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市场调查报告书
商品编码
1503329
到 2030 年机器人废弃物分类系统的全球市场预测:按类型、废弃物分类类型、回收设施中安装的机器人、应用和区域进行全球分析Robotic Waste Sorting System Market Forecasts to 2030 - Global Analysis By Type, Waste Sorting Type, Robots Deployed in Recycling Facility, Application and By Geography |
根据 Stratistics MRC 的数据,2024 年全球机器人废弃物分类系统市场规模将达到 38.9 亿美元,预计到 2030 年将达到 122.6 亿美元,预测期内复合年增长率为 21.1%。
机器人废弃物分类系统正在彻底改变回收程序,该系统使用最尖端科技来提高准确性和效率。这些系统使用先进的感测器、人工智慧和机械臂来自动识别、分离和分类不同类型的废弃物。该系统提高了回收设施的吞吐量,同时透过取代集中的手动分类作业,显着降低了人事费用。此外,机器人废弃物分类系统可以产生更清洁的废弃物流,提高回收率,并最终实现更环保、永续的废弃物管理策略。
据国家废弃物和回收协会(NWRA)称,采用机器人废弃物分类系统有可能显着提高回收业务的效率和效果,从而改善环境并为该行业带来经济效益。
成本和人手不足
废弃物管理部门面临的劳动力短缺是由于员工离职率率高,以及缺乏负责通常被认为乏味、危险和骯脏的分类任务的候选人。随着工资上涨和劳动力变得稀缺,人工分拣的成本增加。机器人可以不间断地工作,显着提高生产力并减少对人手的依赖。此外,这项变更保持了分类效率和准确性的高标准,使公司能够更好地控製成本。
高起价
机器人废弃物分类系统需要大量的初始投资来安装和设定。这涵盖了复杂的机器人设备、人工智慧(AI)软体、感测器和其他技术组件的价格。将这些系统纳入目前的废弃物管理基础设施也会产生相关成本。此外,城市废弃物管理服务和中小型企业 (SME) 在获得必要的资金和快速展示投资收益(ROI) 方面经常面临挑战。
技术创新与融合
机器人技术、机器学习和人工智慧 (AI) 的持续发展具有提高废弃物分类系统性能的巨大潜力。此外,光学、红外线和 X 射线感测器等感测器技术的进步可以提高材料分类和识别的准确性。将这些技术整合到目前的废弃物管理系统中可以实现更智慧、更有效的营运。
隐私和资料安全问题
机器人废弃物分类系统的物联网和人工智慧整合需要大量的资料收集和分析。这引发了资料安全和隐私问题。网路攻击、资料外洩和未授权存取个人资讯都可能是由系统安全缺陷引起的。此外,强大的网路安全措施虽然对于保护资料和维持客户信任是必要的,但也会增加系统开发和营运的复杂性和成本。
COVID-19 大流行对机器人废弃物分类系统市场的影响好坏参半。一方面,关闭和其他限制扰乱了全球供应链,并推迟了新系统的生产和实施。相反,这种流行病凸显了在劳动力短缺和社会疏远要求的情况下维持营运的自动化需求,引发了人们对机器人废弃物管理解决方案的兴趣和资金激增。此外,推动机器人分类技术采用的是减少人类与废弃物接触的需要以及卫生意识不断提高,这为后大流行时代的市场成长奠定了基础。
预计硬体设备领域在预测期内将是最大的
机器人废弃物分类系统市场由硬体设备领域主导。该领域涵盖机器人分类系统运作所需的机械部件,例如输送机、机械臂和感测器。获取和部署这些尖端硬体系统的高昂初始成本占据了该市场的很大一部分。此外,硬体技术的持续开拓进一步支持了这种市场需求和投资,例如更复杂的感测器阵列和强大而有效的机械臂。
塑胶产品分类产业预计在预测期内复合年增长率最高
在机器人废弃物分类系统市场中,塑胶产品分类领域预计将以最高的复合年增长率成长。提高塑胶回收再利用的迫切需求以及世界对塑胶污染意识的不断增强是这一爆炸性增长的主要原因。机器人技术的进步,例如改进的人工智慧(AI)演算法和先进的光学感测器,大大提高了准确识别和分类不同类型塑胶的能力。此外,随着政府和组织实施更严格的法规和倡议来减少塑胶废弃物,对高效塑胶分类解决方案的需求也在增加。
机器人废弃物分类系统市场以北美地区为主。这一优势归因于该地区是尖端废弃物管理技术的早期采用者,并在自动化方面进行了大量投资。美国和加拿大拥有大型科技公司和先进的基础设施,使得整合机器人分类系统变得更加容易。此外,旨在减少垃圾掩埋场使用和提高回收率的严格环境法规和政策也推动了对有效废弃物分类解决方案的需求。
机器人废弃物分类系统市场预计将以亚太地区最高的复合年增长率成长。这种快速扩张是由多种因素造成的,包括快速都市化、工业化以及中国、印度、日本和韩国等国家环境永续性意识的增强。此外,由于政府旨在提高回收率和改善废弃物管理基础设施的倡议,机器人分类系统等先进技术在该地区变得越来越受欢迎。
According to Stratistics MRC, the Global Robotic Waste Sorting System Market is accounted for $3.89 billion in 2024 and is expected to reach $12.26 billion by 2030 growing at a CAGR of 21.1% during the forecast period. Recycling procedures are being revolutionized by robotic waste sorting systems, which use cutting-edge technology to increase accuracy and efficiency. These systems automatically identify, separate, and sort various waste materials thanks to the use of sophisticated sensors, artificial intelligence, and robotic arms. They boost recycling facilities' throughput while also drastically lowering labor costs by taking the place of labor-intensive manual sorting duties. Additionally, robotic waste sorting systems help create cleaner waste streams and increased recycling rates, which eventually results in a waste management strategy that is more environmentally friendly and sustainable.
According to the National Waste & Recycling Association (NWRA), the adoption of robotic waste sorting systems has the potential to significantly enhance the efficiency and effectiveness of recycling operations, leading to improved environmental outcomes and economic benefits for the industry.
Costs and manpower shortages
The labor shortage that the waste management sector faces is a result of high employee turnover rates and a shortage of candidates for jobs involving sorting, which are frequently viewed as tedious, hazardous, and dirty. The cost of manual sorting goes up as wages rise and labor becomes scarcer, which makes robotic solutions more appealing. Robots are able to work nonstop, which greatly increases productivity and decreases reliance on human labor. Moreover, this change maintains high standards of sorting efficiency and accuracy while assisting businesses in better controlling costs.
High starting prices
Robotic waste sorting systems require a large initial outlay of funds for installation and setup. This covers the price of sophisticated robotic equipment, artificial intelligence (AI) software, sensors, and other technology components. The costs associated with incorporating these systems into the current waste management infrastructure also exist. Furthermore, municipal waste management services and small and medium-sized businesses (SMEs) frequently face challenges in obtaining the funding they require or in demonstrating a quick return on investment (ROI).
Innovation and integration of technology
The ongoing development of robotics, machine learning, and artificial intelligence (AI) offers substantial potential for improving waste sorting systems performance. Moreover, advancements in sensor technology, such as optical, infrared, and X-ray sensors, can increase the accuracy of material sorting and identification. Smarter, more effective operations may result from the integration of these technologies into the current waste management systems.
Privacy and data security issues
Large-scale data collection and analysis are required for the IoT and AI integration of robotic waste sorting systems. Data security and privacy are brought up by this. Cyber attacks, data breaches, and unauthorized access to private information can all result from system security flaws. Additionally, strong cyber security measures are necessary to safeguard data and uphold customer trust, but they also increase system development and operation complexity and costs.
The market for robotic waste sorting systems has seen mixed results from the COVID-19 pandemic. Due to lockdowns and other restrictions, it, on the one hand, caused disruptions to global supply chains and postponed the production and implementation of new systems. Conversely, the pandemic brought to light the necessity of automation in order to sustain operations in the face of labor shortages and social distancing mandates, which sparked a surge in interest and funding for robotic waste management solutions. Furthermore, driving the adoption of robotic sorting technologies is the need to reduce human contact with waste and the increased awareness of hygiene, which will position the market for growth in the post-pandemic era.
The Hardware Equipment segment is expected to be the largest during the forecast period
The market for robotic waste sorting systems is dominated by the hardware equipment segment. This section covers the mechanical parts-such as conveyor belts, robotic arms, sensors, and other parts-that are necessary for robotic sorting systems to function. The high initial costs of acquiring and implementing these cutting-edge hardware systems account for a sizeable portion of this market. Additionally, the demand and investment in this market are further supported by ongoing developments in hardware technology, such as more sophisticated sensor arrays and robust and effective robotic arms.
The Plastic Products Sorting segment is expected to have the highest CAGR during the forecast period
In the market for robotic waste sorting systems, the Plastic Products Sorting segment is anticipated to grow at the highest CAGR. The urgency of raising plastic recycling rates and the growing global awareness of plastic pollution are the main causes of this explosive growth. Robotic technology advancements like improved artificial intelligence (AI) algorithms and advanced optical sensors have greatly improved the capacity to accurately identify and sort different types of plastics. Furthermore, efficient plastic sorting solutions are becoming more and more necessary as governments and organizations enforce stricter regulations and initiatives to reduce plastic waste.
The market for robotic waste sorting systems is dominated by the North American region. The region's early adoption of cutting-edge waste management technologies and significant investments in automation are credited with this dominance. The integration of robotic sorting systems has been made easier by the existence of significant technology companies and sophisticated infrastructure in the United States and Canada. Moreover, the need for effective waste sorting solutions has also been fueled by strict environmental regulations and policies that aim to reduce landfill use and increase recycling rates.
The robotic waste sorting system market is expected to grow at the highest CAGR in the Asia-Pacific region. The swift expansion can be attributed to multiple elements, such as swift urbanization, industrialization, and growing consciousness regarding environmental sustainability in nations such as China, India, Japan, and South Korea. Furthermore, advanced technologies like robotic sorting systems are becoming more and more popular in the region owing to government initiatives aimed at boosting recycling rates and improving waste management infrastructure.
Key players in the market
Some of the key players in Robotic Waste Sorting System market include Sadako Technologies, Bulk Handling Systems, HOMAG Group, Waste Robotics Inc, AMP Robotics Corporation, ZenRobotics Ltd, Machinex Industries Inc, General Kiematics, Oregon, Bollegraaf Recycling Machinery and Tomra.
In May 2024, Canadian company Waste Robotics has partnered with artificial intelligence (AI) waste analytics company Greyparrot, based in London. At the outset of the partnership, Waste Robotics is using the Greyparrot Analyzer, an AI camera system deployed at global sorting facilities, to characterize material streams and understand the opportunities for automated robotic sorting.
In April 2021, Machinex and UK-based Sherbourne Recycling Ltd., have signed initial contracts to complete a world-leading, next generation MRF in Coventry, England. Sherbourne Recycling will oversee the project, creating new jobs for the local economy through 2022, when commissioning of the new facility begins.
In November 2020, AMP Robotics Corp. ("AMP"), a pioneer in artificial intelligence (AI) and robotics used to recover recyclables reclaimed as raw materials for the global supply chain, has signed a long-term agreement with Waste Connections, Inc. to deploy 24 AI-guided robotics systems. The deal is AMP's largest to date; Waste Connections plans to deploy the systems on container, fiber, and residue lines across numerous materials recovery facilities.