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Supply Chain Management Software - Peru

Peru
  • In 2024, the projected revenue in the Supply Chain Management Software market is set to reach a staggering US$29.91m.
  • This market is expected to demonstrate a steady annual growth rate (CAGR 2024-2029) of 3.99%, resulting in a substantial market volume of US$36.37m by 2029.
  • Additionally, it is worth noting that in 2024, the average Spend per Employee in the Supply Chain Management Software market is projected to reach US$1.63.
  • When comparing global revenue, it becomes evident that United States takes the lead, generating the highest revenue in this market segment.
  • In 2024 alone, United States is expected to generate a remarkable US$10.90bn.
  • It is worth highlighting that in Peru, as a country, also plays a significant role in the Supply Chain Management Software market.
  • Peru's increasing focus on improving logistics and inventory management has led to a growing demand for supply chain management software in the country.

Definition:

The Supply Chain Management Software market covers software applications that support organizations in managing their supply chain activities by providing them with tools to optimize their inventory, manage their suppliers and vendors, and improve their logistics operations. This can help organizations reduce costs, improve customer service, and increase competitiveness.

Products in the Supply Chain Management Software market can be obtained in two ways: as on-premises software that is sold via a transactional license or a subscription and as cloud-based software (software as a service/ SaaS) that is most frequently sold as a subscription.

Additional Information:

The Supply Chain Management Software market comprises revenue and revenue growth as the key performance indicators. Only the revenues that are generated by primary vendors at the manufacturer price level either directly or through distribution channels (excluding value-added tax) are included and the revenues generated by resellers are excluded. Revenues are generated through both online and offline sales channels and include spending by enterprises (B2B) and governments (B2G).

Key players in this market include SAP, Oracle, Blue Yonder, and Infor.

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In-Scope

  • Logistics applications, such as NetSuite, Fishbowl, and Brightpearl
  • Inventory management, such as Zoho Inventory, InventoryCloud, and Ordoro
  • Production planning, such as Visual Planning, Odoo, and MRPeasy

Out-Of-Scope

  • Analytics software, such as MicroStrategy, Qlik Sense, and Looker
  • Procurement software, such as SAP Ariba, Kissflow, and Procurify
  • Custom applications, such as Sphinx Solutions, CHI Software, and Intellectsoft
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Study Details

    Revenue

    Notes: Data was converted from local currencies using average exchange rates of the respective year.

    Most recent update: Sep 2024

    Source: Statista Market Insights

    Notes: The chart “Comparable Estimates” shows the forecasted development of the selected market from different sources. Please see the additional information for methodology and publication date.

    Most recent update: Jul 2024

    Notes: Data was converted from local currencies using average exchange rates of the respective year.

    Most recent update: Sep 2024

    Source: Statista Market Insights

    Key Players

    Most recent update: Mar 2024

    Source: Statista Market Insights

    Analyst Opinion

    Peru, a country known for its diverse geography and rich culture, has been experiencing growth in the Supply Chain Management Software market in recent years.

    Customer preferences:
    Peruvian companies have been showing a growing interest in adopting Supply Chain Management Software to optimize their operations and improve efficiency. This trend is particularly evident in the manufacturing and retail sectors, where companies are looking to streamline their supply chain processes and reduce costs.

    Trends in the market:
    One of the key trends in the Supply Chain Management Software market in Peru is the increasing adoption of cloud-based solutions. Cloud-based software offers several advantages over traditional on-premise solutions, including lower upfront costs, greater scalability, and easier access to real-time data. Another trend is the integration of artificial intelligence and machine learning technologies into Supply Chain Management Software. These technologies can help companies automate routine tasks, improve forecasting accuracy, and identify potential supply chain disruptions before they occur.

    Local special circumstances:
    Peru's geography presents unique challenges for supply chain management, with the rugged Andes mountains and dense Amazon rainforest making transportation and logistics difficult in some areas. This has led to a greater emphasis on supply chain optimization and the use of technology to improve efficiency. Additionally, Peru's position as a major exporter of commodities such as copper, gold, and silver has led to a need for robust supply chain management systems to ensure timely delivery and minimize disruptions.

    Underlying macroeconomic factors:
    Peru's economy has been growing steadily in recent years, driven by strong domestic demand and a stable political environment. This has led to increased investment in infrastructure, including transportation and logistics, which has helped to improve supply chain efficiency. Additionally, Peru's participation in free trade agreements with countries such as the United States and China has opened up new markets for Peruvian companies, increasing the need for effective supply chain management. Overall, the combination of strong economic growth, geographic challenges, and a focus on export-oriented industries has created a favorable environment for the growth of the Supply Chain Management Software market in Peru.

    Global Comparison

    Notes: Data was converted from local currencies using average exchange rates of the respective year.

    Most recent update: Sep 2024

    Sources: Statista Market Insights, Financial Statements of Key Players, National statistical offices

    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.

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    Key Market Indicators

    Notes: Based on data from IMF, World Bank, UN and Eurostat

    Most recent update: Sep 2024

    Source: Statista Market Insights

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