Global Automotive Artificial Intelligence
Market Report
2024
Automotive Artificial Intelligence Market size is USD 2.1 Billion in 2024 and will expand at a compound annual growth rate (CAGR) of 23.80% from 2024 to 2031.
The base year for the calculation is 2023 and 2019 to 2023 will be historical period. The year 2024 will be estimated one while the forecasted data will be from year 2025 to 2031. When we deliver the report that time we updated report data till the purchase date.
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According to Cognitive Market Research, the global automotive artificial intelligence market size will be USD 2.1 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 23.8% from 2024 to 2031.
Base Year | 2023 |
Historical Data Time Period | 2019-2023 |
Forecast Period | 2024-2031 |
Global Automotive Artificial Intelligence Market Sales Revenue 2024 | $ 2.1 Billion |
Global Automotive Artificial Intelligence Market Sales Revenue 2030 | $ 17.97 Billion |
Global Automotive Artificial Intelligence Market Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 23.8% |
Market Split by Offering |
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Market Split by Technology |
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Market Split by Process |
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Market Split by Application |
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Market Split by Component |
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List of Competitors |
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Regional Analysis |
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Country Analysis |
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Key Qualitative Information Covered |
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Automotive Artificial Intelligence Market is Segmented as below. Particular segment of your interest can be provided without any additional cost. Download the Sample Pages!
One of the software engineering fields with the slowest advancements is artificial intelligence (AI). Through similar traits like language learning, reasoning, learning, and critical thinking, it is connected to human intelligence. Market-based manufacturers are witnessing significant and fundamental scientific challenges in reorienting and rectifying advances. Furthermore, the market for automotive artificial intelligence is driven by the growth of the automotive industry. One of the major industries utilizing artificial intelligence to complement and duplicate human behavior is the automobile sector, which has seen the promise of this technology.
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Qualcomm released the 4th generation Snapdragon Automotive Cockpit Platforms in June 2022. Using 5nm processing technology, the digital cockpit platform seeks to provide automakers with one of the best system-on-chips (SoCs) available.
Top Companies Market Share in Automotive Artificial Intelligence Industry: (In no particular order of Rank)
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According to Cognitive Market Research, in 2024, North America held the greatest revenue share of 30%, dominating the market—the early adoption of automation, deep learning, AI, and machine learning technology. The region's rising per capita income is also a result of the expanding trend towards electric and driverless cars as well as the increased use of driver assistance technologies. These are a few of the factors that keep the North American region at the forefront.
Throughout the projected period, Asia Pacific is anticipated to develop at the fastest CAGR. In terms of consumer electronics, internet infrastructure, economic growth, and purchasing potential, Asia-Pacific is expanding significantly. Growth in the region is being pushed by government initiatives, which are also fueled by rising demand for luxury cars, increased investment in AI technology to increase efficiency, and the launch of AI-based services and solutions for autonomous and semi-autonomous applications.
The current report Scope analyzes Automotive Artificial Intelligence Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com
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Global Automotive Artificial Intelligence Market Report 2024 Edition talks about crucial market insights with the help of segments and sub-segments analysis. In this section, we reveal an in-depth analysis of the key factors influencing Automotive Artificial Intelligence Industry growth. Automotive Artificial Intelligence market has been segmented with the help of its Offering, Technology Process, and others. Automotive Artificial Intelligence market analysis helps to understand key industry segments, and their global, regional, and country-level insights. Furthermore, this analysis also provides information pertaining to segments that are going to be most lucrative in the near future and their expected growth rate and future market opportunities. The report also provides detailed insights into factors responsible for the positive or negative growth of each industry segment.
Based on present and future trends, the market size is estimated from 2019 to 2031. Moreover, study also provides quantitative and qualitative analysis of each type to understand the driving factors for the fastest growing type segment for Automotive Artificial Intelligence market.
Offering of Automotive Artificial Intelligence analyzed in this report are as follows:
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This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends and opportunities for each application of Automotive Artificial Intelligence from 2019 to 2031. This will also help to analyze the demand for Automotive Artificial Intelligence across different end-use industries. Our research team will also help acquire additional data such as Value Chain, Patent analysis, Company Evaluation Quadrant (Matrix), and much more confidential analysis and data insights.
Some of the key Technology of Automotive Artificial Intelligence are:
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Analysis According to Cognitive Market Research, the GPU segment is expected to dominate the market. GPUs are becoming a bigger and bigger deal. ADAS platforms can leverage the GPU's graphics processing power to process and analyze sensor data in real-time. In order to handle digital dashboards with several high-resolution screens that provide maps, predictions, and other visual information while driving, GPUs are currently installed in the majority of modern cars. 1080p resolution is becoming standard in mid-range cars, and 4K TVs are becoming more common in luxury and executive cars.
Senior Research Analyst at Cognitive Market Research
ResearchGate Profile: https://www.researchgate.net/profile/Kalyani-Raje
An optimistic Senior Research Analyst with years of experience in competitive assessment and business consulting. A seasoned professional and subject-matter expert (SME) in the Automobile and transportation vertical.
With a work experience of over 10+ years in the market research and strategy development. I have worked with diverse industries, including FMCG, IT, Telecom, Automotive, Electronics and many others. I also work closely with other departments such as sales, product development, and marketing to understand customer needs and preferences, and develop strategies to meet those needs.
I am committed to staying ahead in the rapidly evolving field of research and analysis. This involves regularly attending conferences, participating in webinars, and pursuing additional certifications to enhance my skill set. I played a crucial role in conducting market research and competitive analysis. I have a proven track record of distilling complex datasets into clear, concise reports that have guided key business initiatives. Collaborating closely with multidisciplinary teams, I contributed to the development of innovative solutions grounded in thorough research and analysis.
Our study will explain complete manufacturing process along with major raw materials required to manufacture end-product. This report helps to make effective decisions determining product position and will assist you to understand opportunities and threats around the globe.
The Global Automotive Artificial Intelligence Market is witnessing significant growth in the near future.
In 2023, the Software segment accounted for noticeable share of global Automotive Artificial Intelligence Market and is projected to experience significant growth in the near future.
The Deep Learning segment is expected to expand at the significant CAGR retaining position throughout the forecast period.
Some of the key companies Nvidia Corporation (US) , Intel Corporation (US) and others are focusing on its strategy building model to strengthen its product portfolio and expand its business in the global market.
Please note, we have not disclose, all the sources consulted/referred during a market study due to confidentiality and paid service concern. However, rest assured that upon purchasing the service or paid report version, we will release the comprehensive list of sources along with the complete report and we also provide the data support where you can intract with the team of analysts who worked on the report.
Disclaimer:
Offering | Software, Hardware |
Technology | Deep Learning, Machine Learning, Context-aware Computing, Computer Vision, Natural Language Processing |
Process | Signal Recognition, Image Recognition, Data Mining |
Application | Human–Machine Interface, Semi-autonomous Driving, Autonomous Driving, Identity Authentication, Driver Monitoring, Autonomous Driving Processor Chips |
Component | Graphics processing unit (GPU), Microprocessors (Incl. ASIC), Field Programmable Gate Array (FPGA), Memory and Storage systems, Image Sensors, Biometric Scanners, Others |
List of Competitors | Nvidia Corporation (US), Alphabet Inc. (US), Intel Corporation (US), Microsoft Corporation (US), IBM Corporation (US), Qualcomm Inc. (US), Tesla Inc. (US), BMW AG (Germany), Micron Technology (US), Xilinx Inc. (US) |
This chapter will help you gain GLOBAL Market Analysis of Automotive Artificial Intelligence. Further deep in this chapter, you will be able to review Global Automotive Artificial Intelligence Market Split by various segments and Geographical Split.
Chapter 1 Global Market Analysis
Global Market has been segmented on the basis 5 major regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America.
You can purchase only the Executive Summary of Global Market (2019 vs 2024 vs 2031)
Global Market Dynamics, Trends, Drivers, Restraints, Opportunities, Only Pointers will be deliverable
Chapter 2 North America Market Analysis
Chapter 3 Europe Market Analysis
Chapter 4 Asia Pacific Market Analysis
Chapter 5 South America Market Analysis
Chapter 6 Middle East and Africa Market Analysis
Only Available with Corporate User License
Chapter 7 Top 10 Countries Analysis (Only Available with Corporate User License)
Competitor's Market Share and Revenue (Subject to Data Availability for Private Players)
Chapter 8 Competitor Analysis (Subject to Data Availability (Private Players))
(Subject to Data Availability (Private Players))
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Chapter 9 Qualitative Analysis (Subject to Data Availability)
Segmentation Offering Analysis 2019 -2031, will provide market size split by Offering. This Information is provided at Global Level, Regional Level and Top Countries Level The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 10 Market Split by Offering Analysis 2019 -2031
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Chapter 11 Market Split by Technology Analysis 2019 -2031
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Chapter 12 Market Split by Process Analysis 2019 -2031
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Chapter 13 Market Split by Application Analysis 2019 -2031
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Chapter 14 Market Split by Component Analysis 2019 -2031
This chapter helps you understand the Key Takeaways and Analyst Point of View of the global Automotive Artificial Intelligence market
Chapter 15 Research Findings
Here the analyst will summarize the content of entire report and will share his view point on the current industry scenario and how the market is expected to perform in the near future. The points shared by the analyst are based on his/her detailed in-depth understanding of the market during the course of this report study. You will be provided exclusive rights to interact with the concerned analyst for unlimited time pre purchase as well as post purchase of the report.
Why Software have a significant impact on Automotive Artificial Intelligence market? |
What are the key factors affecting the Software and Hardware of Automotive Artificial Intelligence Market? |
What is the CAGR/Growth Rate of Deep Learning during the forecast period? |
By type, which segment accounted for largest share of the global Automotive Artificial Intelligence Market? |
Which region is expected to dominate the global Automotive Artificial Intelligence Market within the forecast period? |
Segmentation Level Customization |
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Region level Data Customization |
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Country level Data Customization |
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Company Level |
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Additional Data Analysis |
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Additional Qualitative Data |
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Additional Quantitative Data |
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