Growth Factors of AI in packaging Market
The global AI in packaging market is undergoing transformative growth as industries accelerate automation, sustainability initiatives, and intelligent packaging design. According to the report, the market was valued at USD 2.52 billion in 2024, is forecast to rise to USD 2.84 billion in 2025, and is expected to reach USD 6.89 billion by 2032, reflecting a strong CAGR of 13.51%. The increasing integration of machine learning, computer vision, and predictive analytics in packaging systems is propelling the sector toward greater efficiency, reduced waste, and enhanced product traceability. North America dominated the market with a 38.89% share in 2024, driven by early technology adoption, high R&D investments, and robust packaging innovation across the food, retail, and healthcare sectors.
Artificial intelligence is revolutionizing packaging operations-from automated inspection and labeling to advanced design optimization and smart inventory management. AI tools analyze vast datasets to streamline material usage, enhance recyclability, and support companies in meeting tightening sustainability regulations. With industries shifting toward eco-friendly materials and connected packaging technologies, AI has become indispensable for modern supply chains seeking transparency, precision, and speed.
Market Dynamics
Market Driver - AI Supports Sustainable, Eco-friendly Packaging Innovation
The packaging industry's rising focus on environmental responsibility is creating strong momentum for AI-based solutions. AI helps manufacturers design lighter, more recyclable, and biodegradable packaging by simulating performance across materials and shapes. Machine learning tools optimize structural design to reduce material waste, while AI-powered life cycle assessment systems evaluate environmental impacts from production to disposal. These capabilities support the development of compostable materials and circular economy models, accelerating the transition to low-waste packaging.
Market Driver - Automation Enhances Speed, Quality, and Cost Efficiency
AI-driven automation is redefining production efficiency. Computer vision systems detect defects and labeling errors instantaneously, improving quality control and reducing human error. AI-enhanced robotics perform sorting, picking, and packing with precision, enabling faster production cycles. Predictive maintenance reduces equipment downtime by forecasting early failures. Altogether, AI automation lowers operational costs, boosts throughput, and strengthens safety and compliance-making it a critical growth engine for the AI in packaging market.
Market Restraint - Rising Data Privacy & Security Risks
The growing adoption of data-intensive AI systems has increased exposure to cybersecurity threats. Packaging solutions that use AI for personalization, tracking, and automation often store sensitive operational, customer, or supply chain information. Data breaches, unauthorized access, and regulatory non-compliance with GDPR and CCPA pose major barriers. Companies must invest in strong data protection architecture to ensure trust and maintain market competitiveness.
Market Opportunity - Smart, Connected Packaging Opens New Revenue Streams
Demand for interactive, intelligent packaging is accelerating. Smart packaging equipped with sensors, QR codes, and AI-enabled data platforms enhances product authenticity verification, freshness monitoring, and consumer engagement. AI tools also support advanced material modeling for recyclable and lightweight designs, aligning with global sustainability goals. As e-commerce surges and brands seek personalized packaging, AI's ability to predict demand and customize designs offers substantial market opportunities.
Market Trends
A major market trend is the adoption of machine learning and AI-powered robotics. ML algorithms optimize production schedules, predict supply chain bottlenecks, and reduce inventory waste. AI-enabled robots equipped with computer vision enhance precision in sorting and palletizing operations. Intelligent packaging that responds to temperature, humidity, and contamination is gaining traction, boosting real-time supply chain visibility and customer engagement.
Segmentation Insights
By Technology
Machine learning held the largest market share in 2024 due to its wide applicability in forecasting, automation, and real-time decision-making.
Computer vision followed as industries adopt automated inspection and quality monitoring systems.
By Application
Packaging design and customization led the market, driven by demand for personalized, sustainable, and brand-differentiated packaging solutions.
Quality control and inspection ranked second, benefiting from the need for precision and regulatory compliance.
By End-use Industry
The food & beverage sector dominated in 2024 due to stricter safety standards, shelf-life optimization needs, and growing demand for smart labeling.
Healthcare was the second-largest segment, with AI supporting anti-counterfeiting, traceability, and tamper detection.
Regional Insights
North America - Market Leader
North America generated USD 0.98 billion in 2024, supported by strong AI adoption, high R&D spending, and advanced manufacturing infrastructure. The region's healthcare investments-such as U.S. health expenditures reaching USD 4.9 trillion in 2023-further fuel demand for AI-enabled packaging.
Europe
Europe's market is shaped by environmental regulations, Industry 4.0 deployment, and strong demand for bioplastics and recyclable packaging. Government funding and cross-border technology collaboration support rapid adoption.
Asia Pacific
Asia Pacific is expanding rapidly due to manufacturing growth, booming e-commerce, and government-led AI adoption initiatives. Southeast Asia led global e-commerce growth with 20.6% expansion in 2022.
Latin America & Middle East/Africa
Latin America benefits from industrial automation, rising consumption of packaged food, and foreign investments.
The Middle East & Africa sees growth driven by food, healthcare, and industrial modernization, along with rising awareness of AI advantages.
Conclusion
Growing from USD 2.52 billion in 2024 to USD 6.89 billion by 2032, the AI in packaging market is set for rapid expansion. As sustainability pressures intensify and automation becomes essential, AI will continue to reshape packaging design, production, and supply chain systems through 2032.
By Technology, Application, End-use Industry, and Region
Segmentation By Technology
- Machine Learning
- Computer Vision
- Natural Language Processing
- Predictive Analysis
- Others
By Application
- Packaging Design and Customization
- Quality Control and Inspection
- Data Labeling
- Smart Warehousing
- AI-based Recycling Systems
- Others
By End-use Industry
- Food and Beverage
- Healthcare
- Personal Care & Cosmetics
- Consumer Electronics
- E-commerce & Retail
- Others
By Region
- North America (By Technology, Application, End-use Industry, and Country)
- U.S. (By End-use Industry)
- Canada (By End-use Industry)
- Europe (By Technology, Application, End-use Industry, and Country)
- Germany (By End-use Industry)
- U.K. (By End-use Industry)
- France (By End-use Industry)
- Spain (By End-use Industry)
- Russia (By End-use Industry)
- Italy (By End-use Industry)
- Poland (By End-use Industry)
- Romania (By End-use Industry)
- Rest of Europe (By End-use Industry)
- Asia Pacific (By Technology, Application, End-use Industry, and Country)
- China (By End-use Industry)
- India (By End-use Industry)
- Japan (By End-use Industry)
- Australia (By End-use Industry)
- Southeast Asia (By End-use Industry)
- Rest of Asia Pacific (By End-use Industry)
- Latin America (By Technology, Application, End-use Industry, and Country)
- Brazil (By End-use Industry)
- Mexico (By End-use Industry)
- Argentina (By End-use Industry)
- Rest of Latin America (By End-use Industry)
- Middle East & Africa (By Technology, Application, End-use Industry, and Country)
- Saudi Arabia (By End-use Industry)
- UAE (By End-use Industry)
- Oman (By End-use Industry)
- South Africa (By End-use Industry)
- Rest of the Middle East & Africa (By End-use Industry)
Table of Content
1. Introduction
- 1.1. Research Scope
- 1.2. Market Segmentation
- 1.3. Research Methodology
- 1.4. Definitions and Assumptions
2. Executive Summary
3. Market Dynamics
- 3.1. Market Drivers
- 3.2. Market Restraints
- 3.3. Market Opportunities
4. Key Insights
- 4.1. Key Emerging Trends - For Major Countries
- 4.2. Latest Technological Advancement
- 4.3. Regolatory Landscape
- 4.4. Porters Five Forces Analysis
- 4.5. Value Chain Analysis
- 4.6. Macro-economic factors
- 4.7. Global Packaging Industry Outlook
- 4.8. Impact of Tariffs on the AI in Packaging Market
5. Global AI in Packaging Market Analysis (USD Billion), Insights and Forecast, 2019-2032
- 5.1. Key Findings / Summary
- 5.2. Market Analysis, Insights and Forecast - By Technology
- 5.2.1. Machine Learning
- 5.2.2. Computer Vision
- 5.2.3. Natural Language Processing
- 5.2.4. Predictive Analysis
- 5.2.5. Others
- 5.3. Market Analysis, Insights and Forecast - By Application
- 5.3.1. Packaging Design and Customization
- 5.3.2. Quality Control and Inspection
- 5.3.3. Data Labeling
- 5.3.4. Smart Warehousing
- 5.3.5. AI-based Recycling Systems
- 5.3.6. Others
- 5.4. Market Analysis, Insights and Forecast - By End-use Industry
- 5.4.1. Food and Beverage
- 5.4.2. Healthcare
- 5.4.3. Personal Care & Cosmetics
- 5.4.4. Consumer Electronics
- 5.4.5. E-commerce & Retail
- 5.4.6. Others
- 5.5. Market Analysis, Insights and Forecast - By Region
- 5.5.1. North America
- 5.5.2. Europe
- 5.5.3. Asia Pacific
- 5.5.4. Latin America
- 5.5.5. Middle East & Africa
6. North America AI in Packaging Market Analysis (USD Billion), Insights and Forecast, 2019-2032
- 6.1. Key Findings / Summary
- 6.2. Market Analysis, Insights and Forecast - By Technology
- 6.2.1. Machine Learning
- 6.2.2. Computer Vision
- 6.2.3. Natural Language Processing
- 6.2.4. Predictive Analysis
- 6.2.5. Others
- 6.3. Market Analysis, Insights and Forecast - By Application
- 6.3.1. Packaging Design and Customization
- 6.3.2. Quality Control and Inspection
- 6.3.3. Data Labeling
- 6.3.4. Smart Warehousing
- 6.3.5. AI-based Recycling Systems
- 6.3.6. Others
- 6.4. Market Analysis, Insights and Forecast - By End-use Industry
- 6.4.1. Food and Beverage
- 6.4.2. Healthcare
- 6.4.3. Personal Care & Cosmetics
- 6.4.4. Consumer Electronics
- 6.4.5. E-commerce & Retail
- 6.4.6. Others
- 6.5. Market Analysis, Insights and Forecast - By Country
- 6.5.1. S. Market Analysis, Insights and Forecast - By End-use Industry
- 6.5.1.1. Food and Beverage
- 6.5.1.2. Healthcare
- 6.5.1.3. Personal Care & Cosmetics
- 6.5.1.4. Consumer Electronics
- 6.5.1.5. E-commerce & Retail
- 6.5.1.6. Others
- 6.5.2. Canada Market Analysis, Insights and Forecast - By End-use Industry
- 6.5.2.1. Food and Beverage
- 6.5.2.2. Healthcare
- 6.5.2.3. Personal Care & Cosmetics
- 6.5.2.4. Consumer Electronics
- 6.5.2.5. E-commerce & Retail
- 6.5.2.6. Others
7. Europe AI in Packaging Market Analysis (USD Billion), Insights and Forecast, 2019-2032
- 7.1. Key Findings / Summary
- 7.2. Market Analysis, Insights and Forecast - By Technology
- 7.2.1. Machine Learning
- 7.2.2. Computer Vision
- 7.2.3. Natural Language Processing
- 7.2.4. Predictive Analysis
- 7.2.5. Others
- 7.3. Market Analysis, Insights and Forecast - By Application
- 7.3.1. Packaging Design and Customization
- 7.3.2. Quality Control and Inspection
- 7.3.3. Data Labeling
- 7.3.4. Smart Warehousing
- 7.3.5. AI-based Recycling Systems
- 7.3.6. Others
- 7.4. Market Analysis, Insights and Forecast - By End-use Industry
- 7.4.1. Food and Beverage
- 7.4.2. Healthcare
- 7.4.3. Personal Care & Cosmetics
- 7.4.4. Consumer Electronics
- 7.4.5. E-commerce & Retail
- 7.4.6. Others
- 7.5. Market Analysis, Insights and Forecast - By Country
- 7.5.1. Germany Market Analysis, Insights and Forecast - By End-use Industry
- 7.5.1.1. Food and Beverage
- 7.5.1.2. Healthcare
- 7.5.1.3. Personal Care & Cosmetics
- 7.5.1.4. Consumer Electronics
- 7.5.1.5. E-commerce & Retail
- 7.5.1.6. Others
- 7.5.2. K. Market Analysis, Insights and Forecast - By End-use Industry
- 7.5.2.1. Food and Beverage
- 7.5.2.2. Healthcare
- 7.5.2.3. Personal Care & Cosmetics
- 7.5.2.4. Consumer Electronics
- 7.5.2.5. E-commerce & Retail
- 7.5.2.6. Others
- 7.5.3. France Market Analysis, Insights and Forecast - By End-use Industry
- 7.5.3.1. Food and Beverage
- 7.5.3.2. Healthcare
- 7.5.3.3. Personal Care & Cosmetics
- 7.5.3.4. Consumer Electronics
- 7.5.3.5. E-commerce & Retail
- 7.5.3.6. Others
- 7.5.4. Spain Market Analysis, Insights and Forecast - By End-use Industry
- 7.5.4.1. Food and Beverage
- 7.5.4.2. Healthcare
- 7.5.4.3. Personal Care & Cosmetics
- 7.5.4.4. Consumer Electronics
- 7.5.4.5. E-commerce & Retail
- 7.5.4.6. Others
- 7.5.5. Italy Market Analysis, Insights and Forecast - By End-use Industry
- 7.5.5.1. Food and Beverage
- 7.5.5.2. Healthcare
- 7.5.5.3. Personal Care & Cosmetics
- 7.5.5.4. Consumer Electronics
- 7.5.5.5. E-commerce & Retail
- 7.5.5.6. Others
- 7.5.6. Russia Market Analysis, Insights and Forecast - By End-use Industry
- 7.5.6.1. Food and Beverage
- 7.5.6.2. Healthcare
- 7.5.6.3. Personal Care & Cosmetics
- 7.5.6.4. Consumer Electronics
- 7.5.6.5. E-commerce & Retail
- 7.5.6.6. Others
- 7.5.7. Poland Market Analysis, Insights and Forecast - By End-use Industry
- 7.5.7.1. Food and Beverage
- 7.5.7.2. Healthcare
- 7.5.7.3. Personal Care & Cosmetics
- 7.5.7.4. Consumer Electronics
- 7.5.7.5. E-commerce & Retail
- 7.5.7.6. Others
- 7.5.8. Romania Market Analysis, Insights and Forecast - By End-use Industry
- 7.5.8.1. Food and Beverage
- 7.5.8.2. Healthcare
- 7.5.8.3. Personal Care & Cosmetics
- 7.5.8.4. Consumer Electronics
- 7.5.8.5. E-commerce & Retail
- 7.5.8.6. Others
- 7.5.9. Rest of Europe Market Analysis, Insights and Forecast - By End-use Industry
- 7.5.9.1. Food and Beverage
- 7.5.9.2. Healthcare
- 7.5.9.3. Personal Care & Cosmetics
- 7.5.9.4. Consumer Electronics
- 7.5.9.5. E-commerce & Retail
- 7.5.9.6. Others
8. Asia Pacific AI in Packaging Market Analysis (USD Billion), Insights and Forecast, 2019-2032
- 8.1. Key Findings / Summary
- 8.2. Market Analysis, Insights and Forecast - By Technology
- 8.2.1. Machine Learning
- 8.2.2. Computer Vision
- 8.2.3. Natural Language Processing
- 8.2.4. Predictive Analysis
- 8.2.5. Others
- 8.3. Market Analysis, Insights and Forecast - By Application
- 8.3.1. Packaging Design and Customization
- 8.3.2. Quality Control and Inspection
- 8.3.3. Data Labeling
- 8.3.4. Smart Warehousing
- 8.3.5. AI-based Recycling Systems
- 8.3.6. Others
- 8.4. Market Analysis, Insights and Forecast - By End-use Industry
- 8.4.1. Food and Beverage
- 8.4.2. Healthcare
- 8.4.3. Personal Care & Cosmetics
- 8.4.4. Consumer Electronics
- 8.4.5. E-commerce & Retail
- 8.4.6. Others
- 8.5. Market Analysis, Insights and Forecast - By Country
- 8.5.1. China Market Analysis, Insights and Forecast - By End-use Industry
- 8.5.1.1. Food and Beverage
- 8.5.1.2. Healthcare
- 8.5.1.3. Personal Care & Cosmetics
- 8.5.1.4. Consumer Electronics
- 8.5.1.5. E-commerce & Retail
- 8.5.1.6. Others
- 8.5.2. India Market Analysis, Insights and Forecast - By End-use Industry
- 8.5.2.1. Food and Beverage
- 8.5.2.2. Healthcare
- 8.5.2.3. Personal Care & Cosmetics
- 8.5.2.4. Consumer Electronics
- 8.5.2.5. E-commerce & Retail
- 8.5.2.6. Others
- 8.5.3. Japan Market Analysis, Insights and Forecast - By End-use Industry
- 8.5.3.1. Food and Beverage
- 8.5.3.2. Healthcare
- 8.5.3.3. Personal Care & Cosmetics
- 8.5.3.4. Consumer Electronics
- 8.5.3.5. E-commerce & Retail
- 8.5.3.6. Others
- 8.5.4. Australia Market Analysis, Insights and Forecast - By End-use Industry
- 8.5.4.1. Food and Beverage
- 8.5.4.2. Healthcare
- 8.5.4.3. Personal Care & Cosmetics
- 8.5.4.4. Consumer Electronics
- 8.5.4.5. E-commerce & Retail
- 8.5.4.6. Others
- 8.5.5. Southeast Asia Market Analysis, Insights and Forecast - By End-use Industry
- 8.5.5.1. Food and Beverage
- 8.5.5.2. Healthcare
- 8.5.5.3. Personal Care & Cosmetics
- 8.5.5.4. Consumer Electronics
- 8.5.5.5. E-commerce & Retail
- 8.5.5.6. Others
- 8.5.6. Rest of Asia Pacific Market Analysis, Insights and Forecast - By End-use Industry
- 8.5.6.1. Food and Beverage
- 8.5.6.2. Healthcare
- 8.5.6.3. Personal Care & Cosmetics
- 8.5.6.4. Consumer Electronics
- 8.5.6.5. E-commerce & Retail
- 8.5.6.6. Others
9. Latin America AI in Packaging Market Analysis (USD Billion), Insights and Forecast, 2019-2032
- 9.1. Key Findings / Summary
- 9.2. Market Analysis, Insights and Forecast - By Technology
- 9.2.1. Machine Learning
- 9.2.2. Computer Vision
- 9.2.3. Natural Language Processing
- 9.2.4. Predictive Analysis
- 9.2.5. Others
- 9.3. Market Analysis, Insights and Forecast - By Application
- 9.3.1. Packaging Design and Customization
- 9.3.2. Quality Control and Inspection
- 9.3.3. Data Labeling
- 9.3.4. Smart Warehousing
- 9.3.5. AI-based Recycling Systems
- 9.3.6. Others
- 9.4. Market Analysis, Insights and Forecast - By End-use Industry
- 9.4.1. Food and Beverage
- 9.4.2. Healthcare
- 9.4.3. Personal Care & Cosmetics
- 9.4.4. Consumer Electronics
- 9.4.5. E-commerce & Retail
- 9.4.6. Others
- 9.5. Market Analysis, Insights and Forecast - By Country
- 9.5.1. Brazil Market Analysis, Insights and Forecast - By End-use Industry
- 9.5.1.1. Food and Beverage
- 9.5.1.2. Healthcare
- 9.5.1.3. Personal Care & Cosmetics
- 9.5.1.4. Consumer Electronics
- 9.5.1.5. E-commerce & Retail
- 9.5.1.6. Others
- 9.5.2. Mexico Market Analysis, Insights and Forecast - By End-use Industry
- 9.5.2.1. Food and Beverage
- 9.5.2.2. Healthcare
- 9.5.2.3. Personal Care & Cosmetics
- 9.5.2.4. Consumer Electronics
- 9.5.2.5. E-commerce & Retail
- 9.5.2.6. Others
- 9.5.3. Argentina Market Analysis, Insights and Forecast - By End-use Industry
- 9.5.3.1. Food and Beverage
- 9.5.3.2. Healthcare
- 9.5.3.3. Personal Care & Cosmetics
- 9.5.3.4. Consumer Electronics
- 9.5.3.5. E-commerce & Retail
- 9.5.3.6. Others
- 9.5.4. Rest of Latin America Market Analysis, Insights and Forecast - By End-use Industry
- 9.5.4.1. Food and Beverage
- 9.5.4.2. Healthcare
- 9.5.4.3. Personal Care & Cosmetics
- 9.5.4.4. Consumer Electronics
- 9.5.4.5. E-commerce & Retail
- 9.5.4.6. Others
10. Middle East & Africa AI in Packaging Market Analysis (USD Billion), Insights and Forecast, 2019-2032
- 10.1. Key Findings / Summary
- 10.2. Market Analysis, Insights and Forecast - By Technology
- 10.2.1. Machine Learning
- 10.2.2. Computer Vision
- 10.2.3. Natural Language Processing
- 10.2.4. Predictive Analysis
- 10.2.5. Others
- 10.3. Market Analysis, Insights and Forecast - By Application
- 10.3.1. Packaging Design and Customization
- 10.3.2. Quality Control and Inspection
- 10.3.3. Data Labeling
- 10.3.4. Smart Warehousing
- 10.3.5. AI-based Recycling Systems
- 10.3.6. Others
- 10.4. Market Analysis, Insights and Forecast - By End-use Industry
- 10.4.1. Food and Beverage
- 10.4.2. Healthcare
- 10.4.3. Personal Care & Cosmetics
- 10.4.4. Consumer Electronics
- 10.4.5. E-commerce & Retail
- 10.4.6. Others
- 10.5. Market Analysis, Insights and Forecast - By Country
- 10.5.1. Saudi Arabia Market Analysis, Insights and Forecast - By End-use Industry
- 10.5.1.1. Food and Beverage
- 10.5.1.2. Healthcare
- 10.5.1.3. Personal Care & Cosmetics
- 10.5.1.4. Consumer Electronics
- 10.5.1.5. E-commerce & Retail
- 10.5.1.6. Others
- 10.5.2. UAE Market Analysis, Insights and Forecast - By End-use Industry
- 10.5.2.1. Food and Beverage
- 10.5.2.2. Healthcare
- 10.5.2.3. Personal Care & Cosmetics
- 10.5.2.4. Consumer Electronics
- 10.5.2.5. E-commerce & Retail
- 10.5.2.6. Others
- 10.5.3. Oman Market Analysis, Insights and Forecast - By End-use Industry
- 10.5.3.1. Food and Beverage
- 10.5.3.2. Healthcare
- 10.5.3.3. Personal Care & Cosmetics
- 10.5.3.4. Consumer Electronics
- 10.5.3.5. E-commerce & Retail
- 10.5.3.6. Others
- 10.5.4. South Africa Market Analysis, Insights and Forecast - By End-use Industry
- 10.5.4.1. Food and Beverage
- 10.5.4.2. Healthcare
- 10.5.4.3. Personal Care & Cosmetics
- 10.5.4.4. Consumer Electronics
- 10.5.4.5. E-commerce & Retail
- 10.5.4.6. Others
- 10.5.5. Rest of Middle East & Africa Market Analysis, Insights and Forecast - By End-use Industry
- 10.5.5.1. Food and Beverage
- 10.5.5.2. Healthcare
- 10.5.5.3. Personal Care & Cosmetics
- 10.5.5.4. Consumer Electronics
- 10.5.5.5. E-commerce & Retail
- 10.5.5.6. Others
11. Competitive Analysis
- 11.1. Company Market Share Analysis, 2024
- 11.2. Company Profile
- 11.2.1. Tetra Pak Group
- 11.2.1.1. Business Overview
- 11.2.1.2. Product & Service Offering
- 11.2.1.3. Financials
- 11.2.1.4. Recent Development
- 11.2.2. Stora Enso OyJ
- 11.2.2.1. Business Overview
- 11.2.2.2. Product & Service Offering
- 11.2.2.3. Financials
- 11.2.2.4. Recent Development
- 11.2.3. Greif Inc.
- 11.2.3.1. Business Overview
- 11.2.3.2. Product & Service Offering
- 11.2.3.3. Financials
- 11.2.3.4. Recent Development
- 11.2.4. Ardagh Group
- 11.2.4.1. Business Overview
- 11.2.4.2. Product & Service Offering
- 11.2.4.3. Financials
- 11.2.4.4. Recent Development
- 11.2.5. Sealed Air Corporation
- 11.2.5.1. Business Overview
- 11.2.5.2. Product & Service Offering
- 11.2.5.3. Financials
- 11.2.5.4. Recent Development
- 11.2.6. Berry Global
- 11.2.6.1. Business Overview
- 11.2.6.2. Product & Service Offering
- 11.2.6.3. Financials
- 11.2.6.4. Recent Development
- 11.2.7. OJI Holdings Corporation
- 11.2.7.1. Business Overview
- 11.2.7.2. Product & Service Offering
- 11.2.7.3. Financials
- 11.2.7.4. Recent Development
- 11.2.8. Avery Dennison Corp.
- 11.2.8.1. Business Overview
- 11.2.8.2. Product & Service Offering
- 11.2.8.3. Financials
- 11.2.8.4. Recent Development
- 11.2.9. Gerreshiemer AG
- 11.2.9.1. Business Overview
- 11.2.9.2. Product & Service Offering
- 11.2.9.3. Financials
- 11.2.9.4. Recent Development
- 11.2.10. Georgia Pacific
- 11.2.10.1. Business Overview
- 11.2.10.2. Product & Service Offering
- 11.2.10.3. Financials
- 11.2.10.4. Recent Development
- 11.2.11. Sonoco
- 11.2.11.1. Business Overview
- 11.2.11.2. Product & Service Offering
- 11.2.11.3. Financials
- 11.2.11.4. Recent Development
- 11.2.12. Amcor Plc
- 11.2.12.1. Business Overview
- 11.2.12.2. Product & Service Offering
- 11.2.12.3. Financials
- 11.2.12.4. Recent Development