Key Takeaways
- Global spending on smart manufacturing is projected to reach about $335 billion by 2025 (IDC forecast), quantifying market momentum relevant to industrial digitalization
- The global digital transformation spending by manufacturing industries is projected to reach $1.1 trillion in 2027 (Gartner forecast figure reported by Gartner analysts via press materials), indicating large-scale budgets for transformation
- The global industrial IoT (IIoT) market is forecast to grow from $195.3 billion in 2022 to $499.3 billion in 2030 (MarketsandMarkets), quantifying expansion for connected factories
- The average time to contain a data breach in 2023 was 73 days (IBM Cost of a Data Breach report), informing operational risk and mitigation effort
- A Gartner analysis estimates that enterprise process mining can deliver ROI of up to 5x within 12–18 months (Gartner cited ranges), quantifying value potential from process digitization
- Ransomware caused 8% of breaches in 2023 and was among the fastest-growing breach types (Verizon DBIR), indicating increasing financial impact exposure for connected industrial environments
- In Gartner’s 2024 survey, 79% of organizations reported they have invested in data governance in some form (Gartner market survey cited by related press materials), supporting data readiness for digital transformation
- 63% of manufacturers reported that they are implementing or improving ERP systems in the next 12 months (manufacturing enterprise systems survey summarized by Panorama Consulting), indicating enterprise system modernization
- 47% of manufacturers say they have already implemented or are currently implementing IoT platforms (IoT platform adoption in manufacturing)
- 34% of organizations reported that process automation is improving operational efficiency by 10% or more (AT Kearney/industry automation surveys), quantifying effectiveness of automation initiatives
- Gartner reported that organizations using BPM/automation initiatives can improve process cycle times by 30% on average (Gartner cited benchmarks in automation research press materials), quantifying cycle-time improvements
- IBM reported that organizations using AI in supply chains achieved an average 10% improvement in forecasting accuracy (IBM customer outcome summary cited in IBM research), quantifying predictive benefit
- In the EU, 28.9% of plastic packaging waste was recycled in 2021 (Eurostat), supporting the context for digitalization in recycling process optimization
- EU recycling targets: 50% of plastic waste must be recycled by 2025 (European Commission target for packaging waste recycling—directive context summarized by EC), driving digital process controls and traceability
- The EU Packaging and Packaging Waste Regulation sets a 2040 target for all packaging to be recyclable by design (EU regulation timeline), increasing pressure for digital design-for-recycling workflows
Smart manufacturing investment is accelerating in plastics, boosting connected, data driven gains and IoT enabled resilience.
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01 · Category
Market Size7 stats
Market Size Interpretation
02 · Category
Cost Analysis3 stats
Cost Analysis Interpretation
03 · Category
User Adoption6 stats
User Adoption Interpretation
04 · Category
Performance Metrics9 stats
Performance Metrics Interpretation
More related reading
05 · Category
Industry Trends4 stats
Industry Trends Interpretation
06 · Category
Regulatory Drivers2 stats
Regulatory Drivers Interpretation
07 · Category
Cybersecurity & Risk2 stats
Cybersecurity & Risk Interpretation
08 · Category
Market Sizing2 stats
Market Sizing Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Catherine Wu. (2026, February 13). Digital Transformation In The Plastics Industry Statistics. Gitnux. https://gitnux.org/digital-transformation-in-the-plastics-industry-statistics
Catherine Wu. "Digital Transformation In The Plastics Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/digital-transformation-in-the-plastics-industry-statistics.
Catherine Wu. 2026. "Digital Transformation In The Plastics Industry Statistics." Gitnux. https://gitnux.org/digital-transformation-in-the-plastics-industry-statistics.
Sources & references
35 datasets cited across this report · attribution is report-level
+15 additional datasets cited (not shown individually)

