| 1. | EXECUTIVE SUMMARY |
| 1.1. | What is a software-defined vehicle? |
| 1.2. | What's required for an SDV |
| 1.3. | Software-Defined Vehicle Level Guide |
| 1.4. | SDV Level Chart : Major OEMs compared |
| 1.5. | SDV Level Guide Explained |
| 1.6. | SDV feature map |
| 1.7. | SDV Feature Forecast 2013-2034 |
| 1.8. | SDV Feature Forecast 2013-2034 |
| 1.9. | Over-the-Air updates and diagnostics |
| 1.10. | SDV Feature Forecast (Global Revenue) |
| 1.11. | Software-Defined Vehicle Forecast (Units) |
| 1.12. | SDV Conclusions and Key Takeaways (1) |
| 1.13. | SDV Conclusions and Key Takeaways (2) |
| 1.14. | What is a Connected Vehicle? |
| 1.15. | Connected Vehicles Key Terminology |
| 1.16. | Radio Access Technologies Compared |
| 1.17. | The Connected Vehicle Supply Chain |
| 1.18. | Radio Access Technologies Compared |
| 1.19. | V2V/V2I Supply Chain |
| 1.20. | V2X Chipsets - Comparison |
| 1.21. | V2X Modules - Comparison |
| 1.22. | Example V2V/V2I use cases summarised |
| 1.23. | V2X Regional Regulatory Status |
| 1.24. | V2V/V2I Uptake Forecasting (expected) |
| 1.25. | V2V/V2I Radio Access Technology Forecast (expected) |
| 1.26. | Why 5G Matters for Autonomy |
| 2. | SOFTWARE-DEFINED VEHICLES |
| 2.1. | Overview |
| 2.1.1. | What is a software-defined vehicle? |
| 2.1.2. | SDV feature map |
| 2.1.3. | Why is there this hype? (1) |
| 2.1.4. | Why is there this hype? (2) |
| 2.1.5. | Software-Defined Vehicle Level Guide |
| 2.1.6. | SDV Level Chart : Major OEMs compared |
| 2.2. | Software-defined vehicle examples |
| 2.2.1. | Connectivity as a Service |
| 2.2.2. | SDV for Insurance (Allianz) |
| 2.2.3. | In-vehicle payments |
| 2.2.4. | Infotainment hardware |
| 2.2.5. | Infotainment (1) |
| 2.2.6. | Infotainment (2) |
| 2.2.7. | Hardware as a Service (HaaS) |
| 2.2.8. | Over-the-Air updates |
| 2.2.9. | Over-the-Air diagnostics |
| 2.2.10. | Autonomy as a Service (AaaS) |
| 2.2.11. | Personalization |
| 2.3. | Software-Defined Vehicle Hardware |
| 2.3.1. | SDV Hardware Requirements |
| 2.3.2. | Communication |
| 2.3.3. | Compute |
| 2.3.4. | Screens to facilitate connected features (1) |
| 2.3.5. | Screens to facilitate connected features (2) |
| 2.3.6. | Automotive transparent antennas |
| 2.3.7. | Selling a Chinese SDV in Europe - BYD |
| 2.4. | Case Studies |
| 2.4.1. | Ford |
| 2.4.2. | MG (SAIC) |
| 2.4.3. | Volkswagen |
| 2.4.4. | BMW (1) - Connected Drive Portal |
| 2.4.5. | BMW (2) - SDV Monetization |
| 2.4.6. | BMW (3) - Connected Package |
| 2.4.7. | BMW (4) - International Strategy |
| 2.5. | Generative AI for SDVs |
| 2.5.1. | What is a Generative AI? |
| 2.6. | In-vehicle generative AI |
| 2.6.1. | Smart Cockpit |
| 2.6.2. | Spike the personal assistant (AWS & BMW) |
| 2.6.3. | A personalized digital assistant (AWS) |
| 2.7. | Generative AI for automakers |
| 2.7.1. | Generative AI for Automotive Design |
| 2.7.2. | Vizcom (powered by Nvidia) |
| 2.7.3. | Microsoft - AI for automotive |
| 2.7.4. | Microsoft - M365 Copilot |
| 2.7.5. | Digital Twins and Simulated Autonomy |
| 2.7.6. | SDV-related Regulations |
| 2.8. | Conclusion |
| 2.8.1. | SDV Conclusions and Key Takeaways (1) |
| 2.8.2. | SDV Conclusions and Key Takeaways (2) |
| 3. | 3. V2X AND CONNECTED VEHICLE TECHNOLOGY |
| 3.1. | V2X Acronyms |
| 3.2. | What is a Connected Vehicle? |
| 3.3. | Why V2X |
| 3.4. | Radio Access Technologies Compared (1) |
| 3.5. | Connected Vehicles Key Terminology |
| 3.6. | Radio Access Technologies Compared (2) |
| 3.7. | Radio Access Technologies Compared |
| 3.8. | 3GPP Automotive Roadmap |
| 3.9. | Regulatory Status: DSRC vs C-V2X (1) |
| 3.10. | Regulatory Status: DSRC vs C-V2X (2) |
| 3.11. | Regulatory Status: DSRC vs C-V2X (3) |
| 3.12. | V2X Low Latency (PC5) use cases |
| 3.13. | V2X High Data Rate (Uu) use cases |
| 3.14. | Connected Vehicle Cybersecurity |
| 3.15. | C-V2X roadmap |
| 4. | V2V AND V2I USE CASES FOR SAFETY AND SUSTAINABILITY |
| 4.1. | Overview |
| 4.1.1. | What is V2V and V2I? |
| 4.1.2. | Day 1/Day 2/Day 3 |
| 4.1.3. | How V2V and V2I works |
| 4.2. | Current 'Day 1' V2V/V2I dependent use cases |
| 4.2.1. | V2V/V2I-required use cases (1) |
| 4.2.2. | V2V/V2I-required use cases (2) |
| 4.2.3. | V2V/V2I-required use cases (3) |
| 4.2.4. | V2V/V2I-required use cases (4) |
| 4.3. | Current use cases that benefit from V2V/V2I |
| 4.3.1. | V2V/V2I-beneficial use cases |
| 4.3.2. | Example V2V/V2I use cases summarised |
| 4.4. | Case Studies and the 5GAA |
| 4.4.1. | ZTE 5G and C-V2X use cases |
| 4.4.2. | 5G for Autonomous Vehicles: 5GAA |
| 4.4.3. | 5GAA C-V2X overview |
| 4.4.4. | Q&A with 5G Automotive Association (5GAA) director (1) |
| 4.4.5. | Q&A with 5G Automotive Association (5GAA) director (2) |
| 4.4.6. | Q&A with 5G Automotive Association (5GAA) director (3) |
| 4.4.7. | C-V2X: Automated valet parking in a 5G network (1) |
| 4.4.8. | C-V2X: Automated valet parking in a 5G network (2) |
| 5. | V2X ITS HARDWARE |
| 5.1. | V2X Hardware: What's in a V2X module |
| 5.2. | V2X Hardware: Key terms explained |
| 5.3. | Telematics Control Unit |
| 5.4. | The Connected Vehicle Supply Chain |
| 5.5. | V2V/V2I Supply Chain |
| 5.6. | V2X Chipsets: Qualcomm |
| 5.7. | V2X Chipsets: NXP & Huawei |
| 5.8. | V2X Chipsets: Autotalks |
| 5.9. | V2X Chipsets: Marvell and Morningcore |
| 5.10. | V2X Chipsets - Comparison |
| 5.11. | Alps Alpine Modules |
| 5.12. | Murata Modules |
| 5.13. | Quectel Modules |
| 5.14. | Cohda Wireless Modules, OBUs, & RSUs |
| 5.15. | Commsignia Modules, OBUs, & RSUs |
| 5.16. | V2X Modules - Comparison |
| 5.17. | V2X Hardware: RSUs and OBUs |
| 5.18. | Siemens RSUs |
| 5.19. | Huawei RSUs |
| 5.20. | AI-enhanced roadside unit (RSU) for future mobility (1) |
| 5.21. | AI-enhanced roadside unit (RSU) for future mobility (2) |
| 5.22. | Intelligent RSU for C-V2X side link positioning |
| 5.23. | V2X Software |
| 5.24. | V2X micromobility solutions |
| 5.25. | Connected Vehicle Conclusion and Thoughts |
| 6. | AUTONOMOUS VEHICLE CONNECTIVITY |
| 6.1. | Overview |
| 6.1.1. | Why Automate Cars? |
| 6.1.2. | The Automation Levels in Detail |
| 6.1.3. | Functions of Autonomous Driving at Different Levels |
| 6.1.4. | Roadmap of Autonomous Driving Functions in Private Cars |
| 6.1.5. | Typical Sensor Suite for Autonomous Cars |
| 6.1.6. | Evolution of Sensor Suites from Level 1 to Level 4 |
| 6.1.7. | Autonomous driving technologies |
| 6.1.8. | Why is cellular connectivity important for AVs |
| 6.1.9. | Connected aspects of Autonomous Vehicles |
| 6.1.10. | 4G compared to 5G |
| 6.1.11. | 4G compared to 5G visualized |
| 6.1.12. | Why 5G Matters for Autonomy |
| 6.1.13. | Why V2X Sidelink Matters for Autonomy (1) |
| 6.1.14. | Why V2X Sidelink Matters for Autonomy (2) |
| 6.1.15. | Level 2 Requirements |
| 6.1.16. | Level 3 Requirements |
| 6.1.17. | Level 4 (Private) Requirements |
| 6.1.18. | Level 4 (Robotaxi) Requirements |
| 6.1.19. | Autonomy Levels Requirements compared |
| 6.2. | Mapping and Localization |
| 6.2.1. | What is Localization? (1) |
| 6.2.2. | What is Localization? (2) |
| 6.2.3. | HD Mapping Assets: From ADAS Map to Full Maps for Level-5 Autonomy |
| 6.2.4. | HD Map as a Service |
| 6.2.5. | Civil Maps: Low-Data rate Maps |
| 6.3. | Teleoperation |
| 6.3.1. | Teleoperation: Enabling Autonomous MaaS |
| 6.3.2. | Three Levels of Teleoperation |
| 6.3.3. | How remote assistance works - Zoox |
| 6.3.4. | Remote assistance |
| 6.3.5. | Remote Control |
| 6.3.6. | Where is teleoperation currently used? |
| 6.3.7. | Players |
| 6.3.8. | MaaS vs Independent solution providers |
| 6.3.9. | Ottopia: 5G Advanced Teleoperation (1) |
| 6.3.10. | Ottopia: 5G Advanced Teleoperation (2) |
| 6.3.11. | Phantom Auto: Reliable 4G-based Teleoperation |
| 6.3.12. | Phantom Auto Gaining Momentum in Logistics |
| 6.3.13. | Case study: WMG - 5G to Support HD Content and Driver Assistance Systems |
| 6.3.14. | Case Study: Halo - Subverting Autonomy with 5G |
| 7. | FORECASTS |
| 7.1. | Forecasting Content |
| 7.2. | Forecasting Methodology |
| 7.3. | Software-Defined Vehicle Level Guide |
| 7.4. | Software-Defined Vehicle Forecast Methodology |
| 7.5. | Software-Defined Vehicle Forecast (Units) |
| 7.6. | Software-Defined Vehicle Forecast (Units) |
| 7.7. | Software-Defined Vehicle Forecast Methodology |
| 7.8. | SDV Forecast (Hardware Revenue) |
| 7.9. | SDV Forecast (Hardware Revenue) |
| 7.10. | SDV Feature Revenue Forecast Methodology |
| 7.11. | SDV Feature Revenue Forecast Methodology |
| 7.12. | SDV Feature Forecast (Global Revenue) |
| 7.13. | SDV Feature Forecast (Global Revenue) |
| 7.14. | SDV Revenue Combined Forecast |
| 7.15. | SDV Revenue Combined Forecast |
| 7.16. | SDV Feature Forecast 2013-2034 |
| 7.17. | SDV Feature Forecast 2013-2034 |
| 7.18. | V2V/V2I Uptake Forecasting (expected) |
| 7.19. | V2V/V2I Radio Access Technology Forecast (expected) |
| 7.20. | V2V/V2I Unit Sales Forecasting (expected) |
| 7.21. | V2V/V2I Unit Sales Forecasting (expected) |
| 8. | COMPANY PROFILES |
| 8.1. | AiDEN |
| 8.2. | AUO |
| 8.3. | Autocrypt |
| 8.4. | Black Sesame |
| 8.5. | BYD |
| 8.6. | Continental |
| 8.7. | Cruise |
| 8.8. | Ethernovia |
| 8.9. | JPMorgan Mobility Payments |
| 8.10. | Mobileye |
| 8.11. | Monumo |
| 8.12. | NXP Technologies |
| 8.13. | PreAct Technologies |
| 8.14. | Qualcomm: Sense ID |
| 8.15. | Qualcomm: SDVs |
| 8.16. | Qualcomm: Autonomy |
| 8.17. | Recogni |
| 8.18. | TCL |
| 8.19. | Visionox |
| 8.20. | Waymo |