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The safe, reliable loading and unloading of trailers as well as the transportation of work-in-process are provided to simplify operations. A company will function lean and efficiently if it uses the consumer goods AGVs.
Labour costs are reduced. Product damage is decreased. It has improved performance. There is more freedom in how it operates. Its material tracking is more accurate. The safety has increased.
The Global Consumer Goods AGV market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
The market is probably going to pick up steam as logistics and transportation companies use AGVs to increase operational effectiveness. The manufacturing, logistics, food and beverage, and healthcare industries will continue to offer more opportunities for applications, which will benefit the industry.
The demand for autonomous guided vehicles in the oil and gas, transportation, and construction industries is also being driven by the global trend towards increased industrialization. Consequently, it is anticipated that during the evaluation period, the market’s sales outlook would take on this shape.
The market’s expansion is being aided by the AGVs’ capacity to function in challenging climatic circumstances. The e-commerce sector’s rise is expected to fuel a major increase in demand for automated guided vehicles during the ensuing years.
AGVs are equipped with laser navigation technology, which has made them widely sought-after for the transportation of raw materials across a range of industries.
The need can be linked to security, adaptability, and dependability, as well as accurate navigation provided by automated guided vehicles. The U.S. market’s growth prospects are projected to continue favourable due to increased investment in R&D, notably in the area of robotics and automation.
AGV sales are on the rise as a result of growing urbanisation and the expansion of important sectors including construction, logistics, and the car industry. Over the next few years, as artificial intelligence, robotics, and machine learning are integrated into AGVs, demand will rise as a result.
