Global Autonomous Vehicle Simulation Solution Market Research Report 2023-Competitive Analysis, Status and Outlook by Type, Downstream Industry, and Geography, Forecast to 2029

Global Autonomous Vehicle Simulation Solution Market Research Report 2023-Competitive Analysis, Status and Outlook by Type, Downstream Industry, and Geography, Forecast to 2029

Autonomous vehicles can improve driver safety and reduce traffic congestion. However, developing this new platform is rife with challenges. Chief among them remains the estimated 8.8 billion miles of road testing that would be required to ensure fully autonomous cars are safe enough to hit the road. Simulation will play a key role. Vehicle designers can use advanced simulation tools to virtually test these scenarios quickly and cost effectively. This not only accelerates development but also reduces the need for physical road tests. Simulations Cut the Development Time and Cost of Autonomous Vehicles.

Market Overview:

The latest research study on the global Autonomous Vehicle Simulation Solution market finds that the global Autonomous Vehicle Simulation Solution market reached a value of USD 1033.45 million in 2022. It’s expected that the market will achieve USD 4622.42 million by 2028, exhibiting a CAGR of 28.36% during the forecast period.

Autonomous Vehicle Simulation Solution Market Drivers

In today's world, with a new round of scientific and technological revolution and industrial transformation, the rapid development of Autonomous Vehicle has become an important strategic direction of the global automobile industry. Although L3 autonomous driving technology can't achieve mass production in a short period of time, the commercialization of L3-L4 Autonomous Vehicle is accelerating in a specific area limited scene.

In fact, in order to meet the strict safety standards for self-driving, there are millions of complex scenes for self-driving cars to verify the interaction with the surrounding environment, traffic and weather. As a result, the simulation technology has come into play. With the help of simulation technology, the automatic driving tools are comprehensively and thoroughly tested and certified.

Automatic driving development into the fast lane. This is due to the fact that self-driving cars can improve driving safety and significantly reduce traffic accidents; At the same time, it can also improve the efficiency of the whole transportation system, improve the land use rate of roads and parking lots, save time for users and reduce energy consumption. In addition, since self-driving cars can gradually liberate human hands and feet, people can transfer their energy to other activities such as work or entertainment while driving, which greatly improves the driving comfort. In recent years, with the rapid development of new technologies such as cloud computing, 5G, Internet of Things, new energy, etc., autonomous driving has ushered in the spring of development, attracting countless technology companies and car companies to enter the market one after another, and the landing and application of autonomous driving cars are gradually advancing.

Simulation technology helps self-driving cars to achieve rapid verification. At present, the R&D competition between Autonomous Vehicle and advanced driver assistance system is being staged. Large automobile OEMs, first-class suppliers, and market-breaking rookies are accelerating the research and development of Autonomous Vehicle and advanced driver assistance systems, aiming to seize market opportunities. Self-driving cars can improve driving comfort and safety and significantly reduce traffic accidents, but the premise of achieving this goal is to ensure the safety and stability of the auto-driving system itself. Because autonomous vehicles are composed of a large number of mechanical parts, electronic parts, hardware and software, the process of functional safety analysis is very complicated. At the same time, autonomous driving technology involves radar, lidar, V2X communication, sensor fusion and deep learning, which is quite different from traditional automobile technology. Therefore, in the process of autonomous driving development, it is necessary to continuously verify and test the driverless technology under various driving conditions, so as to ensure that its safety can be higher than that of human drivers.

Autonomous Vehicle must travel hundreds of millions of miles or even hundreds of billions of miles to ensure its safety and reliability. At the same time, some studies have proved that compared with human drivers, self-driving cars can reduce traffic accident mortality by 20%, which requires about 8 billion kilometers of public road tests. Assuming that a fleet of 100 cars is tested at an average speed of 40km/h for 365 days a year, 24 hours a day, it will take about 225 years, which is obviously unrealistic.

Autonomous vehicle simulation solution is the only way to prove the safety of autonomous driving within billions of miles, and at the same time, time and cost factors must be taken into account.

On a larger scale, simulation technology runs through the whole life cycle of Autonomous Vehicle's research and development and use. From product concept selection to product operation data collection and system upgrade, simulation not only serves as a toolbox for engineering technology developers to help realize the safety and stability of products, but also serves as a data knowledge base for enterprise managers to help accumulate valuable intangible assets such as enterprise design process, engineering experience and digital model. For regulatory and testing organizations, autonomous vehicle simulation solution can be used as an analysis and detection tool to evaluate the safety and intelligence level of automobile functions. Therefore, our researchers expect that autonomous vehicle simulation solution will accelerate its development in the future.

Region Overview:

North America had the highest growth rate of all regions.

Company Overview:

The top three companies are Ansys, Siemens, Altair Engineering Research Associates with the revenue market share of 26.87%, 11.19%, 8.31% in 2020.

Ansys is the global leader in engineering simulation enabling next-generation advancements from self-driving cars to electric aircraft to connected cities. Its main product ANSYS is widely used by engineers and designers in many industries around the world. ANSYS focuses on developing open, flexible and direct simulation solutions for design, providing a unified platform for the whole process of product development from conceptual design to final test, and pursuing fast, efficient and cost-conscious product development. The company and its channel partners in the global network provide customers with integrated services of sales, training and technical support.

Siemens is a technology company focused on industry, infrastructure, mobility, and healthcare. Creating technologies for more resource-efficient factories and resilient supply chains to smarter buildings and grids, to cleaner, comfortable transportation and advanced healthcare, the company empowers customers to transform the industries that form the backbone of economies, transforming the everyday for billions of people.

Segmentation Overview:

By type, Software segment accounted for the largest share of market in 2021.

Application Overview:

By application, the Autonomous Driving OEM segment occupied the biggest share from 2017 to 2022.

Key Companies in the global Autonomous Vehicle Simulation Solution market covered in Chapter 3:

AVL List GmbH
Ansys
DSPACE GmbH
Applied Intuition
Rfpro
Siemens
Cognata
Foretellix
MSC Software
IPG Automotive GmbH
Altair Engineering

In Chapter 4 and Chapter 14.2, on the basis of types, the Autonomous Vehicle Simulation Solution market from 2018 to 2029 is primarily split into:

Software
Service

In Chapter 5 and Chapter 14.3, on the basis of Downstream Industry, the Autonomous Vehicle Simulation Solution market from 2018 to 2029 covers:

Autonomous Driving OEM
Component Manufacturer
University and Research Center
Others

Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2018-2029) of the following regions are covered in Chapter 8 to Chapter 14:

North America (United States, Canada)
Europe (Germany, UK, France, Italy, Spain, Russia, Netherlands, Turkey, Switzerland, Sweden)
Asia Pacific (China, Japan, South Korea, Australia, India, Indonesia, Philippines, Malaysia)
Latin America (Brazil, Mexico, Argentina)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa)