GCC AI in Logistics Market (Offerings - Software, and Services; Technology - Machine Learning, Natural Language Processing (NLP), Computer Vision, and Others; Application - Asset Tracking and Management, Logistics and Supply Chain Management, Fleet Management, Warehouse Management, and Others; End-user - Oil and Gas, Retail, Healthcare, Manufacturing, Chemical, and Others): Industry Analysis, Trends, Size, Share and Forecasts to 2028

A recent report ongoing study by Infinium Global Research on the AI in logistics market provides an in-depth analysis of segments and sub-segments in the GCC as well as regional AI in logistics market. The study also highlights the impact of drivers, restraints, and macro indicators on the GCC and regional AI in logistics market over the short term as well as long term. The report is a comprehensive presentation of trends, forecasts, and dollar values of the GCC AI in logistics market. The GCC AI in logistics market was valued at about USD 77 million in 2022 and is expected to reach up to nearly USD 537 million by 2028, with a CAGR of over 38% over the forecast period.

Market Insight

In the modern world, Artificial Intelligence (AI) is one of the most revolutionary technologies. By increasing efficiency and maximizing resource utilization the benefits of AI are increasing. In logistics also, AI has made its way, where it can provide benefits to businesses and also enable them to enhance and develop new technology. It's no surprise that techs like Amazon and Google have begun to invest in AI. Numerous crucial processes in logistics can be sped up and made simpler with artificial intelligence. Therefore, increasing the utilization of AI by the e-commerce industry to increase the communication between delivery partners and customers is majorly supporting the growth of the market.

Rising awareness and investment in AI systems in logistics drive the growth of the market. Governments and businesses across the GCC are beginning to realize the shift towards AI in logistics and advanced technologies which boosts the growth of the market. Additionally, another driving factor that boosts the growth of AI in logistics is the use of AI-driven data analytics, organizations can account for variables such as fleet maintenance schedules, vehicle sensors, adverse weather, and fuel costs. The high costs of this artificial installation hamper the growth of the market. Every new technological advancement comes up with many new additional technologies which need extra costs this factor can hinder the growth of the market. The logistics sector is complex and multilayered, requiring the ability to plan, be resilient, and be flexible. However, with the right platform, automation of logistical work processes can enable production operations to be decentralized to cheaper areas, improve customer satisfaction, control costs, and reduce staff requirements as well. With this, the benefits such as on-time delivery and accurate inventory management create growth opportunities for AI in the logistics market.

Saudi Arabia has rapidly grown its logistics sector and is now working to position itself as a global logistics powerhouse. In 2020, the country’s logistics industry accounted significant share of logistics in the Gulf Cooperation Council (GCC) market. In coming years, the AI logistical demand is still expected to increase, the Saudi Arabia seeks to remain proactive by addressing issues through accelerated digitalization. Specifically, the KSA will seek to overcome these challenges through the promotion, application, and industry-wide adoption of digital solutions in AI logistical processes. In Saudi Arabia logistics companies become increasingly aware of the potential benefits that digitalizing operations have to offer, some companies have already embraced the shift to innovate and digitalize logistics operations with Artificial Intelligence.

Report Scope of the AI in Logistics Market:

Segment Covered

The report on GCC AI in logistics market covers segments such as offerings, technology, application, and end-user. On the basis of offerings, the sub-markets include software, and services. On the basis of technology, the sub-markets include machine learning, natural language processing (nlp), computer vision, and others. On the basis of application, the sub-markets include asset tracking and management, logistics and supply chain management, fleet management, warehouse management, and others. On the basis of end-user, the sub-markets include oil and gas, retail, healthcare, manufacturing, chemical, and others.

Companies Profiled:

The report provides profiles of the companies in the market such as IBM Corporation, Intel Corporation, Amazon.com, Inc., Alphabet Inc., Microsoft Corporation, Oracle Corporation, NVIDIA Corporation, Transportation Applied Intelligence, LLC, Yojee, and Pluto7.

Report Highlights:

The report provides deep insights into demand forecasts, market trends, and micro and macro indicators. In addition, this report provides insights into the factors that are driving and restraining the growth in this market. Moreover, The IGR-Growth Matrix analysis given in the report brings an insight into the investment areas that existing or new market players can consider. The report provides insights into the market using analytical tools such as Porter's five forces analysis and DRO analysis of the AI in logistics market. Moreover, the study highlights current market trends and provides forecasts from 2022-2028. We also have highlighted future trends in the market that will affect the demand during the forecast period. Moreover, the competitive analysis given in each regional market brings an insight into the market share of the leading players.