市場調查報告書
商品編碼
1636723
到 2030 年能源無人機市場預測:按無人機類型、動力來源、有效負載/感測器、應用、最終用戶和地區進行全球分析Drones in Energy Sector Market Forecasts to 2030 - Global Analysis By Drone Type, Power Source, Payloads and Sensors, Application, End User and By Geography |
根據 Stratistics MRC 的數據,到 2024 年,全球能源領域無人機市場價值將達到 6.815 億美元,預計在預測期內將以 21% 的複合年成長率成長,到 2030 年將達到 21.391 億美元。
能源領域的無人機是用於檢查、監控和維護能源基礎設施的無人機(UAV)。透過為電力線、風力發電機和管道等資產提供即時資料、高解析度影像和熱感掃描來提高效率。無人機可降低營運成本,透過最大限度地減少人類參與危險任務來提高安全性,並透過現場調查、性能分析和預測性維護應用來支援可再生能源的開發。
根據世界經濟論壇(WEF)稱,無人機可以將檢查能源基礎設施的成本降低近50%。
對可再生能源的需求不斷成長
對可再生能源的日益關注正在推動能源領域對無人機的需求。無人機正在幫助檢查和維護太陽能發電廠、風力發電機和其他可再生能源基礎設施。無人機為傳統檢查方法提供了一種經濟高效、安全的替代方案,確保不間斷運作。隨著全球努力減少碳排放和擴大可再生能源產能,無人機進行監測和維護的應用預計將大幅成長,從而支持向永續能源系統的過渡。
初始投資高
在能源領域引入無人機所需的高額初始投資是一個主要障礙。對於中小型企業來說,購買配備熱感成像、LiDAR感測器和人工智慧功能的先進無人機的相關成本可能過高。此外,培訓人員以及將無人機技術整合到現有工作流程中也會增加營運費用。儘管無人機可以長期節省成本並提高效率,但這些財務障礙可能會減緩其採用速度。
與人工智慧整合
人工智慧(AI)的整合為能源領域的無人機帶來了巨大的成長機會。配備人工智慧的無人機可以分析檢查期間收集的大量資料,從而實現預測性維護和即時決策。這減少了停機時間並提高了業務效率。人工智慧的使用也促進了自主飛行能力,使無人機能夠在複雜的環境中導航而無需人工干預。隨著業界擴大採用人工智慧驅動的解決方案,對智慧無人機系統的需求預計將會增加。
資料安全問題
資料安全問題對無人機在能源領域的採用構成了重大威脅。無人機在檢查過程中收集基礎設施漏洞和操作資料等敏感訊息,使其成為網路攻擊的潛在目標。確保資料的安全傳輸和儲存需要強大的網路安全措施,從而增加營運複雜性和成本。未能解決這些問題可能會導致監管處罰、聲譽受損以及相關人員信心喪失。
隨著公司尋求非接觸式檢查和維護解決方案,COVID-19 大流行加速了無人機在能源領域的採用。無人機可以在鎖定期間遠端監控基礎設施,確保業務的連續性,同時最大限度地減少人類暴露在危險環境中的機會。以可再生能源計劃為重點的疫情後恢復工作進一步增加了對基於無人機的解決方案的需求。
多旋翼無人機市場預計將在預測期內成為最大的市場
由於多旋翼無人機的多功能性和易於操作性,預計在預測期內將佔據最大的市場佔有率。這些無人機廣泛用於風力發電機、太陽能電池板和電力線路的近距離檢查。懸停在適當位置的能力可以在難以到達的位置收集詳細的資料。可再生和傳統能源領域對高效測試工具的需求不斷成長,確保了該領域的持續成長。
頻譜/高光譜影像領域預計在預測期內複合年成長率最高。
在預測期內,頻譜/高光譜影像領域由於其檢測基礎設施異常的先進能力,預計將出現最高的複合年成長率。這些成像技術可以詳細了解電力線和管道周圍的材料劣化、熱性能和植被侵蝕。高精度監控的應用與智慧型能源管理系統投資的增加一致,並正在推動快速採用。
由於其先進的技術基礎設施和較早採用無人機技術,預計北美地區在預測期內將佔據最大的市場佔有率。主要無人機製造商的存在以及政府對可再生能源計劃的大力支持正在推動該地區的成長。此外,嚴格的安全法規正促使能源公司採用基於無人機的檢查解決方案來提高業務效率。
由於中國和印度等國家對可再生能源基礎設施的投資增加,預計亞太地區在預測期內將實現最高成長率。該地區幅員遼闊,地形複雜,需要無人機等高效檢查工具。亞太地區是一個重要的成長市場,政府推動清潔能源計劃的努力進一步提振了需求。
According to Stratistics MRC, the Global Drones in Energy Sector Market is accounted for $681.5 million in 2024 and is expected to reach $2139.1 million by 2030 growing at a CAGR of 21% during the forecast period. Drones in the energy sector are unmanned aerial vehicles (UAVs) used for inspection, monitoring, and maintenance of energy infrastructure. They enhance efficiency by providing real-time data, high-resolution imagery, and thermal scans for assets like power lines, wind turbines, and pipelines. Drones reduce operational costs, improve safety by minimizing human involvement in hazardous tasks, and support renewable energy development through site surveys, performance analysis, and predictive maintenance applications.
According to World Economic Forum (WEF), drones could slash the costs of inspection of energy infrastructure by nearly 50%.
Growing demand for renewable energy
The increasing focus on renewable energy sources drives the demand for drones in the energy sector. Drones are instrumental in inspecting and maintaining solar farms, wind turbines, and other renewable energy infrastructure. They offer cost-effective, efficient, and safer alternatives to traditional inspection methods, ensuring uninterrupted operations. With global efforts to reduce carbon emissions and expand renewable energy capacity, the adoption of drones for monitoring and maintenance is expected to grow significantly, supporting the transition to sustainable energy systems.
High initial investment
The high initial investment required for drone deployment in the energy sector acts as a major restraint. Costs associated with purchasing advanced drones equipped with thermal imaging, LiDAR sensors, and AI capabilities can be prohibitive for small or mid-sized companies. Furthermore, training personnel and integrating drone technology into existing workflows add to operational expenses. These financial barriers can delay adoption despite the long-term cost savings and efficiency improvements drones provide.
Integration with artificial intelligence
The integration of artificial intelligence (AI) presents a significant growth opportunity for drones in the energy sector. AI-powered drones can analyze vast amounts of data collected during inspections, enabling predictive maintenance and real-time decision-making. This reduces downtime and enhances operational efficiency. The use of AI also facilitates autonomous flight capabilities, allowing drones to navigate complex environments without human intervention. As industries increasingly adopt AI-driven solutions, the demand for intelligent drone systems is expected to rise.
Data security concerns
Data security concerns pose a significant threat to the adoption of drones in the energy sector. Drones collect sensitive information during inspections, such as infrastructure vulnerabilities or operational data, which could be targeted by cyberattacks. Ensuring secure data transmission and storage requires robust cybersecurity measures, increasing operational complexity and costs. Failure to address these concerns can lead to regulatory penalties, reputational damage, and reduced trust among stakeholders.
The COVID-19 pandemic accelerated the adoption of drones in the energy sector as companies sought contactless solutions for inspection and maintenance. Drones enabled remote monitoring of infrastructure during lockdowns, ensuring continuity of operations while minimizing human exposure to hazardous environments. Post-pandemic recovery efforts focused on renewable energy projects have further driven demand for drone-based solutions.
The multi-rotor drones segment is expected to be the largest during the forecast period
The multi rotor drones segment is expected to account for the largest market share during the forecast period due to their versatility and ease of maneuverability. These drones are widely used for close-range inspections of wind turbines, solar panels, and power lines. Their ability to hover in place allows detailed data collection in hard-to-reach areas. The growing demand for efficient inspection tools across renewable and traditional energy sectors ensures sustained growth for this segment.
The multispectral/hyperspectral imaging segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the multispectral/hyperspectral imaging segment is expected to witness the highest CAGR due to its advanced capabilities in detecting infrastructure anomalies. These imaging technologies provide detailed insights into material degradation, thermal performance, and vegetation encroachment around power lines or pipelines. Their application in precision monitoring aligns with increasing investments in smart energy management systems, driving rapid adoption.
The North America region is anticipated to account for the largest market share during the forecast period due to its advanced technological infrastructure and early adoption of drone technology. The presence of leading drone manufacturers and strong government support for renewable energy projects drive regional growth. Additionally, stringent safety regulations encourage energy companies to adopt drone-based inspection solutions for improved operational efficiency.
The Asia Pacific region is anticipated to register the highest growth rate over the forecast period owing to rising investments in renewable energy infrastructure across countries like China and India. The region's vast geographic landscapes and challenging terrains necessitate efficient inspection tools like drones. Government initiatives promoting clean energy projects further boost demand, making Asia-Pacific a key growth market.
Key players in the market
Some of the key players in Drones in Energy Sector Market include AeroVironment, DroneDeploy, Fortem Technologies, Scopito, Aevius, Archon, Industrial SkyWorks, Iris Unmanned, Draganfly, Cyberhawk Innovations, Martek Aviation, Mistras Group, Percepto, SEIKEY Srl, Sky-Futures, Sphere Drones, Terra Drone and Viper Drones.
In May 2024, Sphere Drones is excited to announce the introduction of HubT, the next iteration of their innovative Hub solutions for farms and regional properties. The HubT system makes it easier for companies to use drones from a fixed location, without the complicated setup that was previously required.
In July 2023, Viper Drones announced the launch and immediate availability of Viper Vantage - the ultimate enterprise solution for Gas Leak detection. Using Viper Drone's industry-leading" Viper Vantage" solution, operators can visualize and pinpoint gas leaks without shutting down operations. Viper Drones' unique solution integrates the UAV and FLIR G300a OGI camera using a single controller for the pilot. This seamless integration allows the operator to use "Viper Vantage" for gas leak detection safely and cost-effectively.
In May 2023, Cyberhawk(TM), world leader in visual data management, adopts Intelligent Energy's IE-SOAR(TM) fuel cells to offer customers better quality data and increased operational efficiency. IE-SOAR(TM) is Intelligent Energy's range of lightweight hydrogen fuel cell modules for fixed wing, rotary wing and VTOL applications, and enables UAVs to fly further, for longer, and to achieve more. The modules are increasing operational efficiency and unlocking previously impossible applications with businesses no longer constrained by flight time. The two companies will be exhibiting together at AUVSI Xponential 2023 in Denver in May.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.