Dec 19, 2023   SOURCE: BusinessWire

Quantum Computing Applications in the Automotive Industry Strategic Overview 2023: Focus on Product Design, Manufacturing, Retail, Aftersales and Vehicle In-Motion. and Supply Chain - ResearchAndMarkets.com

The "Strategic Overview of Quantum Computing Applications in the Automotive Industry" report has been added to ResearchAndMarkets.com's offering.

This analytics report provides an overview of quantum computing's scope and the challenges it faces in gaining momentum within the automotive industry. It explores the partnerships between original equipment manufacturers (OEMs) and key use cases for quantum computing in the automotive sector.

The report underscores the innovative potential of quantum computing in various aspects of the automotive industry, including supply chain management, materials research, vehicle design, testing, manufacturing, retail, after-sales services, and even real-time applications during vehicle operation.

Quantum computing's advantage lies in its ability to simulate complex scenarios quickly and accurately, which is crucial for automakers to maintain a competitive edge. It can expedite pre-production scenario analyses, improve accuracy, and reduce turnaround times. Additionally, quantum computing can simulate molecular properties and battery material reactions at the quantum level, facilitating the design of cost-effective batteries with sustainable materials.

The technology also has the potential to optimize traffic management and vehicle routing. Several major automakers, including BMW, VW, Toyota, Hyundai, Daimler, and Ford, are collaborating on pilot projects to explore quantum computing's applications. While early proof-of-concept results look promising for specific variables, scaling up infrastructure and improving qubit quality are part of future plans. Identifying the right use cases is essential before making substantial investments in quantum research, and OEMs are advised to collaborate with professional services experts for problem identification, proof-of-concept development, and eventual integration into their production processes.

However, the report acknowledges that significant investment costs and the presence of existing technologies for digitizing the automotive value chain are currently barriers to quantum adoption among OEMs. The identification of the correct use cases, along with a hybrid quantum-classical computing approach, is expected to help OEMs leverage the benefits of both technologies effectively.

Key Topics Covered:

1 Strategic Imperatives

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

2 Growth Opportunity Analysis

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

3 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

4 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

5 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

6 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

7 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

8 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

A selection of companies mentioned in this report includes

  • BMW
  • Daimler
  • Ford
  • Hyundai
  • Toyota
  • VW

For more information about this report visit https://www.researchandmarkets.com/r/xo5ogq

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