Southeast Asia has become one of the most potential construction machinery markets in the world, driven by infrastructure projects such as the ASEAN Connectivity Plan. However, the market demand varies greatly among countries in the region. Blindly entering the market may lead to "high investment and low return". How to use industrial big data to grasp market opportunities has become a key issue for suppliers.
Ms. Chen, who runs a small crane factory in Zhejiang, used big data to achieve a "counterattack" in the Southeast Asian market. At the beginning of 2024, she planned to enter Southeast Asia but was confused about "which country to choose as the breakthrough point". The platform's industrial big data insight module provided her with a detailed Southeast Asian construction machinery market analysis report.
The report shows that Vietnam's infrastructure construction is mainly focused on urban roads, with a surge in demand for small cranes under 10 tons, and the delivery cycle requirement is within 30 days; Indonesia's demand is concentrated on port construction, requiring large cranes with strong corrosion resistance; Thailand's market is relatively mature, and buyers pay more attention to brand reputation and after-sales service. Based on this data, Ms. Chen decided to take Vietnam as the first stop and launched a 8-ton small crane with a shortened delivery cycle to 25 days.
In addition, the big data module also found that "fuel efficiency" is a key concern for Vietnamese buyers due to the rising oil prices in Southeast Asia. Ms. Chen's team immediately optimized the crane's engine system, reducing fuel consumption by 15%. When the product was launched on the platform, it received 50+ inquiries in one month, and the first batch of 30 units was sold out within two months.
The core value of industrial big data lies in "predicting trends and matching needs". The platform's data source covers not only platform transaction data but also global infrastructure project bidding information, customs import and export data, and local policy documents. For example, when the platform detects that the Philippine government has announced a $50 billion infrastructure investment plan, it will immediately analyze the required construction machinery types and push the analysis results to relevant suppliers.
2025 will be a year of differentiated development in the Southeast Asian construction machinery market. Suppliers who rely on "experience" to judge the market will gradually be eliminated. Only by using industrial big data to accurately locate demand, optimize products, and formulate strategies can they seize the market dividend.
