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Last Updated: Apr 25, 2025 | Study Period: 2023-2030
Beam is a robotic telepresence device that can "teleport" you to a distant area where you can move around and engage with locals.
With its wide display and simple controls, face-to-face or screen-to-face communication is enhanced. The letters B.E.A.M. stand for biology, electronics, art, and mechanics.
It differs from most other robot construction methods because it stresses a computer-free, simplistic method based on neural systems resembling those of insects.
Beam structures with overhanging, fixed, trussed, continuous, and simply supported beams are the most prevalent.
In order to create an unusually basic design, BEAM robotics largely uses straightforward analogue circuits, such as comparators, as opposed to microprocessors.
BEAM robotics can be reliable and effective in carrying out the task for which it was created, while not being as adaptable as microprocessor-based robotics.
A set of analogue circuits that resemble real neurons may be used by BEAM robots to help them respond to their working environment.
The global BEAM robots market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
The "first fully autonomous mobile robot" from Amazon is designed to transport huge carts throughout its warehouses.
Proteus is the name of the robot, and according to Amazon, it can safely manoeuvre around human employees, in contrast to some of its earlier robots that it kept segregated in a caged area.
The Proteus robots, according to Amazon, have "superior safety, vision, and navigation technologies," and a (weirdly silent) video shows the robots moving around while displaying a green light in front of themselves.
The robot stops moving when a person enters the beam and resumes when the person steps out of the way. Several further robotic systems have also been announced by the company.
One is a robotic arm named Cardinal that can lift and transport items, and Amazon plans to utilise it in warehouses the next year.
The business claims that it can pick out and lift certain parcels even when they are piled up thanks to computer vision systems.
| Sl no | Topic |
| 1 | Market Segmentation |
| 2 | Scope of the report |
| 3 | Abbreviations |
| 4 | Research Methodology |
| 5 | Executive Summary |
| 6 | Introduction |
| 7 | Insights from Industry stakeholders |
| 8 | Cost breakdown of Product by sub-components and average profit margin |
| 9 | Disruptive innovation in the Industry |
| 10 | Technology trends in the Industry |
| 11 | Consumer trends in the industry |
| 12 | Recent Production Milestones |
| 13 | Component Manufacturing in US, EU and China |
| 14 | COVID-19 impact on overall market |
| 15 | COVID-19 impact on Production of components |
| 16 | COVID-19 impact on Point of sale |
| 17 | Market Segmentation, Dynamics and Forecast by Geography, 2023-2030 |
| 18 | Market Segmentation, Dynamics and Forecast by Product Type, 2023-2030 |
| 19 | Market Segmentation, Dynamics and Forecast by Application, 2023-2030 |
| 20 | Market Segmentation, Dynamics and Forecast by End use, 2023-2030 |
| 21 | Product installation rate by OEM, 2023 |
| 22 | Incline/Decline in Average B-2-B selling price in past 5 years |
| 23 | Competition from substitute products |
| 24 | Gross margin and average profitability of suppliers |
| 25 | New product development in past 12 months |
| 26 | M&A in past 12 months |
| 27 | Growth strategy of leading players |
| 28 | Market share of vendors, 2023 |
| 29 | Company Profiles |
| 30 | Unmet needs and opportunity for new suppliers |
| 31 | Conclusion |
| 32 | Appendix |
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