Automotive Artificial Intelligence Market Size Report, 2023-2032
The global automotive artificial intelligence market size was exhibited at USD 3.17 billion in 2022 and is projected to hit around USD 22.96 billion by 2032, growing at a CAGR of 21.9% during the forecast period 2023 to 2032.
Key Pointers:
Introducing (Artificial Intelligence) AI in the automotive industry ushers in a new era, allowing businesses to track operations, improve business plans, develop autonomous and semi-autonomous vehicles, and enhance digital outcomes. The global automotive AI industry is driven by the rising demand for autonomous vehicles, the adoption of artificial intelligence for traffic management, advanced automotive solutions, and government initiatives. Nevertheless, the absence of infrastructure, expensive procurement, and operational expenses remain obstacles to growth.
Artificial Intelligence (AI) in the automotive industry is driven by factors such as government initiatives to incorporate autonomous driving and the growing demand for autonomous vehicles. Furthermore, the automotive industry's expansion is likely to drive the artificial intelligence market’s growth. The automotive sector has benefitted from artificial intelligence and is one of the primary industries that use AI to augment and replicate human action.
The advent of standards such as Advanced Driver Assistance Systems (ADAS), blind-spot alert, Adaptive Cruise Control (ACC), and increased demand for convenience features continue to attract automotive providers to AI. AI mission-critical occurrences necessitate analysis, warnings, and directives. Automotive ADAS comprises various advanced sensors, such as LiDAR, Inertial Measurement Units (IMUs), radar, cameras, and pressure and temperature sensors for constant monitoring of surrounding conditions. The signal chain necessitates proper conditioning of sensor outputs, detection, and reliable low-latency communications within the vehicle and the surrounding infrastructure.
AI has enormous potential in the automobile industry when embedded within the industry's products, production, manufacturing processes, and value-added chains. AI deployment is expected to contribute significantly to a safer, cleaner, more efficient, and more reliable mobility ecosystem. For instance, AI applications in connected and automated vehicles improve driver safety, monitoring, situational awareness, comfort, and trajectory prediction. It can lead to significant gains in performance and efficiency, such as enhanced logistical flows, traffic fluidity, and reduced fuel or power consumption.
In recent years, businesses manufacturing Automated Driving Systems (ADS) technology have thoroughly live-tested autonomous vehicles operating in virtual environments to assure their dependability and safety. However, the COVID-19 pandemic, which began in March 2020, prevented, disrupted, and delayed the launch of these new product development test objectives due to its sudden beginning and continued resurgent impacts.
A study published by Adrian Chen Yang Tan on March 10, 2022, used data from the California Automated Vehicle Test Program to ascertain how the pandemic impacted testing trends, resumptions, and test conditions. The study emphasized how crucial it is for government measures to encourage and facilitate the development of autonomous vehicles in pandemic situations.
Automotive Artificial Intelligence Market Segmentation
| By Offering | By Technology | By Application | By Process | By Component |
|
Hardware Software Service |
Computer Vision Context Awareness Deep Learning Machine Learning Natural Language Processing |
Autonomous Driving Human–Machine Interface Semi-autonomous Driving |
Signal Recognition Image Recognition Voice Recognition Data Mining |
Graphics processing unit (GPU) Field Programmable Gate Array (FPGA) Microprocessors (Incl. ASIC) Image Sensors Memory and Storage systems Biometric Scanners Others |
Automotive Artificial Intelligence Market Key Players And Regions
| Companies Profiled | Regions Covered |
|
Intel Corporation Waymo, LLC. IBM Corporation Microsoft Corporation Nvidia Corporation Xilinx, Inc. Micron Technology, Inc. Tesla, Inc. General Motors Company Ford Motor Company |
North America Europe Asia-Pacific Latin America Middle East & Africa (MEA)
|
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Automotive Artificial Intelligence (AI) Market
5.1. COVID-19 Landscape: Automotive Artificial Intelligence (AI) Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Automotive Artificial Intelligence (AI) Market, By Offering
8.1. Automotive Artificial Intelligence (AI) Market, by Offering, 2023-2032
8.1.1. Hardware
8.1.1.1. Market Revenue and Forecast (2018-2032)
8.1.2. Software
8.1.2.1. Market Revenue and Forecast (2018-2032)
8.1.3. Service
8.1.3.1. Market Revenue and Forecast (2018-2032)
Chapter 9. Global Automotive Artificial Intelligence (AI) Market, By Technology
9.1. Automotive Artificial Intelligence (AI) Market, by Technology, 2023-2032
9.1.1. Computer Vision
9.1.1.1. Market Revenue and Forecast (2018-2032)
9.1.2. Context Awareness
9.1.2.1. Market Revenue and Forecast (2018-2032)
9.1.3. Deep Learning
9.1.3.1. Market Revenue and Forecast (2018-2032)
9.1.4. Machine Learning
9.1.4.1. Market Revenue and Forecast (2018-2032)
9.1.5. Natural Language Processing
9.1.5.1. Market Revenue and Forecast (2018-2032)
Chapter 10. Global Automotive Artificial Intelligence (AI) Market, By Application
10.1. Automotive Artificial Intelligence (AI) Market, by Application, 2023-2032
10.1.1. Autonomous Driving
10.1.1.1. Market Revenue and Forecast (2018-2032)
10.1.2. Human–Machine Interface
10.1.2.1. Market Revenue and Forecast (2018-2032)
10.1.3. Semi-autonomous Driving
10.1.3.1. Market Revenue and Forecast (2018-2032)
Chapter 11. Global Automotive Artificial Intelligence (AI) Market, By Process
11.1. Automotive Artificial Intelligence (AI) Market, by Process, 2023-2032
11.1.1. Signal Recognition
11.1.1.1. Market Revenue and Forecast (2018-2032)
11.1.2. Image Recognition
11.1.2.1. Market Revenue and Forecast (2018-2032)
11.1.3. Voice Recognition
11.1.3.1. Market Revenue and Forecast (2018-2032)
11.1.4. Data Mining
11.1.4.1. Market Revenue and Forecast (2018-2032)
Chapter 12. Global Automotive Artificial Intelligence (AI) Market, By Component
12.1. Automotive Artificial Intelligence (AI) Market, by Component, 2023-2032
12.1.1. Graphics processing unit (GPU)
12.1.1.1. Market Revenue and Forecast (2018-2032)
12.1.2. Field Programmable Gate Array (FPGA)
12.1.2.1. Market Revenue and Forecast (2018-2032)
12.1.3. Microprocessors (Incl. ASIC)
12.1.3.1. Market Revenue and Forecast (2018-2032)
12.1.4. Image Sensors
12.1.4.1. Market Revenue and Forecast (2018-2032)
12.1.5. Memory and Storage systems
12.1.5.1. Market Revenue and Forecast (2018-2032)
12.1.6. Biometric Scanners
12.1.6.1. Market Revenue and Forecast (2018-2032)
12.1.7. Others
12.1.7.1. Market Revenue and Forecast (2018-2032)
Chapter 13. Global Automotive Artificial Intelligence (AI) Market, Regional Estimates and Trend Forecast
13.1. North America
13.1.1. Market Revenue and Forecast, by Offering (2018-2032)
13.1.2. Market Revenue and Forecast, by Technology (2018-2032)
13.1.3. Market Revenue and Forecast, by Application (2018-2032)
13.1.4. Market Revenue and Forecast, by Process (2018-2032)
13.1.5. Market Revenue and Forecast, by Component (2018-2032)
13.1.6. U.S.
13.1.6.1. Market Revenue and Forecast, by Offering (2018-2032)
13.1.6.2. Market Revenue and Forecast, by Technology (2018-2032)
13.1.6.3. Market Revenue and Forecast, by Application (2018-2032)
13.1.6.4. Market Revenue and Forecast, by Process (2018-2032)
13.1.6.5. Market Revenue and Forecast, by Component (2018-2032)
13.1.7. Rest of North America
13.1.7.1. Market Revenue and Forecast, by Offering (2018-2032)
13.1.7.2. Market Revenue and Forecast, by Technology (2018-2032)
13.1.7.3. Market Revenue and Forecast, by Application (2018-2032)
13.1.7.4. Market Revenue and Forecast, by Process (2018-2032)
13.1.7.5. Market Revenue and Forecast, by Component (2018-2032)
13.2. Europe
13.2.1. Market Revenue and Forecast, by Offering (2018-2032)
13.2.2. Market Revenue and Forecast, by Technology (2018-2032)
13.2.3. Market Revenue and Forecast, by Application (2018-2032)
13.2.4. Market Revenue and Forecast, by Process (2018-2032)
13.2.5. Market Revenue and Forecast, by Component (2018-2032)
13.2.6. UK
13.2.6.1. Market Revenue and Forecast, by Offering (2018-2032)
13.2.6.2. Market Revenue and Forecast, by Technology (2018-2032)
13.2.6.3. Market Revenue and Forecast, by Application (2018-2032)
13.2.7. Market Revenue and Forecast, by Process (2018-2032)
13.2.8. Market Revenue and Forecast, by Component (2018-2032)
13.2.9. Germany
13.2.9.1. Market Revenue and Forecast, by Offering (2018-2032)
13.2.9.2. Market Revenue and Forecast, by Technology (2018-2032)
13.2.9.3. Market Revenue and Forecast, by Application (2018-2032)
13.2.10. Market Revenue and Forecast, by Process (2018-2032)
13.2.11. Market Revenue and Forecast, by Component (2018-2032)
13.2.12. France
13.2.12.1. Market Revenue and Forecast, by Offering (2018-2032)
13.2.12.2. Market Revenue and Forecast, by Technology (2018-2032)
13.2.12.3. Market Revenue and Forecast, by Application (2018-2032)
13.2.12.4. Market Revenue and Forecast, by Process (2018-2032)
13.2.13. Market Revenue and Forecast, by Component (2018-2032)
13.2.14. Rest of Europe
13.2.14.1. Market Revenue and Forecast, by Offering (2018-2032)
13.2.14.2. Market Revenue and Forecast, by Technology (2018-2032)
13.2.14.3. Market Revenue and Forecast, by Application (2018-2032)
13.2.14.4. Market Revenue and Forecast, by Process (2018-2032)
13.2.15. Market Revenue and Forecast, by Component (2018-2032)
13.3. APAC
13.3.1. Market Revenue and Forecast, by Offering (2018-2032)
13.3.2. Market Revenue and Forecast, by Technology (2018-2032)
13.3.3. Market Revenue and Forecast, by Application (2018-2032)
13.3.4. Market Revenue and Forecast, by Process (2018-2032)
13.3.5. Market Revenue and Forecast, by Component (2018-2032)
13.3.6. India
13.3.6.1. Market Revenue and Forecast, by Offering (2018-2032)
13.3.6.2. Market Revenue and Forecast, by Technology (2018-2032)
13.3.6.3. Market Revenue and Forecast, by Application (2018-2032)
13.3.6.4. Market Revenue and Forecast, by Process (2018-2032)
13.3.7. Market Revenue and Forecast, by Component (2018-2032)
13.3.8. China
13.3.8.1. Market Revenue and Forecast, by Offering (2018-2032)
13.3.8.2. Market Revenue and Forecast, by Technology (2018-2032)
13.3.8.3. Market Revenue and Forecast, by Application (2018-2032)
13.3.8.4. Market Revenue and Forecast, by Process (2018-2032)
13.3.9. Market Revenue and Forecast, by Component (2018-2032)
13.3.10. Japan
13.3.10.1. Market Revenue and Forecast, by Offering (2018-2032)
13.3.10.2. Market Revenue and Forecast, by Technology (2018-2032)
13.3.10.3. Market Revenue and Forecast, by Application (2018-2032)
13.3.10.4. Market Revenue and Forecast, by Process (2018-2032)
13.3.10.5. Market Revenue and Forecast, by Component (2018-2032)
13.3.11. Rest of APAC
13.3.11.1. Market Revenue and Forecast, by Offering (2018-2032)
13.3.11.2. Market Revenue and Forecast, by Technology (2018-2032)
13.3.11.3. Market Revenue and Forecast, by Application (2018-2032)
13.3.11.4. Market Revenue and Forecast, by Process (2018-2032)
13.3.11.5. Market Revenue and Forecast, by Component (2018-2032)
13.4. MEA
13.4.1. Market Revenue and Forecast, by Offering (2018-2032)
13.4.2. Market Revenue and Forecast, by Technology (2018-2032)
13.4.3. Market Revenue and Forecast, by Application (2018-2032)
13.4.4. Market Revenue and Forecast, by Process (2018-2032)
13.4.5. Market Revenue and Forecast, by Component (2018-2032)
13.4.6. GCC
13.4.6.1. Market Revenue and Forecast, by Offering (2018-2032)
13.4.6.2. Market Revenue and Forecast, by Technology (2018-2032)
13.4.6.3. Market Revenue and Forecast, by Application (2018-2032)
13.4.6.4. Market Revenue and Forecast, by Process (2018-2032)
13.4.7. Market Revenue and Forecast, by Component (2018-2032)
13.4.8. North Africa
13.4.8.1. Market Revenue and Forecast, by Offering (2018-2032)
13.4.8.2. Market Revenue and Forecast, by Technology (2018-2032)
13.4.8.3. Market Revenue and Forecast, by Application (2018-2032)
13.4.8.4. Market Revenue and Forecast, by Process (2018-2032)
13.4.9. Market Revenue and Forecast, by Component (2018-2032)
13.4.10. South Africa
13.4.10.1. Market Revenue and Forecast, by Offering (2018-2032)
13.4.10.2. Market Revenue and Forecast, by Technology (2018-2032)
13.4.10.3. Market Revenue and Forecast, by Application (2018-2032)
13.4.10.4. Market Revenue and Forecast, by Process (2018-2032)
13.4.10.5. Market Revenue and Forecast, by Component (2018-2032)
13.4.11. Rest of MEA
13.4.11.1. Market Revenue and Forecast, by Offering (2018-2032)
13.4.11.2. Market Revenue and Forecast, by Technology (2018-2032)
13.4.11.3. Market Revenue and Forecast, by Application (2018-2032)
13.4.11.4. Market Revenue and Forecast, by Process (2018-2032)
13.4.11.5. Market Revenue and Forecast, by Component (2018-2032)
13.5. Latin America
13.5.1. Market Revenue and Forecast, by Offering (2018-2032)
13.5.2. Market Revenue and Forecast, by Technology (2018-2032)
13.5.3. Market Revenue and Forecast, by Application (2018-2032)
13.5.4. Market Revenue and Forecast, by Process (2018-2032)
13.5.5. Market Revenue and Forecast, by Component (2018-2032)
13.5.6. Brazil
13.5.6.1. Market Revenue and Forecast, by Offering (2018-2032)
13.5.6.2. Market Revenue and Forecast, by Technology (2018-2032)
13.5.6.3. Market Revenue and Forecast, by Application (2018-2032)
13.5.6.4. Market Revenue and Forecast, by Process (2018-2032)
13.5.7. Market Revenue and Forecast, by Component (2018-2032)
13.5.8. Rest of LATAM
13.5.8.1. Market Revenue and Forecast, by Offering (2018-2032)
13.5.8.2. Market Revenue and Forecast, by Technology (2018-2032)
13.5.8.3. Market Revenue and Forecast, by Application (2018-2032)
13.5.8.4. Market Revenue and Forecast, by Process (2018-2032)
13.5.8.5. Market Revenue and Forecast, by Component (2018-2032)
Chapter 14. Company Profiles
14.1. Intel Corporation
14.1.1. Company Overview
14.1.2. Product Offerings
14.1.3. Financial Performance
14.1.4. Recent Initiatives
14.2. Waymo, LLC.
14.2.1. Company Overview
14.2.2. Product Offerings
14.2.3. Financial Performance
14.2.4. Recent Initiatives
14.3. IBM Corporation
14.3.1. Company Overview
14.3.2. Product Offerings
14.3.3. Financial Performance
14.3.4. Recent Initiatives
14.4. Microsoft Corporation
14.4.1. Company Overview
14.4.2. Product Offerings
14.4.3. Financial Performance
14.4.4. Recent Initiatives
14.5. Nvidia Corporation
14.5.1. Company Overview
14.5.2. Product Offerings
14.5.3. Financial Performance
14.5.4. Recent Initiatives
14.6. Xilinx, Inc.
14.6.1. Company Overview
14.6.2. Product Offerings
14.6.3. Financial Performance
14.6.4. Recent Initiatives
14.7. Micron Technology, Inc.
14.7.1. Company Overview
14.7.2. Product Offerings
14.7.3. Financial Performance
14.7.4. Recent Initiatives
14.8. Tesla, Inc.
14.8.1. Company Overview
14.8.2. Product Offerings
14.8.3. Financial Performance
14.8.4. Recent Initiatives
14.9. General Motors Company
14.9.1. Company Overview
14.9.2. Product Offerings
14.9.3. Financial Performance
14.9.4. Recent Initiatives
14.10. Ford Motor Company
14.10.1. Company Overview
14.10.2. Product Offerings
14.10.3. Financial Performance
14.10.4. Recent Initiatives
Chapter 15. Research Methodology
15.1. Primary Research
15.2. Secondary Research
15.3. Assumptions
Chapter 16. Appendix
16.1. About Us
16.2. Glossary of Terms
Cross-segment Market Size and Analysis for
Mentioned Segments
Additional Company Profiles (Upto 5 With No Cost)
Additional Countries (Apart From Mentioned Countries)
Country/Region-specific Report
Go To Market Strategy
Region Specific Market DynamicsRegion Level Market Share Import Export AnalysisProduction AnalysisOthers