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AI相机市场——2023年至2028年预测
市场调查报告书
商品编码
1302932

AI相机市场——2023年至2028年预测

AI camera Market - Forecasts from 2023 to 2028
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 131 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

人工智能相机市场在预测期内预计将以 17.75% 的复合年增长率增长。

配备AI的相机是利用人工智能（AI）技术的功能来改进和扩展其功能和性能的相机。 与捕捉和存储图像和视频的传统相机不同，人工智能相机旨在实时分析数据，使其能够执行各种高级功能。 AI摄像头应用于零售、製造和安全等各个行业。 对于寻求优化运营和增加收入的企业来说，人工智能相机是一个强大的工具。 通过实时分析数据，人工智能摄像头可以提供有关客户行为、生产流程和安全威胁的宝贵见解，帮助企业做出更明智的决策并更快地响应不断变化的情况。

人工智能相机市场驱动因素：

  • 智能手机上对具有改进图像质量的监控摄像头的需求不断增长：对具有改进监控摄像头的智能手机的需求不断增长，这是人工智能摄像头市场的驱动因素，而人工智能驱动的摄像头技术有望满足这一需求。鼓励开发和采用 随着消费者和企业需要更先进的智能手机监控功能，人工智能摄像头在提供面部识别、物体检测和实时视频分析等功能方面变得越来越重要。
  • 主要参与者的投资：人工智能相机领域主要参与者的投资和融资帮助他们改善了产品供应、扩大了客户群并提高了市场渗透率。 这种增加的投资和资金将使公司能够投资于研发、提高製造能力并开展营销活动以覆盖更多用户。 例如，2022 年 11 月，专注于安全摄像头云分析的初创公司 Spot AI 在 Scale Venture Partners 领投的一轮融资中获得了 4000 万美元的融资。 该系统由 Spot AI 开发，利用先进算法分析闭路电视录像，以提取与安全、安保和运营活动相关的宝贵见解。 此外，2021 年 1 月，总部位于哥本哈根的 Veo Technologies 在 B 轮融资中成功筹集了 2000 万欧元（2450 万美元）。 Vio Technologies 开发了基于云的订阅服务和摄像机，利用计算机视觉软件自动选择比赛精彩片段。 这些亮点保存在客户可以访问和共享的平台上。 这笔资金用于扩大在美国的业务并提高技术能力。 该公司的目标是利用其相机的现有市场，特别是足球领域的市场。

市场趋势：

  • 2023 年 4 月，Sightlogix 发布了其最新产品 Sighttracker PTZ。 Sighttracker PTZ 是一款采用 Edge AI 技术的智能摄像机，旨在以出色的速度和效率自动检测和跟踪室外入侵者。 这款高性能 PTZ 摄像机结合了 Sighttracker 软件和 AI 分类分析，使您可以跟踪和监控目标，而不会出现网络延迟或延迟。 它还专门设计用于与 Sightsensor 热成像摄像机配合使用，即使入侵者移出摄像机的视野，它也能对其进行跟踪。
  • 2023 年 4 月，研华宣布推出最新创新产品 ICAM-520。 ICAM-520由NVIDIA製造的AI计算模块（具体为Xavier NX型号）、SONY製造的工业级图像传感器MX 296、高科技LED灯和可调节焦距的镜头组成根据需要 紧凑型工业相机。 该设备将图像采集和AI推理功能集成到一个系统中，减少了IP摄像机、云服务器和AI推理系统之间距离造成的延迟。 该产品非常适合需要实时响应的边缘人工智能应用，例如自动光学检查、光学字符识别和边缘物体识别。
  • 2023 年 3 月，索尼发布了 α7R V，这是面向专业摄影师的 R 系列相机产品线的最新型号。 它具有拍摄高质量照片和视频的功能，如 61.0MP 静态图像、8 级图像稳定、8K 视频输出和 4 轴多角度监视器。 索尼最先进的图像传感器配备了新的AI处理单元，可实现AI图像识别，以及图像处理引擎BIONZ XR，可实现高级主体识别和拍摄。
  • 2022 年 8 月，Strata Worldwide 完成了从 Boral Limited 和 Firetail Pty Ltd 手中收购 Bright Path AI (BPAI)。 此次收购使 Strata 能够为客户提供强大的基于人工智能的摄像头系统，以改善包括采矿业在内的多个行业的工作场所安全和报告。 BPAI 使用两种摄像头技术：一种是用于监控限制区域内行人的固定视觉系统，另一种是连接到设备上的移动数字视觉系统，用于提醒操作员注意与人员或其他物体可能发生的碰撞。

全球人工智能相机市场的区域分析。

按地区划分，AI相机市场分为北美、南美、欧洲、中东/非洲和亚太地区。

中东和非洲 (MEA) 人工智能相机市场预计在预测期内将大幅增长。 该地区正在迅速采用新技术，并看到各个行业正在向数字化转变。 基础设施开发投资的增加以及对智慧城市解决方案不断增长的需求正在推动该地区人工智能相机市场的增长。 阿联酋、沙特阿拉伯和卡塔尔等国家在该地区率先采用人工智能相机技术。 这是由于需要加强机场、港口和商业建筑等关键基础设施的安全和监视措施。 新商业建筑和住宅建筑的建设也促进了该地区人工智能相机市场的增长。

内容

第一章简介

  • 市场概览
  • 市场定义
  • 调查范围
  • 市场细分
  • 货币
  • 先决条件
  • 基准年和预测年的时间表

第二章研究方法

  • 调查数据
  • 先决条件

第 3 章执行摘要

  • 研究亮点

第 4 章市场动态

  • 市场驱动因素
  • 市场製约因素
  • 波特五力分析
  • 行业价值链分析

第五章人工智能相机市场：按应用划分

  • 简介
  • 智能手机和平板电脑
  • 闭路电视摄像机
  • 数码相机
  • 其他

第六章 AI 摄像头市场：按技术划分

  • 简介
  • 图像/人脸识别
  • 语音/语音识别
  • 计算机视觉
  • 其他

第七章 AI 摄像头市场：按地区划分

  • 简介
  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 西班牙
    • 其他
  • 中东/非洲
    • 沙特阿拉伯
    • 阿拉伯联合酋长国
    • 以色列
    • 其他
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 印度尼西亚
    • 泰国
    • 台湾
    • 其他

第8章竞争环境与分析

  • 主要公司及战略分析
  • 新兴公司和市场盈利能力
  • 合併、收购、协议和合作
  • 供应商竞争力矩阵

第9章公司简介

  • Honeywell International Inc.
  • Dahua Technology USA Inc.
  • Samsung
  • e-con Systems
  • Google LLC
  • Spot AI, Inc
  • Huawei Device Co., Ltd.
  • Ubiquiti Inc.
  • Axis Communications AB
  • Canon
简介目录
Product Code: KSI061615198

The AI camera market is estimated to grow at a CAGR of 17.75% during the forecast period.

An AI-powered camera is a camera that leverages the capabilities of artificial intelligence (AI) technology to improve and expand its features and performance. Unlike traditional cameras, which capture and store images or video, AI cameras are designed to analyze data in real-time, allowing them to perform various advanced functions. AI cameras are used in various industries, including retail, manufacturing, and security. AI cameras are a powerful tool for businesses looking to optimize their operations and improve their bottom line. By analyzing data in real-time, AI cameras can provide valuable insights into customer behavior, production processes, and security threats, allowing businesses to make more informed decisions and respond quickly to changing conditions.

AI Camera Market Drivers:

  • Increasing need for surveillance cameras with improved quality in smartphones- The growing demand for smartphones with improved surveillance cameras is a driver for the AI camera market because it is prompting the development and adoption of AI-powered camera technologies to meet this need. As consumers and businesses seek more advanced smartphone surveillance capabilities, AI cameras are becoming increasingly important in delivering features like facial recognition, object detection, and real-time video analytics.
  • Investments by key companies- Investment and funding secured by key companies in the AI camera sector have helped key players improve product offerings, expand their customer base, and improve market penetration. This increased investment and funding enables companies to invest in research and development, improve manufacturing capabilities, and launch marketing campaigns to reach a larger audience. For instance, in November 2022, Spot AI, a startup specializing in cloud-based analytics for security cameras, secured $40 million in a funding round led by Scale Venture Partners. The system developed by Spot AI employs sophisticated algorithms to analyze footage from security cameras, extracting valuable insights related to safety, security, and operational activity. Additionally, in January 2021, Veo Technologies, headquartered in Copenhagen, successfully raised €20m ($24.5m) in a series B funding round. Veo Technologies created a cloud-based subscription service and a video camera that leverages computer vision software to select games' highlights automatically. These highlights are then stored on a platform that customers can access and share. The new funding was utilized to expand its business in the US and advance the technology's capabilities. The company aimed to capitalize on the existing market for its cameras, particularly in soccer.

Market Developments:

  • In April 2023, Sightlogix unveiled its latest product, the Sighttracker PTZ, an intelligent camera with Edge AI technology designed to automatically detect and track outdoor intruders with exceptional speed and efficiency. This high-performance PTZ camera incorporates Sighttracker software and AI classification analytics, enabling the camera to follow and monitor targets without experiencing network delays or latency. It has been specially designed to work with Sightsensor thermal detection cameras, allowing it to stay locked onto intruders even when they move beyond the field of view of the detecting camera.
  • In April 2023, Advantech unveiled its latest innovation, the ICAM-520, a compact industrial camera that consists of an AI computing module from NVIDIA, specifically the Xavier NX model, an industrial-level image sensor produced by SONY known as MX 296, high-tech LED lights, and a lens that can adjust focus as needed. The device combines image acquisition and AI inference functions into a single system, reducing latency caused by the distance between IP cameras, cloud servers, and AI inference systems. This offering is ideal for edge AI applications that require real-time responsiveness, including automated optical inspection, optical character recognition, and object recognition at the edge.
  • In March 2023, Sony unveiled the Alpha 7R V, the latest addition to its R series camera lineup that caters to professional photographers. Boasting 61.0MP still images, 8-step image stabilization, 8K movie output, and a 4-axis multi-angle monitor, the camera is packed with features for capturing high-quality photos and videos. The device incorporates Sony's cutting-edge image sensor with a new AI processing unit for AI-based image recognition and a BIONZ XR image processing engine for advanced subject recognition and capture.
  • In August 2022, Strata Worldwide completed the acquisition of Bright Path AI (BPAI) from Boral Limited and Firetail Pty Ltd. The acquisition allowed Strata to provide its customers with powerful AI-based camera systems for improving workplace safety and reporting in multiple industries, including mining. BPAI features two camera technologies, a fixed vision system for monitoring people on foot in restricted zones, and a mobile digital vision system, mounted on equipment to alert operators to potential collisions with personnel or other objects.

Global AI Camera Market geographical analysis.

Based on geography, the AI camera market is segmented into North America, South America, Europe, Middle East and Africa, and Asia Pacific.

The Middle East and Africa (MEA) AI camera market is expected to grow significantly during the forecast period. The region has been experiencing rapid growth in adopting new technologies and is witnessing a shift toward digitization in various sectors. The increase in investment in infrastructure development and the rise in demand for smart city solutions are driving the growth of the AI camera market in the region. Countries such as the UAE, Saudi Arabia, and Qatar are leading the adoption of AI camera technology in the region, driven by the need for enhanced security and surveillance measures in critical infrastructures such as airports, seaports, and commercial buildings. The construction of new commercial and residential buildings also contributes to the growth of the AI camera market in the region.

Market Segmentation:

By Application

  • Smartphones and Tablets
  • CCTV Camera
  • Digital Camera
  • Others

By Technology

  • Image and Face recognition
  • Voice and Speech recognition
  • Computer Vision
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Spain
  • Others
  • Middle East And Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Indonesia
  • Thailand
  • Taiwan
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Assumptions

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Force Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. AI CAMERA MARKET BY APPLICATION

  • 5.1. Introduction
  • 5.2. Smartphones and Tablets
  • 5.3. CCTV Camera
  • 5.4. Digital Camera
  • 5.5. Others

6. AI CAMERA MARKET BY TECHNOLOGY

  • 6.1. Introduction
  • 6.2. Image and Face recognition
  • 6.3. Voice and Speech recognition
  • 6.4. Computer Vision
  • 6.5. Others

7. AI CAMERA MARKET BY GEOGRAPHY

  • 7.1. Introduction
  • 7.2. North America
    • 7.2.1. USA
    • 7.2.2. Canada
    • 7.2.3. Mexico
  • 7.3. South America
    • 7.3.1. Brazil
    • 7.3.2. Argentina
    • 7.3.3. Others
  • 7.4. Europe
    • 7.4.1. Germany
    • 7.4.2. France
    • 7.4.3. United Kingdom
    • 7.4.4. Spain
    • 7.4.5. Others
  • 7.5. Middle East And Africa
    • 7.5.1. Saudi Arabia
    • 7.5.2. UAE
    • 7.5.3. Israel
    • 7.5.4. Others
  • 7.6. Asia Pacific
    • 7.6.1. China
    • 7.6.2. Japan
    • 7.6.3. India
    • 7.6.4. South Korea
    • 7.6.5. Indonesia
    • 7.6.6. Thailand
    • 7.6.7. Taiwan
    • 7.6.8. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Emerging Players and Market Lucrativeness
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Vendor Competitiveness Matrix

9. COMPANY PROFILES

  • 9.1. Honeywell International Inc.
  • 9.2. Dahua Technology USA Inc.
  • 9.3. Samsung
  • 9.4. e-con Systems
  • 9.5. Google LLC
  • 9.6. Spot AI, Inc
  • 9.7. Huawei Device Co., Ltd.
  • 9.8. Ubiquiti Inc.
  • 9.9. Axis Communications AB
  • 9.10. Canon