Automotive AICAE Market

Computer aided engineering (CAE) is simulation process where vehicle systems are tested using simulation software. Vehicle systems include crash test, noise, vibration and harshness test, and climate test. These are tested to improve the comfort and safety in vehicles. Automotive AI is an advanced technology that is being integrated in vehicles at a rapid pace. The trend of driverless, connected vehicles is a key factor boosting automotive AI applications in vehicles.

Automotive AICAE Market aims to provide a comprehensive presentation of the global market for Automotive AI in CAE, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Automotive AI in CAE. Automotive AICAE Market contains market size and forecasts of Automotive AI in CAE in global, including the following market information:

Global Automotive AI in CAE Market Revenue, 2019-2024, 2025-2030, ($ millions)

Global top five companies in 2023 (%)

The global Automotive AI in CAE market was valued at US$ million in 2023 and is projected to reach US$ million by 2030, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.

The U.S. Market is Estimated at $ Million in 2023, While China is to reach $ Million.

Manual Segment to Reach $ Million by 2030, with a % CAGR in next six years.

The global key manufacturers of Automotive AI in CAE include Autodesk, Dassault Systems, Hexagon, Siemens AG, 3D Systems, PTC, Open Mind Technologies, DP Technologies Corp. and SolidCAM, etc. in 2023, the global top five players have a share approximately % in terms of revenue.

We surveyed the Automotive AI in CAE companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.

Total Market by Segment:

Global Automotive AI in CAE Market, by Type, 2019-2024, 2025-2030 ($ millions)

Global Automotive AI in CAE Market Segment Percentages, by Type, 2023 (%)

Manual

Autonomous

Global Automotive AI in CAE Market, by Application, 2019-2024, 2025-2030 ($ millions)

Global Automotive AI in CAE Market Segment Percentages, by Application, 2023 (%)

Crash Simulation

Noise, Vibration and Harshness Simulation

Durability Test

Others

Global Automotive AI in CAE Market, By Region and Country, 2019-2024, 2025-2030 ($ Millions)

Global Automotive AI in CAE Market Segment Percentages, By Region and Country, 2023 (%)

North America

US

Canada

Mexico

Europe

Germany

France

U.K.

Italy

Russia

Nordic Countries

Benelux

Rest of Europe

Asia

China

Japan

South Korea

Southeast Asia

India

Rest of Asia

South America

Brazil

Argentina

Rest of South America

Middle East & Africa

Turkey

Israel

Saudi Arabia

UAE

Rest of Middle East & Africa

Competitor Analysis

The report also provides analysis of leading market participants including:

Key companies Automotive AI in CAE revenues in global market, 2019-2024 (estimated), ($ millions)

Key companies Automotive AI in CAE revenues share in global market, 2023 (%)

Further, the report presents profiles of competitors in the market, key players include:

Autodesk

Dassault Systems

Hexagon

Siemens AG

3D Systems

PTC

Open Mind Technologies

DP Technologies Corp.

SolidCAM

ZWSOFT

Altair Corporation

Ansys Inc.

Outline of Major Chapters:

Chapter 1: Introduces the definition of Automotive AI in CAE, market overview.

Chapter 2: Global Automotive AI in CAE market size in revenue.

Chapter 3: Detailed analysis of Automotive AI in CAE company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.

Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 6: Sales of Automotive AI in CAE in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.

Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.

Chapter 8: The main points and conclusions of the report.