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汽車產業量子運算用途策略概述
市場調查報告書
商品編碼
1368215

汽車產業量子運算用途策略概述

Strategic Overview of Quantum Computing Applications in the Automotive Industry
出版日期: | 出版商: Frost & Sullivan | 英文 75 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

新產品開發計劃專注於製程最佳化和先進材料研究

該分析重點關注汽車行業中的量子計算創新，以及將該技術整合到供應鏈、材料研究、車輛設計、車輛測試、組裝、製造、零售、售後和車輛行駛中的重要性。我猜。與量子運算處理器整合的模擬可以幫助汽車更快地分析多個預生產場景，並具有更高的準確性和更快的交付時間，從而獲得競爭優勢。量子運算還可以幫助在量子層級上模擬電池材料的複雜分子特性以及反應和行為，使OEM能夠使用新型永續材料設計低成本電池。

該技術還可以幫助最佳化交通管理和車輛路線。 BMW、福斯、豐田、現代、戴姆勒和福特正在針對某些使用案例試點量子計算。儘管具有較小變數集的概念驗證（POC）看起來很有希望，但未來的計劃將需要擴大基礎設施、量子位元品質和複雜參數集的使用。在投資量子研究之前，確定正確的使用案例非常重要。 OEM應該與專業服務專家合作，幫助他們發現問題、開發概念驗證，並最終整合到日常生產流程中。然而，高昂的投資成本和現有的合適技術（用於數位化汽車價值鏈）目前阻礙了OEM實施動態。透過確定正確的用例並採用量子和經典計算的混合模型，OEM可以兩全其美。該分析整體情況了量子計算以及當前阻礙汽車行業量子發展勢頭的挑戰。我們分析OEM合作夥伴關係和關鍵使用案例。

目錄

戰略衝動

  • 成長為何困難
  • The Strategic Imperative 8（TM）
  • 戰略要務對汽車量子運算產業的影響
  • 推動Growth Pipeline Engine（TM） 的成長機會

成長機會分析

  • 分析範圍
  • 成長促進因素
  • 成長抑制因素
  • 主要發現

汽車產業的量子計算

  • 經典比特和量子比特
  • 經典電腦和量子電腦
  • 量子計算方法
  • 量子運算將如何改變產業？
  • 量子運算領域
  • 汽車價值鏈中的量子計算
  • 相關人員概覽
  • 汽車產業在量子運算方面的合作
  • 汽車產業利用量子計算當前面臨的挑戰
  • 未來的混合營運模式

產品設計中的量子計算

  • 使用案例細分
  • 汽車產品設計的量子模擬
  • 產品設計中的量子模擬與汽車合作
  • 量子模擬徹底改變了 F1 賽車
  • 電動汽車電池設計的量子化學
  • 案例研究 - 使用量子模擬探索福特電動車電池材料
  • 其他OEM配合措施-電動車電池和燃料電池設計
  • 汽車在產品設計階段使用量子模擬
  • 產品設計中的量子計算 - 重點

製造業中的量子計算

  • 使用案例細分
  • 製造業中的量子計算
  • 流程最佳化中的量子計算
  • 案例研究：BMW利用量子計算進行機器人途徑最佳化
  • 使用基於量子的機器學習預測系統維護
  • 量子數位孿生
  • 汽車製造領域的量子計算合作夥伴關係
  • 汽車OEM和一級供應商探索製造業中的量子計算
  • 製造業中的量子計算

適用於零售、售後和移動車輛的量子計算

  • 使用案例細分
  • 零售和售後中的量子計算使用案例分析
  • 移動車輛中的量子計算使用案例
  • 案例研究 - 用於運輸和路線最佳化的量子計算
  • 用於未來汽車安全的量子密碼學
  • 汽車探索零售、售後和車載車輛中的量子計算
  • 零售、售後和車載中的量子計算 - 要點

供應鏈中的量子計算

  • 使用案例細分
  • 量子運算將如何徹底改變供應鏈？
  • 案例研究：富士通和豐田最佳化供應鏈物流
  • 案例研究：BMW和霍尼韋爾最佳化供應商管理
  • 量子計算對供應鏈使用案例的影響分析

成長機會宇宙

  • 成長機會 1 -尖端材料研究
  • 成長機會2 - 車輛設計模擬
  • 成長機會3－利用量子運算進行即時交通路線與車輛最佳化
  • 圖表列表
  • 免責聲明
簡介目錄
Product Code: PF30-44

New Product Development Initiatives to Focus on Process Optimization and Advanced Materials Research

This analytics highlights quantum computing innovation in the automotive industry and the significance of integrating this technology in supply chain, materials research, vehicle design, vehicle testing, assembly, manufacturing, retail, after-sales, and vehicle-in-motion. Simulations integrated with quantum computing processors analyze multiple pre-production scenarios substantially faster; they are more accurate and have a shorter turnaround time, helping automakers stay ahead of the competition. Quantum computing also helps simulate complex molecular properties and battery material reactions and behaviors at the quantum level and can enable OEMs to design low-cost batteries with new, sustainable materials.

The technology can help optimize traffic management and vehicle routing. BMW, VW, Toyota, Hyundai, Daimler, and Ford are piloting (in partnership) quantum computing for select use cases. Though the proof-of-concept (Poc) for a smaller set of variables looked promising, the future plan will involve scaling up the infrastructure, qubits quality, and using complex sets of parameters. Identifying the right use case is critical before investing in quantum research. OEMs should partner with professional services experts that can help with problem identification through proof-of-concept development and eventually integration into day-to-day production processes. However, huge investment costs and existing pertinent technologies (to digitize the automotive value chain) are currently hindering quantum adoption among OEMs. Right use case identification, coupled with a hybrid quantum-classical computing model, will enable OEMs to achieve the best of both worlds. This analytics presents the overall scope of quantum computing and the current challenges hindering quantum momentum in the automotive industry. It analyzes OEM partnerships and key use cases.

Table of Contents

Strategic Imperatives

  • Why is it Increasingly Difficult to Grow?
  • The Strategic Imperative 8™
  • The Impact of the Top 3 Strategic Imperatives on the Automotive Quantum Computing Industry
  • Growth Opportunities Fuel the Growth Pipeline Engine™

Growth Opportunity Analysis

  • Scope of Analysis
  • Growth Drivers
  • Growth Restraints
  • Key Findings

Quantum Computing in the Automotive Industry

  • Classical Bits vs. Qubits
  • Classical vs. Quantum Computers
  • Quantum Computing Methods
  • How can Quantum Computing Transform Industry Verticals?
  • Quantum Computing Domains
  • Quantum Computing Across the Automotive Value Chain
  • Stakeholder Overview
  • Automotive Partnerships in Quantum Computing
  • Current Challenges to Using Quantum Computing in the Automotive Industry
  • Hybrid Operating Model of the Future

Quantum Computing in Product Design

  • Use Case Segmentation
  • Quantum Simulations for Automotive Product Design
  • Quantum Simulation in Product Design-Automotive Partnerships
  • Quantum Simulation to Revolutionize F1 Racing
  • Quantum Chemistry for EV Battery Design
  • Case Study-Ford's Exploration of EV Battery Materials Using Quantum Simulations
  • Other OEM Initiatives-EV Battery & Fuel Cell Design
  • Automotive OEMs Exploring Quantum in Product Design Phase
  • Quantum Computing in Product Design-Key Takeaways

Quantum Computing in Manufacturing

  • Use Case Segmentation
  • Quantum Computing in Manufacturing
  • Quantum Computing in Process Optimization
  • Case Study-BMW's Use of Quantum Computing for Robot Path Optimization
  • Quantum-based Machine Learning for Predictive System Maintenance
  • Quantum Digital Twins
  • Partnerships for Quantum Computing in Automotive Manufacturing
  • Automotive OEMs & Tier I Suppliers exploring Quantum Computing in Manufacturing
  • Quantum in Manufacturing-Key Takeaways

Quantum Computing in Retail, Aftersales and Vehicle In-Motion

  • Use Case Segmentation
  • Quantum Computing Use Case Analysis in Retail & Aftersales
  • Quantum Computing for Vehicle In-Motion Use Cases
  • Case Study-Quantum Computing for Traffic and Route Optimization
  • Quantum Cryptography for Future Vehicle Security
  • Automotive OEMs Exploring Quantum Computing in Retail, Aftersales, & Vehicle In-Motion
  • Quantum in Retail, Aftersales and Vehicle In-Motion-Key Takeaways

Quantum Computing in Supply Chain

  • Use Case Segmentation
  • How can Quantum Computing Revolutionize the Supply Chain?
  • Case Study-Fujitsu and Toyota Optimize Supply Chain Logistics
  • Case Study-BMW and Honeywell Optimize Supplier Management
  • Impact Analysis of Quantum Computing in Supply Chain Use Cases

Growth Opportunity Universe

  • Growth Opportunity 1-Advanced Materials Research
  • Growth Opportunity 2-Vehicle Design Simulations
  • Growth Opportunity 3-Real Time Traffic Route and Fleet Optimization through Quantum Computing
  • List of Exhibits
  • Legal Disclaimer