Market Insights Technology Software Enterprise Software

Supply Chain Management Software - United States

United States

The projected revenue in the Supply Chain Management Software market in the United States is expected to reach €10.11bn by 2024.
It is also expected to show an annual growth rate (CAGR 2024-2029) of 3.93%, resulting in a market volume of €12.26bn by 2029.
In 2024, the average Spend per Employee in the Supply Chain Management Software market is projected to reach €58.32.
Among all countries, United States is anticipated to generate the highest revenue, amounting to €10.11bn in 2024.
The United States is seeing a surge in demand for Supply Chain Management Software as businesses seek to optimize their logistics operations.

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

Mercado

Región

Comparación de regiones

Moneda

Analyst Opinion

The Supply Chain Management Software market in United States has been growing at a steady pace in recent years, driven by various factors such as increasing demand for automation, rising need for real-time visibility, and growing adoption of cloud-based solutions.

Customer preferences: Customers in the United States are increasingly looking for supply chain management software solutions that can help them improve their operational efficiency, reduce costs, and enhance their overall supply chain performance. They are also looking for solutions that can provide real-time visibility into their supply chain operations, enabling them to make informed decisions and quickly respond to changing market conditions.

Trends in the market: One of the major trends in the Supply Chain Management Software market in United States is the increasing adoption of cloud-based solutions. Cloud-based solutions offer several benefits such as lower upfront costs, faster deployment, and easier scalability. They also offer greater flexibility and accessibility, allowing users to access their supply chain data from anywhere, at any time.Another trend in the market is the growing importance of analytics and artificial intelligence (AI) in supply chain management software solutions. Analytics and AI can help companies gain deeper insights into their supply chain operations, enabling them to identify inefficiencies, optimize their processes, and improve their overall performance.

Local special circumstances: The United States has a highly developed logistics and transportation infrastructure, which has helped drive the growth of the Supply Chain Management Software market in the country. The country also has a large number of manufacturing and retail companies, which are major users of supply chain management software solutions.

Underlying macroeconomic factors: The United States has a strong and stable economy, which has been growing steadily in recent years. This has helped drive demand for supply chain management software solutions as companies look to improve their operational efficiency and reduce costs. The country also has a highly skilled workforce and a supportive business environment, which has helped foster innovation and growth in the supply chain management software market.

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.