Solar Panel Cleaning Market Size and Share

Solar Panel Cleaning Market (2026 - 2031)
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Solar Panel Cleaning Market Analysis by Mordor Intelligence

The Solar Panel Cleaning Market size is projected to expand from USD 1.41 billion in 2025 and USD 1.54 billion in 2026 to USD 2.34 billion by 2031, registering a CAGR of 8.75% between 2026 to 2031. Rising utility-scale photovoltaic projects in arid zones, corporate power-purchase agreements that penalize soiling losses, and module warranties embedding anti-soiling KPIs are reshaping procurement decisions across the solar panel cleaning market. Automated dry-brush robots that eliminate water logistics are gaining momentum as water-neutral operations become an ESG imperative in the Middle East, North Africa, and Australia. Asia-Pacific dominates revenue today and will sustain a double-digit growth pace as China scales robotic manufacturing and India mandates biweekly cleaning cycles in state-level park tenders. Competitive rivalry stays moderate because the top five suppliers command only about one-third of global sales, leaving regional specialists ample headroom to target niche deployments such as floating PV arrays and agrivoltaic farms.

Key Report Takeaways

  • By cleaning method, wet cleaning led with a 60.0% share of the solar panel cleaning market in 2025, while dry systems are forecast to expand at an 11.7% CAGR through 2031.
  • By technology level, manual tools accounted for 50.2% of 2025 revenue in the solar panel cleaning market; fully autonomous robots are advancing at an 11.4% CAGR to 2031.
  • By deployment, utility-scale installations above 1 MW captured 60.5% of the solar panel cleaning market share in 2025, whereas floating PV arrays will post the fastest 14.1% CAGR through 2031.
  • By service model, in-house O&M teams held 45.4% revenue in 2025, but Robot-as-a-Service subscriptions are projected to grow at 12.5% annually to 2031.
  • By geography, Asia-Pacific contributed 45.1% to the solar panel cleaning market share in 2025 and is expanding at a 10% CAGR through 2031.

Note: Market size and forecast figures in this report are generated using Mordor Intelligence’s proprietary estimation framework, updated with the latest available data and insights as of January 2026.

Segment Analysis

By Cleaning Method: Dry Systems Gain as Water Logistics Constrain Wet Approaches

Dry-brush robots captured a growing share as wet cleaning retained 60.0% of the solar panel cleaning market size in 2025. High-pressure jet systems dominate coastal Spain, Italy, and the UAE, where salt films demand periodic rinsing, while Solaris Hydrobotics’ water-motor robots consume only 0.5-1.5 liters per panel and thrive where water is plentiful yet grid power is absent [2]Solaris Hydrobotics, “H-Series Autonomous Cleaners Brochure,” solaris-hydrobotics.com.

Ecoppia’s 3,900 MW of water-free deployments illustrate how eliminating tanker-truck logistics cuts operating expenses 30-40% in deserts. Triboelectric electrodynamic screens tested by Bluesky and Nomadd remove 90% of dust in seven minutes, offering a future zero-brush solution. Biodegradable agents from Chemitek enable drone spraying over agrivoltaic rows, blending wet and aerial techniques into a hybrid toolkit. As water prices surpass USD 5 per m³ in MENA, dry platforms are steadily eroding wet dominance, and the solar panel cleaning industry is witnessing procurement policies that now default to zero-water options for plants entering service after 2026.

Solar Panel Cleaning Market: Market Share by Cleaning Method
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Solar Panel Cleaning Market: Market Share by Cleaning Method

By Technology Level: Autonomous Robots Displace Manual Tools in Utility Segment

Manual equipment still holds 50.2% of 2025 revenue in the solar panel cleaning market share, chiefly across residential and sub-MW rooftops where low labor costs outweigh efficiency gains [3]Serbot AG, “pvEco STANDARD Data Sheet,” serbot.com. Semi-automatic trolleys bridge affordability gaps for Indian and Southeast Asian C&I sites with mixed roof angles.

Fully autonomous robots are scaling at an 11.4% CAGR, aided by GPS positioning accurate to ±10 cm, machine vision, and night-time operation that avoids thermal shock. FAA approval for multi-drone solar missions in 2025 positions aerial systems to complement ground crawlers on irregular terrain. EAUAV drones cleaning 8,000-10,000 m² daily expand access to high-elevation arrays, while Infosys-Kaynes’ Kleinbot targets compact roofs shaded by HVAC units. The solar panel cleaning industry as a whole is moving toward integrated fleets mixing ground robots and drones, accelerating the retirement of purely manual regimes.

By Deployment: Floating PV Arrays Demand Specialized Access Solutions

Utility-scale plants above 1 MW generated 60.5% of 2025 revenue, leveraging robotic fleets that clean 2,000 m² per hour at costs below USD 1,000 per MW annually. Brazil’s 69 MWp Lajeado floating array and Paraguay’s 1 MWp Itaipu pilot illustrate a surge toward water-surface installations that curb evaporation by up to 50%.

Floating projects will rise at a 14.1% CAGR as suppliers modify IP65 robots with buoyant pontoons and corrosion-resistant drives. Residential rooftops under 20 kW remain manual because capital recovery for robots exceeds 10 years, but C&I systems in the 20 kW-1 MW band are adopting lightweight crawlers such as IFBOT’s X3 for quick ROI. NTPC’s 250 MW Bikaner project, using 2,500 Sol-Bright robots, shows that economies of scale firmly anchor automation in the utility domain, while specialized floating-PV robots command price premiums that lift margins for manufacturers.

Solar Panel Cleaning Market: Market Share by Deployment
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Solar Panel Cleaning Market: Market Share by Deployment

By Service Model: RaaS Subscriptions Shift Capex to Opex for IPPs

In-house O&M teams controlled 45.4% of global revenue in 2025, favored by state utilities in China and India that negotiate bulk robot discounts. Third-party contractors are increasingly favored for geographically dispersed portfolios as they offer integrated service packages that combine labor, insurance, and analytics, enhancing operational efficiency and cost management.

Robot-as-a-Service subscriptions, charging USD 1,500-3,000 per MW monthly, are scaling at 12.5% annually as private equity-backed IPPs prioritize balance-sheet flexibility. Solidus Techno Power’s partnership with Sol-Bright in Rajasthan embeds biweekly cleaning into turnkey O&M, signalling a shift from equipment ownership to performance procurement. While RaaS is uneconomic for small rooftops, projections suggest it could reach 40% penetration by 2031 as financiers grow comfortable underwriting subscription contracts.

Geography Analysis

Asia-Pacific accounted for 45.1% of global revenue in 2025 and is forecast to grow at 10.0% annually through 2031. China’s module output of 289 GW and India’s biweekly cleaning mandates anchor demand, while TrinaRobot’s cross-row systems improved generation 8-15% across 152 MW in Albania and 100 MW in Malaysia. Japan, South Korea, and ASEAN nations added 41.4 GW of solar capacity in 2022, driving the uptake of portable robots suited to dense urban rooftops.

North America’s utility-scale buildout surged 73% from 2021 to 2024 on the back of the Inflation Reduction Act, but residential installations fell 31-32% in 2024 as interest rates climbed. Desert states like Arizona and Sonora rely on dry-brush fleets to avoid USD 1,000-plus water-truck runs. Canada’s Ontario and Alberta favor semi-automatic platforms that can double as snow-removal tools without violating module warranties.

Europe added 41.4 GW in 2022 and aims for 450 GWac under REPowerEU, with Spain’s seasonal dust curtailing output up to 15% during dry spells. Hybrid regimes using dry robots for routine cycles and wet systems for deep cleans are now standard in Spain and Portugal. Nordic arrays prioritize soft-roller snow solutions, while Germany’s feed-in tariffs spur rooftop growth, demanding lightweight portable equipment.

The Middle East and Africa experience the planet’s worst soiling rates up to 0.9% per day,y making water-free robots essential. Saudi Arabia’s Vision 2030 complexes employ Ecoppia fleets that reach 99.92% cleaning efficiency without a single liter of water. South Africa and Egypt follow suit as water scarcity converges with ambitious solar pipelines, reinforcing the region’s status as a bellwether for dry-brush innovation.

Solar Panel Cleaning Market CAGR (%), Growth Rate by Region
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Competitive Landscape

The solar panel cleaning market remains moderately concentrated. Ecoppia commands first-mover scale with 3,900 MW deployed and 16,000 MW under contract, yet Chinese rivals Sol-Bright and TrinaRobot undercut pricing by 20-30% through localized supply chains. BladeRanger’s 18% segment share in fully automatic robots stems from EPC bundling strategies that anchor equipment sales within turnkey solar packages.

Vertical integration is accelerating as module giants acquire cleaning startups to guarantee power-plant performance. SunBrush and Sun-X formed Suntex in 2025 to merge European manufacturing with sensor expertise, while TrinaRobot leveraged its state laboratory to launch Buildex installation robots in 2025 and then pivot into cleaning. Drone innovators VisionWave and Objectif Drone secured multi-country permits, signaling aerial systems’ disruption potential in terrain where ground crawlers falter.

White-space opportunities persist in residential and agrivoltaic niches where unit economics and crop-row obstacles challenge today’s heavy robots. Electrostatic screens under development by Bluesky and Nomadd promise zero-brush, zero-water cleaning within three years, and Chemitek’s biodegradable agents open doors for drone-spray services. Software capabilities now differentiate leaders as IoT dashboards, AI-driven maintenance alerts, and API integration with SCADA become table stakes for contract awards.

Solar Panel Cleaning Industry Leaders

  1. Ecoppia

  2. SunBrush mobil GmbH

  3. Kärcher

  4. Serbot AG

  5. SolarCleano

  6. *Disclaimer: Major Players sorted in no particular order
Solar Panel Cleaning Market
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Recent Industry Developments

  • March 2026: Researchers from Scotland, China, and India developed a transparent, water-repellent coating that could enhance solar panel efficiency by making them self-cleaning. This dual-layer coating repels water, dust, and dirt without compromising the light transmission to photovoltaic cells. Unlike many existing solutions, it is free from per- and polyfluoroalkyl substances (PFAS), commonly known as forever chemicals. This breakthrough was published in the academic journal Colloids and Surfaces A: Physicochemical and Engineering Aspects.
  • February 2026: Chemitek Solar announced the upcoming launch of a cleaning solution specifically designed for agrivoltaic systems, which can be applied using drones. The Drone AgroPV Cleaning Agent, part of Chemitek Solar’s AgroPV product range, will be officially introduced at Intersolar Europe 2026 in June. This biodegradable solution complements the company’s portfolio of cleaning, water treatment, and soiling mitigation products tailored for agrivoltaic applications.
  • September 2025: North Central Railway (NCR) successfully tested drone-based solar panel cleaning at Subedarganj Station, Prayagraj, as part of the Indian Railways’ Solar Mission. The 19-kg drone, equipped with a 10-litre water tank and four nozzles, operated for 22 minutes using GPS, efficiently cleaning panels while minimizing water usage.
  • May 2025: A startup incubated at Dr. Panjabrao Deshmukh Krishi Vidyapeeth (PDKV), Akola, announced the development of a drone capable of cleaning a 1-megawatt solar energy project in just 30 minutes using clean water. This innovation, developed under the guidance of Dr. S.R. Kalbande, director of PDKV-RIF and dean of agricultural engineering, in collaboration with Indian Drone Research and Development Pvt Ltd, provides a faster, automated, and eco-friendly alternative to traditional manual cleaning methods.

Table of Contents for Solar Panel Cleaning Industry Report

1. Introduction

  • 1.1 Study Assumptions & Market Definition
  • 1.2 Scope of the Study

2. Research Methodology

3. Executive Summary

4. Market Landscape

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Rapid utility-scale PV build-outs in arid zones
    • 4.2.2 Stricter O&M performance-ratio contracts
    • 4.2.3 Falling LCOE of dry-brush robotic systems
    • 4.2.4 PV module warranties adding anti-soiling KPIs
    • 4.2.5 ESG-driven water-neutral O&M mandates
  • 4.3 Market Restraints
    • 4.3.1 High capex of fully-autonomous robots
    • 4.3.2 Limited ROI for rooftops <50 kW
    • 4.3.3 Regulatory gray-zones on micro-plastics from brush wear
    • 4.3.4 Skilled-labor shortages for robot fleet servicing
  • 4.4 Supply-Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 Porter's Five Forces Analysis
    • 4.7.1 Threat of New Entrants
    • 4.7.2 Bargaining Power of Buyers
    • 4.7.3 Bargaining Power of Suppliers
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Competitive Rivalry

5. Market Size & Growth Forecasts

  • 5.1 By Cleaning Method
    • 5.1.1 Wet (Water-Fed Brush, High-Pressure Jet)
    • 5.1.2 Dry (Rotary Brush, Air-Blast)
    • 5.1.3 Electrostatic / Ionic
    • 5.1.4 Coating-Based Self-Cleaning (Hydrophobic, Anti-Soiling)
  • 5.2 By Technology Level
    • 5.2.1 Manual Tools
    • 5.2.2 Semi-Automatic (Trolley, Tractor-Mounted)
    • 5.2.3 Fully-Autonomous Robots
    • 5.2.4 Drone-Based Systems
  • 5.3 By Deployment
    • 5.3.1 Residential Rooftop (Up to 20 kW)
    • 5.3.2 Commercial and Industrial (20 kW to 1 MW)
    • 5.3.3 Utility-Scale (Above 1 MW)
    • 5.3.4 Floating PV Arrays
  • 5.4 By Service Model
    • 5.4.1 In-House O&M Teams
    • 5.4.2 Third-Party Cleaning Service Providers
    • 5.4.3 Robot-as-a-Service (RaaS) Subscriptions
  • 5.5 By Geography
    • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
    • 5.5.2 Europe
    • 5.5.2.1 Germany
    • 5.5.2.2 United Kingdom
    • 5.5.2.3 France
    • 5.5.2.4 Italy
    • 5.5.2.5 NORDIC Countries
    • 5.5.2.6 Russia
    • 5.5.2.7 Rest of Europe
    • 5.5.3 Asia-Pacific
    • 5.5.3.1 China
    • 5.5.3.2 India
    • 5.5.3.3 Japan
    • 5.5.3.4 South Korea
    • 5.5.3.5 ASEAN Countries
    • 5.5.3.6 Rest of Asia-Pacific
    • 5.5.4 South America
    • 5.5.4.1 Brazil
    • 5.5.4.2 Argentina
    • 5.5.4.3 Rest of South America
    • 5.5.5 Middle East and Africa
    • 5.5.5.1 Saudi Arabia
    • 5.5.5.2 United Arab Emirates
    • 5.5.5.3 South Africa
    • 5.5.5.4 Egypt
    • 5.5.5.5 Rest of Middle East and Africa

6. Competitive Landscape

  • 6.1 Market Concentration
  • 6.2 Strategic Moves (M&A, Partnerships, PPAs)
  • 6.3 Market Share Analysis (Market Rank/Share for key companies)
  • 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Products & Services, and Recent Developments)
    • 6.4.1 Ecoppia
    • 6.4.2 SunBrush mobil GmbH
    • 6.4.3 Kärcher
    • 6.4.4 Serbot AG
    • 6.4.5 SolarCleano
    • 6.4.6 RST CleanTech
    • 6.4.7 Heliotex
    • 6.4.8 Sunpure Technology
    • 6.4.9 IPC Eagle
    • 6.4.10 PV Clean Mobile (USA)
    • 6.4.11 Clean Solar Industries
    • 6.4.12 KP Group
    • 6.4.13 TrinaRobot
    • 6.4.14 ChemiTek
    • 6.4.15 IFBOT Robotics
    • 6.4.16 Exosun
    • 6.4.17 Energy Robotics
    • 6.4.18 Aqua Solar Cleaners
    • 6.4.19 Limpeza Solar (Brazil)
    • 6.4.20 Müller Solar Services

7. Market Opportunities & Future Outlook

  • 7.1 White-space & Unmet-Need Assessment

Global Solar Panel Cleaning Market Report Scope

Solar panel cleaning is crucial for maintaining energy efficiency by removing dust, dirt, and other residues that obstruct sunlight and reduce power output. Methods such as water cleaning, soft brushing, or automated systems are commonly used. Regular maintenance, particularly in dusty regions, enhances performance, extends panel lifespan, and maximizes return on investment while ensuring safe handling to avoid damage.

The solar panel cleaning market is segmented by cleaning method, technology level, deployment, service model, and geography. By cleaning method, the market is segmented into wet, dry, electrostatic, and coating-based solutions. By technology level, the market is segmented into manual, semi-automatic, autonomous robots, and drones. By deployment, the market is segmented into residential, commercial, industrial, utility-scale, and floating PV systems. By service model, the market is segmented into in-house, third-party services, and Robotics-as-a-Service (RaaS). The report also covers market sizes and forecasts for the global solar panel cleaning market across major countries and regions. For each segment, market sizing and forecasts have been conducted on the basis of value (USD).

By Cleaning Method
Wet (Water-Fed Brush, High-Pressure Jet)
Dry (Rotary Brush, Air-Blast)
Electrostatic / Ionic
Coating-Based Self-Cleaning (Hydrophobic, Anti-Soiling)
By Technology Level
Manual Tools
Semi-Automatic (Trolley, Tractor-Mounted)
Fully-Autonomous Robots
Drone-Based Systems
By Deployment
Residential Rooftop (Up to 20 kW)
Commercial and Industrial (20 kW to 1 MW)
Utility-Scale (Above 1 MW)
Floating PV Arrays
By Service Model
In-House O&M Teams
Third-Party Cleaning Service Providers
Robot-as-a-Service (RaaS) Subscriptions
By Geography
North America United States
Canada
Mexico
Europe Germany
United Kingdom
France
Italy
NORDIC Countries
Russia
Rest of Europe
Asia-Pacific China
India
Japan
South Korea
ASEAN Countries
Rest of Asia-Pacific
South America Brazil
Argentina
Rest of South America
Middle East and Africa Saudi Arabia
United Arab Emirates
South Africa
Egypt
Rest of Middle East and Africa
By Cleaning Method Wet (Water-Fed Brush, High-Pressure Jet)
Dry (Rotary Brush, Air-Blast)
Electrostatic / Ionic
Coating-Based Self-Cleaning (Hydrophobic, Anti-Soiling)
By Technology Level Manual Tools
Semi-Automatic (Trolley, Tractor-Mounted)
Fully-Autonomous Robots
Drone-Based Systems
By Deployment Residential Rooftop (Up to 20 kW)
Commercial and Industrial (20 kW to 1 MW)
Utility-Scale (Above 1 MW)
Floating PV Arrays
By Service Model In-House O&M Teams
Third-Party Cleaning Service Providers
Robot-as-a-Service (RaaS) Subscriptions
By Geography North America United States
Canada
Mexico
Europe Germany
United Kingdom
France
Italy
NORDIC Countries
Russia
Rest of Europe
Asia-Pacific China
India
Japan
South Korea
ASEAN Countries
Rest of Asia-Pacific
South America Brazil
Argentina
Rest of South America
Middle East and Africa Saudi Arabia
United Arab Emirates
South Africa
Egypt
Rest of Middle East and Africa

Key Questions Answered in the Report

What is the projected value of the solar panel cleaning market in 2031?

It is forecast to reach USD 2.34 billion by 2031 as the sector advances at an 8.75% CAGR

Which cleaning method is growing the fastest?

Dry-brush robotic systems are expanding at an 11.7% CAGR because they eliminate costly water logistics in arid regions.

Why are Robot-as-a-Service models gaining popularity?

RaaS shifts a USD 50,000-plus robot purchase into monthly fees of USD 1,500-3,000 per MW, improving cash flow for independent power producers.

How large is Asia-Pacific’s share of global revenue?

The region accounted for 45.1% of 2025 revenue and is set to grow at 10.0% annually through 2031.

What limits robot adoption on residential rooftops?

High capital costs extend payback beyond 10 years for systems under 50 kW, making manual tools more economical at present.

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