This report is no longer available. Click here to view our current reports or contact us to discuss a custom report.
If you have previously purchased this report then please use the download links on the right to download the files.
| 1. | EXECUTIVE SUMMARY AND CONCLUSIONS |
| 1.1. | Definitions and scope |
| 1.2. | A natural next stage |
| 1.3. | IoT infrastructure |
| 1.4. | IoT contrasted with IoP |
| 1.5. | IoT value chain and bias vs IoP |
| 1.6. | Potential applications examples |
| 1.6.1. | Losing privacy, committing crime, solving crime |
| 1.7. | Examples of IoT opportunities and suppliers |
| 1.8. | Hype and nonsense |
| 1.9. | The bigger vision |
| 1.10. | But wider deployment means compromises and new challenges |
| 1.11. | Some megatrends favour IoT: others do not |
| 1.12. | Impediments to IoT |
| 1.13. | System and software issues |
| 1.13.1. | Severe security breaches continue |
| 1.13.2. | Choosing a low power WAN |
| 1.13.3. | Sensor fusion |
| 1.13.4. | Artificial intelligence: deep learning |
| 1.13.5. | Lower power ICs, more frugal node activation |
| 1.14. | Hardware |
| 1.14.1. | IoT nodes: basics |
| 1.14.2. | System on a Chip (SoC) |
| 1.14.3. | Microcontroller units (MCUs) |
| 1.14.4. | Anatomy of a generic device |
| 1.14.5. | Compute power |
| 1.14.6. | How are microcontrollers used? |
| 1.14.7. | Capabilities, limitations, application |
| 1.14.8. | Beyond microcontrollers |
| 1.14.9. | Single Board Computer SBC |
| 1.14.10. | Internet of Things nodes |
| 1.14.11. | New IoT formats: RFMOD's BeanIoT |
| 1.14.12. | IoT node with up to ten sensors and battery power: cost structure excluding batteries |
| 1.14.13. | Energy harvesting EH choice |
| 1.14.14. | 1Wi-Fi harvesting |
| 1.15. | Investment in IoT development 2014-2020 |
| 1.16. | Industry standards ferment and SIGfox, NBIOT etc contention |
| 1.17. | Market forecasts 2017-2027 |
| 1.17.1. | Internet of Things forecasts 2017-2027 - numbers (billions) |
| 1.17.2. | Internet of Things forecasts 2017-2027 - unit price (US$) |
| 1.17.3. | Internet of Things forecasts 2017-2027 - node market value ex-factory (US$ billions) |
| 1.17.4. | IoT systems globally 2017-2027 (US$ billions) |
| 1.17.5. | Allied market forecasts and data |
| 1.17.6. | EV and 48V mild hybrid global forecasts number K 2017-2027 |
| 1.17.7. | IDTechEx EV and 48V mild hybrid global forecasts $ billion 2017-2027 |
| 1.17.8. | On-road Level 4/5 autonomous vehicles forecasts |
| 1.17.9. | Ten-year market forecasts for all agricultural robots and drones segmented by type and/or function |
| 1.17.10. | Ten-year market forecasts for agricultural robots and drones segmented by type and/or function |
| 1.17.11. | Market for IoT wearable devices: medical |
| 2. | INTRODUCTION |
| 2.1. | What is IoT? |
| 2.2. | Example of possible applications: wearable IoT |
| 2.3. | The IoT dream |
| 2.4. | Many rename existing things without IP addresses as IoT: this is unhelpful |
| 2.5. | Heroic forecasts retained despite a quiet 2016 |
| 2.6. | Why is IoT gaining attention? |
| 2.6.1. | Primary driver |
| 2.6.2. | New technology |
| 2.6.3. | Oil and gas |
| 2.6.4. | Manufacturing etc. Bosch view |
| 2.6.5. | Utilities |
| 2.6.6. | Transportation |
| 2.6.7. | Automotive |
| 2.6.8. | Retail |
| 2.6.9. | Local government |
| 2.6.10. | Smart home |
| 2.6.11. | Bottom line |
| 2.7. | Automotive IoT in more detail |
| 2.7.1. | Introduction |
| 2.7.2. | Sensors: IoT potential for insight, safety, performance |
| 2.7.3. | Automobiles mapping pollution |
| 2.7.4. | Automobile and smart home |
| 2.7.5. | Cars as an IoT subscription service |
| 2.7.6. | Some trends resulting |
| 2.7.7. | Recent Acquisitions and mergers in automotive IoT |
| 2.8. | Impediments |
| 2.9. | Disagreements and uncertainty |
| 2.10. | System and node operational improvements |
| 2.10.1. | Overview of advances proceeding |
| 2.10.2. | Lower power ICs and different design approach facilitate low power EH adoption |
| 2.10.3. | Node to Node or Big Data? |
| 3. | CORE MICROCONTROLLER UNIT MCU TECHNOLOGIES |
| 3.1. | Manufacture |
| 3.2. | Optimising power consumption |
| 3.3. | Low power battery backup |
| 3.4. | MCU architectures |
| 3.5. | MCU components: memory |
| 3.6. | MCU components: IO |
| 3.7. | MCU co-processors: DSPs |
| 3.8. | MCU co-processors: FPGAs |
| 3.9. | MCU co-processors: PLDs and CPLDs |
| 3.10. | MCU software: Operating Systems |
| 3.11. | MCU software: programming languages |
| 3.12. | Case study: Texas Instruments MSP430G2333 |
| 4. | ADJACENT SYSTEM AND SENSOR TECHNOLOGIES |
| 4.1. | Sensors |
| 4.1.1. | Inertial measurement units (IMUs) |
| 4.1.2. | Global Positioning System (GPS) |
| 4.1.3. | Depth cameras |
| 4.2. | Communications |
| 5. | HARDWARE PLAYERS |
| 5.1. | Renesas Electronics |
| 5.2. | NXP+Freescale |
| 5.3. | Microchip+Atmel |
| 5.4. | Atmel |
| 5.5. | ST Microelectronics |
| 5.6. | Infineon Technologies |
| 5.7. | Texas Instruments (TI) |
| 5.8. | Cypress/Spansion |
| 5.9. | Samsung |
| 5.10. | Intel |
| 5.11. | Digispark |
| 5.12. | Arduino/Genuino |
| 5.13. | Apple |
| 5.14. | |
| 5.15. | Amazon |
| 5.16. | Raspberry Pi Foundation |
| 5.17. | Beagleboard |
| 5.18. | Some more MCU prototyping boards... |
| 5.19. | And many more SBCs... |
| 6. | SYSTEM AND HARDWARE TRENDS |
| 6.1. | Benchmarking Clarifies the Future of Internet of Things |
| 6.2. | Wide Area network choice - LoRaWAN and LoRa Alliance |
| 6.3. | eRIC |
| 6.4. | MCU architecture trends: ARM |
| 6.5. | Open source hardware and systems |
| 6.6. | Moore's Law |
| 6.7. | Prices equilibrating |
| 6.8. | Other MCU trends |
| 7. | APPENDIX: REPORT FROM THE IBM-ENOCEAN ALLIANCE MEETING |
| Slides | 171 |
|---|---|
| Forecasts to | 2027 |