Artificial Intelligence In Packaging

Artificial Intelligence In Packaging


The Artificial Intelligence In Packaging Market is expected to grow at a strong CAGR of 12% during the forecast period owing to the rising demand for smart and sustainable packaging. Artificial intelligence (AI) in packaging refers to the integration of advanced technologies like machine learning and computer vision to enhance various aspects of the packaging industry. For instance, AI systems can analyze images to identify defects in packaging materials, ensuring that only high-quality products are delivered to the market. Additionally, AI can optimize production and distribution processes by analyzing historical sales data and market trends, ultimately reducing costs and minimizing stockouts. Moreover, AI algorithms can generate personalized packaging designs and suggest suitable materials based on consumer preferences, market trends, and product data. This enables manufacturers to create unique packaging solutions that cater to the diverse needs of their customers.
  • By technology, the market is segmented into Machine Learning, Computer Vision, Natural Language Processing (NLP), and Predictive Analytics. The Machine Learning segment led the market in 2021. The primary driver of the market for machine learning (ML) is the growing demand for it in data labeling, process automation, and content inspection in product quality assurance/quality control (QA/QC). If products are labeled incorrectly, it can lead to inspection failures, customer dissatisfaction, and a decrease in profits. Data labeling has become a standard practice with the help of ML, reducing manual errors and improving overall process efficiency. ML is also utilized throughout the packaging supply chain to provide preventive analytics and cybersecurity measures for businesses. As per a recent survey by Anchore, three out of every five companies experienced software supply chain attacks in 2021.
  • On the basis of application, the market is segmented into AIE of Packaging, Smart Warehousing, Data Labeling, Quality Inspection, AI-based Recycling Systems, and Others. The smart warehousing segment led the market in 2021. The growth of smartphones for efficient product management, the increasing use of artificial inspection in e-commerce due to the COVID-19 pandemic, the rise of multi-distribution channels, and the globalization of supply chain systems are all contributing to the expansion of the smart warehousing market.
  • On the basis of end user, the market is segmented into Food & Beverage Industry, Cosmetic Industry, Medical and Pharmaceutical Industries, Consumer Electronics Industry, and Others. The food and beverage industry segment led the market in 2021. The food and beverage industry's focus on offering affordable, quickly accessible, and non-contaminated food options has helped it maintain its market dominance. The use of machine learning (ML) and artificial intelligence (AI) has enabled businesses to scale their operations and remain competitive. This sector is a significant market for AI, with a global food and beverage market projected to be worth over $2 trillion by 2025, according to a survey. In contrast, the cosmetic industry is expected to grow at the quickest rate due to the influx of new entrants in the cosmetics industry, which drives innovation in product and packaging design to gain a competitive edge. With the rise in internet usage, companies have shifted their sales to online platforms, leading to an increase in demand for cosmetic products, thus contributing to the growth of the packaging industry.
  • For a better understanding of the market adoption of the Artificial Intelligence In Packaging industry, the market is analyzed based on its worldwide presence in the countries such as North America (U.S., Canada, Rest of North America), Europe (Germany, U.K., France, Spain, Italy, Rest of Europe), Asia-Pacific (China, Japan, India, Rest of Asia-Pacific), Rest of World. North America led the market in 2021. The North American region is witnessing a significant growth in the acceptance of AI technologies in the packaging industry, thanks to the increasing public-private partnerships and the launch of innovative machinery. This growth is being driven by the incorporation of cutting-edge technologies such as artificial intelligence (AI) and the Internet of Things (IoT) in various industrial sectors, resulting in increased demand for advanced packaging solutions among integrated device manufacturers (IDMs) and foundry suppliers.
  • Some of the major players operating in the market include SIG Combibloc, Tetra Pak, Berry Global, WestRock, DS Smith, Microsoft, GE Digital, ABB, Universal Robots, and Neurala.


1 MARKET INTRODUCTION
1.1. Market Definitions
1.2. Main Objective
1.3. Stakeholders
1.4. Limitation
2 RESEARCH METHODOLOGY OR ASSUMPTION
2.1. Research Process of the Artificial Intelligence In Packaging Market
2.2. Research Methodology of the Artificial Intelligence In Packaging Market
2.3. Respondent Profile
3 MARKET SYNOPSIS
4 EXECUTIVE SUMMARY
5 IMPACT OF COVID-19 ON THE ARTIFICIAL INTELLIGENCE IN PACKAGING MARKET
6 ARTIFICIAL INTELLIGENCE IN PACKAGING MARKET REVENUE (USD BN), 2020-2028F
7 MARKET INSIGHTS BY TECHNOLOGY
7.1. Machine Learning
7.2. Computer Vision
7.3. Natural Language Processing (NLP)
7.4. Predictive Analytics
8 MARKET INSIGHTS BY APPLICATION
8.1. AIE of Packaging
8.2. Smart Warehousing
8.3. Data Labeling
8.4. Quality Inspection
8.5. AI-based Recycling Systems
8.6. Others
9 MARKET INSIGHTS BY END USER
9.1. Food & Beverage Industry
9.2. Cosmetic Industry
9.3. Medical and Pharmaceutical Industries
9.4. Consumer Electronics Industry
9.5. Others
10 MARKET INSIGHTS BY REGION
10.1. North America
10.1.1. U.S.
10.1.2. Canada
10.1.3. Rest of North America
10.2. Europe
10.2.1. Germany
10.2.2. U.K.
10.2.3. France
10.2.4. Italy
10.2.5. Spain
10.2.6. Rest of Europe
10.3. Asia-Pacific
10.3.1. China
10.3.2. Japan
10.3.3. India
10.3.4. Rest of Asia-Pacific
10.4. Rest of World
11 ARTIFICIAL INTELLIGENCE IN PACKAGING MARKET DYNAMICS
11.1. Market Drivers
11.2. Market Challenges
12 ARTIFICIAL INTELLIGENCE IN PACKAGING MARKET OPPORTUNITIES
13 ARTIFICIAL INTELLIGENCE IN PACKAGING MARKET TRENDS
14 DEMAND AND SUPPLY-SIDE ANALYSIS
14.1. Demand Side Analysis
14.2. Supply Side Analysis
15 VALUE CHAIN ANALYSIS
16 COMPETITIVE SCENARIO
16.1. Competitive Landscape
16.1.1. Porters Fiver Forces Analysis
17 COMPANY PROFILED
17.1. SIG Combibloc
17.2. Tetra Pak
17.3. Berry Global
17.4. WestRock
17.5. DS Smith
17.6. Microsoft
17.7. GE Digital
17.8. ABB
17.9. Universal Robots
17.10. Neurala
18 DISCLAIMER

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