HD Maps for Autonomous Vehicle Market Growth, Overview, Share, Forecast, Industry Analysis by 2028

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Autonomous Vehicle HD Cards Market Size – $ 1.58 Billion in 2020, Market Growth – at a CAGR of 34.3%
VANCOUER, BC, CANADA, Sep 22, 2021 /EINPresswire.com/ – Global Autonomous Vehicle HD Cards Market Expected to Reach a Market Size of $ 16.51 Billion at a Stable CAGR of 34.3 % in 2028, according to the latest analysis by Emergen Research. This steady growth in revenue can be attributed to the growing need for new generations of highly accurate and realistic digital mapping solutions and software. The ability of HD maps to determine the exact position of a vehicle in real time using analyzed data from multiple sources such as vehicle sensors, LiDAR, onboard cameras, satellite imagery and GPS is boosting demand and deployment of HD cards among autonomous vehicle manufacturers
The report examines in detail the growth opportunities, challenges, market drivers and restraints, limitations, threats and demands of the HD Cards for Autonomous Vehicles market. The study further assesses the regional market as well as the international market to gain insight into the scope of the market. The report also offers estimates and forecasts on the market segment and sub-segments showing promising growth within the forecast timeline. The report also provides more in-depth information on the technological advancements, industrial landscape and emerging products and technological developments in the Autonomous Vehicle HD Cards market.
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The growth of the global HD cards for autonomous vehicles market is driven by a variety of factors and trends, the major ones of which include the growing attention of large companies on product / service expansion in new untapped national HD cards for the autonomous vehicle market, increasing investments in strategic agreements, and increasing competition in the market. The development of more advanced offerings is driving increasing demand and deployment in the respective sectors / industries, and this is a major trend in a growing number of developing economies. In addition, the availability of favorable government policies and steady economic growth in various regions and countries results in an increasing number of actors who focus on exploiting opportunities to increase visibility and increase income and profits.
Highlights of the report
In November 2019, localization technology specialist TomTom and the University of Amsterdam (UvA) announced the opening of a new research Atlas Lab for autonomous vehicles. Atlas Lab is expected to focus on using artificial intelligence to develop advanced, highly accurate and safe high definition maps for autonomous vehicles.
The semi-autonomous segment (levels 2 and 3) accounted for the largest market share of 62.5% in 2020. The presence of stricter regulations regarding autonomous driving compared to semi-autonomous driving is driving the demand for semi-autonomous vehicles. -autonomous.
Cloud-based solutions segment revenue is expected to grow at a rapid CAGR of 34.8% during the forecast period. Major market players such as TomTom, NVIDIA and HERE Technologies are increasingly using cloud-based services as these offer more accuracy and easy updating of maps.
The major key vendors in the Autonomous Vehicle HD Maps market are:
NVIDIA, TomTom, DeepMap, Here Technologies, Navinfo, Civil Maps, Mapmyindia, Sanborn Map Company, Navmii and Autonavi.
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Emergen Research has segmented the global HD maps for autonomous vehicles market on the basis of automation level, solution, services, vehicle type, and region:
Level of Automation Outlook (Revenue, Billions USD; 2021-2028)
Semi-Autonomous (Level 2 & 3)
Autonomous (Level 4 & 5)
Solution Outlook (Revenue, USD Billion; 2021-2028)
Embarked
Cloud based
Services Outlook (Revenue, USD Billion; 2021-2028)
Location
Advertising
Mapping
Update and maintenance
Vehicle Type Outlook (Revenue, USD Billion; 2021-2028)
Commercial vehicles
Passenger vehicles
Regional segmentation;
North America (United States, Canada)
Europe (UK, Italy, Germany, France, rest of the EU)
Asia-Pacific (India, Japan, China, South Korea, Australia, rest of APAC)
Latin America (Chile, Brazil, Argentina, rest of Latin America)
Middle East Africa (Saudi Arabia, United Arab Emirates, South Africa, Rest of MEA)
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The research provides answers to the following key questions:
What will be the growth rate and market size of the Autonomous Vehicle HD Cards market for the forecast period 2020-2027?
What are the major driving forces expected to impact the development of the Autonomous Vehicle HD Cards market across different regions?
What are the major driving forces expected to decide the fate of the global Autonomous Vehicle HD Cards market?
Who are the major market players standing out in the Autonomous Vehicle HD Cards market with their winning strategies?
What are the trends in the Autonomous Vehicle HD Cards market likely to shape the future of the industry during the forecast period 2020-2027?
What are the main obstacles and threats likely to hinder the development of the industry?
What are the future opportunities in the Autonomous Vehicle HD Cards market?
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Chapter 1. Methodology and sources
1.1. Market definition
1.2. Scope of research
1.3. Methodology
1.4. Research sources
1.4.1. Primary
1.4.2. Secondary
1.4.3. Paid sources
1.5. Market estimation technique
Chapter 2. Executive summary
2.1. Summary overview, 2020-2028
Chapter 3. Main information
Chapter 4. HD Maps for Autonomous Vehicles Market Segmentation and Impact Analysis
4.1. HD Cards for Autonomous Vehicles Market Materials Segmentation Analysis
4.2. Industrial outlook
4.2.1. Analysis of market indicators
4.2.2. Market driver analysis
4.2.2.1. Growing need to improve driver safety and comfort
4.2.2.2. Growing need for precise localization
4.2.2.3. Growing demand for autonomous driving
4.2.3. Analysis of market constraints
4.2.3.1. Cost incurred to create the HD maps
4.2.3.2. Privacy and Legal Issues Regarding HD Cards
4.3. Technological insights
4.4. Regulatory framework
4.5. Porter’s Five Forces Analysis
4.6. Competitive metric space analysis
4.7. Price trend analysis
4.8. Covid-19 impact assessment
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