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Global Automatic Solar Panel Cleaning Robot Market Growth 2026-2032

Published Feb 10, 2026
Length 207 Pages
SKU # LPI20853722

Description

The global Automatic Solar Panel Cleaning Robot market size is predicted to grow from US$ 1685 million in 2025 to US$ 6535 million in 2032; it is expected to grow at a CAGR of 21.8% from 2026 to 2032.

In 2024, global Automatic Solar Panel Cleaning Robot production reached approximately 50,000 units,with an average global market price of around US$ 25,000 per unit, a single-line production capacity of approximately 200 units/year, and a gross profit margin of approximately 20%-40%%. Automatic Solar Panel Cleaning Robot is an automated or semi-automated device designed to remove dust, dirt, and other contaminants from the surface of solar panels, thereby maintaining high energy conversion efficiency and extending panel lifespan. These robots are typically equipped with brushes, microfiber rollers, air blowers, or water jets, depending on the cleaning method (dry, wet, or hybrid). Most cleaning robots are powered by electric, solar, or rechargeable battery systems, allowing continuous operation even in remote areas. They are widely applied in utility-scale solar farms, commercial rooftops, and distributed PV systems, where manual cleaning is inefficient or unsafe. The use of these robots significantly reduces labor intensity, water consumption, and maintenance costs while improving the overall reliability and energy output of photovoltaic installations. In the upstream segment, key raw materials and components are supplied, including high-efficiency electric motors, lithium-ion batteries, advanced sensors, control electronics, AI navigation modules, and durable brushes or rollers. These materials determine the performance, reliability, and energy efficiency of the final cleaning robots. The midstream segment involves the manufacturing, assembly, and system integration of robotic cleaning units, where manufacturers design both autonomous and semi-automatic robots tailored for different scales of PV installations. In the downstream segment, the robots are deployed to utility-scale solar farms, commercial rooftops, and distributed solar installations, often accompanied by installation, maintenance, and operational monitoring services. End users benefit from enhanced energy output, reduced labor costs, and water conservation, particularly in arid regions. As renewable energy adoption grows globally, downstream demand is expanding rapidly in Asia-Pacific, North America, and Europe, driving technological innovation and cost optimization upstream and midstream.

It is expected that global demand for photovoltaic products will remain high in the next few years. According to our PV & Solar Research Center, by the end of 2022, the global cumulative installed photovoltaic power generation capacity is about 1180 GW. According to the data of China Photovoltaic Industry Association, the global newly installed photovoltaic capacity in 2022 is about 230 GW, and this number in 2023 is predicted to be 280-330 GW. According to the data of the Ministry of Industry and Information Technology, the total output value of China's photovoltaic industry exceeded 1.4 trillion yuan in 2022. From the perspective of production value, mainland China is still the global center of the PV industry. According to the International Energy Agency, China market share in all key products of the supply chain have exceeded 80%. Among them, the production capacity of silicon wafers, solar cells, and components accounts for as high as 98%, 85% and 77%, respectively. According to the data released by the European Photovoltaic Association, 27 EU countries gained a new PV installed capacity of 41.4 GW in 2022. According to the report of the US Solar Energy Industries Association (SEIA), the US held a new PV installed capacity of less than 19 GW in 2022. But it is estimated that from 2023, the average annual growth rate of new photovoltaic installed capacity will exceed 21%. In terms of Japan, based on data from Fitch and the US Energy Information Administration (EIA), in 2022, Japan's newly installed photovoltaic capacity was 3.416 GW.

LP Information, Inc. (LPI) ' newest research report, the “Automatic Solar Panel Cleaning Robot Industry Forecast” looks at past sales and reviews total world Automatic Solar Panel Cleaning Robot sales in 2025, providing a comprehensive analysis by region and market sector of projected Automatic Solar Panel Cleaning Robot sales for 2026 through 2032. With Automatic Solar Panel Cleaning Robot sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Automatic Solar Panel Cleaning Robot industry.

This Insight Report provides a comprehensive analysis of the global Automatic Solar Panel Cleaning Robot landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Automatic Solar Panel Cleaning Robot portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Automatic Solar Panel Cleaning Robot market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Automatic Solar Panel Cleaning Robot and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Automatic Solar Panel Cleaning Robot.

This report presents a comprehensive overview, market shares, and growth opportunities of Automatic Solar Panel Cleaning Robot market by product type, application, key manufacturers and key regions and countries.

Segmentation by Type:
Rail-Mounted Type Cleaning Robot
Mobile Type Cleaning Robot
Others

Segmentation by Automation Level:
Fully Automatic
Semi-Automatic

Segmentation by Cleaning Methods:
Wet Cleaning Robot
Dry Cleaning Robot

Segmentation by Power Supply Methods:
Battery Powered
Solar Powered

Segmentation by Application:
Centralized Photovoltaic Power Station
Distributed Photovoltaic Power Station

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analysing the company's coverage, product portfolio, its market penetration.
Ecoppia
Sol-Bright Technologies
HyCLEANER
Taypro
SolarCleano
SKILANCER SOLAR
COOPERWIND
Todos
Inforob
Sunpure Technology
Boson Robotics
Bladeranger
SolaBot
Robsys
Aegeus Technologies
Kiaara Robotics
Mamibot
Jetsons Robotics
Ax Solar Robot
Greenleap Robotics
Airtouch Solar
Miraikikai
DARBCO Robotics
SUNPURE
O&M POWER
X-Human
LUYU ROBOT
Skysys
Ifbot Tech
Derui Intelligent Technology
Solar-LIT

Key Questions Addressed in this Report

What is the 10-year outlook for the global Automatic Solar Panel Cleaning Robot market?

What factors are driving Automatic Solar Panel Cleaning Robot market growth, globally and by region?

Which technologies are poised for the fastest growth by market and region?

How do Automatic Solar Panel Cleaning Robot market opportunities vary by end market size?

How does Automatic Solar Panel Cleaning Robot break out by Type, by Application?

Please note: The report will take approximately 2 business days to prepare and deliver.

Table of Contents

207 Pages
*This is a tentative TOC and the final deliverable is subject to change.*
1 Scope of the Report
2 Executive Summary
3 Global by Company
4 World Historic Review for Automatic Solar Panel Cleaning Robot by Geographic Region
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
10 Manufacturing Cost Structure Analysis
11 Marketing, Distributors and Customer
12 World Forecast Review for Automatic Solar Panel Cleaning Robot by Geographic Region
13 Key Players Analysis
14 Research Findings and Conclusion
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