2018汽车工业中的人工智能(英文版)_57页-2mb
报告摘要
2018 Crash Course Summary: Putting the AI in the Automotive Industry
Core Content
The 2018 Crash Course document explores the transformative impact of digitalization, artificial intelligence (AI), and other emerging technologies on the automotive industry, focusing on the entire auto ownership life cycle. It highlights how these technologies are reshaping consumer behavior, vehicle sales, insurance models, and repair practices.
Main Views
1. Auto Sales and Consumer Behavior
- Global and U.S. Sales Trends: In 2017, over 90 million vehicles were sold globally, with the U.S. being one of the largest markets. U.S. light vehicle sales in 2016 reached a record 17.55 million, and while 2017 saw a slight decline, it was still considered a strong year due to higher average prices.
- Light Trucks Dominance: Light trucks accounted for 64.5% of U.S. new vehicle sales in 2017, driven by higher profit margins (often over 10%) compared to passenger cars.
- Future Projections: Auto sales are expected to slow in 2018, with estimates between 16.5 million and 16.9 million. The rise of ride-sharing and autonomous vehicles may further reduce personal vehicle ownership, with studies suggesting a significant decline in privately owned vehicles by 2050.
- Leasing and Subscription Models: Leasing remains a popular option, with 29% of new vehicle sales in 2017 being leases. Subscription models are emerging as alternatives, offering access to vehicles, insurance, and maintenance in a single flat rate. Companies like Volvo, GM, and Ford are experimenting with these models.
2. Insurance and Auto Ownership
- Premium Growth: The U.S. private passenger auto insurance market grew by 7.5% in CY 2016, reaching over $200 billion in net premiums. Premiums have risen alongside vehicle costs, leading to higher deductible choices among consumers.
- UBI and Telematics: Usage-based insurance (UBI) and telematics are becoming more prevalent, allowing insurers to use data from onboard devices to assess risk and improve customer engagement. By 2020, 70% of auto insurance carriers are expected to use telematics UBI.
- Role of AI in Insurance: AI is enabling more personalized and efficient insurance services, including automated claim notifications, proactive updates, and chatbots that use natural language processing. These innovations aim to improve customer satisfaction and streamline processes.
3. Vehicle Technology and Innovation
- Advances in AutoTech: 2017 marked a significant year for partnerships, acquisitions, and product development in the automotive tech space. Over $4.5 billion in equity funding was allocated to auto tech, up from $1.5 billion in 2016.
- Vehicle Connectivity: Telematics and vehicle-to-everything (V2X) communication are becoming standard, with 33 million light vehicles equipped with telematics in 2016 and an estimated 70% of vehicles by 2023. Companies like GM, Ford, and Tesla are leading the charge in connectivity and software updates.
- Autonomous Vehicles: Autonomous driving is gaining traction, with companies like Waymo and GM testing self-driving vehicles on public roads. The document predicts that by 2018, multiple cities will see fleets of autonomous vehicles deployed for commercial use.
- Electric Vehicles (EVs): Despite low adoption rates in the U.S., automakers are pushing forward with electrification. Toyota, GM, and Ford are developing EV families, with Tesla's Model 3 expected to be a key player. However, consumer demand for EVs remains limited, suggesting the need for government incentives and cost reductions.
4. Collision Repair and Future Implications
- ADAS and Crash Avoidance: Advanced driver assistance systems (ADAS) have already shown a reduction in bodily injury claims and costs. The document suggests that AI and machine learning may further improve crash avoidance, potentially leading to a "Road to Zero" in fatalities.
- Repair Trends: The repair industry is adapting to new technologies, with OEMs providing more detailed repair guidance. The average repair cost for collision claims is well above $500, indicating that even with higher deductibles, repair costs remain significant.
- End-of-Life Considerations: If a vehicle cannot be repaired, the consumer may be more inclined to return to the 'Buy' phase, possibly opting for a subscription model or a used vehicle.
Key Information
- Consumer Trends: Increased interest in SUVs and CUVs, rising interest rates, and affordability concerns are shaping future vehicle purchases.
- Market Dynamics: The used vehicle market is expected to remain strong, with lease returns helping to stabilize prices. However, higher MSRP of new vehicles may keep used vehicle values elevated.
- Technological Integration: Voice recognition, gesture control, and AI are becoming standard features in new vehicles, improving safety and convenience.
- Insurance Evolution: The insurance industry is moving toward digital-first models, with a focus on improving customer experience through telematics, chatbots, and real-time updates.
- Future Outlook: The automotive industry is on the brink of a major transformation, driven by AI, connectivity, and vehicle autonomy. While the timeline for full adoption is uncertain, the impact on traditional ownership models is clear.
Conclusion
The automotive industry is undergoing a fundamental shift due to technological advancements. The integration of AI, telematics, and autonomous driving is redefining how consumers buy, use, and insure vehicles. These changes are expected to have long-term effects on the entire automotive ecosystem, from sales and leasing to repair and insurance. As the industry continues to evolve, the focus is shifting toward more flexible, personalized, and data-driven solutions.
试读结束,高清完整版pdf/doc/ppt,请点下载