生成AI（GenAI）とその自動車分野のユースケースに関する戦略的インサイト

生成AIは、今後10年間で自動車のバリューチェーンに破壊的変化をもたらす

生成AI（GenAI）は、自動車を含む業界全体に影響を与え続けています。今後10年間で、GenAIは自動車のバリューチェーンに大きな影響を与え、効率性と生産性を向上させ、廃棄物を削減すると予想されています。サプライチェーンでは、在庫と需要予測の最適化に活用され、製品開発では、設計アイデアの創出、試作・テストの加速、市場投入までの期間短縮に活用されます。製造業では、組立ラインのボトルネックを解消し、生産エンジニアが情報に基づいた意思決定を行うためのリアルタイムの洞察を提供するのに活用されます。小売業では、ディーラーに24時間365日体制の販売サポートを提供し、潜在顧客と人間のようなインタラクションを実現できます。車内では、GenAIを搭載した音声アシスタントが今後10年間で標準機能となります。自動車のライフサイクルを超えて、GenAIは自動運転車の開発と運用に大きく貢献します。今後10年間で、自動運転車向けソリューションに特化したGenAIスタートアップ企業が次々と登場し、イノベーションを牽引し、自動運転車の開発を加速させます。GenAIは、車両管理、配車予約、料金設定、ルート計画の効率化を支援することで、シェアリングモビリティをサポートします。ロジスティクス分野では、最適な車両の選定、リアルタイムの交通データに基づくルート計画、顧客サポート機能において重要な役割を果たします。また、財務、人事、マーケティングなど、企業全体の様々な機能においても重要な役割を果たします。

目次

分析範囲

自動車におけるGenAIの成長ジェネレーター

• 成長促進要因
• 成長抑制要因

GenAIの概要

• 組織がGenAIを導入する主な理由
• GenAI vs. 従来のAI
• 自動車用GenAIエコシステム - 主要ステークホルダー
• アプリケーション別、GenAIツールの選択
• 最も人気のあるGenAIツール
• GenAIに対するIT意思決定者の認識
• 課題 - 組織におけるGenAIに関する懸念事項
• 主要地域別、新興のAI規制
• GenAIの概要 - 要点

サプライチェーンにおけるGenAI

• 自動車におけるGenAIの可能なアプリケーションのスナップショット
• 自動車サプライチェーンにおけるGenAIの可能なユースケース
• 自動車サプライチェーンにおけるGenAI - アプリケーションの確実性
• サプライチェーンにおけるGenAI - 要点

製造におけるGenAI

• 自動車製品設計におけるGenAIの可能なユースケース
• GenAI画像生成ツールの選択
• ケーススタディ - 製品設計 - Toyota
• ケーススタディ - Ferrari
• 自動車設計におけるGenAI - アプリケーションの確実性
• 自動車生産におけるGenAIの可能なユースケース
• 自動車生産におけるGenAI - アプリケーションの確実性
• GenAIの導入、生産現場でのOEM別
• ケーススタディ - Mercedes-Benz
• 製造におけるGenAIの概要 - 要点

自動車小売におけるGenAI

• 自動車小売におけるGenAIの可能なユースケース
• ケーススタディ - マーケティング：Lexus/Toyota
• 自動車小売 - GenAIを活用した販売シナリオ
• ケーススタディ - 販売：Fullpath
• ケーススタディ - 販売：BMW + Accenture
• ケーススタディ - 顧客管理：Ford
• 自動車小売におけるGenAI - アプリケーションの確実性
• 小売におけるGenAIの概要 - 要点

車載GenAI

• 車載GenAIの可能なユースケース
• GenAI搭載の音声アシスタントを導入したOEM
• ケーススタディ - Nio AI音声アシスタント
• ケーススタディ - Mercedes-Benz
• ケーススタディ - 言語ローカライゼーション：KIA
• 自動車サプライヤーがGenAI音声アシスタントに注目
• ケーススタディ - Soundhound AI
• ケーススタディ - Continental & Google
• ケーススタディ - Cerence-Skoda
• 車室内GenAI - アプリケーションの確実性
• 車室内GenAI - 要点

自動車のライフサイクルを超えて

• AVにおけるGenAIの可能なユースケース
• ADにおける進化するGenAIケーススタディ
• ケーススタディ - Forvia Hella
• シェアードモビリティにおけるGenAIの可能なユースケース
• ケーススタディ - Turo
• ロジスティクスにおけるGenAIの可能なユースケース
• ロジスティクスにおけるGenAIのユースケースシナリオ
• 自動車のライフサイクルを超えたGenAI - 要点

成長機会ユニバース

• 成長機会1：AIを活用した音声アシスタントによるサブスクリプション収益
• 成長機会2：AIドリブンの製造時代の到来
• 成長機会3：顧客エンゲージメントの変革

付録と次のステップ

• 成長機会のメリットと影響
• 次のステップ
• 資料リスト
• 免責事項

Generative AI will Disrupt the Automotive Value Chain in the Next Decade, Most Immediately Inside the Vehicle Cabin through Generative AI Voice Assistants

Generative AI (Gen AI) continues to create an impact across industries including automotive. In the next decade, Gen AI is expected to significantly influence automotive value chains, increase efficiency, productivity, and reduce wastes. In the supply chain, it will be used to optimize inventory and demand forecasting while in product development it can be used to generate design ideas, accelerate prototyping, testing and to shorten the time-to-market. In manufacturing, it can be used to reduce bottlenecks on the assembly line and provide real time insights to production engineers to make informed decisions. In retail, it can be used to provide 24x7 sales support to dealerships executing human- like interactions with potential customers. Inside the vehicle, Gen AI- driven voice assistants will become standard features in the next decade. Beyond the automotive lifecycle, Gen AI will make a significant contribution towards autonomous vehicle development and operation. Gen AI start-ups which focus on solutions for autonomous vehicles will crop up in the coming decade driving innovation and fast tracking the development of such vehicles. Gen AI will support shared mobility by helping increase the efficiency of fleet management, ride booking, pricing, and route planning. In logistics, it will play a key role in choosing the optimal vehicle for a trip, plan routes based on real time traffic data, and customer support functions. Gen AI will also play a key role across various corporate functions including Finance, Human Resources, and Marketing.

Scope of Analysis

• Examine possible generative AI use cases in the automotive value chain.
• Look at evolving use cases and analyze them to understand their impact on the future automotive value chain.
• Break down the automotive value chain into subsegments and discuss potential applications.
• Analyze generative AI's potential integration into existing automotive products and solutions.
• Examine the challenges associated with generative AI in the workplace and use cases that highlight the concerns regarding this technology.
• Derive growth opportunities and key takeaways stemming from the analysis.

Growth Drivers

The Rapid Technological Transformation in the Automotive Industry:

The automotive industry has seen transformational shifts in the past decade, with automakers embracing innovative technologies to digitize operations. GenAI will augment this transformation.

Endeavor to Enhance the In-Cabin Experience:

Automakers are always on the lookout for ways in which they can enhance the in-cabin experience for their customers. GenAI will enable OEMs to offer next-generation human-machine interfaces through GenAI-powered voice assistants.

Improve Efficiency and Profitability:

GenAI can help automate redundant tasks and, coupled with a voice assistant, provide real-time status updates on active tasks, thereby increasing the efficiency of decision-making. This leads to reduced operational tasks and a better bottom line.

Focus on Increasing the Quality of Customer Engagement:

Companies intend to enhance customer engagement and satisfaction by leveraging new technologies. GenAI enables companies to increase the efficiency of customer support chatbots, facilitating 24/7 support in natural languages.

Growth Restraints

Data Privacy Concerns:

Instances of sensitive company data leaking into the public domain through GenAI applications make companies uneasy and apprehensive about adopting this technology.

Issues with Reliability:

GenAI tools have been found to hallucinate and give out factually incorrect information, which could be seen as an unreliable technology in the short term. As the technology matures, the accuracy will improve.

Regulatory Issues:

Governments could view GenAI suspiciously over the ethics around the use of it by companies and common citizens, and the negative impact it can have on various facets of society. This could result in adverse regulations against the use of GenAI.

Practicality:

For organizations to effectively leverage the power of GenAI, they need large datasets and significant computing power. This could be difficult to achieve for organizations in the short term.

Impact of the Top 3 Strategic Imperatives on GenAI in Automotive Market

Customer Value Chain Compression

• Generative AI (GenAI) can automate customer interaction touchpoints that could not be automated efficiently earlier.
• GenAI can understand customer requirements and respond accordingly, almost creating a humanlike conversation when coupled with a voice assistant.

Disruptive Technologies

• GenAI is a disruptive technology that can ease the workload and support employees in an organization to achieve their goals faster and with greater accuracy and efficiency.

Industry Convergence

• GenAI large language models (LLMs) offer numerous possible use cases for all industries, including automotive.
• GenAI has the potential to accelerate innovations in next-generation technologies and products.

Table of Contents

Scope

• Scope of Analysis
• Why is it Increasingly Difficult to Grow?
• The Strategic Imperative 8
• Impact of the Top 3 Strategic Imperatives on GenAI in Automotive Market
• Growth Environment: Transformation of GenAI in Automotive
• Key Takeaways
• Key Automotive Ecosystem Players Using GenAI
• Key Automaker GenAI Use Case By Value Chain
• GenAI Types and Impact on Automotive Use Case by 2030
• Potential Applications of GenAI in Key Corporate Functions
• Car Models with GenAI Voice Assistants
• Price to Access GenAI Voice Assistants in Cars
• GenAI in Automotive-Current Adoption vs Future Impact
• Case Study-Valeo

Growth Generator in GenAI in Automotive

• Growth Drivers
• Growth Restraints

Overview of GenAI

• Key Reasons for Organizations to Adopt GenAI
• GenAI Vs Traditional AI
• The Automotive GenAI Ecosystem-Key Stakeholders
• Select GenAI Tools by Application
• Most Popular GenAI Tools
• IT Decision-Makers' Perception Towards GenAI
• Challenges-Concerns Around GenAI in Organizations
• Emerging AI Regulations by Key Regions
• Overview of GenAI-Key Takeaways

GenAI in Supply Chain

• Snapshot of Possible GenAI Applications in Automotive
• Possible Use Cases of GenAI in Automotive Supply Chain
• GenAI in Automotive Supply Chain-Certainty of Application
• GenAI in Supply Chain-Key Takeaways

GenAI in Manufacturing

• Possible Use Cases of GenAI in Automotive Product Design
• Select GenAI Image Generator Tools
• Case Study-Product Design-Toyota
• Case Study-Ferrari
• GenAI in Automotive Design-Certainty of Application
• Possible Use Cases of GenAI in Automotive Production
• GenAI in Automotive Production-Certainty of Application
• GenAI Adoption by OEMs in Production
• Case Study-Mercedes-Benz
• Overview of GenAI in Manufacturing-Key Takeaways

GenAI in Automotive Retail

• Possible Use Cases of GenAI in Automotive Retail
• Case Study-Marketing: Lexus/Toyota
• Automotive Retail-Sales Scenario Using GenAI
• Case Study-Sales: Fullpath
• Case Study-Sales: BMW + Accenture
• Case Study-Customer Management: Ford
• GenAI in Automotive Retail-Certainty of Application
• Overview of GenAI in Retail-Key Takeaways

In-Vehicle GenAI

• Possible Use Cases of In-Vehicle GenAI
• OEMs with GenAI-Powered Voice Assistants
• Case Study-Nio AI Voice Assistant
• Case Study-Mercedes-Benz
• Case Study-Linguistic Localization: KIA
• Automotive Suppliers Focus on GenAI Voice Assistant
• Case Study-Soundhound AI
• Case Study-Continental & Google
• Case Study-Cerence-Skoda
• GenAI in the Vehicle Cabin-Certainty of Application
• GenAI in the Vehicle Cabin-Key Takeaways

Beyond the Automotive Life Cycle

• Possible Use Cases of GenAI in Autonomous Vehicles
• Evolving GenAI Case Studies in Autonomous Driving
• Case Study-Forvia Hella
• Possible Use Cases of GenAI in Shared Mobility
• Case Study-Turo
• Possible Use Cases of GenAI in Logistics
• GenAI Use Case Scenario in Logistics
• GenAI Beyond Automotive Life Cycle-Key Takeaways

Growth Opportunity Universe

• Growth Opportunity 1: Subscription Revenue Through Generative AI Powered Voice Assistants
• Growth Opportunity 2: Usher in an Era of AI-driven Manufacturing
• Growth Opportunity 3: Transform Customer Engagement

Appendix & Next Steps

• Benefits and Impacts of Growth Opportunities
• Next Steps
• List of Exhibits
• Legal Disclaimer