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Supply Chain Management Software - Portugal

Portugal

The Supply Chain Management Software market in Portugal is expected to witness significant growth in the coming years.
According to projections, the revenue in this market is estimated to reach US$25.45m by 2024.
Furthermore, it is anticipated to display a compound annual growth rate (CAGR 2024-2029) of 2.84%, resulting in a market volume of US$29.27m by 2029.
In addition, the average Spend per Employee in the Supply Chain Management Software market is projected to reach US$4.65 by 2024.
This indicates the level of investment and importance placed on this software in optimizing supply chain operations in Portugal.
When comparing the global market, it is noteworthy that United States is expected to generate the highest revenue in the Supply Chain Management Software market.
In 2024 alone, United States is projected to generate an impressive revenue of US$10,900.00m, highlighting its dominance in this market segment.
Portugal's growing e-commerce industry has led to an increased demand for advanced supply chain management software solutions.

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

Market

Region

Region comparison

Currency

Analyst Opinion

Portugal, a country in southwestern Europe, has been experiencing an increasing demand for Supply Chain Management (SCM) Software in recent years.

Customer preferences: The growing trend of e-commerce has led to a higher demand for SCM software in Portugal. The increasing need for faster and more efficient delivery of goods to customers has resulted in companies investing in SCM software to optimize their supply chain operations. Additionally, the COVID-19 pandemic has accelerated the adoption of SCM software as companies seek to improve their supply chain resilience and agility.

Trends in the market: One of the major trends in the SCM software market in Portugal is the adoption of cloud-based solutions. Cloud-based SCM software offers greater flexibility, scalability, and cost-effectiveness compared to on-premise solutions. Another trend is the integration of Artificial Intelligence (AI) and Internet of Things (IoT) technologies into SCM software, which enables companies to optimize their supply chain operations by analyzing large amounts of data and making data-driven decisions.

Local special circumstances: Portugal's location on the Atlantic coast has made it an important gateway for trade between Europe, Africa, and the Americas. The country has a long history of international trade and has established strong trade relations with countries in these regions. This has led to a diverse range of industries in Portugal, including manufacturing, agriculture, and tourism, all of which require efficient supply chain management.

Underlying macroeconomic factors: Portugal's economy has been growing steadily in recent years, with a focus on exports and foreign investment. The country has a highly skilled workforce and a favorable business environment, which has attracted many foreign companies to invest in Portugal. This has led to an increase in demand for SCM software as companies seek to optimize their supply chain operations and improve their competitiveness in the global market. Additionally, Portugal's membership in the European Union has facilitated trade with other EU countries, further driving the demand for SCM software.

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.