Robotics Report

New Robotics and Drones 2018-2038: Technologies, Forecasts, Players

Industrial, collaborative, surgical and 3D printing robots; autonomous robotic cleaners, robotic lawn mowers, retail and security robots, agricultural robots, logistics, drones, and beyond


 
Robots are becoming uncaged, mobile, collaborative and increasingly intelligent and dexterous, moving beyond their traditional strongholds to bring automation to previously inaccessible tasks. In this report, we provide a global, comprehensive, and detailed assessment of the robotics and drones technologies and markets.
 
Our report is unique in its depth and breadth. It covers both existing as well as emerging applications. Indeed, it provides twenty-year forecasts in value and unit numbers for 46 categories, painting a comprehensive and quantitative picture of this major transformation.
 
Furthermore, this report provides detailed technology analysis, assessing the trends in performance and price of key enabling hardware and software technologies whilst considering likely technology development roadmaps. We will also profile the key companies and innovative entities working on new robotics and drones.
 
Source: IDTechEx
 
This figure shows our market forecasts for 46 categories from 2018 to 2038, covering the short, medium and long terms. The world of robotics and drones is changing. Industrial robotic arms have entered a growth supercycle thanks to the rise of automation in China. This trend- with some ups and downs- will shape the short- to medium-term future of this market. The robotic arm technology will also continue, at pace, its penetration into new markets driven by the spread of collaborative, surgical and milking robotic arms. This is however only a part of the picture. In parallel to traditional robots, a new class of robots are emerging that are collaborative, mobile and increasingly intelligent. These new robots and drones will grow in prominence in the medium-term whilst coming to dominate the market in the long-term. It is thanks to these new robots and drones- which will transform many industries ranging from agricultural to logistics to material handling to cleaning to retail and beyond- that the overall market will grow by a factor of nearly 3 and 7 in the next 10 and 20 years, respectively. Note that we have excluded passenger-carrying autonomous vehicles from our forecasts. This could arguably also be part of the greater mobile robotic market and would of course elevate the market significantly within our forecast timeframe. Note that in this report we have also taken the long (20-year) view since our technology roadmap suggests that many applications will make an impact only in the longer term. For actual values email us or consult this report.
Industrial robotic arms: Chinese demand fuels the growth supercycle
Robotic arms have come a long way since they were first introduced in 1951. Today, rows of industrial robotic arms help automate tasks and boost productivity in many industries including automotive, electronic, chemical production, food processing and so on. In this report, we first examine the different types of industrial arms, assessing the merits of DELTA, SCARA, articulated and Cartesian types.
 
We then demonstrate how the market for industrial robotic arms has evolved in the past twenty years, tracing the historical market development in annual unit numbers and value (robotic arm and total system value). Here, we look at market segmentation by application and territory.
 
We highlight the fact that the spending on robotic technologies has tended to be cyclic in the past, whilst in recent years the rise of Chinese automation demand has pushed the market into a growth super-cycle. We show that China is already the largest purchaser of robotic arms in absolute terms even though it still has a below-average robotic density. This, together with the fact that China's working population has already peaked, suggest that there is significant room for growth.
 
To develop our long-term projections, we model the future behaviour of China on the historical behaviour of Japan. Indeed, we demonstrate that the rise of automation in China since 2008 closely mirrors developments in Japan when it started to rapidly automate from 1976 onwards. We model the behaviour of the rest of world on the long-term growth patterns of the past. This enables us to develop short-, medium- and long-term projections for the market for industrial robotic arms, in unit numbers as well as in market value.
 
Collaborative robotic arms: opening the way to SMEs
Traditional robotic arms are caged, operating in robot-only zones. This is changing with the emergence of collaborative robotic arms. These are a new breed that enables various degrees of human-robot interactions. They are often smaller and slower and are equipped with various sensors such as torque sensors and soft paddings to ensure safe collaboration. These arms are also often lower priced than industrial ones. These mean that they are fast opening automation opportunities to small- to medium-sized business and are enabling numerous applications in which humans and robots collaborate.
 
In this report, we show how, following the success of early pioneers, the number of suppliers and types of collaborative arms on the market has multiplied. We then benchmark the different arms on the market in terms of price and performance, detailing degree-of-freedom, speed, weight, reach, precision, ease of programming and so on. We then highlight several key existing and emerging applications for such robotic arms before assessing the various types of collaboration, the various forms of safety measures, and the status of the legislation and standards regulating the deployment of collaborative robotic arms. Finally, we provide our short- as well as long-term market projections.
 
Surgical robots: challenging the incumbent
Surgical robotic arms are already a major success story. These robots are being deployed to enable remote-controlled surgeries, offering more stable tool movements and helping extend the useful life of surgeons. The market today is dominated by a single player making healthy margins on sales of equipment as well as services and instruments.
 
The market is however seeking to challenge this dominance whilst at the same time expanding the use of robots to new types of surgeries and spreading the market into new geographical territories. Multiple well-capitalised new companies have been formed, and some have passed various regulatory approvals. The scene is therefore set for increased market share competition as well as a rush to open new uses and territories.
 
In this report, we will consider the current and future use of surgical robotic arms. We then highlight and assess the incumbent as well as emerging players. Finally, we provide our short-term as well as long-term market forecasts.
 
New robotics: everything is changing
The world of robotics is changing. The figure shows the market share of old vs. new robotics at different time snapshots, showing how the market is set to evolve in the future: new robotics will come to represent the market majority despite continued growth of existing applications. For the purposes of constructing this figure, old or traditional robotics includes robotic arms (industrial for China and RoW, surgical, 3D printing, milking, etc), AGVs and AGCs, autonomous tractors (level 3 and 4), consumer drones, and robotic cleaners (dry/wet for home, commercial, pool, etc) and lawn mowers. New robotics cover all the other categories included in this report. See the legend of the figure below for a full listing. In the rest of this page we will describe each section in more detail.
Enabling technologies giving rise to new robotics
In this report, we will analyse the key hardware and software enabling technologies that are making the emerging new robotics commercially viable. On the hardware side, we will consider performance and cost trends in computing, memory technologies, energy storage, electric motors, cameras, MEMS, GPS, and so on.
 
We will then consider the key developments in software and artificial intelligence. In particular, we will briefly describe the importance for RoS (robotic operating system) in lowering development costs, explain the various types of deep learning and highlight key milestones/achievements of deep learning in facial recognition, text recognition and reading, translation, speech, grasping and so on. We will also explore the role of big data in enabling such progress.
 
This is a crucial chapter as it explains why new robotics is being commercialized now.
 
Robotic cleaning and lawn mowing: growing global market opportunity
Autonomous mobile robots are finding numerous applications in both indoor and outdoor environments. Indeed, as the media remains fixated on the ultimate prize of autonomous mobility on general roads, we find that autonomous robots are fast being commercialized in numerous other environments which are more structured and/or offer more clearly-defined commercial purposes straightaway.
 
Autonomous personal vacuum cleaner robots are one success story. In fact, they are not even a new technology having been around since the early 1990s and having sold well more than 20M units thus far. In this report, we will analyse the market, demonstrating that we are entering into the market proliferation and commoditization phase. The number of companies is multiplying, with many seeking to challenge the market leader's dominance in its strong territories whilst leaping across it in emerging Asian territories. New entrants are adopting low cost production whilst striking partnerships to develop global sales channels. IP blocking strategies are being deployed but these attempts will at best delay the inevitable sharing of the growing market pie by more firms.
 
In this report, we will benchmark different companies' market positioning in terms of performance (suction power, navigation technology, etc.) as well as price. We will show that despite technology maturity incremental improvements continue. In particular, more products are transitioning towards smart planned indoor navigation (vs. random movement) either using low-cost Lidars or visual SLAM, and more companies are offering connectivity in the hope of positioning the robot vacuum clear at the centre of the smart home ecosystem.
 
We will show in this report how robotic vacuum cleaning technology is evolving into new use cases. Large-sized cleaners are being offered, either as equipment or service, to commercial centres. Wet robotic cleaners are also being added to product portfolios to address needs for a wider variety of floor types. We will also profile key innovative players in home (dry and wet) and commercial vacuum cleaning and provide short- as well as long-term market projections in unit numbers and market value.
 
Finally, we will show examine non-floor robot cleaners, particularly highlighting pool and window cleaning. The latter is also a well-established market however the addressable market size is smaller. We will analyse the key companies, showing revenue growth trends in recent years and highlighting current market share standings. We will then highlight emerging market dynamics whilst providing short- as well as long-term market forecasts.
 
Lawn moving robots are also a major market opportunity. This technology is also not new with the first products having been introduced in 1995. These robots generally stay within their work space via magnetic sensing of current-carrying wires marking the boundaries. In this report, we will show how different products positions in terms of performance (coverage range, noise level, etc.) and price. We will also provide short- and long-term market forecasts.
Autonomous mobile robots arrive in commercial spaces
The use of mobile robots is not limited to home or related environments. Indeed, today many mobile robots are entering many commercial spaces. In this section of the report we will particularly focus on two emerging applications: autonomous retail and security robots.
 
In retail environments, autonomous robots are being developed to automate stock taking, enabling companies to do the task faster, cheaper and more precisely. Some companies are focusing on RFID-based approaches, positioning themselves for the apparel or similar sectors that have significantly adopted RFID tagging. Others are working to develop visual inspection, making their products more suited to environments like supermarkets.
 
In this report, we will show the status of technology development, and will identify and profile the key firms across the globe in this sector. We will analyse the market, providing short- and long-term forecasts, in unit numbers and value, that reflect our technology progression roadmaps.
 
In security environments, autonomous robots are being developed to act as autonomous eyes-and-ears. These robots are often sensor-laden, carrying multiple visual and thermal cameras, gas sensors, two-way communication systems, and so on. This is in addition to all the on-board sensors needed to ensure safe autonomous mobility.
 
In general, these robots are being designed for outdoor or indoor uses. For the latter, aesthetic design will be a differentiator whilst for the former the ruggedness and all-weather operation will be key. Note that the navigation technology will also differ: in outdoor use cases, GPS signal is available but controlled lighting conditions less so, whilst for indoor use cases, there is no GPS but instead there is a better-known and structured environment for training the robot movement.
 
The market for security provision is large. The applications are also diverse covering data centres, utility and oil/gas centres, solar farms, shopping malls, offices, other forms of commercial property, plants, and so on.
 
In this report, we will identify and profile the key players, highlighting their business model (service vs robot sale), investment levels, product positioning, and so on. We will then analyse the market, offering our assessment of the technology readiness levels whilst providing short-as well as long-term market forecasts for indoor and outdoor autonomous security robots (in units and value).
 
This figure shows the share of old vs new robotics at different time snapshots, showing how the market is set to evolve in the future. Note that we have excluded passenger-carrying autonomous vehicles from our forecasts. For more details email us or consult the report.
 
 
Agricultural robotics: rise new breeds of agricultural vehicles and intelligent implements
Today, agricultural implements predominantly perform a purely mechanical functional. There are some notable exceptions, particularly in organic farming. Here, implements are equipped with simple row-following vision technology, enabling them to actively and precisely follow rows.
 
In this report, we will show that robotic implements become highly intelligent and computerized. These will enable advanced computer vision, opening new approaches to site- (or plant-) specific ultra-precision agriculture with far reaching long-term consequences for the agrochemical industry.
 
This report will demonstrate how agriculture is already the leading adaptor of autonomous mobility technology. Here, we will analyse the evolution of autonomous mobility in agriculture, showing the incremental evolution of autonomous tractors from level three, four, and ultimately five.
 
We will then demonstrate that how the rise of unmanned mobility is giving rise to a new breed of agricultural vehicles: fleets of small unmanned, slow, and lightweight robots. These robots will be less productive on a per unit basis than traditional vehicles. The key to success however lies in remotely-controlled fleet operation which is enabled by the absence of a driver per vehicle.
 
We then assess the latest developments in robotic vegetable and fresh fruit harvesting. A limited number of fresh strawberry harvesters are already being commercially trialled, and some are transitioning into commercial mode. Progress in fruit picking in orchards has been however slower given the high technical complexity. This is however beginning to change, albeit slowly.
 
Robotics in dairy farms is already a major industry: thousands of robotic milking parlours have already been installed worldwide. This industry will continue its growth as productivity is established. Mobile robots are also already penetrating dairy farms, helping automate tasks such as feed pushing or manure cleaning. In general, this is a major robotic market to which little attention is paid.
 
In this report, we will assess the readiness levels of different agricultural robotic technologies and profile key companies and innovators in the field. We will also provide detailed short- as well as long-term market forecasts for the following 12 categories: static milking robots, mobile dairy farm robotics, autonomous agricultural small robots (data scouts, weeding and multi-platform), autonomous tractors (simple guidance, autosteer, fully unmanned autonomy), robotic implements (simple and highly intelligent), robotic vegetable harvesting, and robotic fresh fruit picking.
 
Mobile robots in warehouses and material handling
Automated guided vehicles and carts (AGVs and AGCs) have long been deployed in industrial facilities, acting as rigid distributed conveyer belts and transporting goods weighing from several kilos to multiple tons. The rigidity of their navigation technology however has always kept them as a small subset of the greater automation.
 
In this report, we will show how navigation technology is transitioning from rigid and infrastructure-dependent to autonomous and infrastructure free. We will further show how this seemingly incremental evolution will enable the rise autonomous mobile robots (AMRs), pushing them not just to increasingly replace AGVs but in time to also diffuse beyond the structured confines of warehouses and factories.
 
The rise of e-commerce is pushing the adoption of robotic technology in warehouses. In particular, grid-based goods-to-person AGVs have been a major success story, helping boost the productivity of warehouses. Here, the success and the subsequent acquisition of the pioneering firm has spawned the formation and funding of many similar firms around the globe, including in India and China. These firms offer similar grid-based AGCs for shuttling the special totes around warehouses together with the crucial fleet management software. This sector will boom in the coming years.
 
This report will show that the rise of navigational autonomy will induce a significant transfer of value from wage bills paid for human-provided driving services towards spending on autonomous forklifts. This will fuel significant growth over a business-as-usual scenario. Our technology roadmap suggests that this change will not happen overnight, however. Indeed, our model suggests that autonomous forklifts, for example, will remain a tiny share of the global addressable market until around 2023 but soon after will enter the rapid growth phase.
 
The short- and long-term forecasts in this report cover automated guided vehicles/carts; autonomous industrial forklifts, autonomous mobile carts, and autonomous mobile picking robots. Our forecasts are in unit numbers and market value.
 
Robots in the delivery chain
Last mile delivery remains an expensive affair in the parcel delivery business, often representing more than half of the total cost. Autonomous mobile robots are seeking to address this issue. Today, they are currently small slow-moving units that will need to frequently return to base to charge. They often need close supervision and can only operate in sparsely-populated and highly-structured environments such as university campuses or special neighbourhoods. They therefore are unproductive and easy to dismiss as gimmicks.
 
This is however only the beginning of the beginning. In this report we will demonstrate that the costs are falling, and the robots will emerge from their current trial and learning phase better adept at path planning and at object avoidance. The increased autonomous mobility capability and the lower cost will in turn enable a lower operator-to-fleet-size ratio, furthering boosting overall fleet productivity. Here, as with many other mobile robots, it is the fleet (vs individual unit) productivity that matters.
 
In this report, we will cover key firms working on commercializing last mile delivery robots (either as service or robot). We will then produce short- and long-term market forecasts, clearly explaining the different phases of evolution from trial/early commercial sales toward rapid market penetration and finally towards maturity and then revenue decline.
 
Robots and autonomous mobility are also impacting other steps of the delivery chain. In our report we will also consider the current progress and the future of autonomous long-haul trucks as well as light delivery vans.
 
Overall, this report provides short- as well as long-term forecasts, in unit numbers and value, for last mile delivery robots, autonomous trucks (level 3 to 5), and light delivery vans (levels 3 to 5).
 
Drones: what next after the recent commoditization?
Drones, until just a few years ago, were synonymous with military UAVs. These were large gasoline powered entities capable of running surveillance missions and firing weapons. This has all changed since 2012 onwards. Now we consider drones as essentially flying cameras in the hands of consumers. This too is changing as prosumer and professional drones are born out of consumer ones.
 
In our report, we will show that the drone hardware platform market has in recent years become highly commoditized due to aggressive pricing strategies that have prioritized market share over margin. The falling prices have forced many competitors to announce major lay-offs, exit or re-focus. Despite this, many are still vying to be the number two.
 
The trend has introduced a major change in the investment trends. In our report, we will show that investment, as well as company formation trends, peaked at 2015. More importantly, we will show that the focus of the investment has shifted from hardware to non-hardware aspects.
 
Indeed, the hardware platform commoditization on the consumer end has caused the market to focus on the software, analytics and enterprise segments.
 
We will provide detailed profiles of the key hardware and software firms working on drones and related components. We will benchmark the price and performance (battery size, range, size, etc.) for drones covering the spectrum from toys to professional drones.
 
The report also provides detailed year-on-year investment figures, segmenting it by hardware vs. non-hardware. We will focus on key emerging software trends and opportunities and highlight specialized hardware opportunities such as sensors. It then considers the evolution of the legislation whilst highlight some trends towards BVLS autonomous mobility.
 
In our application assessment, we focus on two major emerging commercial use cases: agricultural and logistics/delivery. Finally, we provide short- as well as long-term market forecasts covering consumer as well as professional drones.
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Table of Contents
1.INTRODUCTION
1.1.Robotic arms: past, present and future
1.2.New Robotics: Everything is Changing
1.3.The scope of the report
1.4.Summary of all 46 twenty-year market forecasts
1.5.The big picture: the evolution and changing charter of the robotic industry
1.6.The big picture: mobile vs stationary robot markets (a long term quantitative view)
1.7.The big picture: old robotic vs new robotics (a long term quantitative view)
1.8.2018-2038 market forecasts for industrial robotic arms globally segmented by China vs RoW
1.9.2018-2038 market forecasts for collaborative robotic arms (market value)
1.10.2018-2038 market forecasts for surgical robotics (systems plus instruments)
1.11.2018-2038 market forecasts for 3D printing equipment (professional and personal)
1.12.2018-2038 market forecasts for robotic cleaning (home dry cleaning, wet cleaning, pool cleaning, commercial cleaning)
1.13.2018-2038 market forecasts for autonomous lawn mowers
1.14.2018-2038 market forecasts for autonomous mobile retail robots in value and unit numbers
1.15.2018-2038 market forecasts for autonomous mobile security robots in value and unit numbers
1.16.2018-2038 market forecasts for agricultural robots and drones segmented by 16 technologies
1.17.2018-2038 forecasts for mobile robots in material handling
1.18.2018-2038 forecasts for level-4 and level-5 autonomous trucks
1.19.2018-2038 forecasts for last mile delivery ground robots (droids) and drones
1.20.2018-2038 forecasts for drones (personal and commercial)
2.INDUSTRIAL ROBOTIC ARMS
2.1.Then and now of industrial robotic arms: they have come a long way
2.2.Types of industrial robotic arms: Cartesian, SCARA, DELTA and Articulated
2.3.Cartesian Robots: Description and assessment (SWOT)
2.4.SCARA Robotic Arms: Description and assessment (SWOT)
2.5.Articulated Robotic Arms: Description and assessment (SWOT)
2.6.Delta Robotic Arms: Description and assessment (SWOT)
2.7.Examples of industrial robot applications (automotive)
2.8.Examples of industrial robot applications (assembly)
2.9.Examples of industrial robot applications (food packing)
2.10.Examples of industrial robot applications (packing)
2.11.Examples of industrial robot applications (electronics)
2.12.Examples of industrial robot applications (material handling)
3.PROFILES OF MAJOR INDUSTRIAL ROBOTIC ARM SUPPLIERS
3.1.Yaskawa Motoman Robotics
3.2.Fanuc
3.3.ABB
3.4.KUKA
3.5.Kawasaki Robotics
3.6.Mitsubishi Robotics
4.THE CURRENT STATE OF THE INDUSTRIAL ROBOTIC MARKET AND ITS OUTLOOK
4.1.Industrial robots: market evolution in numbers
4.2.Sales of industrial robotic arms in units from 1992 to present
4.3.Accumulated installed base of robots from 1973 to now
4.4.Sales of industrial robotic arms in market value from 2007 to present, segmented by robot and robotic system
4.5.Annual unit sales of industrial robotic arms from 2010 to now segmented by application
4.6.Annual sales (value) of industrial robotic arms from 2010 to now segmented by applications
4.7.Sales of industrial robots from 1994 to now segmented by territory
4.8.Sales of industrial robots from 2006 to now segmented by country
4.9.Robot density by country as a benchmark for how far China will keep rising in annual robot purchases
4.10.Comparing the rise of automation in China with Japan
4.11.How far will China go: Modelling the long-term behaviour of industrial robot sales in China
4.12.So how far can China go if it behaves like Japan?
4.13.Ageing and demography: megatrends affecting automation in Japan and China
4.14.China creates its own local robot supply chain?
4.15.2018-2038 market forecasts for industrial robotic arms globally segmented by China vs RoW
5.COLLABORATIVE ROBOTIC ARMS: ROBOTS PENETRATE EVERYDAY WORKSPACES
5.1.The rise of 'collaborative' robotic arms: filling a market gap
5.2.Spacing sharing and safeguarding: traditional vs collaborative
5.3.Degrees of collaboration: spatial and/or temporal separation
5.4.Typical performance and cost characteristics of collaborative robotic arms
5.5.Collaborative robotic arm suppliers multiply: Examples of 10+ collaborative arms on the market
5.6.Benchmarking of 25+ collaborative robots on the basis of DoF, payload, weight, repeatability, reach, price and ease of programming
5.7.Examples of collaborative arm applications
5.8.Relevant legislation and standards for safety of collaborative robotic arms
5.9.General approaches for ensuring safety in collaborative robotic arms
5.10.Limiting force and power: estimates of biomechanical limits affecting speed and mass
5.11.2018-2038 market forecasts for collaborative robotic arms( market value)
5.12.Robotic assisted surgery: a growing commercial success story
5.13.Worldwide procedure trend using robots: Increasing traction worldwide
5.14.The market pioneer and leader: Intuitive Surgical
5.15.Direct challenger emerging to threaten the market leader in robotic surgery (TransEnterix)?
5.16.Direct challenger emerging to threaten the market leader in robotic surgery (Titan Medical)?
5.17.Digital and remote robotic control of catheter (Hansen Medical, Stereotaxis, CORINDUS VASCULAR ROBOTICS, Zimmer-Biomet, etc.)
5.18.Robotic assisted orthopaedic MI surgery?
5.19.Access to where previously not possible using snake-like robots?
5.20.Current market size for surgical robotics by player
5.21.2018-2038 market forecasts for surgical robotics (systems plus instruments)
6.WHAT IS THE EMERGING 'NEW' ROBOTICS?
6.1.New Robotics: Everything is Changing
6.2.Autonomous mobility is more diverse than just general driving on public roads
6.3.Autonomous mobile robots find many uses in highly to semi-structured environments
6.4.Mobile robots: UAVs
6.5.Mobile robots: AUVs
7.WHY IS NEW ROBOTICS BECOMING POSSIBLE NOW? A HARDWARE POINT OF VIEW
7.1.Why is new robotics becoming possible now? A hardware point of view
7.2.Why is new robotics possible now?
7.3.Transistors (computing): price evolution
7.4.Transistors (computing): performance evolution
7.5.Memory (RAM, hard driver and flash): price evolution in $/Mbit
7.6.Memory: performance evolution in Gbit/ sq inch
7.7.Sensors (Camera): price evolution
7.8.Sensors (MEMS): price evolution
7.9.Sensors (GPS): price and market adoption (in unit numbers) evolution of GPS sensors
7.10.Is Lidar on a similar path as other robotic sensor technologies?
7.11.Li ion battery: performance evolution in Wh/Kg and Wh/L
7.12.Energy storage technologies: price evolution in $/kWh by sector
7.13.Electric motors: evolution of size of a given output since 1910
8.WHY IS NEW ROBOTICS BECOMING POSSIBLE NOW? A SOFTWARE OR ALGORITHM POINT OF VIEW
8.1.Artificial intelligence: waves of development
8.2.Terminologies explained: AI, machine learning, artificial neural networks, deep neural networks
8.3.Rising interest in deep learning
8.4.Algorithm training process in a single layer
8.5.Towards deep learning by deepening the neutral network
8.6.The main varieties of deep learning approaches explained
8.7.The rise of the big data quantified: fuel for deep learning applications
8.8.Examples of milestones in deep learning AI: word recognition surpasses human level
8.9.Examples of milestones in deep learning AI: image recognition surpasses human level
8.10.Deepening the neutral network to increase accuracy rate
8.11.GPUs: an enabling component for deep learning?
8.12.Examples of milestones in deep learning AI: translation approaching human level performance
8.13.Examples of milestones in deep learning AI: leap in progress in robotic grasping
8.14.What is 'good enough' accuracy in deep learning?
8.15.RoS and RoS-I: major open source movement slashing development costs and enticing OEMs to finally engage
8.16.Robotic Operating System (RoS): Examples of cutting edge projects
8.17.Autonomous personal vacuum cleaners enter the commoditization phase
8.18.Market segmentation by spec (performance, navigation, etc.)
8.19.Market segmentation by price
8.20.iRobot: can it retain its market dominance and high gross margin?
8.21.Neato: innovative LIDAR made it unique, but is that enough?
8.22.Robotic vacuum cleaners (Xiaomi and Maidbot )
8.23.Robotic vacuum cleaners (Dyson and Samsung)
8.24.Other robotic vacuum cleaners
8.25.Market share by company in robotic vacuum cleaning
8.26.Examples of autonomous wet cleaner for commercial spaces from Japan: CXS Corp and Amano
8.27.Examples of autonomous wet cleaner for commercial spaces (avidbot, Intellibot)
8.28.Robotic pool cleaning: introduction
8.29.Robotic pool cleaning: product ranges
8.30.Robotic pool cleaning: Maytronics
8.31.Robotic pool cleaning: other key players
8.32.Robotic window cleaning
8.33.2018-2038 market forecasts for robotic cleaning (home, dry cleaning, wet cleaning, pool cleaning, commercial cleaning)
8.34.2018-2038 market forecasts in value for dry and wet robotic cleaners (small sized)
8.35.2018-2038 market forecasts in unit numbers for dry and wet robotic cleaners (small sized)
8.36.2018-2038 market forecasts for robotic cleaning (robotic pool cleaning)
8.37.2018-2038 market forecasts for robotic cleaning (large sized commercial cleaning)
8.38.Autonomous robotic lawn mower: significant market diffusion into new markets?
8.39.Robotic lawn mowers: price and performance trends
8.40.Examples of robotic lawn mowers
8.41.2018-2038 market forecasts for autonomous lawn mowers
8.42.Robots in Retail
8.43.Stock Level Monitoring with RFID Enabled Robots
8.44.Bossa Nova: pulling ahead of others to roll into the retail sector
8.45.Fellow Robots: gaining a foothold with major retailers
8.46.Simbe Robotics: going for the lowest cost autonomous robot for retailers?
8.47.Metra Robotics: already selling robots mostly into the apparel market
8.48.Pal Robotics: RFID based robotic stock taking for apparel stores?
8.49.Other autonomous robots for apparel retail (4D Retail Technologies and RFSpot)
8.50.Other autonomous robots for apparel retail (Keonn Technologies)
8.51.2018-2038 market forecasts for autonomous mobile retail robots in value and unit numbers
8.52.Autonomous security guards: a large addressable market
8.53.Knightscope: so far the best funded and most experienced autonomous security robot company?
8.54.Autonomous security robot companies (Cobalt Robotics and Seqsense)
8.55.Autonomous security robot companies (SAM and Gamma to Robotics)
8.56.Sharp: Major experienced player offering outdoor autonomous security robots
8.57.Autonomous security robot companies (NXP Robotics and SMP Robotics)
8.58.2018-2038 market forecasts for autonomous mobile security robots in value and unit numbers
9.FOCUSED ANALYSIS: AGRICULTURAL ROBOTS
9.1.Growing population and growing demand for food
9.2.Major crop yields are plateauing
9.3.Employment in agriculture
9.4.Towards ultra precision agriculture via the variable rate technology route
9.5.Market and technology readiness by agricultural activity
9.6.Technology progression towards driverless autonomous large-sized tractors
9.7.Master-slave or follow-me large autonomous tractors
9.8.Fully autonomous driverless large tractors
9.9.Fully autonomous unmanned tractors
9.10.Autonomous small-sized agricultural robots
9.11.FENDT (AGCO) launches swarms of autonomous agrobots
9.12.Autonomous agricultural robots (EarthSense, Adigo, Kongskilde)
9.13.Autonomous agricultural robots (QUT, ACFR and RowBot)
9.14.From manned, broadcast towards autonomous, ultra precision de-weeding
9.15.Technology progression towards autonomous, ultra precision de-weeding
9.16.Autonomous weed killing robots
9.17.Robotic mechanical weeding for organic farming
9.18.Autonomous lettuce thinning robots
9.19.Machines aiding humans in fresh fruit harvesting have not evolved in the past 50 years
9.20.Technology and progress roadmap for robotic fresh fruit harvesting
9.21.Robotic fresh apple harvesting
9.22.Evolution of fresh strawberry harvesting robots
9.23.Autonomous robotic vineyard scouts and pruners
9.24.Autonomous robotics for greenhouses and nurseries
9.25.Robotic milking parlours
9.26.Autonomous robotic feed pushers
9.27.20-year market forecasts (2018-2038) for agricultural robots and drones segmented by 16 technologies
10.FOCUSED ANALYSIS: AUTONOMOUS MOBILITY IN FACTORIES AND WAREHOUSES
10.1.Different types of automated/autonomous mobile units
10.2.Automated Guide Vehicles & Carts (AGV/Cs)
10.3.Grid-based automated guided carts (AGC)
10.4.Autonomous Mobile Robots(AMRs)
10.5.Transition to AGVs and AMRs
10.6.How mobile robots find their way into indoor semi-structured spaces
10.7.Technology evolution towards fully autonomous independent mobile robots
10.8.AGVs vs. AMRs: an assessment and comparison
10.9.AGCs (KIVA-like systems) vs. AMRs: an assessment and comparison
10.10.Partnership with a forklift company creates a competitive advantage (why and how)
10.11.Hardware and software automation kit, components and trends
10.12.Number of robotic companies in logistics mushrooms
10.13.Mobile robotics companies in the context of logistic and material handling automation
10.14.California emerges as a hotspot of AMR start-ups
10.15.Investment in logistics/warehouse mobile robotics heats up (2005-2017 statistics)
10.16.Kiva: the major success story whose acquisition left a massive market gap
10.17.Examples of goods-to-person grid-based AGCs (Geek+, Flashold, Grey Orange, etc.)
10.18.SeeGrid: high-load flexible autonomous industrial trucks based on stereo vision
10.19.Examples of logistics autonomous mobile robots (Swisslog, Knapp, Omron)
10.20.Examples of logistics autonomous mobile robots (MiR, Ottomotors, Fetch Robotics, etc.)
10.21.Examples of logistics autonomous mobile robots (Exotec, Hitachi, 6 River System, etc.)
10.22.Two transitions in robotic picking?
10.23.Learning to pick/grasp
10.24.Commercial examples of mobile robotic picking firms
10.25.2018-2038 forecasts for mobile robots in material handling
11.AUTONOMOUS TRUCKING?
11.1.Do autonomous trucks make sense?
11.2.Autonomising trucking
11.3.Platooning
11.4.Market forecasts for level-4 and level-5 autonomous light vans: a 20-year view in unit numbers
11.5.Market forecasts for level-4 and level-5 autonomous light vans: a 20-year view in market value
12.AUTONOMOUS DELIVERY DROIDS?
12.1.Last mile delivery: why motivates the robotic companies
12.2.Last mile delivery: large market being technologically disrupted?
12.3.Market and technology readiness levels of different technologies seeking to impact last mile delivery
12.4.Last mile delivery droids (Starship, Marble, Dispatch)
12.5.Examples of logistics autonomous mobile robots (Marathon Technologies, SideWalk, Alibaba)
12.6.Examples of logistics autonomous mobile robots (TwinWheel, JD, Teleretail)
12.7.Market forecasts for ground-based delivery driods: a 20-year analysis in unit numbers and dollars
13.DRONES: WITH A FOCUS ON AGRICULTURE AND DELIVERY
13.1.Our focus is on the consumer, prosumer and professional drones
13.2.Drones: dominant designs begin to emerge
13.3.Drones: company formation slows down
13.4.Drones: global geographical spread of companies
13.5.Consumer/prosumer drone sales boomed from 2012/2013 (infection point)
13.6.Drones: market forecasts
13.7.Drones: DJI's aggressive low-margin strategy commoditizes the hardware game
13.8.Drone commoditization: price wars lead to consolidation
13.9.Drone commoditization forces a pivot towards software and/or commercial?
13.10.Range of drones on the market by price
13.11.Range of drones by diagonal size
13.12.Drones: application pipeline
13.13.Battery life remains a limitation for commercial operation
13.14.Niche hardware opportunities in the commercial sector
13.15.Drones commoditize: the shift towards software and vertically-focused analytics
13.16.Software opportunities: Vertical focused actionable analytics
13.17.Examples of vertically-focused data services
13.18.Drones: increasing autonomy
13.19.Hardware opportunity: specialized sensors
13.20.2018-2038 forecasts for drones (personal and commercial)
13.21.Satellite vs. plane vs drone mapping and scouting
13.22.Benefits of using aerial imaging in farming
13.23.Agricultural robotics and ultra precision agriculture will cause upheaval in agricultures value chain
13.24.Agriculture is one the last major industries to digitize: a look at investment in data analytics/management firms
13.25.Unmanned agriculture drones on the market
13.26.Comparing different agricultural drones on the market
13.27.Regulation barriers coming down?
13.28.Agricultural drones: the emerging value chain
13.29.Unmanned drones in rice field pest control in Japan
13.30.Unmanned drones and helicopters for field spraying
13.31.New breed of drone sprayers emerge
13.32.2018-2038 market forecasts: agricultural drones become multi-purpose and data services capture more value
13.33.Why drone-based last mile delivery?
13.34.What different companies think about drone-based delivery?
13.35.Trends in charts: rise of e-commerce, fall of department stores, and accelerated closure of commercial real estates
13.36.Development timeline of drone use in last mile or remote area delivery
13.37.Amazon: Will it make drones as common as mail trucks in the future?
13.38.Matternet: transition from humanitarian remote delivery to commercial delivery in Europe?
13.39.Zipline: fix-wing drones making medina delivery to remote areas
13.40.2018-2038 forecasts for drone delivery in unit numbers and market value
14.DETAILED DRONE COMPANY PROFILES
14.1.DJI: the undisputed leader in consumer drones also pivots towards the enterprise market?
14.1.1.DJI: product portfolio diversifies
14.1.2.The rise of DJI to over one billion sales
14.1.3.DJI: IDTechEx assessment
14.2.Yuneec pivots back to UAV seeking to be the best alternative supplier?
14.2.1.Yuneec: product portfolio
14.2.2.Yuneec: IDTechEx assessment
14.3.3D Robotics: giving up the hardware game to focus on software
14.3.1.3D Robotics: investors continue to show trust?
14.3.2.3D Robotics: IDTechEx assessment
14.4.Parrot: re-focusing onto the commercial sector
14.4.1.Parrot: prosumer range born from its consumer drones
14.4.2.Parrot revenue rise and fall tells the story of the drone market
14.4.3.Parrot: positioning for future growth with acquisitions and equity investments?
14.4.4.Parrot: IDTechEx assessment
14.5.Airware: modularizing and streamlining the software side
14.5.1.Airware modules
14.5.2.Airware: IDTechEx assessment
14.6.Aeryon Lab: transiting from rugged all-weather drones to vertically-focused end-to-end solutions
14.6.1.Aeryon military grade products servicing commercial activities
14.6.2.Aeryon Labs: IDTechEx assessment
14.7.DelairTech: a company servicing with fixed-wing drones
14.7.1.DelairTech's small but increasing Turnover
14.7.2.Delair-Tech: IDTechEx assessment
14.8.Skydio: Artificial intelligence powered drones
14.9.Precision Hawk: A leader in agricultural Data analytics
14.9.1.Precision Hawk: IDTechEx assessment
14.10.Swift Navigation: Centimeter level accurate
14.10.1.Swift Navigation: IDTechEx assessment
14.11.Skycatch: Aimed to give subscription to enterprises
14.11.1.Skycatch: IDTechEx assessment
14.12.Dedrone: protection against Drones
14.12.1.Dedrone: IDTechEx assessment
14.13.Ehang: newcomer but strong
14.13.1.Ehang product portfolio
14.13.2.Ehang to bring an autonomous people carrying drone
14.13.3.Ehnag: IDTechEx assessment
14.14.Autel: trying to differentiate to survive
14.14.1.Autel Robotics quadcopters: as good as bests but much less fanfare
14.14.2.Autel Robotics' fixed-wing solution for commercial
14.14.3.Autel Robotics: IDTechEx assessment

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