포장 분야 인공지능 시장 보고서(2026년)
Artificial Intelligence (AI) In Packaging Global Market Report 2026
상품코드 : 1929859
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

포장 분야 인공지능(AI) 시장 규모는 최근 빠르게 확대하고 있습니다. 2025년 29억 달러에서 2026년에는 32억 3,000만 달러로, CAGR 11.5%로 성장할 것으로 예상되며. 지난 수년간의 성장 요인으로는 포장 업무의 자동화 발전, 포장 품질 일관성에 대한 수요 증가, 포장 식품 및 음료 생산 확대, 기계 학습 기술의 보급, 산업 디지털화 진전 등을 꼽을 수 있습니다.

포장 분야 인공지능(AI) 시장 규모는 향후 몇 년간 급속한 성장이 전망됩니다. 2030년에는 50억 2,000만 달러에 달하고, CAGR은 11.6%를 기록할 전망입니다. 예측 기간 동안의 성장 요인으로는 스마트 포장 기술에 대한 투자 증가, 지속가능하고 폐기물을 줄이는 포장에 대한 관심 증가, AI 기반 공급망 최적화 확대, 지능형 재활용 시스템 보급 확대, 포장기계와의 AI 통합 발전 등을 꼽을 수 있습니다. 예측 기간의 주요 동향으로는 AI 기반 품질 검사 시스템 도입 확대, 포장 라인에서 컴퓨터 비전 활용 증가, 포장 최적화를 위한 예측 분석 도입 증가, AI 기반 스마트 창고 확대, 결함 감지 및 폐기물 감소에 대한 집중 강화 등을 들 수 있습니다.

산업용 IoT(IIoT)와 자동화 작업의 증가는 포장 시장에서 인공지능(AI)의 성장을 촉진할 것으로 예상됩니다. 산업용 IoT(IIoT)는 IoT 기술을 산업 프로세스에 통합하는 것으로, 자동화는 기술, 제어 시스템, 기계를 활용하여 최소한의 인위적 개입으로 작업을 수행합니다. 포장 분야의 산업 자동화에 AI를 도입하면 효율성, 적응성, 품질 관리, 시스템 성능, 지속가능성, 에너지 효율성, 그리고 변화하는 시장 요구에 대응할 수 있는 능력을 향상시킬 수 있습니다. 포장 분야에서 IoT와 AI의 통합은 포장 공정을 모니터링하고 최적화하며 폐기물을 줄이고 지속가능성을 촉진하는 스마트 시스템을 실현했습니다. 예를 들어, 2024년 4월 독일에 본사를 둔 산업 단체인 국제로봇연맹은 2023년 산업용 로봇 설치 대수가 12% 증가하여 4만 4,303대에 달할 것이라고 보고했습니다. 그 결과, 산업용 IoT와 자동화가 포장 시장에서 AI의 성장을 촉진하고 있습니다.

포장 분야 인공지능(AI) 주요 업체들은 지속가능하고 고성능이며 비용 효율적인 포장에 대한 수요 증가에 대응하기 위해 AI를 활용한 제너레이티브 디자인 및 재료 발견 솔루션과 같은 첨단 기술에 점점 더 많은 관심을 기울이고 있습니다. 이러한 수요는 규제 기준 강화, 환경 영향에 대한 소비자 인식 증가, 제품 신선도 유지 및 유통기한 연장을 위한 포장 솔루션의 필요성에 의해 주도되고 있습니다. 생성형 AI 패키징 플랫폼은 대규모 재료 특성 데이터세트를 활용하여 기존에는 시행착오를 거쳐 수년간의 실험과 시간이 많이 소요되는 실험실 과정을 거쳐야 했던 새로운 포장재와 복합재료를 생성합니다. 예를 들어, 2025년 7월 스위스 식음료 기업 네슬레(Nestle)는 자원 계획 및 의사결정 최적화를 위한 AI 기반 솔루션을 제공하는 미국 기업 IBM 리서치(IBM Research)와 협력하여 혁신적인 고차폐 포장재 식별을 위한 생성형 AI 도구를 도입했습니다. 이 솔루션은 습기, 산소, 온도 변동에 견디면서 재활용성과 비용 효율성을 유지할 수 있는 재료 구성을 제안합니다. 광범위한 공개 및 비공개 재료 데이터로 훈련된 화학 언어 모델과 분자 구조와 실제 장벽 성능의 관계를 매핑하는 회귀 변환기를 결합하여 연구개발 기간을 몇 년 단위에서 단 몇 주에서 몇 달로 대폭 단축할 수 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 공급망 분석

제4장 세계 시장 동향과 전략

제5장 최종 이용 산업 시장 분석

제6장 시장 : 금리, 인플레이션, 지정학, 무역 전쟁과 관세의 영향, 관세 전쟁과 무역 보호주의가 공급망에 미치는 영향, 코로나가 시장에 미치는 영향을 포함한 거시경제 시나리오

제7장 세계의 전략 분석 프레임워크, 현재 시장 규모, 시장 비교 및 성장률 분석

제8장 시장에서 세계의 총 잠재 시장 규모(TAM)

제9장 시장 세분화

제10장 지역별, 국가별 분석

제11장 아시아태평양 시장

제12장 중국 시장

제13장 인도 시장

제14장 일본 시장

제15장 호주 시장

제16장 인도네시아 시장

제17장 한국 시장

제18장 대만 시장

제19장 동남아시아 시장

제20장 서유럽 시장

제21장 영국 시장

제22장 독일 시장

제23장 프랑스 시장

제24장 이탈리아 시장

제25장 스페인 시장

제26장 동유럽 시장

제27장 러시아 시장

제28장 북미 시장

제29장 미국 시장

제30장 캐나다 시장

제31장 남미 시장

제32장 브라질 시장

제33장 중동 시장

제34장 아프리카 시장

제35장 시장 규제 상황과 투자 환경

제36장 경쟁 구도와 기업 개요

제37장 기타 주요 기업과 혁신적 기업

제38장 세계의 시장 경쟁 벤치마킹과 대시보드

제39장 주요 인수합병

제40장 시장 잠재력이 높은 국가, 부문, 전략

제41장 부록

KSM
영문 목차

영문목차

Artificial intelligence (AI) applied to packaging involves the utilization of advanced computing technologies, specifically AI, to improve and optimize different facets of the packaging sector. AI systems have the capability to examine images for identifying defects or irregularities in packaging materials, ensuring the delivery of top-notch products to the market.

The key technologies encompassed within artificial intelligence (AI) in packaging comprise machine learning, computer vision, natural language processing (NLP), and predictive analytics. Machine learning (ML) involves the use of algorithms and statistical models that empower computer systems to enhance their performance on a specific task over time without explicit programming. It finds application in various areas, including quality inspection, data labeling, artificially intelligent engineering (AIE) of packaging, smart warehousing, AI-driven recycling systems, among others. These applications are utilized by diverse end users, such as the food industry, beverage industry, medical and pharmaceutical industry, cosmetic industry, consumer electronics industry, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

Tariffs are influencing the AI in packaging market by increasing costs of imported sensors, cameras, semiconductors, industrial processors, and automation hardware required for AI-enabled packaging systems. Food, beverage, and pharmaceutical packaging facilities in North America and Europe are most affected due to dependence on imported electronics, while Asia-Pacific faces pricing pressure on system exports. These tariffs are raising implementation costs and slowing deployment timelines. However, they are also encouraging local system integration, domestic AI software development, and regional manufacturing of smart packaging solutions.

The artificial intelligence (AI) in packaging market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in packaging market statistics, including artificial intelligence (AI) in packaging industry global market size, regional shares, competitors with a artificial intelligence (AI) in packaging market share, detailed artificial intelligence (AI) in packaging market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in packaging industry. This artificial intelligence (AI) in packaging market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

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, Nestle, 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, Metsa 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.

Artificial Intelligence (AI) In Packaging Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses artificial intelligence (ai) in packaging market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for artificial intelligence (ai) in packaging ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) in packaging market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

Scope

Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

2. Artificial Intelligence (AI) In Packaging Market Characteristics

3. Artificial Intelligence (AI) In Packaging Market Supply Chain Analysis

4. Global Artificial Intelligence (AI) In Packaging Market Trends And Strategies

5. Artificial Intelligence (AI) In Packaging Market Analysis Of End Use Industries

6. Artificial Intelligence (AI) In Packaging Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Artificial Intelligence (AI) In Packaging Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

8. Global Artificial Intelligence (AI) In Packaging Total Addressable Market (TAM) Analysis for the Market

9. Artificial Intelligence (AI) In Packaging Market Segmentation

10. Artificial Intelligence (AI) In Packaging Market Regional And Country Analysis

11. Asia-Pacific Artificial Intelligence (AI) In Packaging Market

12. China Artificial Intelligence (AI) In Packaging Market

13. India Artificial Intelligence (AI) In Packaging Market

14. Japan Artificial Intelligence (AI) In Packaging Market

15. Australia Artificial Intelligence (AI) In Packaging Market

16. Indonesia Artificial Intelligence (AI) In Packaging Market

17. South Korea Artificial Intelligence (AI) In Packaging Market

18. Taiwan Artificial Intelligence (AI) In Packaging Market

19. South East Asia Artificial Intelligence (AI) In Packaging Market

20. Western Europe Artificial Intelligence (AI) In Packaging Market

21. UK Artificial Intelligence (AI) In Packaging Market

22. Germany Artificial Intelligence (AI) In Packaging Market

23. France Artificial Intelligence (AI) In Packaging Market

24. Italy Artificial Intelligence (AI) In Packaging Market

25. Spain Artificial Intelligence (AI) In Packaging Market

26. Eastern Europe Artificial Intelligence (AI) In Packaging Market

27. Russia Artificial Intelligence (AI) In Packaging Market

28. North America Artificial Intelligence (AI) In Packaging Market

29. USA Artificial Intelligence (AI) In Packaging Market

30. Canada Artificial Intelligence (AI) In Packaging Market

31. South America Artificial Intelligence (AI) In Packaging Market

32. Brazil Artificial Intelligence (AI) In Packaging Market

33. Middle East Artificial Intelligence (AI) In Packaging Market

34. Africa Artificial Intelligence (AI) In Packaging Market

35. Artificial Intelligence (AI) In Packaging Market Regulatory and Investment Landscape

36. Artificial Intelligence (AI) In Packaging Market Competitive Landscape And Company Profiles

37. Artificial Intelligence (AI) In Packaging Market Other Major And Innovative Companies

38. Global Artificial Intelligence (AI) In Packaging Market Competitive Benchmarking And Dashboard

39. Key Mergers And Acquisitions In The Artificial Intelligence (AI) In Packaging Market

40. Artificial Intelligence (AI) In Packaging Market High Potential Countries, Segments and Strategies

41. Appendix

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