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市场调查报告书

商品编码

1615931

AI相机市场机会、成长动力、产业趋势分析及2024 - 2032年预测

AI Camera Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 - 2032

出版日期: 2024年09月04日 | 出版商:

Global Market Insights Inc. | 英文 186 Pages | 商品交期: 2-3个工作天内

价格

简介目录

2023 年，全球人工智慧相机市场估值达到 75.5 亿美元，预计 2024 年至 2032 年将以 18% 的年复合成长率(CAGR) 成长。学习，显着增强了人工智慧相机的功能。这些先进的相机现在能够以更高的精度和效率执行复杂的任务，包括物体检测、脸部辨识和行为分析，从而实现即时资料处理。这种能力对于需要精确和快速决策的行业尤其有价值。随着人工智慧和机器学习技术的不断发展，人工智慧相机预计将在各个领域中广泛采用。

人工智慧相机市场按类型、组件、技术、垂直行业和地区进行细分，反映了这些相机支援的多样化应用。组件部分分为硬体、软体和服务。硬体领域包括相机、感测器、处理器和储存设备等要素，预计到2032 年将超过145 亿美元。智能功能。具有整合人工智慧处理器的高解析度相机是该类别的顶级驱动因素之一，可实现强大的视觉资料撷取和处理功能。

按垂直行业划分，市场分为消费性电子、製造和零售、体育、农业、医疗保健、汽车和运输、政府和执法等。製造和零售领域预计将经历最高的成长率，预计2024 年至2032 年复合年增长率将超过19.5%。支援AI相机的成长。这些设备受益于增强的人工智慧相机功能，例如脸部辨识、手势控制和即时物体侦测。从地区来看，2023年北美主导全球AI相机市场，占总市占率超过38%。

市场范围
开始年份	2023年
预测年份	2024-2032
起始值	75.5 亿美元
预测值	340 亿美元
复合年增长率	18%

该地区先进的技术基础设施和人工智慧的快速采用推动了这一领先地位，其中美国由于对人工智慧研发的大量投资和大型科技公司的存在而处于领先地位。人工智慧相机在北美的各种应用中得到广泛应用，突显了该地区对跨行业技术创新和自动化的承诺。

产业生态系统分析
供应商矩阵
利润率分析
技术与创新格局
专利分析
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 人工智慧和机器学习演算法的进步
  - 对智慧监控解决方案的需求不断增长
  - 人工智慧相机在消费性电子产品中的集成
  - 零售和电子商务的采用率不断提高
  - 政府对智慧城市的措施与投资
- 产业陷阱与挑战
  - 资料隐私和安全问题
  - 实施成本高且技术复杂
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按类型，2021 - 2032

主要趋势
监视器
智慧型手机相机
数位相机
工业相机
其他的

第 6 章：市场估计与预测：按组成部分，2021 - 2032 年

主要趋势
硬体
软体
服务

第 7 章：市场估计与预测：依技术分类，2021 - 2032 年

主要趋势
影像/人脸辨识
语音/语音识别
电脑视觉
情境意识
其他的

第 8 章：市场估计与预测：按产业垂直划分，2021 - 2032 年

主要趋势
消费性电子产品
製造与零售
运动的
农业
卫生保健
汽车与运输
政府和执法部门
其他的

第 9 章：市场估计与预测：按地区，2021 - 2032

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 义大利
- 西班牙
- 欧洲其他地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地区
MEA
- 阿联酋
- 南非
- 沙乌地阿拉伯
- MEA 的其余部分

第 10 章：公司简介

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.

简介目录

Product Code: 11248

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.

Market Scope
Start Year	2023
Forecast Year	2024-2032
Start Value	$7.55 Billion
Forecast Value	$34 Billion
CAGR	18%

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.

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