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市場調查報告書
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1929859

2026年全球包裝領域人工智慧市場報告

Artificial Intelligence (AI) In Packaging Global Market Report 2026
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

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簡介目錄

近年來，人工智慧（AI）在包裝產業的市場規模迅速擴張，預計將以11.5%的複合年成長率成長，從2025年的29億美元成長到2026年的32.3億美元。過去幾年的成長可歸因於包裝操作自動化程度的提高、對包裝品質一致性需求的增加、包裝食品和飲料生產的擴張、機器學習技術的廣泛應用以及工業數位化進程的推進等因素。

預計未來幾年，包裝領域的人工智慧 (AI) 市場將快速成長，到 2030 年市場規模將達到 50.2 億美元，複合年成長率 (CAGR) 為 11.6%。預測期內的成長要素包括：對智慧包裝技術的投資不斷增加、對永續和減少廢棄物的包裝日益重視、人工智慧驅動的供應鏈最佳化應用日益普及、智慧回收系統應用日益廣泛，以及人工智慧與包裝器材的整合度不斷提高。預測期內的關鍵趨勢包括：基於人工智慧的品質測試系統應用日益廣泛、電腦視覺在包裝生產線中的應用日益增多、預測分析在包裝最佳化中的應用日益廣泛、人工智慧賦能的智慧倉庫不斷擴展，以及對缺陷檢測和減少廢棄物的日益重視。

工業IoT(IIoT) 和自動化營運的興起預計將推動人工智慧 (AI) 在包裝市場的發展。工業IoT(IIoT) 是將物聯網技術整合到工業流程中，而自動化則利用技術、控制系統和機器在最大限度減少人為干預的情況下執行任務。將人工智慧融入包裝產業的工業自動化，可提高效率、適應性、品管和系統性能，永續性、能源效率並滿足不斷變化的市場需求。物聯網和人工智慧在包裝產業的融合，催生了能夠監控和最佳化包裝流程、減少廢棄物並促進永續性發展的智慧系統。例如，總部位於德國的行業協會——國際機器人聯合會 (IFR) 在 2024 年 4 月報告稱，2023 年工業機器人的安裝數量將成長 12%，達到 44,303 台。因此，工業IoT和自動化正在推動人工智慧在包裝市場的發展。

包裝產業的AI（人工智慧）關鍵參與者正日益關注先進技術，例如AI驅動的衍生設計和材料發現解決方案，以滿足對永續、高性能和經濟高效包裝日益成長的需求。這種需求的促進因素包括更嚴格的監管標準、消費者對環境影響意識的增強，以及對能夠維持產品新鮮度並延長保存期限的包裝解決方案的需求。生成式AI包裝平台利用龐大的材料屬性資料集，創造出以往需要多年試驗試驗或耗時的實驗室流程才能實現的全新包裝材料和複合材料。例如，2025年7月，瑞士食品飲料公司雀巢與美國IBM研究院（一家提供AI驅動的資源規劃和決策最佳化解決方案的公司）合作，部署了一款生成式AI工具，用於識別創新型高阻隔包裝材料。此解決方案提案的材料成分能夠承受水分、氧氣和溫度波動，同時保持可回收性和成本效益。透過將基於大量公共和私人材料資料訓練的化學語言模型與能夠繪製分子結構和實際阻隔性能之間關係的回歸變壓器相結合，研發時間從數年大幅縮短到數週或數月。

目錄

第1章執行摘要

第2章 市場特徵

  • 市場定義和範圍
  • 市場區隔
  • 主要產品和服務概述
  • 全球包裝領域人工智慧市場：吸引力評分及分析
  • 成長潛力分析、競爭評估、策略契合度評估、風險狀況評估

第3章 市場供應鏈分析

  • 供應鏈與生態系概述
  • 主要原料、資源和供應商清單
  • 主要經銷商和通路合作夥伴名單
  • 主要最終用戶列表

第4章 全球市場趨勢與策略

  • 關鍵技術和未來趨勢
    • 人工智慧（AI）和自主人工智慧
    • 工業4.0和智慧製造
    • 數位化、雲端運算、巨量資料、網路安全
    • 物聯網、智慧基礎設施和互聯生態系統
    • 永續性、氣候技術和循環經濟
  • 主要趨勢
    • 人工智慧品質檢測系統的應用日益普及
    • 電腦視覺在包裝生產線的應用日益廣泛
    • 預測分析在包裝最佳化的應用日益廣泛
    • 擴展人工智慧驅動的智慧倉庫
    • 更加重視缺陷檢測和減少廢棄物

第5章 終端用戶產業市場分析

  • 食品工業公司
  • 飲料業公司
  • 醫療和製藥公司
  • 化妝品業公司
  • 家用電器製造商

第6章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅的影響、關稅戰和貿易保護主義對供應鏈的影響，以及新冠疫情對市場的影響

第7章 全球策略分析架構、目前市場規模、市場對比及成長率分析

  • 全球包裝領域人工智慧市場：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 全球包裝領域人工智慧市場規模、對比及成長率分析
  • 全球包裝領域人工智慧市場表現：規模與成長，2020-2025年
  • 全球包裝領域人工智慧市場預測：規模與成長，2025-2030年，2035年預測

第8章 全球潛在市場規模（TAM）

第9章 市場細分

  • 依技術類型
  • 機器學習、電腦視覺、自然語言處理 (NLP)、預測分析
  • 透過使用
  • 品質檢測、資料標註、包裝人工智慧工程（AIE）、智慧倉庫管理、基於人工智慧的回收系統及其他應用領域
  • 按最終用途
  • 食品工業、飲料工業、醫藥工業、化妝品工業、家用電子電器工業及其他終端用途
  • 按類型細分：機器學習
  • 品管與檢驗、流程最佳化、需求預測
  • 按類型細分：電腦視覺
  • 自動化品質保證、影像識別分類、缺陷檢測
  • 按類型細分：自然語言處理 (NLP)
  • 客戶回饋分析、客戶服務聊天機器人、文件處理
  • 按類型細分：預測分析
  • 供應鏈最佳化、預測性維護、市場趨勢分析

第10章 區域與國家分析

  • 全球包裝領域人工智慧市場：按地區、業績和預測分類，2020-2025年、2025-2030年預測、2035年預測
  • 全球包裝領域人工智慧市場：國家、績效及預測，2020-2025年、2025-2030年預測、2035年預測

第11章 亞太市場

第12章：中國市場

第13章 印度市場

第14章 日本市場

第15章：澳洲市場

第16章 印尼市場

第17章 韓國市場

第18章 台灣市場

第19章 東南亞市場

第20章：西歐市場

第21章英國市場

第22章 德國市場

第23章：法國市場

第24章：義大利市場

第25章：西班牙市場

第26章 東歐市場

第27章：俄羅斯市場

第28章 北美市場

第29章：美國市場

第30章：加拿大市場

第31章 南美洲市場

第32章：巴西市場

第33章 中東市場

第34章：非洲市場

第35章 市場監理與投資環境

第36章：競爭格局與公司概況

  • 包裝產業的人工智慧：競爭格局與市場佔有率，2024 年
  • 包裝產業人工智慧市場：公司估值矩陣
  • 包裝產業人工智慧市場：公司概況
    • Amazon.com Inc.
    • Microsoft Corporation
    • GE Digital
    • ABB Ltd.
    • West Rock Company

第37章：其他領先和創新企業

  • 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

第38章 全球市場競爭基準分析與儀錶板

第39章 重大併購

第40章：高潛力市場國家、細分市場與策略

  • 2030年包裝產業的人工智慧：提供新機會的國家
  • 2030年包裝產業的人工智慧：充滿新機會的細分市場
  • 2030年包裝產業人工智慧市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第41章附錄

簡介目錄
Product Code: PP3MAIAP02_G26Q1

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.

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  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
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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.

  • The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered: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
  • Companies Mentioned: 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
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: Word, PDF or Interactive Report
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Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Artificial Intelligence (AI) In Packaging Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Artificial Intelligence (AI) In Packaging Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

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

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

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

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Industry 4.0 & Intelligent Manufacturing
    • 4.1.3 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.4 Internet of Things (IoT), Smart Infrastructure & Connected Ecosystems
    • 4.1.5 Sustainability, Climate Tech & Circular Economy
  • 4.2. Major Trends
    • 4.2.1 Increasing Adoption Of AI-Based Quality Inspection Systems
    • 4.2.2 Growing Use Of Computer Vision In Packaging Lines
    • 4.2.3 Rising Deployment Of Predictive Analytics For Packaging Optimization
    • 4.2.4 Expansion Of AI-Enabled Smart Warehousing
    • 4.2.5 Enhanced Focus On Defect Detection And Waste Reduction

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

  • 5.1 Food Industry Companies
  • 5.2 Beverage Industry Companies
  • 5.3 Medical And Pharmaceutical Companies
  • 5.4 Cosmetic Industry Companies
  • 5.5 Consumer Electronics Manufacturers

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

  • 7.1. Global Artificial Intelligence (AI) In Packaging PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Artificial Intelligence (AI) In Packaging Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Artificial Intelligence (AI) In Packaging Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Artificial Intelligence (AI) In Packaging Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

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

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Artificial Intelligence (AI) In Packaging Market Segmentation

  • 9.1. Global Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Machine Learning, Computer Vision, Natural Language Processing (NLP), Predictive Analytics
  • 9.2. Global Artificial Intelligence (AI) In Packaging Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Quality Inspection, Data Labeling, Artificially Intelligent Engineering (AIE) Of Packaging, Smart Warehousing, AI-Based Recycling Systems, Other Applications
  • 9.3. Global Artificial Intelligence (AI) In Packaging Market, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Food Industry, Beverage Industry, Medical And Pharmaceutical Industry, Cosmetic Industry, Consumer Electronics Industry, Other End Uses
  • 9.4. Global Artificial Intelligence (AI) In Packaging Market, Sub-Segmentation Of Machine Learning, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Quality Control And Inspection, Process Optimization, Demand Forecasting
  • 9.5. Global Artificial Intelligence (AI) In Packaging Market, Sub-Segmentation Of Computer Vision, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Automated Quality Assurance, Image Recognition For Sorting, Defect Detection
  • 9.6. Global Artificial Intelligence (AI) In Packaging Market, Sub-Segmentation Of Natural Language Processing (NLP), By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Customer Feedback Analysis, Chatbots For Customer Interaction, Document Processing
  • 9.7. Global Artificial Intelligence (AI) In Packaging Market, Sub-Segmentation Of Predictive Analytics, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Supply Chain Optimization, Predictive Maintenance, Market Trend Analysis

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

  • 10.1. Global Artificial Intelligence (AI) In Packaging Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 10.2. Global Artificial Intelligence (AI) In Packaging Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 11.1. Asia-Pacific Artificial Intelligence (AI) In Packaging Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 11.2. Asia-Pacific Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. China Artificial Intelligence (AI) In Packaging Market

  • 12.1. China Artificial Intelligence (AI) In Packaging Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. China Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. India Artificial Intelligence (AI) In Packaging Market

  • 13.1. India Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. Japan Artificial Intelligence (AI) In Packaging Market

  • 14.1. Japan Artificial Intelligence (AI) In Packaging Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 14.2. Japan Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Australia Artificial Intelligence (AI) In Packaging Market

  • 15.1. Australia Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Indonesia Artificial Intelligence (AI) In Packaging Market

  • 16.1. Indonesia Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 17.1. South Korea Artificial Intelligence (AI) In Packaging Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 17.2. South Korea Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. Taiwan Artificial Intelligence (AI) In Packaging Market

  • 18.1. Taiwan Artificial Intelligence (AI) In Packaging Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. Taiwan Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 19.1. South East Asia Artificial Intelligence (AI) In Packaging Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. South East Asia Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 20.1. Western Europe Artificial Intelligence (AI) In Packaging Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. Western Europe Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. UK Artificial Intelligence (AI) In Packaging Market

  • 21.1. UK Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. Germany Artificial Intelligence (AI) In Packaging Market

  • 22.1. Germany Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. France Artificial Intelligence (AI) In Packaging Market

  • 23.1. France Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. Italy Artificial Intelligence (AI) In Packaging Market

  • 24.1. Italy Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Spain Artificial Intelligence (AI) In Packaging Market

  • 25.1. Spain Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 26.1. Eastern Europe Artificial Intelligence (AI) In Packaging Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 26.2. Eastern Europe Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Russia Artificial Intelligence (AI) In Packaging Market

  • 27.1. Russia Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 28.1. North America Artificial Intelligence (AI) In Packaging Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 28.2. North America Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. USA Artificial Intelligence (AI) In Packaging Market

  • 29.1. USA Artificial Intelligence (AI) In Packaging Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. USA Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. Canada Artificial Intelligence (AI) In Packaging Market

  • 30.1. Canada Artificial Intelligence (AI) In Packaging Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. Canada Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 31.1. South America Artificial Intelligence (AI) In Packaging Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. South America Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. Brazil Artificial Intelligence (AI) In Packaging Market

  • 32.1. Brazil Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

  • 33.1. Middle East Artificial Intelligence (AI) In Packaging Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 33.2. Middle East Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Africa Artificial Intelligence (AI) In Packaging Market

  • 34.1. Africa Artificial Intelligence (AI) In Packaging Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Africa Artificial Intelligence (AI) In Packaging Market, Segmentation By Technology Type, Segmentation By Application, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

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

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

  • 36.1. Artificial Intelligence (AI) In Packaging Market Competitive Landscape And Market Share 2024
    • 36.1.1. Top 10 Companies (Ranked by revenue/share)
  • 36.2. Artificial Intelligence (AI) In Packaging Market - Company Scoring Matrix
    • 36.2.1. Market Revenues
    • 36.2.2. Product Innovation Score
    • 36.2.3. Brand Recognition
  • 36.3. Artificial Intelligence (AI) In Packaging Market Company Profiles
    • 36.3.1. Amazon.com Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.3. GE Digital Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.4. ABB Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.5. West Rock Company Overview, Products and Services, Strategy and Financial Analysis

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

  • 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

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

  • 40.1 Artificial Intelligence (AI) In Packaging Market In 2030 - Countries Offering Most New Opportunities
  • 40.2 Artificial Intelligence (AI) In Packaging Market In 2030 - Segments Offering Most New Opportunities
  • 40.3 Artificial Intelligence (AI) In Packaging Market In 2030 - Growth Strategies
    • 40.3.1 Market Trend Based Strategies
    • 40.3.2 Competitor Strategies

41. Appendix

  • 41.1. Abbreviations
  • 41.2. Currencies
  • 41.3. Historic And Forecast Inflation Rates
  • 41.4. Research Inquiries
  • 41.5. The Business Research Company
  • 41.6. Copyright And Disclaimer
  • 260128_PP3MAIAP02_G26Q1_Artificial_Intelligence_AI_In_Packaging_MGR_2026