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PUBLISHER: UnivDatos Market Insights Pvt Ltd | PRODUCT CODE: 1310427

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PUBLISHER: UnivDatos Market Insights Pvt Ltd | PRODUCT CODE: 1310427

HD Maps for Autonomous Vehicle Market: Current Analysis and Forecast (2022-2030)

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A high-definition map is a precisely accurate map used in autonomous vehicles and contains features that are not normally present on traditional maps. The autonomous vehicle is no more futuristic, major companies operating in the industry have launched several cars in various regions and these vehicles bring a wide range of benefits in the near future from reduced accidents and reduced traffic congestion to uplift transportation accessibility. As these maps are comprised of different data sources including Global Navigation Satellite Systems (GNSS), radar, IMUs, cameras, and LiDAR to operate in complex environments more safely and effectively than human drivers. In recent years, the demand for hd maps in autonomous vehicles has risen dramatically due to the growing demand for autonomous vehicles in the market, and the increasing number of partners with multiple software and map-making firms to develop innovative and technologically advanced products. As major players in the market are focusing on research and development of autonomous technology as it has increased efficiency, eliminated human errors, reduction of congestion which has further skyrocketed the demand for HD maps for autonomous vehicles in the market. For instance, in 2022, General Motors stated at CES 2022, the company has upped its combined investment in electric and driverless vehicles to USD 35 billion, including USD 1 billion for autonomous vehicles, and the Super Cruise advanced driver assistance is available in the Cadillac Escalade, Cadillac CT4, Cadillac CT5, Chevrolet Silverado, GMC Hummer EV, and GMC Sierra created the demand for HD maps in autonomous vehicle market.

The HD Maps for Autonomous Vehicle Market is expected to grow at a steady rate of around 32% owing to the burgeoning adoption of autonomous vehicles. Additionally, the big giant's involvement in investment for advanced navigation systems, driver assistance, and automated driving has catered to the demand for hd maps for autonomous vehicles. Moreover, the growing adoption of ADAS features in the vehicle has forced manufacturers to incorporate advanced mapping specifications for safety purposes raising the demand for hd maps for the autonomous vehicle market. For instance, in 2021, NVIDIA a US-based company involved in the development and deployment of software-defined autonomous vehicles acquired DeepMap, to expand its mapping products. DeepMap is a startup dedicated to building high-definition maps for autonomous vehicles to navigate the world safely.

Based on service type, the market is segmented into mapping, localization, update and maintenance, and advertisement. The localization category is currently dominating the market and is expected to see the same trend in the forecast period. The major factor that has shaped the growth of this segment is its accurate and precise positioning and orientation in real-time, which is fundamental to the functioning of autonomous vehicles. These vehicles require the surrounding environment information such as traffic controls, roadway geometry, and other objects, in order to perform planning and control with the help of a bunch of sensors, cameras, radars, and lidars. Moreover, these sensors cannot detect the physical environments that are blocked by other vehicles, to bypass this problem hd maps are used in the autonomous vehicle. Additionally, these maps are accessing information about the surroundings and stored on maps further improving the overall experience of the passengers

Based on vehicle type, the market is segmented into passenger vehicles and commercial vehicles. The passenger vehicle segment holds the major share of the global market. As the autonomous vehicle is still in the developing phase, the major players in the market are looking to develop the passenger segment rather than commercial vehicles. Moreover, passenger vehicles tend to have a large consumer base and are often purchased by individuals for commuting purposes as the total number of individuals who require personal transportation for daily commuting is larger than businesses and organizations that require commercial vehicles for their operations

On the basis of the solution, the market is categorized into cloud-based and embedded. Among these, the cloud-based segment is expected to hold a significant share of the market in 2022 and is expected to perform the same in the forecast period. This is mainly due to the cloud-based having an interactive user interface with more loaded features compared with embedded maps which are more static in nature. The main objective of this map is to provide routing information from points A to B and add contextual graphic information to aid user interpretation of the guidance services

On the basis of usage type, the market is bifurcated into personal mobility and commercial mobility. Among these, personal mobility is currently dominating the market and is expected to dominate in the forecast period, owing to the increased adoption of autonomous vehicles for personal usage purposes around the world. The personal mobility segment has been focused on for longer, with the big giants like Tesla, Ford, and BMW continuously developing new technology for personal mobility as it targets the general population's transportation mode

Based on the level of autonomy, the hd maps for the autonomous vehicle market have been classified into semi-autonomous(L2, L3), and fully autonomous(L4, L5). The semi-autonomous is currently leading the market as the fully-autonomous vehicle is still in the developing and testing phases, thus the semi-autonomous have a wide customer base. As the fully autonomous segment is still in the testing phase, more people believe that semi-autonomous vehicles are more safe and more reliable and improve the driving experience with the intervention of humans. HD maps play an important role in ensuring the safety and reliability of the semi-autonomous driving system that provides precise and accurate positioning and orientation.

For a better understanding of the market adoption of HD maps for the autonomous vehicle industry, the market is analyzed based on its worldwide presence in the countries such as North America (U.S., Canada, Mexico, Rest of North America), Europe (Germany, U.K., France, Italy, Spain, Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, Rest of Asia-Pacific), Rest of World. The Asia Pacific region is projected to be the fastest growing region in the forecast period as the region is going through the heavy automotive expanding industry with major big giants such as Hyundai, BYD, Mahindra, and others. Moreover, countries such as China and India have increased their investments in research and development, which also supports government policies that have propelled the growth of HD maps for autonomous markets. For instance, in August 2021, China revamped its regulations on driverless car testing allowing qualified firms to conduct trials of autonomous vehicles used for transporting passengers and goods on highways and city roads in an attempt to accelerate the commercialization of self-driving technology. Furthermore, the region is a hub for IT infrastructure and home to various OEMs such as Navinfo and Momenta that develop technologically advanced maps and collaborate with companies like HERE and Analog Devices, boosting the growth of HD maps for the autonomous vehicle market.

Some of the major players operating in the market include: TomTom International BV; HERE; Nvidia Corporation; Dynamic Map Platform Co., Ltd.; The Sanborn Map Company, Inc.; Mapbox; Waymo LLC; Civil Maps; Woven by Toyoyta; and Navinfo.

Product Code: UMAU2118069

TABLE OF CONTENTS

1 MARKET INTRODUCTION

  • 1.1. Market Definitions
  • 1.2. Main Objective
  • 1.3. Stakeholders
  • 1.4. Limitation

2 RESEARCH METHODOLOGY OR ASSUMPTION

  • 2.1. Research Process of the Market
  • 2.2. Research Methodology of the HD Maps for Autonomous Vehicle Market
  • 2.3. Respondent Profile

3 MARKET SYNOPSIS

4 EXECUTIVE SUMMARY

5 GLOBAL HD MAPS FOR AUTONOMOUS VEHICLE MARKET COVID-19 IMPACT

6 GLOBAL HD MAPS FOR AUTONOMOUS VEHICLE MARKET REVENUE, 2020-2028F

7 MARKET INSIGHTS BY SERVICE TYPE

  • 7.1. Mapping
  • 7.2. Localization
  • 7.3. Update and Maintenance
  • 7.4. Advertisement

8 MARKET INSIGHTS BY VEHICLE TYPE

  • 8.1. Passenger Vehicle
  • 8.2. Commercial Vehicle

9 MARKET INSIGHTS BY SOLUTION

  • 9.1. Cloud Based
  • 9.2. Embedded

10 MARKET INSIGHTS BY USAGE TYPE

  • 10.1. Personal Mobility
  • 10.2. Commercial Mobility

11 MARKET INSIGHTS BY LEVEL OF AUTONOMY

  • 11.1. Semi-Autonomous
    • 11.1.1. Level 2
    • 11.1.2. Level 3
  • 11.2. Fully-Autonomous
    • 11.2.1. Level 4
    • 11.2.2. Level 5

12 MARKET INSIGHTS BY REGION

  • 12.1. North America
    • 12.1.1. U.S.
    • 12.1.2. Canada
    • 12.1.3. Mexico
    • 12.1.4. Rest of North America
  • 12.2. Europe
    • 12.2.1. Germany
    • 12.2.2. UK
    • 12.2.3. France
    • 12.2.4. Italy
    • 12.2.5. Spain
    • 12.2.6. Rest of Europe
  • 12.3. Asia-Pacific
    • 12.3.1. China
    • 12.3.2. Japan
    • 12.3.3. India
    • 12.3.4. South Korea
    • 12.3.5. Rest of APAC
  • 12.4. Rest of the World

13 HD MAPS FOR AUTONOMOUS VEHICLE MARKET DYNAMICS

  • 13.1. Market Drivers
  • 13.2. Market Challenges
  • 13.3. Impact Analysis

14 HD MAPS FOR AUTONOMOUS VEHICLE MARKET OPPORTUNITIES

15 HD MAPS FOR AUTONOMOUS VEHICLE MARKET TRENDS

16 DEMAND AND SUPPLY-SIDE ANALYSIS

  • 16.1. Demand Side Analysis
  • 16.2. Supply Side Analysis

17 VALUE CHAIN ANALYSIS

18 PRICING ANALYSIS

19 STRATEGIC INSIGHTS

20 COMPETITIVE SCENARIO

  • 20.1. Competitive Landscape
    • 20.1.1. Porters Fiver Forces Analysis

21 COMPANY PROFILED

  • 21.1. TomTom International BV
  • 21.2. HERE
  • 21.3. NVIDIA Corporation
  • 21.4. Dynamic Map Platform Co., Ltd.
  • 21.5. The Sanborn Map Company, Inc.
  • 21.6. Mapbox
  • 21.7. Waymo LLC
  • 21.8. Civil Maps
  • 21.9. Woven BY Toyota, Inc.
  • 21.10. Navinfo

22 DISCLAIMER

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