HD Map for Autonomous Vehicle Market Overview

The Global HD Map for Autonomous Vehicle Market size is expected to grow from USD 3 billion in 2022 to USD 23.15 billion by 2030, at a CAGR of 29.10% during the forecast period (2023-2030).

To safely maneuver autonomous cars, the HD map is a semantic layer that detects lane borders, road signals, crosswalks, traffic lights, and other obstacles. Autonomous vehicles' high-resolution onboard maps provide exact location information about adjacent infrastructure, routes, and habitats. Furthermore, these maps were created specifically for self-driving vehicles, and they have an extraordinarily high-resolution capability with centimeter-level accuracy. It also offers virtual support and can be simply updated regularly. Because autonomous cars have the potential to endanger human lives, they must meet stringent safety requirements. As a result, several organizations, including map-designed hardware/software product manufacturers, have banded together to develop this mapping technology, which is aimed primarily toward self-driving cars. Highly precise sensors, Lidar, digital cameras, and other modern technologies are used to collect data. With such sophisticated technology and widespread market opportunities, HD Map for Autonomous Vehicle Market is expected to grow during the forecasted period.

Dynamics and Factors of HD Map for Autonomous Vehicle Market

Drivers:

An Innovation In Autonomous Vehicles Pushing The Trend Ahead, Reflecting On The Growth Of HD Map For The Autonomous Vehicle Market

Around the world, there has been a surge in interest in self-driving cars. The study and development of autonomous driving technology are a priority for major participants in the autonomous driving arena. Leading automakers including Ford, Volkswagen, Mercedes-Benz, Toyota, Audi, General Motors, Honda, and Tesla have already announced ambitions to create self-driving cars. Audi, for example, intends to invest around USD 16 billion in self-driving and sustainable technology by 2023. The expansion of autonomous vehicles is being driven by major benefits such as enhanced efficiency, elimination of human errors in driving, environmentally friendly operation, and so on. With the growing population of cities, transportation congestion has become a serious issue. When compared to human-driven vehicles, autonomous vehicles can maintain shorter minimum distances between two vehicles, resulting in improved traffic flow, reduced emissions, and reduced congestion. China is regarded as the most opportune country in the Asia Pacific area for the deployment of autonomous vehicles. Government backing and investments in the development of autonomous vehicles by autonomous OEMs and technology companies like Baidu and DiDi are expected to propel the market in China forward. The rise of the market for high-definition maps is inextricably linked to the growth of the market for autonomous cars. The use of high-definition maps in autonomous vehicles will provide accurate navigation and a safe journey, increasing the demand for high-definition maps.

Restraints:

Stringent Laws And Regulations Are The Restraining Factors

The development of HD maps faces several legal and privacy challenges. Data collection restrictions, location privacy, licensing, intellectual property rights, geographic information use, and geospatial data storage are all legal problems. There are a variety of laws and regulations governing mapping technology, which differ depending on where you live. Geospatial data mapping is prohibited in some nations.

Opportunities:

The Rental Business Segment In Autonomous Cars Presents A Bright Opportunity

The world is moving toward linked, shared, electrified, and eventually autonomous vehicles due to rapid advancements in automotive technology. Autonomous vehicles are projected to play a crucial part in automobile rental services shortly, as consumers will trust autonomous cars as a safe means of transportation as technology advances. Waymo, a leading autonomous driving technology development business, teamed with Avis Budget Group, a self-driving rental car company with 580,000 vehicles in 11,000 sites across 180 countries.  Moreover, Rent-A-Car, the nation's largest rental car company, has partnered with autonomous driving technology firm Voyage to manage its fleet of self-driving automobiles. The driverless vehicle fleet will be maintained by the automobile rental firm, according to the agreement. Renting an autonomous car is predicted to lower per-mile costs, which is likely to be a major factor in the growth of these vehicles. With similar advancements in the United States, autonomous car-rental services are likely to hit the roads in the next 5 to 7 years. This is a major market opportunity for HD maps. Leading transportation network businesses in the Asia Pacific area, including Ola and Uber, are also investing in autonomous vehicle technology, which is projected to benefit the region's economy.

Challenges:

The Limited Size Of Map Datasets Is A Restraining Factor

Currently, most autonomous vehicles are well connected with the internet and digital platforms which allows them to integrate various digital services. HD map feature is one of the important integrations in autonomous cars. One of the restraining factors in the HD maps for the autonomous car is the constant updates for the HD map system in the car depending on the high-speed connectivity. Since 5G internet facilities are not fully harnessed in many countries, the glitches in map loading and updated firmware minimize the HD map experience which is a challenging factor in HD Map for Autonomous Vehicle Market.

Segmentation Analysis of HD Map for Autonomous Vehicle Market

By Solution, the Cloud-based segment is dominating the HD Map for Autonomous Vehicle Market. In the global market, the cloud-based sector holds the majority of the market share. HP map technology, which is cloud-based, saves time and produces precise results with less work and space. Furthermore, leading industry players such as Navinfo, HERE, TomTom, NVIDIA, and others favor cloud-based solutions since they consider the most recent development and real-time services with limited time capability. In the future, this solution is projected to take the lead. Designers may control everything from colors to typefaces to 3D features and camera angles with an embedded design solution, as well as include proprietary data like charging stations, dealerships, and parking spots. However, because this approach is used by so few organizations for HD maps, it contributes less than the cloud-based solution.

By level of Automation, the semi-autonomous sector now has the biggest market share in the world. Except in a few nations, the present trend is toward automation with semi-autonomous cars, as there is no supporting technology for fully autonomous vehicles. HERE Technologies and TomTom develop maps for semi-autonomous level 2-3 vehicles that emphasize new mobility features like adaptive cruise control and lane-keeping assistance. Furthermore, the increase of HD maps for semi-autonomous vehicles is being fueled by considerable progress and existing on-road presence in countries.  The HD map for the completely autonomous car market is in the early stages of development, and firms are rushing to get a foothold in these level 5 autonomy technologies. Infrastructural advancements, government assistance, and anticipated company debuts in the next years are predicted to result in completely autonomous vehicles and their HD maps throughout the forecast period.

By Vehicle Type, Passenger vehicle dominates the HD Map for Autonomous Vehicle Market.  In the global market, passenger vehicles account for the lion's share. In the market for passenger car HD maps, there have been numerous advancements. Self-driving automobiles are the specialty of the firms operating in the HD map for autonomous vehicles. Rather than commercial vehicles, they are primarily interested in passenger car mobility. Furthermore, autonomous vehicle and technology suppliers are growing their operations and strategies in specific passenger car market segments, indicating that this market segment will be a key growth opportunity shortly. Commercial vehicles now contribute far less to the HD map for the autonomous car market than passenger vehicles because of the complicated structure and required data processing output. Some self-driving trucks have the technology, but it will take a long time to achieve governmental permission, widespread acceptance, and profitability. Embark and, two companies that specialize in HD maps for self-driving trucks, are developing Level 4 autonomous technology for Class 8 semi-trucks. Perception data is input into Embark's Vision-Map Fusion (VMF) system, which is built on an HD map with the use of a digital camera, sensor, and another component.

Regional Analysis of HD Map For Autonomous Vehicle Market

North America dominates the HD Map for Autonomous Vehicle Market. In the small car category, the region has seen a shift in focus from collision mitigation to the adoption of ADAS technologies, among other things. Many autonomous car makers have been pushed to integrate advanced mapping features to alleviate consumer perceptions and safety concerns as the demand for such technology-equipped vehicles grow. The deaths caused by rod accidents have been a serious source of concern for the region's government and regulatory organizations. Advanced mapping features are becoming more regulated at the federal level, which could lead to widespread implementation in the next years.

The European region is expected to be dominating during the forecasted period.  The European region benefits from the ongoing development and adoption of new technology. The growth of the HD map for the autonomous vehicle market in this area is due to technological progress in the sector for efficient enforcement of safety features and higher driving quality. In the projected period, rising disposable incomes, favorable government policies, and greater use of electronic components for advanced features and better safety and driving experience in future vehicles would drive the market for HD map-based autonomous vehicles.

COVID-19 Impact Analysis On HD Map For Autonomous Vehicle Market

The COVID-19 pandemic has wreaked havoc on a variety of industries around the world. Various public health guidelines were implemented in various nations throughout the world to limit the number of cases and decrease the spread of the coronavirus. Declaring national emergencies, enforcing stay-at-home orders, closing non-essential business operations and schools, banning public gatherings, imposing curfews, distributing digital passes, and allowing police to restrict citizen movements within a country, as well as closing international borders, are all COVID-19 protocols. Due to the worldwide epidemic, automotive manufacturing was halted, causing a shortage of high-definition maps for self-driving cars. There was also a labor shortage due to social distancing practices and other constraints, which impeded the development of HD map hardware. Furthermore, the global economic slump and a decline in people's disposable money are expected to influence the autonomous vehicle market. Although autonomous vehicles are still in their infancy, the pandemic has hurt the HD map of autonomous vehicle market size for the year 2020.

Players Coverd In HD Map For Autonomous Vehicle Market

• Autonavi
• Baidu
• Civil Maps
•  Deepmap Inc.
•  Here Technologies
• Mapillary
•  Mapmyindia
•  Momenta 
• Naviform 
• Navmii 
• NVIDIA
• RMSI
• Sanborn Map Company
• Tom-Tom
• Zenrin and other major players.

Key Industry Developments In The HD Map For Autonomous Vehicle Market

March 2022, NVidia launched a new mapping platform that will deliver ground truth mapping coverage of over 300,000 miles of roadway in North America, Europe, and Asia to the autonomous car sector.

July 2021, The HD mapping firm "Camera" was acquired by Toyota's Woven Planet Holding, which focuses on innovative transportation technology. The company has made a series of acquisitions, including a USD 550 million purchase of a Lyft autonomous vehicle unit (Level 5) from Lyft.

Chapter 1: Introduction
 1.1 Research Objectives
 1.2 Research Methodology
 1.3 Research Process
 1.4 Scope and Coverage
  1.4.1 Market Definition
  1.4.2 Key Questions Answered
 1.5 Market Segmentation

Chapter 2:Executive Summary

Chapter 3:Growth Opportunities By Segment
 3.1 By Solution
 3.2 By Level Of Automation
 3.3 By Vehicle Type

Chapter 4: Market Landscape
 4.1 Porter's Five Forces Analysis
  4.1.1 Bargaining Power of Supplier
  4.1.2 Threat of New Entrants
  4.1.3 Threat of Substitutes
  4.1.4 Competitive Rivalry
  4.1.5 Bargaining Power Among Buyers
 4.2 Industry Value Chain Analysis
 4.3 Market Dynamics
  4.3.1 Drivers
  4.3.2 Restraints
  4.3.3 Opportunities
  4.5.4 Challenges
 4.4 Pestle Analysis
 4.5 Technological Roadmap
 4.6 Regulatory Landscape
 4.7 SWOT Analysis
 4.8 Price Trend Analysis
 4.9 Patent Analysis
 4.10 Analysis of the Impact of Covid-19
  4.10.1 Impact on the Overall Market
  4.10.2 Impact on the Supply Chain
  4.10.3 Impact on the Key Manufacturers
  4.10.4 Impact on the Pricing

Chapter 5: HD Map for Autonomous Vehicle Market by Solution
 5.1 HD Map for Autonomous Vehicle Market Overview Snapshot and Growth Engine
 5.2 HD Map for Autonomous Vehicle Market Overview
 5.3 Cloud-Based
  5.3.1 Introduction and Market Overview
  5.3.2 Historic and Forecasted Market Size (2016-2028F)
  5.3.3 Key Market Trends, Growth Factors and Opportunities
  5.3.4 Cloud-Based: Grographic Segmentation
 5.4 Embedded
  5.4.1 Introduction and Market Overview
  5.4.2 Historic and Forecasted Market Size (2016-2028F)
  5.4.3 Key Market Trends, Growth Factors and Opportunities
  5.4.4 Embedded: Grographic Segmentation

Chapter 6: HD Map for Autonomous Vehicle Market by Level Of Automation
 6.1 HD Map for Autonomous Vehicle Market Overview Snapshot and Growth Engine
 6.2 HD Map for Autonomous Vehicle Market Overview
 6.3 Semi-Autonomous
  6.3.1 Introduction and Market Overview
  6.3.2 Historic and Forecasted Market Size (2016-2028F)
  6.3.3 Key Market Trends, Growth Factors and Opportunities
  6.3.4 Semi-Autonomous: Grographic Segmentation
 6.4 Fully Autonomous
  6.4.1 Introduction and Market Overview
  6.4.2 Historic and Forecasted Market Size (2016-2028F)
  6.4.3 Key Market Trends, Growth Factors and Opportunities
  6.4.4 Fully Autonomous: Grographic Segmentation

Chapter 7: HD Map for Autonomous Vehicle Market by Vehicle Type
 7.1 HD Map for Autonomous Vehicle Market Overview Snapshot and Growth Engine
 7.2 HD Map for Autonomous Vehicle Market Overview
 7.3 Passenger
  7.3.1 Introduction and Market Overview
  7.3.2 Historic and Forecasted Market Size (2016-2028F)
  7.3.3 Key Market Trends, Growth Factors and Opportunities
  7.3.4 Passenger: Grographic Segmentation
 7.4 Commercial
  7.4.1 Introduction and Market Overview
  7.4.2 Historic and Forecasted Market Size (2016-2028F)
  7.4.3 Key Market Trends, Growth Factors and Opportunities
  7.4.4 Commercial: Grographic Segmentation

Chapter 8: Company Profiles and Competitive Analysis
 8.1 Competitive Landscape
  8.1.1 Competitive Positioning
  8.1.2 HD Map for Autonomous Vehicle Sales and Market Share By Players
  8.1.3 Industry BCG Matrix
  8.1.4 Ansoff Matrix
  8.1.5 HD Map for Autonomous Vehicle Industry Concentration Ratio (CR5 and HHI)
  8.1.6 Top 5 HD Map for Autonomous Vehicle Players Market Share
  8.1.7 Mergers and Acquisitions
  8.1.8 Business Strategies By Top Players
 8.2 AUTONAVI BAIDU CIVIL MAPS
  8.2.1 Company Overview
  8.2.2 Key Executives
  8.2.3 Company Snapshot
  8.2.4 Operating Business Segments
  8.2.5 Product Portfolio
  8.2.6 Business Performance
  8.2.7 Key Strategic Moves and Recent Developments
  8.2.8 SWOT Analysis
 8.3 DEEPMAP INC.
 8.4 HERE TECHNOLOGIES
 8.5 MAPILLARY
 8.6 MAPMYINDIA
 8.7 MOMENTA
 8.8 NAVIFORM
 8.9 NAVMII
 8.10 NVIDIA
 8.11 RMSI
 8.12 SANBORN MAP COMPANY
 8.13 TOM-TOM
 8.14 ZENRIN
 8.15 OTHER MAJOR PLAYERS

Chapter 9: Global HD Map for Autonomous Vehicle Market Analysis, Insights and Forecast, 2016-2028
 9.1 Market Overview
 9.2 Historic and Forecasted Market Size By Solution
  9.2.1 Cloud-Based
  9.2.2 Embedded
 9.3 Historic and Forecasted Market Size By Level Of Automation
  9.3.1 Semi-Autonomous
  9.3.2 Fully Autonomous
 9.4 Historic and Forecasted Market Size By Vehicle Type
  9.4.1 Passenger
  9.4.2 Commercial

Chapter 10: North America HD Map for Autonomous Vehicle Market Analysis, Insights and Forecast, 2016-2028
 10.1 Key Market Trends, Growth Factors and Opportunities
 10.2 Impact of Covid-19
 10.3 Key Players
 10.4 Key Market Trends, Growth Factors and Opportunities
 10.4 Historic and Forecasted Market Size By Solution
  10.4.1 Cloud-Based
  10.4.2 Embedded
 10.5 Historic and Forecasted Market Size By Level Of Automation
  10.5.1 Semi-Autonomous
  10.5.2 Fully Autonomous
 10.6 Historic and Forecasted Market Size By Vehicle Type
  10.6.1 Passenger
  10.6.2 Commercial
 10.7 Historic and Forecast Market Size by Country
  10.7.1 U.S.
  10.7.2 Canada
  10.7.3 Mexico

Chapter 11: Europe HD Map for Autonomous Vehicle Market Analysis, Insights and Forecast, 2016-2028
 11.1 Key Market Trends, Growth Factors and Opportunities
 11.2 Impact of Covid-19
 11.3 Key Players
 11.4 Key Market Trends, Growth Factors and Opportunities
 11.4 Historic and Forecasted Market Size By Solution
  11.4.1 Cloud-Based
  11.4.2 Embedded
 11.5 Historic and Forecasted Market Size By Level Of Automation
  11.5.1 Semi-Autonomous
  11.5.2 Fully Autonomous
 11.6 Historic and Forecasted Market Size By Vehicle Type
  11.6.1 Passenger
  11.6.2 Commercial
 11.7 Historic and Forecast Market Size by Country
  11.7.1 Germany
  11.7.2 U.K.
  11.7.3 France
  11.7.4 Italy
  11.7.5 Russia
  11.7.6 Spain
  11.7.7 Rest of Europe

Chapter 12: Asia-Pacific HD Map for Autonomous Vehicle Market Analysis, Insights and Forecast, 2016-2028
 12.1 Key Market Trends, Growth Factors and Opportunities
 12.2 Impact of Covid-19
 12.3 Key Players
 12.4 Key Market Trends, Growth Factors and Opportunities
 12.4 Historic and Forecasted Market Size By Solution
  12.4.1 Cloud-Based
  12.4.2 Embedded
 12.5 Historic and Forecasted Market Size By Level Of Automation
  12.5.1 Semi-Autonomous
  12.5.2 Fully Autonomous
 12.6 Historic and Forecasted Market Size By Vehicle Type
  12.6.1 Passenger
  12.6.2 Commercial
 12.7 Historic and Forecast Market Size by Country
  12.7.1 China
  12.7.2 India
  12.7.3 Japan
  12.7.4 Singapore
  12.7.5 Australia
  12.7.6 New Zealand
  12.7.7 Rest of APAC

Chapter 13: Middle East & Africa HD Map for Autonomous Vehicle Market Analysis, Insights and Forecast, 2016-2028
 13.1 Key Market Trends, Growth Factors and Opportunities
 13.2 Impact of Covid-19
 13.3 Key Players
 13.4 Key Market Trends, Growth Factors and Opportunities
 13.4 Historic and Forecasted Market Size By Solution
  13.4.1 Cloud-Based
  13.4.2 Embedded
 13.5 Historic and Forecasted Market Size By Level Of Automation
  13.5.1 Semi-Autonomous
  13.5.2 Fully Autonomous
 13.6 Historic and Forecasted Market Size By Vehicle Type
  13.6.1 Passenger
  13.6.2 Commercial
 13.7 Historic and Forecast Market Size by Country
  13.7.1 Turkey
  13.7.2 Saudi Arabia
  13.7.3 Iran
  13.7.4 UAE
  13.7.5 Africa
  13.7.6 Rest of MEA

Chapter 14: South America HD Map for Autonomous Vehicle Market Analysis, Insights and Forecast, 2016-2028
 14.1 Key Market Trends, Growth Factors and Opportunities
 14.2 Impact of Covid-19
 14.3 Key Players
 14.4 Key Market Trends, Growth Factors and Opportunities
 14.4 Historic and Forecasted Market Size By Solution
  14.4.1 Cloud-Based
  14.4.2 Embedded
 14.5 Historic and Forecasted Market Size By Level Of Automation
  14.5.1 Semi-Autonomous
  14.5.2 Fully Autonomous
 14.6 Historic and Forecasted Market Size By Vehicle Type
  14.6.1 Passenger
  14.6.2 Commercial
 14.7 Historic and Forecast Market Size by Country
  14.7.1 Brazil
  14.7.2 Argentina
  14.7.3 Rest of SA

Chapter 15 Investment Analysis

Chapter 16 Analyst Viewpoint and Conclusion

LIST OF TABLES

TABLE 001. EXECUTIVE SUMMARY
TABLE 002. HD MAP FOR AUTONOMOUS VEHICLE MARKET BARGAINING POWER OF SUPPLIERS
TABLE 003. HD MAP FOR AUTONOMOUS VEHICLE MARKET BARGAINING POWER OF CUSTOMERS
TABLE 004. HD MAP FOR AUTONOMOUS VEHICLE MARKET COMPETITIVE RIVALRY
TABLE 005. HD MAP FOR AUTONOMOUS VEHICLE MARKET THREAT OF NEW ENTRANTS
TABLE 006. HD MAP FOR AUTONOMOUS VEHICLE MARKET THREAT OF SUBSTITUTES
TABLE 007. HD MAP FOR AUTONOMOUS VEHICLE MARKET BY SOLUTION
TABLE 008. CLOUD-BASED MARKET OVERVIEW (2016-2028)
TABLE 009. EMBEDDED MARKET OVERVIEW (2016-2028)
TABLE 010. HD MAP FOR AUTONOMOUS VEHICLE MARKET BY LEVEL OF AUTOMATION
TABLE 011. SEMI-AUTONOMOUS MARKET OVERVIEW (2016-2028)
TABLE 012. FULLY AUTONOMOUS MARKET OVERVIEW (2016-2028)
TABLE 013. HD MAP FOR AUTONOMOUS VEHICLE MARKET BY VEHICLE TYPE
TABLE 014. PASSENGER MARKET OVERVIEW (2016-2028)
TABLE 015. COMMERCIAL MARKET OVERVIEW (2016-2028)
TABLE 016. NORTH AMERICA HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SOLUTION (2016-2028)
TABLE 017. NORTH AMERICA HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY LEVEL OF AUTOMATION (2016-2028)
TABLE 018. NORTH AMERICA HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY VEHICLE TYPE (2016-2028)
TABLE 019. N HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY COUNTRY (2016-2028)
TABLE 020. EUROPE HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SOLUTION (2016-2028)
TABLE 021. EUROPE HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY LEVEL OF AUTOMATION (2016-2028)
TABLE 022. EUROPE HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY VEHICLE TYPE (2016-2028)
TABLE 023. HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY COUNTRY (2016-2028)
TABLE 024. ASIA PACIFIC HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SOLUTION (2016-2028)
TABLE 025. ASIA PACIFIC HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY LEVEL OF AUTOMATION (2016-2028)
TABLE 026. ASIA PACIFIC HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY VEHICLE TYPE (2016-2028)
TABLE 027. HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY COUNTRY (2016-2028)
TABLE 028. MIDDLE EAST & AFRICA HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SOLUTION (2016-2028)
TABLE 029. MIDDLE EAST & AFRICA HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY LEVEL OF AUTOMATION (2016-2028)
TABLE 030. MIDDLE EAST & AFRICA HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY VEHICLE TYPE (2016-2028)
TABLE 031. HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY COUNTRY (2016-2028)
TABLE 032. SOUTH AMERICA HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY SOLUTION (2016-2028)
TABLE 033. SOUTH AMERICA HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY LEVEL OF AUTOMATION (2016-2028)
TABLE 034. SOUTH AMERICA HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY VEHICLE TYPE (2016-2028)
TABLE 035. HD MAP FOR AUTONOMOUS VEHICLE MARKET, BY COUNTRY (2016-2028)
TABLE 036. AUTONAVI BAIDU CIVIL MAPS: SNAPSHOT
TABLE 037. AUTONAVI BAIDU CIVIL MAPS: BUSINESS PERFORMANCE
TABLE 038. AUTONAVI BAIDU CIVIL MAPS: PRODUCT PORTFOLIO
TABLE 039. AUTONAVI BAIDU CIVIL MAPS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 039. DEEPMAP INC.: SNAPSHOT
TABLE 040. DEEPMAP INC.: BUSINESS PERFORMANCE
TABLE 041. DEEPMAP INC.: PRODUCT PORTFOLIO
TABLE 042. DEEPMAP INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 042. HERE TECHNOLOGIES: SNAPSHOT
TABLE 043. HERE TECHNOLOGIES: BUSINESS PERFORMANCE
TABLE 044. HERE TECHNOLOGIES: PRODUCT PORTFOLIO
TABLE 045. HERE TECHNOLOGIES: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 045. MAPILLARY: SNAPSHOT
TABLE 046. MAPILLARY: BUSINESS PERFORMANCE
TABLE 047. MAPILLARY: PRODUCT PORTFOLIO
TABLE 048. MAPILLARY: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 048. MAPMYINDIA: SNAPSHOT
TABLE 049. MAPMYINDIA: BUSINESS PERFORMANCE
TABLE 050. MAPMYINDIA: PRODUCT PORTFOLIO
TABLE 051. MAPMYINDIA: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 051. MOMENTA: SNAPSHOT
TABLE 052. MOMENTA: BUSINESS PERFORMANCE
TABLE 053. MOMENTA: PRODUCT PORTFOLIO
TABLE 054. MOMENTA: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 054. NAVIFORM: SNAPSHOT
TABLE 055. NAVIFORM: BUSINESS PERFORMANCE
TABLE 056. NAVIFORM: PRODUCT PORTFOLIO
TABLE 057. NAVIFORM: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 057. NAVMII: SNAPSHOT
TABLE 058. NAVMII: BUSINESS PERFORMANCE
TABLE 059. NAVMII: PRODUCT PORTFOLIO
TABLE 060. NAVMII: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 060. NVIDIA: SNAPSHOT
TABLE 061. NVIDIA: BUSINESS PERFORMANCE
TABLE 062. NVIDIA: PRODUCT PORTFOLIO
TABLE 063. NVIDIA: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 063. RMSI: SNAPSHOT
TABLE 064. RMSI: BUSINESS PERFORMANCE
TABLE 065. RMSI: PRODUCT PORTFOLIO
TABLE 066. RMSI: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 066. SANBORN MAP COMPANY: SNAPSHOT
TABLE 067. SANBORN MAP COMPANY: BUSINESS PERFORMANCE
TABLE 068. SANBORN MAP COMPANY: PRODUCT PORTFOLIO
TABLE 069. SANBORN MAP COMPANY: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 069. TOM-TOM: SNAPSHOT
TABLE 070. TOM-TOM: BUSINESS PERFORMANCE
TABLE 071. TOM-TOM: PRODUCT PORTFOLIO
TABLE 072. TOM-TOM: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 072. ZENRIN: SNAPSHOT
TABLE 073. ZENRIN: BUSINESS PERFORMANCE
TABLE 074. ZENRIN: PRODUCT PORTFOLIO
TABLE 075. ZENRIN: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 075. OTHER MAJOR PLAYERS: SNAPSHOT
TABLE 076. OTHER MAJOR PLAYERS: BUSINESS PERFORMANCE
TABLE 077. OTHER MAJOR PLAYERS: PRODUCT PORTFOLIO
TABLE 078. OTHER MAJOR PLAYERS: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

FIGURE 001. YEARS CONSIDERED FOR ANALYSIS
FIGURE 002. SCOPE OF THE STUDY
FIGURE 003. HD MAP FOR AUTONOMOUS VEHICLE MARKET OVERVIEW BY REGIONS
FIGURE 004. PORTER'S FIVE FORCES ANALYSIS
FIGURE 005. BARGAINING POWER OF SUPPLIERS
FIGURE 006. COMPETITIVE RIVALRYFIGURE 007. THREAT OF NEW ENTRANTS
FIGURE 008. THREAT OF SUBSTITUTES
FIGURE 009. VALUE CHAIN ANALYSIS
FIGURE 010. PESTLE ANALYSIS
FIGURE 011. HD MAP FOR AUTONOMOUS VEHICLE MARKET OVERVIEW BY SOLUTION
FIGURE 012. CLOUD-BASED MARKET OVERVIEW (2016-2028)
FIGURE 013. EMBEDDED MARKET OVERVIEW (2016-2028)
FIGURE 014. HD MAP FOR AUTONOMOUS VEHICLE MARKET OVERVIEW BY LEVEL OF AUTOMATION
FIGURE 015. SEMI-AUTONOMOUS MARKET OVERVIEW (2016-2028)
FIGURE 016. FULLY AUTONOMOUS MARKET OVERVIEW (2016-2028)
FIGURE 017. HD MAP FOR AUTONOMOUS VEHICLE MARKET OVERVIEW BY VEHICLE TYPE
FIGURE 018. PASSENGER MARKET OVERVIEW (2016-2028)
FIGURE 019. COMMERCIAL MARKET OVERVIEW (2016-2028)
FIGURE 020. NORTH AMERICA HD MAP FOR AUTONOMOUS VEHICLE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 021. EUROPE HD MAP FOR AUTONOMOUS VEHICLE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 022. ASIA PACIFIC HD MAP FOR AUTONOMOUS VEHICLE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 023. MIDDLE EAST & AFRICA HD MAP FOR AUTONOMOUS VEHICLE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 024. SOUTH AMERICA HD MAP FOR AUTONOMOUS VEHICLE MARKET OVERVIEW BY COUNTRY (2016-2028)