Global Artificial Intelligence (AI) in Automotive Market was valued at US$ 9392.6 Mn in 2019 and is expected to reach US$ 36,667.9 Mn by 2027, expanding at a CAGR of 20.9%.
The automotive industry has expanded globally over the last century, primarily owing to the changing consumer preferences, rising concerns about driver safety, environmental concerns, and stringent government regulations focusing on crash avoidance rather than crash survival.
From robots on the factory floor to driverless cars, AI is changing the automotive industry. The automotive industry has a long record of utilizing modern technologies to bring cost-effective, innovative, and reliable and safe vehicles to the market. At Present, major technologies that are driving the automotive market are artificial intelligence and high-performance computing. These technologies are helping in building autonomous vehicles, and they are enhancing the customer and employee experience. Companies like Ford are already applying AI to improve their customer and business operations through supply chain risk identification and in-vehicle predictive maintenance.
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The report incorporates the study of the AI in Automotive market that focuses on the Application, Offering, Technology, Deployment, Device, Component and Vehicle Type operated in the business. Over the decade, the vehicle technological and electronics system has evolved extensively, which has led to several technological advancements such as processing platforms, continuous product development, and evolving applications that are aiding in widening the scope of automotive. Major players operating in the space of artificial intelligence in the automotive industry include IBM Corporation, Microsoft Corporation, Nvidia Corporation, Tesla Inc., and Intel Corporation, among others. The automotive manufacturers suffered the highest impact due to the pandemic. Due to the lockdowns imposed by governments of several countries, automakers had to suspend all operations and shut down their production plants. Further, employment losses coupled with incessant pay cuts has tightened consumer wallets, thereby refraining them from purchasing a new vehicle during this period (2019-2027)
From the perspective of the Technology market segmentation, the report covers
In terms of revenue, the machine learning segment accounted for a market share of 54.6% in 2019 and is expected to reach 50.5% by the end of the forecast period.
The Segment study of Vehicle Type includes an analysis:
By Component, the global AI Automotive Market is segmented into:
Demand for a bigger display in cars have raised the demand for GPUs, which accounted for a share of 19.6% in 2019 and is expected to display a share of 21.7% by the end of the forecast period (2019-2027)
By Device, the AI in Automotive market is classified into:
HUD/Dashboard screens are making its mark due to the growing penetration of displays in vehicles along with ADAS systems, the market for HUD/Dashboard screens is expected to surge rapidly once autonomous vehicles come into the picture
From a geographic segmentation perspective, the report focuses on the regions that have a material and significant effect on the overall market value. The broad level coverage of the report includes the regions of Global, North America, Europe, APAC, MEA, LatAm
Advanced driver-assist features that are available in all the latest cars and trucks are enhanced with AI technology features, such as systems that alert drivers to hazardous road conditions, monitor blind spots in the driver’s view, assist with steering, and take automated actions to help vehicles avoid accidents and dangerous situations. In the automotive industry, autonomous vehicles are the new upcoming concept. Manufacturers and their technology partners are trying to develop AI-driven systems to enable self-driving cars and trucks. These systems combine a wide range of AI-enabled technologies such as machine learning, deep learning, natural language processing, network optimizations, and gesture-control features to provide vehicle intelligence that offer It's self-driving ability to cars, with or without a human driver on board.
AI is an important technology for connected vehicles. For example, AI can predict component failures so that vehicle manufacturers and owners can work proactively to avoid problems. It can also provide drivers with location-based information and personalized advertising to help them find the things they need. Similarly, AI-enabled systems can send driving and accident data to insurance companies, which might offer incentives for safe driving habits.
The AI in Automotive Market is fragmented. While the key companies continue to drive innovation and, in most cases, adopt digital transformations, the overall competitive ecosystem is dominated by Market leaders as well as emerging players with niche offerings.
The AI in Automotive Market report profiles some of the key market players while reviewing significant market developments and strategies adopted by them.
Porsche AG, Audi AG, BMW AG, Daimler AG, Tesla Inc., AB Volvo, Ford Motors, Volkswagen, Toyota Motors, General Motors, Hyundai Group, Nissan, Honda Motors, Alphabet Inc., IBM Corporation, Almotive, Argo AI, Xilinx Inc., Intel Corporation, Microsoft Corporation, NVIDIA Corporation, Qualcomm Inc., Samsung Electronics (Harman), Siemens AG, Micron Technology, Robert Bosch GmbH, Rockewell Automation
|
Company |
Ecosystem Positioning |
Total Revenue |
Industry |
Region |
|
Toyota |
Product Provider |
$272 billion |
Automotive |
Global |
|
Volkswagen |
Product Provider |
$280 billion |
Automotive |
Global |
|
Mercedes-Benz |
Product Provider |
$100.0 billion |
Automotive |
Global |
|
General Motors |
Product Provider |
$147.0 billion |
Automotive |
Global |
|
Ford |
Product Provider |
$160.0 billion |
Automotive |
Global |
The Artificial Intelligence (AI) in Automotive Market Ecosystem was dominated by North America in 2018 and the US has made the highest investment of $5.4 Billion. The growth is attributed to the presence of major players such as Tesla, Daimler, Volkswagen Group, Subaru, and Hyundai, which are offering features and functions with this technology. In Germany, AI will enable significant automation, yielding up to 4 percent additional GDP in 2030. There are many robots and machines already on the job in automotive factories around the world, but these machines generally perform a few actions in a limited number of scenarios according to the given guidelines and rules.
The U.S. National Highway Traffic Authority has estimated that the deployment of autonomous vehicles could save USD 300 billion by 2025, reducing collisions and enabling safe driving. Increasing awareness among consumers regarding autonomous technologies will complement AI in Automotive market growth. As consumers are rapidly adopting driver-assist technologies to reduce the driving burden and ensure road safety, the demand for autonomous vehicles will surge prolifically over the forecast timespan. Automotive manufacturers are taking note of these trends and are offering innovative driver assistance solutions to gain a competitive advantage.
In Europe, the semi-autonomous vehicles sector will be growing at 33% CAGR by 2026 due to the massive demand for driver-assistance technologies and for facilitating driving during heavy traffic conditions. Semi-autonomous technologies have already been rolled out for production and are expected to commercialize soon. Major automotive manufacturers in Europe such as Toyota and BMW have been offering semi-autopilot and drive cruise control in their latest models.
The Covid19 pandemic has transformed the market landscape. The market ecosystem has taken a directional shift in the way supply-side of the market is accessed. The report covers the aftermath of the Covid19 catastrophe.
The number of coronavirus cases is increasing rapidly which has not only taken several lives but has also affected the global economic structure. In the AI in automotive market the outbreak of COVID-19 has put immense pressure on the economic scenario of several major countries including the U.S., India, China, and U.K. among others, pushing these countries into a severe recession.
Numerous employment losses and incessant pay cuts have tightened consumer wallets, urging them to focus on what is essential. Due to this, the automotive industry has taken a major hit. Production facilities were shut down due to strict lockdowns imposed by several countries.
Very few markets have interconnectivity with other markets like AI. Our Interconnectivity module focuses on the key nodes of heterogenous markets in detail. Data analytics, Cloud Logistics, Machine learning, and computer vision markets are some of our key researched markets.
Artificial Intelligence (AI) in Automotive Market Ecosystem Major Interconnectivities
There are many trends that are having an impact on the market forecast. These, when evaluated from a company’s perspective, can drive growth. Our numerous consulting projects have generated sizeable synergies across all regions and all sizes of companies.
|
Trends |
Offering |
Technology |
Process |
Security Type |
Application |
Impact |
|
Lane tracking and blind spot monitoring: A lane departure warning system warns the driver when the vehicle departs from the current travel lane without the lane changing signal. The ADAS system works on this by detecting traffic lane markings from the image data of a front or rear camera. This system also helps in left or right turn awareness (can be linked with ADAS) |
Software |
|
|
Signal Recognition |
|
0.52% |
|
Volkswagen and Microsoft collaboration will provide customer experience, telematics, and productivity solutions. |
Software |
|
|
|
Human–Machine Interface |
0.47% |
|
AI-powered supply chains have the flexibility to adapt and respond to changes in the product mix or unforeseen events, incorporating near real-time data on advertising campaigns, prices, and even weather forecasts. Eventually, AI will allow fully automated self-adjusting systems to make supply-chain management decisions autonomously, adjusting routes and volumes to meet predicted demand spikes |
|
|
Risk Assessment |
|
Semi-autonomous Driving |
0.89% |
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Chapter 1 Research Objective
1.1 Objective
1.2 Research Methodology
1.3 About Us
Chapter 2 Executive Summary
2.1 Market Summary
2.2 Market Evolution
2.3 Market Snapshot
2.4 Regional Snapshot
2.5 Country Snapshot
2.6 Segment Summary
2.7 Patent Analysis
2.7.1 By Application
2.7.2 By Country
2.7.3 Major Players
2.8 Premium Insights
2.8.1 Vendor Selection Criteria, by Key Metrics
2.8.1.1 Product Line
2.8.1.2 Industries Catered
2.8.1.3 Revenue Growth
2.8.1.4 Geographic Presence
2.8.1.5 Major Investments
2.8.1.6 Historic Case Studies
2.8.1.7 Clientele
2.8.1.8 Technological Integration
2.8.1.9 Market Share (%)
Chapter 3 Market Dynamics
3.1 DROC Impact Analysis
3.1.1 Market Drivers
3.1.2 Market Restraints
3.1.3 Market Opportunities
3.2 Industry SWOT Analysis
3.3 Value Chain Analysis
3.4 Premium Insights
Chapter 4 COVID-19 Impact Analysis
4.1 Prevalence Analysis
4.2 Ecosystem Impact & Opportunity Analysis
4.3 Key Trends Analysis
4.4 Key Factor Analysis
Chapter 5 Global Artificial Intelligence Market in Automotive-by Technology
5.1 Market Share Analysis
5.2 Attractive Investment Proposition
5.3 Market Revenue Analysis
5.3.1 Machine Learning
5.3.1.1 Supervised Learning
5.3.1.2 Un-supervised Learning
5.3.1.3 Deep Learning
5.3.1.4 Others
5.3.2 Natural Language Processing
5.3.3 Computer Vision
5.3.4 Context Awareness
5.3.5 Others
Chapter 6 Global Artificial Intelligence Market in Automotive-by Deployment
6.1 Market Share Analysis
6.2 Attractive Investment Proposition
6.3 Market Revenue Analysis
6.3.1 Cloud
6.3.1.1 Platform
6.3.1.1.1 Public Cloud
6.3.1.1.2 Private Cloud
6.3.1.1.3 Hybrid Cloud
6.3.1.1.4 Community Cloud
6.3.1.2 Services
6.3.1.2.1 Infrastructure-as-a-Services (IaaS)
6.3.1.2.2 Software-as-a-Services (SaaS)
6.3.1.2.3 Platform-as-a-Services (PaaS)
6.3.1.2.4 Others
6.3.2 On-premise
Chapter 7 Global Artificial Intelligence Market in Automotive-by Offering
7.1 Market Share Analysis
7.2 Attractive Investment Proposition
7.3 Market Revenue Analysis
7.3.1 Solutions
7.3.1.2 Data Management
Chapter 8 Global Artificial Intelligence Market in Automotive-by Device
8.1 Market Share Analysis
8.2 Attractive Investment Proposition
8.3 Market Revenue Analysis
Chapter 9 Global Artificial Intelligence Market in Automotive-by Components
9.1 Market Share Analysis
9.2 Attractive Investment Proposition
9.3 Market Revenue Analysis
Chapter 10 Global Artificial Intelligence Market in Automotive-by Application
10.1 Market Share Analysis
10.2 Attractive Investment Proposition
10.3 Market Revenue Analysis
Chapter 11 Global Artificial Intelligence Market in Automotive-by Vehicle Type
11.1 Market Share Analysis
11.2 Attractive Investment Proposition
11.3 Market Revenue Analysis
Chapter 11 Global Artificial Intelligence Market in Automotive-by Region
11.1 North America
11.1.1 North America Artificial Intelligence Market in Automotive-by Technology
11.1.2 North America Artificial Intelligence Market in Automotive-by Offering
11.1.3 North America Artificial Intelligence Market in Automotive-by Deployment
11.1.4 North America Artificial Intelligence Market in Automotive-by Device
11.1.5 North America Artificial Intelligence Market in Automotive-by Components
11.1.6 North America Artificial Intelligence Market in Automotive-by Application
11.1.7 North America Artificial Intelligence Market in Automotive-by Vehicle Type
11.1.8 North America Artificial Intelligence Market in Automotive-by Country
11.2 Europe
11.2.1 Europe Artificial Intelligence Market in Automotive-by Technology
11.2.2 Europe Artificial Intelligence Market in Automotive-by Offering
11.2.3 Europe Artificial Intelligence Market in Automotive-by Deployment
11.2.4 Europe Artificial Intelligence Market in Automotive-by Device
11.2.5 Europe Artificial Intelligence Market in Automotive-by Components
11.2.6 Europe Artificial Intelligence Market in Automotive-by Application
11.2.7 Europe Artificial Intelligence Market in Automotive-by Vehicle Type
11.2.8 Europe Artificial Intelligence Market in Automotive-by Country
11.3 Asia Pacific
11.3.1 Asia Pacific Artificial Intelligence Market in Automotive-by Technology
11.3.2 Asia Pacific Artificial Intelligence Market in Automotive-by Offering
11.3.3 Asia Pacific Artificial Intelligence Market in Automotive-by Deployment
11.3.4 Asia Pacific Artificial Intelligence Market in Automotive-by Device
11.3.5 Asia Pacific Artificial Intelligence Market in Automotive-by Components
11.3.6 Asia Pacific Artificial Intelligence Market in Automotive-by Application
11.3.7 Asia Pacific Artificial Intelligence Market in Automotive-by Vehicle Type
11.3.8 Asia Pacific Artificial Intelligence Market in Automotive-by Country
11.4 Latin America
11.4.1 Latin America Artificial Intelligence Market in Automotive-by Technology
11.4.2 Latin America Artificial Intelligence Market in Automotive-by Offering
11.4.3 Latin America Artificial Intelligence Market in Automotive-by Deployment
11.4.4 Latin America Artificial Intelligence Market in Automotive-by Device
11.4.5 Latin America Artificial Intelligence Market in Automotive-by Components
11.4.6 Latin America Artificial Intelligence Market in Automotive-by Application
11.4.7 Latin America Artificial Intelligence Market in Automotive-by Vehicle Type
11.4.8 Latin America Artificial Intelligence Market in Automotive-by Country
11.5 Middle East & Africa
11.5.1 Middle East & Africa Artificial Intelligence Market in Automotive-by Technology
11.5.2 Middle East & Africa Artificial Intelligence Market in Automotive-by Offering
11.5.3 Middle East & Africa Artificial Intelligence Market in Automotive-by Deployment
11.5.4 Middle East & Africa Artificial Intelligence Market in Automotive-by Device
11.5.5 Middle East & Africa Artificial Intelligence Market in Automotive-by Components
11.5.6 Middle East & Africa Artificial Intelligence Market in Automotive-by Application
11.5.7 Middle East & Africa Artificial Intelligence Market in Automotive-by Vehicle Type
11.5.8 Middle East & Africa Artificial Intelligence Market in Automotive-by Country
Chapter 12 Competitive Landscape
12.1 Key Player Comparison
12.2 Market Positioning
12.3 Segment Level Player Mapping
12.4 Key Strategies Adopted
12.5 Key Strategy Analysis
12.6 Recent Developments
12.7 Success-Factor Mapping
12.8. SWOT Analysis of Automotive OEMs (AI Integration)
12.9 AI Funding, by Major Countries
12.10 Major AI Automotive Start-ups
Chapter 13 Company Profiles
13.1 Demand Side
13.1.1 Premium Segment
13.1.2 Economy Segment
13.2 Supply Side
Chapter 14 Appendix
Chapter 15 Author Details
Chapter 16 Terms & Conditions
Chapter 17 Contact Us
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