USD 129.12 billion
Report ID:
SQMIG45A2064 |
Region:
Global |
Published Date: March, 2024
Pages:
197
|Tables:
65
|Figures:
72
Global Automotive Artificial Intelligence (AI) Market size was valued at USD 129.12 billion in 2022 and is poised to grow from USD 178.31 billion in 2023 to USD 2359.05 billion in 2031, at a CAGR of 38.1% during the forecast period (2024-2031).
Artificial intelligence (AI) is one of the slowest advances in software engineering. It is related to human intelligence through equivalence qualities such as language acquisition, reasoning, learning, and critical thinking. Manufacturers on the market are observing enormous and fundamental scientific difficulties in reorienting and correcting innovations. Moreover, the development of automotive business relies on to drive the automotive artificial intelligence market. The automotive industry has come across the promise of artificial intelligence and is one of the notable companies using AI to augment and replicate human activity.
Artificial intelligence (AI) is one of the slowest advances in software engineering. It is related to human intelligence through equivalence qualities such as language acquisition, reasoning, learning, and critical thinking. Manufacturers on the market are observing enormous and fundamental scientific difficulties in reorienting and correcting innovations.
Moreover, the development of automotive business relies on to drive the automotive artificial intelligence market. The automotive industry has come across the promise of artificial intelligence and is one of the notable companies using AI to augment and replicate human activity.
US Automotive Artificial Intelligence (AI) Market is poised to grow at a sustainable CAGR for the next forecast year.
Global Market Size
USD 129.12 billion
Largest Segment
inertia sensors
Fastest Growth
inertia sensors
Growth Rate
38.1% CAGR
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Global Automotive Artificial Intelligence (AI) Market is segmented on the basis of Technology type, end user, and region. By Technology, the market is sub-segmented into cameras, RADAR, GPS, LiDAR, and inertia sensors and Others. By End user, the Automotive Artificial Intelligence (AI) Market is categorized into Autonomous Driving, Semi-Autonomous Driving, Human–Machine Interface. By region, the Automotive Artificial Intelligence (AI) Market is segmented into North America, Latin America, Europe, Asia Pacific, and MEA.
Automotive Artificial Intelligence (AI) Market Analysis by Technology
By Technology type, the inertia sensors segment is likely to see significant growth rates in the coming years. One of his most important technologies enabling autonomous driving is deep learning. A versatile tool that can solve almost any problem. Self-driving cars are more powerful than high-performance graphics cards, computers, and massive amounts of data. If it spreads, traffic congestion will be alleviated and traffic safety will improve. A self-driving car is an autonomous decision -making system. It can process data streams from various sensors such as cameras, radar, GPS, LiDAR, and inertial sensors. This information is modeled using deep learning algorithms that make decisions based on the vehicle's current environment.
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The Automotive Artificial Intelligence Market in North America is expected to grow at a high rate. The early adoption of technologies such as AI, machine learning, deep learning and automation. Additionally, the growing trend toward autonomous and electric vehicles and increasing implementation of driver assistance technologies contributes to the increase in per capita income in the region. This is some of the aspects that continue to lead the North American region.
Asia-Pacific is experiencing significant growth across all fronts, including consumer electronics, internet infrastructure, economic growth, and spending opportunities. Increased demand for luxury vehicles, increased investment in AI technology to improve productivity, and introduction of AI-based solutions and services for autonomous and semi-autonomous applications are all driving growth in the region, driven by government initiatives contribute.
The South Korean government aims to invest significant resources worth USD 6.15 billion to expand its nationwide production of automation systems and industrial robots. Several cases similar to the above point to positive growth in the Asia-Pacific automated artificial intelligence market. In addition, the development of internet and connectivity infrastructure, increasing adoption of smart solutions to automate operations, and increasing digitization are also contributing to the market growth in the region.
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Automotive Artificial Intelligence (AI) Market Drivers
Rapid Adoption of Advanced Technology is Influencing Demand for Automotive Artificial Intelligence
Automotive Artificial Intelligence (AI) Market Restraints
Safety Concerns to Hinder Market Growth
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The Global Automotive Artificial Intelligence (AI) Market is highly fragmented with the presence of several small and large market players operating all over the world. Major companies of the market are implementing several business strategies such as new product launches, acquisition & mergers, collaboration, and partnerships for the expansion of their geographical presence and their product portfolio.
Automotive Artificial Intelligence (AI) Market Top Players Company Profiles
Automotive Artificial Intelligence (AI) Market Recent Developments
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Co-relates, and Analyses the Data collected utilizing Primary Exploratory Research backed by the robust Secondary Desk research.
According to our global Automotive Artificial Intelligence (AI) Market analysis, the rising use of cloud-based computing platforms and on-premises hardware to safely restore large amounts of data has paved the way for scaling analytics platforms. Increased investment in research and development by major companies will also play an important role in promoting the adoption of artificial intelligence technology. The NLP segment is expected to gain momentum during the forecast period. NLP is increasingly being used by various businesses to better understand customer preferences, evolving trends, buying behavior, decision-making processes, and more.
Report Metric | Details |
---|---|
Market size value in 2022 | USD 129.12 billion |
Growth Rate | 38.1% |
Base year | 2023 |
Forecast period | 2024-2031 |
Segments covered |
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Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
Companies covered |
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Customization scope | Free report customization with purchase. Customization includes:-
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Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
For the Automotive Artificial Intelligence (AI) Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Automotive Artificial Intelligence (AI) Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Automotive Artificial Intelligence (AI) Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
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Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
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Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
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Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
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Report ID: SQMIG45A2064
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