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1444829

全球人工智慧影像識別市場：市場佔有率分析、產業趨勢/統計、成長預測（2024-2029）

AI Image Recognition - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)

出版日期: 2024年02月15日 | 出版商:

Mordor Intelligence | 英文 130 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球人工智慧影像識別市場規模預計到2024年為25.5億美元，到2029年達到44.4億美元，在預測期內（2024-2029年）年複合成長率為11.76%，預計將會成長。

人工智慧（AI）是一個利用科技複製人類智慧認知過程的技術領域。自人工智慧誕生以來，影像識別一直被認為是最盈利、最有益的應用之一。影像識別與電腦視覺密切相關，是電腦科學的一個跨學科領域，研究電腦辨識和理解影像中材料的能力。

主要亮點

人工智慧 (AI) 嵌入日常生活的許多方面，包括語言識別軟體、智慧型手機的人工智慧增強攝影機、銀行的金融交易分析以及自動駕駛汽車的演算法。隨著人工智慧在從診斷到治療建議的眾多應用中的出現，醫學影像正在經歷根本性轉變。
人工智慧 (AI) 技術因其增強和自動化操作以及豐富用戶體驗的能力而得到越來越多的採用。診斷放射學等醫療保健領域擴大採用人工智慧，預計將在預測期內推動人工智慧市場的成長。預計國防部門將透過為技術開發分配巨額預算來推動人工智慧創新。
巨量資料在各行各業廣泛應用。網際網路和新技術的強勁普及使全球產生的資料量顯著增加。物聯網、工業4.0、5G等技術將促進人工智慧的發展。由於技術進步而產生的資料大量增加，從而產生了巨量資料。人工智慧透過自動化和改進耗時且勞力密集的資料準備、資料視覺化、預測建模和其他複雜的分析操作來簡化巨量資料分析。人工智慧加快了對大型複雜資料集的分析速度，並揭示了相關的使用者見解。
隨著人工智慧和深度學習的使用在全球範圍內從科技巨頭擴展到中小企業，對人工智慧工程師的需求大幅增加。然而，人工智慧專家卻很短缺。
COVID-19感染疾病對市場產生了積極影響，因為很少有行業的人工智慧採用率增加。但其他公司則面臨下滑。此次疫情為企業領導者提供了有關數位轉型的重要見解。資料分析和人工智慧為組織提供的潛力是最引人注目的教訓之一。例如，人工智慧輔助的公共部門流程、人員和服務將線上上化，地方政府、區域和國家政府採用人工智慧。在過去的幾個月裡，世界各國政府已經學會如何使用人工智慧作為抗病毒的武器，從教育大眾和測試患者到追蹤接觸者。

AI影像識別市場趨勢

醫療保健產業預計將顯著成長

由於AI影像識別技術在電腦斷層掃描、X光、超音波、磁振造影領域的廣泛應用，AI影像識別技術在醫療保健領域的採用在全球範圍內迅速成長。此外，從提高安全性和患者識別到改善患者監測和診斷，人工智慧影像識別技術正在幫助改善患者體驗並減少醫護人員的工作量。
此外，AI影像識別模型有助於診斷各種病症。可以訓練和部署模型來掃描 MRI 或X光設備的圖像和其他視覺輸出，以檢測、定位和標記模型經過訓練可識別的醫療異常。例如，可以確定影像中腫瘤的數量和確切位置，使醫生能夠將注意力集中在惡性或癌性元素上。
此外，AI影像識別模型可以協助搜尋與患者體檢結果密切相關的相似症狀資訊。 MRI 或 X 光掃描已投入使用，為醫療團隊提供各種疾病和創傷的深入影像，包括癌症、骨折和許多其他疾病。圖像相似性搜尋透過檢索相似圖像使該領域受益。這有助於醫生透過提供與感興趣患者的影像相似的 X 光或 MRI 影像來做出準確的診斷。
此外，入院和出院過程對於醫療機構來說至關重要。 AI影像識別技術使其更方便、更快捷，同時減少了醫院工作人員的工作量。到 2026 年，全球醫療機構使用機器人輔助手術的潛在年度收益預計將達到約 400 億美元。此外，虛擬護理助理AI應用的年價值預計將達到200億美元。當患者進入醫院時，臉部辨識系統會掃描他們的臉部並將其與醫院的資料庫進行配對。即時驗證患者身份，無需提供文件或額外的身份證明。
此外，有幾個因素同時推動人工智慧與放射學的整合。首先，許多國家都缺乏接受放射學訓練的醫生，但鑑於診斷影像的需求不斷增加，這將有助於提高工作效率和生產力。

亞太地區預計將成為成長最快的市場

中國、印度和日本等國家的製造、醫療保健、零售和電子商務最終用戶行業採用人工智慧影像識別服務可能有助於亞太地區市場佔有率的上升。近年來，該領域先進技術的引進速度加快。運算系統的整體容量隨著資料處理、儲存和可用性的增加而增加。
根據安全與新興技術中心（CSET）的報告，印度完全有能力成為人工智慧生態系統的關鍵參與者和重要合作夥伴。美國智庫發布的研究顯示，印度的人工智慧政策正走在正確的軌道上。此外，六家印度科技新興企業已加入獨角獸俱樂部。 2020 年，印度只有 7 家獨角獸企業，2019 年只有 6 家。專家預測，到2025年，印度將有超過150家獨角獸公司。
此外，政府和組織正在投資用於管治的人工智慧技術的研究和開發。中國政府宣布製定下一代人工智慧發展規劃，承諾政策支援、中央統籌，2030年總投資超過1500億美元。到本十年末，中國人工智慧業務預計將產生年收益1,600億美元，相關產業年銷售額將達1.6兆美元。
由於中國在安全和監控系統中擴大使用臉部認證，亞太市場預計將成長。例如，中國政府在國內實施了實名登記法，要求居民將其線上帳戶與政府官方身分證件關聯起來。這些規定增加了全國範圍內影像識別的使用。預計這將促進目標市場。
AI影像識別現在也開始應用於電子商務領域。視覺搜尋市場在過去已經顯著成長。這很重要，因為當今的消費者更有可能使用產品照片而不是文字來尋找產品。該地區的人工智慧影像識別公司正在開發新產品，亞太地區的政府機構正在進行大量投資，以加強該地區的技術組件並加強數位轉型政策。這些舉措和發展預計將推動該地區所研究的市場。

AI影像識別產業概況

研究市場中競爭對手之間的敵意非常激烈，預計在預測期內仍將持續存在。該市場的主要企業定期創新其產品，以獲得永續的競爭優勢。因此，各公司不斷激烈競爭以創新和推出新產品。激烈的競爭壓低了價格並降低了整個行業的盈利。

2022 年 8 月，領先的非結構化圖像、視訊、文字和音訊資料人工智慧平台 Clarifai 推出了 Clarifai 社區，這是一項基於 Clarifai 平台構建的新免費服務。資料科學家和開發人員使用它。現實是，任何人都可以使用 AI 並從中受益，這使得業務用戶無需使用程式碼即可輕鬆創建模型和工作流程，並與世界各地的其他人共用。繼續前進。

2022年9月，國際婦產科超音波學會（ISUOG）2022世界大會定於9月16日至9月18日在英國倫敦舉行。領先的醫療設備製造商、三星電子子公司 Samsung Medison 將出席其高階 HERA W10 婦產科超音波設備的展示活動。 HERA W10系統配備了智慧輔助（AI診斷解決方案）、V8和V7。這兩款頂級超音波系統可與各種醫學專業的優質人工智慧診斷解決方案結合使用。

其他福利

Excel 格式的市場預測 (ME) 表
3 個月分析師支持

公司簡介
- 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8章投資分析

第9章市場的未來

簡介目錄

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).

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

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.)