Artificial intelligence (AI) is undoubtedly one of the most prominent technology themes in the packaging industry. While years of bold claims have led to AI becoming seriously overhyped, we are moving past this phase, and packaging companies are beginning to see the tangible benefits of AI and its role within Industry 4.0.
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According to GlobalData’s Global Emerging Technology Trends Survey 2020, 21% of packaging sector executives believe that AI is already disrupting their sector, and 41% of respondents believe that AI will disrupt the packaging sector in the next 12 months.
Leading packaging AI packaging companies
Within the packaging sector, some companies have a more mature AI strategy than others.
In the coming years, AI as a service (AIaaS) will drive uptake. AI technologies hosted in the cloud and delivered as a service will increasingly enable businesses to rent rather than build an AI platform. AI technologies require a lot of data and computing power, two things not all companies possess. The cloud has democratised the use of AI and made the technology available to new customers. Through on-demand access to algorithms and application programming interfaces (APIs) using a pay-as-you-go model, AI becomes both scalable and affordable.
Machine learning (ML) is the most applied AI technology within the packaging sector. Companies are using ML for predictive maintenance and to improve their cybersecurity defences. Computer vision (CV) is another important investment area used to carry out automated visual inspections. Companies are also experimenting with smart robots that automate repetitive tasks, freeing up human workers for higher-value tasks.
Leading adopters of AI in packaging include SIG Combibloc, Tetra Pak, Stora Enso, Metsä Board, Ardagh, Sealed Air, Mondi, Berry Global, Westrock, Verallia, DS Smith, and Georgia-Pacific.
Discover the leading AI in the packaging industry
Using its experience in the sector, Packaging Gateway has listed some of the leading companies providing products and services related to artificial intelligence.
The information provided in the download document is drafted for packaging executives and technology leaders involved in packaging AI solutions.
The download contains detailed information on suppliers and their product offerings, alongside contact details to aid purchase or hiring decisions.
Amongst the leading suppliers of AI packaging solutions are Amazon, Microsoft, GE Digital, ABB, Otto Motors, Universal Robots, Clarifai, Neurala, Basler, Deepsense.ai Osaro and SparkCognition.
Future of artificial intelligence in the packaging industry
Covid-19 acted as a catalyst for AI adoption and significantly boosted digital transformation. Throughout the pandemic, companies used AI to automate tasks and make data-driven decisions.
According to GlobalData forecasts, spending on AI platforms by manufacturing companies will reach $7.1bn globally by 2024, having grown at a compound annual growth rate (CAGR) of 19.6% between 2019 and 2024.
For full details (including contact details) on the leading companies providing Artificial Intelligence in the Packaging Industry, download the free Buyer’s Guide below:
Frequently asked questions
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How is artificial intelligence transforming the packaging industry?
Artificial intelligence (AI) is transforming the packaging industry by automating processes, improving efficiency, and enhancing quality control. AI-driven solutions like machine learning enable predictive maintenance, reducing downtime in manufacturing. Computer vision technologies assist with automated visual inspections, identifying defects, and ensuring packaging consistency. Additionally, AI helps optimise supply chains, improving operational efficiencies and minimising costs.
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What are the key AI technologies used in packaging?
The main AI technologies in packaging include machine learning (ML), computer vision, and AI-powered robotics. ML is primarily used for predictive maintenance and improving cybersecurity in packaging operations. Computer vision assists with automating quality inspections by identifying packaging defects in real time. AI-powered robots are increasingly employed to perform repetitive tasks such as sorting, labelling, and packaging, enhancing production speed and accuracy.
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How does AI improve sustainability in packaging?
AI supports sustainability by optimising resource use and reducing waste in the packaging process. Through data analysis and predictive algorithms, AI helps companies minimise material usage and energy consumption. AI can also aid in designing packaging solutions that are more environmentally friendly, using fewer resources while maintaining product safety and quality. Additionally, AI helps monitor the entire supply chain, ensuring sustainability practices are followed from production to distribution.
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How does AI assist in quality control within packaging operations?
AI enhances quality control by using computer vision to detect packaging defects such as misalignment, incorrect labelling, or seal integrity issues. These systems operate in real time, providing immediate feedback and corrections. This reduces product recalls and ensures higher levels of consistency. AI-driven predictive maintenance also ensures machines remain in optimal working condition, further improving production quality and efficiency.
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Which companies are leading in AI solutions for the packaging industry?
Several companies are leading the AI revolution in packaging, including SIG Combibloc, Tetra Pak, and Stora Enso. These companies are integrating AI into their production processes for predictive maintenance, automated quality control, and supply chain optimisation. Technology giants like Amazon and Microsoft also offer AI-as-a-service solutions that enable smaller packaging companies to leverage AI without significant investment in infrastructure.