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이미지 인식 시장 규모, 점유율, 성장 분석 : 제공별, 기술별, 조직 규모별, 용도별, 지역별 - 산업 예측(2024-2031년)
Image Recognition Market Size, Share, Growth Analysis, By Offering, By Technology, By Organization Size, By Application, By Region - Industry Forecast 2024-2031
상품코드 : 1610821
리서치사 : SkyQuest Technology Consulting Pvt. Ltd.
발행일 : 2024년 12월
페이지 정보 : 영문 165 Pages
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한글목차

이미지 인식 세계 시장 규모는 2022년 432억 달러로 평가되며, 2023년 502억 달러에서 2031년 1,668억 5,000만 달러로 예측 기간(2024-2031년) 동안 16.2%의 CAGR을 기록할 것으로 예상됩니다.

사진의 대중화 시대는 인공지능을 활용해 디지털 이미지와 동영상을 분석하는 이미지 인식 기술의 급속한 발전이 돋보입니다. 이 분야는 스마트 사진 라이브러리, 타깃 마케팅, 보안 모니터링 등 다양한 산업 분야에서 다양한 용도로 활용되면서 큰 견인차 역할을 하고 있습니다. 특히 머신러닝은 자율주행차, 자동 이미지 분류, 소셜 미디어의 얼굴 인식 등의 기능 향상에 중요한 역할을 하고 있습니다. 디지털 마케팅은 시각적 분석을 통해 큰 이익을 얻고 있으며, 법집행기관은 맥컬런 공항의 TSA 여행 서류 검사기(TSA Travel Document Checker) 테스트에서 볼 수 있듯이 보안 검색대에서 얼굴 인식 도구에 대한 의존도를 높이고 있습니다. 또한, 팬데믹(세계적 대유행) 기간 동안 정부는 이 기술을 활용하여 보건 프로토콜의 준수 여부를 모니터링하고 있으며, 이는 현대 사회에서 이 기술의 활용도와 중요성을 더욱 강조하고 있습니다.

목차

소개

조사 방법

주요 요약

시장 역학과 전망

주요 시장 인사이트

이미지 인식 시장 규모 : 제공별 & CAGR(2024-2031)

이미지 인식 시장 규모 : 기술별 & CAGR(2024-2031)

이미지 인식 시장 규모 : 조직 규모별 & CAGR(2024-2031)

이미지 인식 시장 규모 : 용도별 & CAGR(2024-2031)

이미지 인식 시장 규모 : 업계별 & CAGR(2024-2031)

이미지 인식 시장 규모 : 지역별 & CAGR(2024-2031)

경쟁 정보

주요 기업 개요

결론과 추천사항

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영문 목차

영문목차

Global Image Recognition Market size was valued at USD 43.2 billion in 2022 and is poised to grow from USD 50.20 billion in 2023 to USD 166.85 billion by 2031, growing at a CAGR of 16.2% during the forecast period (2024-2031).

The photo popularity era highlights the rapid advancements in image recognition technology, leveraging artificial intelligence to analyze digital images and videos. This sector has gained significant traction due to its diverse applications across various industries, such as smart photo libraries, targeted marketing, and security surveillance. Notably, machine learning has played a crucial role in enhancing functionalities like self-driving cars, automated image sorting, and social media facial recognition. Digital marketing benefits greatly from visual analytics, while law enforcement increasingly relies on facial recognition tools at security checkpoints, exemplified by TSA's Travel Document Checker test at McCarran Airport. Additionally, during the pandemic, governments have utilized this technology for monitoring compliance with health protocols, further underscoring its versatility and importance in contemporary society.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Image Recognition 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.

Global Image Recognition Market Segmental Analysis

Global Image Recognition Market is segmented by Offering, Technology, Organization Size, Application, Vertical, and Region. Based on Offering, the market is segmented into Hardware, Software, Services. Based on Technology, the market is segmented into QR/Barcode Recognition, Digital Image Processing, Facial Recognition, Object Recognition, Pattern Recognition, Optical Character Recognition, Other Technologies. Based on Organization Size, the market is segmented into Large Enterprises, SMEs. Based on Application, the market is segmented into Scanning & Imaging, Security & Surveillance, Image Search, Augmented Reality, Marketing & Advertising, Other Applications. Based on Vertical, the market is segmented into BFSI, Retail & E-commerce, Healthcare, Government, Transport & Logistics, Automotive, IT & Telecommunications, Manufacturing, Other Verticals. Based on Region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.

Driver of the Global Image Recognition Market

The global image recognition market is primarily driven by the need for profitable, efficient, and compliant retail transaction processes. Image recognition technologies are transforming how businesses manage consumer interactions, product marketing, and inventory in retail environments. With the rise of online shopping, platforms like Snapchat are integrating visual product features that leverage image recognition, enabling users to capture and purchase items directly. The shift towards e-commerce, accelerated by the COVID-19 pandemic, has pushed retailers to abandon traditional sales approaches in favor of innovative AI-driven solutions. This technology enhances shelf identification, product placement, and compliance with merchandising standards, allowing manufacturers and retailers to gain valuable market insights and respond swiftly to consumer needs.

Restraints in the Global Image Recognition Market

One significant restraint in the Global Image Recognition market is the high cost associated with implementing image recognition software. The development of advanced technologies such as facial recognition, deep learning, artificial intelligence (AI), machine learning (ML), and gesture recognition involves substantial investment, which can hinder market growth. While many businesses recognize the potential benefits of these technologies in enhancing productivity, those with limited budgets are often deterred from pursuing image recognition solutions. The steep prices of established vendor offerings, including platforms like Microsoft Computer Vision API, Amazon Rekognition, and Google Cloud Vision API, pose further challenges, making it difficult for smaller retail and e-commerce enterprises to adopt these solutions effectively. This financial barrier could restrict the growth and accessibility of image recognition technologies during the forecast period.

Market Trends of the Global Image Recognition Market

The Global Image Recognition market is witnessing a significant upward trend fueled by advancements in machine learning and increased demand for high-bandwidth data services. Various sectors, particularly banking, financial services, insurance (BFSI), media and entertainment, retail, and IT & telecom, are increasingly adopting image recognition technologies to enhance operational efficiencies and customer experiences. This technology plays a crucial role in identifying objects, locations, logos, and individuals within images. Additionally, innovative capabilities allow seamless integration of offline materials, such as brochures and catalogs, with dynamic digital content, paving the way for engaging advertising and augmented reality experiences. As these applications broaden, the market is set for continued robust growth.

Table of Contents

Introduction

Research Methodology

Executive Summary

Market Dynamics & Outlook

Key Market Insights

Global Image Recognition Market Size by Offering & CAGR (2024-2031)

Global Image Recognition Market Size by Technology & CAGR (2024-2031)

Global Image Recognition Market Size by Organization Size & CAGR (2024-2031)

Global Image Recognition Market Size by Application & CAGR (2024-2031)

Global Image Recognition Market Size by Vertical & CAGR (2024-2031)

Global Image Recognition Market Size & CAGR (2024-2031)

Competitive Intelligence

Key Company Profiles

Conclusion & Recommendation

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