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| 1. | INTRODUCTION |
| 1.1. | Supercomputers and cloud computing |
| 1.2. | Laptop/desktop/server computers |
| 1.3. | System on a Chip (SoC) |
| 1.4. | Microcontroller units (MCUs) |
| 1.5. | Components |
| 1.6. | Anatomy of a generic device |
| 1.7. | Compute power |
| 1.8. | How are microcontrollers used? |
| 1.9. | Capabilities/limitations |
| 1.10. | Beyond microcontrollers |
| 2. | APPLICATIONS |
| 2.1. | Smart cards |
| 2.2. | Home and office |
| 2.3. | Automotive |
| 2.3.1. | Automotive: Spansion today |
| 2.3.2. | Autonomous vehicles tomorrow |
| 2.4. | DC-DC converter with MCU |
| 2.5. | Education |
| 2.6. | Wearable technologies |
| 2.7. | Internet of Things (IoT) |
| 2.7.1. | IoT: Key enabling technology |
| 2.8. | RFMod'sBeanIoT |
| 2.9. | Touch screen controllers |
| 2.10. | Motor control: BLDC |
| 2.11. | Motor control for traction: BLDC |
| 2.12. | Toy quadcopter |
| 2.13. | Motor control for traction: BLDC |
| 2.14. | Motor control: brushed DC |
| 2.15. | Motor control: stepper motors |
| 2.16. | Rotary joint |
| 2.17. | Sensor fusion |
| 2.18. | Artificial intelligence: deep learning |
| 2.19. | Quadcopters and other multirotors |
| 2.20. | 3D printers |
| 2.21. | Microwave ovens |
| 2.22. | Washing machines |
| 3. | TECHNOLOGIES |
| 3.1. | Core MCU technologies |
| 3.2. | MCU manufacturing processes |
| 3.3. | Optimising power consumption |
| 3.4. | Low power battery backup |
| 3.5. | MCU architectures |
| 3.6. | MCU components: |
| 3.6.1. | Memory |
| 3.6.2. | IO |
| 3.7. | MCU co-processors: |
| 3.7.1. | DSPs |
| 3.7.2. | FPGAs |
| 3.7.3. | PLDs and CPLDs |
| 3.8. | MCU software: |
| 3.8.1. | Operating systems |
| 3.8.2. | Programming languages |
| 3.9. | Case study: Texas Instruments |
| 3.10. | Adjacent technologies |
| 3.11. | Sensors |
| 3.11.1. | Inertial measurement units (IMUs) |
| 3.11.2. | Global Positioning System (GPS) |
| 3.11.3. | Depth cameras |
| 3.12. | Communications |
| 3.13. | Actuators |
| 3.14. | Artificial Intelligence |
| 4. | PLAYERS |
| 4.1. | MCU and Single-board computer vendors |
| 4.1.1. | Renesas Electronics |
| 4.1.2. | NXP+Freescale |
| 4.1.3. | Microchip+Atmel |
| 4.1.4. | Atmel |
| 4.1.5. | ST Microelectronics |
| 4.1.6. | Infineon Technologies |
| 4.1.7. | Texas Instruments (TI) |
| 4.1.8. | Cypress/Spansion |
| 4.1.9. | Samsung |
| 4.1.10. | Intel |
| 4.1.11. | Digispark |
| 4.1.12. | Arduino/Genuino |
| 4.1.13. | Apple |
| 4.1.14. | |
| 4.1.15. | Amazon |
| 4.1.16. | Raspberry Pi Foundation |
| 4.1.17. | Beagleboard |
| 4.2. | Some more MCU prototyping boards |
| 4.3. | And many more SBCs |
| 5. | TRENDS |
| 5.1. | MCU architectures |
| 5.2. | Consolidation on the ARM architecture |
| 5.3. | Open source hardware |
| 5.4. | Moore's Law |
| 5.5. | Prices equilibrating |
| 5.6. | Trends |
| 6. | MARKETS |
| 6.1. | MCU value chains |
| 6.2. | MCU players by total company revenue ($ billion) |
| 6.3. | Geographical breakdown |
| 6.4. | MCU market share by revenue ($ billion) |
| 6.5. | Proportionof revenue from MCUs |
| 6.6. | Cumulative genuine Arduino sales |
| 6.7. | Car forecast |
| 6.8. | Wearable technologies forecast |
| 6.9. | Internet of Things forecast |
| 6.10. | Microcontroller forecast |
| 6.11. | Raspberry Pi by geography |
| 6.12. | SBC installed bases |
| 6.13. | SBC market |
| 6.14. | Declining desktop PC sales |
| 6.15. | Single-board computer market forecast |
| 6.16. | Single-board computer forecast |
| Slides | 137 |
|---|---|
| Forecasts to | 2026 |