Fairfield Market Research notes that the global logistics robot market stood at a valuation of US$807.2 million in 2017. This figure is expected to grow at a promising CAGR of 23.7% during the forecast period, reaching a total valuation of US$12,739.1 million by 2025. This growth indicates that the global logistics robot market is expected to expand at a promising rate in the coming years, propelling key market players to pursue strategic partnerships and open innovation.
Recent innovations in the network and communications industry, coupled with an increase in the adoption of AI and ML applications, have accelerated digital transformations across supply chains. Such developments are enabling prominent industry players to improve operational efficiency, enhance visibility, unlock savings, and employ automation for repetitive tasks. Against this backdrop, supply chain operations in next-gen organizations are being reshaped along the intelligent curve with the help of advanced logistics robots. These robots aid in enhancing the supply chain’s efficiency and ensuring greater worker safety. Moreover, they have longer operating windows as compared to human workers. As a result, the demand for advanced logistics robots is poised to witness a substantial increase. All these developments, along with pursuit of robust R&D and M&A endeavors by leading market players, are set to unlock promising business outcomes in global logistics robot market in the foreseeable future.
𝐆𝐞𝐭 𝐅𝐮𝐥𝐥 𝐏𝐃𝐅 𝐒𝐚𝐦𝐩𝐥𝐞 𝐂𝐨𝐩𝐲 𝐨𝐟 𝐑𝐞𝐩𝐨𝐫𝐭: https://www.fairfieldmarketresearch.com/report/logistics-robot-market/request-sample undefinedundefinedundefinedundefinedundefinedundefinedundefinedundefinedundefinedundefinedundefinedundefinedundefinedundefinedundefinedundefinedundefinedundefinedundefinedundefinedundefinedundefinedundefinedundefinedundefinedundefinedundefined
Sophisticated AI Integration Set to Exponentially Widen Scope of Logistics Robot Market
The complexity in modern supply chains necessitates the adoption of advanced warehousing and storage solutions to achieve desired financial results. On account of this, AI, machine learning, cloud, and computer vision technologies are being integrated to widen the scope of logistics robots’ operations. Computer vision is allowing logistics robots to read item details and tags to perform tasks without human intervention. Efforts are being made to equip logistics robots with the capability to perform quality control tasks, eliminating the need for human supervision. Further, sophisticated technologies such as advanced optics, edge computing, swarm navigation, and collision detection and control are projected to greatly enhance the ability of logistics robots to function independently. The diverse end-use applications of advanced technologies and their direct business value are expected to boost the economic viability of logistics robots, creating strong momentum for the expansion of the global logistics robot market.
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