市场调查报告书
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1625290
2030 年零售机器人市场预测:按产品、技术、应用、最终用户和地区进行的全球分析Retail Robotics Market Forecasts to 2030 - Global Analysis By Product (Mobile Robots, Stationary Robots and Semi-Autonomous Robots), Technology, Application, End User and By Geography |
根据Stratistics MRC预测,2024年全球零售机器人市场规模将达188亿美元,预计2030年将达到1,114亿美元,预测期内复合年增长率为34.5%。
零售机器人技术是在零售业中使用机器人技术来提高效率、客户体验和业务优化。任务包括库存管理、货架扫描、产品推荐和客户服务。配备感测器和人工智慧的机器人可以在无人商店中自主移动,检测存量基准,识别错放的物品,并协助补货。我们还可以提供个人化的购物体验或协助清洁和维护任务。随着技术的进步,零售机器人有望塑造零售业的未来,简化流程并改善客户体验。
最低工资上涨和劳动力萎缩
最低工资上涨和劳动力短缺正在推高零售公司的人事费用。机器人可以透过自动执行清洁、库存检查和补货等繁琐的任务来降低这些成本。机器人正在成为在劳动力不断减少的情况下维持商店运营的理想替代方案,自动化库存管理、盘点和客户服务等功能,以填补空白,并在劳动力减少的情况下保持商店运营,这可能有助于商店继续运营。
整合挑战与人员流动问题
零售环境通常使用与现代机器人技术不相容的过时技术,使得整合变得困难且耗时。由于潜在的投资回报率问题或昂贵的基础设施变更,公司可能会放弃使用机器人。整合过程也可能需要暂时中断现有业务、员工培训和程序变更。如果在此转型期间业务效率和生产力下降,零售公司可能会在引入机器人时三思而后行。
基础设施有限,需要提高效率和生产力
零售公司越来越多地寻求低成本的机器人解决方案,无需重大基础设施升级即可优化生产力。机器人供应商正在开发经济实惠且灵活的系统,无需进行重大升级即可优化生产力。因此,透过采用资源效率更高的机器人,例如消耗更少电力或依赖边缘运算的机器人,零售商可以克服基础设施障碍并获得急需的效率提升,我们正在鼓励市场进一步成长。
人们对隐私和安全的担忧日益增加
零售机器人系统通常会收集大量资料,包括消费者行为、购买历史记录,在某些情况下还会收集生物识别资料(例如脸部辨识)。因此,消费者越来越担心他们的资料如何被使用以及资料是否会在资料外洩中洩露。消费者对其个人资讯隐私缺乏信心可能导致不愿部署自助结帐亭和人工智慧驱动的客户服务机器人等机器人系统。这种犹豫可能会减缓零售机器人的采用。
COVID-19 的影响
COVID-19 大流行加速了零售机器人的采用。机器人越来越多地用于库存管理、清洁和非接触式客户服务等业务。虽然疫情最初扰乱了供应链,但最终凸显了机器人在增强零售业弹性和推动创新的重要性。
移动机器人产业预计将在预测期内成为最大的产业
预计移动机器人将在预测期内占据最大的市场占有率,因为它们可以自动化零售业的库存管理和产品移动等重复性任务,从而释放人力,专注于更高附加价值的任务。它还可以透过填补日常任务的空白,减少对清洁、扫描货架和运输产品等任务对人力资源的依赖来消除劳动力短缺。这可以节省成本,特别是对于管理大量劳动力的大型零售商而言。
预计机器人流程自动化领域在预测期内将经历最高的复合年增长率
由于资料输入、订单处理、库存管理和财务对帐等后勤部门业务的自动化,预计机器人流程自动化领域将在预测期内出现良好的成长。这可透过减少手动资料处理和错误来提高效率。 RPA 可以在存量基准较低时产生采购订单,使机器人能够专注于实体任务。它还可以处理申请处理、采购订单和付款确认等重复性任务,使零售商能够专注于为客户服务。
在预测期内,北美地区将成为最大的市场占有率。北美政府认识到机器人和自动化在提高生产力和经济成长方面的潜力。在美国,政府对投资自动化和机器人技术的公司的支持对于推动该地区零售机器人的采用至关重要。
预计亚太地区在预测期内的复合年增长率最高。这是因为日本和韩国等国家以其先进的机器人技术而闻名,并且越来越多地应用于零售业。在中国和印度,无人机用于最后一英里的交付,特别是小型和轻型包裹。这些无人机提供了更快、更具成本效益的解决方案,特别是在传统车辆可能因交通拥堵而延误的都市区。
According to Stratistics MRC, the Global Retail Robotics Market is accounted for $18.8 billion in 2024 and is expected to reach $111.4 billion by 2030 growing at a CAGR of 34.5% during the forecast period. Retail robotics is the use of robotic technology in retail to enhance efficiency, customer experience, and operational optimization. It involves tasks like inventory management, shelf scanning, product recommendations, and customer service. Robots with sensors and AI can autonomously navigate stores, detect stock levels, identify misplaced items, and assist with restocking. They can also provide personalized shopping experiences and assist with cleaning and maintenance tasks. As technology advances, retail robotics is expected to shape the future of retail, streamlining processes, and improving customer experiences.
Increasing minimum wages and a shrinking labour pool
Rising minimum salaries and workforce shortages are driving up labor expenses for retailers. By automating monotonous jobs like cleaning, inventory checks, and restocking, robots can help defray these expenses. Robotics is becoming a desirable substitute to keep things running as the labor pool gets smaller and may fill the gap and aid stores in continuing to operate even with a less workforce by automating functions like inventory management, shelf stocking, and customer service.
Integration challenges & concerns over job displacement
Retail settings often use outdated technology that may not work with modern robotics, making integration challenging and time-consuming. Businesses may be discouraged from using robots due to potential ROI concerns and costly infrastructure changes. The integration process may also cause temporary interruptions in existing activities, employee training, and modifications to procedures. Retailers may be deterred from implementing robotics if operational efficiency and productivity decline during this transitional phase.
Limited infrastructure & need for enhanced efficiency and productivity
Retailers are increasingly seeking low-cost robotics solutions to optimize productivity without significant infrastructure upgrades. Robotics vendors are developing affordable, flexible systems that optimize productivity without significant upgrades. Thus as retailers adopt resource-efficient robots, such as those requiring less power or relying on edge computing, they overcome infrastructure barriers and provide the necessary efficiency gains, encouraging further market growth.
Rising concerns about privacy and security
Retail robotics systems often collect vast amounts of data, including consumer behavior, purchase history, and even biometric data in some cases (e.g., facial recognition). This raises fears among consumers about how their data is being used and whether it could be exposed in a data breach. A lack of consumer confidence in the privacy of their personal information can lead to reluctance in adopting robotic systems like self-checkout kiosks or AI-powered customer service bots. This hesitation can slow the widespread adoption of robotics in retail.
Covid-19 Impact
The COVID-19 pandemic accelerated the adoption of retail robotics as businesses sought to reduce human interaction and ensure safer, more efficient operations. Robots were increasingly used for tasks like inventory management, cleaning, and contactless customer service. While the pandemic initially disrupted supply chains, it ultimately highlighted the importance of robotics in enhancing resilience and driving innovation in the retail sector.
The mobile robots segment is expected to be the largest during the forecast period
The mobile robots segment is predicted to secure the largest market share throughout the forecast period because mobile robots automate repetitive tasks in retail, such as inventory management and product movement, freeing human workers to focus on value-added activities. They also help mitigate labour shortages by filling gaps in routine tasks, reducing dependency on human labour for cleaning, shelf scanning, and product transportation. This results in cost savings, especially for large retailers managing extensive labour forces.
The robotics process automation segment is expected to have the highest CAGR during the forecast period
The robotics process automation segment is expected to register lucrative growth during the estimation period owing to automated back-office tasks like data entry, order processing, inventory management, and financial reconciliation. This reduces manual data handling, errors, and increases efficiency. RPA can generate purchase orders when inventory levels drop, allowing robots to focus on physical tasks. It also handles repetitive tasks like invoice processing, purchase orders, and payment verifications, allowing retailers to focus on customer-facing activities.
During the estimation period, the North America region is expected to capture the largest market share owing to AI, machine learning, and computer vision technologies that are transforming robots into more efficient and smarter tools for tasks like inventory management and customer assistance. North American governments are recognizing the potential of robotics and automation to boost productivity and economic growth. In the US, government support for companies investing in automation and robotics technologies is crucial for driving retail robotics adoption in the region.
Over the forecasted timeframe, the Asia Pacific region is anticipated to exhibit the highest CAGR due to countries like Japan and South Korea are renowned for their advanced robotics technology, which is increasingly used in retail. In China and India, drones are being explored for last-mile delivery, particularly for small, lightweight packages. These drones offer a faster, more cost-effective solution, especially in urban areas where traffic congestion can delay traditional vehicles.
Key players in the market
Some of the key players in Retail Robotics market include ABB Robotics, Addverb Technologies, Aethon , Alphabet Inc. , Amazon Robotics, Bastian Solutions, Inc., Bossa Nova, Daifuku Co., Ltd, Fetch Robotics, Inc., Grey Orange, Honda Motor Co. Limited, Locus Robotics, Onewell Intelligrated, Savioke, Siemens, Simbe Robotics, Softbank Robotics and Universal Robots A/S.
In December 2024, ABB Robotics has opened a new training and showroom facility for its Autonomous Mobile Robotics product line (AMRs) in Madrid, Spain. Designed to meet the growing demand for skilled professionals in the rapidly expanding AMR market, the center offers a learning environment and platform.
In October 2024, SoftBank extended its largest single site deployment of autonomous robots in the US with flagship facility services. This has allowed Flagship access to SBRA's industry-leading technology solutions portfolio, along with its renowned enterprise adoption program.
In May 2024, MongoDB and Google Cloud collaborated to optimize gemini code assist for developers building applications on MongoDB. Through this collaboration, Gemini Code Assist can help developers get answers and information about MongoDB code, documentation, and best practices.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.