Supply Chain Management Software - D-A-CH

  • D-A-CH
  • The projected revenue in the Supply Chain Management Software market for the country in D-A-CH is expected to reach US$1.30bn by 2025.
  • This indicates a significant growth potential in the market.
  • Furthermore, it is anticipated that the revenue will exhibit a steady annual growth rate (CAGR 2025-2029) of 2.41%, resulting in a market volume of US$1.43bn by 2029.
  • When examining the average Spend per Employee in the Supply Chain Management Software market, it is projected to reach US$23.20 in 2025.
  • This metric provides insights into the financial investment made by companies in this sector to enhance their supply chain operations.
  • However, in a global context, United States is expected to generate the highest revenue in the Supply Chain Management Software market, reaching a staggering US$11,320.00m in 2025.
  • This highlights the dominant position of the United States in this market segment.
  • Germany is leading the way in Supply Chain Management Software, with a strong focus on efficiency and automation.

Key regions: Netherlands, Germany, Australia, Canada, France

 
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Analyst Opinion

The Supply Chain Management Software market in D-A-CH has been steadily growing in recent years.

Customer preferences:
Customers in D-A-CH are increasingly looking for software solutions that can help them optimize their supply chain operations, reduce costs, and improve efficiency. They are also looking for software that can integrate with other systems, such as ERP and CRM, to provide a complete view of their operations. Additionally, customers are placing a greater emphasis on sustainability and are looking for software solutions that can help them reduce their carbon footprint and improve their social responsibility.

Trends in the market:
One of the major trends in the Supply Chain Management Software market in D-A-CH is the increasing adoption of cloud-based solutions. Cloud-based solutions offer several advantages over traditional on-premise solutions, including lower upfront costs, greater scalability, and easier integration with other systems. Another trend in the market is the growing use of artificial intelligence and machine learning to optimize supply chain operations. These technologies can help companies identify inefficiencies and optimize their operations in real-time.

Local special circumstances:
Germany is the largest market for Supply Chain Management Software in D-A-CH, accounting for over half of the market. The country has a strong manufacturing sector and a highly developed logistics infrastructure, which has driven demand for supply chain management software. Switzerland and Austria have smaller markets, but they have also seen steady growth in recent years. Switzerland has a highly developed financial sector, which has driven demand for supply chain finance software, while Austria has a strong retail sector, which has driven demand for supply chain visibility software.

Underlying macroeconomic factors:
The growth of the Supply Chain Management Software market in D-A-CH is being driven by several macroeconomic factors. The region has a highly developed economy and a strong manufacturing sector, which has driven demand for supply chain management software. Additionally, the region has a highly skilled workforce and a strong tradition of innovation, which has led to the development of cutting-edge supply chain management software solutions. Finally, the region has a highly developed logistics infrastructure, which has made it an attractive location for companies looking to optimize their supply chain operations.

Methodology

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.

Overview

  • Revenue
  • Key Players
  • Analyst Opinion
  • Global Comparison
  • Methodology
  • Key Market Indicators
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