Smart packaging describes the integration of sensors, indicators, and wireless communication into packaging to enhance user engagement, product quality, convenience, and efficiency. The extremely large addressable market, covering everything from cardboard delivery boxes to the luxurious packaging of spirits and perfumes, makes smart packaging a compelling commercial opportunity.
Existing successes include RFID tags and QR codes, both of which are widely adopted. More sophisticated smart packaging comprising sensors and/or location tracking is generally at an earlier stage, particularly at item-level; finding a use case and business model that justifies the additional packaging cost is essential. Promising applications gaining traction include monitoring prescription compliance via electronic blister packs, embedding lighting in publicly displayed packaging of high value items such as spirits, and tracking 'reusable transport infrastructure' such as crates.
In this webinar Dr Matthew Dyson, a Principal Technology Analyst at IDTechEx, will discuss the following topics:
- Multiple smart packaging technologies, including embedded lighting, wireless energy harvesting, flexible batteries, and low-cost sensing
- Case studies showing the deployment and adoption of different types of smart packaging, such as electronic blister packs for pharmaceuticals
- A roadmap for the adoption of different smart packaging technologies, and assessment of technology gaps and other adoption barriers
The webinar content is taken from the recently released IDTechEx report "Smart Packaging 2023-2033
", which identifies and assesses the opportunities associated with adding greater functionality to packaging. Drawing on 24 company profiles, IDTechEx provides technology insights and independent analysis into the players in smart packaging. The most productive potential use cases for smart packaging are identified, building on interviews with FMCG players and evaluated using 15 case studies. These opportunities spanning multiple technologies are quantified across 7 forecast categories.