自動運転車用HDマップの世界市場予測(~2030年):ソリューション別(クラウド型、組み込み型)、LOA別(L2、L3、L4、L5)、使用別(乗用車、商業用)、車両種類別、サービス別(広告、マッピング、ローカリゼーション、アップデート・保守)、地域別

■ 英語タイトル:HD Map for Autonomous Vehicles Market by Solution (Cloud-Based & Embedded), LOA(L2, L3, L4, & L5), Usage (Passenger & Commercial), Vehicle Type, Services (Advertisement, Mapping, Localization, Update & Maintenance), & Region - Global Forecast to 2030

調査会社MarketsandMarkets社が発行したリサーチレポート(データ管理コード:AT7391)■ 発行会社/調査会社:MarketsandMarkets
■ 商品コード:AT7391
■ 発行日:2021年7月26日
■ 調査対象地域:グローバル
■ 産業分野:自動車
■ ページ数:242
■ レポート言語:英語
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*** レポート概要(サマリー)***

マーケッツアンドマーケッツ社は自動運転車用HDマップの世界市場規模が2021年14億ドルから2030年169億ドルまで、年平均31.7%成長すると予想しています。本市場調査レポートでは、世界の自動運転車用HDマップ市場について調査・分析し、イントロダクション、調査手法、エグゼクティブサマリー、プレミアムインサイト、市場概要、産業動向、サービス種類別(マッピング、位置特定、アップデート・メンテナンス、広告)分析、自動化レベル(LOA)別(半自動運転車、自動運転車)分析、ソリューション種類別(クラウド型、組み込み型)分析、使用種類別(個人用移動、商業用移動)分析、地域別分析、競争状況、企業情報、推奨事項など、以下の構成でまとめております。
・イントロダクション
・調査手法
・エグゼクティブサマリー
・プレミアムインサイト
・市場概要
・産業動向
・自動運転車用HDマップの世界市場規模:サービス種類別(マッピング、位置特定、アップデート・メンテナンス、広告)
・自動運転車用HDマップの世界市場規模:自動化レベル(LOA)別(半自動運転車、自動運転車)
・自動運転車用HDマップの世界市場規模:ソリューション種類別(クラウド型、組み込み型)
・自動運転車用HDマップの世界市場規模:使用種類別(個人用移動、商業用移動)
・自動運転車用HDマップの世界市場規模:地域別
・競争状況
・企業情報
・推奨事項

“The HD maps for autonomous vehicles market is estimated to be USD 1.4 Billion in 2021 and is projected to grow at a CAGR of 31.7% during the forecast period, to reach USD 16.9 Billion by 2030.”
HD maps are primarily used in autonomous vehicles. These are the maps designed for use by the machines that drive the autonomous vehicles. HD maps offer high-precision localization, environment perception, planning and decision making, and real-time navigation cloud services to autonomous vehicles. OEMs across the globe are investing in the development of autonomous vehicles. Although level 5 fully autonomous vehicles are not expected to be commercially available until 2025, many of the associated technologies have already been developed, and thousands of patent applications have been filed to secure intellectual property rights. Ford had the largest number of patents related to autonomous vehicle technology, followed by Toyota by the end of 2020. Since 2011, Ford submitted 14,354 patents and 13,000 patents were submitted by Toyota by the end of 2020.

With the growing trend of autonomous driving technology, the global HD maps market is expected to grow at a significant rate in the future. The promising market for self-driving car renting services and increased investments in autonomous driving technology startups are expected to boost the HD maps market. In addition, increasing R&D activities related to HD maps by leading HD map suppliers and several startups will further fuel the growth of HD maps for autonomous vehicle market. However, high investment costs and slow adoption rates in developing countries are considered the major restraints for this market.

“North America is estimated to be the largest market for HD maps for autonomous vehicles during the forecast period.”
The North American market is principally driven by the increasing demand for a safe, efficient, and convenient driving experience; rising investment in autonomous vehicle technology; and a strong presence of HD map suppliers. The increase in government support and the availability of suitable infrastructure for semi-autonomous and autonomous vehicles are likely to drive market growth in the region. Asia Oceania is projected to grow at the highest CAGR of 34.3%. China, Japan, and South Korea are the key countries in the region leading the fast-paced development. The government support for autonomous vehicle technology is also a driving factor for the growth of the Asia Oceania market.

Some of the major players in the HD map for autonomous vehicle market are TomTom (the Netherlands), HERE Technologies (the Netherlands), Waymo (US), NVIDIA (US), Baidu (China), Dynamic Map Platform (Japan), NavInfo (China), and Zenrin (US). These players have long-term supply contracts with leading automotive manufacturers and autonomous vehicle technology developers. These companies have adopted the strategies of new product developments, acquisitions, agreements, collaborations, expansions, joint ventures, partnerships, and supply contracts to gain traction in the HD map for autonomous vehicle market. Partnership and collaboration are the most widely adopted strategies by major players. For instance, in September 2019, TomTom and HELLA Aglaia collaborated to update the TomTom High Definition Map in real-time using crowdsourced camera data from vehicles. As part of the collaboration, HELLA Aglaia will use AutoStream, which is TomTom’s innovative map delivery system, to access the latest TomTom HD Map on demand and will use the HD Map in the vehicle for accurate localization.

“Wide adoption of HD maps in passenger mobility segment expected to lead to market growth.”
Personal mobility is estimated to be the largest segment of the HD map for autonomous vehicle market, by usage type, owing to the higher volume of semi-autonomous vehicle sales, and a majority of semi-autonomous vehicles would be used for personal transportation. OEMs such as Honda, Nissan, General Motors, and Mercedes-Benz promote the use of HD map and use it to develop its level 2 and level 3 semi-autonomous vehicles. The commercial mobility segment is projected to be the fastest-growing because of the high demand for ride-sharing services, predominant usage of autonomous vehicles for ride-sharing and robo-taxi services, and growing partnership between ride-sharing companies and HD map providers.
The transportation of goods by autonomous vehicles helps minimize the cost of delivery.

E-commerce companies mostly drive the delivery of goods by autonomous vehicles. According to companies like Continental, 80% of all business-to-consumer deliveries will be done by driverless cars in the future. OEMs, autonomous vehicle technology providers, and logistics/transportation companies such as Pony.ai, FedX, and Ford are involved in testing autonomous last delivery vehicles across the world. For example, in June 2021, Ford and Hermes, a consumer delivery company in the UK, started testing autonomous vehicles for delivery. HD mapping companies can focus on developing HD maps and other related solutions for the commercial mobility segment as it can provide high growth opportunities, especially for new entrants.

“Level 2&3 semi-autonomous vehicles to ensure dominant position of the segment.”
HD map market for Level 2&3 semi-autonomous vehicles is estimated to be the largest market, and the market for Level 4&5 autonomous vehicles is expected to be the fastest-growing market during the forecast period. The semi-autonomous vehicle segment dominates because of the demand for features such as Co-operative Adaptive Cruise Control, Highway Autopilot, Auto Lane Change, and Hands-free Auto Parking. Other factors include stringent laws concerning autonomous driving and a greater number of semi-autonomous vehicles on road than autonomous vehicles during the forecast period. Rapid advancements and the decreasing cost of ADAS components and solutions are expected to spur the growth of the HD map market for semi-autonomous vehicles.

For example, ZF unveiled its coASSIST level 2+ driving system in 2020 with a price range of USD 1,000. Such affordable ADAS solutions would increase the penetration of major ADAS features in a standard ADAS package. ZF offers copilot, a scalable ADAS solution for level 2+ to level 4 driving systems, was co-developed with NVIDIA. These affordable ADAS solutions would significantly boost the adoption of ADAS and the demand for HD maps for semi-autonomous vehicles. The autonomous vehicles segment is projected to have a significant growth rate during the forecast period. The continuous improvement in HD map technology is also a major factor boosting the growth of the market. Increasing investments for the development of level 4 and level 5 technologies and the growth in the testing activities of level 4 and level 5 autonomous vehicles will drive the HD map market for autonomous vehicles.

The study contains insights from various industry experts, ranging from component suppliers to tier 1 companies and OEMs.

The break-up of the primaries is as follows:
• By Department: Sales/Marketing – 45%, Production & Procurement – 35%, CXOs – 20%
• By Designation: C level – 40%, D level – 35%, Others – 25%
• By Region: Asia Pacific- 40%, North America – 20%, Europe – 35%, RoW-5%

Major players profiled in the report are TomTom (Netherlands), HERE (Netherlands), NVIDIA (US), Waymo (US), Baidu (China), Dynamic Map Platform (Japan), and NavInfo (China).

Research Coverage:
The report segments the HD maps for autonomous vehicles harness market and forecasts its size, by value, on the basis of service type (mapping, localization, updates and maintenance, and advertisement), level of automation (semi-autonomous driving vehicles, autonomous driving vehicles), solution type (cloud based, embedded), usage type (operational data, commercial mobility), vehicle type (passenger car, commercial vehicles) & region. It also covers the competitive landscape and company profiles of the major players in the HD maps for autonomous vehicles harness market ecosystem.

Key Benefits of Buying the Report:
• The report will help market leaders/new entrants in this market with information on the closest approximations of revenue and value for the HD maps for autonomous vehicles harness market and its sub segments.
• This report will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and plan suitable go-to-market strategies.
• The report will also help the market players understand the impact of COVID-19 on HD maps for autonomous vehicles harness market.
• The report also helps stakeholders understand the pulse of the market and provides them information on key market drivers, restraints, challenges, and opportunities.

*** レポート目次(コンテンツ)***

1 INTRODUCTION 28
1.1 OBJECTIVES OF THE STUDY 28
1.2 MARKET DEFINITION 28
1.2.1 SEGMENTAL DEFINITIONS, INCLUSIONS, AND EXCLUSIONS 29
TABLE 1 SEGMENTAL DEFINITIONS, INCLUSIONS, AND EXCLUSIONS: HD MAP FOR AUTONOMOUS VEHICLE MARKET 29
TABLE 2 OTHER KEY DEFINITIONS 30
1.3 MARKET SCOPE 30
1.3.1 MARKETS COVERED 30
FIGURE 1 MARKETS COVERED: HD MAP FOR AUTONOMOUS VEHICLE MARKET 30
1.3.2 YEARS CONSIDERED IN THE STUDY 31
1.4 LIMITATIONS 31
1.5 STAKEHOLDERS 31
1.6 SUMMARY OF CHANGES 32
2 RESEARCH METHODOLOGY 33
2.1 RESEARCH DATA 33
FIGURE 2 HD MAP FOR AUTONOMOUS VEHICLE MARKET: RESEARCH DESIGN 33
FIGURE 3 RESEARCH DESIGN MODEL 34
2.2 SECONDARY DATA 34
2.2.1 KEY SECONDARY SOURCES FOR BASE NUMBERS (HD MAP FOR AUTONOMOUS VEHICLE) 35
2.2.2 KEY SECONDARY SOURCES FOR MARKET SIZING 36
2.2.3 KEY DATA FROM SECONDARY SOURCES 36
2.3 PRIMARY DATA 37
FIGURE 4 BREAKDOWN OF PRIMARY INTERVIEWS 37
2.3.1 PRIMARY PARTICIPANTS 37
2.4 MARKET SIZE ESTIMATION 38
2.4.1 TOP-DOWN APPROACH 39
FIGURE 5 TOP-DOWN APPROACH: HD MAP FOR AUTONOMOUS VEHICLE MARKET 39
FIGURE 6 ILLUSTRATION OF HD MAP FOR AUTONOMOUS VEHICLE COMPANY REVENUE ESTIMATION 40
FIGURE 7 HD MAP FOR AUTONOMOUS VEHICLE MARKET: RESEARCH DESIGN & METHODOLOGY 40
2.4.2 DATA TRIANGULATION 41
2.5 MARKET BREAKDOWN 42
2.6 FACTOR ANALYSIS 43
2.7 ASSUMPTIONS 44
2.7.1 KEY ASSUMPTIONS 44
2.7.2 OTHER RESEARCH ASSUMPTIONS 45
2.8 RISK ASSESSMENT & RANGES 45
TABLE 3 RISK ASSESSMENT & RANGES 45
2.9 RESEARCH LIMITATIONS 46
3 EXECUTIVE SUMMARY 47
FIGURE 8 HD MAP FOR AUTONOMOUS VEHICLE MARKET: MARKET OVERVIEW 47
FIGURE 9 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY REGION, 2021–2030 49
FIGURE 10 PERSONAL MOBILITY IS ESTIMATED TO LEAD THE HD MAP FOR THE AUTONOMOUS VEHICLE MARKET FROM 2021 TO 2030 49
4 PREMIUM INSIGHTS 51
4.1 ATTRACTIVE OPPORTUNITIES IN THE HD MAP FOR AUTONOMOUS VEHICLE MARKET 51
FIGURE 11 INCREASING DEMAND FOR SEMI-AUTONOMOUS VEHICLES AND RISING INVESTMENT FOR THE DEVELOPMENT OF AUTONOMOUS VEHICLE WILL PROPEL THE HD MAP FOR AUTONOMOUS VEHICLE MARKET 51
4.2 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY REGION 51
FIGURE 12 ASIA OCEANIA IS PROJECTED TO BE THE FASTEST GROWING REGION IN HD MAP FOR AUTONOMOUS VEHICLE MARKET DURING 2021−2030 51
4.3 NORTH AMERICA: HD MAP FOR AUTONOMOUS VEHICLE MARKET, LEVEL OF AUTOMATION & VEHICLE TYPE 52
FIGURE 13 NORTH AMERICA: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY LEVEL OF AUTOMATION & VEHICLE TYPE, 2021 VS 2030 (USD MILLION) 52
4.4 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SOLUTION TYPE 52
FIGURE 14 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SOLUTION TYPE,
2021 VS 2030 (USD MILLION) 52
4.5 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SERVICE TYPE 53
FIGURE 15 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SERVICE TYPE,
2021 VS 2030 (USD MILLION) 53
5 MARKET OVERVIEW 54
5.1 INTRODUCTION 54
5.2 MARKET DYNAMICS 55
FIGURE 16 HD MAPS MARKET: MARKET DYNAMICS 55
5.2.1 DRIVERS 55
5.2.1.1 Growing trend of autonomous driving 55
TABLE 4 INVESTMENT BY AUTOMOTIVE COMPANIES IN AUTONOMOUS TECHNOLOGY 56
5.2.1.2 Increasing adoption of Level 2 and Level 3 ADAS features in the automotive industry 56
5.2.1.3 Increasing investment by startups in the development of HD maps 57
TABLE 5 WORLDWIDE DISTRIBUTION OF STARTUPS BY TYPE OF EMBEDDED AUTONOMOUS TECHNOLOGY 57
5.2.1.4 Increasing partnerships and joint ventures by the key players 57
TABLE 6 HD MAP MARKET: PARTNERSHIPS/COLLABORATIONS IN HD MAPS ECOSYSTEM 58
TABLE 7 HD MAP MARKET: OEMS AND ITS HD MAPS SUPPLIERS 59
TABLE 8 HD MAP MARKET: KEY INVESTMENTS IN HD MAPS ECOSYSTEM 60
5.2.1.5 Growth in the map data collection 60
FIGURE 17 CLASSIFICATION OF DIFFERENT ROAD DETECTION APPROACHES DEPENDING ON THE SENSOR AND THE METHODOLOGY 61
FIGURE 18 DIFFERENT STRATEGIES FOR AUTONOMOUS DRIVING WITH ROAD-LEVEL NAVIGATION AND LANE-LEVEL NAVIGATION 61
5.2.1.6 Increasing investments in smart city projects 62
TABLE 9 SMART CITY INITIATIVES AND INVESTMENTS 62
5.2.2 RESTRAINTS 63
5.2.2.1 Limited standardization in HD maps 63
5.2.2.2 Less reliability in untested environments 63
5.2.3 OPPORTUNITIES 63
5.2.3.1 Autonomous car renting services 63
5.2.3.2 Advancement in 5G technology 64
FIGURE 19 5G TECHNOLOGY ECOSYSTEM 64
5.2.3.3 Increasing demand for real-time data 65
FIGURE 20 ARCHITECTURE OF REAL-TIME HD MAP CHANGE DETECTION 65
FIGURE 21 GENERAL STRUCTURE OF LOCALIZATION PROCEDURE 66
5.2.4 CHALLENGES 66
5.2.4.1 Legal & Privacy issues regarding HD maps 66
5.2.4.2 High cost of the technology and autonomous vehicle mapping 66
FIGURE 22 HD MAPPING PROCESS 67
5.2.4.3 Large size data collection, processing, and transmission of HD map data 67
FIGURE 23 DATA FROM AN AUTONOMOUS VEHICLE 68
5.3 PORTER’S FIVE FORCES 68
FIGURE 24 PORTER’S FIVE FORCES: HD MAP FOR AUTONOMOUS VEHICLE MARKET 69
5.3.1 THREAT OF NEW ENTRANTS 69
5.3.1.1 The key players have collaborations with key OEMs 69
5.3.2 THREAT OF SUBSTITUTES 70
5.3.3 BARGAINING POWER OF BUYERS 70
5.3.4 BARGAINING POWER OF SUPPLIERS 70
5.3.5 RIVALRY AMONG EXISTING COMPETITORS 70
5.3.5.1 Many HD map providers partnered to develop HD maps and HD mapping datasets 70
5.3.5.2 Increasing competition to broaden the customer base 70
5.4 ROADMAP OF HD MAP FOR AUTONOMOUS VEHICLE 71
FIGURE 25 ROADMAP OF HD MAP FOR AUTONOMOUS VEHICLE IN URBAN ENVIRONMENT 71
5.5 VALUE CHAIN ANALYSIS 71
FIGURE 26 VALUE CHAIN ANALYSIS OF HD MAP FOR AUTONOMOUS VEHICLE 72
5.6 ECOSYSTEM ANALYSIS 73
FIGURE 27 ECOSYSTEM ANALYSIS OF HD MAP FOR AUTONOMOUS VEHICLE 73
TABLE 10 LIST OF KEY PLAYER FROM HD MAP FOR AUTONOMOUS VEHICLE ECOSYSTEM 74
FIGURE 28 HD MAP FOR AUTONOMOUS VEHICLE ECOSYSTEM MATRIX 75
5.7 REGULATORY ANALYSIS OF RELATED MARKETS 76
5.7.1 GENERAL DATA PROTECTION REGULATION 76
5.7.2 ADAS: REGULATORY OVERVIEW 76
5.7.2.1 Canada 76
5.7.2.2 US 76
5.7.2.3 European Parliament 77
5.7.2.4 National agency for automotive safety & victims’ aid (NASVA), Japan 77
5.7.3 AUTONOMOUS VEHICLE: REGULATORY OVERVIEW 77
5.7.3.1 Enacted legislation and executive orders in the US 78
FIGURE 29 ENACTED LEGISLATION AND EXECUTIVE ORDERS IN THE US 78
5.7.3.2 Autonomous vehicle testing area in China 79
FIGURE 30 AUTONOMOUS VEHICLE TESTING AREA IN CHINA 79
5.7.3.3 Autonomous vehicle testing area in Germany 79
FIGURE 31 AUTONOMOUS VEHICLE TESTING AREA IN GERMANY 79
5.7.3.4 Autonomous vehicle testing area in Singapore 80
FIGURE 32 AUTONOMOUS VEHICLE TESTING AREA IN SINGAPORE 80
5.8 HD MAP FOR AUTONOMOUS VEHICLE MARKET, SCENARIOS (2021–2030) 80
FIGURE 33 HD MAP FOR AUTONOMOUS VEHICLE MARKET– FUTURE TRENDS & SCENARIOS, 2021–2030 (UNITS) 81
5.8.1 MOST LIKELY SCENARIO 81
TABLE 11 HD MAP FOR AUTONOMOUS VEHICLE MARKET (MOST LIKELY), BY REGION, 2021–2030 (UNITS) 81
5.8.2 OPTIMISTIC SCENARIO 82
TABLE 12 HD MAP FOR AUTONOMOUS VEHICLE MARKET (OPTIMISTIC SCENARIO), BY REGION, 2021–2030 (UNITS) 82
5.8.3 PESSIMISTIC SCENARIO 82
TABLE 13 HD MAP FOR AUTONOMOUS VEHICLE MARKET (PESSIMISTIC), BY REGION, 2021–2030 (UNITS) 83
6 INDUSTRY TRENDS 84
6.1 TECHNOLOGY OVERVIEW 84
FIGURE 34 FIVE ERAS OF VEHICLE SAFETY 84
FIGURE 35 CONNECTED VEHICLE FOR AUTONOMOUS DRIVING 84
6.1.1 HD MAPS PORTFOLIO FOR ALL AUTOMATION LEVELS 85
TABLE 14 AUTOMATION LEVELS 85
FIGURE 36 HD MAPS PORTFOLIO FOR ALL AUTOMATION LEVELS 86
6.1.2 HD MAP LAYERS 86
FIGURE 37 HD MAP LAYERS 86
6.1.3 COMPONENTS USED TO BUILD HD MAPS 87
6.1.3.1 Hardware 87
FIGURE 38 SENSORS AND THEIR IMPORTANCE IN AUTONOMOUS VEHICLES 87
6.1.3.1.1 LiDAR 87
6.1.3.1.2 Camera 87
6.1.3.1.3 Radar 88
6.1.3.1.4 Inertial Measurement Unit (IMU) 88
6.1.3.1.5 Global Positioning System (GPS) 88
6.1.3.2 Software 88
FIGURE 39 FLOW CHART FOR PRODUCTION PROCESS AND MAP DATA SOURCES 88
6.1.4 ADVANCEMENT IN SLAM ALGORITHM 89
6.1.5 SELF-HEALING MAPS 89
FIGURE 40 SELF-HEALING MAP PROCESS 90
6.1.6 MAPPING STANDARDS 91
FIGURE 41 FEATURES OF KEY MAPPING STANDARDS 91
6.1.6.1 SENSORIS 91
6.1.6.2 ADASIS 91
FIGURE 42 HD MAP STANDARDS 92
6.1.6.3 Navigation data standard 92
6.1.6.4 Vector tile 3 92
6.1.6.5 Open AutoDrive forum 92
6.1.7 HD 3D VIEWING CUSTOMER EXPERIENCE 93
6.1.8 EMERGENCE OF AI AND ML TECHNOLOGIES TO BOOST THE 3D CONTENT ACCURACY 93
6.1.9 ADVENT OF 3D-ENABLED DISPLAY DEVICES FOR A BETTER NAVIGATION EXPERIENCE 93
6.1.10 3D MAPPING TECHNIQUES 93
6.1.10.1 Photogrammetry 93
6.1.10.2 LiDAR 94
6.1.10.3 RADAR 94
6.1.10.4 SONAR 94
FIGURE 43 IOT DEVICES IN AUTONOMOUS VEHICLES 94
6.1.11 HD MAPPING AND BLOCKCHAIN 95
6.1.12 MACHINE LEARNING POWERED ANALYTICS 95
6.1.13 SUPPLY CHAIN 4.0 95
6.1.14 LIDAR DRONES FOR MAPPING 95
FIGURE 44 LIDAR ECOSYSTEM: MAJOR VALUE ADDITION BY LIDAR COMPONENT MANUFACTURERS AND THEIR INTEGRATORS & DISTRIBUTORS 96
6.1.15 LOCATION OF THINGS 96
6.1.16 HD MAPPING FOR AUTONOMOUS VEHICLE PROVING GROUNDS 96
6.1.17 POTENTIAL APPLICATIONS OF HD MAPS OTHER THAN AUTONOMOUS VEHICLES 97
TABLE 15 BUSINESS MODEL FOR AUTONOMOUS LAST MILE DELIVERY 98
FIGURE 45 ALGORITHMS AND ANALYTICS SUPPORTING AUTONOMOUS LAST MILE DELIVERY 98
6.1.17.1 Aerial delivery drones 98
TABLE 16 EVOLUTION OF AERIAL DELIVERY DRONES 99
6.2 USE CASES: AERIAL DELIVERY DRONES 99
6.2.1 USE OF PROJECT WING OF ALPHABET TO DELIVER FOOD AND MEDICINES IN AUSTRALIA 99
6.2.2 REGULATORS APPROVE TRIAL FLIGHTS OF URBAN FLIGHT DELIVERY SYSTEMS OF DRONE DELIVERY CANADA 99
6.2.3 ELE.ME STARTS FOOD DELIVERY USING DRONES IN SHANGHAI 99
6.2.4 SF EXPRESS RECEIVED LICENSE TO START AERIAL DRONE-BASED NETWORK FOR DELIVERIES WITHIN PILOT ZONES OF CHINA 99
6.2.5 EMQOPTER DELIVERS FOOD PARCELS IN GERMANY USING AERIAL DELIVERY DRONES 100
6.2.6 SKYWAYS UAV OF AIRBUS HELICOPTERS CONDUCTS ITS FIRST PARCEL DELIVERY IN SINGAPORE 100
6.2.7 ZIPLINE PLANS TO DELIVER MEDICINES IN AFRICAN REGION USING AERIAL DELIVERY DRONES 100
6.2.8 DRONE DELIVERIES TO KING’S WALK GOLF COURSE IN GRAND FORKS, NORTH DAKOTA 100
6.2.9 AMAZON PLANS TO TRANSFORMING PARCEL DELIVERY USING PRIME AIR DELIVERY DRONE 100
6.2.10 DHL HAS SUCCESSFULLY COMPLETED TRAILS OF BVLOS MEDICINE DELIVERY FLIGHTS ACROSS LAKE VICTORIA, TANZANIA 100
6.2.10.1 Ground delivery vehicles 100
TABLE 17 EVOLUTION OF GROUND DELIVERY VEHICLES 101
6.3 USE CASES: GROUND DELIVERY VEHICLES 101
6.3.1 NURO AUTONOMOUS DELIVERY ROBOTS PROVIDING COST-EFFECTIVE GROCERY DELIVERY SERVICES FOR KROGER 101
6.3.2 KIWIBOTS DEPLOYED TO CARRY OUT LOW-COST FOOD DELIVERY SERVICES IN UNIVERSITY CAMPUSES IN CALIFORNIA 101
6.3.3 PEPSICO DELIVERING SNACKS TO COLLEGE STUDENTS BY A FLEET OF GROUND ROBOTS 101
6.3.4 FEDEX DELIVERS PARCELS USING SAMEDAY DELIVERY BOT 102
6.3.5 DOMINOS USING GROUND DELIVERY ROBOTS TO DELIVER PIZZA IN NEW ZEALAND 102
6.3.6 STARSHIP TECHNOLOGY OFFERING FOOD DELIVERIES AT GEORGE MASON UNIVERSITY’S FAIRFAX CAMPUS 102
6.3.7 JD.COM STARTED DELIVERIES USING AL EQUIPPED GROUND ROBOTS 102
6.3.8 AMAZON’S SCOUT GROUND ROBOT TO DELIVER PARCELS IN WASHINGTON 102
6.3.9 TYPES OF GNSS RECEIVERS 102
6.3.9.1 Global Positioning System (GPS) 102
6.3.9.2 Galileo 103
6.3.9.3 Global Navigation Satellite System (GLONASS) 104
6.3.9.4 Satellite-based Augmentation System (SBAS) 104
TABLE 18 SBAS IN DIFFERENT COUNTRIES 105
6.3.9.5 BeiDou Navigation Satellite System 105
6.3.10 GIS DATA 105
6.3.10.1 Types of GIS data models 105
6.3.10.1.1 Vector data model 105
6.3.10.1.2 Raster data model 105
6.3.10.2 Key trends in GIS 106
6.3.10.2.1 AR and VR technologies 106
6.3.10.2.2 Unmanned AERIAL Vehicles 106
6.3.10.2.3 Integration of cloud computing in GIS 106
6.3.10.2.4 Development of 4D GIS software and augmented reality platforms for GIS 107
7 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SERVICE TYPE 108
7.1 INTRODUCTION 109
7.2 RESEARCH METHODOLOGY 109
7.3 ASSUMPTIONS 110
TABLE 19 ASSUMPTIONS, BY SERVICE TYPE 110
FIGURE 46 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SERVICE TYPE,
2021 VS 2030 (USD MILLION) 110
TABLE 20 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SERVICE TYPE,
2020–2030 (USD MILLION) 111
7.4 MAPPING 112
TABLE 21 HD MAP SEMANTIC INFORMATION 112
TABLE 22 ROAD SEGMENT DATA (RSD) APPLICATIONS 112
TABLE 23 POTENTIALLY APPLICABLE MAPPING TECHNOLOGIES, THEIR STRENGTHS AND LIMITATIONS 113
TABLE 24 MAPWORKS SOFTWARE DEVELOPMENT KIT 113
7.4.1 THE COMPANIES OFFERING END TO END MAPPING SOLUTIONS FOR AUTONOMOUS VEHICLE IS EXPECTED TO DRIVE NORTH AMERICAN MARKET 114
TABLE 25 MAPPING: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY REGION, 2020–2030 (USD MILLION) 114
7.5 LOCALIZATION 114
TABLE 26 LOCALIZATION TECHNIQUES FOR AUTONOMOUS VEHICLE AND THEIR ACCURACY 115
TABLE 27 PRIOR INFORMATION IN HD MAP BASED VEHICLE LOCALIZATION 115
7.5.1 INCREASED INVESTMENT IN THE LOCALIZATION OF HD MAPS TO DRIVE THE MARKET 116
TABLE 28 LOCALIZATION: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY REGION, 2020–2030 (USD MILLION) 116
7.6 UPDATES & MAINTENANCE 116
7.6.1 NEED OF DYNAMIC TRAFFIC, WEATHER INFORMATION AND CONTINUOUSLY UPDATE IN DATA GATHERED BY MAPPING AND LOCALIZATION WILL DRIVE THE MARKET 116
TABLE 29 UPDATES & MAINTENANCE: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY REGION, 2020–2030 (USD MILLION) 116
7.7 ADVERTISEMENT 117
7.7.1 ADVERTISEMENT IS PROJECTED TO BE THE FASTEST-GROWING SEGMENT OF HD MAPS FOR THE AUTONOMOUS VEHICLES MARKET 117
TABLE 30 ADVERTISEMENT: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY REGION, 2020–2030 (USD MILLION) 117
7.8 KEY INDUSTRY INSIGHTS 118
8 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY LEVEL OF AUTOMATION 119
8.1 INTRODUCTION 120
FIGURE 47 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY AUTOMATION LEVEL, 2021 VS. 2030 (USD MILLION) 121
8.2 RESEARCH METHODOLOGY 121
8.3 ASSUMPTIONS 122
TABLE 31 ASSUMPTIONS, BY LEVEL OF AUTOMATION TYPE 122
8.4 OPERATIONAL DATA 122
TABLE 32 RECENT AND ONGOING DEMONSTRATION AND TESTING OF CONNECTED AUTONOMOUS VEHICLES BY KEY COMPANIES 122
TABLE 33 ECONOMIC IMPACT OF CONNECTED AND AUTONOMOUS VEHICLE AND ITS BREAKDOWN 123
TABLE 34 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY AUTOMATION LEVEL, 2020–2030(USD MILLION) 123
8.5 SEMI-AUTONOMOUS DRIVING VEHICLES 124
8.5.1 LEVEL 2 124
8.5.2 LEVEL 3 124
8.5.3 ASIA OCEANIA REGION IS PROJECTED TO HAVE THE HIGHEST GROWTH RATE 125
TABLE 35 HD MAP FOR SEMI-AUTONOMOUS VEHICLE MARKET, BY REGION,
2020–2030 (USD MILLION) 125
TABLE 36 HD MAP FOR SEMI-AUTONOMOUS VEHICLE MARKET, BY LEVEL OF AUTOMATION, 2020–2030 (USD MILLION) 125
8.6 AUTONOMOUS DRIVING VEHICLES 126
TABLE 37 EXPECTED TECHNOLOGY VS CURRENT TECHNOLOGY READINESS LEVEL OF AUTONOMOUS VEHICLE 126
8.6.1 LEVEL 4 & 5 AUTONOMOUS VEHICLE DEVELOPMENT AND DEPLOYMENT 126
8.6.1.1 Daimler AG 126
8.6.1.2 TuSimple 127
8.6.1.3 Argo AI and Ford 127
8.6.1.4 Baidu 128
8.6.1.5 DiDi 128
8.6.1.6 Toyota, Pony.ai, and Hyundai 128
8.6.1.7 Waymo 129
8.6.1.8 Voyage 129
8.6.1.9 General Motors and Cruise 129
8.6.1.10 Volvo 129
8.6.1.11 Einride 129
8.6.2 LEVEL 4 130
8.6.3 LEVEL 5 130
8.6.4 TECHNOLOGY READINESS OF AUTONOMOUS VEHICLES IN THE EUROPE REGION IS EXPECTED TO DRIVE THE MARKET 131
TABLE 38 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY REGION,
2020–2030 (USD MILLION) 131
TABLE 39 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY LEVEL OF AUTOMATION, 2020–2030 (USD MILLION) 131
8.7 KEY INDUSTRY INSIGHTS 132
9 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SOLUTION TYPE 133
9.1 INTRODUCTION 134
FIGURE 48 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SOLUTION TYPE,
2021 VS. 2030 (USD MILLION) 134
9.2 RESEARCH METHODOLOGY 135
9.3 ASSUMPTIONS 135
TABLE 40 ASSUMPTIONS: BY SOLUTION TYPE 135
TABLE 41 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SOLUTION TYPE,
2020–2030 (USD MILLION) 136
9.4 CLOUD-BASED 136
FIGURE 49 HD MAP PRODUCTION PIPELINE 136
9.4.1 HIGH FLEXIBILITY AND ACCURACY OFFERED BY CLOUD-BASED HD MAPS ARE EXPECTED TO DRIVE THE MARKET 137
TABLE 42 CLOUD-BASED: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY REGION, 2020–2030 (USD MILLION) 137
9.5 EMBEDDED 137
9.5.1 ASIA OCEANIA REGION OFFERS A HUGE OPPORTUNITY FOR THE GROWTH OF EMBEDDED HD MAPS 138
TABLE 43 EMBEDDED: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY REGION, 2020–2030 (USD MILLION) 138
9.6 KEY INDUSTRY INSIGHTS 138
10 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY USAGE TYPE 139
10.1 INTRODUCTION 140
FIGURE 50 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY USAGE TYPE,
2021 VS. 2030 (USD MILLION) 141
TABLE 44 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY USAGE TYPE,
2020–2030 (USD MILLION) 141
10.2 RESEARCH METHODOLOGY 142
10.3 ASSUMPTIONS 142
TABLE 45 ASSUMPTIONS, BY USAGE TYPE 142
10.4 OPERATIONAL DATA 143
TABLE 46 FEW POPULAR ROBO-TAXIS USED FOR PASSENGER TRANSPORTATION ACROSS THE WORLD 143
10.5 PERSONAL MOBILITY 143
10.5.1 NORTH AMERICA IS ESTIMATED TO BE THE LARGEST MARKET FOR THE PERSONAL MOBILITY SEGMENT 143
TABLE 47 PERSONAL MOBILITY: HD MAP FOR AUTONOMOUS VEHICLE, BY REGION, 2020–2030 (USD MILLION) 143
10.6 COMMERCIAL MOBILITY 144
10.6.1 INCREASING ADOPTION OF RIDE-SHARING SERVICES AND GROWING PARTNERSHIP BETWEEN KEY RIDE-SHARING COMPANIES WITH PROVIDERS OF HD MAPS WILL PROPEL THE MARKET COMMERCIAL MOBILITY SEGMENT 145
TABLE 48 COMMERCIAL MOBILITY: HD MAP FOR AUTONOMOUS VEHICLE, BY REGION, 2020–2030 (USD MILLION) 145
10.7 KEY INDUSTRY INSIGHTS 145
11 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY VEHICLE TYPE 146
11.1 INTRODUCTION 147
FIGURE 51 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY VEHICLE TYPE,
2021 VS. 2030 (USD MILLION) 148
11.2 RESEARCH METHODOLOGY 148
11.3 ASSUMPTIONS 149
TABLE 49 ASSUMPTIONS: BY VEHICLE TYPE 149
11.4 OPERATIONAL DATA 149
TABLE 50 EXISTING PRODUCTS AND SOLUTIONS OFFERED BY HD MAP PROVIDERS 149
TABLE 51 FEW POPULAR AUTONOMOUS SHUTTLES FROM COMPANIES ACROSS THE WORLD 150
TABLE 52 TRUCK ROUTING ATTRIBUTES AND CONSIDERATIONS 150
TABLE 53 US HOURS OF SERVICE REGULATIONS 150
TABLE 54 KEY PLAYERS IN THE GLOBAL TRUCK PLATOONING MARKET 151
TABLE 55 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY VEHICLE TYPE,
2020–2030 (USD MILLION) 151
11.5 PASSENGER CAR 152
11.5.1 THE PASSENGER CAR SEGMENT HOLDS THE LARGEST SHARE OF THE HD MAP FOR THE AUTONOMOUS VEHICLE MARKET 153
TABLE 56 PASSENGER CAR: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY REGION, 2020–2030 (USD MILLION) 153
11.6 COMMERCIAL VEHICLES 154
11.6.1 GROWING INVESTMENT BY TRUCK MANUFACTURERS IN AUTONOMOUS VEHICLE TECHNOLOGY TO DRIVE THE COMMERCIAL VEHICLE SEGMENT MARKET 154
TABLE 57 COMMERCIAL VEHICLE: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY REGION, 2020–2030 (USD MILLION) 154
11.7 KEY INDUSTRY INSIGHTS 155
12 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY REGION 156
12.1 INTRODUCTION 157
TABLE 58 NCAP REGULATIONS: US AND EUROPEAN UNION 158
TABLE 59 PHASES IN AUTONOMOUS VEHICLE DEVELOPMENT AND IMPACTS 158
FIGURE 52 HD MAPS FOR AUTONOMOUS MARKET, BY REGION,
2021 VS 2030 (USD MILLION) 159
TABLE 60 HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY REGION,
2020–2030 (USD MILLION) 160
12.2 NORTH AMERICA 161
FIGURE 53 NORTH AMERICA: HD MAP FOR AUTONOMOUS VEHICLE MARKET SNAPSHOT 161
TABLE 61 NORTH AMERICA: AUTONOMOUS VEHICLE EFFORTS 162
TABLE 62 PHASES IN AUTONOMOUS VEHICLE DEVELOPMENT IN THE US AND ITS IMPACT ON HD MAPS 163
TABLE 63 NORTH AMERICA: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY VEHICLE TYPE, 2020–2030 (USD MILLION) 163
TABLE 64 NORTH AMERICA: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY AUTOMATION LEVEL, 2020–2030 (USD MILLION) 164
TABLE 65 NORTH AMERICA: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY USAGE TYPE, 2020–2030 (USD MILLION) 164
TABLE 66 NORTH AMERICA: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SOLUTION TYPE, 2020–2030 (USD MILLION) 164
TABLE 67 NORTH AMERICA: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SERVICE TYPE, 2020–2030 (USD MILLION) 164
12.2.1 US 165
TABLE 68 US: VEHICLE PRODUCTION DATA, 2018-2020 (UNITS) 165
12.2.2 MEXICO 165
TABLE 69 MEXICO: VEHICLE PRODUCTION DATA, 2018-2020 (UNITS) 165
12.2.3 CANADA 166
TABLE 70 CANADA: VEHICLE PRODUCTION DATA, 2018-2020 (UNITS) 166
12.3 ASIA OCEANIA 166
FIGURE 54 ASIA OCEANIA: SNAPSHOT 167
TABLE 71 ASIA OCEANIA: AUTONOMOUS VEHICLE EFFORTS 167
TABLE 72 ASIA OCEANIA: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY VEHICLE TYPE, 2020–2030 (USD MILLION) 168
TABLE 73 ASIA OCEANIA: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY AUTOMATION LEVEL, 2020–2030 (USD MILLION) 168
TABLE 74 ASIA OCEANIA: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY USAGE TYPE, 2020–2030 (USD MILLION) 168
TABLE 75 ASIA OCEANIA: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SOLUTION TYPE, 2020–2030 (USD MILLION) 168
TABLE 76 ASIA OCEANIA: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SERVICE TYPE, 2020–2030 (USD MILLION) 169
12.3.1 CHINA 169
TABLE 77 CHINA: VEHICLE PRODUCTION DATA, 2018-2020 (UNITS) 170
TABLE 78 KEY COMPANIES IN AUTONOMOUS VEHICLE TECHNOLOGY AND THEIR KNOWN PARTNERS IN CHINA 170
TABLE 79 CHINA AUTONOMOUS VEHICLE TESTING RECORDS 171
12.3.2 JAPAN 171
TABLE 80 JAPAN: VEHICLE PRODUCTION DATA, 2018-2020 (UNITS) 171
12.3.3 INDIA 172
TABLE 81 INDIA: VEHICLE PRODUCTION DATA, 2018-2020 (UNITS) 172
12.3.4 SOUTH KOREA 172
TABLE 82 SOUTH KOREA: VEHICLE PRODUCTION DATA, 2018-2020 (UNITS) 172
12.4 EUROPE 172
FIGURE 55 EUROPE: HD MAP FOR AUTONOMOUS VEHICLE MARKET SNAPSHOT 173
TABLE 83 EUROPE: EFFORTS TOWARDS AUTONOMOUS VEHICLES 173
TABLE 84 EUROPE: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY VEHICLE TYPE, 2020–2030 (USD MILLION) 175
TABLE 85 EUROPE: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY LEVEL OF AUTOMATION, 2020–2030 (USD MILLION) 175
TABLE 86 EUROPE: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY USAGE TYPE, 2020–2030 (USD MILLION) 176
TABLE 87 EUROPE: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SOLUTION TYPE, 2020–2030 (USD MILLION) 176
TABLE 88 EUROPE: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SERVICE TYPE, 2020–2030 (USD MILLION) 176
12.4.1 GERMANY 177
TABLE 89 GERMANY: VEHICLE PRODUCTION DATA, 2018-2020 (UNITS) 177
12.4.2 SPAIN 177
TABLE 90 SPAIN: VEHICLE PRODUCTION DATA, 2018-2020 (UNITS) 177
12.4.3 ITALY 178
TABLE 91 ITALY: VEHICLE PRODUCTION DATA, 2018-2020 (UNITS) 178
12.4.4 FRANCE 178
TABLE 92 FRANCE: VEHICLE PRODUCTION DATA, 2018-2020 (UNITS) 178
12.4.5 UK 179
TABLE 93 UK: VEHICLE PRODUCTION DATA, 2019-2020 (UNITS) 179
12.5 ROW 179
FIGURE 56 ROW: HD MAP FOR AUTONOMOUS VEHICLE MARKET,
2021 VS. 2030 (USD MILLION) 180
TABLE 94 ROW: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY VEHICLE TYPE, 2020–2030 (USD MILLION) 180
TABLE 95 ROW: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY AUTOMATION LEVEL, 2020–2030 (USD MILLION) 180
TABLE 96 ROW: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY USAGE TYPE, 2020–2030 (USD MILLION) 181
TABLE 97 ROW: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SOLUTION TYPE, 2020–2030 (USD MILLION) 181
TABLE 98 ROW: HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SERVICE TYPE, 2020–2030 (USD MILLION) 181
12.5.1 BRAZIL 182
TABLE 99 BRAZIL: VEHICLE PRODUCTION DATA, 2018-2020 (UNITS) 182
12.5.2 SOUTH AFRICA 182
TABLE 100 SOUTH AFRICA: VEHICLE PRODUCTION DATA, 2018-2020 (UNITS) 182
12.5.3 ISRAEL 182
13 COMPETITIVE LANDSCAPE 183
13.1 OVERVIEW 183
TABLE 101 OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS IN THE HD MAP FOR AUTONOMOUS VEHICLE MARKET 183
13.2 MARKET RANKING ANALYSIS 184
FIGURE 57 MARKET RANKING ANALYSIS: HD MAP FOR AUTONOMOUS VEHICLE MARKET 184
13.3 COMPETITIVE LEADERSHIP MAPPING 185
13.3.1 STARS 185
13.3.2 EMERGING LEADERS 185
13.3.3 PERVASIVE 186
13.3.4 PARTICIPANTS 186
FIGURE 58 HD MAPS FOR AUTONOMOUS VEHICLES MARKET: COMPETITIVE LEADERSHIP MAPPING, 2021 186
TABLE 102 HD MAPS FOR AUTONOMOUS VEHICLES MARKET: COMPANY FOOTPRINT, 2021 187
TABLE 103 HD MAPS FOR AUTONOMOUS VEHICLES MARKET: SOLUTION FOOTPRINT, 2021 188
TABLE 104 HD MAPS FOR AUTONOMOUS VEHICLES MARKET: REGIONAL FOOTPRINT, 2021 189
13.4 SME COMPETITIVE LEADERSHIP MAPPING 190
13.4.1 PROGRESSIVE COMPANIES 190
13.4.2 RESPONSIVE COMPANIES 190
13.4.3 DYNAMIC COMPANIES 190
13.4.4 STARTING BLOCKS 190
FIGURE 59 HD MAP FOR AUTONOMOUS VEHICLES MARKET: SME/STARTUP COMPETITIVE LEADERSHIP MAPPING, 2021 191
TABLE 105 WINNERS VS. TAIL-ENDERS 192
14 COMPANY PROFILES 193
(Business overview, Products offerings, Recent developments, Product launches, Deals, MNM view, Key strengths/Right to win, Strategic choices made, and Weaknesses and competitive threats)*
14.1 NVIDIA 193
FIGURE 60 FEATURES OF NVIDIA DRIVE 193
TABLE 106 NVIDIA: BUSINESS OVERVIEW 194
FIGURE 61 NVIDIA: COMPANY SNAPSHOT 194
TABLE 107 NVIDIA: PRODUCT OFFERINGS 195
TABLE 108 NVIDIA: PRODUCT LAUNCHES 195
TABLE 109 NVIDIA: DEALS 196
14.2 TOMTOM 198
TABLE 110 MAPS OFFERED BY TOMTOM AND ITS FEATURES 198
TABLE 111 TOMTOM: BUSINESS OVERVIEW 199
FIGURE 62 TOMTOM: COMPANY SNAPSHOT 200
TABLE 112 TOMTOM: PRODUCT OFFERINGS 200
TABLE 113 TOMTOM: PRODUCT LAUNCHES 201
TABLE 114 TOMTOM: DEALS 201
14.3 HERE 204
TABLE 115 HERE: BUSINESS OVERVIEW 204
FIGURE 63 HERE: COMPANY SNAPSHOT 205
TABLE 116 HERE: PRODUCT OFFERINGS 205
TABLE 117 HERE HD: NEW PRODUCT DEVELOPMENTS 206
TABLE 118 HERE: DEALS 206
14.4 NAVINFO 209
TABLE 119 NAVINFO: BUSINESS OVERVIEW 209
FIGURE 64 NAVINFO: COMPANY SNAPSHOT 210
TABLE 120 MULTI-LAYER HD MAP BY NAVINFO 210
TABLE 121 NAVINFO: PRODUCT OFFERINGS 211
TABLE 122 NAVINFO: PRODUCT LAUNCHES 211
TABLE 123 NAVINFO: DEALS 211
14.5 CIVIL MAPS 214
TABLE 124 CIVIL MAPS: BUSINESS OVERVIEW 214
TABLE 125 CIVIL MAPS: PRODUCT OFFERINGS 214
TABLE 126 CIVIL MAPS: PRODUCT LAUNCHES 215
TABLE 127 CIVIL MAPS: DEALS 215
14.6 THE SANBORN MAP COMPANY 216
TABLE 128 THE SANBORN MAP COMPANY: BUSINESS OVERVIEW 216
TABLE 129 THE SANBORN MAP COMPANY: PRODUCT OFFERINGS 216
TABLE 130 THE SANBORN MAP COMPANY: PRODUCT LAUNCHES 217
TABLE 131 THE SANBORN MAP COMPANY: DEALS 217
14.7 MOMENTA 218
TABLE 132 MOMENTA: BUSINESS OVERVIEW 218
TABLE 133 MOMENTA: PRODUCT OFFERINGS 219
TABLE 134 MOMENTA : PRODUCT LAUNCHES 219
TABLE 135 MOMENTA: DEALS 220
14.8 NAVMII 222
TABLE 136 NAVMII: BUSINESS OVERVIEW 222
TABLE 137 NAVMII: PRODUCT/SOLUTION OFFERINGS 222
14.9 DYNAMIC MAP PLATFORM 223
TABLE 138 DYNAMIC MAP COMPANY: BUSINESS OVERVIEW 223
TABLE 139 DYNAMIC MAP COMPANY: PRODUCT/SOLUTION OFFERINGS 223
TABLE 140 DYNAMIC MAP PLATFORM: DEALS 224
14.10 MAPMYINDIA 226
TABLE 141 MAPMYINDIA: BUSINESS OVERVIEW 226
TABLE 142 MAPMYINDIA: PRODUCT/SOLUTION OFFERINGS 226
TABLE 143 MAPMYINDIA: DEALS 227
14.11 OTHER KEY PLAYERS 228
14.11.1 ASIA OCEANIA 228
14.11.1.1 RMSI 228
14.11.1.2 Zenrin 229
14.11.1.3 AutoNavi 229
14.11.1.4 Baidu 230
14.11.1.5 Woven Planet 231
14.11.2 EUROPE 232
14.11.2.1 Mapillary 232
14.11.2.2 Blickfeld 233
14.11.2.3 Geojunxion 234
14.11.3 NORTH AMERICA 235
14.11.3.1 CARMERA 235
14.11.3.2 Voxel Maps 236
14.11.4 ROW 237
14.11.4.1 Mobileye 237
*Details on Business overview, Products offerings, Recent developments, Product launches, Deals, MNM view, Key strengths/Right to win, Strategic choices made, and Weaknesses and competitive threats might not be captured in case of unlisted companies.
15 RECOMMENDATIONS BY MARKETSANDMARKETS 238
15.1 ASIA PACIFIC EXPECTED TO BE A FASTEST GROWING MARKET 238
15.2 CLOUD-BASED HD MAP: KEY FOCUS AREA 238
15.3 GROWING ADOPTION OF HD MAPS FOR COMMERCIAL MOBILITY 239
15.4 CONCLUSION 239
16 APPENDIX 240
16.1 DISCUSSION GUIDE 240
16.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 244
16.3 AVAILABLE CUSTOMIZATIONS 246
16.4 AUTHOR DETAILS 247



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