Contact
![Contact Meredith Alda](https://cdn.statcdn.com/contactPerson/3646.jpg)
Mon - Fri, 9am - 6pm (EST)
![Contact Yolanda Mega](https://cdn.statcdn.com/contactPerson/3195.jpg)
Mon - Fri, 9am - 5pm (SGT)
![Contact Kisara Mizuno](https://cdn.statcdn.com/contactPerson/2661.jpg)
Mon - Fri, 10:00am - 6:00pm (JST)
![Contact Lodovica Biagi](https://cdn.statcdn.com/contactPerson/863.jpg)
Mon - Fri, 9:30am - 5pm (GMT)
![Contact Carolina Dulin](https://cdn.statcdn.com/contactPerson/3012.jpg)
Mon - Fri, 9am - 6pm (EST)
Key regions: Netherlands, Germany, Australia, Canada, France
The Supply Chain Management Software market in EU-27 has been rapidly growing in recent years.
Customer preferences: The increasing demand for end-to-end supply chain visibility and transparency has been a major driver of this growth. Customers are increasingly looking for solutions that can provide real-time tracking of products, inventory, and shipments across the entire supply chain network. Additionally, the need for cost optimization and operational efficiency has led to a growing demand for software solutions that can automate and streamline various supply chain processes.
Trends in the market: One of the key trends in the Supply Chain Management Software market in EU-27 is the adoption of cloud-based solutions. Cloud-based solutions offer several advantages over traditional on-premise software, including lower upfront costs, scalability, and ease of implementation. This has led to a growing number of companies in the region shifting towards cloud-based solutions for their supply chain management needs. Another trend in the market is the increasing use of artificial intelligence (AI) and machine learning (ML) in supply chain management software. These technologies can help companies optimize their supply chain operations by providing real-time insights and predictive analytics. This can help companies make better decisions and improve their overall supply chain performance.
Local special circumstances: While the overall trends in the Supply Chain Management Software market in EU-27 are similar across the region, there are some local special circumstances that are worth noting. For example, in countries with large manufacturing sectors, such as Germany, there is a growing demand for software solutions that can help manage complex manufacturing supply chains. On the other hand, countries with large retail sectors, such as the UK, are more focused on solutions that can help manage inventory and improve supply chain visibility.
Underlying macroeconomic factors: The growth of the Supply Chain Management Software market in EU-27 is also being driven by several underlying macroeconomic factors. For example, the region's strong economic growth and high levels of international trade have led to an increased need for efficient and effective supply chain management solutions. Additionally, the increasing adoption of e-commerce and the rise of online marketplaces have also contributed to the growth of the market, as companies look for ways to manage their supply chains more effectively in the digital age.Overall, the Supply Chain Management Software market in EU-27 is expected to continue growing in the coming years, driven by the increasing demand for end-to-end supply chain visibility, the adoption of cloud-based solutions, and the use of AI and ML in supply chain management software.
Data coverage:
The data encompasses B2B, B2G, and B2C enterprises. Figures are based on the allocation to the country where the money was spent at manufacturer price level (excluding VAT).Modeling approach / Market size:
The segment size is determined through a top-down approach. We use financial statements such as annual reports, quarterly earnings, and expert opinions to analyze the markets. To estimate the segment size for each country individually, we use relevant key market indicators and data from country-specific industry associations such as GDP, level of digitization, GDP sector composition, and observed level of software piracy.Forecasts:
We use a variety of forecasting techniques, for instance, advanced statistical methods, depending on the behavior of the relevant segment. The main drivers are the GDP and the level of digitization.Additional notes:
The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic is considered at a country-specific level.Mon - Fri, 9am - 6pm (EST)
Mon - Fri, 9am - 5pm (SGT)
Mon - Fri, 10:00am - 6:00pm (JST)
Mon - Fri, 9:30am - 5pm (GMT)
Mon - Fri, 9am - 6pm (EST)