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세계의 AI 영상 인식 시장 : 종류(하드웨어, 소프트웨어, 서비스), 최종사용자 산업(자동차, 의료, 제조), 지역별 - 성장, 동향, 예측(2018-2023년)

AI Image Recognition Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026)

리서치사 Mordor Intelligence Pvt Ltd
발행일 2021년 01월 상품 코드 635792
페이지 정보 영문
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세계의 AI 영상 인식 시장 : 종류(하드웨어, 소프트웨어, 서비스), 최종사용자 산업(자동차, 의료, 제조), 지역별 - 성장, 동향, 예측(2018-2023년) AI Image Recognition Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026)
발행일 : 2021년 01월 페이지 정보 : 영문

본 상품은 영문 자료로 한글과 영문목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문목차를 참고해주시기 바랍니다.

AI 영상 인식 시장은 2018-2023년의 조사기간에 31.9%의 CAGR로 추이할 것으로 예측됩니다. 인공지능의 발전으로 인해 소프트웨어에 의한 사진·비디오 인식과 내용 설명이 가능해졌습니다. AI 영상 인식은 물체 인식에 의한 자동차의 안전성 향상 및 클라이언트 분석, 사용자 인증, 질병 진단 등에서 많은 편리성을 제공합니다. 하드웨어의 비용 하락 및 급속히 진행되는 인공지능의 도입은 이 시장의 성장을 촉진하는 요인입니다.

세계의 AI 영상 인식 시장에 대해 조사했으며, 시장 개요, 종류·최종사용자 산업·지역별 시장 동향, 시장 규모 추이와 예측, 성장요인·저해요인 및 시장 기회 분석, 경쟁 구도, 주요 기업 개요 등의 정보를 정리하여 전해드립니다.

목차

제1장 서론

  • 주요 조사 성과
  • 조사의 전제조건
  • 시장 정의
  • 조사 결과

제2장 조사 방법

제3장 개요

제4장 시장 역학

  • 시장 개요
  • 시장 성장 촉진요인
    • 하드웨어의 비용 하락
    • 빅데이터 분석의 사용 증가
    • 인공지능의 도입 확대
  • 시장 성장 저해요인
    • 전문가의 부족
  • 산업 밸류체인 분석
  • Porter의 산업 분석
    • 구매기업의 교섭력
    • 공급기업의 교섭력
    • 신규 진출업체의 위협
    • 대체품의 위협
    • 경쟁 기업 간 경쟁 관계

제5장 세계의 AI 영상 인식 시장 : 부문별

  • 종류별
    • 하드웨어
    • 소프트웨어
    • 서비스
  • 최종사용자별
    • 보안
    • 의료
    • 자동차
    • 소매
    • 은행·금융 서비스·보험
    • 기타
  • 지역별
    • 북미
    • 유럽
    • 아시아태평양
    • 중동·아프리카
    • 라틴아메리카

제6장 기업 개요

  • Google LLC
  • Amazon Web Services(AWS), Inc
  • IBM Corp
  • Intel Corporation
  • Qualcomm Corp
  • Samsung Electronics
  • Micron Technology
  • Microsoft Corporation
  • NVIDIA Corporation
  • Xilinx, Inc

제7장 투자 분석

제8장 시장 전망

KSA 18.05.18

The AI Image Recognition Market estimated value was USD 1695.93 million in 2020 and is expected to reach a value of USD 5161.04 million by 2026, registering a CAGR of 24.82% during the forecast period (2021 - 2026). Image recognition can be applied across various fields, such as vehicular safety, advertising, security and surveillance, biometric scanning machines, pedestrian recognition, and E-commerce, with various applications in multiple domains, the market is expected to witness strong growth during the forecast period.

  • The adoption of artificial intelligence (AI) technology is rising, owing to its ability to enhance and automate operations and enrich the user experience. Governments are also focusing on increasing their AI capabilities to revolutionize various sectors, from healthcare to transport. EU has committed to invest EUR 1.5 billion in AI to catch up with the United States and Asia.
  • With AI becoming the core of many technology-based applications, the investments in the sector are growing. Image recognition stands as one of the standard features for many AI-related applications. Thus, the market is expected to leverage the fast-growing technology and expand in the coming years.
  • According to Eirik Thorsnes at UNI Research in Bergen, Norway, "There has been a tremendous development in recent years, and we are now surpassing the human level in terms of image recognition and analysis. Computers never get tired of looking at near-identical images and may be capable of noticing even the tiniest nuances that we humans cannot see. In addition, as it gets easier to analyze large volumes of images and video, many processes in society can be improved and optimized,"

Key Market Trends

Banking Sector is Expected to Witness Significant Growth

  • Images are real and extensive, and unlike other forms of data, they also cannot be forged easily. These characteristics make the images, repositories of big data, and hence, exploiting such valuable data can be a great source of information for banks and financial institutions.
  • The BFSI industry has been a major benefactor of AI, with firms in the industry relying on the technology for a diverse range of applications, like staying competitive in a continuously evolving market, personalizing communication with customers, and improving the productivity drastically through automation of monotonous tasks (which are major tasks due to the conventional infrastructure in a number of old school financial institutions).
  • Facebook can now identify and map 98% of its images correctly to the right person. Imaging technology is being used for identifying and removing fake social accounts. Such image-based fake identification has immense potential in enriching credit-scoring and risk-modeling of banks. Images could also be used by underwriters in risk assessment and fraud identification.
  • With image processing and recognition becoming an important application of AI across various industries, it is thus expected to witness positive growth over the forecast period.

Asia-Pacific Expected to Witness Rapid Growth

  • Image recognition solutions have been gaining prominence incessantly in Asia-Pacific, particularly to cater to the growing need for security solutions due to the advent of the smart homes and smart city initiatives in the developing economies in the region.
  • With the growing e-commerce segment in the retail industry in the recent past in the region, vendors in the market are investing majorly in the image recognition technologies to offer an enhanced digital experience to consumers.
  • Company preferences for different platforms vary greatly in this region, with AI vendors in China preferring Tensor Flow or Caffe, whereas companies in Singapore prefer Microsoft CNTK, and companies in Japan prefer Chainer Software, to support AI technologies. The ease of availability of such platforms has created huge potential opportunities for vendors to leverage these advanced technologies to develop tools for critical business needs.
  • Artificial intelligence offers the region massive opportunities for growth, innovation, and productivity, with the potential to address key issues in the social environment within the fast-developing economies.

Competitive Landscape

The AI image recognition market is highly competitive owing to the presence of many small and large players providing service and solutions in domestic as well as in the international market. The market appears to be fragmented. The key players operating in this market are innovating their products on a regular basis and this is leading them to gain sustainable competitive advantage. Due to this, there is always a high competition between players to innovate and introduce new products.

  • March 2019 - Amazon Rekognition launched enhanced face analysis. This is the fifth model update overall since the service launched. Face analysis generates rich metadata about detected faces in the form of gender, age range, emotions, attributes such as 'Smile', 'Eyeglasses' and 'Beard', face pose, face image quality, and face landmarks.
  • April 2019 - Google partnered with Atos in opening its new AI laboratory in Paris. The facility will enable the customers and private and public organizations to identify use cases for AI, co-create and prototype workable AI solutions, and drive adoption of the rapidly developing technology.

Reasons to Purchase this report:

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

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Growing AI Adoption
    • 4.2.2 Increasing Use of Big Data Analytics
    • 4.2.3 Declining Costs of Hardware
  • 4.3 Market Restraints
    • 4.3.1 Lack of Technical Expertize
  • 4.4 Industry Value Chain Analysis
  • 4.5 Industry Attractiveness Porter's Five Forces Analysis
    • 4.5.1 Threat of New Entrants
    • 4.5.2 Bargaining Power of Buyers/Consumers
    • 4.5.3 Bargaining Power of Suppliers
    • 4.5.4 Threat of Substitute Products
    • 4.5.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION

  • 5.1 By Type
    • 5.1.1 Hardware
    • 5.1.2 Software
    • 5.1.3 Services
  • 5.2 By End-user Vertical
    • 5.2.1 Automotive
    • 5.2.2 BFSI
    • 5.2.3 Healthcare
    • 5.2.4 Retail
    • 5.2.5 Security
    • 5.2.6 Other End-user Verticals
  • 5.3 Geography
    • 5.3.1 North America
    • 5.3.2 Europe
    • 5.3.3 Asia-Pacific
    • 5.3.4 Latin America
    • 5.3.5 Middle East & Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 Amazon Web Services (AWS) Inc.
    • 6.1.2 Google LLC
    • 6.1.3 Clarifai Inc.
    • 6.1.4 IBM Corporation
    • 6.1.5 Intel Corporation
    • 6.1.6 Micron Technologies Inc
    • 6.1.7 Microsoft Corporation
    • 6.1.8 Nvidia Corporation
    • 6.1.9 Qualcomm Corp.
    • 6.1.10 Samsung Electronics
    • 6.1.11 Xilinx Inc.

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS

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