AI In Packaging Market Growth Driven By Emerging Trends In Industrial IoT And Automation Operations: Core Growth Enabler in the Artificial Intelligence (AI) In Packaging Market, 2025

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What Will the Artificial Intelligence (AI) In Packaging Industry Market Size Be by 2025?
The artificial intelligence (AI) in packaging market has grown at a rapid pace in recent years. Its size is expected to rise from $2.62 billion in 2024 to $2.9 billion in 2025, at a CAGR of 10.6%. Historical drivers included efficiency gains, consumer personalization demand, supply chain improvements, quality assurance, and greater awareness and education.

What's the Long-Term Growth Forecast for the Artificial Intelligence (AI) In Packaging Market Size Through 2029?
Substantial expansion is anticipated in the field of artificial intelligence (AI) within the packaging sector where the market size is projected to amplify rapidly in the coming years, reaching a valuation of $4.49 billion by 2029. This growth, which represents an 11.6% compound annual growth rate (CAGR), can be ascribed to factors such as meeting sustainability goals, amalgamation with IoT and Industry 4.0, increasing need for e-commerce packaging solutions, enhanced attention to cybersecurity, and resilience during global pandemics. The foroming period will witness significant trends including collaborative efforts and partnerships, relentless technological progress, and the integration of smart packaging, alongside, predictive maintenance.

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What Are the Key Growth Drivers Fueling the Artificial Intelligence (AI) In Packaging Market Expansion?
The burgeoning industrial IoT and automated procedures are anticipated to bolster the expansion of artificial intelligence (AI) in the packaging domain. Industrial internet of things (IIoT) signifies the fusion of Internet of Things (IoT) technologies with industrial processes and mechanisms, while automation signifies utilizing technology, control systems and machinery to conduct tasks with scant human intervention. The incorporation of AI into the industrial automation for packaging escalates efficiency, flexibility, quality management, and overall system effectiveness while simultaneously aligning operations towards sustainability, energy efficiency and catering to the demands of contemporary, dynamic markets. The fusion of IoT and AI in the packaging sector has led to the creation of intelligent packaging systems which can supervise and fine-tune the packaging process, decrease waste and heighten sustainability. For example, in April 2024, as per the International Federation of Robotics, a Germany-based robotics industry association, the total installations of industrial robots increased by 12%, hitting 44,303 units in 2023. As a result, the burgeoning industrial IoT and automated procedures are propelling the expansion of artificial intelligence (AI) in the packaging domain.

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What Are the Key Trends Driving Artificial Intelligence (AI) In Packaging Market Growth?
Prominent businesses in the AI in packaging market are prioritizing the development of innovative technology, such as on-demand packaging systems, to offer customers superior features and secure a competitive advantage. On-demand packaging systems are services or mechanisms that supply custom-made, accurately sized packing materials tailored to the particular needs of a product or shipment. For example, DHL Supply Chain, a contract logistics service in Germany, introduced the OptiCarton system, an AI-operated enhanced packing system, in April 2022. The unique aspect of this AI-assisted OptiCarton system is its proficiency in perfecting box filling using a pre-set collection of cartons. It also suggests order splitting into multiple deliveries, improving cost-efficiency and diminishing the carbon footprint of each shipment. In addition to addressing the current lack of cardboard boxes and packing supplies in the market, OptiCarton has shown in preliminary trials to not only meet this demand but also offer clients extra benefits such as potential shipment cost savings of up to 35% and an average savings of 15%.

How Is the Artificial Intelligence (AI) In Packaging Market Segmented?
The artificial intelligence (ai) in packaging market covered in this report is segmented -

1) By Technology Type: Machine Learning, Computer Vision, Natural Language Processing (NLP), Predictive Analytics
2) By Application: Quality Inspection, Data Labeling, Artificially Intelligent Engineering (AIE) Of Packaging, Smart Warehousing, AI-Based Recycling Systems, Other Applications
3) By End Use: Food Industry, Beverage Industry, Medical And Pharmaceutical Industry, Cosmetic Industry, Consumer Electronics Industry, Other End Uses

Subsegments:
1) By Machine Learning: Quality Control And Inspection, Process Optimization, Demand Forecasting
2) By Computer Vision: Automated Quality Assurance, Image Recognition For Sorting, Defect Detection
3) By Natural Language Processing (NLP): Customer Feedback Analysis, Chatbots For Customer Interaction, Document Processing
4) By Predictive Analytics: Supply Chain Optimization, Predictive Maintenance, Market Trend Analysis

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Which Companies Are Leading the Charge in Artificial Intelligence (AI) In Packaging Market Innovation?
Major companies operating in the artificial intelligence (AI) in packaging market report 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

Which Regions Are Leading the Global Artificial Intelligence (AI) In Packaging Market in Revenue?
North America was the largest region in the artificial intelligence (AI) in packaging market in 2024. 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, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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