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北美機器視覺系統:市場佔有率分析、產業趨勢與統計、成長預測(2025-2030 年)

NA Machine Vision Systems - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)

出版日期: | 出版商: Mordor Intelligence | 英文 100 Pages | 商品交期: 2-3個工作天內

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簡介目錄

預測期內北美機器視覺系統市場預計複合年成長率為 6.5%

NA 機器視覺系統-市場-IMG1

關鍵亮點

  • 北美是提供機器視覺解決方案的公司的巨大市場。由於製造業早期採用自動化,且該地區有大量供應商,預計該區域市場將在預測期內顯著成長。據先進自動化協會稱,為機器人和其他機器提供視覺智慧的機器視覺組件和系統的銷售額在 2020 年上半年有所下降,但下半年北美市場有所復甦。
  • 例如,總部位於加拿大的iENSO最近推出了基於Ambarella的嵌入式視覺平台生態系統。非視覺運算和3D成像等新興機器視覺技術與人工智慧、機器學習和深度學習相結合,將使機器視覺能夠解決不斷擴展的新應用範圍。
  • 從品質檢測到產品分類再到引導機器人,機器視覺系統正在幫助自動化技術將人類工人從危險而繁瑣的任務中解放出來。機器視覺還可以幫助安全系統發現威脅、駕駛自動駕駛汽車以及檢查世界上大部分基礎設施。
  • 隨著汽車、工業等多個領域以及常規產業發生越來越多的變化,機器視覺系統市場正在加速發展。
  • 例如,2022 年 3 月,Zebra Technologies 收購了 Matrox Imaging,後者提供獨立於平台的軟體、軟體開發套件(SDK)、智慧型相機、3D 感測器、視覺控制器、輸入/輸出(I/O) 卡和幀採集器。 Matrox Imaging 用於獲取、檢查、評估和記錄工廠自動化、電子和醫藥包裝、半導體檢查等領域的工業視覺系統的資料。
  • 新冠肺炎疫情嚴重擾亂了所調查市場中各行業的供應鏈和生產。然而,疫情擴大了工業自動化和機器視覺的範圍,以提高效率並解決安全問題。夥伴關係、新產品發布以及應對新冠疫情的舉措是該地區的主要趨勢。

北美機器視覺系統市場趨勢

智慧相機基數可望大幅成長

  • 由於許多終端用戶行業的產品創新率高以及現有應用的擴展,基於相機的創新產品在行業中越來越受歡迎。智慧型相機也使機器視覺系統設計變得更加容易。近年來,該領域不斷創新,出現了配備更大影像感測器的型號、可充當智慧相機的新興嵌入式視覺相機以及能夠執行深度學習和人工智慧任務的新型相機。
  • 智慧型相機中影像感測器解析度的提高、更快的處理器和帶有MIPI 介面的嵌入式視覺相機的整合,以及越來越多的彩色和單色選項(尤其是自COVID-19 疫情爆發以來,這些選項變得越來越流行)都促進了這一領域的進步智慧相機。
  • 機器視覺系統可以在整個生產過程中追蹤產品、成分和包裝,主動追蹤其路徑,確保高水準的品質和安全。例如,根據美國人口普查局的數據,2022年3月美國食品和飲料機構的月度零售額估計約為763億美元。該數據比上個月(2022 年 2 月)增加了約 10%。
  • 總部位於加拿大的 Matrox Imaging 公司最近宣布推出適用於邊緣物聯網設備和新一代智慧相機的 Matrox Iris GTX 型號。該公司的Matrox Iris GTX智慧相機擁有Intel Atom x6,000嵌入式處理器,既可以進行傳統的機器視覺操作,也可以使用Matrox Design Assistant X設備上的軟體以影像分類和分割的形式進行深度學習推理。

預計美國將佔很大市場佔有率

  • 該國處於自動化和產品創新的前沿,從而具有競爭優勢。此外,微晶片技術公司也宣布推出智慧嵌入式視覺計畫。該生態系統將 Microchip 的低功耗 PolarFire FPGA 與高速影像處理介面、影像處理知識產權以及不斷發展的外部合作夥伴生態系統結合。該舉措旨在加速工業、醫療設備、汽車和航太領域機器視覺的發展。預計硬體和軟體供應商的此類技術創新將在預測期內推動市場需求。
  • 政府的先進製造業夥伴關係等舉措將工業界、各大學和聯邦政府聚集在一起,共同投資新的自動化技術,預計將增加機器視覺系統的產量。
  • 此外,許多供應商正在採用夥伴關係和收購策略來獲得競爭優勢。為了保持市場主導地位,大多數硬體供應商透過夥伴關係和收購來獲得強大的軟體開發商。
  • 為了保持生產運作並確保更高的質量,食品和飲料製造商正在轉向人工智慧 (AI) 為其機器視覺檢測系統動力來源。由於人工智慧具有學習和分類模式的能力,機器視覺技術可以發現可能導致生產停止或浪費的瓶子破損或包裝撕裂等問題。
  • 近日,美國斑馬技術公司收購了圖形機器視覺軟體開發商Adaptive Vision,並推出了一系列全新機器視覺智慧相機和固定式工業掃描器。對 Adaptive Vision 及其 Adaptive Vision Studio 和 Library、Deep Learning Add-on 和 WEAVER 推理引擎的收購擴大了 Zebra Technologies 在機器視覺硬體和軟體市場的影響力。該公司還在其 PartnerConnect 計劃中為工業自動化業務合作夥伴、分銷商和系統整合商推出了新的專業軌道。

北美機器視覺系統產業概況

北美機器視覺系統市場競爭適中。產品研究、研發支出、夥伴關係和收購是該地區公司為維持激烈競爭而採取的主要成長策略。市場的主要企業包括康耐視公司、基恩士公司、巴斯勒公司、國家儀器公司、Teledyne DALSA、Flir Systems Inc.、Datalogic SpA 和 Perceptron Inc.

2022 年 9 月, 資料宣布最近與尖端神經形態視覺系統發明家 Prophesee SA 合作開發下一代工業產品。根據該公司介紹,神經形態視覺是一項令人著迷的技術,其靈感來自人類生物系統——確切地說是神經網路——的運作。 Prophesse 開發了一種突破性的基於事件的電腦視覺方法。這個新的視覺類別能夠顯著降低功耗、延遲和資料處理要求,從而揭示傳統基於框架的感測器以前看不到的東西。

2022 年 3 月,RG Group 擴大了與機器視覺供應商康耐視的合作關係。康耐視公司設計、開發、製造和銷售各種基於圖像的產品,所有產品均採用人工智慧 (AI) 技術。康耐視產品包括機器視覺系統和機器視覺感測器。據 RG 集團稱,先進的視覺系統技術是其客戶解決方案的基石,康耐視繼續引領這一快速發展的領域。

其他福利

  • Excel 格式的市場預測 (ME) 表
  • 3 個月的分析師支持

目錄

第 1 章 簡介

  • 研究假設和市場定義
  • 研究範圍

第2章調查方法

第3章執行摘要

第4章 市場洞察

  • 市場概況
  • 產業吸引力-波特五力分析
    • 供應商的議價能力
    • 消費者議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭對手之間的競爭
  • COVID-19 對北美機器視覺系統市場的影響

第5章 市場動態

  • 市場促進因素
    • 對品質檢驗和自動化的需求日益增加
    • 精確缺陷檢測的需求日益增加
  • 市場問題
    • 實施MV系統的複雜性

第6章 市場細分

  • 按組件
    • 硬體
      • 視覺系統
      • 相機
      • 光學和照明系統
      • 影像擷取器
      • 其他
    • 軟體
  • 按產品
    • 基於PC
    • 智慧型相機底座
  • 按最終用戶產業
    • 飲食
    • 醫療藥品
    • 物流與零售
    • 電子和半導體
    • 其他
  • 按國家
    • 美國
    • 加拿大

第7章 競爭格局

  • 公司簡介
    • Cognex Corporation
    • Keyence Corporation
    • Basler AG
    • National Instruments Corporation
    • Teledyne DALSA
    • Flir Systems Inc
    • Datalogic SpA
    • Perceptron Inc
    • Baumer Ltd.
    • Optel Group
    • Uss Vision Inc

第8章投資分析

第9章:市場的未來

簡介目錄
Product Code: 56400

The NA Machine Vision Systems Market is expected to register a CAGR of 6.5% during the forecast period.

NA Machine Vision Systems - Market - IMG1

Key Highlights

  • North America is a sizable market for companies providing machine vision solutions. The regional market is expected to grow substantially over the forecast period, owing to the early introduction of automation in manufacturing and the presence of a significant number of market vendors of regional origin. According to the Association for Advancing Automation, sales of machine vision components and systems that offer vision intelligence to robots and other machines dropped in the first half of 2020; however, the market recovered in North America in the second half.
  • Various innovations are also being seen in the market.For instance, recently, Canada-based iENSO launched an Ambarella-based platform ecosystem for embedded vision applications. AI vision processors for the Edge are provided by Ambarella Inc.Emerging machine vision technologies such as non-visible computational and 3D imaging combined with AI, machine learning, and deep learning enable machine vision to address an ever-expanding range of new applications.
  • Machine vision systems have helped automation technologies save human workers from dangerous and dull jobs, from quality inspection to sorting products to guiding robots. Machine vision has even helped security systems find threats, driven self-driving cars, and inspected a lot of the world's infrastructure.
  • The machine vision systems market is picking up speed as more changes are made in a number of areas and as more changes are made in its usual industries, such as automotive and industrial.
  • For instance, in March 2022, Zebra Technologies announced its intent to acquire Matrox Imaging, a provider of platform-independent software, software development kits (SDKs), smart cameras, 3D sensors, vision controllers, input/output (I/O) cards, and frame grabbers that are used to capture, inspect, assess, and record data from industrial vision systems in factory automation, electronics and pharmaceutical packaging, semiconductor inspection, and more.
  • The outbreak of COVID-19 significantly disrupted the supply chain and production in various industries of the studied market. However, the pandemic also expanded the scope of industrial automation and machine vision to enhance efficiency and address safety concerns. Partnerships, new product launches, and developments addressing COVID-19 were significant regional trends.

North America Machine Vision Systems Market Trends

Smart Camera-based Expected to Witness Significant Growth

  • Innovative camera-based products are gaining popularity in industries due to the high rate of product innovation and expansion of existing applications in many end-user industries. Also, smart cameras have long eased the task of designing machine vision systems. The segment has witnessed continuous innovation in recent years, including models with larger image sensors, emerging embedded vision cameras that function as smart cameras, and new cameras capable of performing deep learning and AI tasks.
  • Increased image sensor resolution in smart cameras, the integration of much faster processors or embedded vision cameras with MIPI interfaces, and the increasing availability of color and monochrome options in the market, which are also gaining popularity, especially after the COVID-19 outbreak, were all innovations in the market.
  • Machine vision systems can track products, raw ingredients, and packaging throughout the production process and actively trace the paths to ensure high levels of quality and safety. For instance, according to the U.S. Census Bureau, the monthly retail sales from U.S. food and beverage stores were estimated at approximately USD 76.3 billion in March 2022. These statistics indicated an increase of about 10 percent from the previous month, February 2022.
  • Matrox Imaging, based in Canada, recently introduced the Matrox Iris GTX model for edge IoT devices and the next generation of intelligent cameras. The company's Matrox Iris GTX smart cameras boast an Intel Atom x6000 embedded processor that can be used for both conventional machine vision operations and deep learning inference in the form of image classification and segmentation using Matrox Design Assistant X on-device software.

United States Expected to Witness Significant Market Share

  • The country is at the forefront of automation and product innovation, providing a competitive advantage. Also, Microchip Technology Corporation introduced its Smart Embedded Vision Initiative. The ecosystem combines Microchip's low-power PolarFire FPGAs with high-speed imaging interfaces, intellectual property for image processing, and an expanded ecosystem of outside partnerships. This initiative aims to accelerate machine vision advancements for industrial, medical device, automotive, and aerospace applications. Such innovations by hardware and software vendors are expected to amplify market demand over the forecast period.
  • Government initiatives, such as the Advanced Manufacturing Partnership, which is undertaken to make the industry, various universities, and the federal government invest in emerging automation technologies, are expected to increase the production of machine vision systems.
  • Product innovation is still a key differentiator among market vendors.Also, many vendors are adopting partnership and acquisition strategies to gain a competitive advantage. Most hardware vendors have acquired strong software developers through partnerships or acquisitions to stay strong in the market.
  • To keep production running and ensure higher quality, food and beverage manufacturers are turning to artificial intelligence (AI) to power machine vision inspection systems. AI's ability to learn and classify patterns lets machine vision technology find broken bottles, torn packaging, and other problems that can stop production and cause waste.
  • Recently, a US-based company, Zebra Technologies Corporation, acquired graphical machine vision software developer Adaptive Vision and launched a new suite of machine vision smart cameras and fixed industrial scanners. With the acquisition of Adaptive Vision and its Adaptive Vision Studio and Library, Deep Learning Add-on, and WEAVER inference engine, Zebra Technologies expands its presence in the machine vision hardware and software marketplaces. The company is also introducing a new specialized track for industrial automation business partners, distributors, and systems integrators in its PartnerConnect program.

North America Machine Vision Systems Industry Overview

The North America Machine Vision Systems Market is moderately competitive in nature. Product launches, high expenses on research and development, partnerships, and acquisitions are the prime growth strategies adopted by the companies in the region to sustain the intense competition. Key players in the market are Cognex Corporation, Keyence Corporation, Basler AG, National Instruments Corporation, Teledyne DALSA, Flir Systems Inc., Datalogic SpA, and Perceptron Inc.

In September 2022, Datalogic partnered with Prophesee SA, inventor of the most advanced neuromorphic vision systems, to announce the recent collaboration regarding the next generation of industrial products. According to the company, neuromorphic vision is a fascinating technology inspired by the behavior of the human biological system, precisely like neural networks. Prophesse has developed a breakthrough event-based vision approach to computer vision. This new vision category enables significant reductions in power, latency, and data processing requirements to reveal what was previously invisible to traditional frame-based sensors.

In March 2022, RG Group expands its partnership with machine vision supplier Cognex. Cognex Corporation designs, develops, manufactures, and markets a wide range of image-based products, all of which use artificial intelligence (AI) techniques that give them the human-like ability to make decisions based on what they see. Cognex products include machine vision systems and machine vision sensors. According to RG Group, the advanced vision system technology is a cornerstone of the company's solutions for clients, and Cognex continues to lead this quickly evolving field.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Bargaining Power of Suppliers
    • 4.2.2 Bargaining Power of Consumers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Threat of Substitutes
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Impact of COVID-19 on the North America Machine Vision Systems Market

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Increasing Need for Quality Inspection and Automation
    • 5.1.2 Rising Demand for Accurate Defect Detection
  • 5.2 Market Challenges
    • 5.2.1 Complications in the Implementation of Mv Systems

6 MARKET SEGMENTATION

  • 6.1 By Component
    • 6.1.1 Hardware
      • 6.1.1.1 Vision Systems
      • 6.1.1.2 Cameras
      • 6.1.1.3 Optics and Illumination Systems
      • 6.1.1.4 Frame Grabber
      • 6.1.1.5 Other Types of Hardware
    • 6.1.2 Software
  • 6.2 By Product
    • 6.2.1 PC-based
    • 6.2.2 Smart Camera-based
  • 6.3 By End-User Industry
    • 6.3.1 Food and Beverage
    • 6.3.2 Healthcare and Pharmaceutical
    • 6.3.3 Logistic and Retail
    • 6.3.4 Automotive
    • 6.3.5 Electronics and Semiconductors
    • 6.3.6 Other End-User Industries
  • 6.4 By Country
    • 6.4.1 United States
    • 6.4.2 Canada

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Cognex Corporation
    • 7.1.2 Keyence Corporation
    • 7.1.3 Basler AG
    • 7.1.4 National Instruments Corporation
    • 7.1.5 Teledyne DALSA
    • 7.1.6 Flir Systems Inc
    • 7.1.7 Datalogic SpA
    • 7.1.8 Perceptron Inc
    • 7.1.9 Baumer Ltd.
    • 7.1.10 Optel Group
    • 7.1.11 Uss Vision Inc

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET