Cloud Supply Chain Management (SCM) Software Market Status, Analysis and Business Outlook 2019-2023

Cloud Supply Chain Management (SCM) Software Market Status, Analysis and Business Outlook 2019-2023

Cloud Supply Chain Management (SCM) Software Market
WiseGuyReports.Com Publish a New Market Research Report On –“ Cloud Supply Chain Management (SCM) Software Market Status, Analysis and Business Outlook 2019-2023”.

 

Cloud Supply Chain Management (SCM) Software Market 2019

Description: –

Cloud supply chain management software and its applications are using supply chain management nowadays for scaling operations whether it is small businesses or complex ventures. This software solution is indicating considerable improvements in implementation and it will not have one in place that makes an outlier.

 

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Listed Key Players

SAP, Oracle, JDA Software, Epicor, Manhattan Associates, Descartes Systems Group, HighJump Software, IBM, and Kewill Systems.

Cloud technology has come into the limelight for more than 20 years, but supply chain professionals are still not sure to adopt cloud technology and migrate their systems on it. However, the industry is in its initial stage, cloud computing software will surely help managers of the supply chain to closely keep a track of a product all over its lifecycle. A supply chain management (SCM) system is a software solution that regulates and organizes the flow of data, goods, and finances as a service or product moves from origin point to its final destination.

Cloud-based SCM will considerably reduce the production cost because it will discover the shipment during any transportation stage. Change in the supply chain environment, cloud computing will turn into an advantageous process and will also gain more market attraction over the traditional systems. While traditional Supply Chain Management is more transactional, the cloud computing approach proposes 360-degree control as well as real-time monitoring. Cloud-based Supply Chain Management offers reliability, scalability, integrated design, cost-effective, and immediacy over the localized model of SCM.     

Market Segmentation

The research study highlights that the segmentation of the cloud supply chain management market is based on services, solutions, organization sizes, deployment models, verticals, and regions. The market segmentation based on deployment model includes on-premise and cloud-based. Based on user type, the market categorized into large enterprises and small & medium sized enterprises (SMEs). Based on industry vertical, the market segmentation includes healthcare & pharmaceuticals, consumer goods, transportation & logistics, manufacturing, retail, food & beverages, and many more.

Regional Analysis

The report on Cloud Supply Chain Management (SCM) Software Market highlights that as expected, North America had the largest share in the market in the year 2017 and can maintain the same by the end of 2023. Asia Pacific is also expecting to grow it’s market at the highest CAGR over the forecast period because of the growing awareness of cloud-based SCM among industries, especially SMEs. The Cloud Supply Chain Management (SCM) Software market segmented based on regional aspect includes North America, APAC, Europe, and LAMEA.

Competitive Landscape

Factors such as an increase in the need for the infrastructure management systems and migration of workload to a cloud computing model will raise the revenue of the market. The cloud SCM offered to the customers through different models such as private, public, and hybrid models. Cloud SCM is offering capabilities, such as order management, demand management, transport management, and many more. The inventory & warehouse management sector is predicted to increase at the highest CAGR in the forecast period whereas the training & consulting sector is anticipated to have the largest share in the cloud SCM market in the year 2016. 

 

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Table of Contents – Major Key Points

1 Industry Outlook

2 Report Outline

3 Market Snapshot

4 Market Outlook

5 Market Characteristics

6 Types: Market Size and Analysis

7 Deployment Model: Market Size and Analysis

8 End-users: Market Size and Analysis

Continued….

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