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市场调查报告书
商品编码
1444829

全球人工智慧影像识别市场：市场占有率分析、产业趋势/统计、成长预测（2024-2029）

AI Image Recognition - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
出版日期: | 出版商: Mordor Intelligence | 英文 130 Pages | 商品交期: 2-3个工作天内

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简介目录

全球人工智慧影像识别市场规模预计到2024年为25.5亿美元，到2029年达到44.4亿美元，在预测期内（2024-2029年）复合年增长率为11.76%，预计将会成长。

AI影像辨识-市场

人工智慧（AI）是一个利用科技复製人类智慧认知过程的技术领域。自人工智慧诞生以来，影像识别一直被认为是最盈利、最有益的应用之一。影像识别与电脑视觉密切相关，是电脑科学的一个跨学科领域，研究电脑辨识和理解影像中材料的能力。

主要亮点

  • 人工智慧 (AI) 嵌入日常生活的许多方面，包括语言识别软体、智慧型手机的人工智慧增强摄影机、银行的金融交易分析以及自动驾驶汽车的演算法。随着人工智慧在从诊断到治疗建议的众多应用中的出现，医学影像正在经历根本性转变。
  • 人工智慧 (AI) 技术因其增强和自动化操作以及丰富用户体验的能力而得到越来越多的采用。诊断放射学等医疗保健领域越来越多地采用人工智慧，预计将在预测期内推动人工智慧市场的成长。预计国防部门将透过为技术开发分配巨额预算来推动人工智慧创新。
  • 巨量资料在各行各业广泛应用。互联网和新技术的强劲普及使全球产生的资料量显着增加。物联网、工业4.0、5G等技术将促进人工智慧的发展。由于技术进步而产生的资料大量增加，从而产生了巨量资料。人工智慧透过自动化和改进耗时且劳力密集的资料准备、资料视觉化、预测建模和其他复杂的分析操作来简化巨量资料分析。人工智慧加快了对大型复杂资料集的分析速度，并揭示了相关的使用者见解。
  • 随着人工智慧和深度学习的使用在全球范围内从科技巨头扩展到中小企业，对人工智慧工程师的需求大幅增加。然而，人工智慧专家却很短缺。
  • COVID-19感染疾病对市场产生了积极影响，因为很少有行业的人工智慧采用率增加。但其他公司则面临下滑。此次疫情为企业领导者提供了有关数位转型的重要见解。资料分析和人工智慧为组织提供的潜力是最引人注目的教训之一。例如，人工智慧辅助的公共部门流程、人员和服务将在线上化，地方政府、区域和国家政府采用人工智慧。在过去的几个月里，世界各国政府已经学会如何使用人工智慧作为抗病毒的武器，从教育大众和测试患者到追踪接触者。

AI影像识别市场趋势

医疗保健产业预计将显着成长

  • 由于AI影像识别技术在电脑断层扫描、X光、超音波、磁振造影领域的广泛应用，AI影像识别技术在医疗保健领域的采用在全球范围内迅速成长。此外，从提高安全性和患者识别到改善患者监测和诊断，人工智慧影像识别技术正在帮助改善患者体验并减少医护人员的工作量。
  • 此外，AI影像识别模型有助于诊断各种病症。可以训练和部署模型来扫描 MRI 或X光设备的图像和其他视觉输出，以检测、定位和标记模型经过训练可识别的医疗异常。例如，可以确定影像中肿瘤的数量和确切位置，使医生能够将注意力集中在恶性或癌性元素上。
  • 此外，AI影像识别模型可以协助搜寻与患者体检结果密切相关的相似症状资讯。 MRI 或 X 光扫描已投入使用，为医疗团队提供各种疾病和创伤的深入影像，包括癌症、骨折和许多其他疾病。图像相似性搜寻透过检索相似图像使该领域受益。这有助于医生透过提供与感兴趣患者的影像相似的 X 光或 MRI 影像来做出准确的诊断。
  • 此外，入院和出院过程对于医疗机构来说至关重要。 AI影像识别技术使其更方便、更快捷，同时减少了医院工作人员的工作量。到 2026 年，全球医疗机构使用机器人辅助手术的潜在年度收益预计将达到约 400 亿美元。此外，虚拟护理助理AI应用的年价值预计将达到200亿美元。当患者进入医院时，脸部辨识系统会扫描他们的脸部并将其与医院的资料库进行配对。即时验证患者身份，无需提供文件或额外的身份证明。
  • 此外，有几个因素同时推动人工智慧与放射学的整合。首先，许多国家都缺乏接受放射学训练的医生，但鑑于诊断影像的需求不断增加，这将有助于提高工作效率和生产力。

亚太地区预计将成为成长最快的市场

  • 中国、印度和日本等国家的製造、医疗保健、零售和电子商务最终用户行业采用人工智慧影像识别服务可能有助于亚太地区市场占有率的上升。近年来，该领域先进技术的引进速度加快。运算系统的整体容量随着资料处理、储存和可用性的增加而增加。
  • 根据安全与新兴技术中心（CSET）的报告，印度完全有能力成为人工智慧生态系统的关键参与者和重要合作伙伴。美国智库发布的研究显示，印度的人工智慧政策正走在正确的轨道上。此外，六家印度科技新兴企业已加入独角兽俱乐部。 2020 年，印度只有 7 家独角兽企业，2019 年只有 6 家。专家预测，到2025年，印度将有超过150家独角兽公司。
  • 此外，政府和组织正在投资用于管治的人工智慧技术的研究和开发。中国政府宣布製定下一代人工智慧发展规划，承诺政策支援、中央统筹，2030年总投资超过1500亿美元。到本十年末，中国人工智慧业务预计将产生年收益1,600亿美元，相关产业年销售额将达1.6兆美元。
  • 由于中国在安全和监控系统中越来越多地使用脸部认证，亚太市场预计将成长。例如，中国政府在国内实施了实名登记法，要求居民将其线上帐户与政府官方身分证件关联起来。这些规定增加了全国范围内影像识别的使用。预计这将促进目标市场。
  • AI影像识别现在也开始应用于电子商务领域。视觉搜寻市场在过去已经显着成长。这很重要，因为当今的消费者更有可能使用产品照片而不是文字来寻找产品。该地区的人工智慧影像识别公司正在开发新产品，亚太地区的政府机构正在进行大量投资，以加强该地区的技术组件并加强数位转型政策。这些倡议和发展预计将推动该地区所研究的市场。

AI影像识别产业概况

研究市场中竞争对手之间的敌意非常激烈，预计在预测期内仍将持续存在。该市场的主要企业定期创新其产品，以获得可持续的竞争优势。因此，各公司不断激烈竞争以创新和推出新产品。激烈的竞争压低了价格并降低了整个行业的盈利。

2022 年 8 月，领先的非结构化图像、视讯、文字和音讯资料人工智慧平台 Clarifai 推出了 Clarifai 社区，这是一项基于 Clarifai 平台构建的新免费服务。资料科学家和开发人员使用它。现实是，任何人都可以使用 AI 并从中受益，这使得业务用户无需使用程式码即可轻鬆创建模型和工作流程，并与世界各地的其他人共用。继续前进。

2022年9月，国际妇产科超音波学会（ISUOG）2022世界大会定于9月16日至9月18日在英国伦敦举行。领先的医疗设备製造商、三星电子子公司 Samsung Medison 将出席其高阶 HERA W10 妇产科超音波设备的展示活动。 HERA W10系统配备了智慧辅助（AI诊断解决方案）、V8和V7。这两款顶级超音波系统可与各种医学专业的优质人工智慧诊断解决方案结合使用。

其他福利

  • Excel 格式的市场预测 (ME) 表
  • 3 个月分析师支持

目录

第一章简介

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章市场洞察

  • 市场概况
  • 产业吸引力－波特五力分析
    • 供应商的议价能力
    • 买方议价能力
    • 新进入者的威胁
    • 替代产品的威胁
    • 竞争公司之间的敌意强度
  • 产业价值链分析
  • 评估 COVID-19 对市场的影响

第五章市场动态

  • 市场驱动因素
    • 扩大人工智慧的采用
    • 更多使用巨量资料分析
    • 降低硬体成本
  • 市场限制因素
    • 缺乏技术专长

第六章市场区隔

  • 按类型
    • 硬体
    • 软体
    • 服务
  • 按最终用途行业
    • 车
    • BFSI
    • 卫生保健
    • 零售
    • 安全
    • 其他最终用途产业
  • 按地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东和非洲

第七章 竞争形势

  • 公司简介
    • Amazon Web Services Inc.（Amazon.Com Inc.）
    • Google LLC（Alphabet Inc.）
    • Clarifai Inc.
    • IBM Corporation
    • Intel Corporation
    • Micron Technologies Inc.
    • Microsoft Corporation
    • Nvidia Corporation
    • Qualcomm Incorporated
    • Samsung Electronics Co. Ltd.
    • Xilinx Inc.（AMD Inc.）

第八章投资分析

第9章市场的未来

简介目录
Product Code: 59761

The AI Image Recognition Market size is estimated at USD 2.55 billion in 2024, and is expected to reach USD 4.44 billion by 2029, growing at a CAGR of 11.76% during the forecast period (2024-2029).

AI Image Recognition - Market

Artificial intelligence (AI) is a technology field that uses technology to replicate the cognitive processes of human intellect. Since its inception, image recognition has long been recognized as one of artificial intelligence's most lucrative and beneficial applications. Image recognition, closely related to computer vision, is an interdisciplinary area of computer science that deals with a computer's capacity to recognize and comprehend the material within images.

Key Highlights

  • Artificial intelligence (AI) has been incorporated into many aspects of daily life, including language recognition software, AI-enhanced cameras for smartphones, financial transaction analysis in banks, and self-driving car algorithms. With the emergence of AI for numerous applications, from diagnosis to therapy recommendations, medical imaging is going through a fundamental transformation.
  • The adoption of artificial intelligence (AI) technology is rising due to its ability to enhance and automate operations and enrich the user experience. The increasing adoption of AI in the healthcare sector, such as in diagnostic radiology, is expected to fuel the growth of the AI market over the forecast period. The defense sector is expected to drive innovations in AI with huge budgets allocated for technology development.
  • Big data is being adopted widely in different industries. With robust internet penetration and new technologies, there is massive growth in the data generated globally. The technologies, such as the Internet of Things, Industry 4.0, and 5G, among others, encourage artificial intelligence. Massive growth in data generation due to technological advancements results in big data. AI simplifies big data analytics by automating and improving data preparation, data visualization, predictive modeling, and other complicated analytical operations that may otherwise be time-consuming and labor-intensive. AI speeds up analyzing massive, complex datasets and surfacing relevant user insights.
  • As AI and deep learning applications expand globally, from tech giants to small and medium-sized businesses, the need for artificial intelligence technicians has increased significantly. However, there has been a shortage of expert AI technicians.
  • COVID-19 positively impacted the market as few industries witnessed an increase in AI adoption; however, others faced a decline. The pandemic educated business executives with vital insights into digital transformation. The potential that data analytics and artificial intelligence bring to an organization is one of the most compelling teachings. For instance, AI aids push processes, people, and services online in the public sector and compel local, regional, and national governments to embrace AI. In a few months, governments globally have learned to use AI as a weapon to fight against the virus, from educating the public and screening patients to tracking and tracing contacts.

Artificial Intelligence Image Recognition Market Trends

Healthcare Sector is Expected to Witness Significant Growth

  • The adoption of AI image recognition technology in the healthcare sector is rapidly growing globally, owing to a wide range of applications for artificial intelligence image recognition technology in CT scans, X-rays, ultrasound, and magnetic resonance imaging. Furthermore, from improved security and patient identification to better patient monitoring and diagnosis, AI image recognition technology has helped improve the patient experience and reduce the workload for healthcare workers.
  • Additionally, AI image recognition models can assist in diagnosing various conditions. The models can be trained and deployed to scan images from MRI or X-ray machines and other visual outputs to detect, locate, and flag up medical abnormalities the model has been trained to identify. For instance, it can identify the number and exact locations of tumors within an image, helping to direct the medical practitioner's attention to the malignant or cancerous elements.
  • Furthermore, AI image recognition models help retrieve information on similar conditions closely related to the patient's results from a medical examination. MRI or X-ray scans are already implemented to provide medical teams with insightful images for various diseases and traumas, including cancer, broken bones, and many other conditions. Image similarity search can benefit this field by retrieving similar images, which can help doctors with an accurate diagnosis by supplying X-ray or MRI images of a similar physical appearance to those from the patient of concern.
  • Additionally, check-in and check-out processes are fundamental in the healthcare setup. AI image recognition technology can make them more accessible and faster, simultaneously decreasing the workload for hospital staff. By 2026, the value of the potential annual benefits of using robot-assisted surgery in healthcare settings globally was forecast to be approximately USD 40 billion. Furthermore, it was forecast that the annual value of using virtual nursing assistant AI applications would amount to USD 20 billion. When patients enter the facility, the face recognition system scans their faces and runs them against the hospital database. The patient's identity is verified in real-time without paperwork or additional identification documents.
  • Furthermore, several factors simultaneously drive the integration of AI in radiology. First, in many countries, there is a shortage of doctors trained in radiology, which, considering the rising demand for diagnostic imaging, helps increase work efficiency and productivity.

Asia-Pacific is Expected to be the Fastest Growing Market

  • Adopting AI image recognition services in end-user industries like manufacturing, healthcare, retail, and e-commerce in nations like China, India, Japan, and others may be responsible for this market share rise in the Asian-Pacific region. The adoption of advanced technologies in this area has accelerated in recent years. The overall capacity of computing systems has increased along with data processing, storage, and availability.
  • According to a report by the Center for Security and Emerging Technologies (CSET), India is well-positioned to become a significant player and an essential partner in the AI ecosystem. According to research published by a US think tank, India's AI policy is on the right track. Six more Indian technology start-ups have joined the Unicorn Club. India only produced seven unicorns in 2020 and six in 2019. Experts believe that by 2025, India is expected to have more than 150 unicorns.
  • Furthermore, the government and organizations are investing in the research and development of AI technologies for governance. The Chinese government announced the establishment of the Next Generation Artificial Intelligence Development Plan, which promises policy support, central coordination, and investments totaling more than USD 150 billion by 2030. By the end of this decade, China's AI business is expected to produce USD 160 billion in yearly revenues, with allied industries generating USD 1.6 trillion in annual sales.
  • The Asian Pacific region's market is expected to rise due to China's expanding use of face recognition in security and surveillance systems. As an illustration, the Chinese government has implemented real-name registration laws in the nation, mandating that residents link their online accounts to their official government IDs. These regulations have increased the use of image recognition throughout the country. This will drive the study market.
  • The e-commerce sector is now using AI image recognition as well. The market for visual search has grown significantly in the past. This is significant because today's consumers are more likely to look for products using product photos than words. The AI image recognition firms in the region are developing new products, and government bodies in the Asia Pacific are investing heavily to upscale the region's technological factors and enhance their digital transformation policies. Initiatives and developments like these will drive the study market in the area.

Artificial Intelligence Image Recognition Industry Overview

The intense competitive rivalry in the market studied is high and expected to sustain itself over the forecast period. The key players in this market are innovating their products regularly, leading them to gain a sustainable competitive advantage. Due to this, there is always high competition between players to innovate and introduce new products. The intense competition will decrease prices and decrease the industry's overall profitability.

In August 2022, Clarifai, the leading AI platform for unstructured image, video, text, and audio data, launched a new free service, Clarifai Community, built on Clarifai's platform. Data scientists and developers use it. It is easy for no-code business users to create models and workflows and share them with others globally, advancing the reality that all can use and benefit from AI.

In September 2022, the International Society of Ultrasound in Obstetrics and Gynecology (ISUOG) World Congress 2022 was to take place in London, United Kingdom, from September 16 to September 18. Samsung Medison, a leading medical equipment manufacturer and a subsidiary of Samsung Electronics, will attend the function to demonstrate its high-end HERA W10 obstetric and gynecological ultrasound equipment. The HERA W10 system has Intelligent Assist (AI diagnostic solutions), V8, and V7. These two top-of-the-line ultrasound systems can be employed with premium AI diagnostic solutions in various medical specialties.

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 Buyers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Threat of Substitute Products
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Industry Value Chain Analysis
  • 4.4 Assessment of the Impact of COVID-19 on the Market

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Growing AI Adoption
    • 5.1.2 Increasing Use of Big Data Analytics
    • 5.1.3 Declining Costs of Hardware
  • 5.2 Market Restraints
    • 5.2.1 Lack of Technical Expertise

6 MARKET SEGMENTATION

  • 6.1 By Type
    • 6.1.1 Hardware
    • 6.1.2 Software
    • 6.1.3 Services
  • 6.2 By End-user Verticals
    • 6.2.1 Automotive
    • 6.2.2 BFSI
    • 6.2.3 Healthcare
    • 6.2.4 Retail
    • 6.2.5 Security
    • 6.2.6 Other End-user Verticals
  • 6.3 By Geography
    • 6.3.1 North America
    • 6.3.2 Europe
    • 6.3.3 Asia-Pacific
    • 6.3.4 Latin America
    • 6.3.5 Middle-East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Amazon Web Services Inc. (Amazon.Com Inc.)
    • 7.1.2 Google LLC (Alphabet Inc.)
    • 7.1.3 Clarifai Inc.
    • 7.1.4 IBM Corporation
    • 7.1.5 Intel Corporation
    • 7.1.6 Micron Technologies Inc.
    • 7.1.7 Microsoft Corporation
    • 7.1.8 Nvidia Corporation
    • 7.1.9 Qualcomm Incorporated
    • 7.1.10 Samsung Electronics Co. Ltd.
    • 7.1.11 Xilinx Inc. (AMD Inc.)

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET