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市場調査レポート
商品コード
1670682
マシンビジョン市場規模、シェア、成長分析:コンポーネント別、製品別、用途別、最終用途別、地域別 - 産業予測 2025~2032年Machine Vision Market Size, Share, and Growth Analysis, By Component (Hardware, Software), By Product (PC Based, Smart Camera Based), By Application, By End Use, By Region - Industry Forecast 2025-2032 |
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マシンビジョン市場規模、シェア、成長分析:コンポーネント別、製品別、用途別、最終用途別、地域別 - 産業予測 2025~2032年 |
出版日: 2025年02月27日
発行: SkyQuest
ページ情報: 英文 168 Pages
納期: 3~5営業日
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マシンビジョン市場規模は2023年に194億米ドルとなり、予測期間(2025-2032年)のCAGRは13.3%で、2024年の219億8,000万米ドルから2032年には596億9,000万米ドルに成長すると予測されています。
マシンビジョン市場は、さまざまな産業分野で品質検査や自動化に対する需要が高まっていることを背景に、大きく成長する見込みです。主な促進要因としては、自動車製造、飲食品加工、医薬品、包装組立におけるビジョンガイデッドロボットのフレームワークの採用が挙げられます。用途に特化したマシンビジョンシステムに対するニーズの高まりが、技術導入を加速させています。これらのプラットフォームは、高度なマシンビジョンカメラと高度な画像処理を利用して精度、スピード、作業効率を向上させ、最終的には優れた品質管理のニーズに応えます。さらに、プロセスの自動化と人の介在を減らすことに重点が置かれるようになり、導入が拡大しています。しかし、メリットを最大限に引き出し、生産ワークフローにシームレスに統合し、迅速で一貫性のある検査を可能にするためには、継続的な最適化が不可欠です。
Machine Vision Market size was valued at USD 19.4 billion in 2023 and is poised to grow from USD 21.98 billion in 2024 to USD 59.69 billion by 2032, growing at a CAGR of 13.3% during the forecast period (2025-2032).
The machine vision market is set for significant growth, driven by escalating demands for quality inspection and automation across various industrial sectors. Key drivers include the adoption of vision-guided robotic frameworks in automotive manufacturing, food and beverage processing, pharmaceuticals, and packaging assembly. The rising need for application-specific machine vision systems is accelerating technology uptake. These platforms utilize advanced machine vision cameras and sophisticated image processing to enhance precision, speed, and operational efficiency, ultimately meeting the need for superior quality control. Additionally, increased focus on process automation and reduced human intervention support their growing deployment. However, ongoing optimization is essential to maximize benefits and ensure seamless integration into production workflows, allowing for rapid, consistent inspections.
Top-down and bottom-up approaches were used to estimate and validate the size of the Machine Vision market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Machine Vision Market Segments Analysis
Global Machine Vision Market is segmented by Component, Product, Application, End Use and region. Based on Component, the market is segmented into Hardware, Software and Services. Based on Product, the market is segmented into PC Based and Smart Camera Based. Based on Application, the market is segmented into Quality Assurance and Inspection, Positioning and Guidance, Measurement, Identification and Predictive Maintenance. Based on End Use, the market is segmented into Automotive, Pharmaceuticals & Chemicals, Electronics & Semiconductor, Pulp & Paper, Printing & Labeling, Food & Beverage (Packaging and Bottling), Glass & Metal, Postal & Logistics and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Machine Vision Market
The Machine Vision market is set to experience significant growth as industries increasingly adopt cutting-edge technologies to enhance productivity and safeguard operations. However, a strong emphasis on human capital remains essential. Investing in targeted skills development and robust safety protocols equips the workforce with necessary competencies, reinforcing commitments to safety and quality. Such investments promote operational efficiency and inspire confidence and satisfaction among buyers of industrial products and services. Consequently, this commitment to enhancing safety and quality is anticipated to drive greater investment in machine vision solutions, creating a more dynamic and competitive market landscape moving forward.
Restraints in the Machine Vision Market
The Machine Vision market faces significant constraints due to the challenges surrounding automation and workforce preparedness. While automation enhances operational efficiency and quality control, it creates barriers for lower-skilled workers, limiting their access to emerging job opportunities. A lack of qualified machine vision specialists threatens to reduce efficiency in manufacturing processes, leading to increased downtimes and unreliable inspections. Consequently, rising operational costs can undermine both consistency and optimization. To remain competitive in a rapidly evolving landscape, companies must address the gap between the potential of new technologies and the skill development of their workforce, ensuring that employees are adequately prepared to leverage these advancements.
Market Trends of the Machine Vision Market
The Machine Vision market is experiencing significant growth driven by the integration of Industry 4.0 technologies in manufacturing. As industries increasingly focus on optimizing productivity and efficiency, the demand for advanced computer vision systems is surging. These systems enable real-time quality monitoring, predictive maintenance, and defect detection, transforming operations throughout the supply chain. By enhancing asset utilization and minimizing downtime, Machine Vision solutions are critical to supporting the streamlined processes that Industry 4.0 fosters. This trend is expected to accelerate in the coming years, making Machine Vision a vital component in the evolution of smart manufacturing environments.