Global Artificial Intelligence (AI) in Packaging Design Market Size is valued at USD 113.9 Bn in 2024 and is predicted to reach USD 284.0 Bn by the year 2034 at a 9.9% CAGR during the forecast period for 2025-2034.
Artificial Intelligence (AI) in packaging design is the application of advanced computer algorithms and machine learning (ML) methods to improve, innovate, and expedite the product packaging design process. AI can forecast customer preferences, enhance design components for aesthetic appeal, and enhance functionality based on cost, material efficiency, sustainability, and other considerations by evaluating vast datasets. Significant advancements in the packaging industry have resulted from AI's transformation of the design, packaging, labelling, and inspection processes. The use of AI technology in packaging design processes has improved quality control, reduced costs, and enhanced productivity.
The market for artificial intelligence (AI) in packaging design has expanded dramatically in recent years, and this trend is expected to continue. The market for artificial intelligence in packaging design is also being driven by the expanding need for smart packaging solutions across a variety of industries, such as consumer electronics, pharmaceuticals, and food and beverage.Furthermore, the market is expected to increase as a result of companies being forced to use AI-driven solutions due to the growing emphasis on sustainability and the necessity of effective supply chains. In addition to improving the customer unboxing experience through interactive and customized packaging design, these technologies also support environmental sustainability through waste reduction and optimum material consumption.
Some Major Key Players In Artificial Intelligence (AI) in Packaging Design Market:
The Artificial Intelligence (AI) in Packaging Design market is segmented based on application, Industry vertical, technology, and end-user. Based on application, the market is subdivided into Packaging Structure Design, Packaging Functionalities Optimization, Labeling and Branding Design, Sustainability and Eco-friendly Packaging. By industry vertical, the market is segmented into food and beverage, consumer electronics, healthcare and pharmaceuticals, and personal care and beauty. By technology, the market is segmented into Generative Design AI, Natural Language Processing (NLP) for Packaging, Computer Vision in Packaging, AI-powered Simulation and Testing. By end-user, the market is segmented into E-commerce and Retail, Packaging Design Agencies, Manufacturers and Packaging Companies.
The Food and Beverage category is expected to hold a major global market share in 2024 because artificial intelligence is essential to meeting the particular needs and problems of the food and beverage sector, including maintaining product safety, increasing shelf life, and overseeing effective distribution. Through their use in supply chain optimization, quality control, and smart packaging, artificial intelligence (AI) technologies have previously had the potential to improve operational effectiveness, cut waste, and satisfy strict food safety and hygiene regulations. The necessity to reduce food waste and the push for sustainability has highlighted the significance of AI in this Industry.
The segment that is expected to have the biggest revenue share is manufacturers and packaging companies because AI is essential for improving manufacturing efficiency, cutting costs, and guaranteeing sustainable packaging practices. Manufacturers and packaging designing firms are using AI technologies more and more to address consumer needs for eco-friendly solutions, improve product visibility, and streamline design processes. This trend is anticipated to continue during the projection period.
The North American Artificial Intelligence (AI) in the Packaging Design market is expected to register the highest market share in revenue in the near future, ascribed to a number of important factors, such as the region's strong technological infrastructure, high rates of advanced technology adoption, and the existence of top AI and packaging firms. Additionally, with large investments in R&D projects that propel the integration of AI into numerous industries, including packaging design, North America—and particularly the United States—has been at the forefront of technological innovation.
In addition, Europe is projected to grow rapidly in the global Artificial Intelligence (AI) in Packaging Design market because of growing expansion plans, a flourishing pharmaceutical packaging industry, and expanding sales of packaged foods. Driven by technical breakthroughs and a dynamic industrial landscape, China and Japan are anticipated to take the lead in Asia Pacific's use of AI in packaging design.
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 113.9 Billion |
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Revenue Forecast In 2034 |
USD 284.0 Billion |
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Growth Rate CAGR |
CAGR of 9.9% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Application, Industry Vertical, Technology, And End-User |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea |
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Competitive Landscape |
Microsoft Corporation, Amazon Web Services (AWS), IBM Corporation, Siemens AG, Oracle Corporation, Adobe Inc., Dassault Systèmes, ABB Group, Google LLC, SAP SE, NVIDIA Corporation, Intel Corporation, UST Global, and Esko (a Danaher company) |
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Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Segmentation of Artificial Intelligence (AI) in Packaging Design Market-
Artificial Intelligence (AI) in Packaging Design Market By Application-
Artificial Intelligence (AI) in Packaging Design Market By Industry vertical-
Artificial Intelligence (AI) in Packaging Design Market By Technology-
Artificial Intelligence (AI) in Packaging Design Market By End-User-
Artificial Intelligence (AI) in Packaging Design Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & 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:
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:
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.
