시장보고서
상품코드
1862486

자율주행용 고정밀 지도 : 세계 시장 점유율과 순위, 총판매량 및 수요 예측(2025-2031년)

HD Map for Autonomous Driving - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031

발행일: | 리서치사: QYResearch | 페이지 정보: 영문 | 배송안내 : 2-3일 (영업일 기준)

    
    
    




■ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송일정은 문의해 주시기 바랍니다.

세계의 자율주행용 고정밀 지도 시장 규모는 2024년에 69억 1,400만 달러로 추정되며, 2025-2031년의 예측 기간에 CAGR 42.1%로 확대하며, 2031년까지 902억 5,400만 달러에 달할 것으로 예측되고 있습니다.

자율주행용 고정밀지도(HD 맵)는 자율주행 차량에 센티미터 단위의 정확도를 제공하는 동적 지리정보시스템입니다. 여기에는 도로 형상, 교통 표지판, 차선, 장애물 등의 정적 요소와 신호등 상태, 교통 흐름, 공사 정보 등의 동적 데이터가 포함됩니다.

자율주행용 고정밀 지도는 '보조 툴'에서 '핵심 인프라'로 전환되고 있습니다. 기술 측면에서는 동적, 경량, 실시간성이 중요한 과제가 되고, 시장에서는 국제적인 거대 기업이 하이엔드 시장을 독점하고 있는 반면, 중국 기업은 정책적 지원과 기술 혁신으로 빠르게 부상하고 있습니다. 향후 5G-AI-V2I 연계가 심화됨에 따라 고정밀 지도는 지각 시스템과 깊이 통합되어 지능형 교통시스템의 '디지털 기반'이 될 것입니다. 그러나 데이터 프라이버시 보호, 네트워크 용량, 다원 데이터 융합의 정확성 등이 업계의 돌파구가 될 수 있는 중요한 영역입니다.

이 보고서는 자율주행용 고정밀 지도 세계 시장에 대해 총매출액, 주요 기업의 시장 점유율 및 순위를 중심으로 지역별, 국가별, 유형별, 용도별 분석을 통해 종합적인 현황을 제시하고자 합니다.

자율주행용 고정밀 지도 시장 규모, 추정 및 예측은 매출액 기준으로 제시되며, 2024년을 기준 연도로 하여 2020-2031년의 기간의 과거 데이터와 예측 데이터를 포함합니다. 정량적, 정성적 분석을 통해 독자들이 비즈니스/성장 전략 수립, 시장 경쟁 평가, 현재 시장에서의 포지셔닝 분석, 자율주행용 고정밀 지도 관련 정보에 기반한 비즈니스 의사결정을 내릴 수 있도록 지원합니다.

시장 세분화

기업별

  • Here
  • TomTom
  • Google
  • Alibaba(AutoNavi)
  • Navinfo
  • Mobieye
  • Baidu
  • Dynamic Map Platform(DMP)
  • NVIDIA
  • Sanborn

유형별 부문

  • 크라우드소싱 모델
  • 집중형 모드

용도별 부문

  • L1/L2+ 운전 자동화
  • 레벨 3 운전 자동화
  • 기타

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
KSA 25.12.22

자주 묻는 질문

  • 자율주행용 고정밀 지도 시장 규모는 어떻게 예측되나요?
  • 자율주행용 고정밀 지도는 어떤 기능을 제공하나요?
  • 자율주행용 고정밀 지도의 기술적 과제는 무엇인가요?
  • 자율주행용 고정밀 지도 시장의 주요 기업은 어디인가요?
  • 자율주행용 고정밀 지도의 용도는 어떤 것들이 있나요?
  • 자율주행용 고정밀 지도 시장은 어떤 지역에서 성장하고 있나요?

The global market for HD Map for Autonomous Driving was estimated to be worth US$ 6914 million in 2024 and is forecast to a readjusted size of US$ 90254 million by 2031 with a CAGR of 42.1% during the forecast period 2025-2031.

Autonomous driving high-definition maps (HD Maps) are dynamic geographic information systems that provide autonomous vehicles with centimeter-level accuracy. They include static elements such as road geometry, traffic signs, lane lines, and obstacles, as well as dynamic data such as traffic light status, traffic flow, and construction information.

Autonomous driving high-definition maps are transitioning from "support tools" to "core infrastructure." Technologically, dynamic, lightweight, and real-time capabilities have become key directions; in the market, international giants dominate the high-end market, while Chinese companies are rapidly rising through policy incentives and technological innovation. In the future, as 5G, AI, and vehicle-to-infrastructure collaboration deepen, high-definition maps will integrate deeply with perception systems, becoming the "digital foundation" of intelligent transportation. However, challenges remain: data privacy protection, network capacity, and the accuracy of multi-source data fusion remain key areas for industry breakthroughs.

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

The HD Map for Autonomous Driving 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 Map for Autonomous Driving.

Market Segmentation

By Company

  • Here
  • TomTom
  • Google
  • Alibaba (AutoNavi)
  • Navinfo
  • Mobieye
  • Baidu
  • Dynamic Map Platform (DMP)
  • NVIDIA
  • Sanborn

Segment by Type

  • Crowdsourcing Model
  • Centralized Mode

Segment by Application

  • L1/L2+ Driving Automation
  • L3 Driving Automation
  • Others

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

2 Competitive Analysis by Company

  • 2.1 Global HD Map for Autonomous Driving Players Revenue Ranking (2024)
  • 2.2 Global HD Map for Autonomous Driving Revenue by Company (2020-2025)
  • 2.3 Key Companies HD Map for Autonomous Driving Manufacturing Base Distribution and Headquarters
  • 2.4 Key Companies HD Map for Autonomous Driving Product Offered
  • 2.5 Key Companies Time to Begin Mass Production of HD Map for Autonomous Driving
  • 2.6 HD Map for Autonomous Driving Market Competitive Analysis
    • 2.6.1 HD Map for Autonomous Driving Market Concentration Rate (2020-2025)
    • 2.6.2 Global 5 and 10 Largest Companies by HD Map for Autonomous Driving 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 Map for Autonomous Driving 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 Map for Autonomous Driving Sales Value by Type
    • 3.2.1 Global HD Map for Autonomous Driving Sales Value by Type (2020 VS 2024 VS 2031)
    • 3.2.2 Global HD Map for Autonomous Driving Sales Value, by Type (2020-2031)
    • 3.2.3 Global HD Map for Autonomous Driving Sales Value, by Type (%) (2020-2031)

4 Segmentation by Application

  • 4.1 Introduction by Application
    • 4.1.1 L1/L2+ Driving Automation
    • 4.1.2 L3 Driving Automation
    • 4.1.3 Others
  • 4.2 Global HD Map for Autonomous Driving Sales Value by Application
    • 4.2.1 Global HD Map for Autonomous Driving Sales Value by Application (2020 VS 2024 VS 2031)
    • 4.2.2 Global HD Map for Autonomous Driving Sales Value, by Application (2020-2031)
    • 4.2.3 Global HD Map for Autonomous Driving Sales Value, by Application (%) (2020-2031)

5 Segmentation by Region

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

6 Segmentation by Key Countries/Regions

  • 6.1 Key Countries/Regions HD Map for Autonomous Driving Sales Value Growth Trends, 2020 VS 2024 VS 2031
  • 6.2 Key Countries/Regions HD Map for Autonomous Driving Sales Value, 2020-2031
  • 6.3 United States
    • 6.3.1 United States HD Map for Autonomous Driving Sales Value, 2020-2031
    • 6.3.2 United States HD Map for Autonomous Driving Sales Value by Type (%), 2024 VS 2031
    • 6.3.3 United States HD Map for Autonomous Driving Sales Value by Application, 2024 VS 2031
  • 6.4 Europe
    • 6.4.1 Europe HD Map for Autonomous Driving Sales Value, 2020-2031
    • 6.4.2 Europe HD Map for Autonomous Driving Sales Value by Type (%), 2024 VS 2031
    • 6.4.3 Europe HD Map for Autonomous Driving Sales Value by Application, 2024 VS 2031
  • 6.5 China
    • 6.5.1 China HD Map for Autonomous Driving Sales Value, 2020-2031
    • 6.5.2 China HD Map for Autonomous Driving Sales Value by Type (%), 2024 VS 2031
    • 6.5.3 China HD Map for Autonomous Driving Sales Value by Application, 2024 VS 2031
  • 6.6 Japan
    • 6.6.1 Japan HD Map for Autonomous Driving Sales Value, 2020-2031
    • 6.6.2 Japan HD Map for Autonomous Driving Sales Value by Type (%), 2024 VS 2031
    • 6.6.3 Japan HD Map for Autonomous Driving Sales Value by Application, 2024 VS 2031
  • 6.7 South Korea
    • 6.7.1 South Korea HD Map for Autonomous Driving Sales Value, 2020-2031
    • 6.7.2 South Korea HD Map for Autonomous Driving Sales Value by Type (%), 2024 VS 2031
    • 6.7.3 South Korea HD Map for Autonomous Driving Sales Value by Application, 2024 VS 2031
  • 6.8 Southeast Asia
    • 6.8.1 Southeast Asia HD Map for Autonomous Driving Sales Value, 2020-2031
    • 6.8.2 Southeast Asia HD Map for Autonomous Driving Sales Value by Type (%), 2024 VS 2031
    • 6.8.3 Southeast Asia HD Map for Autonomous Driving Sales Value by Application, 2024 VS 2031
  • 6.9 India
    • 6.9.1 India HD Map for Autonomous Driving Sales Value, 2020-2031
    • 6.9.2 India HD Map for Autonomous Driving Sales Value by Type (%), 2024 VS 2031
    • 6.9.3 India HD Map for Autonomous Driving 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 Map for Autonomous Driving Products, Services and Solutions
    • 7.1.4 Here HD Map for Autonomous Driving 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 Map for Autonomous Driving Products, Services and Solutions
    • 7.2.4 TomTom HD Map for Autonomous Driving 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 Map for Autonomous Driving Products, Services and Solutions
    • 7.3.4 Google HD Map for Autonomous Driving 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 Map for Autonomous Driving Products, Services and Solutions
    • 7.4.4 Alibaba (AutoNavi) HD Map for Autonomous Driving 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 Map for Autonomous Driving Products, Services and Solutions
    • 7.5.4 Navinfo HD Map for Autonomous Driving Revenue (US$ Million) & (2020-2025)
    • 7.5.5 Navinfo Recent Developments
  • 7.6 Mobieye
    • 7.6.1 Mobieye Profile
    • 7.6.2 Mobieye Main Business
    • 7.6.3 Mobieye HD Map for Autonomous Driving Products, Services and Solutions
    • 7.6.4 Mobieye HD Map for Autonomous Driving Revenue (US$ Million) & (2020-2025)
    • 7.6.5 Mobieye Recent Developments
  • 7.7 Baidu
    • 7.7.1 Baidu Profile
    • 7.7.2 Baidu Main Business
    • 7.7.3 Baidu HD Map for Autonomous Driving Products, Services and Solutions
    • 7.7.4 Baidu HD Map for Autonomous Driving Revenue (US$ Million) & (2020-2025)
    • 7.7.5 Baidu Recent Developments
  • 7.8 Dynamic Map Platform (DMP)
    • 7.8.1 Dynamic Map Platform (DMP) Profile
    • 7.8.2 Dynamic Map Platform (DMP) Main Business
    • 7.8.3 Dynamic Map Platform (DMP) HD Map for Autonomous Driving Products, Services and Solutions
    • 7.8.4 Dynamic Map Platform (DMP) HD Map for Autonomous Driving Revenue (US$ Million) & (2020-2025)
    • 7.8.5 Dynamic Map Platform (DMP) Recent Developments
  • 7.9 NVIDIA
    • 7.9.1 NVIDIA Profile
    • 7.9.2 NVIDIA Main Business
    • 7.9.3 NVIDIA HD Map for Autonomous Driving Products, Services and Solutions
    • 7.9.4 NVIDIA HD Map for Autonomous Driving Revenue (US$ Million) & (2020-2025)
    • 7.9.5 NVIDIA Recent Developments
  • 7.10 Sanborn
    • 7.10.1 Sanborn Profile
    • 7.10.2 Sanborn Main Business
    • 7.10.3 Sanborn HD Map for Autonomous Driving Products, Services and Solutions
    • 7.10.4 Sanborn HD Map for Autonomous Driving Revenue (US$ Million) & (2020-2025)
    • 7.10.5 Sanborn Recent Developments

8 Industry Chain Analysis

  • 8.1 HD Map for Autonomous Driving Industrial Chain
  • 8.2 HD Map for Autonomous Driving 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 Map for Autonomous Driving Sales Model
    • 8.5.2 Sales Channel
    • 8.5.3 HD Map for Autonomous Driving 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
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