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1559941

影像識別人工智慧相機市場報告：2030 年趨勢、預測與競爭分析

Image Recognition AI Camera Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3個工作天內

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簡介目錄

影像識別AI相機趨勢與預測

至2030年，全球影像識別AI相機市場預計將達到26億美元，2024年至2030年的複合年成長率為21.4%。該市場的關鍵促進因素是該技術在自動駕駛汽車中的使用不斷增加、對基於人工智慧的診斷圖像的需求不斷成長以及工業 4.0 的日益普及。全球影像識別人工智慧相機市場的未來前景廣闊，在掃描和成像、安全和監控、影像搜尋和擴增實境應用方面都存在機會。

Lucintel 預計，由於電腦圖形、自動駕駛汽車、醫學影像處理和影像編輯等各個領域對這種基於組件的影像處理的需求不斷成長，該軟體將在預測期內實現最高成長。

由於商業、工業和政府等各個領域的安全和監控系統對基於人工智慧的攝影機的需求不斷增加，預計安全和監控仍將是最大的細分市場。

由於該地區製造、醫療保健和零售等各種最終用途行業的主要企業以及影像識別技術的快速採用，預計亞太地區將在預測期內實現最高成長。

影像識別AI相機市場新趨勢

隨著許多新興趨勢再形成市場，用於影像識別的人工智慧相機市場正在發生變化和發展。本文介紹了其中一些趨勢。

  • 改進人工智慧演算法人工智慧演算法的發展使得影像識別的準確性和速度逐年提高。深度學習和神經網路正在實現更先進的識別功能，提高各種應用的效能。
  • 與邊緣運算合作：邊緣運算與人工智慧攝影機的結合不僅可以減少延遲，還可以實現更好的即時處理。在設備上而不是在雲端處理資料還可以提高效率和安全性，使其適合需要即時回應的應用程式。
  • 零售使用案例不斷成長零售商擴大採用人工智慧攝影機進行庫存管理、客戶行為分析和個人化行銷目的。因此，正在開發更先進的影像識別技術，以適應零售業的特定要求。
  • 自動駕駛汽車市場成長：人工智慧攝影機市場的成長主要由汽車產業推動。這是因為自動駕駛汽車中使用的導航系統依賴先進的影像識別系統，該系統有助於物體檢測和安全功能，從而推動了該領域的創新。

這些力量共同推動影像識別技術遠遠超出先前的想像，擴大其應用範圍並解決隱私和資料安全問題。

影像識別AI相機市場的最新趨勢

由於技術進步和不斷變化的市場需求，近年來影像識別人工智慧相機市場出現了許多重要趨勢：

  • 效能改進的深度學習模型近年來，先進的深度學習模型顯著提高了影像識別的準確性。變壓器和高級卷積類神經網路等新架構描述了更準確、更可靠的影像分析。
  • 與物聯網整合：物聯網 (IoT) 系統擴大整合人工智慧攝影機。此功能可實現連網型設備之間的無縫資料共用和分析，以改善智慧家庭和工業應用。
  • 更好的臉部辨識技術：臉部辨識技術變得更快、更準確。開發的演算法降低了錯誤率並提高了生物識別安全和認證系統的有效性。
  • 擴展到醫療保健領域：人工智慧相機的其他用途包括測試患者狀況並協助醫生診斷醫療機構內發現的疾病。這一趨勢是由醫療專業人員對複雜影像處理技術的需求所推動的。

新興市場透過技術創新、使用量增加和隱私道德問題受到市場開拓的影響。

影像識別AI相機市場的策略性成長機會

影像識別人工智慧相機市場在各種應用中呈現多種策略成長機會，包括：

  • 智慧城市：智慧城市：智慧城市基礎發展是人工智慧相機成長的關鍵部分。透過先進的監控和分析，這些可用於改善公共、監控道路交通和設計城市。
  • 零售：在零售業，公司正在使用人工智慧攝影機進行庫存管理、了解消費者和個人化購物體驗。希望獲得相對於競爭對手的優勢的公司將這個市場視為不可忽視的潛在擴張市場。
  • 醫療保健：在醫療保健領域，人工智慧攝影機擴大應用於病患監測、影像診斷、遠端醫療等。此細分市場的擴張是由於患者治療效果和業務效率的改善。
  • 汽車產業：例如，自動駕駛汽車在道路上變得越來越普遍，導致汽車領域影像識別人工智慧攝影機的部署快速成長。導航安全和駕駛輔助技術需要 ADAS（高級駕駛輔助系統）。

這樣的機會展示了影像識別影像識別相機的應用有多麼廣泛，以及它們如何促進各行業的創新和進步。

影像識別AI相機市場推廣因素及挑戰

用於影像識別的人工智慧相機的需求變化有多種因素。其中包括技術進步、經濟和政治議題：

推動影像識別AI相機市場的因素如下：

1.人工智慧和機器學習技術的不斷改進正在推動市場。增強的演算法和處理能力使影像識別更加準確和高效。

2. 對安全和監控的日益關注正在推動對人工智慧攝影機的需求。先進的影像識別功能對於有效的監控和威脅偵測仍然很重要。

3. 智慧型設備的激增及其與物聯網的整合正在擴大人工智慧相機的應用範圍。這些設備需要改進的功能以及透過進階影像識別提供更好的使用者體驗。

4. 醫療保健、零售和汽車等越來越多的使用案例將為人工智慧相機打開新市場。這導致了透過創新擴大市場。

影像識別AI相機市場挑戰如下：

1. 隱私問題：監視和資料收集有重大隱私挑戰。因此，我們可以透過透明度和強力的資料保護措施來解決社會問題。

2. 實施成本高：有些公司可能無力安裝先進的人工智慧攝影系統。這表明高昂的初始投資和維護成本可能會阻礙中小企業採用這些技術。

市場動態是由這些促進因素和挑戰決定的，它們影響影像識別人工智慧相機產業的成長機會和策略決策。

影像識別AI相機分部

該研究包括按組件、技術、應用、最終用途行業和地區對全球影像識別人工智慧相機的預測。

各國影像識別AI相機市場前景

由於技術進步和各領域應用的激增，影像識別人工智慧相機市場正在快速成長。介紹一些國家的最新趨勢：

  • 美國：美國市場正在對人工智慧驅動的安全和監控系統進行大量投資。亞馬遜和谷歌等一些公司正在開發影像識別技術，將其與雲端基礎的平台整合以進行即時資料處理。
  • 中國：在中國，政府正在大力投資人工智慧技術，以確保公共並實現智慧城市。海康威視和大華是採用尖端人工智慧技術的主要企業，專注於將人工智慧系統與主要用於臉部辨識技術和監控的先進影像識別系統整合。
  • 德國：德國是推動影像識別技術取得重大進展的領先國家之一，特別關注工業自動化和品管。例如，博世和西門子正在將人工智慧相機引入其製造流程，以提高準確性和效率。
  • 印度：印度的影像識別技術正被用於安全和零售目的。新興企業正在利用人工智慧攝影機的概念來提高客戶滿意度，同時改進安全措施。
  • 日本：將日本人工智慧影像識別融入機器人和家用電子電器產品是日本的主要關注點。索尼和松下等公司正在開發用於機器人、自動駕駛汽車和智慧家庭設備的先進人工智慧相機，反映出多功能用途的傾向。

常問問題

Q.1影像識別AI相機的市場規模有多大？

答：到2030年，全球影像識別AI相機市場規模預計將達到26億美元。

Q.2影像識別AI相機市場的成長預測如何？

答：2024年至2030年，全球影像識別AI相機市場預計將以21.4%的複合年成長率成長。

Q.3 影響影像識別人工智慧相機市場成長的關鍵促進因素有哪些？

答：該市場的關鍵促進因素是該技術在自動駕駛汽車中的使用越來越多、對基於人工智慧的診斷圖像的需求不斷成長以及工業4.0的日益普及。

Q4.市場的主要細分市場有哪些？

答：影像識別人工智慧相機市場的未來前景廣闊，在掃描和成像、安全和監控、影像搜尋和擴增實境應用方面都有機會。

Q5.市場上主要企業有哪些？

答：影像識別AI相機的主要企業有：

  • Apple
  • Canon
  • Hanvon Technology
  • Hewlett Packard Enterprise Development
  • Moleskine
  • NeoLab Convergence
  • Toshiba
  • Wacom
  • XCALLIBRE

Q6.未來最大的細分市場是什麼？

答：Lucintel 預計，由於電腦圖形、自動駕駛汽車、醫學影像處理和影像編輯等各領域對基於組件的影像處理的需求不斷成長，Lucintel 預計軟體在預測期內將出現最高成長。

Q7. 預計未來五年哪個地區將成為最大的市場？

答：由於主要企業的存在以及影像識別技術在製造、醫療保健和零售等各種最終用途行業的快速採用，亞太地區預計將在預測期內實現最高成長。

Q8. 可以客製化報告嗎？

答：是的，Lucintel 列出了 10% 的客製化服務，無需額外費用。

目錄

第1章執行摘要

第2章全球影像識別AI相機市場：市場動態

  • 簡介、背景、分類
  • 供應鏈
  • 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

  • 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
  • 全球影像識別AI相機市場趨勢（2018-2023）及預測（2024-2030）
  • 按組件分類的全球影像識別AI 相機市場
    • 硬體
    • 軟體
    • 服務
  • 按技術分類的全球影像識別AI 相機市場
    • 條碼識別
    • 臉部辨識
    • 物體辨識
    • 模式識別
  • 按應用分類的全球影像識別AI 相機市場
    • 掃描和成像
    • 安全和監視
    • 圖片搜尋
    • 擴增實境
    • 其他
  • 按最終用途產業分類的全球影像識別AI 相機市場
    • BFSI
    • 媒體
    • 娛樂

第4章 2018-2030年區域市場趨勢及預測分析

  • 影像識別AI相機市場按地區分類
  • 北美影像識別AI相機市場
  • 歐洲影像識別AI相機市場
  • 亞太影像識別AI相機市場
  • 其他地區影像識別AI相機市場

第5章 競爭分析

  • 產品系列分析
  • 業務整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
    • 全球影像識別人工智慧相機市場成長機會（按組件）
    • 全球影像識別人工智慧相機市場成長機會（按技術）
    • 全球影像識別人工智慧相機市場成長機會（按應用）
    • 全球影像識別人工智慧相機市場最終用途產業的成長機會
    • 全球影像識別人工智慧相機市場成長機會（按地區）
  • 全球影像識別AI相機市場新趨勢
  • 戰略分析
    • 新產品開發
    • 全球影像識別AI相機市場產能擴張
    • 全球影像識別AI相機市場併購及合資
    • 認證和許可

第7章主要企業概況

  • Apple
  • Canon
  • Hanvon Technology
  • Hewlett Packard Enterprise Development
  • Moleskine
  • NeoLab Convergence
  • Toshiba
  • Wacom
  • XCALLIBRE
簡介目錄

Image Recognition AI Camera Trends and Forecast

The future of the global image recognition AI camera market looks promising with opportunities in the scanning and imaging, security and surveillance, image search, and augmented reality applications. The global image recognition AI camera market is expected to reach an estimated $2.6 billion by 2030 with a CAGR of 21.4% from 2024 to 2030. The major drivers for this market are increasing use of this technology in self-driving vehicles, rising demand for AI based diagnostic imaging, and growing popularity towards industry 4.0.

Lucintel forecast that software is expected to witness highest growth over the forecast period due to increasing need for this component-based image processing in a variety of fields, such as computer graphics, autonomous cars, medical imaging, and picture editing.

Security and surveillance will remain the largest segment due to rising need for AI based cameras in security and surveillance systems across a range of sectors, including business, industry, and government.

APAC is expected to witness highest growth over the forecast period due to presence of key players and rapid adoption of image recognition technologies in various end use industries, such as manufacturing, healthcare, and retail of the region.

Emerging Trends in the Image Recognition AI Camera Market

The AI camera marketplace for image recognition is changing and evolving, as there are many up-and-coming trends that are reshaping the market. This article will discuss some of these trends.

  • Improved AI algorithms: Developments in artificial intelligence algorithms have improved image recognition precision and speed over time. Deep learning and neural networks have enabled more advanced recognition abilities which improve performance across various applications.
  • Partnering with Edge Computing: The combination of edge computing and AI cameras has led to reduced latencies as well as better real-time processing. In addition, processing data on the device instead of in the cloud improves efficiency and security, thus making it suitable for applications needing immediate response times.
  • Retail Use Cases Are Expanding: In retail, AI cameras are increasingly being deployed for inventory management, customer behavior analysis, and personalized marketing purposes. Consequently, more sophisticated image recognition technologies tailored to the specific requirements of retail businesses are being developed.
  • Autonomous Vehicle Market Is Growing: The growth of AI camera market is mainly driven by automobile industry. This is because navigation systems used by autonomous vehicles depend on advanced image recognition systems that facilitate object detection alongside safety features; hence driving innovation within this sector.

All of these combined forces are taking image recognition technology far beyond what was thought possible before, expanding applications for it and tackling privacy and data security issues.

Recent Developments in the Image Recognition AI Camera Market

Recently, there have been a number of significant developments in the image recognition AI camera market due to advancements in technology and shifts in market requirements:

  • Deep Learning Models with Enhanced Performance: Recently, advanced deep learning models have significantly increased the accuracy of image recognition. New architectures like Transformers and advanced Convolutional Neural Networks provide more precise and reliable image analysis.
  • Integration with IoT: Internet of Things (IoT) systems are incorporating AI cameras even more. This feature allows for seamless data sharing and analytics among connected devices improving smart homes as well as industrial applications.
  • Better Facial Recognition Technology: Improvement has been witnessed in the speed and precision of facial recognition technology. There is a reduction in mistake rate by developed algorithms which leads to improved effectiveness of biometric security and authentication systems.
  • Expansion into Healthcare: Other uses for AI cameras include examination of patient's conditions or helping doctors diagnose diseases found within healthcare facilities. This trend is fueled by demand for sophisticated imaging technologies that can be used by medical professionals.

The market is being influenced by these developments through innovation, increased usage, and ethical issues of privacy.

Strategic Growth Opportunities for Image Recognition AI Camera Market

The image recognition AI camera market presents several strategic growth opportunities in various applications, amongst which include:

  • Smart Cities: The coming up with of smart city infrastructure is a major area for the growth of AI cameras. These can be used to improve public security, monitoring road traffic and city designing through sophisticated surveillance and analytics.
  • Retail Sector: In retail, companies are using AI cameras for stock management, consumer understandings and personalized shopping experiences. Companies that want to have an upper hand over their competitors regard this as a potentially expanding market that should not be left unattended.
  • Healthcare: Increasingly, healthcare is adopting AI cameras for patient monitoring, diagnostic imaging as well as telemedicine among other uses. The expansion in this area is attributed to likely patient outcomes improvement and more efficient operations.
  • Automotive Industry: For instance, autonomous vehicles are becoming common on roads leading to rapid growth of image recognition AI cameras deployment in the automotive sector. Navigation safety and driver assistance technologies necessitate advanced IR systems.

These opportunities demonstrate how versatile the applications of image recognition AI cameras can be and how they can spur innovation and advancement across diverse industries

Image Recognition AI Camera Market Driver and Challenges

Various factors are responsible for the change in demand of AI cameras used in image recognition. They include technological advancements, economic and political issues:

The factors responsible for driving the image recognition ai camera market include:

1. Ongoing improvements in AI and machine learning technologies are driving the market. Enhanced algorithms and processing capabilities are enabling more accurate and efficient image recognition.

2. Rising concerns about security and surveillance are boosting demand for AI cameras. For effective monitoring and threat detection, advanced image recognition capabilities remain crucial.

3. The proliferation of smart devices coupled with integration into IoT is widening the application of AI cameras. These devices need an improvement in functionality as well as user experience through advanced image recognition.

4. Increasingly, the field has got more use cases which drive new markets for them like healthcare, retailing or automotive among others. This has led to market expansion through innovativeness.

Challenges in the image recognition ai camera market are:

1. Privacy Concerns: There is a significant challenge posed by privacy associated with surveillance and data collection. The public concern, therefore, can be addressed through transparency and strong data protection measures.

2. High Implementation Costs: Some businesses may not be able to afford advanced AI camera systems for their operations. This implies that high costs of initial investments and maintaining them may hinder smaller firms from adopting these technologies.

Market dynamics are shaped by these drivers and challenges, which influence growth opportunities as well as strategic decisions within the image recognition AI camera industry.

List of Image Recognition AI Camera Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies image recognition AI camera companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the image recognition AI camera companies profiled in this report include-

  • Apple
  • Canon
  • Hanvon Technology
  • Hewlett Packard Enterprise Development
  • Moleskine
  • Neolab Convergence
  • Toshiba
  • Wacom
  • XCALLIBRE

Image Recognition AI Camera by Segment

The study includes a forecast for the global image recognition AI camera by component, technology, application, end use industry, and region

Image Recognition AI Camera Market by Component [Analysis by Value from 2018 to 2030]:

  • Hardware
  • Software
  • Services

Image Recognition AI Camera Market by Technology [Analysis by Value from 2018 to 2030]:

  • Barcode Recognition
  • Facial Recognition
  • Object Recognition
  • Pattern Recognition

Image Recognition AI Camera Market by Application [Analysis by Value from 2018 to 2030]:

  • Scanning and Imaging
  • Security and Surveillance
  • Image Search
  • Augmented Reality
  • Others

Image Recognition AI Camera Market by End Use Industry [Analysis by Value from 2018 to 2030]:

  • BFSI (Banking, Financial Services and Insurance)
  • Media
  • Entertainment

Image Recognition AI Camera Market by Region [Analysis by Value from 2018 to 2030]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

Country Wise Outlook for the Image Recognition AI Camera Market

Technological progressions and a surge in their application across different sectors has led to rapid growth of the market for AI cameras that recognize images. These are recent developments in some countries:

  • United States: The U.S. market is absorbing massive investments in AI-driven systems of security and surveillance. Some companies, such as Amazon and Google, are developing image recognition technology by integrating it with cloud-based platforms aimed at real-time data processing.
  • China: In China, the government is investing heavily on AI technology to ensure public safety and implement smart cities. Hikvision and Dahua are some key firms that have adopted cutting-edge AI technologies while focusing on integrating artificial intelligence systems with advanced image recognition ones primarily designed for face recognition technologies and surveillance.
  • Germany: Germany is among the leading nations making significant strides towards advancing image recognition technology with a particular emphasis on industrial automation plus quality control. For instance, Bosch as well as Siemens have deployed artificial intelligence cameras into manufacturing processes which improve accuracy as well as efficiency.
  • India: Image Recognition technologies in India have been adopted for both security and retail purposes. Startups exploit ideas of AI-cameras to boost customer satisfaction when at the same time improving their security measures whereas the administration investigates its use for smart city schemes.
  • Japan: Integrating AI image recognition into robotics and consumer electronics is a major focus for Japan. Advanced AI cameras are being developed by companies such as Sony and Panasonic for use in robotics, autonomous vehicles, and smart home devices, which reflects an inclination toward multifunctional use.

Features of the Global Image Recognition AI Camera Market

Market Size Estimates: Image recognition AI camera market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Image recognition AI camera market size by various segments, such as by component, technology, application, end use industry, and region in terms of value ($B).

Regional Analysis: Image recognition AI camera market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different components, technologies, applications, end use industries, and regions for the image recognition AI camera market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the image recognition AI camera market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

If you are looking to expand your business in this market or adjacent markets, then contact us. We have done hundreds of strategic consulting projects in market entry, opportunity screening, due diligence, supply chain analysis, M & A, and more.

FAQ

Q.1 What is the image recognition AI camera market size?

Answer: The global image recognition AI camera market is expected to reach an estimated $2.6 billion by 2030.

Q.2 What is the growth forecast for image recognition AI camera market?

Answer: The global image recognition AI camera market is expected to grow with a CAGR of 21.4% from 2024 to 2030.

Q.3 What are the major drivers influencing the growth of the image recognition AI camera market?

Answer: The major drivers for this market are increasing use of this technology in self-driving vehicles, rising demand for AI based diagnostic imaging, and growing popularity towards industry 4.0.

Q4. What are the major segments for image recognition AI camera market?

Answer: The future of the image recognition AI camera market looks promising with opportunities in the scanning and imaging, security and surveillance, image search, and augmented reality applications.

Q5. Who are the key image recognition AI camera market companies?

Answer: Some of the key image recognition AI camera companies are as follows:

  • Apple
  • Canon
  • Hanvon Technology
  • Hewlett Packard Enterprise Development
  • Moleskine
  • NeoLab Convergence
  • Toshiba
  • Wacom
  • XCALLIBRE

Q6. Which image recognition AI camera market segment will be the largest in future?

Answer: Lucintel forecast that software is expected to witness highest growth over the forecast period due to increasing need for this component-based image processing in a variety of fields, such as computer graphics, autonomous cars, medical imaging, and picture editing.

Q7. In image recognition AI camera market, which region is expected to be the largest in next 5 years?

Answer: APAC is expected to witness highest growth over the forecast period due to presence of key players and rapid adoption of image recognition technologies in various end use industries, such as manufacturing, healthcare, and retail of the region.

Q.8 Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the image recognition AI camera market by component (hardware, software, and services), technology (barcode recognition, facial recognition, object recognition, and pattern recognition), application (scanning and imaging, security and surveillance, image search, augmented reality, and others), end use industry (BFSI, media, and entertainment), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
  • Market Report

Table of Contents

1. Executive Summary

2. Global Image Recognition AI Camera Market: Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

  • 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
  • 3.2. Global Image Recognition AI Camera Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Global Image Recognition AI Camera Market by Component
    • 3.3.1: Hardware
    • 3.3.2: Software
    • 3.3.3: Services
  • 3.4: Global Image Recognition AI Camera Market by Technology
    • 3.4.1: Barcode Recognition
    • 3.4.2: Facial Recognition
    • 3.4.3: Object Recognition
    • 3.4.4: Pattern Recognition
  • 3.5: Global Image Recognition AI Camera Market by Application
    • 3.5.1: Scanning and Imaging
    • 3.5.2: Security and Surveillance
    • 3.5.3: Image Search
    • 3.5.4: Augmented Reality
    • 3.5.5: Others
  • 3.6: Global Image Recognition AI Camera Market by End Use Industry
    • 3.6.1: BFSI
    • 3.6.2: Media
    • 3.6.3: Entertainment

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

  • 4.1: Global Image Recognition AI Camera Market by Region
  • 4.2: North American Image Recognition AI Camera Market
    • 4.2.1: North American Image Recognition AI Camera Market by Component: Hardware, Software, and Services
    • 4.2.2: North American Image Recognition AI Camera Market by Application: Scanning and Imaging, Security and Surveillance, Image Search, Augmented Reality, and Others
  • 4.3: European Image Recognition AI Camera Market
    • 4.3.1: European Image Recognition AI Camera Market by Component: Hardware, Software, and Services
    • 4.3.2: European Image Recognition AI Camera Market by Application: Scanning and Imaging, Security and Surveillance, Image Search, Augmented Reality, and Others
  • 4.4: APAC Image Recognition AI Camera Market
    • 4.4.1: APAC Image Recognition AI Camera Market by Component: Hardware, Software, and Services
    • 4.4.2: APAC Image Recognition AI Camera Market by Application: Scanning and Imaging, Security and Surveillance, Image Search, Augmented Reality, and Others
  • 4.5: ROW Image Recognition AI Camera Market
    • 4.5.1: ROW Image Recognition AI Camera Market by Component: Hardware, Software, and Services
    • 4.5.2: ROW Image Recognition AI Camera Market by Application: Scanning and Imaging, Security and Surveillance, Image Search, Augmented Reality, and Others

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for the Global Image Recognition AI Camera Market by Component
    • 6.1.2: Growth Opportunities for the Global Image Recognition AI Camera Market by Technology
    • 6.1.3: Growth Opportunities for the Global Image Recognition AI Camera Market by Application
    • 6.1.4: Growth Opportunities for the Global Image Recognition AI Camera Market by End Use Industry
    • 6.1.5: Growth Opportunities for the Global Image Recognition AI Camera Market by Region
  • 6.2: Emerging Trends in the Global Image Recognition AI Camera Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global Image Recognition AI Camera Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Image Recognition AI Camera Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: Apple
  • 7.2: Canon
  • 7.3: Hanvon Technology
  • 7.4: Hewlett Packard Enterprise Development
  • 7.5: Moleskine
  • 7.6: NeoLab Convergence
  • 7.7: Toshiba
  • 7.8: Wacom
  • 7.9: XCALLIBRE