HD Maps for Autonomous Driving Market – Global Forecast to 2032
자율주행을 위한 고정밀지도(HD Maps) 시장 – 서비스 유형(매핑 및 현지화, 업데이트 및 유지 관리), 차량 유형(PC 및 CV), 솔루션 유형(임베디드 및 클라우드), 사용 유형, 자동화 수준(L2, L3, L4, L5) 및 지역 – 2032년까지의 세계 예측
HD Maps for Autonomous Driving Market by Service Type (Mapping & Localization, Update & Maintenance), Vehicle Type (PC & CV), Solution Type (Embedded & Cloud), Usage Type, Level of Automation (L2, L3, L4, L5), and Region – Global Forecast to 2032
| 조사회사 | MarketsandMarkets |
| 출판년월 | 2025년9월 |
| 페이지 수 | 260 |
| 도표 수 | 266 |
| 라이센스 | Single User License |
| 가격 | USD 4,950 |
| 구성 | 영문조사보고서 |
자율주행을 위한 고정밀지도(HD Maps) 시장은 2025년 10억 9천만 달러에서 2032년 21억 9천만 달러로 연평균 성장률 10.5%로 성장할 것으로 전망됩니다.
자율주행을 위한 고정밀지도(HD Maps) 시장은 도로를 표시하고 신호등, 횡단보도, 차선 표시와 같은 사물을 해석하여 상황 인식을 지원하는 시맨틱 매핑의 부상과 함께 성장하고 있습니다. 또 다른 새로운 트렌드는 블록체인과 안전한 데이터 공유 프레임워크를 활용하여 차량 간 지도 업데이트의 신뢰성과 신뢰성을 보장하는 것입니다. 또한, 자율주행차의 연산 부하를 줄이면서 정확도를 유지하기 위해 에너지 효율적인 매핑 기술이 주목을 받고 있습니다. HD 지도 데이터는 일반적으로 LiDAR, 카메라, GPS, 레이더를 사용하여 센서가 장착된 차량을 통해 수집되며, 이러한 차량은 도로 및 주변 환경 정보를 지속적으로 수집하고 업데이트합니다. 이러한 크라우드소싱 및 센서 융합 방식은 자율주행을 위해 지도의 정확성과 최신성을 보장합니다. 이러한 모든 요소가 자율주행용 HD 지도 시장의 성장을 촉진하고 있습니다.
본 보고서는 자율주행을 위한 고정밀지도(HD Maps) 시장을 서비스 유형(매핑 및 현지화, 업데이트 및 유지보수, 광고), 차량 유형(승용차 및 상용차), 솔루션 유형(임베디드 및 클라우드 기반), 사용 유형, 자동화 수준 및 지역별로 분석합니다. 또한, 자율주행 시장 생태계 참여 기업들의 주요 HD 맵 경쟁 환경과 기업 프로필을 다룹니다. 이 연구에는 주요 시장 참여자에 대한 심층적인 경쟁 분석, 회사 프로필, 제품 및 사업 제공과 관련된 주요 관찰 결과, 최근 개발 사항, 주요 시장 전략도 포함됩니다.
보고서 구매의 주요 이점
- 이 보고서는 시장 선도 기업/신규 진입 기업들에게 자율주행을 위한 고정밀지도(HD Maps) 시장 전체 및 하위 부문의 매출 추정치에 대한 정보를 제공하는 데 도움이 될 것입니다.
- 이 보고서는 이해관계자들이 경쟁 환경을 이해하고, 사업 입지를 강화하고 적절한 시장 진출 전략을 수립하는 데 필요한 통찰력을 얻는 데 도움이 될 것입니다.
- 이 보고서는 이해관계자들이 시장 동향을 파악하고 주요 시장 동인, 제약, 과제 및 기회에 대한 정보를 제공하는 데 도움이 될 것입니다.
The HD maps for autonomous driving market is projected to grow from USD 1.09 billion in 2025 to USD 2.19 billion by 2032, at a CAGR of 10.5%.
The HD maps for autonomous driving market is growing with the rise of semantic mapping, where maps show roads and interpret objects, such as traffic lights, crosswalks, and lane markings for contextual awareness. Another emerging trend is the use of blockchain and secure data-sharing frameworks to ensure reliability and trust in map updates across fleets. In addition, energy-efficient mapping techniques are gaining attention to reduce the computational load on autonomous vehicles while maintaining accuracy. Data for HD maps is typically collected through fleets of sensor-equipped vehicles using LiDAR, cameras, GPS, and radar, which continuously capture and update detailed road and environment information. This crowdsourced and sensor-fusion approach ensures maps remain precise and up to date for autonomous driving. All these factors are boosting the growth of the HD maps for autonomous driving market.
The embedded segment is projected to account for a significant share during the forecast period.
By solution type, the embedded segment is projected to account for a significant share during the forecast period. Embedded solutions offer real-time, high-precision localization and navigation directly within a vehicle’s onboard systems, processing mapping data locally to reduce latency and enable faster response times critical for safety in dynamic driving environments. These systems operate independently of cloud connectivity, providing enhanced reliability and resilience, especially in areas with limited or no network coverage. By seamlessly integrating real-time data from sensors and vehicle-to-everything (V2X) communication, embedded solutions ensure that HD maps remain current and accurate, supporting the continuous updates required by autonomous vehicles. The growing complexity of urban infrastructure and the need for detailed environmental understanding further drive the demand for sophisticated embedded mapping systems capable of handling intricate road geometries and traffic scenarios. With advancements in semiconductor technology and sensor fusion algorithms, these systems are becoming increasingly cost-effective and efficient.
Companies such as HERE (Netherlands), Baidu Inc. (China), Hyundai Autoever Corporation (South Korea), and Mapbox (US) offer embedded HD Map solutions. The Volvo EX90 and Polestar 3 were among the first to feature Google’s embedded HD maps to improve driver assistance. NIO also provides an offline mode for its HD maps in the Navigation on Pilot system of the NIO ET7, allowing use in areas with weak or no internet connection. Similarly, BMW’s Personal Pilot Level 2+ system uses HERE Technologies’ embedded HD maps to enable “on-map” driving.
The autonomous vehicles segment is projected to grow at a significant rate during the forecast period.
By level of automation, the autonomous vehicles segment is projected to grow at a significant rate during the forecast period. The growth of HD maps in autonomous vehicles, including Level 4 and Level 5 autonomy, is driven by major advancements in AI, HD mapping, LiDAR, and sensor fusion, making fully autonomous driving possible without human input. Increasing investments in robotaxis, autonomous shuttles, and logistics fleets, supported by government smart mobility programs, are speeding up large-scale adoption. The launch of commercial robotaxi services by companies such as Waymo, Uber, and Baidu Apollo in selected urban areas further boosts the market. These players use HD maps to provide centimeter-level localization, detailed road understanding, and real-time navigation for safe autonomous driving. This helps them improve ride reliability, enhance passenger safety, and ensure smooth operation in complex urban environments.
In September 2025, Uber Technologies (China) and Momenta (China) plan to begin testing Level 4 autonomous robotaxi services in Munich, Germany. Similarly, in August 2025, Kia partnered with Autonomous A2Z to develop Level 4 self-driving cars using Kia’s PBV (Platform Beyond Vehicle) system, with plans to showcase these vehicles at the 2025 Asia Pacific Economic Cooperation summit in Gyeongju, South Korea. In addition, the use of autonomous driving in freight and delivery operations helps lower costs and tackle driver shortages, creating more opportunities for HD maps.
“Europe is projected to grow at the highest rate during the forecast period.”
Europe is projected to grow at the highest rate in the HD maps for autonomous driving market during the forecast period. The demand for HD maps in Europe will be driven by stringent EU safety regulations, the expansion of Level 2+ and Level 3 semi-autonomous driving features in premium vehicles, and strong government backing for smart mobility and connected infrastructure. Growing autonomous trials in urban mobility further accelerate adoption.
Companies such as HERE (Netherlands), TomTom International BV (Netherlands), and Navmii (UK) provide HD maps for autonomous driving vehicles in Europe. In August 2025, HERE partnered with DAF Trucks N.V. in the EU co-funded MODI Project to advance and test Level 4 automated freight transport across Europe. In this project, DAF contributes its expertise in commercial vehicles. At the same time, HERE provides its High-Definition Live Map (HDLM), which functions as an external sensor, with data collected from DAF’s sensor-equipped automated trucks feeding into HERE’s platform to keep the maps continuously updated for safe and reliable operations. Likewise, in April 2025, HERE signed an MoU with Lotus Robotics, the intelligent driving division of Lotus Technology, to develop an advanced Highway Navigation Pilot that delivers Level 2+ (L2+) automated driving functions. The partnership combined Lotus’s sensor perception stack with HERE’s high-precision maps to enable safer, more advanced driving features, including hands-off driving in certain conditions. The solution, planned for European approval in 2025, will be used in future Lotus vehicles and offered to other automakers.
In-depth interviews were conducted with CEOs, marketing directors, other innovation and technology directors, and executives from various key organizations operating in this market.
- By Company Type: OEM – 8%, Tier I – 74%, and Tier 2/3 – 8%
- By Designation: CXOs – 36%, Managers – 51%, and Executives – 13%
- By Region: North America – 24%, Europe – 30%, Asia Pacific – 38%, and ROW – 8%
The HD maps for autonomous driving market is dominated by major players, including HERE (Netherlands), Baidu, Inc. (China), TomTom International BV (Netherlands), NVIDIA Corporation (US), and Mobileye (Israel). These companies offer highly detailed, lane-level HD maps with real-time updates to support autonomous driving and ADAS. They also provide value-added services, such as dynamic map layers (traffic, road conditions, and weather), cloud-based map delivery platforms, crowdsourced data integration, sensor fusion solutions, and software tools for path planning, localization, and navigation.
Research Coverage
The report covers the HD maps for autonomous driving market by service type (mapping & localization, update & maintenance, and advertisement), vehicle type (passenger car and commercial vehicle), solution type (embedded and cloud-based), usage type, level of automation, and region. It covers the major HD maps’ competitive landscape and company profiles for autonomous driving market ecosystem players.
The study also includes an in-depth competitive analysis of the key market players, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
- The report will help market leaders/new entrants with information on the closest approximations of revenue numbers for the overall HD maps for autonomous driving market and its subsegments.
- This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies.
- The report will help stakeholders understand the market pulse and provide information on key market drivers, restraints, challenges, and opportunities.
The Report Provides Insight into the Following Pointers:
- Analysis of key drivers (Rising penetration of autonomous vehicles in the global mobility ecosystem, focus on leveraging next-gen mapping and data collection for enhanced navigation, emergence of autonomous urban mobility applications, increasing adoption of L2 and L3 ADAS-equipped vehicles), restraints (lack of global standardization, less reliability in untested environments), opportunities (integration with traffic and infrastructure systems for optimized urban navigation, map-as-a-service enabling scalable and flexible adoption, adoption in emerging markets with 5G expansion), and challenges (high cost of development and maintenance, complex real-time merging of multi-sensor data, dependence on high-bandwidth networks and advanced edge computing infrastructure).
- Product Development/Innovation: Detailed insights into upcoming technologies and research & development activities in the HD maps for autonomous driving market
- Market Development: Comprehensive information about lucrative markets across varied regions
- Market Diversification: Exhaustive information about untapped geographies, recent developments, and investments in the HD maps for autonomous driving market
- Competitive Assessment: In-depth assessment of market share, growth strategies, and product offerings of leading players, such as HERE (Netherlands), Baidu, Inc. (China), TomTom International BV (Netherlands), NVIDIA Corporation (US), and Mobileye (Israel) in the HD maps for autonomous driving market
Table of Contents
1 INTRODUCTION 24
1.1 STUDY OBJECTIVES 24
1.2 MARKET DEFINITION 25
1.3 STUDY SCOPE 27
1.3.1 MARKET SEGMENTATION AND REGIONAL SCOPE 27
1.3.2 INCLUSIONS & EXCLUSIONS 27
1.4 YEARS CONSIDERED 28
1.5 CURRENCY CONSIDERED 28
1.6 UNIT CONSIDERED 29
1.7 STAKEHOLDERS 29
1.8 SUMMARY OF STRATEGIC CHANGES 30
2 RESEARCH METHODOLOGY 31
2.1 RESEARCH DATA 31
2.1.1 SECONDARY DATA 32
2.1.1.1 Key secondary sources 33
2.1.1.2 Key data from secondary sources 34
2.1.2 PRIMARY DATA 34
2.1.2.1 Key data from primary sources 35
2.1.2.2 Key primary participants 35
2.1.2.3 Breakdown of primary interviews 35
2.1.2.4 Key industry insights 36
2.1.2.5 Primary interviewees 36
2.2 MARKET SIZE ESTIMATION 37
2.2.1 TOP-DOWN APPROACH 37
2.2.2 BASE NUMBER CALCULATION 38
2.2.3 MARKET FORECAST APPROACH 39
2.2.3.1 Supply side 39
2.2.3.2 Demand side 39
2.3 DATA TRIANGULATION 40
2.4 FACTOR ANALYSIS 41
2.5 RESEARCH ASSUMPTIONS 41
2.6 RESEARCH LIMITATIONS 42
2.7 RISK ASSESSMENT 43
3 EXECUTIVE SUMMARY 44
3.1 KEY INSIGHTS AND MARKET HIGHLIGHTS 44
3.2 KEY MARKET PARTICIPANTS: INSIGHTS AND STRATEGIC DEVELOPMENTS 45
3.3 DISRUPTIVE TRENDS SHAPING MARKET 46
3.4 HIGH-GROWTH SEGMENTS & EMERGING FRONTIERS 47
3.5 SNAPSHOT: GLOBAL MARKET SIZE, GROWTH RATE, AND FORECAST 48
4 PREMIUM INSIGHTS 49
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN HD MAPS FOR AUTONOMOUS
DRIVING MARKET 49
4.2 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY SERVICE TYPE 49
4.3 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY VEHICLE TYPE 50
4.4 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY SOLUTION TYPE 50
4.5 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY LEVEL OF AUTOMATION 51
4.6 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY USAGE TYPE 51
4.7 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY REGION 52
5 MARKET OVERVIEW 53
5.1 INTRODUCTION 53
5.2 MARKET DYNAMICS 54
5.2.1 DRIVERS 54
5.2.1.1 Rising penetration of autonomous vehicles into global mobility ecosystem 54
5.2.1.2 Focus on leveraging next-gen mapping and data collection for enhanced navigation 55
5.2.1.3 Emergence of autonomous urban mobility applications 56
5.2.1.4 Increasing adoption of L2 and L3 ADAS-equipped vehicles 56
5.2.2 RESTRAINTS 57
5.2.2.1 Lack of global standardization 57
5.2.2.2 Less reliability in untested environments 57
5.2.3 OPPORTUNITIES 58
5.2.3.1 Integration with traffic and infrastructure systems for optimized urban navigation 58
5.2.3.2 Map-as-a-service enabling scalable and flexible adoption 58
5.2.3.3 Adoption in emerging markets with 5G expansion 59
5.2.4 CHALLENGES 60
5.2.4.1 High cost of development and maintenance 60
5.2.4.2 Complex real-time merging of multi-sensor data 60
5.2.4.3 Dependence on high-bandwidth networks and advanced edge computing infrastructure 60
6 INDUSTRY TRENDS 61
6.1 MACROECONOMIC INDICATORS 61
6.1.1 INTRODUCTION 61
6.1.2 GDP TRENDS AND FORECAST 61
6.1.3 TRENDS IN GLOBAL AUTONOMOUS DRIVING INDUSTRY 62
6.1.4 TRENDS IN GLOBAL AUTOMOTIVE & TRANSPORTATION INDUSTRY 62
6.2 ECOSYSTEM ANALYSIS 63
6.2.1 HD MAP PROVIDERS 64
6.2.2 AUTONOMOUS DRIVING SOFTWARE/PLATFORM PROVIDERS 64
6.2.3 CLOUD INFRASTRUCTURE PROVIDERS 64
6.2.4 SENSOR PROVIDERS 64
6.2.5 TELEMATICS & CONNECTIVITY PROVIDERS 64
6.2.6 OEMS 64
6.2.7 FLEET OPERATORS/MOBILITY PROVIDERS 64
6.3 SUPPLY CHAIN ANALYSIS 66
6.4 PRICING ANALYSIS 68
6.4.1 INDICATIVE PRICING OF AUTONOMOUS DRIVING SOFTWARE SUITE OFFERED BY KEY PLAYERS 68
6.4.2 AVERAGE SELLING PRICE TREND, BY REGION 69
6.5 KEY STAKEHOLDERS & BUYING CRITERIA 72
6.5.1 KEY STAKEHOLDERS IN BUYING PROCESS 72
6.5.2 BUYING CRITERIA 72
6.5.3 ADOPTION BARRIERS & INTERNAL CHALLENGES 74
6.5.4 MARKET PROFITABILITY 74
6.5.4.1 Revenue potential 74
6.5.4.2 Cost dynamics 74
6.5.4.3 Margin opportunities, by application 74
6.5.5 DECISION-MAKING PROCESS 75
6.6 CASE STUDY ANALYSIS 76
6.6.1 MERCEDES-BENZ INTEGRATED HERE’S HD LIVE MAP INTO ITS DRIVE PILOT SYSTEM 76
6.6.2 INTELLIAS CONCEPTUALIZED, DEVELOPED, AND SCALED CLOUD-BASED HD MAPPING AND LOCATION DATA PLATFORM FOR AUTONOMOUS DRIVING 76
6.6.3 MAGNASOFT DEPLOYED AI-DRIVEN CONTINUOUS IMPROVEMENT PROCESSES THAT ENABLED REAL-TIME DETECTION OF CHANGES IN TRAFFIC PATTERNS AND ROAD CONDITIONS 77
6.6.4 INFOSYS DEPLOYED MULTI-SOURCE HD MAPPING SOLUTION SPECIFICALLY DESIGNED FOR ADAS IN URBAN ENVIRONMENTS 78
6.7 INVESTMENT & FUNDING SCENARIO 78
6.8 STRATEGIC OUTLOOK AND GROWTH OPPORTUNITIES 80
6.8.1 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES 80
6.8.1.1 Interconnected markets 80
6.8.1.2 Cross-sector opportunities 80
6.8.2 STRATEGIC MOVES BY OEMS AND TIER-1 & TIER-2/3 PLAYERS 81
6.9 TRADE ANALYSIS 82
6.9.1 IMPORT SCENARIO (HS CODE 852691) 82
6.9.2 EXPORT SCENARIO (HS CODE 852691) 83
6.10 KEY CONFERENCES & EVENTS, 2025–2026 85
6.11 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 86
6.12 REGULATORY LANDSCAPE 86
6.12.1 REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 87
6.12.2 KEY REGULATIONS 90
6.12.3 REGULATIONS GOVERNING AUTONOMOUS VEHICLE USAGE, BY COUNTRY 94
6.13 PATENT ANALYSIS 95
6.13.1 INTRODUCTION 95
6.13.2 METHODOLOGY 95
6.13.3 DOCUMENT TYPE 95
6.13.4 INSIGHTS 96
6.13.5 LEGAL STATUS OF PATENTS 97
6.13.6 JURISDICTION ANALYSIS 97
6.13.7 TOP PATENT APPLICANTS 98
6.13.8 LIST OF PATENTS 98
6.14 IMPACT OF GENERATIVE AI ON HD MAPS FOR AUTONOMOUS DRIVING MARKET 100
6.14.1 ACCELERATED MAP CREATION AND UPDATES 100
6.14.2 ENHANCED LOCALIZATION ACCURACY 100
6.14.3 COST REDUCTION THROUGH SYNTHETIC DATA 101
6.14.4 DYNAMIC MAP PERSONALIZATION 101
6.15 HYBRID MAPPING STRATEGIES FOR ENHANCING ADAS DEVELOPMENT 101
6.16 IMPACT OF MAPLESS AUTONOMY CONCEPT ON HD MAPS 102
6.17 EVOLVING BUSINESS MODELS FOR HD MAPPING IN AUTONOMOUS MOBILITY 102
6.17.1 LICENSING AND SUBSCRIPTION-BASED MODEL 102
6.17.2 CROWDSOURCED MAPPING AND DATA-AS-A-SERVICE (DAAS) 103
6.17.3 PAY-PER-USE MODEL 103
6.18 MNM INSIGHTS ON KEY INDUSTRY SOLUTIONS FOR LOCALIZATION 104
6.18.1 GNSS AND AUGMENTED POSITIONING 104
6.18.2 HD MAP-BASED LOCALIZATION 104
6.18.3 LIDAR AND CAMERA-BASED LOCALIZATION 104
6.18.4 SENSOR FUSION 105
6.18.5 V2X-ENABLED COOPERATIVE LOCALIZATION 105
6.19 HD MAP DATA FORMATS AND STANDARDIZATION LANDSCAPE 105
6.19.1 CORE COMPONENTS OF HD MAP DATA 105
6.19.1.1 Geometric layer 105
6.19.1.2 Semantic layer 105
6.19.1.3 Localization layer 105
6.19.1.4 Dynamic/Update layer 105
6.19.2 KEY STANDARDS AND FORMATS 106
6.20 PHASED ADOPTION STRATEGY OF HD MAPS IN AV ECOSYSTEM 106
6.20.1 ASSISTED DRIVING & PILOT DEPLOYMENTS 106
6.20.2 LIMITED AUTONOMY IN CONTROLLED ENVIRONMENTS 106
6.20.3 EXPANDED COVERAGE & REAL-TIME UPDATES 107
6.20.4 FULL AUTONOMY & ECOSYSTEM INTEGRATION 107
6.21 KEY EMERGING TECHNOLOGIES 107
6.21.1 INTRODUCTION 107
6.21.2 MULTI-SENSOR FUSION FOR HIGH PRECISION HD MAPPING WITH LIDAR, RADAR, AND CAMERAS 107
6.21.3 SLAM (SIMULTANEOUS LOCALIZATION AND MAPPING) IN HD MAPS FOR AUTONOMOUS DRIVING 108
6.21.4 5G CONNECTIVITY AND VEHICLE-TO-EVERYTHING (V2X) TECHNOLOGY FOR AUTONOMOUS DRIVING 109
6.22 COMPLEMENTARY TECHNOLOGIES 110
6.22.1 SECURING AND VALIDATING HD MAPS WITH BLOCKCHAIN 110
6.22.2 ENHANCING HD MAPS WITH MACHINE LEARNING (ML)-POWERED ANALYTICS 110
6.23 TECHNOLOGY/PRODUCT ROADMAP 111
6.23.1 SHORT-TERM (2025–2027) | FOUNDATION & EARLY COMMERCIALIZATION 111
6.23.2 MID-TERM (2028–2030) | EXPANSION & STANDARDIZATION 111
6.23.3 LONG-TERM (2031–2035+) | MASS COMMERCIALIZATION & DISRUPTION 112
6.24 HD MAPPING SERVICE PROVIDERS: COMPETITIVE LANDSCAPE 113
6.25 COMPARATIVE ANALYSIS OF OEM HD MAPPING SOLUTIONS 115
6.26 FUTURE APPLICATIONS OF HD MAPS 117
6.27 SUCCESS STORIES AND REAL-WORLD APPLICATIONS 118
6.27.1 WAYMO’S COMMERCIAL ROBOTAXI OPERATIONS IN US 118
6.27.2 MOBILEYE REM: CROWDSOURCED HD MAPPING ACROSS EUROPE 118
6.27.3 BAIDU APOLLO GO: CHINA’S ROBOTAXI EXPANSION 118
7 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY LEVEL OF AUTOMATION 119
7.1 INTRODUCTION 120
7.2 SEMI-AUTONOMOUS VEHICLE 121
7.2.1 GROWING DEMAND FOR ADVANCED ADAS-EQUIPPED VEHICLES TO DRIVE MARKET 121
7.2.2 LEVEL 2 123
7.2.3 LEVEL 3 123
7.3 AUTONOMOUS VEHICLE 123
7.3.1 RISING USE OF AUTONOMOUS DRIVING VEHICLES IN URBAN MOBILITY OPERATIONS TO DRIVE DEMAND 123
7.3.2 LEVEL 4 125
7.3.3 LEVEL 5 125
7.4 KEY PRIMARY INSIGHTS 125
8 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY SERVICE TYPE 126
8.1 INTRODUCTION 127
8.2 MAPPING & LOCALIZATION 128
8.2.1 INTEGRATION OF AI, 5G, AND CROWDSOURCED DATA IN HD MAPS TO DRIVE MARKET 128
8.3 UPDATE & MAINTENANCE 129
8.3.1 RISING NEED FOR REAL-TIME HD MAP UPDATES AND PREDICTIVE MAINTENANCE TO DRIVE MARKET 129
8.4 ADVERTISEMENT 131
8.5 KEY PRIMARY INSIGHTS 131
9 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY SOLUTION TYPE 132
9.1 INTRODUCTION 133
9.2 EMBEDDED 134
9.2.1 DEMAND FOR ONBOARD MAPPING AND SENSOR FUSION TECHNOLOGIES TO DRIVE MARKET 134
9.3 CLOUD-BASED 135
9.3.1 FOCUS ON ADOPTING SCALABLE CLOUD PLATFORMS FOR AUTONOMOUS NAVIGATION TO DRIVE MARKET 135
9.4 KEY PRIMARY INSIGHTS 136
10 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY USAGE TYPE 137
10.1 INTRODUCTION 138
10.2 PERSONAL MOBILITY 139
10.2.1 RISING DEMAND FOR ADAS-EQUIPPED PASSENGER CARS TO DRIVE MARKET 139
10.3 COMMERCIAL MOBILITY 140
10.3.1 GROWING REGULATORY EMPHASIS ON APPROVALS FOR AUTONOMOUS VEHICLE TESTING TO DRIVE MARKET 140
10.4 KEY PRIMARY INSIGHTS 141
11 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY VEHICLE TYPE 142
11.1 INTRODUCTION 143
11.2 PASSENGER CAR 144
11.2.1 POPULARITY OF CONNECTED-CAR ECOSYSTEMS EQUIPPED WITH REAL-TIME MAPPING TO DRIVE MARKET 144
11.3 COMMERCIAL VEHICLE 146
11.3.1 AUTONOMOUS FLEET NAVIGATION AND PREDICTIVE ROUTING TO DRIVE MARKET 146
11.4 KEY PRIMARY INSIGHTS 147
12 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY REGION 148
12.1 INTRODUCTION 149
12.2 ASIA PACIFIC 150
12.2.1 MACROECONOMIC OUTLOOK 154
12.2.2 CHINA 157
12.2.2.1 High production of vehicles and favourable investment norms to drive growth 157
12.2.3 INDIA 158
12.2.3.1 Increased focus on emission-friendly vehicles and vehicle safety regulations to drive market 158
12.2.4 JAPAN 158
12.2.4.1 Increased sales of mid-range cars to drive market 158
12.2.5 SOUTH KOREA 159
12.2.5.1 Rapid integration of HD maps into autonomous vehicle technologies to boost growth 159
12.3 EUROPE 159
12.3.1 MACROECONOMIC OUTLOOK 162
12.3.2 GERMANY 166
12.3.2.1 Increased production of passenger cars to drive market 166
12.3.3 FRANCE 166
12.3.3.1 Need for improving road safety through advanced ADAS features to drive market 166
12.3.4 ITALY 167
12.3.4.1 Presence of major OEMs to drive advancements in HD map technology 167
12.3.5 SPAIN 167
12.3.5.1 Rise in government initiatives for advanced automotive systems to drive market 167
12.3.6 UK 168
12.3.6.1 Rising automotive output in country to spur demand for HD maps 168
12.4 NORTH AMERICA 168
12.4.1 MACROECONOMIC OUTLOOK 172
12.4.2 US 174
12.4.2.1 Rising investments by OEMs in emerging megatrends to drive market 174
12.4.3 CANADA 175
12.4.3.1 Heightened awareness of consumers regarding vehicle safety to drive adoption of HD maps 175
12.5 REST OF THE WORLD (ROW) 175
12.5.1 MACROECONOMIC OUTLOOK 178
12.5.2 BRAZIL 181
12.5.2.1 Collaboration between autonomous driving companies and other tech companies to boost growth 181
12.5.3 SOUTH AFRICA 181
12.5.3.1 Rapid growth of automotive sector and rising number of vehicle manufacturers to drive demand 181
12.5.4 RUSSIA 181
12.5.4.1 Changing market dynamics aligned with rising production of autonomous vehicles to drive growth 181
12.5.5 SAUDI ARABIA 182
12.5.5.1 Rising domestic demand for vehicles and support of government-backed initiatives to boost growth 182
12.5.6 UAE 182
12.5.6.1 Rapid investments in electric and autonomous vehicle infrastructure to boost growth 182
13 COMPETITIVE LANDSCAPE 183
13.1 OVERVIEW 183
13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN 183
13.3 MARKET SHARE ANALYSIS, 2024 184
13.4 REVENUE ANALYSIS OF TOP FIVE PLAYERS, 2020–2024 187
13.5 COMPANY VALUATION AND FINANCIAL METRICS 187
13.5.1 COMPANY VALUATION 187
13.5.2 FINANCIAL METRICS 188
13.6 BRAND/PRODUCT COMPARISON 189
13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024 190
13.7.1 STARS 190
13.7.2 EMERGING LEADERS 190
13.7.3 PERVASIVE PLAYERS 190
13.7.4 PARTICIPANTS 190
13.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024 192
13.7.5.1 Company footprint 192
13.7.5.2 Region footprint 193
13.7.5.3 Usage type footprint 193
13.7.5.4 Vehicle type footprint 194
13.7.5.5 Level of automation footprint 194
13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024 195
13.8.1 PROGRESSIVE COMPANIES 195
13.8.2 RESPONSIVE COMPANIES 195
13.8.3 DYNAMIC COMPANIES 195
13.8.4 STARTING BLOCKS 195
13.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024 197
13.8.5.1 Detailed list of startups/SMEs 197
13.8.5.2 Competitive benchmarking of startups/SMEs 197
13.9 COMPETITIVE SCENARIO 198
13.9.1 PRODUCT/SERVICE LAUNCHES/DEVELOPMENTS 198
13.9.2 DEALS 198
13.9.3 EXPANSION 202
13.9.4 OTHER DEVELOPMENTS 203
14 COMPANY PROFILES 204
14.1 KEY PLAYERS 204
14.1.1 HERE 204
14.1.1.1 Business overview 204
14.1.1.2 Products/Solutions/Services offered 206
14.1.1.3 Recent developments 206
14.1.1.3.1 Deals 206
14.1.1.3.2 Other developments 209
14.1.1.4 MnM view 209
14.1.1.4.1 Key strengths 209
14.1.1.4.2 Strategic choices 209
14.1.1.4.3 Weaknesses and competitive threats 209
14.1.2 BAIDU INC. 210
14.1.2.1 Business overview 210
14.1.2.2 Products/Solutions/Services offered 211
14.1.2.3 Recent developments 211
14.1.2.3.1 Deals 211
14.1.2.4 MnM view 212
14.1.2.4.1 Key strengths 212
14.1.2.4.2 Strategic choices 212
14.1.2.4.3 Weaknesses and competitive threats 212
14.1.3 TOMTOM INTERNATIONAL BV 213
14.1.3.1 Business overview 213
14.1.3.2 Products/Solutions/Services offered 214
14.1.3.3 Recent developments 215
14.1.3.3.1 Product/Service launches/developments 215
14.1.3.3.2 Deals 215
14.1.3.4 MnM view 216
14.1.3.4.1 Key strengths 216
14.1.3.4.2 Strategic choices 216
14.1.3.4.3 Weaknesses and competitive threats 216
14.1.4 NVIDIA CORPORATION 217
14.1.4.1 Business overview 217
14.1.4.2 Products/Solutions/Services offered 218
14.1.4.3 MnM view 219
14.1.4.3.1 Key strengths 219
14.1.4.3.2 Strategic choices 219
14.1.4.3.3 Weaknesses and competitive threats 219
14.1.5 MOBILEYE 220
14.1.5.1 Business overview 220
14.1.5.2 Products/Solutions/Services offered 222
14.1.5.3 Recent developments 222
14.1.5.3.1 Deals 222
14.1.5.3.2 Other developments 223
14.1.5.4 MnM view 223
14.1.5.4.1 Key strengths 223
14.1.5.4.2 Strategic choices 223
14.1.5.4.3 Weaknesses and competitive threats 223
14.1.6 WAYMO LLC 224
14.1.6.1 Business overview 224
14.1.6.2 Products/Solutions/Services offered 225
14.1.6.3 Recent developments 225
14.1.6.3.1 Deals 225
14.1.7 DYNAMIC MAP PLATFORM CO., LTD. 226
14.1.7.1 Business overview 226
14.1.7.2 Products/Solutions/Services offered 227
14.1.7.3 Recent developments 228
14.1.7.3.1 Product/Service launches/developments 228
14.1.7.3.2 Deals 228
14.1.7.3.3 Expansion 229
14.1.7.3.4 Other developments 229
14.1.8 NAVINFO CO., LTD. 230
14.1.8.1 Business overview 230
14.1.8.2 Products/Solutions/Services offered 231
14.1.8.3 Recent developments 231
14.1.8.3.1 Deals 231
14.1.8.3.2 Other developments 232
14.1.9 LUMINAR TECHNOLOGIES, INC. 233
14.1.9.1 Business overview 233
14.1.9.2 Products/Solutions/Services offered 234
14.1.10 THE SANBORN MAP COMPANY, INC. 235
14.1.10.1 Business overview 235
14.1.10.2 Products/Solutions/Services offered 236
14.1.11 MOMENTA 237
14.1.11.1 Business overview 237
14.1.11.2 Products/Solutions/Services offered 237
14.1.12 MAPBOX 238
14.1.12.1 Business overview 238
14.1.12.2 Products/Solutions/Services offered 239
14.1.12.3 Recent developments 239
14.1.12.3.1 Product/Service launches/developments 239
14.1.12.3.2 Deals 240
14.2 OTHER PLAYERS 241
14.2.1 CE INFO SYSTEMS LTD. 241
14.2.2 NAVMII 242
14.2.3 RMSI 243
14.2.4 ZENRIN CO., LTD. 244
14.2.5 WOVEN BY TOYOTA, INC. 245
14.2.6 SWIFT NAVIGATION, INC. 246
14.2.7 IMERIT 247
14.2.8 VOXELMAPS 248
14.2.9 HYUNDAI AUTOEVER CORP. 249
14.2.10 GENESYS INTERNATIONAL CORPORATION LTD 250
14.2.11 GEOMATE 251
14.2.12 INTELLIAS 252
14.2.13 MORAI INC. 253
15 APPENDIX 254
15.1 DISCUSSION GUIDE 254
15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 256
15.3 CUSTOMIZATION OPTIONS 258
15.3.1 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY VEHICLE TYPE,
AT COUNTRY LEVEL 258
15.3.2 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY SOLUTION TYPE,
AT COUNTRY LEVEL 258
15.3.3 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY SERVICE TYPE,
AT COUNTRY LEVEL 258
15.3.4 COMPANY INFORMATION 258
15.3.4.1 Profiling of additional market players (up to five) 258
15.4 RELATED REPORTS 258
15.5 AUTHOR DETAILS 259
LIST OF TABLES
TABLE 1 HD MAPS FOR AUTONOMOUS DRIVING MARKET DEFINITION, BY SERVICE TYPE 25
TABLE 2 HD MAPS FOR AUTONOMOUS DRIVING MARKET DEFINITION,
BY LEVEL OF AUTOMATION 26
TABLE 3 HD MAPS FOR AUTONOMOUS DRIVING MARKET DEFINITION, BY SOLUTION TYPE 26
TABLE 4 HD MAPS FOR AUTONOMOUS DRIVING MARKET DEFINITION, BY VEHICLE TYPE 26
TABLE 5 HD MAPS FOR AUTONOMOUS DRIVING MARKET DEFINITION, BY USAGE TYPE 26
TABLE 6 INCLUSIONS & EXCLUSIONS 27
TABLE 7 CURRENCY EXCHANGE RATES, 2019–2024 28
TABLE 8 OEMS OFFERING HD MAPS IN L2/L3 VEHICLES 56
TABLE 9 GDP PERCENTAGE CHANGE, BY COUNTRY, 2021–2030 61
TABLE 10 ROLE OF PLAYERS IN MARKET ECOSYSTEM 65
TABLE 11 INDICATIVE PRICING OF L2+/L3 AUTONOMOUS DRIVING SOFTWARE SUITE OFFERED BY KEY PLAYERS, 2024 (USD) 68
TABLE 12 AVERAGE SELLING PRICE TREND OF AUTONOMOUS DRIVING SOFTWARE SUITE FOR L2+ AUTONOMY, BY REGION, 2022–2024 (USD) 69
TABLE 13 AVERAGE SELLING PRICE TREND OF AUTONOMOUS DRIVING SOFTWARE SUITE FOR L3 AUTONOMY, BY REGION, 2022–2024 (USD) 70
TABLE 14 AVERAGE SELLING PRICE TREND OF AUTONOMOUS DRIVING SOFTWARE SUITE FOR L4 AUTONOMY, BY REGION, 2022–2024 (USD) 71
TABLE 15 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR VEHICLE TYPES 72
TABLE 16 KEY BUYING CRITERIA, BY VEHICLE TYPE 73
TABLE 17 FUNDING DETAILS, 2022–2025 79
TABLE 18 STRATEGIC MOVES BY OEMS AND TIER-1 & TIER-2/3 PLAYERS 81
TABLE 19 IMPORT DATA FOR HS CODE 852691-COMPLIANT PRODUCTS,
BY COUNTRY, 2021–2024 (USD MILLION) 82
TABLE 20 EXPORT DATA FOR HS CODE 852691-COMPLIANT PRODUCTS,
BY COUNTRY, 2021–2024 (USD MILLION) 83
TABLE 21 KEY CONFERENCES & EVENTS, 2025–2026 85
TABLE 22 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 87
TABLE 23 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 88
TABLE 24 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 89
TABLE 25 REGULATIONS FOR HD MAPS, BY COUNTRY 90
TABLE 26 REGULATIONS AND INITIATIVES FOR ADAS 91
TABLE 27 NCAP REGULATIONS 93
TABLE 28 PATENTS GRANTED, JANUARY 2015–DECEMBER 2024 96
TABLE 29 PATENT REGISTRATIONS, 2022–2024 98
TABLE 30 STANDARDS AND FORMATS OF HD MAPS 106
TABLE 31 COMPARISON BETWEEN LIDAR, CAMERA, AND RADAR SENSORS 108
TABLE 32 LOCATION ACCURACY BY 3GPP RELEASE 110
TABLE 33 HD MAPPING SERVICE PROVIDERS: COMPETITIVE LANDSCAPE (1/2) 113
TABLE 34 HD MAPPING SERVICE PROVIDERS: COMPETITIVE LANDSCAPE (2/2) 114
TABLE 35 COMPARATIVE ANALYSIS OF HD MAPPING SOLUTIONS, BY KEY OEM (1/2) 115
TABLE 36 COMPARATIVE ANALYSIS OF HD MAPPING SOLUTIONS, BY KEY OEM (2/2) 116
TABLE 37 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY LEVEL OF AUTOMATION, 2021–2024 (USD MILLION) 120
TABLE 38 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY LEVEL OF AUTOMATION, 2025–2032 (USD MILLION) 121
TABLE 39 SEMI-AUTONOMOUS VEHICLE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY AUTOMATION LEVEL, 2021–2024 (USD MILLION) 121
TABLE 40 SEMI-AUTONOMOUS VEHICLE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY AUTOMATION LEVEL, 2025–2032 (USD MILLION) 122
TABLE 41 SEMI-AUTONOMOUS VEHICLE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2021–2024 (USD MILLION) 122
TABLE 42 SEMI-AUTONOMOUS VEHICLE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2025–2032 (USD MILLION) 122
TABLE 43 AUTONOMOUS VEHICLE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY AUTOMATION LEVEL, 2021–2024 (USD MILLION) 123
TABLE 44 AUTONOMOUS VEHICLE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY AUTOMATION LEVEL, 2025–2032 (USD MILLION) 124
TABLE 45 AUTONOMOUS VEHICLE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2021–2024 (USD MILLION) 124
TABLE 46 AUTONOMOUS VEHICLE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2025–2032 (USD MILLION) 124
TABLE 47 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY SERVICE TYPE,
2021–2024 (USD MILLION) 127
TABLE 48 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY SERVICE TYPE,
2025–2032 (USD MILLION) 128
TABLE 49 MAPPING & LOCALIZATION: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2021–2024 (USD MILLION) 129
TABLE 50 MAPPING & LOCALIZATION: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2025–2032 (USD MILLION) 129
TABLE 51 UPDATE & MAINTENANCE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2021–2024 (USD MILLION) 130
TABLE 52 UPDATE & MAINTENANCE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2025–2032 (USD MILLION) 130
TABLE 53 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY SOLUTION TYPE,
2021–2024 (USD MILLION) 133
TABLE 54 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY SOLUTION TYPE,
2025–2032 (USD MILLION) 133
TABLE 55 EMBEDDED: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2021–2024 (USD MILLION) 134
TABLE 56 EMBEDDED: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2025–2032 (USD MILLION) 135
TABLE 57 CLOUD-BASED: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2021–2024 (USD MILLION) 135
TABLE 58 CLOUD-BASED: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2025–2032 (USD MILLION) 136
TABLE 59 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY USAGE TYPE,
2021–2024 (USD MILLION) 138
TABLE 60 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY USAGE TYPE,
2025–2032 (USD MILLION) 139
TABLE 61 PERSONAL MOBILITY: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2021–2024 (USD MILLION) 139
TABLE 62 PERSONAL MOBILITY: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2025–2032 (USD MILLION) 140
TABLE 63 COMMERCIAL MOBILITY: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2021–2024 (USD MILLION) 140
TABLE 64 COMMERCIAL MOBILITY: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2025–2032 (USD MILLION) 141
TABLE 65 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY VEHICLE TYPE,
2021–2024 (USD MILLION) 143
TABLE 66 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY VEHICLE TYPE,
2025–2032 (USD MILLION) 144
TABLE 67 OEMS PROVIDING HD MAPS IN PASSENGER CARS 145
TABLE 68 PASSENGER CAR: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2021–2024 (USD MILLION) 145
TABLE 69 PASSENGER CAR: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2025–2032 (USD MILLION) 145
TABLE 70 COMMERCIAL VEHICLE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2021–2024 (USD MILLION) 146
TABLE 71 COMMERCIAL VEHICLE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY REGION, 2025–2032 (USD MILLION) 147
TABLE 72 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY REGION,
2021–2024 (USD MILLION) 149
TABLE 73 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY REGION,
2025–2032 (USD MILLION) 150
TABLE 74 ASIA PACIFIC: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY VEHICLE TYPE, 2021–2024 (USD MILLION) 151
TABLE 75 ASIA PACIFIC: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY VEHICLE TYPE, 2025–2032 (USD MILLION) 151
TABLE 76 ASIA PACIFIC: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY LEVEL OF AUTOMATION, 2021–2024 (USD MILLION) 152
TABLE 77 ASIA PACIFIC: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY LEVEL OF AUTOMATION, 2025–2032 (USD MILLION) 152
TABLE 78 ASIA PACIFIC: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY USAGE TYPE, 2021–2024 (USD MILLION) 152
TABLE 79 ASIA PACIFIC: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY USAGE TYPE, 2025–2032 (USD MILLION) 152
TABLE 80 ASIA PACIFIC: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY SOLUTION TYPE, 2021–2024 (USD MILLION) 153
TABLE 81 ASIA PACIFIC: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY SOLUTION TYPE, 2025–2032 (USD MILLION) 153
TABLE 82 ASIA PACIFIC: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY SERVICE TYPE, 2021–2024 (USD MILLION) 153
TABLE 83 ASIA PACIFIC: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY SERVICE TYPE, 2025–2032 (USD MILLION) 153
TABLE 84 KEY COMPANIES IN AUTONOMOUS VEHICLE TECHNOLOGY AND
THEIR PARTNERS IN CHINA 157
TABLE 85 EUROPE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY VEHICLE TYPE, 2021–2024 (USD MILLION) 160
TABLE 86 EUROPE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY VEHICLE TYPE, 2025–2032 (USD MILLION) 160
TABLE 87 EUROPE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY LEVEL OF AUTOMATION, 2021–2024 (USD MILLION) 160
TABLE 88 EUROPE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY LEVEL OF AUTOMATION, 2025–2032 (USD MILLION) 160
TABLE 89 EUROPE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY USAGE TYPE, 2021–2024 (USD MILLION) 161
TABLE 90 EUROPE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY USAGE TYPE, 2025–2032 (USD MILLION) 161
TABLE 91 EUROPE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY SOLUTION TYPE, 2021–2024 (USD MILLION) 161
TABLE 92 EUROPE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY SOLUTION TYPE, 2025–2032 (USD MILLION) 161
TABLE 93 EUROPE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY SERVICE TYPE, 2021–2024 (USD MILLION) 162
TABLE 94 EUROPE: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY SERVICE TYPE, 2025–2032 (USD MILLION) 162
TABLE 95 NORTH AMERICA: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY VEHICLE TYPE, 2021–2024 (USD MILLION) 169
TABLE 96 NORTH AMERICA: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY VEHICLE TYPE, 2025–2032 (USD MILLION) 169
TABLE 97 NORTH AMERICA: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY LEVEL OF AUTOMATION, 2021–2024 (USD MILLION) 170
TABLE 98 NORTH AMERICA: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY LEVEL OF AUTOMATION, 2025–2032 (USD MILLION) 170
TABLE 99 NORTH AMERICA: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY USAGE TYPE, 2021–2024 (USD MILLION) 170
TABLE 100 NORTH AMERICA: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY USAGE TYPE, 2025–2032 (USD MILLION) 170
TABLE 101 NORTH AMERICA: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY SOLUTION TYPE, 2021–2024 (USD MILLION) 171
TABLE 102 NORTH AMERICA: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY SOLUTION TYPE, 2025–2032 (USD MILLION) 171
TABLE 103 NORTH AMERICA: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY SERVICE TYPE, 2021–2024 (USD MILLION) 171
TABLE 104 NORTH AMERICA: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY SERVICE TYPE, 2025–2032 (USD MILLION) 171
TABLE 105 ROW: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY VEHICLE TYPE, 2021–2024 (USD MILLION) 176
TABLE 106 ROW: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY VEHICLE TYPE, 2025–2032 (USD MILLION) 176
TABLE 107 ROW: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY LEVEL OF AUTOMATION, 2021–2024 (USD MILLION) 176
TABLE 108 ROW: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY LEVEL OF AUTOMATION, 2025–2032 (USD MILLION) 176
TABLE 109 ROW: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY USAGE TYPE, 2021–2024 (USD MILLION) 177
TABLE 110 ROW: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY USAGE TYPE, 2025–2032 (USD MILLION) 177
TABLE 111 ROW: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY SOLUTION TYPE, 2021–2024 (USD MILLION) 177
TABLE 112 ROW: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY SOLUTION TYPE, 2025–2032 (USD MILLION) 177
TABLE 113 ROW: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY SERVICE TYPE, 2021–2024 (USD MILLION) 178
TABLE 114 ROW: HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY SERVICE TYPE, 2025–2032 (USD MILLION) 178
TABLE 115 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021–2024 183
TABLE 116 MARKET SHARE ANALYSIS OF TOP FIVE PLAYERS, 2024 184
TABLE 117 HD MAPS FOR AUTONOMOUS DRIVING MARKET: REGION FOOTPRINT, 2024 193
TABLE 118 HD MAPS FOR AUTONOMOUS DRIVING MARKET: USAGE TYPE FOOTPRINT, 2024 193
TABLE 119 HD MAPS FOR AUTONOMOUS DRIVING MARKET: VEHICLE TYPE FOOTPRINT, 2024 194
TABLE 120 HD MAPS FOR AUTONOMOUS DRIVING MARKET: LEVEL OF AUTOMATION FOOTPRINT, 2024 194
TABLE 121 DETAILED LIST OF KEY STARTUPS/SMES 197
TABLE 122 COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES 197
TABLE 123 HD MAPS FOR AUTONOMOUS DRIVING MARKET: PRODUCT/SERVICE LAUNCHES/DEVELOPMENTS, JANUARY 2021–AUGUST 2025 198
TABLE 124 HD MAPS FOR AUTONOMOUS DRIVING MARKET: DEALS,
JANUARY 2021–AUGUST 2025 198
TABLE 125 HD MAPS FOR AUTONOMOUS DRIVING MARKET: EXPANSION,
JANUARY 2021–AUGUST 2025 202
TABLE 126 HD MAPS FOR AUTONOMOUS DRIVING MARKET: OTHER DEVELOPMENTS, JANUARY 2021–AUGUST 2025 203
TABLE 127 HERE: COMPANY OVERVIEW 204
TABLE 128 HERE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 206
TABLE 129 HERE: DEALS 206
TABLE 130 HERE: OTHER DEVELOPMENTS 209
TABLE 131 BAIDU INC.: COMPANY OVERVIEW 210
TABLE 132 BAIDU INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 211
TABLE 133 BAIDU INC.: DEALS 211
TABLE 134 TOMTOM INTERNATIONAL BV: COMPANY OVERVIEW 213
TABLE 135 TOMTOM INTERNATIONAL BV: PRODUCTS/SOLUTIONS/SERVICES OFFERED 214
TABLE 136 TOMTOM INTERNATIONAL BV: PRODUCT/SERVICE LAUNCHES/DEVELOPMENTS 215
TABLE 137 TOMTOM INTERNATIONAL BV: DEALS 215
TABLE 138 NVIDIA CORPORATION: COMPANY OVERVIEW 217
TABLE 139 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED 218
TABLE 140 MOBILEYE: COMPANY OVERVIEW 220
TABLE 141 MOBILEYE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 222
TABLE 142 MOBILEYE: DEALS 222
TABLE 143 MOBILEYE: OTHER DEVELOPMENTS 223
TABLE 144 WAYMO LLC: COMPANY OVERVIEW 224
TABLE 145 WAYMO LLC: PRODUCTS/SOLUTIONS/SERVICES OFFERED 225
TABLE 146 WAYMO LLC: DEALS 225
TABLE 147 DYNAMIC MAP PLATFORM CO., LTD.: COMPANY OVERVIEW 226
TABLE 148 DYNAMIC MAP PLATFORM CO., LTD.: GROUP COMPANIES 227
TABLE 149 DYNAMIC MAP PLATFORM CO., LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 227
TABLE 150 DYNAMIC MAP PLATFORM CO., LTD.: PRODUCT/SERVICE LAUNCHES/DEVELOPMENTS 228
TABLE 151 DYNAMIC MAP PLATFORM CO., LTD.: DEALS 228
TABLE 152 DYNAMIC MAP PLATFORM CO., LTD.: EXPANSION 229
TABLE 153 DYNAMIC MAP PLATFORM CO., LTD.: OTHER DEVELOPMENTS 229
TABLE 154 NAVINFO CO., LTD.: COMPANY OVERVIEW 230
TABLE 155 NAVINFO CO., LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 231
TABLE 156 NAVINFO CO., LTD.: DEALS 231
TABLE 157 NAVINFO CO., LTD.: OTHER DEVELOPMENTS 232
TABLE 158 LUMINAR TECHNOLOGIES, INC.: COMPANY OVERVIEW 233
TABLE 159 LUMINAR TECHNOLOGIES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 234
TABLE 160 THE SANBORN MAP COMPANY, INC.: COMPANY OVERVIEW 235
TABLE 161 THE SANBORN MAP COMPANY, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 236
TABLE 162 MOMENTA: COMPANY OVERVIEW 237
TABLE 163 MOMENTA: PRODUCTS/SOLUTIONS/SERVICES OFFERED 237
TABLE 164 MAPBOX: COMPANY OVERVIEW 238
TABLE 165 MAPBOX: PRODUCTS/SOLUTIONS/SERVICES OFFERED 239
TABLE 166 MAPBOX: PRODUCT/SERVICE LAUNCHES/DEVELOPMENTS 239
TABLE 167 MAPBOX: DEALS 240
TABLE 168 CE INFO SYSTEMS LTD.: COMPANY OVERVIEW 241
TABLE 169 NAVMII: COMPANY OVERVIEW 242
TABLE 170 RMSI: COMPANY OVERVIEW 243
TABLE 171 ZENRIN CO., LTD.: COMPANY OVERVIEW 244
TABLE 172 WOVEN BY TOYOTA, INC.: COMPANY OVERVIEW 245
TABLE 173 SWIFT NAVIGATION, INC.: COMPANY OVERVIEW 246
TABLE 174 IMERIT: COMPANY OVERVIEW 247
TABLE 175 VOXELMAPS: COMPANY OVERVIEW 248
TABLE 176 HYUNDAI AUTOEVER CORP.: COMPANY OVERVIEW 249
TABLE 177 GENESYS INTERNATIONAL CORPORATION LTD: COMPANY OVERVIEW 250
TABLE 178 GEOMATE: COMPANY OVERVIEW 251
TABLE 179 INTELLIAS: COMPANY OVERVIEW 252
TABLE 180 MORAI INC.: COMPANY OVERVIEW 253
LIST OF FIGURES
FIGURE 1 HD MAPS FOR AUTONOMOUS DRIVING MARKET: RESEARCH DESIGN 31
FIGURE 2 HD MAPS FOR AUTONOMOUS DRIVING MARKET: TOP-DOWN APPROACH 38
FIGURE 3 APPROACH 1: SUPPLY-SIDE ANALYSIS 38
FIGURE 4 HD MAPS FOR AUTONOMOUS DRIVING MARKET: DATA TRIANGULATION 40
FIGURE 5 KEY INSIGHTS AND MARKET HIGHLIGHTS 44
FIGURE 6 MAJOR STRATEGIES ADOPTED BY KEY PLAYERS IN HD MAPS FOR
AUTONOMOUS DRIVING MARKET 45
FIGURE 7 DISRUPTIVE TRENDS IMPACTING GROWTH OF HD MAPS FOR AUTONOMOUS DRIVING MARKET DURING FORECAST PERIOD 46
FIGURE 8 PASSENGER CAR SEGMENT TO DOMINATE MARKET IN 2025 47
FIGURE 9 ASIA PACIFIC TO LEAD MARKET DURING FORECAST PERIOD 48
FIGURE 10 ADVANCEMENTS IN AUTONOMOUS DRIVING TECHNOLOGY AND SUPPORTIVE GOVERNMENT INITIATIVES TO DRIVE MARKET DURING FORECAST PERIOD 49
FIGURE 11 MAPPING & LOCALIZATION SEGMENT TO LEAD MARKET IN 2032 49
FIGURE 12 PASSENGER CAR SEGMENT TO DOMINATE MARKET IN 2032 50
FIGURE 13 CLOUD-BASED SEGMENT TO LEAD MARKET IN 2032 50
FIGURE 14 SEMI-AUTONOMOUS VEHICLE TO LEAD THE MARKET DURING FORECAST PERIOD 51
FIGURE 15 COMMERCIAL MOBILITY SEGMENT TO GROW AT SIGNIFICANT RATE
DURING FORECAST PERIOD 51
FIGURE 16 ASIA PACIFIC TO ACCOUNT FOR LARGEST MARKET SHARE IN 2025 52
FIGURE 17 FUNCTIONS OF HD MAPS IN AUTONOMOUS DRIVING VEHICLES 53
FIGURE 18 HD MAPS FOR AUTONOMOUS DRIVING MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 54
FIGURE 19 MOBILEYE’S APPROACH TO MAKING HD MAPS 55
FIGURE 20 5G-ENABLED AUTONOMOUS DRIVING 59
FIGURE 21 ECOSYSTEM ANALYSIS 63
FIGURE 22 SUPPLY CHAIN ANALYSIS 66
FIGURE 23 AVERAGE SELLING PRICE TREND OF AUTONOMOUS DRIVING SOFTWARE SUITE FOR L2+ AUTONOMY, BY REGION, 2022–2024 (USD) 69
FIGURE 24 AVERAGE SELLING PRICE TREND OF AUTONOMOUS DRIVING SOFTWARE SUITE FOR L3 AUTONOMY, BY REGION, 2022–2024 (USD) 70
FIGURE 25 AVERAGE SELLING PRICE TREND OF AUTONOMOUS DRIVING SOFTWARE SUITE FOR L4 AUTONOMY, BY REGION, 2022–2024 (USD) 71
FIGURE 26 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR VEHICLE TYPES 72
FIGURE 27 KEY BUYING CRITERIA, BY VEHICLE TYPE 73
FIGURE 28 INVESTMENT & FUNDING SCENARIO, 2022–2025 79
FIGURE 29 IMPORT DATA FOR HS CODE 852691-COMPLIANT PRODUCTS,
BY COUNTRY, 2021–2024 (USD MILLION) 83
FIGURE 30 EXPORT DATA FOR HS CODE 852691-COMPLIANT PRODUCTS,
BY COUNTRY, 2021–2024 (USD MILLION) 84
FIGURE 31 NEW REVENUE SOURCES AND REVENUE POCKETS IN HD MAPS FOR AUTONOMOUS DRIVING MARKET 86
FIGURE 32 PATENT ANALYSIS, BY DOCUMENT TYPE, 2015–2024 96
FIGURE 33 PATENT PUBLICATION TRENDS, 2015−2024 96
FIGURE 34 HD MAPS FOR AUTONOMOUS DRIVING MARKET:
LEGAL STATUS OF PATENTS, 2015–2024 97
FIGURE 35 JURISDICTION OF HIGHEST PERCENTAGE OF US-REGISTERED
PATENTS, 2015–2024 97
FIGURE 36 TOP PATENT APPLICANTS, 2015–2024 98
FIGURE 37 BUSINESS MODELS FOR HD MAPPING IN AUTONOMOUS MOBILITY 103
FIGURE 38 VEHICLE LOCALIZATION 104
FIGURE 39 SLAM SYSTEM FRAMEWORK 109
FIGURE 40 FUTURE APPLICATIONS OF HD MAPS 117
FIGURE 41 HD MAPS FOR AUTONOMOUS DRIVING MARKET,
BY LEVEL OF AUTOMATION, 2025 VS. 2032 (USD MILLION) 120
FIGURE 42 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY SERVICE TYPE,
2025 VS. 2032 (USD MILLION) 127
FIGURE 43 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY SOLUTION TYPE,
2025 VS. 2032 (USD MILLION) 133
FIGURE 44 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY USAGE TYPE,
2025 VS. 2032 (USD MILLION) 138
FIGURE 45 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY VEHICLE TYPE,
2025 VS. 2032 (USD MILLION) 143
FIGURE 46 HD MAPS FOR AUTONOMOUS DRIVING MARKET, BY REGION,
2025 VS. 2032 (USD MILLION) 149
FIGURE 47 ASIA PACIFIC: HD MAPS FOR AUTONOMOUS DRIVING MARKET SNAPSHOT 151
FIGURE 48 ASIA PACIFIC: REAL GDP GROWTH RATE, BY COUNTRY, 2024–2026 154
FIGURE 49 ASIA PACIFIC: GDP PER CAPITA, BY COUNTRY, 2024–2026 155
FIGURE 50 ASIA PACIFIC: INFLATION RATE AVERAGE CONSUMER PRICES,
BY COUNTRY, 2024–2026 155
FIGURE 51 ASIA PACIFIC: MANUFACTURING INDUSTRY’S CONTRIBUTION TO GDP,
2024 (USD TRILLION) 156
FIGURE 52 EUROPE: REAL GDP GROWTH RATE, BY COUNTRY, 2024–2026 163
FIGURE 53 EUROPE: GDP PER CAPITA, BY COUNTRY, 2024–2026 164
FIGURE 54 EUROPE: INFLATION RATE AVERAGE CONSUMER PRICES,
BY COUNTRY, 2024–2026 164
FIGURE 55 EUROPE: MANUFACTURING INDUSTRY’S CONTRIBUTION TO GDP,
2024 (USD TRILLION) 165
FIGURE 56 NORTH AMERICA: HD MAPS FOR AUTONOMOUS DRIVING MARKET SNAPSHOT 169
FIGURE 57 NORTH AMERICA: REAL GDP GROWTH RATE, BY COUNTRY, 2024–2026 172
FIGURE 58 NORTH AMERICA: GDP PER CAPITA, BY COUNTRY, 2024–2026 173
FIGURE 59 NORTH AMERICA: INFLATION RATE AVERAGE CONSUMER PRICES,
BY COUNTRY, 2024–2026 173
FIGURE 60 NORTH AMERICA: MANUFACTURING INDUSTRY’S CONTRIBUTION TO GDP,
2024 (USD TRILLION) 174
FIGURE 61 ROW: REAL GDP GROWTH RATE, 2024–2026 179
FIGURE 62 ROW: GDP PER CAPITA, 2024–2026 179
FIGURE 63 ROW: INFLATION RATE AVERAGE CONSUMER PRICES, 2024–2026 180
FIGURE 64 ROW: MANUFACTURING INDUSTRY’S CONTRIBUTION TO GDP,
2024 (USD TRILLION) 180
FIGURE 65 MARKET SHARE ANALYSIS, 2024 185
FIGURE 66 REVENUE ANALYSIS OF TOP FIVE PLAYERS, 2020–2024 (USD BILLION) 187
FIGURE 67 COMPANY VALUATION OF KEY PLAYERS, 2025 (USD BILLION) 188
FIGURE 68 FINANCIAL METRICS OF KEY PLAYERS, 2025 188
FIGURE 69 BRAND/PRODUCT COMPARISON FOR TOP FIVE PLAYERS 189
FIGURE 70 HD MAPS FOR AUTONOMOUS DRIVING MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024 191
FIGURE 71 HD MAPS FOR AUTONOMOUS DRIVING MARKET: COMPANY FOOTPRINT, 2024 192
FIGURE 72 HD MAPS FOR AUTONOMOUS DRIVING MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2024 196
FIGURE 73 HERE: COMPANY SNAPSHOT 204
FIGURE 74 HERE: PRODUCT SPECIFICATIONS 205
FIGURE 75 BAIDU INC.: COMPANY SNAPSHOT 210
FIGURE 76 TOMTOM INTERNATIONAL BV: COMPANY SNAPSHOT 214
FIGURE 77 NVIDIA CORPORATION: COMPANY SNAPSHOT 218
FIGURE 78 MOBILEYE: COMPANY SNAPSHOT 220
FIGURE 79 MOBILEYE: COMMON INDUSTRY APPROACH VS. THE MOBILEYE APPROACH 221
FIGURE 80 MOBILEYE: REM SOLUTION FOR AUTONOMOUS VEHICLE MAPPING 221
FIGURE 81 WAYMO LLC: COMPANY SNAPSHOT 224
FIGURE 82 DYNAMIC MAP PLATFORM CO., LTD.: COMPANY SNAPSHOT 226
FIGURE 83 NAVINFO CO., LTD.: COMPANY SNAPSHOT 230
FIGURE 84 LUMINAR TECHNOLOGIES, INC.: COMPANY SNAPSHOT 234
FIGURE 85 THE SANBORN MAP COMPANY, INC.: COMPANY SNAPSHOT 235
FIGURE 86 MAPBOX: COMPANY SNAPSHOT 238
