List of Contents

Cloud Computing In Automotive Market Size, Share, and Trends 2024 to 2034

Cloud Computing in Automotive Market (By Service Model: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS); By Application: Connected Cars, Autonomous Driving, Vehicle Development, Manufacturing, Supply Chain Management; By Deployment Type: Public Cloud, Private Cloud, Hybrid Cloud) - Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032

  • Last Updated : October 2023
  • Report Code : 3365
  • Category : ICT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Cloud Computing in Automotive Market 

5.1. COVID-19 Landscape: Cloud Computing in Automotive Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Cloud Computing in Automotive Market, By Service Model

8.1. Cloud Computing in Automotive Market, by Service Model, 2023-2032

8.1.1 Infrastructure as a Service (IaaS)

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. Platform as a Service (PaaS)

8.1.2.1. Market Revenue and Forecast (2020-2032)

8.1.3. Software as a Service (SaaS)

8.1.3.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global Cloud Computing in Automotive Market, By Application

9.1. Cloud Computing in Automotive Market, by Application, 2023-2032

9.1.1. Connected Cars

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. Autonomous Driving

9.1.2.1. Market Revenue and Forecast (2020-2032)

9.1.3. Vehicle Development

9.1.3.1. Market Revenue and Forecast (2020-2032)

9.1.4. Manufacturing

9.1.4.1. Market Revenue and Forecast (2020-2032)

9.1.5. Supply Chain Management

9.1.5.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global Cloud Computing in Automotive Market, By Deployment Type 

10.1. Cloud Computing in Automotive Market, by Deployment Type, 2023-2032

10.1.1. Public Cloud

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. Private Cloud

10.1.2.1. Market Revenue and Forecast (2020-2032)

10.1.3. Hybrid Cloud

10.1.3.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global Cloud Computing in Automotive Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.1.2. Market Revenue and Forecast, by Application (2020-2032)

11.1.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.1.4.2. Market Revenue and Forecast, by Application (2020-2032)

11.1.4.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.1.5.2. Market Revenue and Forecast, by Application (2020-2032)

11.1.5.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.2. Europe

11.2.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.2.2. Market Revenue and Forecast, by Application (2020-2032)

11.2.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.2.4.2. Market Revenue and Forecast, by Application (2020-2032)

11.2.4.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.2.5.2. Market Revenue and Forecast, by Application (2020-2032)

11.2.5.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.2.6.2. Market Revenue and Forecast, by Application (2020-2032)

11.2.6.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.2.7.2. Market Revenue and Forecast, by Application (2020-2032)

11.2.7.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.3. APAC

11.3.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.3.2. Market Revenue and Forecast, by Application (2020-2032)

11.3.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.3.4.2. Market Revenue and Forecast, by Application (2020-2032)

11.3.4.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.3.5.2. Market Revenue and Forecast, by Application (2020-2032)

11.3.5.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.3.6.2. Market Revenue and Forecast, by Application (2020-2032)

11.3.6.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.3.7.2. Market Revenue and Forecast, by Application (2020-2032)

11.3.7.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.4. MEA

11.4.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.4.2. Market Revenue and Forecast, by Application (2020-2032)

11.4.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.4.4.2. Market Revenue and Forecast, by Application (2020-2032)

11.4.4.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.4.5.2. Market Revenue and Forecast, by Application (2020-2032)

11.4.5.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.4.6.2. Market Revenue and Forecast, by Application (2020-2032)

11.4.6.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.4.7.2. Market Revenue and Forecast, by Application (2020-2032)

11.4.7.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.5.2. Market Revenue and Forecast, by Application (2020-2032)

11.5.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.5.4.2. Market Revenue and Forecast, by Application (2020-2032)

11.5.4.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Service Model (2020-2032)

11.5.5.2. Market Revenue and Forecast, by Application (2020-2032)

11.5.5.3. Market Revenue and Forecast, by Deployment Type (2020-2032)

Chapter 12. Company Profiles

12.1. Amazon Web Services (AWS)

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. Microsoft Azure

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. Google Cloud Platform

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. IBM Cloud

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. Oracle Cloud

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. Alibaba Cloud

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. SAP

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. Siemens

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. Bosch

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. Continental

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

Ask For Sample

No cookie-cutter, only authentic analysis – take the 1st step to become a Precedence Research client