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市場調查報告書
商品編碼
1356602

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

預計到2030年，全球影像識別AI 相機市場將達到 25.9 億美元，2024年至2030年年複合成長率為 21.4%。該市場的主要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影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有機會。

影像識別AI相機市場洞察

Lucintel 預測，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，軟體在預測期內將實現最高成長。

由於商業、工業和政府等各部門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，安全和監控將繼續成為最大的細分市場。

由於關鍵參與者的存在以及影像識別技術在該地區製造、醫療保健和零售等各種最終用途行業的快速採用，預計亞太地區將在預測期內實現最高成長。

本報告回答了 11 個關鍵問題：

  • Q.1.細分市場中最有前途和高成長的機會為何？
  • Q.2.哪個細分市場將以更快的速度成長？理由為何？
  • Q.3.哪些地區未來會出現更快的成長？理由為何？
  • Q.4.影響市場動態的主要因素有哪些？市場的主要挑戰和商業風險是什麼？
  • Q.5.這個市場的商業風險和競爭威脅為何？
  • Q.6.這個市場有哪些新趨勢？理由為何？
  • Q.7.市場客戶需求有何改變？
  • Q.8.該市場有哪些新發展以及哪些公司處於領先地位？
  • Q.9.這個市場的主要企業有哪些？主要企業採取哪些策略配合措施來發展業務？
  • Q.10.該市場上的競爭產品有哪些，由於材料或產品替代導致市場佔有率下降的威脅有多大？
  • Q.11.過去年度發生了哪些併購事件，對產業產生了哪些影響？

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）
  • 全球影像識別AI相機市場（按組成部分）
    • 硬體
    • 軟體
    • 服務
  • 依技術分類的全球影像識別人工智慧相機市場
    • 條碼識別
    • 臉部辨識
    • 物體辨識
    • 模式識別
  • 全球影像識別人工智慧相機市場依應用
    • 掃描和成像
    • 安全和監視
    • 影像搜尋
    • 擴增實境
    • 其他
  • 全球影像識別人工智慧相機市場（依最終用途產業）
    • BFSI
    • 媒體
    • 娛樂

第4章 2018-2030年分地區市場趨勢及預測分析

  • 全球影像識別AI相機市場區域分佈
  • 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
  • 其他區域影像識別AI相機市場

第5章 競爭分析

  • 產品系列分析
  • 營運整合
  • 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（依組件）
    • 全球影像識別人工智慧相機市場成長機會（依技術）
    • 全球影像識別人工智慧相機市場成長機會（依應用）
    • 全球影像識別人工智慧相機市場成長機會（依最終用途產業）
    • 全球影像識別人工智慧相機市場成長機會（依地區）
  • 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 $2.59 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 growng popularity towards industry 4.0.

A more than 150-page report is developed to help in your business decisions.

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 [Shipment Analysis by Value from 2018 to 2030]:

  • Hardware
  • Software
  • Services

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

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

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

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

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

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

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 Market Insights

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 ofkey players and rapid adoption of image recognition technologies in various end use industries, such as manufacturing, healthcare, and retail of the region.

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 region.s 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.

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 $2.59 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 growng popularity towards industry 4.0.

Q.4. 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.

Q.5. 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

Q.6. 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.

Q.7. 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 ofkey 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?

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