Mangelnde Marktdaten in der Angebotskalkulation führt zu Bid-Verlusten
Definition
Market data shows new orders in nonresidential construction fell 10% in 2023 and continued declining in 2024–2025. Firms cite 'lack of tender opportunities' and 'high building costs' as reasons for bid decline. Manual bid preparation without access to real-time market comparables, win/loss analytics, or capacity planning data leads to mispricing. Errors compound in a tight market where one mispriced bid can represent 15–20% of annual revenue for small contractors.
Key Findings
- Financial Impact: €1–3M annual bid-value loss per firm (5–10% of target bid pipeline); 15–25% bid loss rate vs. 8–12% industry benchmark
- Frequency: Per bid cycle; cumulative over 12 months
- Root Cause: Siloed bid data; no centralized CRM or BI for win/loss analysis; manual spreadsheet-based pricing; no API integration with market data providers (e.g., Baupreisindex, competitor intelligence platforms)
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Nonresidential Building Construction.
Affected Stakeholders
Angebotskalkulator (Bid Estimator), Vertrieb/Geschäftsentwicklung (Sales/BD), CFO/Controlling (Margin analytics)
Deep Analysis (Premium)
Financial Impact
Financial data and detailed analysis available with full access. Unlock to see exact figures, evidence sources, and actionable insights.
Current Workarounds
Financial data and detailed analysis available with full access. Unlock to see exact figures, evidence sources, and actionable insights.
Get Solutions for This Problem
Full report with actionable solutions
- Solutions for this specific pain
- Solutions for all 15 industry pains
- Where to find first clients
- Pricing & launch costs
Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Volatilität in der Kostenschätzung und Materialpreisinflation
GoBD Verstöße und Betriebsprüfungs-Risiken in Angebotsdokumentation
Manuelle Angebotsbearbeitung und Bottleneck-Kosten durch fehlende Automatisierung
Verzögerte Retentionszahlung und Cash-Flow-Belastung
GoBD-Konformität bei Retentionsabrechnung und Prüfungsrisiko
Unbilled Retention und Invoicing Errors bei Rechnungskonvertierung
Request Deep Analysis
🇩🇪 Be first to access this market's intelligence