Overview:
Modular robotic systems are self-configurable modular robots or self-configuring robotic units that can reconfigure themselves to adapt to the changing environment. These robots are capable of performing different functions or roles such as designing, controlling, fabricating and motion controlling on the basis of their different shapes.
Modular robotics uses 3D patterned lattice architecture for assembling various components of the robot. The parts keep in connection by transmitting electrical and mechanical power. While performing operations if any part or module gets damaged, these robots can discard the damaged part and replace it with a new identical one and continue with the further operations. The self-healing capabilities of modular robotics provides a critical functionality for real-world applications like welding, drilling, pick and drop, etc. in industries including automation, electronics, machinery and metals.
Modular robotics provides speed and accuracy in the manufacturing and production processes. It helps in increasing the production volume, which thereby helps in meeting the market demand with great precision, flexibility and agility. High demand of the product from the automotive, electronics, machines and metals, and pharmaceuticals industries is driving huge demand for modular robots to upgrade their current manufacturing unit.
In terms of geography, Asia-Pacific led the overall modular robotics market in 2021. Strong presence of well-established players such as Yamaha Motors Co. Ltd., Yaskawa Electric Corporation, Mitsubishi Electric Corporation, and Fanuc Corporation across the region is driving the regional growth. Moreover, according to World Robots 2018 International Federation of Robots Industrial Report, automotive and electronics industry is amongst the leading end-users of modular robotics technology worldwide, particularly in Asia Pacific.
On the other hand, though the demand for modular robots is increasing, the complications occurred while designing robots and electronic controllers are hindering the growth of this market. Inter-operation of various components and integration with other robotics frameworks into existing facilities coupled with safe handling of industrial grade operations are some of the factors restraining the market growth. Moreover, high initial costs incurred for installing modular robotics assemblies for low volume production plant is another significant challenge impeding the growth of modular robotics market worldwide.
Key Players Identified in the Modular Robotics Market Include:
ABB Ltd., FANUC Corporation, Mitsubishi Electric Corporation, Yaskawa Robotics, Kawasaki Heavy Industries, Ltd., Aurotek Corporation, Universal Robots, DENSO, A.C.M.I. spa, CMA Robotics Spa, Rethink Robotics GmbH and Others.
Some of Recent News:
February, 2019 – Universal Robots announced its collaboration with Bharat Fritz Werner (BFW), manufacturer of India based machine tools. The partnership would help to merge the collaborative robots technology with MSME shop floors via a modular platform. In addition, it would also advance BFW's production capacity.
Historical & Forecast Period
This study report represents analysis of each segment from 2022 to 2032 considering 2023 as the base year. Compounded Annual Growth Rate (CAGR) for each of the respective segments estimated for the forecast period of 2024 to 2032.
The current report comprises of quantitative market estimations for each micro market for every geographical region and qualitative market analysis such as micro and macro environment analysis, market trends, competitive intelligence, segment analysis, porters five force model, top winning strategies, top investment markets, emerging trends and technological analysis, case studies, strategic conclusions and recommendations and other key market insights.
Research Methodology
The complete research study was conducted in three phases, namely: secondary research, primary research, and expert panel review. key data point that enables the estimation of Modular Robotics market are as follows:
Market forecast was performed through proprietary software that analyzes various qualitative and quantitative factors. Growth rate and CAGR were estimated through intensive secondary and primary research. Data triangulation across various data points provides accuracy across various analyzed market segments in the report. Application of both top down and bottom-up approach for validation of market estimation assures logical, methodical and mathematical consistency of the quantitative data.
ATTRIBUTE | DETAILS |
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Research Period | 2022-2032 |
Base Year | 2023 |
Forecast Period | 2024-2032 |
Historical Year | 2022 |
Unit | USD Million |
Segmentation | |
Component
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Robot Type
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Industry Vertical
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Region Segment (2022-2032; US$ Million)
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Key questions answered in this report