Generative AI in Packaging Market to Observe Strong Development by 2033: Grand View Research Inc.

 Generative AI in Packaging Market Summary

The global generative AI in packaging market size was estimated at USD 636.2 million in 2024 and is projected to reach USD 6,260.2 million by 2033, growing at a CAGR of 29.4% from 2025 to 2033. This market growth is driven by various factors such as faster design and prototyping cycles, growing adoption of smart and sustainable packaging, cost reduction through automation, integration with advanced 3D design tools, and increased use of AI for predictive consumer behavior analysis.

Key Market Trends & Insights

• North America dominated the global generative AI in packaging market with the largest revenue share of 38.1% in 2024.
• The generative AI in packaging market in the U.S. led the North America market and held the largest revenue share in 2024.
• By application, structural design led the market, holding the largest revenue share of 34.3% in 2024.
• By component, software segment held the dominant position in the market.
• By end use, food & beverages segment held the dominant position in the market.

Market Size & Forecast

• 2024 Market Size: USD 636.2 Million
• 2033 Projected Market Size: USD 6,260.2 Million
• CAGR (2025-2033): 29.4%
• North America: Largest Market in 2024
• Asia Pacific: Fastest Growing Market

The generative AI significantly enhances the intelligence and interactivity of packaging solutions across industries. By enabling the seamless integration of smart features such as QR codes, NFC tags, and dynamic visuals, AI helps brands deliver personalized and engaging experiences. These technologies improve consumer interaction and provide valuable data on usage patterns and preferences. Generative AI allows brands to adapt real-time packaging based on customer behavior, enhancing engagement across retail, cosmetics, and food & beverages sectors. The ability to embed tailored content and interactive elements gives businesses a competitive edge in increasingly experience-driven markets.

Sustainability and cost efficiency are major forces propelling market adoption. AI-driven tools help brands minimize material waste by suggesting optimal structural designs and identifying eco-friendly alternatives. It aligns with increasing regulatory pressure and consumer demand for green solutions, but also drives down operational costs through resource optimization. Generative design reduces the need for excessive physical prototypes by simulating multiple iterations digitally. In addition, AI ensures packaging meets performance, safety, and sustainability requirements efficiently. This strategic use of AI allows companies to meet environmental targets while achieving long-term cost savings and operational resilience.

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The need for speed, personalization, and digital optimization is reshaping packaging strategies with the help of generative AI. As e-commerce continues to dominate, businesses focus on digital-first packaging that maintains visual appeal and brand consistency across online platforms. AI supports rapid prototyping, enabling companies to test and launch packaging designs faster. Simultaneously, AI enables hyper-personalized packaging tailored to individual customer segments or even single users, making it suitable for limited editions, promotional campaigns, and targeted marketing. By combining consumer insights, automation, and design intelligence, generative AI enhances shelf visibility, drives customer engagement, and accelerates time-to-market in competitive retail environments.

Key Generative AI in Packaging Company Insights

Some key companies in the generative AI in packaging industry are Adobe and Amazon.

• Adobe, which provides various products such as Adobe Firefly and Adobe Illustrator with generative AI tools, is at the forefront of packaging design. It enables scalable, automated, and hyper-personalized visuals used by major CPG and retail brands globally. Adobe’s Creative Cloud suite, including Illustrator, Photoshop, and InDesign, is a preferred platform for graphic and packaging design across diverse industries. Its widespread adoption by design professionals and brands underscores its crucial role in enabling high-quality, scalable, innovative packaging solutions.
• Amazon uses generative AI in real-world packaging operations, optimizing box sizes, reducing materials, and streamlining logistics through its Package Decision Engine. As one of the largest e-commerce companies, it has internal innovations in packaging AI that set industry benchmarks and influence the broader supply chain. Moreover, Amazon’s "Climate Pledge" commits to net-zero carbon by 2040. Generative AI supports eco-conscious packaging design using minimal material, simulations to optimize package structure and reduce waste, and data-driven selection of recyclable and biodegradable materials

Key Generative AI in Packaging Companies:

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

• Adobe
• Amazon
• NVIDIA Corporation
• Microsoft
• Clarifai
• PackageX Inc.
• Smurfit Westrock
• Dassault Systemes
• Accenture
• Kebotix, Inc.

Recent Developments

• In July 2025, Nestle, a food and beverage company, partnered with IBM Corporation, a technology company, to develop generative AI tools for packaging. These tools will support identifying potential new packaging materials, focusing on optimizing cost-efficiency, recyclability, and functional performance. To enable this, Nestle and IBM Corporation scientists have applied AI-driven processing methods to compile a comprehensive database of material properties, drawing from both public and proprietary sources. They customized a specialized chemical language model trained on this dataset, allowing it to effectively interpret and generate molecular structure representations suited to packaging applications.
• In June 2025, L'Oréal Group collaborated with NVIDIA Corporation, an AI technology provider, to accelerate the development and deployment of AI-driven solutions, including the large-scale generation of 3D digital renderings of its product lines. Integrating physical modeling with generative AI enables the company to enhance creative workflows and expand the boundaries of digital product innovation.
• In March 2025, Diageo, an alcoholic beverage company, launched its First Bottle Personalisation Experience, Fueled by Generative AI. The launch aligns with a growing demand for distinctive experiences and products that reflect identity, social belonging, and individual status.

About Grand View Research

Grand View Research, Inc. is a U.S. based market research and consulting company, registered in the State of California and headquartered in San Francisco. The company provides syndicated research reports, customized research reports, and consulting services. To help clients make informed business decisions, we offer market intelligence studies ensuring relevant and fact-based research across a range of industries, from technology to chemicals, materials and healthcare.