Industry Cost Curve
for Manufacture of starches and starch products (ISIC 1062)
This strategy is a primary fit for the starch and starch products industry. The industry is characterized by high capital expenditure (ER03: 4), significant operating leverage (ER04: 3), and faces intense price competition for largely undifferentiated commodity products (ER05: 2). Raw material and...
Why This Strategy Applies
A framework that maps competitors based on their cost structure to identify relative competitive position and determine optimal pricing/cost targets.
GTIAS pillars this strategy draws on — and this industry's average score per pillar
These pillar scores reflect Manufacture of starches and starch products's structural characteristics. Higher scores indicate greater complexity or risk — see the full scorecard for all 81 attributes.
Cost structure and competitive positioning
Primary Cost Drivers
Higher efficiency in converting agricultural inputs (e.g., corn, wheat) into starch products reduces per-unit raw material cost, significantly shifting a player to the left on the curve.
Lower energy intensity per unit of output (e.g., through process optimization, heat recovery) or access to cheaper/stable energy sources (LI09: 4/5) reduces operating costs, moving a player towards the low-cost end of the curve.
Larger plant capacities coupled with high asset utilization amortize substantial fixed capital costs (ER03: 4/5) over more units, drastically lowering unit costs and positioning players to the left.
Strategic location reducing inbound raw material transport costs and outbound finished product distribution costs (PM03: 4, LI01: 2/5) provides a significant delivered cost advantage, shifting a player left.
Cost Curve — Player Segments
Large-scale, highly automated plants, often vertically integrated (e.g., sourcing own raw materials or co-located with processing hubs), leveraging advanced conversion technologies and favorable long-term energy contracts.
Vulnerable to sudden, systemic disruptions in primary raw material supply chains, or breakthrough technologies that significantly alter processing economics.
Medium-to-large scale facilities, serving specific regional markets with a diversified product portfolio. May possess older but modernized equipment, and are moderately efficient in raw material conversion and energy use.
Squeezed by global low-cost producers on pricing and by specialty players on value. Highly susceptible to regional raw material and energy price volatility due to less hedging capacity.
Smaller, potentially older plants, often producing highly specialized or modified starch products for niche applications (e.g., pharma, specific food ingredients) or operating in high-cost labor/energy regions with lower asset utilization.
Extreme vulnerability to general commodity price downturns; their niche products can become uncompetitive if low-cost players replicate them or if raw material/energy costs erode their profitability.
The marginal producers are the less efficient regional players and specialized legacy facilities (Segment 2 & 3), characterized by older assets, lower utilization, and higher exposure to raw material and energy price volatility (ER01: 1/5, LI09: 4/5).
Low-cost leaders (Segment 1) dictate the price floor, but the actual market clearing price is typically set by the next-highest cost producers whose capacity is required to meet demand. A drop in industry demand (ER05: 2/5) would quickly push these marginal producers out of profitability, lowering the clearing price.
Given the high capital intensity (ER03: 4/5) and commodity nature, companies must either aggressively pursue cost leadership through scale and efficiency or identify and serve resilient, high-value niche markets.
Strategic Overview
In the 'Manufacture of starches and starch products' industry (ISIC 1062), an Industry Cost Curve analysis is a fundamental strategic tool due to the industry's commodity nature and intense price competition. This framework allows companies to map and understand the cost structures of their competitors, providing crucial insights into their own relative cost position. Given the high capital intensity (ER03) and significant exposure to raw material (ER01) and energy (LI09) price volatility, mastering cost control is not just a competitive advantage but often a prerequisite for survival, directly addressing challenges like 'Margin Erosion from Input Volatility' and 'Pricing Power Constraints'.
By systematically analyzing cost drivers such as raw material conversion efficiency, energy consumption, logistics, and asset utilization, companies can identify opportunities for operational improvements, strategic investments, and effective pricing strategies. This analysis moves beyond internal cost accounting to provide an external, competitive perspective, essential for making informed decisions on capacity expansion, process innovation, and market positioning. Ultimately, understanding one's position on the industry cost curve helps starch manufacturers strategically pursue cost leadership, defend market share against 'Competition from Alternative Ingredients', or identify niches for differentiation.
4 strategic insights for this industry
Raw Material Conversion Efficiency Dictates Cost Position
In the starch industry, raw material (e.g., corn, wheat, cassava) constitutes the largest component of production cost, often exceeding 60-70% of total variable costs. Therefore, even marginal improvements in conversion rates (e.g., starch yield per ton of raw material) can significantly alter a company's position on the industry cost curve. Companies with superior processing technology or better raw material sourcing (ER01: Raw Material Price Volatility) that maximizes yield will inherently possess a lower cost base, providing a significant competitive advantage against 'Margin Erosion from Input Volatility'.
Energy Intensity as a Key Differentiator in Cost Structure
The manufacture of starches is an energy-intensive process, particularly for drying and heating, making energy costs a critical component of the total cost profile. With LI09 scored at 4 ('Energy System Fragility & Baseload Dependency' and 'High Operational Costs'), companies with access to cheaper energy sources (e.g., natural gas vs. coal), co-generation capabilities, or superior energy efficiency technologies (e.g., heat recovery systems) will have a distinct cost advantage. This directly impacts 'High Operational Costs' and allows for more aggressive pricing strategies to combat 'Pricing Power Constraints'.
Scale and Asset Utilization Drive Capital Cost Amortization
Given the 'High Barriers to Entry' (ER03: 4) and 'Asset Rigidity & Capital Barrier' (ER03: 4), fixed costs from plant and equipment are substantial. Companies with larger production capacities and higher asset utilization rates (Operating Leverage ER04: 3) can amortize these fixed costs over a greater volume of product, leading to lower unit costs. An Industry Cost Curve analysis will highlight how effectively competitors are utilizing their capital assets, influencing 'Reduced Agility and Flexibility' for smaller players and reinforcing the competitive advantage of large-scale producers.
Logistics and Distribution Costs Significantly Impact Delivered Cost
Starch products, especially bulk varieties, can be heavy and require specific storage conditions (PM03: 4, 'Logistical Complexity & Costs'). 'Logistical Friction & Displacement Cost' (LI01: 2) indicates transportation costs are a notable factor. A company's proximity to raw material sources and key markets, efficiency of its supply chain network (LI05: 4, 'Structural Lead-Time Elasticity'), and choice of transportation modes (PM02: 3, 'Limited Transportation Flexibility') can significantly impact the 'delivered cost' to the customer. This is crucial for maintaining competitiveness, especially in regional markets, and addressing 'High Inventory Carrying Costs'.
Prioritized actions for this industry
Conduct a Granular Internal Cost Breakdown and Map it Against the Value Chain
Before benchmarking externally, companies must thoroughly understand their own cost drivers at each stage of the starch manufacturing process – from raw material procurement and storage, through processing (wet milling, drying), to packaging and logistics. This detailed internal mapping will identify specific areas of inefficiency and inform data collection for external comparison. It's the foundational step to address 'Margin Erosion from Input Volatility' and identify 'High Operational Costs'.
Benchmark Key Operational Metrics Against Identified Cost Leaders
Leverage market intelligence (e.g., industry reports, competitor analysis, expert networks) to estimate competitors' raw material conversion rates, energy consumption per ton of starch, labor productivity, and capacity utilization. Focus on best-in-class performance to identify specific gaps. For example, if a competitor's reported raw material yield is 5% higher, this represents a significant cost advantage (ER01). This informs targets for 'High Capital Expenditure for Adaptation' and combating 'Competition from Alternative Ingredients'.
Invest in Process Optimization and Automation for Energy and Yield Improvements
Based on identified cost gaps, strategically invest in technologies that improve raw material conversion efficiency (e.g., advanced separation technologies, enzymes) and reduce energy consumption (e.g., waste heat recovery, optimized drying systems). Automation can also reduce labor costs and improve consistency. This directly targets 'High Operational Costs' (LI09) and enhances competitiveness in a 'commodity price pressure' environment (ER05). Such investments can improve 'Reduced Agility and Flexibility' over the long term by modernizing rigid assets (ER03).
Optimize Logistics and Supply Chain Network for Reduced Delivered Costs
Analyze the entire supply chain, from raw material procurement to finished product delivery, to minimize transportation and storage costs. This includes optimizing plant location relative to raw material sources and key markets, negotiating better freight rates (LI01), improving warehouse efficiency (LI02: 1), and exploring intermodal transport options (PM02). For specialized starches, optimizing for 'Structural Lead-Time Elasticity' (LI05) can reduce inventory holding costs and improve service. This tackles 'High Transportation Costs & Volatility' and 'High Inventory Carrying Costs'.
From quick wins to long-term transformation
- Internal cost mapping and allocation review across all production stages.
- Energy audit to identify immediate savings opportunities (e.g., insulation, lighting upgrades, shutting down idle equipment).
- Negotiate short-term contracts with raw material and energy suppliers based on identified benchmarks.
- Analyze transportation routes and modes for immediate optimization.
- Implement process control upgrades (e.g., SCADA systems) to optimize yields and reduce waste.
- Pilot projects for new enzymes or processing aids to improve raw material conversion.
- Explore co-generation or renewable energy sources to reduce energy cost volatility (LI09).
- Develop a comprehensive competitor intelligence system to continuously update cost curve positions.
- Engage with logistics providers for strategic partnerships and long-term rate negotiations.
- Major CAPEX investments in new, state-of-the-art plant technology designed for peak energy efficiency and yield.
- Strategic M&A to achieve greater economies of scale and consolidate raw material sourcing.
- Backward integration into raw material farming or forward integration into specialized starch derivatives to capture more value.
- R&D into breakthrough processing technologies that fundamentally alter the cost structure.
- Re-evaluate global manufacturing footprint based on evolving raw material and energy prices, as well as market access (ER02, LI01).
- Over-reliance on publicly available data, which may not capture true operational costs.
- Ignoring the qualitative aspects of cost (e.g., maintenance costs from cheaper equipment).
- Focusing solely on unit cost without considering product quality, differentiation, or customer service.
- Assuming a static cost curve; competitive positions change due to technology, raw material shifts, and new entrants.
- Failing to account for regional differences in raw material prices, energy costs, and labor rates (ER02, LI01).
Measuring strategic progress
| Metric | Description | Target Benchmark |
|---|---|---|
| Total Production Cost per Ton | Overall cost to produce one metric ton of starch product, inclusive of raw materials, energy, labor, and fixed overheads. | Top quartile of the industry cost curve (e.g., X% below industry average). |
| Raw Material Conversion Yield | The percentage of usable starch obtained from a given quantity of raw material (e.g., kg starch per kg corn). | Achieve industry best-in-class yields (e.g., >95% theoretical yield for specific raw materials). |
| Energy Consumption per Ton | Total energy consumed (e.g., kWh or GJ) per metric ton of finished starch product. | Reduce by 10-15% over 3-5 years, or match top 10% of industry peers. |
| Logistics Cost as % of Sales | The percentage of sales revenue attributed to transportation, warehousing, and distribution costs. | Below 5% for bulk products, or X% below industry average. |
| Capacity Utilization Rate | The percentage of total installed production capacity that is actively being used. | Sustainably above 85-90% to optimize fixed cost absorption (ER04). |
Software to support this strategy
These tools are recommended across the strategic actions above. Each has been matched based on the attributes and challenges relevant to Manufacture of starches and starch products.
Capsule CRM
10,000+ customers worldwide • Includes Transpond marketing platform
Transpond's email marketing and audience tools support proactive brand communication that builds customer loyalty and reduces churn-driven reputational fragility
Cost-effective CRM for growing teams — manage contacts, track deals and pipeline, build customer relationships, and streamline day-to-day work. Paired with Transpond, a dedicated marketing platform for email campaigns and audience management.
Stop losing deals to missed follow-upsMatched to GTIAS risk attributes — not paid placement. Affiliate link, no cost to you.
HubSpot
Free forever plan • 288,700+ customers in 135+ countries
Deal intelligence, win/loss analytics, and pipeline data give sales teams the evidence to defend price with ROI proof rather than discounting reactively against commodity competition
All-in-one CRM and go-to-market platform used by 288,700+ businesses across 135+ countries. Connects marketing, sales, service, content, and operations in one system — free forever plan to start, paid tiers to scale.
Unify sales, marketing, and serviceMatched to GTIAS risk attributes — not paid placement. Affiliate link, no cost to you.
HighLevel
All-in-one CRM & marketing platform • 14-day free trial
Sales pipeline visibility and deal-stage analytics give teams the evidence to defend price with ROI proof rather than discounting reactively under competitive pressure
All-in-one CRM, marketing automation, and sales funnel platform built for agencies and SMBs. Replaces email, SMS, social scheduling, reputation management, pipeline, and client portals in one system — 40% recurring commission.
Automate your customer pipelineMatched to GTIAS risk attributes — not paid placement. Affiliate link, no cost to you.
Similarweb
50% commission for 12 months • 1,000+ active partners
Web traffic share, market penetration data, and category benchmarks give businesses objective market concentration signals — tracking when a competitor's digital reach is growing into their territory before it becomes structural
Digital intelligence platform providing web traffic analytics, competitive benchmarking, and market share data for any website, app, or industry. Used by strategy teams, marketers, and researchers to track competitor digital performance, measure market concentration, and identify emerging trends before they appear in revenue data.
See competitor traffic before it shiftsMatched to GTIAS risk attributes — not paid placement. Affiliate link, no cost to you.
Volza
Trade data across 209+ countries • 30+ years of heritage
Trade concentration intelligence reveals who the dominant importers, exporters, and intermediaries are in any product category — giving businesses objective market structure data at the supplier and buyer level to understand where concentration risk actually lives in their supply network
Global trade intelligence platform delivering verified export/import shipment data, supplier discovery, and buyer-seller matching across 209+ countries. Backed by 30+ years of trade analytics heritage — used by thousands of businesses and top consultancies to map supply chain networks, identify sourcing alternatives, and track competitor trade flows.
Track global trade flows before your rivals doMatched to GTIAS risk attributes — not paid placement. Affiliate link, no cost to you.
Lodgify
Direct bookings without OTA commission • 7-day free trial
Short-term rental operators are structurally dependent on two or three concentrated OTA platforms (Airbnb, Booking.com, Vrbo) that control distribution and capture up to 15% commission per booking. Lodgify's direct booking engine breaks that dependency by giving operators their own branded channel — directly addressing the market concentration risk that squeezes margin in accommodation markets.
Website builder and direct booking engine for short-term rental operators. Enables property managers to take bookings direct — without OTA commission — while building first-party guest data, automating communications, and managing channel distribution from a single platform.
Stop paying OTA commission on every bookingMatched to GTIAS risk attributes — not paid placement. Affiliate link, no cost to you.
Ramp
$500 welcome bonus • Saves businesses 5% on average
AI-powered spend optimisation automatically identifies cost savings — businesses save 5% on average, directly protecting margin resilience
Corporate card and spend management platform that automatically finds savings and enforces budgets. Designed for finance teams to gain complete visibility and control over business spend.
Cut spend automatically, get $500Matched to GTIAS risk attributes — not paid placement. Affiliate link, no cost to you.
Connecteam
Free plan available • 36,000+ businesses worldwide
Industries with high logistical friction (mining, construction, field services, logistics) are precisely the sectors with large deskless workforces — Connecteam's scheduling and coordination tools are structurally relevant to the same operational conditions that drive high LI01 scores
Mobile-first workforce management platform for frontline and deskless teams — scheduling, time tracking, task management, internal communications, and digital checklists. Free plan for unlimited users. Built for hospitality, logistics, construction, retail, and other shift-based industries.
Coordinate your frontline team, for freeMatched to GTIAS risk attributes — not paid placement. Affiliate link, no cost to you.
Buddy Punch
14-day free trial • 10,000+ businesses trust Buddy Punch
Field-based and multi-site operations (construction, logistics, field services) face high coordination cost from dispersed teams — GPS-verified clock-in and mobile scheduling reduce the administrative overhead of managing deskless shift workers across locations
Online time clock and payroll software for SMBs with hourly and shift-based workforces — GPS clock-in/out, facial recognition, geofencing, PTO tracking, scheduling, and integrated payroll processing. Reduces time-card fraud and payroll errors for industries where labour is the primary cost driver.
Stop paying for hours that don't show upMatched to GTIAS risk attributes — not paid placement. Affiliate link, no cost to you.
Deputy
300,000+ businesses worldwide • Award-compliant scheduling
High logistical friction industries (logistics, healthcare, field services) rely on large deskless shift teams; Deputy's scheduling and coordination tools reduce the coordination overhead that drives high LI01 scores in those sectors.
Deputy is a workforce scheduling and compliance platform for shift-based businesses — automating shift creation, award interpretation (AU/UK labour law), time tracking, and payroll integration. Built for hospitality, retail, healthcare, and logistics teams.
Build compliant shift schedules in minutesMatched to GTIAS risk attributes — not paid placement. Affiliate link, no cost to you.
Other strategy analyses for Manufacture of starches and starch products
Also see: Industry Cost Curve Framework
This page applies the Industry Cost Curve framework to the Manufacture of starches and starch products industry (ISIC 1062). Scores are derived from the GTIAS system — 81 attributes rated 0–5 across 11 strategic pillars — which quantifies structural conditions, risk exposure, and market dynamics at the industry level. Strategic recommendations follow directly from the attribute profile; they are not generic advice.
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Strategy for Industry. (2026). Manufacture of starches and starch products — Industry Cost Curve Analysis. https://strategyforindustry.com/industry/manufacture-of-starches-and-starch-products/industry-cost-curve/