Artificial Intelligence (AI) in Packaging Market Report 2026

The artificial intelligence (AI) in packaging market size has grown rapidly in recent years. It will grow from $2.9 billion in 2025 to $3.23 billion in 2026 at a compound annual growth rate (CAGR) of 11.5%. The growth in the historic period can be attributed to increasing automation in packaging operations, rising demand for consistent packaging quality, growth in packaged food and beverage production, availability of machine learning technologies, expansion of industrial digitization.

The artificial intelligence (AI) in packaging market size is expected to see rapid growth in the next few years. It will grow to $5.02 billion in 2030 at a compound annual growth rate (CAGR) of 11.6%. The growth in the forecast period can be attributed to increasing investments in smart packaging technologies, rising focus on sustainable and waste-reducing packaging, expansion of ai-driven supply chain optimization, growing adoption of intelligent recycling systems, increased integration of ai with packaging machinery. Major trends in the forecast period include increasing adoption of ai-based quality inspection systems, growing use of computer vision in packaging lines, rising deployment of predictive analytics for packaging optimization, expansion of ai-enabled smart warehousing, enhanced focus on defect detection and waste reduction.

The rise of industrial IoT and automation operations is expected to drive the growth of artificial intelligence (AI) in the packaging market. The industrial Internet of Things (IIoT) involves integrating IoT technologies into industrial processes, while automation uses technology, control systems, and machinery to perform tasks with minimal human intervention. Incorporating AI in industrial automation for packaging enhances efficiency, adaptability, quality control, and system performance, supporting sustainability, energy efficiency, and the evolving demands of dynamic markets. The integration of IoT and AI in packaging has enabled smart systems that monitor and optimize packaging processes, reduce waste, and promote sustainability. For example, in April 2024, the International Federation of Robotics, a Germany-based industry association, reported a 12% increase in industrial robot installations, reaching 44,303 units in 2023. Consequently, industrial IoT and automation are fueling the growth of AI in the packaging market.

Leading players in the artificial intelligence (AI) in packaging space are increasingly emphasizing advanced technologies such as AI-enabled generative design and material-discovery solutions to address the growing demand for sustainable, high-performance, and cost-efficient packaging. This demand is being driven by tightening regulatory standards, rising consumer awareness regarding environmental impact, and the need for packaging solutions that maintain product freshness and extend shelf life. Generative-AI packaging platforms leverage large datasets of material characteristics to create new packaging materials or composites that would traditionally require years of experimentation through trial-and-error and lengthy laboratory processes. For example, in July 2025, Nestlé, a Switzerland-based food and beverage company, partnered with IBM Research, a US-based provider of AI-driven solutions for resource planning and decision optimization, to introduce a generative AI tool designed to identify innovative high-barrier packaging materials. The solution proposes material formulations that can withstand moisture, oxygen, and temperature fluctuations while maintaining recyclability and cost efficiency. It combines a chemical-language model trained on extensive public and proprietary materials data with a regression transformer that maps relationships between molecular structures and real-world barrier performance, significantly accelerating research and development timelines from years to just weeks or months.

In September 2025, Crane NXT, Co., a U.S.-based company specializing in security, detection, authentication, and packaging technology solutions, acquired a controlling stake in Antares Vision S.p.A. for an undisclosed sum. Through this acquisition, Crane NXT, Co. seeks to broaden and diversify its portfolio of inspection, detection, and track-and-trace technologies, reinforcing its presence across life sciences, food and beverage, and other highly regulated supply chain sectors that demand secure, AI-driven packaging solutions. Antares Vision S.p.A. is an Italy-based company known for providing inspection and detection systems along with track-and-trace software solutions.

Major companies operating in the artificial intelligence (AI) in packaging market are Amazon.com Inc., Microsoft Corporation, GE Digital, ABB Ltd., West Rock Company, International Paper Co, Georgia-Pacific, Amcor Plc, Berry Global, Tetra Pak, Stora Enso Oyj, DS Smith, Mondi Group, Ardagh Group, Sealed Air, Verallia, Metsä Board Oyj, Uflex Ltd, Universal Robots, Clarifai, SIG Combibloc, Otto Motors, Neurala, Packagex Inc, Greyscale AI.

North America was the largest region in the artificial intelligence (AI) in packaging market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in packaging market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI) in packaging market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI) in packaging market includes revenues earned by entities by providing AI consulting services, quality control services, supply chain optimization services, robotic packaging integration services, personalization services, and more. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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