Market Insights Technology Software Enterprise Software

Supply Chain Management Software - New Zealand

New Zealand

The projected revenue for the Supply Chain Management Software market in New Zealand is expected to reach NZ US$65.07m by 2025.
This indicates a positive trend in the market, with an estimated annual growth rate (CAGR 2025-2029) of 3.83%.
As a result, the market volume is anticipated to reach NZ US$75.62m by 2029.
When considering the average Spend per Employee in the Supply Chain Management Software market, it is projected to reach NZ US$21.71 in 2025.
This metric provides insights into the level of investment made by companies in New Zealand to optimize their supply chain processes.
In a global comparison, United States is expected to generate the highest revenue in the Supply Chain Management Software market, with an estimated value of US$11,320.00m in 2025.
This showcases the dominant position of the United States in this market segment.
It is worth noting that these figures highlight the importance and potential growth of the Supply Chain Management Software market in New Zealand, as well as the significant revenue generated by United States in this industry.
New Zealand's growing e-commerce sector is driving the demand for advanced supply chain management software.

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

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Analyst Opinion

The Supply Chain Management Software market in New Zealand has been experiencing steady growth in recent years.

Customer preferences: New Zealand businesses are increasingly looking for ways to optimize their supply chain management processes, and this has led to an increased demand for supply chain management software. Companies are looking for software that can help them improve their inventory management, reduce transportation costs, and increase the efficiency of their supply chain operations.

Trends in the market: One of the key trends in the New Zealand supply chain management software market is the growing adoption of cloud-based solutions. Cloud-based software offers businesses greater flexibility and scalability, as well as lower upfront costs. Another trend is the increasing use of artificial intelligence and machine learning in supply chain management software. These technologies can help businesses make more informed decisions and optimize their supply chain operations.

Local special circumstances: New Zealand's geographic location presents unique challenges for supply chain management. Many businesses in the country rely on imports and exports, and this can lead to longer lead times and higher transportation costs. As a result, there is a greater need for supply chain management software that can help businesses manage these challenges.

Underlying macroeconomic factors: New Zealand's economy has been growing steadily in recent years, and this has led to increased investment in supply chain management software. The country's strong agricultural sector has also contributed to the growth of the supply chain management software market, as many businesses in this sector rely on efficient supply chain operations to get their products to market. Additionally, the New Zealand government has been investing in infrastructure projects, which has helped to improve the country's transportation networks and further fuelled demand for supply chain management 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.