封面
市場調查報告書
商品編碼
1643917

全球片劑、膠囊和軟膠囊市場目視檢查 - 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個工作天內

價格

本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

簡介目錄

2024年,全球片劑、膠囊和軟膠囊目視檢查市場規模達5.8626億美元,預計到2032年將達到8.9772億美元,2024-2032年預測期間複合年成長率為5.5%。

生產片劑和膠囊等口服固體產品的製藥和保健產品製造商需要進行萬無一失的品質檢查,以確保產品安全。在將產品投放市場之前,品質監控至關重要。當涉及到用於製藥行業的片劑、膠囊和軟膠囊時,這一點更為重要。在這種情況下,片劑檢查機會很有用。這些機器使用傳送帶依序徹底檢查每個片劑或膠囊。這是一個快速有效的過程,保證只有高品質的產品才能供消費者購買。視覺檢測機的高速攝影機和客製化軟體能夠準確檢測藥片顏色、形狀和尺寸的不一致之處,並透過客製化的剔除機制剔除有缺陷的產品。該系統可以配置為拒絕單一產品或瓶子。

市場動態:

驅動程式和限制

藥品產量不斷上升

由於全球慢性病負擔不斷升級導致需求增加,近年來全球藥品產量顯著增加。大多數藥品製造商正在擴大產量以滿足消費者的需求。一些國家正在努力成為藥品生產的市場領導者。例如,印度政府新聞資訊局表示,在持續投資和更高需求的推動下,印度製藥業取得了大幅成長。到2025年,隨著國內製造業的崛起成為主要的市場驅動力,該國的製藥業預計將達到1,000億美元。 2023年至2024年,該國的出口量也增加了8.36%。類似的情況在中國、巴西、東歐國家、東南亞國家等其他新興國家也延續。

隨著藥品產量的不斷成長,預計未來對視覺檢測系統的需求將顯著增加。這將在預測期內積極推動市場成長。

人工智慧的日益普及推動了市場成長

在所有新時代科技中,人工智慧(AI)是醫藥製造領域快速發展的技術。它在早期藥物開發到最終階段商業生產中發揮著至關重要的作用。在藥品的視覺檢測中,該技術可以高精度地快速分析藥片、膠囊和軟膠囊,並減少整體檢測時間。例如,ACG 和 Proditec 的 VISITAB 系列視覺檢測系統與人工智慧技術整合,旨在檢測藥品中即使是最微小的製造缺陷。

當裝配線上的產品品質較差時,人工智慧系統也會提醒品質人員進行相關變更。此外,訓練系統幾乎需要零人類參與,機器不斷從自身學習新行為,以逐步提高效率。

人工智慧驅動的視覺檢查流程隨時都可以超越人類品質檢查員。這種新時代的解決方案可以透過訓練來更早地識別缺陷和故障。智慧攝影機和感測器可確保生產線的端到端可視性,並擷取對於訓練基於人工智慧的解決方案至關重要的資料和影像。

人工智慧驅動的系統具有以卓越的精度檢測和識別缺陷的卓越能力,補充了人類檢查員在保持一致性和客觀性方面的技能。人工智慧是一種寶貴的補充,使檢查員能夠更有效地執行任務並做出更明智的決策。

將人工智慧整合到視覺檢測中的關鍵優勢之一在於它能夠處理人類視覺隱藏的危險區域中的複雜檢測。隨著攝影機技術和電腦視覺演算法的不斷進步,維護技術人員可以在與被檢查物體保持安全距離的同時進行遠端檢查。這項突破確保了人員安全和設備完整性,降低了風險並最大限度地減少了停機時間。

與手動方法相比,可擴展性是人工智慧檢查的另一個優勢。培訓另一名人工檢查員以達到與經驗豐富的檢查員的專業知識和熟練程度相匹配的水平需要時間、資源和大量投資。另一方面,擴展人工智慧檢查系統涉及複製軟體並將其部署到其他檢查站或將其整合到現有基礎設施中。這種可擴展性使企業能夠提高吞吐量並處理更多的檢查,而無需嚴重依賴人類。

生產中的品質保證旨在使裝配線上的產品保持所需的品質水準和標準,並提供高品質的最終輸出。電腦視覺是人工智慧的一個子集,它使用演算法來理解與人眼執行的功能非常相似的數位視覺資料。

傳統的手動目視檢查方法不僅耗時,而且由於品質檢查員的主觀感知和經驗而容易出錯。這會影響品質控制過程的一致性,在給定時間內僅檢測到有限數量的缺陷。此外,遺留系統不靈活,必須經常重新配置以適應產品變化。這也是費時費力的。

視覺檢測系統的高成本可能會限制市場的成長。

視覺檢測系統的技術進步不斷發展,但額外的功能可能需要額外的價格。與人工智慧等新時代技術整合的自動視覺檢測系統的成本可能明顯高於手動系統或半自動化系統。由於初始投資成本較高,中低階製造業可能會依賴傳統的人工檢查做法。這些製造商對新穎、技術含量高的系統的採用率可能會顯著降低,從而阻礙其市場成長。

目錄

第 1 章:方法與範圍

第 2 章:定義與概述

第 3 章:執行摘要

第 4 章:動力學

  • 影響因素
    • 促進要素
      • 藥品產量不斷上升
      • 檢驗技術的進步
    • 限制
      • 先進視覺檢測機成本高
    • 機會
    • 影響分析

第 5 章:產業分析

  • 波特五力分析
  • 定價分析
  • 專利分析
  • 監管分析

第 6 章:依操作模式分類

  • 自動的
  • 半自動
  • 手動的

第 7 章:按申請

  • 平板電腦
  • 膠囊
  • 軟膠囊

第 8 章:最終用戶

  • 醫藥行業
  • 保健品業
  • 其他

第 9 章:按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 西班牙
    • 義大利
    • 歐洲其他地區
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 韓國
    • 亞太其他地區
  • 中東和非洲

第 10 章:競爭格局

  • 競爭場景
  • 市場定位/佔有率分析
  • 併購分析

第 11 章:公司簡介

  • Daiichi Jitsugyo Asia Pte. Ltd.
    • 公司概況
    • 產品組合
    • 財務概覽
    • 主要進展
    • 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:附錄

簡介目錄
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