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市场调查报告书
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1643917

全球片剂、胶囊和软胶囊市场目视检查 - 2025-2032

Global Visual Inspection of Tablets, Capsules, and Softgels Market - 2025-2032

出版日期: | 出版商: DataM Intelligence | 英文 265 Pages | 商品交期: 最快1-2个工作天内

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简介目录

2024年,全球片剂、胶囊和软胶囊目视检查市场规模达5.8626亿美元,预计到2032年将达到8.9772亿美元,2024-2032年预测期间复合年增长率为5.5%。

生产片剂和胶囊等口服固体产品的製药和保健产品製造商需要进行万无一失的品质检查,以确保产品安全。在将产品投放市场之前,品质监控至关重要。当涉及到用于製药行业的片剂、胶囊和软胶囊时,这一点更为重要。在这种情况下,片剂检查机会很有用。这些机器使用传送带依序彻底检查每个片剂或胶囊。这是一个快速有效的过程,保证只有高品质的产品才能供消费者购买。视觉检测机的高速摄影机和客製化软体能够准确检测药片颜色、形状和尺寸的不一致之处,并透过客製化的剔除机制剔除有缺陷的产品。该系统可以配置为拒绝单一产品或瓶子。

市场动态:

驱动程式和限制

药品产量不断上升

由于全球慢性病负担不断升级导致需求增加,近年来全球药品产量显着增加。大多数药品製造商正在扩大产量以满足消费者的需求。一些国家正在努力成为药品生产的市场领导者。例如,印度政府新闻资讯局表示,在持续投资和更高需求的推动下,印度製药业取得了大幅成长。到2025年,随着国内製造业的崛起成为主要的市场驱动力,该国的製药业预计将达到1,000亿美元。 2023年至2024年,该国的出口量也增加了8.36%。类似的情况在中国、巴西、东欧国家、东南亚国家等其他新兴国家也延续。

随着药品产量的不断增长,预计未来对视觉检测系统的需求将显着增加。这将在预测期内积极推动市场成长。

人工智慧的日益普及推动了市场成长

在所有新时代科技中,人工智慧(AI)是医药製造领域快速发展的技术。它在早期药物开发到最终阶段商业生产中发挥着至关重要的作用。在药品的视觉检测中,该技术可以高精度地快速分析药片、胶囊和软胶囊,并减少整体检测时间。例如,ACG 和 Proditec 的 VISITAB 系列视觉检测系统与人工智慧技术集成,旨在检测药品中即使是最微小的製造缺陷。

当装配线上的产品品质较差时,人工智慧系统也会提醒品质人员进行相关变更。此外,训练系统几乎需要零人类参与,机器不断从自身学习新行为,以逐步提高效率。

人工智慧驱动的视觉检查流程随时都可以超越人类品质检查员。这种新时代的解决方案可以透过训练来更早地识别缺陷和故障。智慧摄影机和感测器可确保生产线的端到端可视性,并撷取对于训练基于人工智慧的解决方案至关重要的资料和影像。

人工智慧驱动的系统具有以卓越的精度检测和识别缺陷的卓越能力,补充了人类检查员在保持一致性和客观性方面的技能。人工智慧是一种宝贵的补充,使检查员能够更有效地执行任务并做出更明智的决策。

将人工智慧整合到视觉检测中的关键优势之一在于它能够处理人类视觉隐藏的危险区域中的复杂检测。随着摄影机技术和电脑视觉演算法的不断进步,维护技术人员可以在与被检查物体保持安全距离的同时进行远端检查。这项突破确保了人员安全和设备完整性,降低了风险并最大限度地减少了停机时间。

与手动方法相比,可扩展性是人工智慧检查的另一个优势。培训另一名人工检查员以达到与经验丰富的检查员的专业知识和熟练程度相匹配的水平需要时间、资源和大量投资。另一方面,扩展人工智慧检查系统涉及复製软体并将其部署到其他检查站或将其整合到现有基础设施中。这种可扩展性使企业能够提高吞吐量并处理更多的检查,而无需严重依赖人类。

生产中的品质保证旨在使装配线上的产品保持所需的品质水准和标准,并提供高品质的最终输出。电脑视觉是人工智慧的一个子集,它使用演算法来理解与人眼执行的功能非常相似的数位视觉资料。

传统的手动目视检查方法不仅耗时,而且由于品质检查员的主观感知和经验而容易出错。这会影响品质控製过程的一致性,在给定时间内仅检测到有限数量的缺陷。此外,遗留系统不灵活,必须经常重新配置以适应产品变化。这也是费时费力的。

视觉检测系统的高成本可能会限制市场的成长。

视觉检测系统的技术进步不断发展,但额外的功能可能需要额外的价格。与人工智慧等新时代技术整合的自动视觉检测系统的成本可能明显高于手动系统或半自动化系统。由于初始投资成本较高,中低端製造业可能会依赖传统的人工检查做法。这些製造商对新颖、技术含量高的系统的采用率可能会显着降低,从而阻碍其市场成长。

目录

第 1 章:方法与范围

第 2 章:定义与概述

第 3 章:执行摘要

第 4 章:动力学

  • 影响因素
    • 司机
      • 药品产量不断上升
      • 检验技术的进步
    • 限制
      • 先进视觉检测机成本高
    • 机会
    • 影响分析

第 5 章:产业分析

  • 波特五力分析
  • 定价分析
  • 专利分析
  • 监管分析

第 6 章:依操作模式分类

  • 自动的
  • 半自动
  • 手动的

第 7 章:按申请

  • 平板电脑
  • 胶囊
  • 软胶囊

第 8 章:最终用户

  • 医药行业
  • 保健品业
  • 其他的

第 9 章:按地区

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 西班牙
    • 义大利
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 韩国
    • 亚太其他地区
  • 中东和非洲

第 10 章:竞争格局

  • 竞争场景
  • 市场定位/份额分析
  • 併购分析

第 11 章:公司简介

  • Daiichi Jitsugyo Asia Pte. Ltd.
    • 公司概况
    • 产品组合
    • 财务概览
    • 主要进展
    • SWOT分析
  • Accura Pharmaquip Pvt. Ltd.
  • Proditec
  • Jekson Vision
  • SaintyCo
  • METTLER TOLEDO.
  • Anritsu
  • Sensum doo
  • YENCHEN MACHINERY CO., LTD.
  • Key International 2025, Inc.
  • MELISCOUT GMBH
  • Similar data will be provided for each market player.

第 12 章:附录

简介目录
Product Code: MD7543

The global visual inspection of tablets, capsules, and softgels market reached US$ 586.26 million in 2024 and is expected to reach US$ 897.72 million by 2032, growing at a CAGR of 5.5% during the forecast period 2024-2032.

Pharmaceuticals and healthcare product manufacturers dealing with oral solid products such as tablets and capsules need a fool-proof quality inspection to assure product safety. Before putting a product on the market, quality monitoring is crucial. When it comes to dealing with tablets, capsules, and softgels intended for the pharmaceutical business, this is of more importance. A tablet inspection machine can be useful in this situation. These machines use a conveyor belt to thoroughly examine each tablet or capsule in turn. This is a quick and effective process that guarantees that only high-quality products are available for consumers to purchase. The high-speed cameras and customized software of the visual inspection machines are capable of accurately detecting inconsistencies in tablet color, shape, and size, removing defective products via a custom-built rejection mechanism. The system can be configured to reject individual products or bottles.

Market Dynamics: Drivers & Restraints

Rising pharmaceutical production volumes

Globally the production of pharmaceuticals has significantly risen in recent times due to increasing demand caused by the escalating global burden of chronic diseases. Majority of the pharmaceutical manufacturers are scaling up their production volumes to meet consumer demands. Several nations are stepping up to stand as market leaders in pharmaceutical production. For instance, the Press Information Bureau of the Government of India has stated that India has been drastically growing in the pharmaceutical business fueled by constant investments and higher demand. The country's pharmaceutical industry is expected to reach US$ 100 billion by 2025 with the rising domestic manufacturing as a major market driver. The country's export volume has also increased by 8.36% from 2023 to 2024. This reflects the country's growing emphasis on the pharmaceutical sector and its focus on improving production volume. A similar scenario is continued in other emerging nations such as China, Brazil, Eastern European countries, and Southeast Asian countries.

With the growing pharmaceutical product volumes, the requirement for visual inspection systems is expected to significantly rise in the future. This will propel the market growth positively in the forecast period.

The rising adoption of artificial intelligence fuels market growth

Among all the new-age technologies, Artificial Intelligence (AI) is fast fast-growing technology in pharmaceutical manufacturing. It plays a crucial role in early-stage drug development to end-stage commercial manufacturing. In the pharmaceutical's visual inspection, this technology can rapidly analyze tablets, capsules, and softgels with high precision and reduce the overall inspection time. For instance, the VISITAB series of vision inspection systems by ACG and Proditec are integrated with AI technologies are designed to detect even a minute manufacturing defects in pharmaceutical products.

The AI systems also alert the quality personnel to make relevant changes when the quality of the product on the assembly line is poor. Also, training the system requires almost zero human involvement, and the machine keeps learning new behaviors from itself to improve its efficiencies incrementally.

AI-powered visual inspection processes can outperform human quality inspectors any day. This new-age solution can be trained to identify defects and failures much earlier. Smart cameras and sensors ensure end-to-end visibility of the production line and capture data and images which are crucial to train the AI-based solution.

AI-powered systems possess the remarkable ability to detect and identify defects with exceptional precision, complementing the skills of human inspectors in maintaining consistency and objectivity. AI is a valuable supplement, enabling inspectors to perform their tasks more effectively and make more informed decisions.

One of the key advantages of integrating AI into visual inspection lies in its ability to handle complex inspections in hazardous areas that are hidden from human vision. With the continuous advancements in camera technology and computer vision algorithms, maintenance technicians can conduct inspections remotely while maintaining a safe distance from the objects under examination. This breakthrough ensures both the safety of personnel and the preservation of equipment integrity, mitigating risks and minimizing downtime.

Scalability is another advantage of AI inspection compared to manual methods. Training another human inspector to match the expertise and proficiency of an experienced inspector takes time, resources, and considerable investment. On the other hand, scaling AI inspection systems involves replicating software and deploying it to additional inspection stations or integrating it into existing infrastructure. This scalability allows businesses to increase throughput and handle higher volumes of inspections without the need for significant reliance on humans.

It is quality assurance in production that aims to preserve a desired level of quality and standard in a product on the assembly line with a high-quality final output. Computer vision, an AI subset uses algorithms to understand digital visual data very similar to the function performed by the human eye.

Manual traditional visual inspection approaches are not only time-consuming but are prone to errors due to the subjective perception and experience of the respective quality inspector. This impacts consistency in the quality control process where only a limited number of defects are detected within a given time. Furthermore, legacy systems are not flexible and have to be reconfigured frequently to accommodate product changes. It is also time-consuming and labor-intensive.

The high cost of visual inspection systems may restrain the market growth.

The technological advancements are growing in the visual inspection systems, however, additional features may come at additional prices. The cost of automated visual inspection systems integrated with new-age technologies like AI, can be significantly higher than manual systems, or semi-automated systems. Due to the high initial investment cost, low to mid-range manufacturing companies may rely on the traditional practice of manual inspection. The adoption rate for a novel, tech-loaded systems can significantly reduce among these manufacturers hindering their market growth.

Segment Analysis

The global visual inspection of tablets, capsules, and softgels market is segmented based on mode of operation, application, end-user, and region.

Automatic systems in the mode of operation segment are expected to grow with the highest CAGR in the forecast period.

An automatic visual inspection machine for tablets and capsules has a digital image recognition technology that can assist in the precise detection of physical damage on tablets and capsules. These devices find their major application in medium to large-scale manufacturing facilities due to their high efficiency. The automatic visual inspection machines are specifically used to inspect size mismatches, breakage, the presence of foreign objects, and twining on tablets and capsules. There are several automated visual inspection systems with advanced features.

For instance, SPINE by Sensum d.o.o. is an all-in-one automated machine for 100% visual inspection and sorting of tablets, capsules, and softgels. The device can inspect 830 products per hour and can visualize products between 2mm to 28mm in size. Various types of tablets can be inspected, such as coated or uncoated, multilayer, laser-drilled, or those with engraving. The machine can inspect full or empty capsules, as well as those with print or that are transparent.

Automatic machines deliver the seamless inspection of quality through the system setting and apply the best algorithm as well without structural change or complicated settings. Automatic visual inspection machines are also designed with technological advancements like AI technologies to enhance advanced features and high visuality with 2D and 3D inspection.

All these features of automatic machines reflect their potential for widespread adoption in the future.

Geographical Analysis

North America dominates the visual inspection of tablets, capsules, and softgels market.

North America is renowned for its pharmaceutical industry. Manufacturers in the U.S. have adopted advanced technologies and machines for pharmaceutical production and inspection. Moreover, the market players in visual inspection machines have a strong presence in the U.S., and they offer visual inspection machines integrated with advanced technologies such as AI. For instance, Key International Inc., a company based in New Jersey, U.S., and one of the global market leaders offers its highly advanced Enclony PLANET 6G inspection machine to manufacturers in the United States. The machine takes up to 12 pictures of every tablet or capsule that passes through it. The machine also compares each tablet or capsule against a "golden image" to assure 100% visual inspection, keeping the good product and rejecting any defective product. With its combined state-of-the-art features, the Enclony PLANET 6G is capable of inspecting any shape, size, or color tablet or capsule. It also boasts 350,000 tablets per hour or 150,000 capsules per hour output to streamline efficiency.

Competitive Landscape

The major global players in the visual inspection of tablets, capsules, and softgels market are Daiichi Jitsugyo Asia Pte. Ltd., Accura Pharmaquip Pvt. Ltd., Proditec, Jekson Vision, SaintyCo, METTLER TOLEDO., Anritsu, Sensum d.o.o., YENCHEN MACHINERY CO., LTD. Key International 2025, Inc. and MELISCOUT GMBH among others.

Why Purchase the Report?

  • Pipeline & Innovations: Reviews ongoing product and technology developments, and forecasts upcoming advancements.
  • Target Performance & Market Positioning: Analyzes product performance, market positioning, and growth potential to optimize strategies.
  • Real-World Evidence: Integrates customer feedback and data into product development for improved outcomes.
  • Market Updates & Industry Changes: Covers recent regulatory changes, new policies, and emerging technologies.
  • Competitive Strategies: Analyzes competitor strategies, market share, and emerging players.
  • Pricing & Market Access: Reviews pricing models, reimbursement trends, and market access strategies.
  • Market Entry & Expansion: Identifies optimal strategies for entering new markets and partnerships.
  • Regional Growth & Investment: Highlights high-growth regions and investment opportunities.
  • Supply Chain Optimization: Assesses supply chain risks and distribution strategies for efficient Target delivery.
  • Sustainability & Regulatory Impact: Focuses on eco-friendly practices and evolving regulations in healthcare.
  • Post-market Surveillance: Uses post-market data to enhance product safety and access.
  • Pharmacoeconomics & Value-Based Pricing: Analyzes the shift to value-based pricing and data-driven decision-making in R&D.

The global interleukin inhibitors market report would provide approximately 86 tables, 69 figures, and 265 pages.

Target Audience 2024

  • Manufacturers: Technology Innovators, Product Manufacturers, Contract Manufacturers, Distributors.
  • Regulatory & Policy: Compliance Officers, Government, Health Economists, Market Access Specialists.
  • Investors: Healthcare Investors, Venture Fund Investors, Pharma Marketing & Sales.
  • Consulting & Advisory: Healthcare Consultants, Industry Associations, Analysts.
  • Supply Chain: Distribution and Supply Chain Managers.
  • Academic & Research: Academic Institutions.

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Mode of Operation
  • 3.2. Snippet by Application
  • 3.3. Snippet by End-User
  • 3.4. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Rising pharmaceutical production volumes
      • 4.1.1.2. Advancements in inspection technologies
    • 4.1.2. Restraints
      • 4.1.2.1. High cost of advanced visual inspection machines
    • 4.1.3. Opportunities
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Pricing Analysis
  • 5.3. Patent Analysis
  • 5.4. Regulatory Analysis

6. By Mode of Operation

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Mode of Operation
    • 6.1.2. Market Attractiveness Index, By Mode of Operation
  • 6.2. Automatic*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 6.3. Semi-Automatic
  • 6.4. Manual

7. By Application

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 7.1.2. Market Attractiveness Index, By Application
  • 7.2. Tablets*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Capsules
  • 7.4. Softgels

8. By End-User

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 8.1.2. Market Attractiveness Index, By Application
  • 8.2. Pharmaceutical Industry*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Nutraceutical Industry
  • 8.4. Others

9. By Region

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 9.1.2. Market Attractiveness Index, By Region
  • 9.2. North America
    • 9.2.1. Introduction
    • 9.2.2. Key Region-Specific Dynamics
    • 9.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 9.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 9.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.2.6.1. U.S.
      • 9.2.6.2. Canada
      • 9.2.6.3. Mexico
  • 9.3. Europe
    • 9.3.1. Introduction
    • 9.3.2. Key Region-Specific Dynamics
    • 9.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 9.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 9.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.3.6.1. Germany
      • 9.3.6.2. U.K.
      • 9.3.6.3. France
      • 9.3.6.4. Spain
      • 9.3.6.5. Italy
      • 9.3.6.6. Rest of Europe
  • 9.4. South America
    • 9.4.1. Introduction
    • 9.4.2. Key Region-Specific Dynamics
    • 9.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 9.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 9.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.4.6.1. Brazil
      • 9.4.6.2. Argentina
      • 9.4.6.3. Rest of South America
  • 9.5. Asia-Pacific
    • 9.5.1. Introduction
    • 9.5.2. Key Region-Specific Dynamics
    • 9.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 9.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 9.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.5.6.1. China
      • 9.5.6.2. India
      • 9.5.6.3. Japan
      • 9.5.6.4. South Korea
      • 9.5.6.5. Rest of Asia-Pacific
  • 9.6. Middle East and Africa
    • 9.6.1. Introduction
    • 9.6.2. Key Region-Specific Dynamics
    • 9.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 9.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

10. Competitive Landscape

  • 10.1. Competitive Scenario
  • 10.2. Market Positioning/Share Analysis
  • 10.3. Mergers and Acquisitions Analysis

11. Company Profiles

Key Market Players

  • 11.1. Daiichi Jitsugyo Asia Pte. Ltd.*
    • 11.1.1. Company Overview
    • 11.1.2. Product Portfolio
    • 11.1.3. Financial Overview
    • 11.1.4. Key Developments
    • 11.1.5. SWOT Analysis
  • 11.2. Accura Pharmaquip Pvt. Ltd.
  • 11.3. Proditec
  • 11.4. Jekson Vision
  • 11.5. SaintyCo
  • 11.6. METTLER TOLEDO.
  • 11.7. Anritsu
  • 11.8. Sensum d.o.o.
  • 11.9. YENCHEN MACHINERY CO., LTD.
  • 11.10. Key International 2025, Inc.
  • 11.11. MELISCOUT GMBH
  • Similar data will be provided for each market player.

LIST NOT EXHAUSTIVE

12. Appendix

  • 12.1. About Us and Services
  • 12.2. Contact Us