Global Intelligent Packaging Market

Report ID : 1435 | Published : 2022-11-11 | Pages: | Format: PDF/EXCEL

The market size of the Global Intelligent Packaging Market in the year 2021 is valued at 18.40 billion and is predicted to reach 38.67 billion by the year 2030 at an 8.89% CAGR during the forecast period.

The increasing demand for innovative packaging solutions from the food processing and pharmaceutical industries, rising consumer concern about decreasing food waste, and rising demand for innovative & functional packaging are the primary factors driving the market's growth. The growing e-commerce sector, greater industrialization, and strong demand for superior supply chain management would offer market participants lucrative opportunities. Additionally, this industry's companies today use labels for part identification and branding, which boosts demand for the market. However, the high initial costs of manufacture and execution will impede the market's expansion rate. The numerous technologically cutting-edge advancements offered by the top market players create lucrative chances for the industry's expansion. The lack of demand for these innovative solutions among consumers due to a lack of understanding is anticipated to further slow market growth, creating challenges for the industry. Sustainable packaging and increased demand for convenience foods like ready-to-cook meals drive the global market for advanced packaging technologies to rise rapidly. To diversify their product offerings, top manufacturers are placing a strong emphasis on introducing next-generation packaging solutions. Some players also plan to increase their production capacity to meet the rising demand from different industries, which is expected to propel the market growth during the forecast period.

Market Segmentation:

The intelligent packaging market is segmented based on technology, levels of packaging, and end users. Based on technology, the market is segmented as indicators, time-temperature indicators, gas & integrity indicators, freshness indicators, sensors, interactive packaging/data carriers, quick-response (Q.R. codes), barcodes, radio frequency identification (RFIDs), near field communications (NFC's), Bluetooth low energy (BLE), active packaging, oxygen scavengers, ethylene absorbers, moisture scavengers, anti-microbial packaging. By application, the market is segmented into bottles and jars, blisters, trays & clamshells, cans, boxes & cartons, vials, ampoules, & prefilled syringes, bags & pouches, films & wraps, mailers, labels, tapes, and others. By the end user, the market is segmented as food, meat, poultry, & seafood, fruits & vegetables, dairy products, bakery & confectionary, processed food, ready-to-eat food, others, beverage, healthcare, medical devices, medical supplies, pharmaceuticals, cosmetics, logistics & transport, consumer electronics, consumer goods, personal care & homecare, others. Based on levels of packaging, the market is segmented as primary, secondary, and tertiary.

The healthcare segment is a significant contributor to the intelligent packaging market based on end users.

The healthcare category is estimated to hold a major share of the global intelligent packaging market. The demand for intelligent packaging is growing due to strict transportation and packaging regulations for medical goods and medications. The demand for OTC (over-the-counter) medications has increased due to the rising elderly population and numerous chronic conditions. The number of medications available on the market has expanded thanks to advances in medical science and the outcomes of several pharmaceutical industry research and development initiatives.

The primary packaging segment witnessed growth at a rapid rate.

The primary packaging segment is projected to increase in the global intelligent packaging market. Primary packaging is the product's main line of defence against external deterioration, impurity, and destruction. Additionally, it keeps the product in storage for a long time. The primary packaging has many advantages, including stickability, proper presentation, ease of handling, and convenience. Growth in the intelligent packaging market is also fueled by lifestyle changes, rising income levels, and population growth. The growth prospects are anticipated to be brought on by technological innovation and the growing market penetration of leading industry players in the packaging sector.

The North American intelligent packaging market holds a significant regional revenue share.

North America is estimated to dominate the market for intelligent packaging and will maintain this pattern of dominance during the projection period. Due to the availability of the necessary infrastructure for smart manufacturing, shipping, and wrapping. The region's market is predicted to develop due to the region's expanding working population as well as the rising desire for interactive and better packaging solutions.

Additionally, Asia Pacific is predicted to have profitable growth. The strong demand for packaged food and related items necessitates additional attention and concern in the transport cycle. Other factors driving demand in the Asia Pacific smart packaging market include customers' urbanization and lifestyle changes in developing nations like China, India, and Thailand.

Competitive Landscape

The key players in the intelligent packaging market have shifted their focus towards bio-based components for product manufacturing and are initiating significant strategies such as mergers, acquisitions, and joint ventures of major and domestic players to enhance product portfolios and strengthen their market footprint across the globe. Some of the major key players in the intelligent packaging market are Material Provider, Dow Chemical Company, LyondellBasell Industries N.V., BASF SE, Exxon Mobil Corporation, Saudi Basic Industries Corporation, INEOS Group Limited, Eni S.p.A., LG Chemical, LANXESS AG, Chevron Phillips Chemical Company, LLC Packaging Manufacturers, Amcor plc., Crown Holding Inc., 3M Company, CCL Industries Inc., WestRock Company, Ball Corporation, Mondi Plc., International Paper Company, Georgia-Pacific LLC, UPM-Cymene Obj, Coveris Holdings S.A., DuPont Teijin Films U.S., Sigma Plastics Group, Technology Providers, Time strip UK Ltd, Barcode, Ltd, Tempie Corporation, Delta Trak, Inc., EVIDENCE SENSORS, JRI Company, Vista International AB, LAXCEN TECHNOLOGY INC, APK-ID, STARNFC Technologies Ltd., Brand Owners, Nestlé S.A., Coca-Cola Company, Johnson & Johnson, Pfizer Inc., Unilever PLC, Procter & Gamble Company, XPO Logistics, DHL Supply Chain, Amazon.com, Inc., Shopify Inc.

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Intelligent Packaging Market Snapshot

Chapter 4. Global Intelligent Packaging Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Investment and Funding Analysis

4.6. Industry Analysis – Porter’s Five Forces Analysis

4.7. Competitive Landscape & Market Share Analysis

4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by Technology Estimates & Trend Analysis

5.1. by Technology & Market Share, 2019 & 2030

5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2030 for the following by Technology:

5.2.1. Indicators

5.2.1.1. Time-Temperature Indicators

5.2.1.2. Gas & Integrity Indicators

5.2.1.3. Freshness Indicators

5.2.2. Sensors

5.2.3. Interactive Packaging/Data Carriers

5.2.3.1. Quick response (QR Codes)

5.2.3.2. Barcodes

5.2.3.3. Radio Frequency Identification (RFID)

5.2.3.4. Near Field Communications (NFCs)

5.2.3.5. Bluetooth Low Energy (BLE)

5.2.4. Active Packaging

5.2.4.1. Oxygen Scavengers

5.2.4.2. Ethylene Absorbers

5.2.4.3. Moisture Scavengers

5.2.4.4. Anti-microbial Packaging

Chapter 6. Market Segmentation 2: by Level of Packaging Estimates & Trend Analysis

6.1. by Level of Packaging & Market Share, 2019 & 2030

6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2030 for the following by Level of Packaging:

6.2.1. Primary Packaging

6.2.2. Secondary Packaging

6.2.3. Tertiary Packaging

Chapter 7. Market Segmentation 3: by Application Estimates & Trend Analysis

7.1. by Application & Market Share, 2019 & 2030

7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2030 for the following by Application:

7.2.1. Bottles and Jars

7.2.2. Blisters

7.2.3. Trays & Clamshells

7.2.4. Cans

7.2.5. Boxes & Cartons

7.2.6. Vials, Ampoules, & Prefilled Syringes

7.2.7. Bags & Pouches

7.2.8. Films & Wraps

7.2.9. Mailers

7.2.10. Labels, Tapes, & Tags

7.2.11. Others

Chapter 8. Market Segmentation 4: by End Use Estimates & Trend Analysis

8.1. by End Use & Market Share, 2019 & 2030

8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2030 for the following by End Use:

8.2.1. Food

8.2.1.1. Meat, Poultry, & Seafood

8.2.1.2. Fruits & Vegetables

8.2.1.3. Dairy Products

8.2.1.4. Bakery & Confectionary

8.2.1.5. Processed Food

8.2.1.6. Ready to Eat Food

8.2.1.7. Others

8.2.2. Beverage

8.2.3. Healthcare

8.2.3.1. Medical Devices

8.2.3.2. Medical Supplies

8.2.3.3. Pharmaceuticals

8.2.4. Cosmetics

8.2.5. Logistics & Transport

8.2.6. Consumer Electronics

8.2.7. Consumer Goods

8.2.8. Personal Care & Homecare

8.2.9. Others

Chapter 9. Intelligent Packaging Market Segmentation 5: Regional Estimates & Trend Analysis

9.1. North America

9.1.1. North America Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by Estimates and Forecasts by Technology, 2022-2030

9.1.2. North America Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by Estimates and Forecasts by Level of Packaging, 2022-2030

9.1.3. North America Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by Application, 2022-2030

9.1.4. North America Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by End Use, 2022-2030

9.1.5. North America Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by Estimates and Forecasts by country, 2022-2030

9.2. Europe

9.2.1. Europe Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by Technology, 2022-2030

9.2.2. Europe Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by Level of Packaging, 2022-2030

9.2.3. Europe Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by Application, 2022-2030

9.2.4. Europe Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by End Use, 2022-2030

9.2.5. Europe Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by country, 2022-2030

9.3. Asia Pacific

9.3.1. Asia Pacific Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by Technology, 2022-2030

9.3.2. Asia Pacific Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by Level of Packaging, 2022-2030

9.3.3. Asia-Pacific Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by Application, 2022-2030

9.3.4. Asia-Pacific Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by End Use, 2022-2030

9.3.5. Asia Pacific Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by country, 2022-2030

9.4. Latin America

9.4.1. Latin America Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by Technology, 2022-2030

9.4.2. Latin America Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by Level of Packaging, 2022-2030

9.4.3. Latin America Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by Application, 2022-2030

9.4.4. Latin America Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by End Use, 2022-2030

9.4.5. Latin America Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by country, 2022-2030

9.5. Middle East & Africa

9.5.1. Middle East & Africa Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by Technology, 2022-2030

9.5.2. Middle East & Africa Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by Level of Packaging, 2022-2030

9.5.3. Middle East & Africa Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by Application, 2022-2030

9.5.4. Middle East & Africa Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by End Use, 2022-2030

9.5.5. Middle East & Africa Intelligent Packaging Market Revenue (US$ Million) Estimates and Forecasts by by country, 2022-2030

Chapter 10. Competitive Landscape

10.1. Major Mergers and Acquisitions/Strategic Alliances

10.2. Company Profiles 

10.2.1. Material Providers

10.2.2. Dow Chemical Company

10.2.3. LyondellBasell Industries NV.

10.2.4. BASF SE

10.2.5. Exxon Mobil Corporation

10.2.6. Saudi Basic Industries Corporation

10.2.7. INEOS Group Limited

10.2.8. Eni S.p.A.

10.2.9. LG Chemical

10.2.10. LANXESS AG

10.2.11. Chevron Phillips Chemical Company, LLC

10.2.12. Packaging Manufacturers

10.2.13. Amcor plc.

10.2.14. Crown Holding Inc.

10.2.15. 3M Company

10.2.16. CCL Industries Inc.

10.2.17. Huhtamaki Global

10.2.18. DS Smith

10.2.19. Avery Dennison Corporation

10.2.20. Honeywell International Inc.

10.2.21. Tetra Pak International SA.

10.2.22. Sealed Air Corporation

10.2.23. Store Enso

10.2.24. WestRock Company

10.2.25. Ball Corporation

10.2.26. Mondi Plc.

10.2.27. International Paper Company

10.2.28. Georgia-Pacific LLC

10.2.29. UPM-Cymene Obj

10.2.30. Coveris Holdings SA.

10.2.31. DuPont Teijin Films US

10.2.32. Sigma Plastics Group

10.2.33. Technology Provider

10.2.34. Time strip UK Ltd

10.2.35. Var code, Ltd.

10.2.36. Tempie Corporation

10.2.37. Delta Trak, Inc.

10.2.38. EVIGENCE SENSORS

10.2.39. JRI Company

10.2.40. Vista International AB

10.2.41. LAXCEN TECHNOLOGY INC.

10.2.42. APK-ID

10.2.43. STARNFC Technologies Ltd.

10.2.44. Brand Owners

10.2.45. Nestlé S.A.

10.2.46. Coca-Cola Company

10.2.47. Johnson & Johnson

10.2.48. Pfizer Inc.

10.2.49. Unilever PLC

10.2.50. Procter & Gamble Company

10.2.51. XPO Logistics

10.2.52. DHL Supply Chain

10.2.53. Amazon.com, Inc.

10.2.54. Shopify Inc.

10.2.55. Other Prominent Players

By Technology:

  • Indicators
    • Time-Temperature Indicators
    • Gas & Integrity Indicators
    • Freshness Indicators
  • Sensors
  • Interactive Packaging/Data Carriers
    • Quick response (Q.R. Codes)
    • Barcodes
    • Radio Frequency Identification (RFIDs)
    • Near Field Communications (NFCs)
    • Bluetooth Low Energy (BLE)
  • Active Packaging
    • Oxygen Scavengers
    • Ethylene Absorbers
    • Moisture Scavengers
    • Anti-microbial Packaging

By Level of Packaging:

  • Primary Packaging
  • Secondary Packaging
  • Tertiary Packaging

By Application:

  • Bottles and Jars
  • Blisters
  • Trays & Clamshells
  • Cans
  • Boxes & Cartons
  • Vials, Ampoules, & Prefilled Syringes
  • Bags & Pouches
  • Films & Wraps
  • Mailers
  • Labels, Tapes, & Tags
  • Others

By End Use:

  • Food
  • Meat, Poultry, & Seafood
    • Fruits & Vegetables
    • Dairy Products
    • Bakery & Confectionary
    • Processed Food
    • Ready to Eat Food
    • Others
  • Beverage
  • Healthcare
    • Medical Devices
    • Medical Supplies
    • Pharmaceuticals
  • Cosmetics
  • Logistics & Transport
  • Consumer Electronics
  • Consumer Goods
  • Personal Care & Homecare
  • Others

By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

 

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