表紙
市場調查報告書

全球AI影像識別市場:各類型(硬體設備,軟體,服務),終端用戶產業(汽車,醫療,製造),地區 - 成長,趨勢,預測(2018年∼2023年)

AI Image Recognition Market - Growth, Trends, and Forecast (2020 - 2025)

出版商 Mordor Intelligence LLP 商品編碼 635792
出版日期 內容資訊 英文 100 Pages
商品交期: 2-3個工作天內
價格
全球AI影像識別市場:各類型(硬體設備,軟體,服務),終端用戶產業(汽車,醫療,製造),地區 - 成長,趨勢,預測(2018年∼2023年) AI Image Recognition Market - Growth, Trends, and Forecast (2020 - 2025)
出版日期: 2020年01月01日內容資訊: 英文 100 Pages
簡介

AI影像識別市場,預計從2018年到2023年的調查期間以31.9%的年複合成長率發展。由於人工智能的發展,可透過軟體識別和內容描述照片、視訊。AI影像識別,提供物體識別提高汽車的安全性,及分析客戶,用戶認證,疾病診斷等許多便利性。硬體設備的成本低,及急速進行的人工智能引進成為這個市場成長的促進因素。

本報告提供全球AI影像識別市場相關調查,市場概要,各類型、終端用戶產業、地區的市場趨勢,市場規模的變化與預測,成長要素、阻礙因素以及市場機會分析,競爭情形,主要企業的簡介等系統性資訊。

目錄

第1章 簡介

  • 主要的調查成果
  • 調查的前提條件
  • 市場定義
  • 調查結果

第2章 調查手法

第3章 摘要整理

第4章 市場動態

  • 市場概況
  • 推動市場要素
    • 硬體設備的成本降低
    • 巨量資料分析的使用增加
    • 人工智能的引進擴大
  • 市場阻礙因素
    • 專家的不足
  • 產業價值鏈分析
  • 波特的五力分析
    • 買方議價能力
    • 供給企業談判力
    • 新加入業者的威脅
    • 替代品的威脅
    • 競爭企業間的敵對關係

第5章 全球AI影像認市場:各市場區隔

  • 各類型
    • 硬體設備
    • 軟體
    • 服務
  • 各終端用戶
    • 安全
    • 醫療
    • 汽車
    • 零售
    • 銀行、金融服務、保險
    • 其他
  • 各地區
    • 北美
    • 歐洲
    • 亞太地區
    • 中東、非洲
    • 南美

第6章 企業簡介

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

第7章 投資分析

第8章 市場未來展望

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目錄
Product Code: 59761

Market Overview

The AI Image Recognition Market estimated value was USD 1695.93 million in 2019 and is expected to reach a value of USD 622.03 million by 2025, registering a CAGR of 24.82% during the forecast period (2020 - 2025). 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,"

Scope of the Report

Image recognition is the ability of the software to identify places, objects, people, writing and actions in images. Computers can use machine vision technologies in combination with a camera and artificial intelligence software to achieve image recognition. Image recognition is used to perform a large number of machine-based visual tasks, such as labeling the content of images with meta tags, performing image content search, guiding autonomous robots and self-driving cars, and in accident avoidance systems.

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
  • Report customization as per the client's requirements
  • 3 months of analyst support

Table of Contents

1 INTRODUCTION

  • 1.1 Study Deliverables
  • 1.2 Study Assumptions
  • 1.3 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Introduction to Market Drivers and Restraints
  • 4.3 Market Drivers
    • 4.3.1 Growing AI Adoption
    • 4.3.2 Increasing Use of Big Data Analytics
    • 4.3.3 Declining Costs of Hardware
  • 4.4 Market Restraints
    • 4.4.1 Lack of Technical Expertize
  • 4.5 Value Chain Analysis
  • 4.6 Industry Attractiveness Porter's Five Forces Analysis
    • 4.6.1 Threat of New Entrants
    • 4.6.2 Bargaining Power of Buyers/Consumers
    • 4.6.3 Bargaining Power of Suppliers
    • 4.6.4 Threat of Substitute Products
    • 4.6.5 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
    • 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 Users
  • 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 IBM Corporation
    • 6.1.2 Alphabet Inc.
    • 6.1.3 Amazon Inc.
    • 6.1.4 Intel Corp.
    • 6.1.5 MICRON TECHNOLOGY INC.
    • 6.1.6 Clarifai 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 MARKET INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS