Kenya Warehousing Market is Expected to Reach over USD 700 Million by 2023: Ken Research
• In order to handle large volumes of cargo, the available areas in the ports have been converted to capacitate additional container storage areas. Such infrastructural developments at the ports are expected to enhance the customer transactions and also will speed up the process of distribution.
• Since all the CFSs at Mombasa are expected to close down due to loss of business to the SGR, congestion at the Nairobi ICD is going to get problematic for the authorities as well as logistics firms, which will in turn cause failed deliveries and customer dissatisfaction. Kenya needs to consider building more ICDs.
International Trade Agreements to Boost Foreign Trade: The bilateral and free trade agreements with various countries, along with involvement in initiatives such as COMESA, ACP and AGOA, trade is expected to improve substantially. With the African Continental Free Trade Agreement Kenya now has free access to the entire African market. As trade flourishes, the demand for warehouses in Kenya is set to increase.
Expected Boost in Perishables Sector: The Department of Livestock aims to increase the volume share of Kenya’s dairy exports in the African region, starting with West Africa and eventually South Africa, with the onset of AfCFTA. With the evergreen demand of Kenyan cut flowers in European market and other horticulture exports to China and other regions, the Bonded AC and Cold Storage segment is expected to increase in the future.
Advancement in Technology: Modern warehousing in Kenya is largely underdeveloped. However, with recent spawning of industrial parks and modern warehousing complexes, technologies such as EDI, Drones, RFID, Robots and Cloud Technology are expected to make an entry in the Kenya market. Other potential technical services include barcode scanning, warehouse truck loading automation, tablet computers for inventory, data synchronization and real time location sharing.
Analysts at Ken Research in their latest publication “Kenya Warehousing Market Outlook to 2023 – By Closed Normal, Open Yard, Closed Ac and Cold Storage; Contract and Owned Warehousing; Industrial Warehouses, ICD and Cold Storage” believe that the Freight Forwarding market in Kenya is expected to grow due to increasing foreign trade, market entry of international players and the booming horticulture industry.
For more information, refer to below link:
Key Segments Covered
• Revenue By End User
• Revenue By Type of Warehouse
• Revenue By Contract and Integrated Logistics
• Revenue By Operation Model
• Warehousing Space By Region
Others (Eldoret, Thika, Nakuru, Kiambu, Machakos and Kakamega)
Key Target Audience
• Logistics/Warehousing Companies
• E Commerce Logistics Companies
• 3PL Companies
• Consultancy Companies
• Real Estate Companies/ Industrial Developers
Time Period Captured in the Report:
• Historical Period: 2013-2018
• Forecast Period: 2019-2023
• Bollore Transport and Logistics
• DB Schenker
• Siginon Group
• Kuehne Nagel
• Agility Logistics
• Freight Forwarders Kenya
Key Topics Covered in the Report
Logistics Infrastructure in Kenya
Kenya Warehousing Market Overview
Value Chain of Kenya Warehousing Market
Kenya Warehousing Market Size
Kenya Warehousing Market Segmentation
Industry Norms and Regulations in Kenya Warehousing Market
Competitive Scenario in Kenya Warehousing Market
Company Profiles of Major Players in Kenya Warehousing Market
Kenya Warehousing Market Future Outlook and Projections
Future Technological Development in Kenya Warehousing Market
Kenya Warehousing Future Market Size
Kenya Warehousing Market Future Segmentation
Ankur Gupta, Head Marketing & Communications
Ken Research Pvt. Ltd.,
Unit 14, Tower B3, Spaze I Tech Business Park, Sohna Road, sector 49 Gurgaon, Haryana - 122001, India
Ken Research is a Global aggregator and publisher of Market intelligence, equity and economy reports. We provides business intelligence and operational advisory in 300+ verticals underscoring disruptive technologies, emerging business models with precedent analysis and success case studies.
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