInfo Co., Ltd. High-Definition Map Data Products, Services, and Solutions

7.13.4 NavInfo Co., Ltd. High-Definition Map Data Revenue (US$ Million), 2021–2026

7.13.5 NavInfo Co., Ltd. Recent Developments

7.14 Tencent Holdings Limited (Tencent Maps)

7.14.1 Tencent Holdings Limited (Tencent Maps) Profile

7.14.2 Tencent Holdings Limited (Tencent Maps) Main Business

7.14.3 Tencent Holdings Limited (Tencent Maps) High-Definition Map Data Products, Services, and Solutions

7.14.4 Tencent Holdings Limited (Tencent Maps) High-Definition Map Data Revenue (US$ Million), 2021–2026

7.14.5 Tencent Holdings Limited (Tencent Maps) Recent Developments

7.15 eMapgo Technologies (Beijing) Co., Ltd.

7.15.1 eMapgo Technologies (Beijing) Co., Ltd. Profile

7.15.2 eMapgo Technologies (Beijing) Co., Ltd. Main Business

7.15.3 eMapgo Technologies (Beijing) Co., Ltd. High-Definition Map Data Products, Services, and Solutions

7.15.4 eMapgo Technologies (Beijing) Co., Ltd. High-Definition Map Data Revenue (US$ Million), 2021–2026

7.15.5 eMapgo Technologies (Beijing) Co., Ltd. Recent Developments

7.16 Hangzhou Langge Technology Co., Ltd.

7.16.1 Hangzhou Langge Technology Co., Ltd. Profile

7.16.2 Hangzhou Langge Technology Co., Ltd. Main Business

7.16.3 Hangzhou Langge Technology Co., Ltd. High-Definition Map Data Products, Services, and Solutions

7.16.4 Hangzhou Langge Technology Co., Ltd. High-Definition Map Data Revenue (US$ Million), 2021–2026

7.16.5 Hangzhou Langge Technology Co., Ltd. Recent Developments

7.17 CICV Data Co., Ltd.

7.17.1 CICV Data Co., Ltd. Profile

7.17.2 CICV Data Co., Ltd. Main Business

7.17.3 CICV Data Co., Ltd. High-Definition Map Data Products, Services, and Solutions

7.17.4 CICV Data Co., Ltd. High-Definition Map Data Revenue (US$ Million), 2021–2026

7.17.5 CICV Data Co., Ltd. Recent Developments

7.18 Hebei Quandao Technology Co., Ltd.

7.18.1 Hebei Quandao Technology Co., Ltd. Profile

7.18.2 Hebei Quandao Technology Co., Ltd. Main Business

7.18.3 Hebei Quandao Technology Co., Ltd. High-Definition Map Data Products, Services, and Solutions

7.18.4 Hebei Quandao Technology Co., Ltd. High-Definition Map Data Revenue (US$ Million), 2021–2026

7.18.5 Hebei Quandao Technology Co., Ltd. Recent Developments

7.19 BrightMap

7.19.1 BrightMap Profile

7.19.2 BrightMap Main Business

7.19.3 BrightMap High-Definition Map Data Products, Services, and Solutions

7.19.4 BrightMap High-Definition Map Data Revenue (US$ Million), 2021–2026

7.19.5 BrightMap Recent Developments

8 Industry Chain Analysis

8.1 High-Definition Map Data Value Chain

8.2 High-Definition Map Data Upstream Analysis

8.2.1 Key Raw Materials

8.2.2 Key Suppliers of Raw Materials

8.2.3 Cost Structure

8.3 Midstream Analysis

8.4 Downstream (Customer) Analysis

8.5 Sales Model and Sales Channelss

8.5.1 High-Definition Map Data Sales Model

8.5.2 Sales Channels

8.5.3 High-Definition Map Data Distributors

9 Research Findings and Conclusion

10 Appendix

10.1 Research Methodology

10.1.1 Methodology/Research Approach

10.1.1.1 Research Programs/Design

10.1.1.2 Market Size Estimation

10.1.1.3 Market Breakdown and Data Triangulation

10.1.2 Data Source

10.1.2.1 Secondary Sources

10.1.2.2 Primary Sources

10.2 Author Details

10.3 Disclaimer

TABLE OF FIGURES

List of Tables

Table 1. High-Definition Map Data Market Trends

Table 2. High-Definition Map Data Market Drivers & Opportunities

Table 3. High-Definition Map Data Market Challenges

Table 4. High-Definition Map Data Market Restraints

Table 5. Global High-Definition Map Data Revenue by Company (US$ Million), 2021–2026

Table 6. Global High-Definition Map Data Revenue Market Share by Company (2021–2026)

Table 7. Key Companies’ R&D and Operations Footprint and Headquarters

Table 8. Key Companies High-Definition Map Data Product Type

Table 9. Key Companies General Availability (GA) Timeline for High-Definition Map Data

Table 10. Global High-Definition Map Data Companies Market Concentration Ratio (CR5 and HHI)

Table 11. Global Companies by Tier (Tier 1, Tier 2, Tier 3), based on High-Definition Map Data revenue, 2025

Table 12. Mergers & Acquisitions and Expansion Plans

Table 13. Global High-Definition Map Data Sales Value by Type: 2021 vs 2025 vs 2032 (US$ Million)

Table 14. Global High-Definition Map Data Sales Value by Type (US$ Million), 2021–2026

Table 15. Global High-Definition Map Data Sales Value by Type (US$ Million), 2027–2032

Table 16. Global High-Definition Map Data Sales Market Share in Value by Type (2021–2026)

Table 17. Global High-Definition Map Data Sales Market Share in Value by Type (2027–2032)

Table 18. Global High-Definition Map Data Sales Value by Update Model: 2021 vs 2025 vs 2032 (US$ Million)

Table 19. Global High-Definition Map Data Sales Value by Update Model (US$ Million), 2021–2026

Table 20. Global High-Definition Map Data Sales Value by Update Model (US$ Million), 2027–2032

Table 21. Global High-Definition Map Data Sales Market Share in Value by Update Model (2021–2026)

Table 22. Global High-Definition Map Data Sales Market Share in Value by Update Model (2027–2032)

Table 23. Global High-Definition Map Data Sales Value by Delivery Architecture: 2021 vs 2025 vs 2032 (US$ Million)

Table 24. Global High-Definition Map Data Sales Value by Delivery Architecture (US$ Million), 2021–2026

Table 25. Global High-Definition Map Data Sales Value by Delivery Architecture (US$ Million), 2027–2032

Table 26. Global High-Definition Map Data Sales Market Share in Value by Delivery Architecture (2021–2026)

Table 27. Global High-Definition Map Data Sales Market Share in Value by Delivery Architecture (2027–2032)

Table 28. Global High-Definition Map Data Sales Value by Application: 2021 vs 2025 vs 2032 (US$ Million)

Table 29. Global High-Definition Map Data Sales Value by Application (US$ Million), 2021–2026

Table 30. Global High-Definition Map Data Sales Value by Application (US$ Million), 2027–2032

Table 31. Global High-Definition Map Data Sales Market Share in Value by Application (2021–2026)

Table 32. Global High-Definition Map Data Sales Market Share in Value by Application (2027–2032)

Table 33. Global High-Definition Map Data Sales Value by Region, (US$ Million), 2021 vs 2025 vs 2032

Table 34. Global High-Definition Map Data Sales Value by Region (US$ Million), 2021–2026

Table 35. Global High-Definition Map Data Sales Value by Region (US$ Million), 2027–2032

Table 36. Global High-Definition Map Data Sales Value by Region (%), 2021–2026

Table 37. Global High-Definition Map Data Sales Value by Region (%), 2027–2032

Table 38. Key Countries/Regions High-Definition Map Data Sales Value Growth Trends, (US$ Million): 2021 vs 2025 vs 2032

Table 39. Key Countries/Regions High-Definition Map Data Sales Value, (US$ Million), 2021–2026

Table 40. Key Countries/Regions High-Definition Map Data Sales Value, (US$ Million), 2027–2032

Table 41. HERE Technologies Basic Information List

Table 42. HERE Technologies Description and Business Overview

Table 43. HERE Technologies High-Definition Map Data Products, Services, and Solutions

Table 44. Revenue (US$ Million) in High-Definition Map Data Business of HERE Technologies (2021–2026)

Table 45. HERE Technologies Recent Developments

Table 46. TomTom N.V. Basic Information List

Table 47. TomTom N.V. Description and Business Overview

Table 48. TomTom N.V. High-Definition Map Data Products, Services, and Solutions

Table 49. Revenue (US$ Million) in High-Definition Map Data Business of TomTom N.V. (2021–2026)

Table 50. TomTom N.V. Recent Developments

Table 51. Mapbox, Inc. Basic Information List

Table 52. Mapbox, Inc. Description and Business Overview

Table 53. Mapbox, Inc. High-Definition Map Data Products, Services, and Solutions

Table 54. Revenue (US$ Million) in High-Definition Map Data Business of Mapbox, Inc. (2021–2026)

Table 55. Mapbox, Inc. Recent Developments

Table 56. Mobileye Global Inc. Basic Information List

Table 57. Mobileye Global Inc. Description and Business Overview

Table 58. Mobileye Global Inc. High-Definition Map Data Products, Services, and Solutions

Table 59. Revenue (US$ Million) in High-Definition Map Data Business of Mobileye Global Inc. (2021–2026)

Table 60. Mobileye Global Inc. Recent Developments

Table 61. ZENRIN Co., Ltd. Basic Information List

Table 62. ZENRIN Co., Ltd. Description and Business Overview

Table 63. ZENRIN Co., Ltd. High-Definition Map Data Products, Services, and Solutions

Table 64. Revenue (US$ Million) in High-Definition Map Data Business of ZENRIN Co., Ltd. (2021–2026)

Table 65. ZENRIN Co., Ltd. Recent Developments

Table 66. TOYOTA MAPMASTER INCORPORATED Basic Information List

Table 67. TOYOTA MAPMASTER INCORPORATED Description and Business Overview

Table 68. TOYOTA MAPMASTER INCORPORATED High-Definition Map Data Products, Services, and Solutions

Table 69. Revenue (US$ Million) in High-Definition Map Data Business of TOYOTA MAPMASTER INCORPORATED (2021–2026)

Table 70. TOYOTA MAPMASTER INCORPORATED Recent Developments

Table 71. GeoTechnologies, Inc. Basic Information List

Table 72. GeoTechnologies, Inc. Description and Business Overview

Table 73. GeoTechnologies, Inc. High-Definition Map Data Products, Services, and Solutions

Table 74. Revenue (US$ Million) in High-Definition Map Data Business of GeoTechnologies, Inc. (2021–2026)

Table 75. GeoTechnologies, Inc. Recent Developments

Table 76. Hyundai AutoEver Corporation Basic Information List

Table 77. Hyundai AutoEver Corporation Description and Business Overview

Table 78. Hyundai AutoEver Corporation High-Definition Map Data Products, Services, and Solutions

Table 79. Revenue (US$ Million) in High-Definition Map Data Business of Hyundai AutoEver Corporation (2021–2026)

Table 80. Hyundai AutoEver Corporation Recent Developments

Table 81. Dynamic Map Platform Co., Ltd. Basic Information List

Table 82. Dynamic Map Platform Co., Ltd. Description and Business Overview

Table 83. Dynamic Map Platform Co., Ltd. High-Definition Map Data Products, Services, and Solutions

Table 84. Revenue (US$ Million) in High-Definition Map Data Business of Dynamic Map Platform Co., Ltd. (2021–2026)

Table 85. Dynamic Map Platform Co., Ltd. Recent Developments

Table 86. CE Info Systems Limited (Mappls & MapmyIndia) Basic Information List

Table 87. CE Info Systems Limited (Mappls & MapmyIndia) Description and Business Overview

Table 88. CE Info Systems Limited (Mappls & MapmyIndia) High-Definition Map Data Products, Services, and Solutions

Table 89. Revenue (US$ Million) in High-Definition Map Data Business of CE Info Systems Limited (Mappls & MapmyIndia) (2021–2026)

Table 90. CE Info Systems Limited (Mappls & MapmyIndia) Recent Developments

Table 91. AutoNavi Software Co., Ltd. Basic Information List

Table 92. AutoNavi Software Co., Ltd. Description and Business Overview

Table 93. AutoNavi Software Co., Ltd. High-Definition Map Data Products, Services, and Solutions

Table 94. Revenue (US$ Million) in High-Definition Map Data Business of AutoNavi Software Co., Ltd. (2021–2026)

Table 95. AutoNavi Software Co., Ltd. Recent Developments

Table 96. Beijing Baidu Netcom Science Technology Co., Ltd. Basic Information List

Table 97. Beijing Baidu Netcom Science Technology Co., Ltd. Description and Business Overview

Table 98. Beijing Baidu Netcom Science Technology Co., Ltd. High-Definition Map Data Products, Services, and Solutions

Table 99. Revenue (US$ Million) in High-Definition Map Data Business of Beijing Baidu Netcom Science Technology Co., Ltd. (2021–2026)

Table 100. Beijing Baidu Netcom Science Technology Co., Ltd. Recent Developments

Table 101. NavInfo Co., Ltd. Basic Information List

Table 102. NavInfo Co., Ltd. Description and Business Overview

Table 103. NavInfo Co., Ltd. High-Definition Map Data Products, Services, and Solutions

Table 104. Revenue (US$ Million) in High-Definition Map Data Business of NavInfo Co., Ltd. (2021–2026)

Table 105. NavInfo Co., Ltd. Recent Developments

Table 106. Tencent Holdings Limited (Tencent Maps) Basic Information List

Table 107. Tencent Holdings Limited (Tencent Maps) Description and Business Overview

Table 108. Tencent Holdings Limited (Tencent Maps) High-Definition Map Data Products, Services, and Solutions

Table 109. Revenue (US$ Million) in High-Definition Map Data Business of Tencent Holdings Limited (Tencent Maps) (2021–2026)

Table 110. Tencent Holdings Limited (Tencent Maps) Recent Developments

Table 111. eMapgo Technologies (Beijing) Co., Ltd. Basic Information List

Table 112. eMapgo Technologies (Beijing) Co., Ltd. Description and Business Overview

Table 113. eMapgo Technologies (Beijing) Co., Ltd. High-Definition Map Data Products, Services, and Solutions

Table 114. Revenue (US$ Million) in High-Definition Map Data Business of eMapgo Technologies (Beijing) Co., Ltd. (2021–2026)

Table 115. eMapgo Technologies (Beijing) Co., Ltd. Recent Developments

Table 116. Hangzhou Langge Technology Co., Ltd. Basic Information List

Table 117. Hangzhou Langge Technology Co., Ltd. Description and Business Overview

Table 118. Hangzhou Langge Technology Co., Ltd. High-Definition Map Data Products, Services, and Solutions

Table 119. Revenue (US$ Million) in High-Definition Map Data Business of Hangzhou Langge Technology Co., Ltd. (2021–2026)

Table 120. Hangzhou Langge Technology Co., Ltd. Recent Developments

Table 121. CICV Data Co., Ltd. Basic Information List

Table 122. CICV Data Co., Ltd. Description and Business Overview

Table 123. CICV Data Co., Ltd. High-Definition Map Data Products, Services, and Solutions

Table 124. Revenue (US$ Million) in High-Definition Map Data Business of CICV Data Co., Ltd. (2021–2026)

Table 125. CICV Data Co., Ltd. Recent Developments

Table 126. Hebei Quandao Technology Co., Ltd. Basic Information List

Table 127. Hebei Quandao Technology Co., Ltd. Description and Business Overview

Table 128. Hebei Quandao Technology Co., Ltd. High-Definition Map Data Products, Services, and Solutions

Table 129. Revenue (US$ Million) in High-Definition Map Data Business of Hebei Quandao Technology Co., Ltd. (2021–2026)

Table 130. Hebei Quandao Technology Co., Ltd. Recent Developments

Table 131. BrightMap Basic Information List

Table 132. BrightMap Description and Business Overview

Table 133. BrightMap High-Definition Map Data Products, Services, and Solutions

Table 134. Revenue (US$ Million) in High-Definition Map Data Business of BrightMap (2021–2026)

Table 135. BrightMap Recent Developments

Table 136. Revenue (US$ Million) in High-Definition Map Data Business of Company 40 (2021–2026)

Table 137. Company 40 Recent Developments

Table 138. Key Raw Materials Lists

Table 139. Key Suppliers of Raw Materials Lists

Table 140. High-Definition Map Data Downstream Customers

Table 141. High-Definition Map Data Distributors List

Table 142. Research Programs/Design for This Report

Table 143. Key Data Information from Secondary Sources

Table 144. Key Data Information from Primary Sources

List of Figures

Figure 1. High-Definition Map Data Product Picture

Figure 2. Global High-Definition Map Data Sales Value, 2021 vs 2025 vs 2032 (US$ Million)

Figure 3. Global High-Definition Map Data Sales Value (US$ Million), 2021–2032

Figure 4. High-Definition Map Data Report Years Considered

Figure 5. Global High-Definition Map Data Players Revenue Ranking (US$ Million), 2025

Figure 6. The 5 and 10 Largest Companies in the World: Market Share by High-Definition Map Data Revenue in 2025

Figure 7. High-Definition Map Data Market Share by Company Type (Tier 1, Tier 2, and Tier 3): 2021 vs 2025

Figure 8. Highway and Expressway Picture

Figure 9. Urban Road Picture

Figure 10. Parking and Closed-Site Picture

Figure 11. Global High-Definition Map Data Sales Value by Type (US$ Million), 2021 vs 2025 vs 2032

Figure 12. Global High-Definition Map Data Sales Value Market Share by Type, 2025 & 2032

Figure 13. Survey-Based Picture

Figure 14. Crowdsourced Picture

Figure 15. Hybrid Picture

Figure 16. Global High-Definition Map Data Sales Value by Update Model (US$ Million), 2021 vs 2025 vs 2032

Figure 17. Global High-Definition Map Data Sales Value Market Share by Update Model, 2025 & 2032

Figure 18. Embedded Picture

Figure 19. Cloud-Based Picture

Figure 20. Hybrid Onboard-Cloud Picture

Figure 21. Global High-Definition Map Data Sales Value by Delivery Architecture (US$ Million), 2021 vs 2025 vs 2032

Figure 22. Global High-Definition Map Data Sales Value Market Share by Delivery Architecture, 2025 & 2032

Figure 23. Product Picture of Advanced Level 2 Driver Assistance Systems

Figure 24. Product Picture of Level 3 Automated Driving Systems

Figure 25. Product Picture of Level 4 Automated Driving Systems

Figure 26. Global High-Definition Map Data Sales Value by Application (US$ Million), 2021 vs 2025 vs 2032

Figure 27. Global High-Definition Map Data Sales Value Market Share by Application, 2025 & 2032

Figure 28. North America High-Definition Map Data Sales Value (US$ Million), 2021–2032

Figure 29. North America High-Definition Map Data Sales Value by Country (%), 2025 vs 2032

Figure 30. Europe High-Definition Map Data Sales Value (US$ Million), 2021–2032

Figure 31. Europe High-Definition Map Data Sales Value by Country (%), 2025 vs 2032

Figure 32. Asia Pacific High-Definition Map Data Sales Value (US$ Million), 2021–2032

Figure 33. Asia Pacific High-Definition Map Data Sales Value by Subregion (%), 2025 vs 2032

Figure 34. South America High-Definition Map Data Sales Value (US$ Million), 2021–2032

Figure 35. South America High-Definition Map Data Sales Value by Country (%), 2025 vs 2032

Figure 36. Middle East & Africa High-Definition Map Data Sales Value (US$ Million), 2021–2032

Figure 37. Middle East & Africa High-Definition Map Data Sales Value by Country (%), 2025 vs 2032

Figure 38. Key Countries/Regions High-Definition Map Data Sales Value (%), 2021–2032

Figure 39. United States High-Definition Map Data Sales Value (US$ Million), 2021–2032

Figure 40. United States High-Definition Map Data Sales Value by Type (%), 2025 vs 2032

Figure 41. United States High-Definition Map Data Sales Value by Application (%), 2025 vs 2032

Figure 42. Europe High-Definition Map Data Sales Value (US$ Million), 2021–2032

Figure 43. Europe High-Definition Map Data Sales Value by Type (%), 2025 vs 2032

Figure 44. Europe High-Definition Map Data Sales Value by Application (%), 2025 vs 2032

Figure 45. China High-Definition Map Data Sales Value (US$ Million), 2021–2032

Figure 46. China High-Definition Map Data Sales Value by Type (%), 2025 vs 2032

Figure 47. China High-Definition Map Data Sales Value by Application (%), 2025 vs 2032

Figure 48. Japan High-Definition Map Data Sales Value (US$ Million), 2021–2032

Figure 49. Japan High-Definition Map Data Sales Value by Type (%), 2025 vs 2032

Figure 50. Japan High-Definition Map Data Sales Value by Application (%), 2025 vs 2032

Figure 51. South Korea High-Definition Map Data Sales Value (US$ Million), 2021–2032

Figure 52. South Korea High-Definition Map Data Sales Value by Type (%), 2025 vs 2032

Figure 53. South Korea High-Definition Map Data Sales Value by Application (%), 2025 vs 2032

Figure 54. Southeast Asia High-Definition Map Data Sales Value (US$ Million), 2021–2032

Figure 55. Southeast Asia High-Definition Map Data Sales Value by Type (%), 2025 vs 2032

Figure 56. Southeast Asia High-Definition Map Data Sales Value by Application (%), 2025 vs 2032

Figure 57. India High-Definition Map Data Sales Value (US$ Million), 2021–2032

Figure 58. India High-Definition Map Data Sales Value by Type (%), 2025 vs 2032

Figure 59. India High-Definition Map Data Sales Value by Application (%), 2025 vs 2032

Figure 60. High-Definition Map Data Value Chain

Figure 61. High-Definition Map Data Cost Structure

Figure 62. Channels of Distribution (Direct Sales, and Distribution)

Figure 63. Bottom-up and Top-down Approaches for This Report

Figure 64. Data Triangulation

Figure 65. Key Executives Interviewed

KEY QUESTIONS ADDRESSED BY THE REPORT

What was the global market size of High-Definition Map Data in 2026? zhanKai

The global market size of High-Definition Map Data in 2026 was 1310 Million USD.

What is the annual compound growth rate of the global High-Definition Map Data market size from 2026 to 2032? shouQi

Which companies rank high in the global High-Definition Map Data market? shouQi

What was the global market size of High-Definition Map Data in 2032? shouQi

Which region is expected to have the highest market share? shouQi

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