Warehouse robotics is the term used to describe robotics utilized in warehouse operations, such as picking, sorting, packing, and transportation. These robots could be service or industrial robots. By eliminating physical work, these self-governing machines aim to increase warehouse productivity. Recent advances in robotics and warehouse automation have led to a growing demand for heavy lifting and carrying jobs to be performed by robots such as articulated arms, automated guided vehicles (AGVs), and autonomous mobile robots (AMRs). The growth of robotics in warehouses is being further propelled by large investments by e-commerce companies.
Middle East and Africa Warehouse Robotics Market Driving Factors and Challenges
Drivers:
The need for robots will rise with increased commerce volume in both durable and non-durable goods. The epidemic has caused the market to expand, a tendency that has been further supported by the rise in online buying. The exponential increase in online consumer behaviour has improved heavy cargo handling in warehouses. Rising demand for a wide range of commodities, changing young demographics in many countries, and changing customer buying behaviour have all led to a demand for faster product handling solutions with lower operating costs. Demand for such sturdy and semi-durable items, together with the need for autonomous cold storage, third-party transportation, and warehouses, are driving rising demand for robots across numerous industries.
Challenges:
High starting costs that will temporarily obstruct market expansion. Although they reduce overall operating expenses over time, the initial investment in robots and other gear in warehouses can be costly. This could limit the market for these systems. The continuous maintenance expenses linked to robots and software could potentially hinder the necessity of robotics in warehouses. Human workers are capable of exercising the flexibility and critical thinking necessary for handling warehouse products, whereas robots are incapable of adapting to unanticipated events. These factors might make warehouse robotics challenging.
Impact of COVID-19 on Middle East and Africa Warehouse Robotics Market
Automation and robotics have already proven crucial in managing the Covid-19 pandemic as it is spreading. Additionally, new market prospects will most likely arise as a result of the conditions. In addition, a lot of businesses and retail establishments were forced to employ online delivery services as a result of the COVID-19 outbreak, which boosted automation requirements. The pandemic spread quickly over several countries, which also helped to fuel an expansion in the e-commerce sector because end users preferred online buying to traditional brick-and-mortar stores.
Middle East and Africa Warehouse Robotics Market Key Players:
The market study provides market data by competitive landscape, revenue analysis, market segments and detailed analysis of key market players are; Fanuc Corporation, Grey Orange Pte. Ltd, Honeywell International Inc., Kuka AG, Limited, Singapore Technologies Engineering Ltd, Syrius Robotics, Toshiba Corporation, Yaskawa Electric Corporation, Others.
Middle East and Africa Warehouse Robotics Market Segmentation:
By Type: Based on the Type, Middle East and Africa Warehouse Robotics Market is segmented as; Industrial Robots, Sortation System, Conveyors, Palletizars, Automated Storage and Retrieval System, Mobile Robots.
By Function: Based on the Function, Middle East and Africa Warehouse Robotics Market is segmented as; Storage, Packaging, Trans Shipments, Others.
By End user: Based on the End user, Middle East and Africa Warehouse Robotics Market is segmented as; Food and Beverage, Automotive, Retail, Electrical and Electronics, Pharmaceutical, Others.
By Region: This research also includes data for Saudi Arabia, Africa, United Arab Emirates, Rest of middle East and Africa.
This study also encompasses various drivers and restraining factors of this market for the forecast period. Various growth opportunities are also discussed in the report.