Indonesia Autonomous Construction Equipment Market (2024-2029)

Market Size Estimation

As mentioned below, a detailed market estimation approach was followed to estimate and validate the value and volume of the autonomous construction equipment market and other dependent submarkets:

• The bottom-up approach was used to estimate and validate the autonomous construction equipmentmarket's size by equipment type. The country-level sales of each equipment type (Dozer, Dump Truck, Loaders, Excavators, Haul Trucks, Compactors, and Farm tractors) were referred from country-level manufacturing associations and secondary sources (company publications, articles, etc.).
• The forecast for this equipment is based on factors such as country-wise macro-economic indicators, infrastructure investment, farm mechanization, and government spending.
• The penetration of autonomous equipment as a percentage of each total sales of the respective equipment is referred from secondary sources and then validated through Primary Interviews with industry experts (B).
• The forecast of each autonomous equipment is based on factors like feasibility & usability of the equipment being autonomous, OEM-wise developments/investments in the equipment, and consumer readiness, among others.
• The country-level autonomous construction equipment by equipment type (volume) were then multiplied by the country-level average selling price (ASP) of each equipment type to get the country-level equipment type market by value.
• The summation of the country-level market would give the regional level, and then further addition provides the global autonomous construction equipment market by equipment type.
• The top-down approach is used to estimate the propulsion type, level of automation, and power output at the regional level.
• All key macro indicators affecting the revenue growth of the market segments and subsegments were accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the validated and verified quantitative and qualitative data.
• The gathered market data was consolidated and added with detailed inputs, analyzed, and presented in this report.

Global Autonomous construction equipmentMarket Size: Bottom-Up Approach

In the top-down approach, an exhaustive list of all the vendors offering products in the WCM market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor's offerings were evaluated based on the breadth of product type, deployment mode, architecture, and end user. The aggregate of all the companies’ revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets’ repository for validation.

Market Size Estimation Methodology-Bottom-up approach

Global Autonomous construction equipmentMarket Size: Top-Down Approach

The top-down approach was followed to determine the market size by propulsion type, by power output, and by level of automation in terms of volume and value for autonomous autonomous construction equipment market. Country-level autonomous construction equipment market by equipment type has been derived through the bottom-up approach. This country-wise market is summed up to get regional and global markets

The market sizing for propulsion type, by power output, and level of autonomy is derived using a top-down approach, where the regional autonomous construction equipment market is referred . The country-wise OEM-level model mapping is aligned with the respective equipment types. For instance, number of autonomous tractors manufactured, their propulsion, autonomy level, power output etc. is mapped for each OEM. The forecast of the propulsion, power output, and level of autonomy is based on factors such as company’s announcements & investments on electrification, power output, and autonomy, government regulations/subsidies to support electrification etc. The same assumption-based penetrations are validated with industry experts.

The average selling price of electric equipment is derived at regional level for each equipment type using secondary sources (which usually provides the incremental cost as a 10-20% of conventional equipment) and then multiplied with regional volumes to arrive at the regional values.