Solar Panel Automatic Cleaning Robot Market Owing To Increasing Solar Power Adoption

Global Solar Panel Automatic Cleaning Robot Market Size
Global Solar Panel Automatic Cleaning Robot Market Size



The solar panel automatic cleaning robot market is estimated to be valued at US$ 232.79 Mn or Mn in 2023 and is expected to exhibit a CAGR of 11.% over the forecast period 2023 to 2030, as highlighted in a new report published by Coherent Market Insights.

Market Overview:
Solar panel automatic cleaning robots are autonomous machines designed to clean photovoltaic solar panels without human intervention. They clear dust, debris, bird droppings and other particles that stick to the panel surface and reduces its power generation capacity. The robot uses cleaning solutions and wiper systems to ensure panels remain clean for maximum efficiency. It significantly lowers cleaning costs and increases overall electricity output for commercial solar farms.

Market Dynamics:
The market is primarily driven by the growing solar panel installations globally. According to the International Energy Agency, almost 130 GW of new solar PV capacity was added worldwide in 2020 alone. This doubled the past year's additions and increased the total installed solar PV capacity around the world to over 730 GW. Continued expansion of solar farms is expected to fuel demand for cleaning robots needed to maximize performance. Additionally, rising focus on efficiency and negligible human intervention for cleaning hazardous solar sites also boosts the robot's adoption. However, high initial investment costs and technical challenges related to cleaning complex panel arrays can hamper the market growth. Ongoing R&D around improving efficiency, battery life and autonomous functions of robots could open new opportunities.

SWOT Analysis for Solar Panel Automatic Cleaning Robot Market
Strength:
- It provides cleaning of solar panels without human intervention thus reducing manpower costs
- Regular cleaning helps improve solar panel efficiency by 15-20% and maximizes energy output
- These robots use minimal water and are environment friendly

Weakness:
- High initial investment cost compared to manual cleaning methods
- Require regular maintenance and repairs which increases overall costs

Opportunity:
- Growing adoption of solar energy globally is driving the need for efficient cleaning solutions
- Favorable government policies and regulations supporting solar power generation offers market opportunities

Threats:
- Competition from emerging manual cleaning technologies that offer cheaper solutions
- Supply chain and logistical disruptions due to pandemic can impact components availability


Key Takeaways

The Global Solar Panel Automatic Cleaning Robot Market Size is expected to witness high growth, exhibiting a CAGR of 11% over the forecast period, due to increasing demand for boosting solar panel efficiency.

Market size: The global Solar Panel Automatic Cleaning Robot Market size was valued at US$ 232.79 Mn in 2023 and is expected to reach US$ 542.21 Mn by 2030, expanding at a CAGR of 11% during the forecast period.

Regional analysis: Asia Pacific dominates the global market and is expected to retain its dominance, growing at a CAGR of 11.5% till 2030 due to large solar power installations across major markets like China, India and Japan. Europe is the second largest regional market driven by favorable renewable energy policies in countries like Germany, Greece, and Italy.

Key players: Key players operating in the Solar Panel Automatic Cleaning Robot Market are Ecoppia, Solavio Labs Private Limited, SCM, Indisolar Products Private Limited, Bladeranger, INTEGRA GLOBAL CO. LTD, Miraikikai, SolarCleano, SKYROBOT lnc., Taypro Private Limited, Skilancer Solar Private Limited, Nocca Robotics Pvt. Ltd., Infiction Labs Pvt Ltd., SunPower Corporation, Boson Robotics LTD., Serbot AG, Nomadd Desert Solar Solutions, Heliotex, LLC., SunBrush mobil GmbH, Alion Energy.

 

Discover More@ https://www.pressreleasebulletin.com/solar-panel-automatic-cleaning-robot-market/

Post a Comment

Previous Post Next Post