한글목차

세계의 고정도 지도(HD 맵) 시장 규모는 2024년에 18억 7,300만 달러로 추정되며, 2025-2031년의 예측 기간에 CAGR 50.6%로 확대하며, 2031년까지 377억 2,800만 달러에 달할 것으로 예측되고 있습니다.

고정밀지도(HD 맵)는 센티미터 단위의 정확도(절대정밀도 및 상대정밀도 모두 1미터 이하)를 기반으로 한 지리정보 데이터로, 멀티센서 융합기술(LiDAR, 카메라, GNSS/INS 등)을 이용하여 구축되며, 도로 형상, 시맨틱, 동적 정보를 포함한 다층적 지도 시스템을 구성합니다. 다층적인 지도 시스템을 구성하고 있습니다.

성장 촉진요인

자율주행 기술의 진화: 레벨 3 이상의 자율주행은 고화질 지도에 의존하고 있으며, 2024년에는 전 세계에서 레벨 2 이상 모델의 보급률이 35%에 달하고, 지도 수요의 급격한 증가를 견인하고 있습니다. 예를 들어 바이두 아폴로의 고화질 지도는 중국내 30만km의 고속도로와 50개 도시를 커버하며, 도시 내비게이션 기능을 갖춘 양산형 모델을 지원합니다.

정책 및 인프라 추진: 중국의 '리얼 씬 3D 중국' 구상은 스마트 시티와 지능형 교통시스템 개발에 1,000억 위안 이상을 투자했습니다. EU의 일반 안전 규정에 따라 2024년 이후 신차에는 ADAS 맵 탑재가 의무화됩니다.

기술 비용 감소: 라이더 가격은 2018년 8,000달러에서 2024년까지 500달러로 낮아져 지도 데이터 수집 비용을 70% 절감했습니다.

응용 시나리오

스마트 차량: 자율주행의 주요 촉진요인(점유율 74.7%). 예: 테슬라 오토파일럿은 동적 지도를 통한 자동차 라인 변경을 실현합니다. 차량용 내비게이션(점유율 15.3%). 예: 폭스바겐, BMW 등의 차량에 톰톰 지도가 사전 설치되어 있습니다.

물류-운송: 배송 경로 최적화(예: JD로지스틱스는 지도를 활용하여 운송비용 12% 절감), 로보택시 운행관리 지원(예: 웨이모의 지도는 미국 10개 도시를 커버).

스마트 시티: 심천시는 고화질 지도를 활용하여 신호등을 실시간으로 최적화함으로써 러시아워 교통 효율을 20% 향상시키고 있습니다. 상하이 임항신구는 지도를 기반으로 한 디지털 트윈 도시를 구축하고 있습니다.

이 보고서는 세계 고정밀 지도 세계 시장에 대해 총매출액, 주요 기업의 시장 점유율 및 순위에 초점을 맞추고 지역/국가, 유형 및 용도별 분석을 종합적으로 제시하는 것을 목적으로 합니다.

HD 맵 시장 규모, 추정 및 예측은 2024년을 기준 연도로 하여 2020-2031년 기간의 과거 데이터와 예측 데이터를 포함하는 판매 매출로 제공됩니다. 정량적 분석과 정성적 분석을 통해 독자들이 비즈니스/성장 전략을 수립하고, 시장 경쟁 구도를 평가하고, 현재 시장에서의 위치를 분석하고, HD 맵에 대한 정보에 입각한 비즈니스 의사결정을 내릴 수 있도록 돕고자 합니다.

시장 세분화

기업별

• Here
• TomTom
• Google
• Alibaba(AutoNavi)
• Navinfo
• Mobileye
• Sanborn
• Baidu

유형별 부문

• 크라우드소싱 모델
• 집중형 모드

용도별 부문

• ADAS
• 자율주행차
• 기타(위치 정보)

지역별

• 북미
  • 미국
  • 캐나다
• 아시아태평양
  • 중국
  • 일본
  • 한국
  • 동남아시아
  • 인도
  • 호주
  • 기타 아시아태평양
• 유럽
  • 독일
  • 프랑스
  • 영국
  • 이탈리아
  • 네덜란드
  • 북유럽 국가
  • 기타 유럽
• 라틴아메리카
  • 멕시코
  • 브라질
  • 기타 라틴아메리카
• 중동 및 아프리카
  • 튀르키예
  • 사우디아라비아
  • 아랍에미리트
  • 기타 중동 및 아프리카

영문목차

The global market for HD Maps was estimated to be worth US$ 1873 million in 2024 and is forecast to a readjusted size of US$ 37728 million by 2031 with a CAGR of 50.6% during the forecast period 2025-2031.

High-definition maps (HD maps) are geographic information data based on centimeter-level accuracy (both absolute and relative accuracy ≤ 1 meter), constructed using multi-sensor fusion technology (lidar, cameras, GNSS/INS, etc.), and comprising a multi-level map system that includes road geometry, semantics, and dynamic information.

Driving Factors

Autonomous driving technology iteration: Level 3 and above autonomous driving relies on high-definition maps, with the global penetration rate of L2+ and above models reaching 35% in 2024, driving a surge in map demand. For example, Baidu Apollo's high-definition maps cover 300,000 kilometers of expressways and 50 cities in China, supporting mass-produced models with city navigation functions.

Policy and Infrastructure Driven: China's "Real-Scene 3D China" initiative has invested over 100 billion yuan to advance smart city and intelligent transportation development; the EU's General Safety Regulation mandates that new vehicles must be equipped with ADAS maps starting in 2024.

Declining Technology Costs: The price of lidar has dropped from $8,000 in 2018 to $500 by 2024, reducing map data collection costs by 70%.

Application Scenarios

Smart Vehicles: Primary driver of autonomous driving (74.7% share), such as Tesla Autopilot enabling automatic lane changes via dynamic maps; in-vehicle navigation (15.3% share), with TomTom maps pre-installed in vehicles from manufacturers like Volkswagen and BMW.

Logistics and Transportation: Optimizing delivery routes (e.g., JD Logistics reduced transportation costs by 12% using maps), supporting Robotaxi scheduling (e.g., Waymo maps cover 10 cities in the US).

Smart Cities: Shenzhen uses high-definition maps to optimize traffic signals in real-time, improving peak-hour traffic efficiency by 20%; the Lingang New Area in Shanghai has built a digital twin city based on maps.

This report aims to provide a comprehensive presentation of the global market for HD Maps, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of HD Maps by region & country, by Type, and by Application.

The HD Maps market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding HD Maps.

Market Segmentation

By Company

• Here
• TomTom
• Google
• Alibaba (AutoNavi)
• Navinfo
• Mobileye
• Sanborn
• Baidu

Segment by Type

• Crowdsourcing Model
• Centralized Mode

Segment by Application

• ADAS
• Autonomous Vehicles
• Others (Positioning)

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

Chapter Outline

Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides 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 2: Detailed analysis of HD Maps company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.

Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 5: Revenue of HD Maps in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.

Chapter 6: Revenue of HD Maps in country level. It provides sigmate data by Type, and by Application for each country/region.

Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.

Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.

Chapter 9: Conclusion.

Table of Contents

1 Market Overview

• 1.1 HD Maps Product Introduction
• 1.2 Global HD Maps Market Size Forecast (2020-2031)
• 1.3 HD Maps Market Trends & Drivers
  • 1.3.1 HD Maps Industry Trends
  • 1.3.2 HD Maps Market Drivers & Opportunity
  • 1.3.3 HD Maps Market Challenges
  • 1.3.4 HD Maps Market Restraints
• 1.4 Assumptions and Limitations
• 1.5 Study Objectives
• 1.6 Years Considered

2 Competitive Analysis by Company

• 2.1 Global HD Maps Players Revenue Ranking (2024)
• 2.2 Global HD Maps Revenue by Company (2020-2025)
• 2.3 Key Companies HD Maps Manufacturing Base Distribution and Headquarters
• 2.4 Key Companies HD Maps Product Offered
• 2.5 Key Companies Time to Begin Mass Production of HD Maps
• 2.6 HD Maps Market Competitive Analysis
  • 2.6.1 HD Maps Market Concentration Rate (2020-2025)
  • 2.6.2 Global 5 and 10 Largest Companies by HD Maps Revenue in 2024
  • 2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in HD Maps as of 2024)
• 2.7 Mergers & Acquisitions, Expansion

3 Segmentation by Type

• 3.1 Introduction by Type
  • 3.1.1 Crowdsourcing Model
  • 3.1.2 Centralized Mode
• 3.2 Global HD Maps Sales Value by Type
  • 3.2.1 Global HD Maps Sales Value by Type (2020 VS 2024 VS 2031)
  • 3.2.2 Global HD Maps Sales Value, by Type (2020-2031)
  • 3.2.3 Global HD Maps Sales Value, by Type (%) (2020-2031)

4 Segmentation by Application

• 4.1 Introduction by Application
  • 4.1.1 ADAS
  • 4.1.2 Autonomous Vehicles
  • 4.1.3 Others (Positioning)
• 4.2 Global HD Maps Sales Value by Application
  • 4.2.1 Global HD Maps Sales Value by Application (2020 VS 2024 VS 2031)
  • 4.2.2 Global HD Maps Sales Value, by Application (2020-2031)
  • 4.2.3 Global HD Maps Sales Value, by Application (%) (2020-2031)

5 Segmentation by Region

• 5.1 Global HD Maps Sales Value by Region
  • 5.1.1 Global HD Maps Sales Value by Region: 2020 VS 2024 VS 2031
  • 5.1.2 Global HD Maps Sales Value by Region (2020-2025)
  • 5.1.3 Global HD Maps Sales Value by Region (2026-2031)
  • 5.1.4 Global HD Maps Sales Value by Region (%), (2020-2031)
• 5.2 North America
  • 5.2.1 North America HD Maps Sales Value, 2020-2031
  • 5.2.2 North America HD Maps Sales Value by Country (%), 2024 VS 2031
• 5.3 Europe
  • 5.3.1 Europe HD Maps Sales Value, 2020-2031
  • 5.3.2 Europe HD Maps Sales Value by Country (%), 2024 VS 2031
• 5.4 Asia Pacific
  • 5.4.1 Asia Pacific HD Maps Sales Value, 2020-2031
  • 5.4.2 Asia Pacific HD Maps Sales Value by Region (%), 2024 VS 2031
• 5.5 South America
  • 5.5.1 South America HD Maps Sales Value, 2020-2031
  • 5.5.2 South America HD Maps Sales Value by Country (%), 2024 VS 2031
• 5.6 Middle East & Africa
  • 5.6.1 Middle East & Africa HD Maps Sales Value, 2020-2031
  • 5.6.2 Middle East & Africa HD Maps Sales Value by Country (%), 2024 VS 2031

6 Segmentation by Key Countries/Regions

• 6.1 Key Countries/Regions HD Maps Sales Value Growth Trends, 2020 VS 2024 VS 2031
• 6.2 Key Countries/Regions HD Maps Sales Value, 2020-2031
• 6.3 United States
  • 6.3.1 United States HD Maps Sales Value, 2020-2031
  • 6.3.2 United States HD Maps Sales Value by Type (%), 2024 VS 2031
  • 6.3.3 United States HD Maps Sales Value by Application, 2024 VS 2031
• 6.4 Europe
  • 6.4.1 Europe HD Maps Sales Value, 2020-2031
  • 6.4.2 Europe HD Maps Sales Value by Type (%), 2024 VS 2031
  • 6.4.3 Europe HD Maps Sales Value by Application, 2024 VS 2031
• 6.5 China
  • 6.5.1 China HD Maps Sales Value, 2020-2031
  • 6.5.2 China HD Maps Sales Value by Type (%), 2024 VS 2031
  • 6.5.3 China HD Maps Sales Value by Application, 2024 VS 2031
• 6.6 Japan
  • 6.6.1 Japan HD Maps Sales Value, 2020-2031
  • 6.6.2 Japan HD Maps Sales Value by Type (%), 2024 VS 2031
  • 6.6.3 Japan HD Maps Sales Value by Application, 2024 VS 2031
• 6.7 South Korea
  • 6.7.1 South Korea HD Maps Sales Value, 2020-2031
  • 6.7.2 South Korea HD Maps Sales Value by Type (%), 2024 VS 2031
  • 6.7.3 South Korea HD Maps Sales Value by Application, 2024 VS 2031
• 6.8 Southeast Asia
  • 6.8.1 Southeast Asia HD Maps Sales Value, 2020-2031
  • 6.8.2 Southeast Asia HD Maps Sales Value by Type (%), 2024 VS 2031
  • 6.8.3 Southeast Asia HD Maps Sales Value by Application, 2024 VS 2031
• 6.9 India
  • 6.9.1 India HD Maps Sales Value, 2020-2031
  • 6.9.2 India HD Maps Sales Value by Type (%), 2024 VS 2031
  • 6.9.3 India HD Maps Sales Value by Application, 2024 VS 2031

7 Company Profiles

• 7.1 Here
  • 7.1.1 Here Profile
  • 7.1.2 Here Main Business
  • 7.1.3 Here HD Maps Products, Services and Solutions
  • 7.1.4 Here HD Maps Revenue (US$ Million) & (2020-2025)
  • 7.1.5 Here Recent Developments
• 7.2 TomTom
  • 7.2.1 TomTom Profile
  • 7.2.2 TomTom Main Business
  • 7.2.3 TomTom HD Maps Products, Services and Solutions
  • 7.2.4 TomTom HD Maps Revenue (US$ Million) & (2020-2025)
  • 7.2.5 TomTom Recent Developments
• 7.3 Google
  • 7.3.1 Google Profile
  • 7.3.2 Google Main Business
  • 7.3.3 Google HD Maps Products, Services and Solutions
  • 7.3.4 Google HD Maps Revenue (US$ Million) & (2020-2025)
  • 7.3.5 Google Recent Developments
• 7.4 Alibaba (AutoNavi)
  • 7.4.1 Alibaba (AutoNavi) Profile
  • 7.4.2 Alibaba (AutoNavi) Main Business
  • 7.4.3 Alibaba (AutoNavi) HD Maps Products, Services and Solutions
  • 7.4.4 Alibaba (AutoNavi) HD Maps Revenue (US$ Million) & (2020-2025)
  • 7.4.5 Alibaba (AutoNavi) Recent Developments
• 7.5 Navinfo
  • 7.5.1 Navinfo Profile
  • 7.5.2 Navinfo Main Business
  • 7.5.3 Navinfo HD Maps Products, Services and Solutions
  • 7.5.4 Navinfo HD Maps Revenue (US$ Million) & (2020-2025)
  • 7.5.5 Navinfo Recent Developments
• 7.6 Mobileye
  • 7.6.1 Mobileye Profile
  • 7.6.2 Mobileye Main Business
  • 7.6.3 Mobileye HD Maps Products, Services and Solutions
  • 7.6.4 Mobileye HD Maps Revenue (US$ Million) & (2020-2025)
  • 7.6.5 Mobileye Recent Developments
• 7.7 Sanborn
  • 7.7.1 Sanborn Profile
  • 7.7.2 Sanborn Main Business
  • 7.7.3 Sanborn HD Maps Products, Services and Solutions
  • 7.7.4 Sanborn HD Maps Revenue (US$ Million) & (2020-2025)
  • 7.7.5 Sanborn Recent Developments
• 7.8 Baidu
  • 7.8.1 Baidu Profile
  • 7.8.2 Baidu Main Business
  • 7.8.3 Baidu HD Maps Products, Services and Solutions
  • 7.8.4 Baidu HD Maps Revenue (US$ Million) & (2020-2025)
  • 7.8.5 Baidu Recent Developments

8 Industry Chain Analysis

• 8.1 HD Maps Industrial Chain
• 8.2 HD Maps Upstream Analysis
  • 8.2.1 Key Raw Materials
  • 8.2.2 Raw Materials Key Suppliers
  • 8.2.3 Manufacturing Cost Structure
• 8.3 Midstream Analysis
• 8.4 Downstream Analysis (Customers Analysis)
• 8.5 Sales Model and Sales Channels
  • 8.5.1 HD Maps Sales Model
  • 8.5.2 Sales Channel
  • 8.5.3 HD Maps 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