INFORMATION & COMMUNICATION TECHNOLOGY
Global Smart Packaging Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Smart Packaging Market, By Technology (Active, Intelligent, and MAP), Industry (Food and Beverages, Automotive, Healthcare, Personal Care, and Others), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
Market Dynamics
- Advancements in technology
- Extended shelf life
- Costs and investment
- Privacy and security concerns
- Temperature-sensitive medication monitoring
- Environmental monitoring
- Limited industry standards
- Supply chain complexity
SEGMENTATION
- Technology
- Active
- Intelligent
- MAP
- Industry
- Food and Beverages
- Automotive
- Healthcare
- Personal Care
- Others
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- 3M
- TempTime Corporation
- BASF SE
- Stora Enso
- Thin Film Electronics ASA
- Huhtamaki Group
- Smartrac N.V.
- Avery Dennison
- PakSense
- American Thermal Instruments
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global Smart Packaging Market, by Technology
- 3.2 Global Smart Packaging Market, by Industry
- 3.3 Global Smart Packaging Market, by Geography
- 3.4 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Integration of IoT and AI
- 5.1.2 Enhanced consumer engagement
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Advancements in technology
- 5.2.2 Extended shelf life
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 Costs and investment
- 5.3.2 Privacy and security concerns
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Temperature-sensitive medication monitoring
- 5.4.2 Environmental monitoring
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Limited industry standards
- 5.5.2 Supply chain complexity
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL SMART PACKAGING MARKET, BY TECHNOLOGY
- 6.1 Technology Summary
- 6.2 Market Attractive Index
- 6.3 Global Smart Packaging Market, by Technology (2019-2032)
- SECTION 7 - GLOBAL SMART PACKAGING MARKET, BY INDUSTRY
- 7.1 Industry Summary
- 7.2 Market Attractive Index
- 7.3 Global Smart Packaging Market, by Industry (2019-2032)
- SECTION 8 - GLOBAL SMART PACKAGING MARKET, BY GEOGRAPHY
- 8.1 Regional Summary
- 8.2 Market Attractive Index
- 8.3 Global Smart Packaging Market, by Geography (2019-2032)
- SECTION 9 - NORTH AMERICA SMART PACKAGING MARKET
- 9.1 North America Summary
- 9.2 Market Attractive Index
- 9.3 North America Smart Packaging Market, by Technology (2019-2032)
- 9.4 North America Smart Packaging Market, by Industry (2019-2032)
- 9.5 North America Smart Packaging Market, by Country (2019-2032)
- 9.5.1 U.S.
- 9.5.2 Canada
- 9.5.3 Mexico
- 9.5.4 Rest of North America
- SECTION 10 - EUROPE SMART PACKAGING MARKET
- 10.1 Europe Summary
- 10.2 Market Attractive Index
- 10.3 Europe Smart Packaging Market, by Technology (2019-2032)
- 10.4 Europe Smart Packaging Market, by Industry (2019-2032)
- 10.5 Europe Smart Packaging Market, by Country (2019-2032)
- 10.5.1 Germany
- 10.5.2 U.K.
- 10.5.3 France
- 10.5.4 Italy
- 10.5.5 Spain
- 10.5.6 Russia
- 10.5.7 The Netherlands
- 10.5.8 Belgium
- 10.5.9 Turkey
- 10.5.10 Rest of Europe
- SECTION 11 - ASIA-PACIFIC SMART PACKAGING MARKET
- 11.1 Asia-Pacific Summary
- 11.2 Market Attractive Index
- 11.3 Asia-Pacific Smart Packaging Market, by Technology (2019-2032)
- 11.4 Asia-Pacific Smart Packaging Market, by Industry (2019-2032)
- 11.5 Asia-Pacific Smart Packaging Market, by Country (2019-2032)
- 11.5.1 China
- 11.5.2 India
- 11.5.3 Japan
- 11.5.4 South Korea
- 11.5.5 Singapore
- 11.5.6 Malaysia
- 11.5.7 Australia
- 11.5.8 Thailand
- 11.5.9 Philippines
- 11.5.10 Rest of Asia-Pacific
- SECTION 12 - SOUTH AMERICA SMART PACKAGING MARKET
- 12.1 South America Summary
- 12.2 Market Attractive Index
- 12.3 South America Smart Packaging Market, by Technology (2019-2032)
- 12.4 South America Smart Packaging Market, by Industry (2019-2032)
- 12.5 South America Smart Packaging Market, by Country (2019-2032)
- 12.5.1 Brazil
- 12.5.2 Argentina
- 12.5.3 Chile
- 12.5.4 Colombia
- 12.5.5 Rest of South America
- SECTION 13 - MIDDLE EAST AND AFRICA SMART PACKAGING MARKET
- 13.1 Middle East and Africa Summary
- 13.2 Market Attractive Index
- 13.3 Middle East and Africa Smart Packaging Market, by Technology (2019-2032)
- 13.4 Middle East and Africa Smart Packaging Market, by Industry (2019-2032)
- 13.5 Middle East and Africa Smart Packaging Market, by Country (2019-2032)
- 13.5.1 Kingdom of Saudi Arabia
- 13.5.2 South Africa
- 13.5.3 U.A.E.
- 13.5.4 Egypt
- 13.5.5 Rest of Middle East and Africa
- SECTION 14 - COMPANY SHARE ANALYSIS
- 14.1 Global Smart Packaging Market, Company Share Analysis
- 14.2 North America Smart Packaging Market, Company Share Analysis
- 14.3 Europe Smart Packaging Market, Company Share Analysis
- 14.4 Asia-Pacific Smart Packaging Market, Company Share Analysis
- SECTION 15 - COMPANY PROFILES
- 15.1 3M
- 15.1.1 Company Snapshot
- 15.1.2 Financial Overview
- 15.1.3 Product Portfolio
- 15.1.4 Recent Developments
- 15.2 TempTime Corporation
- 15.2.1 Company Snapshot
- 15.2.2 Financial Overview
- 15.2.3 Product Portfolio
- 15.2.4 Recent Developments
- 15.3 BASF SE
- 15.3.1 Company Snapshot
- 15.3.2 Financial Overview
- 15.3.3 Product Portfolio
- 15.3.4 Recent Developments
- 15.4 Stora Enso
- 15.4.1 Company Snapshot
- 15.4.2 Financial Overview
- 15.4.3 Product Portfolio
- 15.4.4 Recent Developments
- 15.5 Thin Film Electronics ASA
- 15.5.1 Company Snapshot
- 15.5.2 Financial Overview
- 15.5.3 Product Portfolio
- 15.5.4 Recent Developments
- 15.6 Huhtamaki Group
- 15.6.1 Company Snapshot
- 15.6.2 Financial Overview
- 15.6.3 Product Portfolio
- 15.6.4 Recent Developments
- 15.7 Smartrac N.V.
- 15.7.1 Company Snapshot
- 15.7.2 Financial Overview
- 15.7.3 Product Portfolio
- 15.7.4 Recent Developments
- 15.8 Avery Dennison
- 15.8.1 Company Snapshot
- 15.8.2 Financial Overview
- 15.8.3 Product Portfolio
- 15.8.4 Recent Developments
- 15.9 PakSense
- 15.9.1 Company Snapshot
- 15.9.2 Financial Overview
- 15.9.3 Product Portfolio
- 15.9.4 Recent Developments
- 15.10 American Thermal Instruments
- 15.10.1 Company Snapshot
- 15.10.2 Financial Overview
- 15.10.3 Product Portfolio
- 15.10.4 Recent Developments
- SECTION 16 - RELATED REPORTS
- SECTION 17 - DISCLAIMER
RESEARCH METHODOLOGY
RESEARCH AND DATA COLLECTION
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.