Global AI In Packaging Design Market

AI In Packaging Design Market Summary

The Global AI In Packaging Design Market Size Was Valued at USD 2607.7 Million in 2024 and is Projected to Reach USD 9517.2 Million by 2035, Growing at a CAGR of 12.49% from 2025 to 2035. AI in the packaging design market is Expanding due to the Growing need for sustainability, cost effectiveness, speedier design processes, and customisation.  Data-driven insights, automated design creation, and enhanced customer engagement are made possible by AI, which aids in brand innovation and competitiveness in ever-changing markets.

Key Regional and Segment-Wise Insights

• With the biggest revenue share of 33.4% in 2024, North America led the worldwide AI in package design market.
• With the most revenue share of 36.5% in 2024, the generative design AI segment dominated the market by technology.
• In 2024, the food and beverage segment had the largest revenue share of 36.4% and dominated the market by industry vertical.

Global Market Forecast and Revenue Outlook

• 2024 Market Size: USD 2607.7 Million
• 2035 Projected Market Size: USD 9517.2 Million
• CAGR (2025-2035): 12.49%
• North America: Largest market in 2024

The AI in packaging design market utilizes machine learning along with computer vision and data analytics to automate and enhance various components of packaging design processes. The market includes evaluation of customer behavior, together with structural framework and visual aesthetics and material selection, and sustainability optimization. The industry shows growth because businesses seek faster, customized, cost-effective solutions to meet changing customer requirements. The analysis of large datasets through AI systems enables businesses to detect patterns while generating customized, innovative ideas based on consumer preferences. The rising demand for personalized products, combined with faster market entry times and improved packaging efficiency and sustainable packaging needs driven by regulations and environmental factors, serve as primary growth drivers.

AI in packaging design experiences substantial market growth because of ongoing technical evolution. The combination of augmented reality prototyping with real-time 3D modelling and generative AI design automation has transformed traditional design workflows. AI-powered solutions help decrease waste by analyzing appropriate environmental materials and optimizing packing proportions. Industry expansion continues to grow because of government programs that support sustainable packaging, together with digital transformation initiatives in both North America and Europe. The market niche for AI-driven design solutions experiences rapid growth because companies receive funding support and must meet sustainability requirements and adopt smart manufacturing policies.

Technology Insights

What Factors Enabled the Generative Design AI Segment to Capture a 36.5% Revenue Share in the AI in Packaging Design Market in 2024?

The generative design AI segment held the highest revenue share of 36.5% during 2024 and led the AI in packaging design market. Generative design AI systems utilize algorithms and machine learning to produce and enhance packaging structures based on established goals such as sustainability or cost-effectiveness, or aesthetic appeal.  Designers and companies benefit from reduced development time and human error through this technology, which enables them to rapidly test thousands of innovative design alternatives. This technology plays a crucial role within the food and beverage, cosmetic, and  e-commerce industries because it delivers tailored packaging solutions that consider customer habits along with material constraints and brand standards.  Generative design AI leads the market because businesses continue to require fast data-based design solutions.

The Natural Language Processing (NLP) segment of the AI in Packaging Design market is anticipated to grow significantly throughout the forecasted period. Through Natural Language Processing, brands can analyze unstructured text data consisting of feedback, social media comments, and customer reviews to better understand their audience's preferences and perceptions. The data collected helps make decisions about packaging design so the final product aligns with consumer expectations and enhances brand communication. Through NLP analysis, brands can optimize their packaging content for on-pack messaging as well as labeling and localization, which results in better market-specific appeal. The increasing adoption of consumer-centric design across industries drives the expanding use of NLP in packaging processes, which has become essential for AI-driven design development.

Industry Vertical Insights

How Did the Food and Beverage Segment Lead the AI in Packaging Design Market in 2024?

The food and beverage segment led the AI in Packaging Design market with the largest revenue share of 36.4% in 2024. The market dominance stems from the industry's essential requirement of innovative, sustainable packaging solutions, which focus on customer satisfaction. Artificial intelligence (AI) enhances packaging development by creating attractive, functional, environmentally friendly solutions that extend product shelf life while enhancing shelf visibility. AI solutions, which include predictive analytics together with generative design, enable brands to produce rapid package prototypes that meet both consumer expectations and regulatory standards. The optimization of packaging strategies continues to evolve through AI-based analysis of consumer feedback and purchase pattern data.  Food and beverage organizations employ AI technology to gain market leadership during rising competition while establishing sustainability as their main business objective.

The healthcare and pharmaceuticals segment of the AI in Packaging Design market is projected to experience substantial growth throughout the forecast period. The market expansion stems from the increasing need for packaging solutions that combine safety features with intelligent capabilities and regulatory compliance. The applications of artificial intelligence (AI) tools, including computer vision, machine learning, and natural language processing, help enhance packaging traceability while protecting design integrity and improving label precision. AI technology enables the creation of environmentally-friendly materials while personalizing packaging solutions according to individual patient information. The pharmaceutical and healthcare sectors are actively adopting AI-powered design tools that prioritize safety measures and regulatory compliance alongside user-friendly experiences to enhance packaging procedures and meet market needs.

Regional Insights

North America held the largest revenue share of 33.4% and led the global AI in package design market in 2024. Early adoption of advanced technology and strong R&D infrastructure, combined with key industry players in the region, contribute to its leading position. Businesses in the US and Canada are adopting AI solutions to optimize design procedures while improving personalization and sustainability measures. The market grew because of fast product changes and people wanting smart packaging that helps the environment. The competitive nature of retail, along with helpful regulations, encouraged brands to adopt intelligent packaging solutions. North America leads other global regions in innovation and revenue generation, which establishes it as the leading AI-powered packaging design environment for 2024.

Europe AI In Packaging Design Market Trends

The European market for AI in packaging design experiences constant expansion because consumers want personalized packaging and environmentally conscious solutions. The region's brands are adopting AI technologies to increase design efficiency while reducing waste as they respond to evolving consumer preferences. The EU's Green Deal, together with circular economy programs, drives companies to create environmentally friendly products by using advanced design methods. The expansion of e-commerce, along with branding requirements, forces manufacturers to adopt AI technology for fast prototyping and analytical decision-making processes. The public sector and commercial sector of Europe support AI adoption in packaging, which creates continuous growth opportunities and improved global market competitiveness.

Asia Pacific AI In Packaging Design Market Trends

The Asia Pacific AI in packaging design market is projected to experience significant growth due to fast industrial development, together with rising consumer needs and advanced technology adoption during the forecast period. The packaging industry within China, Japan, South Korea, and India receives substantial investments from these nations toward digital transformation and smart manufacturing initiatives. AI-powered design solutions receive brand adoption through the rising e-commerce market and the need for innovative, affordable, and environmentally friendly packaging solutions. The expanding middle class, together with product differentiation requirements, drives the demand for personalized packaging solutions. The Asia Pacific region shows strong potential to become a primary development center for AI in packaging design because of supportive government policies and growing IT company presence.

Key AI In Packaging Design Companies:

The following are the leading companies in the AI in packaging design market. These companies collectively hold the largest market share and dictate industry trends.

• ABB
• Transcontinental Inc.
• Esko-Graphics BV.
• Adobe Inc.
• SAP SE
• Siemens AG
• AWS
• Dassault Systèmes
• Autodesk Inc.
• Kongsberg Precision Cutting Systems
• Sourceful Ltd
• Others

Recent Developments

• In December 2024, to transform real-time industrial data into useful insights, ABB unveiled the ABB Ability Genix Copilot, a generative AI platform developed in collaboration with Microsoft.  The system, which supports a variety of tasks, including packaging design workflows, was created to increase productivity, efficiency, and sustainability.  Genix Copilot provides predictive maintenance, operational guidance, and energy-saving measures by interpreting data from factory floors, operator feedback, and enterprise systems using massive language models designed for industrial settings.  Through AI-driven intelligence and automation, this breakthrough enables better packaging design and manufacturing, reduces operating costs and environmental impact, optimizes packaging assets, and helps manufacturers make faster, data-driven decisions.

• In August 2023, ABB Robotics expanded its market share in the United States with the opening of its new Packaging and Logistics Headquarters in Alpharetta, Georgia.  In the facility, cutting-edge robotic automation solutions for packaging, e-commerce, and logistical operations are developed and showcased.  It has new AI-powered technology, such as intelligent item-picking systems and mobile robots that operate on their own.  The investment demonstrates ABB's dedication to promoting supply chain automation that is quicker, more intelligent, and more sustainable.

Market Segment

This study forecasts revenue at global, regional, and country levels from 2020 to 2035. Spherical Insights has segmented the AI in packaging design market based on the below-mentioned segments: 

Global AI In Packaging Design Market, By Technology

• Generative Design AI
• Computer Vision
• Natural Language Processing
• AI-powered Simulation and Testing

Global AI In Packaging Design Market, By Industry Vertical

• Food and Beverage
• Healthcare and Pharmaceuticals
• Consumer Electronics
• Personal Care and Beauty

Global AI In Packaging Design Market, By Regional Analysis

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Russia
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Rest of Asia Pacific
• South America
  • Brazil
  • Argentina
  • Rest of South America
• Middle East & Africa
  • UAE
  • Saudi Arabia
  • Qatar
  • South Africa
  • Rest of the Middle East & Africa