市場調查報告書
商品編碼
1625290
2030 年零售機器人市場預測:按產品、技術、應用、最終用戶和地區進行的全球分析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 |
根據Stratistics MRC預測,2024年全球零售機器人市場規模將達188億美元,預計2030年將達到1,114億美元,預測期內複合年成長率為34.5%。
零售機器人技術是在零售業中使用機器人技術來提高效率、客戶體驗和業務最佳化。任務包括庫存管理、貨架掃描、產品推薦和客戶服務。配備感測器和人工智慧的機器人可以在無人商店中自主移動,檢測存量基準,識別錯放的物品,並協助補貨。我們還可以提供個人化的購物體驗或協助清潔和維護任務。隨著技術的進步,零售機器人有望塑造零售業的未來,簡化流程並改善客戶體驗。
最低工資上漲和勞動力萎縮
最低工資上漲和勞動力短缺正在推高零售公司的人事費用。機器人可以透過自動執行清潔、庫存檢查和補貨等繁瑣的任務來降低這些成本。機器人正在成為在勞動力不斷減少的情況下維持商店營運的理想替代方案,自動化庫存管理、盤點和客戶服務等功能,以填補空白,並在勞動力減少的情況下保持商店營運,這可能有助於商店繼續營運。
整合挑戰與人員流動問題
零售環境通常使用與現代機器人技術不相容的過時技術,使得整合變得困難且耗時。由於潛在的投資回報率問題或昂貴的基礎設施變更,公司可能會放棄使用機器人。整合過程也可能需要暫時中斷現有業務、員工培訓和程序變更。如果在此轉型期間業務效率和生產力下降,零售公司可能會在引入機器人時三思而後行。
基礎設施有限,需要提高效率和生產力
零售公司擴大尋求低成本的機器人解決方案,無需重大基礎設施升級即可最佳化生產力。機器人供應商正在開發經濟實惠且靈活的系統,無需進行重大升級即可最佳化生產力。因此,透過採用資源效率更高的機器人,例如消耗更少電力或依賴邊緣運算的機器人,零售商可以克服基礎設施障礙並獲得急需的效率提升,我們正在鼓勵市場進一步成長。
人們對隱私和安全的擔憂日益增加
零售機器人系統通常會收集大量資料,包括消費者行為、購買歷史記錄,在某些情況下還會收集生物識別資料(例如臉部辨識)。因此,消費者越來越擔心他們的資料如何被使用以及資料是否會在資料外洩中洩露。消費者對其個人資訊隱私缺乏信心可能導致不願部署自助結帳亭和人工智慧驅動的客戶服務機器人等機器人系統。這種猶豫可能會減緩零售機器人的採用。
COVID-19 的影響
COVID-19 大流行加速了零售機器人的採用。機器人擴大用於庫存管理、清潔和非接觸式客戶服務等業務。雖然疫情最初擾亂了供應鏈,但最終凸顯了機器人在增強零售業彈性和推動創新的重要性。
移動機器人產業預計將在預測期內成為最大的產業
預計移動機器人將在預測期內佔據最大的市場佔有率,因為它們可以自動化零售業的庫存管理和產品移動等重複性任務,從而釋放人力,專注於更高附加價值的任務。它還可以透過填補日常任務的空白,減少對清潔、掃描貨架和運輸產品等任務對人力資源的依賴來消除勞動力短缺。這可以節省成本,特別是對於管理大量勞動力的大型零售商而言。
預計機器人流程自動化領域在預測期內將經歷最高的複合年成長率
由於資料輸入、訂單處理、庫存管理和財務對帳等後勤部門業務的自動化,預計機器人流程自動化領域將在預測期內出現良好的成長。這可透過減少手動資料處理和錯誤來提高效率。 RPA 可以在存量基準較低時產生採購訂單,使機器人能夠專注於實體任務。它還可以處理申請處理、採購訂單和付款確認等重複性任務,使零售商能夠專注於為客戶服務。
在預測期內,北美地區將成為最大的市場佔有率。北美政府認知到機器人和自動化在提高生產力和經濟成長方面的潛力。在美國,政府對投資自動化和機器人技術的公司的支持對於推動該地區零售機器人的採用至關重要。
預計亞太地區在預測期內的複合年成長率最高。這是因為日本和韓國等國家以其先進的機器人技術而聞名,並且擴大應用於零售業。在中國和印度,無人機用於最後一英里的交付,特別是小型和輕型包裹。這些無人機提供了更快、更具成本效益的解決方案,特別是在傳統車輛可能因交通堵塞而延誤的都市區。
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.