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1. | EXECUTIVE SUMMARY |
1.1. | The big picture |
1.2. | Report scope (overview) |
1.3. | Report scope (details) |
1.4. | Report structure (with hyper-links) |
1.5. | Market and technology readiness by warehouse/logistics robotic activity |
1.6. | All twenty-year market forecasts segmented by category: AGVs, AGCs, autonomous mobile robots/carts, mobile picking robots, last mile delivery robots, delivery drones, autonomous trucks (level 4&5), and autonomous light delivery va |
1.7. | 20-year market forecasts for mobile robots in material handling covering mobile picking robots, autonomous mobile industrial vehicles, autonomous mobile cars, automated guided cards and automated guided vehicles |
1.8. | 20-year market forecasts for last mile delivery ground robots (droids) and drones |
1.9. | 20-year forecasts for level-4 and level-5 autonomous trucks |
2. | MOBILE ROBOTS IN MATERIAL HANDLING AUTOMATION |
2.1. | Different types of automated/autonomous mobile units |
2.2. | Automated Guide Vehicles & Carts (AGV/Cs) |
2.3. | Grid-based automated guided carts (AGC) |
2.4. | Autonomous Mobile Robots(AMRs) |
2.5. | Transition to AGVs and AMRs |
2.6. | How mobile robots find their way into indoor semi-structured spaces |
2.7. | Technology evolution towards fully autonomous independent mobile robots |
2.8. | AGVs vs. AMRs: an assessment and comparison |
2.9. | AGCs (KIVA-like systems) vs. AMRs: an assessment and comparison |
2.10. | Robotics as a service, just robot sales, or both? |
2.11. | Partnership with a forklift company creates a competitive advantage (why and how) |
2.12. | Hardware and software automation kit, components and trends |
2.13. | Employment figures as material handling operators and truck drivers |
2.14. | Total global addressable markets for 'driving services' in select commercial and industrial vehicles |
2.15. | The forklift market: historic unit sales, and segmentation by forklift type and end-use industry |
2.16. | Top 20 forklift suppliers' revenues |
2.17. | Sales of top 20 material handling automation companies |
2.18. | Rise of e-commerce seen in charts |
2.19. | Number of robotic companies in logistics mushrooms |
2.20. | Mobile robotics companies in the context of logistic and material handling automation |
2.21. | California emerges as a hotspot of AMR start-ups |
2.22. | Investment in logistics/warehouse mobile robotics heats up (2005-2017 statistics) |
2.23. | Existing AGV market projects by third parties: missing the mark |
2.24. | Market forecast for AGVs, AGCs, AMVs and AMCs in market value: a 20-year view in which AMV/Cs rise whilst AGVs go obsolete? |
2.25. | Market forecast for AGVs, AGCs, AMVs and AMCs in unit numbers: a 20-year view in which AMV/Cs rise whilst AGVs go obsolete? |
2.26. | The rise of autonomous forklifts fuelling rapid growth: a 20-year view |
2.27. | The rise of autonomous forklifts: 20-year market forecasts where equipment suppliers capture the value of driving services? |
2.28. | Market projections: future cost evolutions for autonomous vs automated vs manual systems |
3. | EXAMPLES OF AGVS AND AGCS |
3.1. | Traditional AGV/C suppliers and examples |
3.2. | Traditional AGV/C suppliers |
3.3. | Traditional AGV/C suppliers |
3.4. | Transbotics |
3.5. | Toyota: major player in AGCs? |
3.6. | Dematic: now the biggest AGV company after acquisition by Kion Group? |
3.7. | BA Systems: an established European AGV supplier |
3.8. | ASTI |
4. | EXAMPLES OF GRID-BASED AGCS |
4.1. | Kiva: the major success story whose acquisition left a massive market gap |
4.2. | Geek+: Chinese response to Kiva's success? |
4.3. | Flashhold: the best funded Chinese warehouse mobile robot? |
4.4. | Grey Orange: India's largest robotics company? |
4.5. | Scallog: A French take on the Kiva approach? |
5. | EXAMPLES OF AMVS INCLUDING HIGH PAYLOAD |
5.1. | SeeGrid: high-load flexible autonomous industrial trucks based on stereo vision |
5.2. | Balyo: high-load flexible autonomous industrial trucks |
5.3. | Vecna Technologies: offering full spectrum of robotic solutions as no solution fits all in warehouse automation? |
5.4. | RoboCV: converting standard forklifts into autonomous ones |
5.5. | Kollmorgen: autonomous navigation kit to convert existing vehicles? |
6. | EXAMPLES OF AMCS |
6.1. | Swisslog (Kuka): a pivot towards logistics with a high payload AGC? |
6.2. | Knapp: Flexible independent transport shuttle robot |
6.3. | Omron Adept Mobile Robotics |
6.4. | Mobile Industrial Robots: A flexible autonomous mobile robotic transporter |
6.5. | Locus Robotics: a mobile robot in response to the shortcomings of KIVA? |
6.6. | Otto Motors: autonomous driverless warehouse robots |
6.7. | Fetch Robotics: well-funded CA start-up focused on mobile robots in warehouses |
6.8. | 6 River System Inc: a mobile co-working robot that guides the human picker? |
6.9. | InclubedIT: Austrian software licensor? |
6.10. | Exotec Solutions: small light-weight mobile transporter robot for small warehouse operators? |
6.11. | Hitachi: Transitioning grid-based AGVs towards AMRs? |
6.12. | CTRLWORKS: small autonomous mobile robotic carrier platform |
6.13. | Hstar Technologies: agile mobile platforms for logistics |
6.14. | Symbotic: mobile robots to maximising space utilization in vertical warehouses? |
6.15. | Neobotix: A German specialist player? |
6.16. | Anronaut GmbH |
7. | AUTONOMOUS MOBILE PICKING ROBOTS |
7.1. | Shift in algorithms from deterministic to perception-driven open ups robotic picking |
7.2. | Stanford: novel object grasping using supervised learning by synthetic data |
7.3. | Berkley: cloud robotics to estimate grasp pose |
7.4. | Cornell: rapid deep-learning based approach for grasping |
7.5. | Google: large-scale data collection with deep learning for object grasping |
7.6. | Berkeley: multi-fingered robotic picker trained using virtual data |
7.7. | Right Hand Robotics: using the cloud to train the hand |
7.8. | Soft robotics: an instruction-free game changing hardware solution to grasping irregular objects that alleviate the grasping intelligence challenge? |
7.9. | Soft robotics gripper technologies |
7.10. | Further examples of soft robotic based gripper technologies |
7.11. | Further examples of soft robotic based gripper technologies |
7.12. | From stationary to mobile robotic picking |
7.13. | Mobile robotic picking market forecasts for regular- and irregular-shaped objects (unit numbers) |
7.14. | Mobile robotic picking market forecasts for regular- and irregular-shaped objects (market value) |
8. | EXAMPLES OF AUTONOMOUS MOBILE PICKING ROBOTIC COMPANIES |
8.1. | InVia Robotics: a monthly subscription model for mobile robotic picking |
8.2. | IAM Robotics |
8.3. | Magazanio: implementing perception-driven algorithms to enable mobile picking? |
8.4. | Servus: a simple picking robotic shuttle? |
8.5. | Plus One Robotics: When will it emerge from its total stealth mode? |
9. | AUTONOMOUS TRUCKING |
9.1. | The economic case for autonomous trucks |
9.2. | Automation levels in trucking explained |
9.3. | Uber acquiring Otto sets the scene on fire? |
9.4. | Embark: Hybrid approach for autonomous truck driving on highways |
9.5. | Starsky Robotics: retrofitting existing trucks and making them remote-controlled |
9.6. | Baidu: becoming the Android of autonomous vehicles |
9.7. | TuSimple: Chinese Al provider for level-4 autonomous trucks |
9.8. | Pelton: V2V links to enable closer platooning |
9.9. | Market forecasts for autonomous trucking: a 20-year view for level-4 and level-5 automation (market share as % total truck unit sales) |
9.10. | Ten-year and twenty-year component-segmented price projections for hardware for autonomous mobility |
9.11. | Historical price evolution for cameras, primary/secondary memory, computing and photovoltaics |
9.12. | Market forecasts for autonomous trucking: a 20-year view for level-4 and level-5 automation (in unit numbers and dollars) |
9.13. | Market forecasts for autonomous trucking: a 20-year view for the value of automation hardware/components |
10. | AUTONOMOUS LAST MILE DROID DELIVERY (GROUND BASED) |
10.1. | Last mile delivery: why motivates the robotic companies |
10.2. | Last mile delivery: large market being technologically disrupted? |
10.3. | Market and technology readiness levels of different technologies seeking to impact last mile delivery |
10.4. | Starship Technologies: strongly-funded last-mile delivery robot? |
10.5. | Marble: last-mile delivery robot for more crowded neighbourhoods? |
10.6. | Dispatch: last mile delivery starting in San Francisco? |
10.7. | Marathon Technologies: Last mile pizza delivery demonstrated |
10.8. | SideWalk Delivery: Pivoting towards a mobile vending machine? |
10.9. | Alibaba: the e-commerce giant developing its own last-mile mobile robot? |
10.10. | TwinsWheel: fast last-mile delivery robot or a gimmick? |
10.11. | DJ: foraying into last mile delivery robots with large droids? |
10.12. | Teleretail: targeting rural delivery with long-rage last mile delivery robots? |
10.13. | Piaggio: autonomous load-carrying follow-me robot? |
10.14. | Analysis: cost competitiveness of droids a function of unit cost and fleet size |
10.15. | Parcel market forecasts (2013 to 20028 data) segmented by region in value with value of last mile delivery demonstrated |
10.16. | Estimated global wage bill spent on human-provided driving services in the delivery sector |
10.17. | How warehouse infrastructures goes de-centralized to adapt to e-commerce needs? |
10.18. | Total addressable market for ground-based delivery: 20-year forecasts in unit numbers and dollars |
10.19. | Market forecasts for ground-based delivery droids: a 20-year analysis in unit numbers and dollars |
10.20. | Schematically visualization of the delivery process |
10.21. | Oxbotica & Ocado test autonomous light deliver vans |
10.22. | Market forecasts for level-4 and level-5 autonomous light vans: a 20-year view in unit numbers |
10.23. | Market forecasts for level-4 and level-5 autonomous light vans: a 20-year view in market value |
11. | AUTONOMOUS LAST MILE DRONE DELIVERY (AIR BASED) |
11.1. | Why drone-based last mile delivery? |
11.2. | What different companies think about drone-based delivery? |
11.3. | Trends in charts: rise of e-commerce, fall of department stores, and accelerated closure of commercial real estates |
11.4. | Drones: dominant designs begin to emerge |
11.5. | Drones: moving past the hype? Investment data from 2010 to 2016 |
11.6. | Drones: platforms commoditize? |
11.7. | Drones: platforms commoditize? |
11.8. | Drones: market forecasts |
11.9. | IDTechEx Market Forecasts |
11.10. | Drones: application pipeline and hype curve |
11.11. | Software opportunities: Vertical focused actionable analytics |
11.12. | Software opportunities: Vertical focused actionable analytics |
11.13. | Drones: increasing autonomy |
11.14. | Hardware opportunity: specialized sensors |
11.15. | Hardware opportunity: specialized sensors |
11.16. | Development timeline of drone use in last mile or remote area delivery |
11.17. | Amazon: Will it make drones as common as mail trucks in the future? |
11.18. | Matternet: transition from humanitarian remote delivery to commercial delivery in Europe? |
11.19. | Zipline: fix-wing drones making medina delivery to remote areas |
11.20. | Drone delivery: 20-year market forecast for the rise of UAVs in unit numbers and market value |
Slides | 163 |
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Forecasts to | 2038 |