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| 1. | EXECUTIVE SUMMARY |
| 1.1.1. | Executive Introduction |
| 1.1.2. | Different Drone Designs |
| 1.1.3. | Drone Designs: Aerodynamics |
| 1.1.4. | Sensor fusion: towards navigational autonomy |
| 1.1.5. | Hype cycle for drone applications |
| 1.2. | Executive Summary Drone Hardware |
| 1.2.1. | Why are there two types of drones? |
| 1.2.2. | Key Drone Hardware Trends |
| 1.2.3. | Hardware: Major Players |
| 1.2.4. | Benefits/Drawbacks of Fixed Wing |
| 1.2.5. | Benefits/Drawbacks of Rotary |
| 1.2.6. | Historical Trends: Hardware Drone Company Revenue |
| 1.2.7. | Historical Trends: Hardware Investment |
| 1.3. | Executive Summary Drone Software |
| 1.3.1. | Why software in drones matters |
| 1.3.2. | Historical Trends: Software Drone Company Revenue |
| 1.3.3. | Major Software Players |
| 1.3.4. | Specific Players in many sectors |
| 1.4. | Executive Summary Drone Sensors |
| 1.4.1. | Sensor Summary |
| 1.4.2. | Historic Revenue Trends: Drone Sensors |
| 1.5. | Executive Summary Drone Use Cases |
| 1.5.1. | Introduction |
| 1.5.2. | Different Applications have Different Maturity Levels |
| 1.5.3. | What technologies are needed |
| 1.5.4. | Market Growth/Share Matrix for Use Cases |
| 1.6. | Forecasts 2021-2031 |
| 1.6.1. | Revenue, Drones Market, 2021-2031 |
| 1.6.2. | Drone Hardware Forecasts, 2021-2031 |
| 1.6.3. | Hardware Market Split, 2021-2031 |
| 1.7. | Forecasts 2021-2041 |
| 1.7.1. | Use Case Forecast 2021-2031 |
| 1.7.2. | Use Case Forecast 2031-2041 |
| 2. | INTRODUCTION |
| 2.1. | What is a drone? |
| 2.2. | Different Drone Designs |
| 2.3. | Drone Designs: Aerodynamics |
| 2.4. | There is a wide geographical spread of companies |
| 2.5. | Drone Materials |
| 2.6. | Sensor fusion: towards navigational autonomy |
| 2.7. | Historic Drone Investment |
| 2.8. | Cost of Drones |
| 2.9. | Growth, the major players, and market size |
| 2.10. | Hype cycle for drone applications |
| 2.11. | The limit of regulations |
| 2.12. | Report Scope |
| 3. | AERODYNAMICS |
| 3.1.1. | Why are there two types of drones? |
| 3.2. | Fixed Wing Drones |
| 3.2.1. | Benefits/Drawbacks of Fixed Wing |
| 3.2.2. | Examples of fixed wing use cases |
| 3.2.3. | Fixed Wing Product Examples |
| 3.2.4. | Delair |
| 3.2.5. | Bluebird Aerosystems |
| 3.2.6. | Bormatec |
| 3.2.7. | AgEagle |
| 3.2.8. | Drone Volt |
| 3.2.9. | Applied Aeronautics |
| 3.2.10. | Black Swift Technologies |
| 3.2.11. | Robot Aviation |
| 3.2.12. | C-Astral |
| 3.2.13. | Rotary/ Quadcopter Drones |
| 3.2.14. | Benefits/Drawbacks of Rotary |
| 3.3. | Rotary Main Use Cases |
| 3.3.1. | Rotary Product Examples |
| 3.3.2. | DJI |
| 3.3.3. | Yuneec |
| 3.3.4. | Parrot |
| 3.4. | Historic Hardware Trends |
| 3.4.1. | Historical Trends: Hardware Drone Company Revenue |
| 3.4.2. | Historical Trends: Hardware Investment |
| 3.4.3. | Hardware: Major Players |
| 4. | DRONE SOFTWARE |
| 4.1. | An Introduction to AI |
| 4.1.1. | What is artificial intelligence (AI)? Terminologies explained |
| 4.1.2. | Main types of AI in Drones |
| 4.1.3. | Requirements for AI in Drones |
| 4.1.4. | Main deep learning (DL) approaches |
| 4.1.5. | DL makes automated image recognition possible |
| 4.1.6. | Image recognition AI is based on convolutional neural networks (CNNs) |
| 4.1.7. | Workings of CNNs: How are images processed? |
| 4.1.8. | Workings of CNNs: Another example |
| 4.1.9. | Common CNN architectures for image recognition |
| 4.1.10. | Milestones in DL: Image recognition surpasses human level |
| 4.1.11. | Limiting factors of image recognition AI using CNNs |
| 4.1.12. | Assessing algorithm performance: The importance of true/false positives/negatives |
| 4.1.13. | Measures in deep learning: Sensitivity and Specificity |
| 4.1.14. | Measures in deep learning: Area Under Curve (AUC) or area under curve of receiver operating characteristics (AUCROC) |
| 4.1.15. | When AUC is not a good measure of the algorithm success? |
| 4.1.16. | Measures in deep learning: Reproducibility |
| 4.1.17. | F1 Score |
| 4.1.18. | Drivers of image recognition AI usage in Drones |
| 4.2. | Examples of Drone Software Companies |
| 4.2.1. | Pix4D |
| 4.2.2. | Auterion |
| 4.2.3. | Drone Deploy |
| 4.2.4. | Precision Hawk |
| 4.2.5. | SkyWard |
| 4.2.6. | Propeller Aero |
| 4.3. | Historic Software Trends |
| 4.3.1. | Historical Trends: Software Drone Company Revenue |
| 4.3.2. | Major Software Players |
| 4.3.3. | Specific Players in many sectors |
| 4.3.4. | Historical Trends: Software Investment |
| 5. | DRONE SENSORS |
| 5.1.1. | Introduction |
| 5.2. | IMU |
| 5.2.1. | Inertial measurement unit (IMU) on drones |
| 5.2.2. | Inertial Labs |
| 5.2.3. | SBG Systems |
| 5.2.4. | Advanced Navigation |
| 5.3. | Mapping and Localisation Sensors |
| 5.3.1. | RADAR |
| 5.3.2. | LiDAR |
| 5.3.3. | Ultrasonic Sensors |
| 5.3.4. | GPS Sensors |
| 5.3.5. | Collision Avoidance Systems |
| 5.4. | Mapping and Localisation Sensor Company Profiles |
| 5.4.1. | SBG Systems |
| 5.4.2. | VectorNav Technologies |
| 5.4.3. | Leia GeoSystems |
| 5.4.4. | Velodyne LiDAR Sensors |
| 5.4.5. | Routescene |
| 5.4.6. | YellowScan |
| 5.5. | Image Sensors |
| 5.5.1. | Image Sensors: Thermal/Infrared |
| 5.5.2. | Image Sensors: Infrared Sensors |
| 5.5.3. | DJI / Zenmuse Thermal Visual XT2 |
| 5.5.4. | Yuneec |
| 5.5.5. | Image Sensors: Time-of-Flight |
| 5.5.6. | Texas Instruments |
| 5.5.7. | STMicroelectronics NV |
| 5.5.8. | Panasonic Corporation |
| 5.5.9. | Teledyne Technologies Incorporated |
| 5.5.10. | Infineon Technologies |
| 5.5.11. | Broadcom Inc |
| 5.5.12. | Terabee |
| 5.5.13. | Image Sensors: Multispectral |
| 5.5.14. | Sentera |
| 5.6. | Pressure Sensors |
| 5.6.1. | Texas Instruments |
| 5.7. | Altimeter Sensors |
| 5.7.1. | Altimeter Sensors |
| 5.7.2. | Bosch Sensortec |
| 5.7.3. | Terabee |
| 5.8. | Historic Sensor Trends |
| 5.8.1. | Historic Revenue Trends: Drone Sensors |
| 5.8.2. | Major Players in Drone Sensors |
| 6. | APPLICATION SPLIT |
| 6.1.1. | Introduction |
| 6.2. | Overall Scope of Use Cases |
| 6.2.1. | Different Applications have Different Maturity Levels |
| 6.2.2. | What technologies are needed |
| 6.2.3. | Market Growth/Share Matrix for Use Cases |
| 6.3. | Historic Revenue Split by Use Case |
| 6.3.1. | Historic Revenue Trends - Use Case |
| 6.4. | Use Case: Agriculture |
| 6.4.1. | Introduction |
| 6.4.2. | Value chain in agriculture |
| 6.4.3. | Satellite vs. drone mapping and scouting |
| 6.4.4. | Common drones used in agriculture for data acquisition |
| 6.4.5. | Case Study: Agriculture |
| 6.4.6. | Case Study: Agriculture Drone Software |
| 6.4.7. | AgEagle |
| 6.4.8. | Delair |
| 6.4.9. | Drones in agriculture: past, present and future |
| 6.4.10. | Agricultural drones: emergence of data analytics firms |
| 6.4.11. | Market Players |
| 6.5. | Use Case: Mapping and Localisation |
| 6.5.1. | Introduction |
| 6.5.2. | Drone mapping and modelling |
| 6.5.3. | Forestry |
| 6.5.4. | Inspection |
| 6.5.5. | 3D Mapping and modelling |
| 6.5.6. | Land surveying |
| 6.5.7. | Real estate |
| 6.5.8. | Construction |
| 6.5.9. | Mining |
| 6.5.10. | Mapping applications roadmap |
| 6.5.11. | Market Players |
| 6.6. | Use Case: Delivery and Logistics |
| 6.6.1. | Introduction |
| 6.6.2. | Delivery and Logistics: past, present and future |
| 6.6.3. | Why drone-based last mile delivery? |
| 6.6.4. | What different companies think about drone-based delivery? |
| 6.6.5. | Trends in charts: rise of e-commerce, fall of department stores, and accelerated closure of commercial real estates |
| 6.6.6. | Development timeline of drone use in last mile or remote area delivery |
| 6.6.7. | Amazon: Will it make drones as common as mail trucks in the future? |
| 6.6.8. | Tesco Drone Delivery |
| 6.6.9. | Matternet: transition from humanitarian remote delivery to commercial delivery in Europe? |
| 6.6.10. | Zipline: fix-wing drones making medina delivery to remote areas |
| 6.6.11. | Barriers to entry into the market |
| 6.6.12. | Market Players |
| 6.7. | Use Case: Security |
| 6.7.1. | Introduction |
| 6.7.2. | Drones in Security |
| 6.7.3. | Amazon/Ring "Always Home Cam" Drone |
| 6.7.4. | Market Players |
| 7. | FORECASTS |
| 7.1.1. | Introduction |
| 7.2. | Assumptions: Regulations and Rules |
| 7.2.1. | The difference between commercial and consumer drones |
| 7.2.2. | Regulation Approaches - high level, commercial setting |
| 7.2.3. | Comparison of Regulations - examples |
| 7.2.4. | How the regulations impact the drone industry |
| 7.3. | Overall Forecasts 2021-2031 |
| 7.3.1. | Revenue, Drones Market, 2021-2031 |
| 7.3.2. | Full forecast 2021-2031 |
| 7.4. | Hardware Forecasts 2031-2041 |
| 7.4.1. | Drone Hardware Forecasts, 2021-2031 |
| 7.4.2. | Hardware Market Split, 2021-2031 |
| 7.4.3. | Drone Hardware full breakdown |
| 7.4.4. | Drone Volume Forecast 2021-2031 |
| 7.5. | Drone Use Case Forecasts 2021-2041 |
| 7.5.1. | Use Case Forecast - 2021-2031 |
| 7.5.2. | Use Case Forecast - 2021-2031 |
| 7.5.3. | Use Case Forecast 2031-2041 |
| 7.5.4. | Use Case Forecast 2031-2041 |
| 7.5.5. | Use Case Forecast Values 2021-2041 |
| 슬라이드 | 244 |
|---|---|
| 전망 | 2041 |