A tire plant feasibility study is one of the most analytically demanding assignments in industrial project evaluation. We bring 284-facility database benchmarks, bottom-up demand modelling, and primary competitive intelligence to every investment decision.
6
Analytical Dimensions
Covering demand, competition, location, capital cost, operating cost and financial returns
$200M–$500M
Greenfield Investment Range
Typical capital commitment for a tire plant in an emerging market
284
Facilities in Database
The most detailed publicly available benchmark set for tire manufacturing capital cost
3–5 Years
Feasibility to Production
Timeline from study to full commercial output for a greenfield tire facility
A tire plant feasibility study is one of the most analytically demanding assignments in industrial project evaluation. Unlike a consumer goods manufacturing investment where the market is well-defined and the production economics are relatively transparent, a tire plant feasibility involves quantifying demand across multiple tire segments and vehicle types using a bottom-up vehicle parc model, benchmarking capital cost against comparable facilities from a 284-facility global database, establishing operating cost economics that reflect the local labor, energy and raw material cost environment, and modelling the competitive dynamics that will determine what price and volume the new facility can realistically achieve against established competitors - including the Tier 1 manufacturers who already operate in most major markets with fully depreciated assets and deep customer relationships.
Our plant database provides the most detailed publicly available benchmark set for tire manufacturing capital cost and operating economics. Facilities tracked include Bridgestone's Poznan plant in Poland - a greenfield PCR facility commissioned in 2016 with a 12,500 thousand units per year capacity - and Bridgestone's newer Stargard plant in Poland, added in 2022. Michelin's Romania Oradea plant opened in 2025. Linglong's Serbia Zrenjanin facility serves as the benchmark European greenfield investment for a Chinese Tier 2 manufacturer seeking EU market access. Petlas in Turkey is investing $360 million in a new plant scheduled for 2025 to 2026. Hankook's Hungary plant at 8,500 thousand units per year capacity illustrates the single-plant standalone greenfield economics for a mid-size PCR facility. These real-facility data points give Radial Insights the ability to construct credible capital cost estimates and production efficiency benchmarks that are grounded in comparable executed investments rather than theoretical models.
Greenfield feasibility studies from Radial Insights cover six analytical dimensions. The first two - market demand assessment and competitive landscape - establish the fundamental commercial viability of the investment before any capital cost or return analysis begins.
Applying our bottom-up vehicle parc and replacement rate model to quantify addressable demand in the target geography through 2032, identifying the tire segments and vehicle categories that represent the most accessible volume for the facility's product range.
Mapping existing production capacity in the market, import volume and source country mix using UN COMTRADE HS 4011 data, and the competitive responses that a new entrant should anticipate from incumbent manufacturers.
Identifying the PCR, TBR, OTR or specialty segment mix that offers the highest addressable volume with the least entrenched competitive position, informed by our primary research across 35-plus manufacturers and distributors.
Location selection and capital cost estimation are evaluated simultaneously, since the cost of constructing a facility of a given specification varies materially across candidate geographies - and the operating cost economics of the chosen location determine whether the project's unit manufacturing cost allows it to compete commercially.
Evaluating alternative plant sites against labor cost, energy cost, logistics infrastructure, raw material supply proximity, incentive and grant availability, and the regulatory and permitting environment for industrial investment in each candidate location.
Developing the equipment list, civil works scope and infrastructure cost for the facility using our plant database benchmarks, adjusted for local construction cost indices - grounded in real facility data from Bridgestone, Michelin, Linglong, Petlas and Hankook investments.
Building a phased capital expenditure schedule with commissioning milestones, contingency allowances, and the engineering, procurement and construction cost split that reflects the specific facility design and local construction market conditions.
The operating cost model is the analytical heart of any tire plant feasibility, because it determines the unit manufacturing cost that must be recovered in the selling price - and therefore whether the facility can compete commercially from day one.
Building a detailed unit manufacturing cost model covering raw materials - natural rubber at 40 percent of compound weight, carbon black at 25 percent, steel cord at 15 percent of radial tire weight - using current and projected commodity prices on an EXW basis.
Modelling labor cost per unit at the specific wage rates and productivity levels achievable in the candidate location, energy cost per thousand units based on local electricity and thermal energy prices, and overhead cost per unit covering maintenance, quality, logistics and administration.
Benchmarking the derived unit manufacturing cost against comparable facilities in our database - expressed on the EXW factory-gate basis that our methodology uses for all market calculations - to validate that the facility's cost position allows commercially viable pricing.
The financial return model integrates all analytical inputs into a full project finance model that provides the NPV, IRR, payback period and sensitivity analysis that investment committees, boards and lenders require.
Integrating volume ramp, selling price assumptions, capital expenditure schedule and operating cost structure into a full project finance model covering NPV, IRR, payback period and sensitivity analysis against the key assumptions under base, upside and downside scenarios.
For brownfield feasibility, evaluating the specific capacity addition, product range extension, or technology upgrade investment against the existing asset base, utilization rate and financial performance of the facility being expanded - the incremental versus standalone investment economics dimension.
Sensitivity tables mapping the model's key assumptions - volume, price, raw material cost, capex - against NPV and IRR outputs, identifying the specific variables that most determine whether the investment is viable and the thresholds at which the project fails to meet the required return.
Our feasibility team brings plant-level database benchmarks, bottom-up demand modelling, and the primary competitive intelligence that investment decisions in the tire industry require.
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