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Artificial Intelligence in Automotive Market worth $25.87 billion by 2030, growing at a CAGR of 26.98% - Exclusive Report by 360iResearch
Artificial Intelligence in Automotive Market | 360iResearch
The Global Artificial Intelligence in Automotive Market to grow from USD 4.85 billion in 2023 to USD 25.87 billion by 2030, at a CAGR of 26.98%.
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Automotive artificial intelligence (AI) uses AI technology to develop intelligent vehicle systems. These AI systems empower vehicles with advanced capabilities, such as autonomous driving, safety features, and smart connectivity. It facilitates the development of self-driving cars, automated fleet management, advanced safety features, and intuitive user interfaces. One of the most significant advancements in this domain is the introduction of AI-powered automotive cockpits. These advanced systems serve various functions that enhance both driver and passenger experiences. AI automotive cockpit integrates voice-activated assistants and advanced driver assistance systems (ADAS) to help drivers interact with their vehicles without taking their hands off the wheel or eyes off the road, significantly improving safety while offering convenience. Artificial intelligence's application in the automotive industry has significantly impacted the construction of in-vehicle user experience and security, resulting in a growing demand for AI technology within the automotive sector. Government regulations, the adoption of ADAS, and the increasing preference for autonomous vehicles have further fueled the implementation of AI in the automotive space. While there are growth opportunities, particularly in the premium segment cars, the cybersecurity concerns associated with AI-enabled vehicles pose a significant challenge in the market. Moreover, the development of advanced AI platforms for autonomous driving is expected to create a lucrative market o[opportunity in the forecasted period.
The Americas has a significant landscape in artificial intelligence in the automotive market owing to the increasing development of autonomous technology and the presence of several tech giants and automotive companies investing heavily in AI research and development. Europe has a robust automotive industry with established automakers and suppliers actively exploring AI applications. Technological advancements in the automotive industry by key market vendors have accelerated the market demand in the region. Europe has well-defined regulations and standards for AI applications and autonomous vehicles in the automotive sector. Clear guidelines and support from regulatory bodies create a conducive environment for AI adoption, fostering the demand for AI-driven automotive technologies in Europe. APAC has a growing landscape in artificial intelligence in the automotive market due to the large and fast-growing automotive manufacturing hub and significant demand for smart and connected vehicles, which fuels the adoption of AI technologies in the automotive sector in the region.
Market Segmentation & Coverage:
This research report categorizes the Artificial Intelligence in Automotive Market in order to forecast the revenues and analyze trends in each of following sub-markets:
Based on Offerings, market is studied across Hardware and Software. The Hardware is further studied across Neuromorphic Architecture and Von Neumann Architecture. The Software is further studied across Platforms and Solutions. The Software is projected to witness significant market share during forecast period.
Based on Technology, market is studied across Computer Vision, Context Awareness, Deep Learning, Machine Learning, and Natural Language Processing. The Context Awareness is projected to witness significant market share during forecast period.
Based on Process, market is studied across Data Mining, Image Recognition, and Signal Recognition. The Signal Recognition is projected to witness significant market share during forecast period.
Based on Functionality, market is studied across Adaptive Climate Control, Advanced Driver Assistance Systems (ADAS), Full-Cabin Monitoring, Gesture Control, Predictive Maintenance Alerts, Vehicle Occupancy Detection, and Voice Recognition. The Predictive Maintenance Alerts is projected to witness significant market share during forecast period.
Based on Application, market is studied across Autonomous Vehicle, Human-Machine Interface, and Semi-Autonomous Driving. The Autonomous Vehicle is projected to witness significant market share during forecast period.
Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Asia-Pacific commanded largest market share of 37.47% in 2023, followed by Europe, Middle East & Africa.
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FPNV Positioning Matrix:
The FPNV Positioning Matrix is essential for assessing the Artificial Intelligence in Automotive Market. It provides a comprehensive evaluation of vendors by examining key metrics within Business Strategy and Product Satisfaction, allowing users to make informed decisions based on their specific needs. This advanced analysis then organizes these vendors into four distinct quadrants, which represent varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital(V).
Market Share Analysis:
The Market Share Analysis offers an insightful look at the current state of vendors in the Artificial Intelligence in Automotive Market. By comparing vendor contributions to overall revenue, customer base, and other key metrics, we can give companies a greater understanding of their performance and what they are up against when competing for market share. The analysis also sheds light on just how competitive any given sector is about accumulation, fragmentation dominance, and amalgamation traits over the base year period studied.
Key Company Profiles:
The report delves into recent significant developments in the Artificial Intelligence in Automotive Market, highlighting leading vendors and their innovative profiles. These include Advanced Micro Devices, Inc., Alphabet Inc., Aptiv PLC, Audi AG, Baidu Inc., Bayerische Motoren Werke AG, Continental AG, General Motors Company, Harman International Industries, Inc., Honda Motor Co., Ltd., Intel Corporation, International Business Machines Corporation, Mercedes-Benz Group AG, Micron Technology, Inc., Microsoft Corporation, NVIDIA Corporation, Optimus Ride, Qualcomm Inc., Rivian Automotive, Inc.,, Robert Bosch GmbH, Tesla, Inc., TomTom, Toyota Motor Corporation, Velodyne Lidar Inc., Volkswagen AG, Volvo Car Corporation, and Xpeng Inc..
Key Topics Covered:
1. Preface
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
6. Artificial Intelligence in Automotive Market, by Offerings
7. Artificial Intelligence in Automotive Market, by Technology
8. Artificial Intelligence in Automotive Market, by Process
9. Artificial Intelligence in Automotive Market, by Functionality
10. Artificial Intelligence in Automotive Market, by Application
11. Americas Artificial Intelligence in Automotive Market
12. Asia-Pacific Artificial Intelligence in Automotive Market
13. Europe, Middle East & Africa Artificial Intelligence in Automotive Market
14. Competitive Landscape
15. Competitive Portfolio
The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments
The report answers questions such as:
1. What is the market size and forecast of the Artificial Intelligence in Automotive Market?
2. Which are the products/segments/applications/areas to invest in over the forecast period in the Artificial Intelligence in Automotive Market?
3. What is the competitive strategic window for opportunities in the Artificial Intelligence in Automotive Market?
4. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Automotive Market?
5. What is the market share of the leading vendors in the Artificial Intelligence in Automotive Market?
6. What modes and strategic moves are considered suitable for entering the Artificial Intelligence in Automotive Market?
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