AI相機市場機會、成長動力、產業趨勢分析及2024 - 2032年預測

2023 年，全球人工智慧相機市場估值達到 75.5 億美元，預計 2024 年至 2032 年將以 18% 的年複合成長率(CAGR) 成長。學習，顯著增強了人工智慧相機的功能。這些先進的相機現在能夠以更高的精度和效率執行複雜的任務，包括物體檢測、臉部辨識和行為分析，從而實現即時資料處理。這種能力對於需要精確和快速決策的行業尤其有價值。隨著人工智慧和機器學習技術的不斷發展，人工智慧相機預計將在各個領域中廣泛採用。

人工智慧相機市場按類型、組件、技術、垂直行業和地區進行細分，反映了這些相機支援的多樣化應用。組件部分分為硬體、軟體和服務。硬體領域包括相機、感測器、處理器和儲存設備等要素，預計到2032 年將超過145 億美元。智慧功能。具有整合人工智慧處理器的高解析度相機是該類別的頂級促進因素之一，可實現強大的視覺資料擷取和處理功能。

按垂直行業分類，市場分為消費性電子、製造和零售、體育、農業、醫療保健、汽車和運輸、政府和執法等。製造和零售領域預計將經歷最高的成長率，預計2024 年至2032 年複合年成長率將超過19.5%。支援AI相機的成長。這些設備受益於增強的人工智慧相機功能，例如臉部辨識、手勢控制和即時物體偵測。從地區來看，2023年北美主導全球AI相機市場，佔總市佔率超過38%。

該地區先進的技術基礎設施和人工智慧的快速採用推動了這一領先地位，其中美國由於對人工智慧研發的大量投資和大型科技公司的存在而處於領先地位。人工智慧相機在北美的各種應用中得到廣泛應用，突顯了該地區對跨行業技術創新和自動化的承諾。

目錄

第 1 章：方法與範圍

第 2 章：執行摘要

第 3 章：產業洞察

• 產業生態系統分析
• 供應商矩陣
• 利潤率分析
• 技術與創新格局
• 專利分析
• 重要新聞和舉措
• 監管環境
• 衝擊力
  • 成長動力
    • 人工智慧和機器學習演算法的進步
    • 對智慧監控解決方案的需求不斷成長
    • 人工智慧相機在消費性電子產品中的整合
    • 零售和電子商務的採用率不斷提高
    • 政府對智慧城市的措施與投資
  • 產業陷阱與挑戰
    • 資料隱私和安全問題
    • 實施成本高且技術複雜
• 成長潛力分析
• 波特的分析
• PESTEL分析

第 4 章：競爭格局

• 介紹
• 公司市佔率分析
• 競爭定位矩陣
• 戰略展望矩陣

第 5 章：市場估計與預測：按類型，2021 - 2032

• 主要趨勢
• 監視器
• 智慧型手機相機
• 數位相機
• 工業相機
• 其他

第 6 章：市場估計與預測：按組成部分，2021 - 2032 年

• 主要趨勢
• 硬體
• 軟體
• 服務

第 7 章：市場估計與預測：依技術分類，2021 - 2032 年

• 主要趨勢
• 影像/人臉辨識
• 語音/語音識別
• 電腦視覺
• 情境意識
• 其他

第 8 章：市場估計與預測：按產業垂直分類，2021 - 2032 年

• 主要趨勢
• 消費性電子產品
• 製造與零售
• 運動的
• 農業
• 衛生保健
• 汽車與運輸
• 政府和執法部門
• 其他

第 9 章：市場估計與預測：按地區，2021 - 2032

• 主要趨勢
• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 英國
  • 德國
  • 法國
  • 義大利
  • 西班牙
  • 歐洲其他地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 澳新銀行
  • 亞太地區其他地區
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 拉丁美洲其他地區
• MEA
  • 阿拉伯聯合大公國
  • 南非
  • 沙烏地阿拉伯
  • MEA 的其餘部分

第 10 章：公司簡介

• AV Costar
• Axis Communications AB
• Bosch Sicherheitssysteme GmbH
• Canon Inc.
• D-Link Corporation
• Fujitsu Ltd
• Hangzhou Hikvision Digital Technology Co., Ltd.
• Honeywell International Inc.
• Huawei Technologies Co., Ltd.
• Johnson Controls
• LG Electronics
• Nikon Corporation
• Panasonic Holdings Corporation
• Samsung Electronics Co., Ltd.
• Sony Corporation
• Swann
• Teledyne FLIR LLC
• VIVOTEK Inc
• Xiaomi Inc
• Zhejiang Dahua Technology Co. Ltd.

The Global AI Camera Market reached a valuation of USD 7.55 billion in 2023 and is forecasted to grow at a compound annual growth rate (CAGR) of 18% from 2024 to 2032. This rapid growth is driven by advancements in artificial intelligence (AI) and machine learning, which have significantly enhanced the functionality of AI cameras. These advanced cameras now perform complex tasks with higher accuracy and efficiency, including object detection, facial recognition, and behavior analysis, enabling real-time data processing. This capability is particularly valuable in industries that demand precision and fast decision-making. AI cameras are anticipated to see expanded adoption across various sectors as AI and machine learning technologies continue to evolve.

The market for AI cameras is segmented by type, component, technology, industry vertical, and region, reflecting the diverse range of applications these cameras support. The component segment is divided into hardware, software, and services. The hardware segment, encompassing elements such as cameras, sensors, processors, and storage devices, is set to surpass USD 14.5 billion by 2032. Key technological advances in sensors and processors are crucial to the segment's growth, as they enhance image quality and AI capabilities. High-resolution cameras with integrated AI processors are among the top drivers for this category, enabling powerful visual data capture and processing functions.

By industry vertical, the market is segmented into consumer electronics, manufacturing and retail, sports, agriculture, healthcare, automotive and transportation, government and law enforcement, among others. The manufacturing and retail segment is expected to experience the highest growth rate, with a projected CAGR exceeding 19.5% between 2024 and 2032. In consumer electronics, the demand for high-tech features in devices like smartphones, security systems, and smart home products supports the growth of AI cameras. These devices benefit from enhanced AI camera functionalities, such as facial recognition, gesture control, and real-time object detection. Regionally, North America dominated the global AI camera market in 2023, accounting for over 38% of the total market share.

The region's advanced technological infrastructure and rapid AI adoption drive this leadership position, with the United States leading due to substantial investments in AI research and development and the presence of major technology companies. AI cameras are widely used across various applications in North America, underscoring the region's commitment to technological innovation and automation across sectors.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Market scope & definition
• 1.2 Base estimates & calculations
• 1.3 Forecast calculation
• 1.4 Data sources
  • 1.4.1 Primary
  • 1.4.2 Secondary
    • 1.4.2.1 Paid sources
    • 1.4.2.2 Public sources

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Vendor matrix
• 3.3 Profit margin analysis
• 3.4 Technology & innovation landscape
• 3.5 Patent analysis
• 3.6 Key news and initiatives
• 3.7 Regulatory landscape
• 3.8 Impact forces
  • 3.8.1 Growth drivers
    • 3.8.1.1 Advancements in AI and machine learning algorithms
    • 3.8.1.2 Rising demand for smart surveillance solutions
    • 3.8.1.3 Integration of ai cameras in consumer electronics
    • 3.8.1.4 Increasing adoption in retail and e-commerce
    • 3.8.1.5 Government initiatives and investments in smart cities
  • 3.8.2 Industry pitfalls & challenges
    • 3.8.2.1 Data privacy and security concerns
    • 3.8.2.2 High implementation costs and technical complexity
• 3.9 Growth potential analysis
• 3.10 Porter's analysis
  • 3.10.1 Supplier power
  • 3.10.2 Buyer power
  • 3.10.3 Threat of new entrants
  • 3.10.4 Threat of substitutes
  • 3.10.5 Industry rivalry
• 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Introduction
• 4.2 Company market share analysis
• 4.3 Competitive positioning matrix
• 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Type, 2021 - 2032 (USD million & Units)

• 5.1 Key trends
• 5.2 Surveillance cameras
• 5.3 Smartphone cameras
• 5.4 Digital cameras
• 5.5 Industrial cameras
• 5.6 Others

Chapter 6 Market Estimates & Forecast, By Component, 2021 - 2032 (USD million & Units)

• 6.1 Key trends
• 6.2 Hardware
• 6.3 Software
• 6.4 Services

Chapter 7 Market Estimates & Forecast, By Technology, 2021 - 2032 (USD million & Units)

• 7.1 Key trends
• 7.2 Image/face recognition
• 7.3 Voice/speech recognition
• 7.4 Computer vision
• 7.5 Context awareness
• 7.6 Others

Chapter 8 Market Estimates & Forecast, By Industry Vertical, 2021 - 2032 (USD million & Units)

• 8.1 Key trends
• 8.2 Consumer electronics
• 8.3 Manufacturing & retail
• 8.4 Sports
• 8.5 Agriculture
• 8.6 Healthcare
• 8.7 Automotive & transportation
• 8.8 Government & law enforcement
• 8.9 Others

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2032 (USD million & Units)

• 9.1 Key trends
• 9.2 North America
  • 9.2.1 U.S.
  • 9.2.2 Canada
• 9.3 Europe
  • 9.3.1 UK
  • 9.3.2 Germany
  • 9.3.3 France
  • 9.3.4 Italy
  • 9.3.5 Spain
  • 9.3.6 Rest of Europe
• 9.4 Asia Pacific
  • 9.4.1 China
  • 9.4.2 India
  • 9.4.3 Japan
  • 9.4.4 South Korea
  • 9.4.5 ANZ
  • 9.4.6 Rest of Asia Pacific
• 9.5 Latin America
  • 9.5.1 Brazil
  • 9.5.2 Mexico
  • 9.5.3 Rest of Latin America
• 9.6 MEA
  • 9.6.1 UAE
  • 9.6.2 South Africa
  • 9.6.3 Saudi Arabia
  • 9.6.4 Rest of MEA

Chapter 10 Company Profiles

• 10.1 AV Costar
• 10.2 Axis Communications AB
• 10.3 Bosch Sicherheitssysteme GmbH
• 10.4 Canon Inc.
• 10.5 D-Link Corporation
• 10.6 Fujitsu Ltd
• 10.7 Hangzhou Hikvision Digital Technology Co., Ltd.
• 10.8 Honeywell International Inc.
• 10.9 Huawei Technologies Co., Ltd.
• 10.10 Johnson Controls
• 10.11 LG Electronics
• 10.12 Nikon Corporation
• 10.13 Panasonic Holdings Corporation
• 10.14 Samsung Electronics Co., Ltd.
• 10.15 Sony Corporation
• 10.16 Swann
• 10.17 Teledyne FLIR LLC
• 10.18 VIVOTEK Inc
• 10.19 Xiaomi Inc
• 10.20 Zhejiang Dahua Technology Co. Ltd.