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市场调查报告书
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1611473

基于腐败检测的智慧标籤市场：按技术、最终用户产业划分 - 2025-2030 年全球预测

Spoil Detection-based Smart Labels Market by Technology (NFC, RFID, Sensing Label), End-User Industry (Cosmetics, Food & Beverage, Logistics) - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 186 Pages | 商品交期: 最快1-2个工作天内

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2023年基于贪腐检测的智慧标籤市场规模为95,533万美元，预计2024年将达到10,3807万美元，复合年增长率为9.67%，2030年将达到18236.4亿美元。

基于腐败检测的智慧标籤代表了一项开创性技术，旨在监控生鲜产品的新鲜度和安全性，尤其是在食品行业。这些标籤通常包含感测器和指示器，可以检测环境条件的变化，例如温度或气体排放，以指示潜在的腐败。对这些标籤的需求源于对食品安全、减少废弃物和消费者透明度日益增长的需求。它通常用于保持产品完整性至关重要的领域，例如食品和饮料、製药和物流。最终用户包括食品製造商和零售商，他们热衷于确保产品品质并延长保质期。对永续包装解决方案的需求不断增长、感测器技术的进步以及消费者安全监管标准的收紧对市场成长产生了重大影响。该市场最近的机会包括与物联网 (IoT) 技术整合进行即时监控和分析，可用于增强供应链管理。

主要市场统计
基准年[2023] 95533万美元
预计年份 [2024] 1,038,070,000 美元
预测年份 [2030] 18.2364亿美元
复合年增长率（%） 9.67%

然而，该市场面临一定的局限性，包括技术开拓和实施的初始成本较高，以及消费者对智慧标籤可靠性的怀疑。此外，法规因地区而异，这给全球产品标准化带来了挑战。儘管存在这些挑战，但可以透过专注于具有成本效益的感测器材料并提高智慧标籤系统与现有物流平台的互通性来促进创新。新的研究领域，例如用于绿色标籤的生物聚合物和用于腐败预测演算法的增强资料分析，都预示着进一步的成长。在技​​术进步和消费者对智慧解决方案的需求的推动下，市场的性质正在快速发生动态变化。企业应优先考虑与高科技公司建立策略伙伴关係，并投资研发以保持领先地位。透过解决扩充性和加强消费者教育，公司可以优化打入市场策略。总体而言，基于腐败检测的智慧标籤市场提供了符合现代永续性和安全趋势的广泛成长潜力。

市场动态：针对快速发展的基于腐败检测的智慧标籤市场揭示的关键市场见解

基于腐败检测的智慧标籤市场正因供需的动态交互作用而转变。透过了解这些不断变化的市场动态，公司可以准备好做出明智的投资决策、完善策略决策并抓住新的商机。全面了解这些趋势可以帮助企业降低政治、地理、技术、社会和经济领域的风险，同时也能帮助消费行为及其对製造业的影响。

  • 市场驱动因素
    • 增加顾客对食品原料卫生的偏好
    • 食品和药品召回增加
    • 政府努力提高产品品质标准
  • 市场限制因素
    • 引入智慧标籤成本高昂
  • 市场机会
    • 用于腐败检测的 RFID 技术的进步
    • 推出新产品并投资研发
  • 市场挑战
    • 对电力短缺期间黑客攻击和故障的担忧

波特五力：驾驭基于腐败检测的智慧标籤市场的策略工具

波特的五力框架是了解基于腐败检测的智慧标籤市场竞争格局的关键工具。波特的五力框架为评估公司的竞争地位和探索策略机会提供了清晰的方法。该框架可帮助公司评估市场动态并确定新业务的盈利。这些见解使公司能够利用自己的优势，解决弱点并避免潜在的挑战，从而确保更强大的市场地位。

PESTLE分析：了解基于腐败检测的智慧标籤市场的外部影响

外部宏观环境因素在塑造基于腐败检测的智慧标籤市场的绩效动态方面发挥着至关重要的作用。对政治、经济、社会、技术、法律和环境因素的分析提供了应对这些影响所需的资讯。透过调查 PESTLE 因素，公司可以更了解潜在的风险和机会。这种分析可以帮助公司预测法规、消费者偏好和经济趋势的变化，并为他们做出积极主动的决策做好准备。

市场占有率分析 了解基于腐败检测的智慧标籤市场的竞争格局

基于腐败检测的智慧标籤市场的详细市场占有率分析可以对供应商绩效进行全面评估。公司可以透过比较收益、客户群和成长率等关键指标来揭示其竞争地位。该分析揭示了市场集中、分散和整合的趋势，为供应商提供了製定策略决策所需的洞察力，使他们能够在日益激烈的竞争中占有一席之地。

基于FPNV定位矩阵腐烂检测的智慧标籤市场供应商绩效评估

FPNV定位矩阵是在基于腐败侦测的智慧标籤市场中评估供应商的关键工具。此矩阵允许业务组织根据商务策略和产品满意度评估供应商，从而做出与其目标相符的明智决策。这四个象限使您能够清晰、准确地划分供应商，并确定最能满足您的策略目标的合作伙伴和解决方案。

策略分析和建议描绘了基于腐败检测的智慧标籤市场的成功之路

对于旨在加强其在全球市场的影响力的公司来说，对基于腐败检测的智慧标籤市场进行策略分析至关重要。透过审查关键资源、能力和绩效指标，公司可以识别成长机会并努力改进。这种方法使您能够克服竞争环境中的挑战，利用新的商机并取得长期成功。

本报告对市场进行了全面分析，涵盖关键重点领域：

1. 市场渗透率：对当前市场环境的详细审查、主要企业的广泛资料、对其在市场中的影响力和整体影响力的评估。

2. 市场开拓：辨识新兴市场的成长机会，评估现有领域的扩张潜力，并提供未来成长的策略蓝图。

3. 市场多元化：分析近期产品发布、开拓地区、关键产业进展、塑造市场的策略投资。

4. 竞争评估与情报：彻底分析竞争格局，检验市场占有率、业务策略、产品系列、认证、监理核准、专利趋势、主要企业的技术进步等。

5. 产品开发与创新：重点在于有望推动未来市场成长的最尖端科技、研发活动和产品创新。

我们也回答重要问题，以帮助相关人员做出明智的决策：

1.目前的市场规模和未来的成长预测是多少？

2. 哪些产品、区隔市场和地区提供最佳投资机会？

3.塑造市场的主要技术趋势和监管影响是什么？

4.主要厂商的市场占有率和竞争地位如何？

5. 推动供应商市场进入和退出策略的收益来源和策略机会是什么？

目录

第一章 前言

第二章调查方法

第三章执行摘要

第四章市场概况

第五章市场洞察

  • 市场动态
    • 促进因素
      • 提高顾客对食品卫生的偏好
      • 食品和药品召回增加
      • 政府努力提高产品品质标准
    • 抑制因素
      • 引入智慧标籤成本高昂
    • 机会
      • 用于废弃物检测的 RFID 技术的进步
      • 推出新产品并投资研发
    • 任务
      • 对电力短缺期间黑客攻击和故障的担忧
  • 市场区隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社群
    • 技术的
    • 合法地
    • 环境

第六章基于腐败检测的智慧标籤市场：依技术分类

  • 不对称的
  • RFID
  • 感测标籤

第七章基于腐败检测的智慧标籤市场：按最终用户产业

  • 化妆品
  • 饮食
  • 物流
  • 製药

第八章北美和南美基于腐败检测的智慧标籤市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第九章亚太地区基于贪腐检测的智慧标籤市场

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第十章欧洲/中东/非洲基于腐败检测的智慧标籤市场

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十一章竞争格局

  • 2023 年市场占有率分析
  • FPNV 定位矩阵，2023
  • 竞争情境分析
  • 战略分析和建议

公司名单

  • Avery Dennison Corporation
  • CCL Industries Inc
  • Ensurge Micropower ASA
  • EVIGENCE SENSORS Inc
  • Innoscentia AB
  • Insignia Technologies Ltd
  • Invengo Information Technology Co. Ltd.
  • Muhlbauer Holding Ag
  • SATO Holding Ag.
  • Scanbuy Inc.
  • Smartrac NV
  • Thin Film Electronics ASA
  • Zebra Technologies Corporation
Product Code: MRR-AD517FAA9FB0

The Spoil Detection-based Smart Labels Market was valued at USD 955.33 million in 2023, expected to reach USD 1,038.07 million in 2024, and is projected to grow at a CAGR of 9.67%, to USD 1,823.64 million by 2030.

Spoil detection-based smart labels represent a pioneering technology designed to monitor the freshness and safety of perishable products, especially in the food industry. These labels often incorporate sensors or indicators that detect changes in environmental conditions, such as temperature or gas emissions, signaling potential spoilage. The necessity of these labels arises from the increasing need for food safety, waste reduction, and consumer transparency. They are commonly applied in sectors like food and beverage, pharmaceuticals, and logistics, where maintaining product integrity is paramount. End users range from food manufacturers to retail outlets keen on ensuring product quality and extending shelf life. The market growth is significantly influenced by the rising demand for sustainable packaging solutions, advancements in sensor technology, and heightened regulatory standards for consumer safety. Recent opportunities in this market include integration with Internet of Things (IoT) technologies to enable real-time monitoring and analytics, which can be leveraged for enhanced supply chain management.

KEY MARKET STATISTICS
Base Year [2023] USD 955.33 million
Estimated Year [2024] USD 1,038.07 million
Forecast Year [2030] USD 1,823.64 million
CAGR (%) 9.67%

However, the market faces certain limitations such as high initial costs of technology development and implementation, along with consumer skepticism around the reliability of smart labels. Furthermore, varying regulations across regions can pose challenges for standardizing product offerings globally. Despite these challenges, innovation can be fostered by focusing on cost-effective sensor materials and increasing the interoperability of smart label systems with existing logistics platforms. Emerging research areas like biopolymers for more eco-friendly labels and enhanced data analytics for predictive spoilage algorithms present further growth avenues. The nature of the market is fast-paced and dynamic, driven by technological advancements and consumer demand for smart solutions. Businesses should prioritize strategic partnerships with tech firms and invest in R&D to stay at the forefront. By addressing scalability and enhancing consumer education, companies can optimize their go-to-market strategies. Overall, the spoil detection-based smart labels market offers promising growth potential aligned with modern sustainability and safety trends.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Spoil Detection-based Smart Labels Market

The Spoil Detection-based Smart Labels Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

  • Market Drivers
    • Rising customer preference for the hygiene of food material
    • Increases in food and pharmaceutical product recalls
    • Government efforts to improve quality standards of products
  • Market Restraints
    • High cost of deployment of smart labels
  • Market Opportunities
    • Advancements in RFID technology for spoil detection
    • New product launches and investments in R&D
  • Market Challenges
    • Concerns related to hacking and malfunction during power shortage

Porter's Five Forces: A Strategic Tool for Navigating the Spoil Detection-based Smart Labels Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Spoil Detection-based Smart Labels Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Spoil Detection-based Smart Labels Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Spoil Detection-based Smart Labels Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Spoil Detection-based Smart Labels Market

A detailed market share analysis in the Spoil Detection-based Smart Labels Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Spoil Detection-based Smart Labels Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Spoil Detection-based Smart Labels Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Spoil Detection-based Smart Labels Market

A strategic analysis of the Spoil Detection-based Smart Labels Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Spoil Detection-based Smart Labels Market, highlighting leading vendors and their innovative profiles. These include Avery Dennison Corporation, CCL Industries Inc, Ensurge Micropower ASA, EVIGENCE SENSORS Inc, Innoscentia AB, Insignia Technologies Ltd, Invengo Information Technology Co. Ltd., Muhlbauer Holding Ag, SATO Holding Ag., Scanbuy Inc., Smartrac N.V., Thin Film Electronics ASA, and Zebra Technologies Corporation.

Market Segmentation & Coverage

This research report categorizes the Spoil Detection-based Smart Labels Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Based on Technology, market is studied across NFC, RFID, and Sensing Label.
  • Based on End-User Industry, market is studied across Cosmetics, Food & Beverage, Logistics, and Pharmaceutical.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Rising customer preference for the hygiene of food material
      • 5.1.1.2. Increases in food and pharmaceutical product recalls
      • 5.1.1.3. Government efforts to improve quality standards of products
    • 5.1.2. Restraints
      • 5.1.2.1. High cost of deployment of smart labels
    • 5.1.3. Opportunities
      • 5.1.3.1. Advancements in RFID technology for spoil detection
      • 5.1.3.2. New product launches and investments in R&D
    • 5.1.4. Challenges
      • 5.1.4.1. Concerns related to hacking and malfunction during power shortage
  • 5.2. Market Segmentation Analysis
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Spoil Detection-based Smart Labels Market, by Technology

  • 6.1. Introduction
  • 6.2. NFC
  • 6.3. RFID
  • 6.4. Sensing Label

7. Spoil Detection-based Smart Labels Market, by End-User Industry

  • 7.1. Introduction
  • 7.2. Cosmetics
  • 7.3. Food & Beverage
  • 7.4. Logistics
  • 7.5. Pharmaceutical

8. Americas Spoil Detection-based Smart Labels Market

  • 8.1. Introduction
  • 8.2. Argentina
  • 8.3. Brazil
  • 8.4. Canada
  • 8.5. Mexico
  • 8.6. United States

9. Asia-Pacific Spoil Detection-based Smart Labels Market

  • 9.1. Introduction
  • 9.2. Australia
  • 9.3. China
  • 9.4. India
  • 9.5. Indonesia
  • 9.6. Japan
  • 9.7. Malaysia
  • 9.8. Philippines
  • 9.9. Singapore
  • 9.10. South Korea
  • 9.11. Taiwan
  • 9.12. Thailand
  • 9.13. Vietnam

10. Europe, Middle East & Africa Spoil Detection-based Smart Labels Market

  • 10.1. Introduction
  • 10.2. Denmark
  • 10.3. Egypt
  • 10.4. Finland
  • 10.5. France
  • 10.6. Germany
  • 10.7. Israel
  • 10.8. Italy
  • 10.9. Netherlands
  • 10.10. Nigeria
  • 10.11. Norway
  • 10.12. Poland
  • 10.13. Qatar
  • 10.14. Russia
  • 10.15. Saudi Arabia
  • 10.16. South Africa
  • 10.17. Spain
  • 10.18. Sweden
  • 10.19. Switzerland
  • 10.20. Turkey
  • 10.21. United Arab Emirates
  • 10.22. United Kingdom

11. Competitive Landscape

  • 11.1. Market Share Analysis, 2023
  • 11.2. FPNV Positioning Matrix, 2023
  • 11.3. Competitive Scenario Analysis
  • 11.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Avery Dennison Corporation
  • 2. CCL Industries Inc
  • 3. Ensurge Micropower ASA
  • 4. EVIGENCE SENSORS Inc
  • 5. Innoscentia AB
  • 6. Insignia Technologies Ltd
  • 7. Invengo Information Technology Co. Ltd.
  • 8. Muhlbauer Holding Ag
  • 9. SATO Holding Ag.
  • 10. Scanbuy Inc.
  • 11. Smartrac N.V.
  • 12. Thin Film Electronics ASA
  • 13. Zebra Technologies Corporation

LIST OF FIGURES

  • FIGURE 1. SPOIL DETECTION-BASED SMART LABELS MARKET RESEARCH PROCESS
  • FIGURE 2. SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, 2023 VS 2030
  • FIGURE 3. GLOBAL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. GLOBAL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 5. GLOBAL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 6. GLOBAL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
  • FIGURE 7. GLOBAL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2023 VS 2030 (%)
  • FIGURE 9. GLOBAL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 10. AMERICAS SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 11. AMERICAS SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 12. UNITED STATES SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY STATE, 2023 VS 2030 (%)
  • FIGURE 13. UNITED STATES SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 14. ASIA-PACIFIC SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 15. ASIA-PACIFIC SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 16. EUROPE, MIDDLE EAST & AFRICA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 17. EUROPE, MIDDLE EAST & AFRICA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 18. SPOIL DETECTION-BASED SMART LABELS MARKET SHARE, BY KEY PLAYER, 2023
  • FIGURE 19. SPOIL DETECTION-BASED SMART LABELS MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

  • TABLE 1. SPOIL DETECTION-BASED SMART LABELS MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. SPOIL DETECTION-BASED SMART LABELS MARKET DYNAMICS
  • TABLE 7. GLOBAL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY NFC, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY RFID, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY SENSING LABEL, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY COSMETICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY FOOD & BEVERAGE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY LOGISTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY PHARMACEUTICAL, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. AMERICAS SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 17. AMERICAS SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 18. AMERICAS SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 19. ARGENTINA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 20. ARGENTINA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 21. BRAZIL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 22. BRAZIL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 23. CANADA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 24. CANADA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 25. MEXICO SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 26. MEXICO SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 27. UNITED STATES SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 28. UNITED STATES SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 29. UNITED STATES SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 30. ASIA-PACIFIC SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 31. ASIA-PACIFIC SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 32. ASIA-PACIFIC SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 33. AUSTRALIA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 34. AUSTRALIA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 35. CHINA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 36. CHINA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 37. INDIA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 38. INDIA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 39. INDONESIA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 40. INDONESIA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 41. JAPAN SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 42. JAPAN SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 43. MALAYSIA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 44. MALAYSIA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 45. PHILIPPINES SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 46. PHILIPPINES SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 47. SINGAPORE SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 48. SINGAPORE SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 49. SOUTH KOREA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 50. SOUTH KOREA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 51. TAIWAN SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 52. TAIWAN SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 53. THAILAND SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 54. THAILAND SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 55. VIETNAM SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 56. VIETNAM SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 57. EUROPE, MIDDLE EAST & AFRICA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 58. EUROPE, MIDDLE EAST & AFRICA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 59. EUROPE, MIDDLE EAST & AFRICA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 60. DENMARK SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 61. DENMARK SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 62. EGYPT SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 63. EGYPT SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 64. FINLAND SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 65. FINLAND SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 66. FRANCE SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 67. FRANCE SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 68. GERMANY SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 69. GERMANY SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 70. ISRAEL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 71. ISRAEL SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 72. ITALY SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 73. ITALY SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 74. NETHERLANDS SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 75. NETHERLANDS SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 76. NIGERIA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 77. NIGERIA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 78. NORWAY SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 79. NORWAY SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 80. POLAND SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 81. POLAND SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 82. QATAR SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 83. QATAR SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 84. RUSSIA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 85. RUSSIA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 86. SAUDI ARABIA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 87. SAUDI ARABIA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 88. SOUTH AFRICA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 89. SOUTH AFRICA SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 90. SPAIN SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 91. SPAIN SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 92. SWEDEN SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 93. SWEDEN SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 94. SWITZERLAND SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 95. SWITZERLAND SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 96. TURKEY SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 97. TURKEY SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 98. UNITED ARAB EMIRATES SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 99. UNITED ARAB EMIRATES SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 100. UNITED KINGDOM SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 101. UNITED KINGDOM SPOIL DETECTION-BASED SMART LABELS MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 102. SPOIL DETECTION-BASED SMART LABELS MARKET SHARE, BY KEY PLAYER, 2023
  • TABLE 103. SPOIL DETECTION-BASED SMART LABELS MARKET, FPNV POSITIONING MATRIX, 2023