輸配送管理システム (TMS) および物流革命
Transportation Management Systems and the Logistics Evolution
|出版日||ページ情報||英文 32 Pages, 4 Charts, 16 Figures
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|輸配送管理システム (TMS) および物流革命 Transportation Management Systems and the Logistics Evolution|
|出版日: 2018年08月15日||ページ情報: 英文 32 Pages, 4 Charts, 16 Figures||
世界における輸配送管理システム (TMS) の収益は、今年の128億米ドルから2023年までに250億米ドル以上へ拡大すると予測されています。
当レポートでは、世界の輸配送管理システム (TMS) 市場について調査し、TMSのソリューション、技術、促進要因と阻害要因、およびエコシステムなどについて分析しており、主要企業のプロファイル、およびサプライチェーンへの影響などをまとめています。
Transportation is a foundational, often manual, and expensive element of the supply chain. Continued complexity from regulation, taxes, staffing and e-commerce expectations will continue to challenge companies across the globe. Transportation Management Systems (TMS) have been present as a part of Supply Chain Management (SCM) for years and are used across many market verticals, including retail, automotive, pharmaceuticals, and food products.
TMS market is a strategic enabler of the supply chain, with numerous established companies eyeing potential acquisitions to bolster cloud, geographic, and modal coverage. This creates a significant opportunity over the next five years to use cloud platforms to level the playing field for Small- to Medium-Sized Businesses (SMBs) as well as diversify and extend businesses initially built for Enterprise Resource Planning (ERP), SCM, and telematics markets.TMS revenues are expected to reach at least US$12.8 billion globally this year, growing to over US$25 billion by 2023, fueled by the need to reduce transportation costs by up to 10% and reduce monitoring time by up to 50%, as well as find alternatives to rapidly increasing spot market pricing.
A further shift away from on-premise, high-investment, and lengthy training/upgrade cycles will continue to ramp toward cloud-based, scalable “as-a-service” models, with cloud-hosted platforms expected to begin to pass those of on-premise adoption by next year.
TMS will need to incorporate continued advancements in technology, including advancements in transport mode evolution; recent developments in software, such as predictive analytics and machine learning; and changes in the concept of manufacturing, such as 3-D printing. Additional technologies for consideration include linkage to autonomous vehicles, blockchain, and delivery drones.