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市場調查報告書

商品編碼

1627895

人工智慧 (AI) 相機市場：未來預測（2025-2030 年）

AI Camera Market - Forecasts from 2025 to 2030

出版日期: 2024年12月27日 | 出版商:

Knowledge Sourcing Intelligence | 英文 131 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

人工智慧 (AI) 相機市場預計將從 2025 年的 65.81 億美元成長到 2030 年的 341.28 億美元，預測期內的複合年成長率為 22.84%。

AI 相機是一種在主相機系統中整合人工智慧軟體的裝置。與基本攝影機相比，支援人工智慧的攝影機具有幾個主要優勢，包括提高影像品質、進行臉部和物體識別以及增強監控能力。

全球消費性電子產品需求不斷成長是預測期內推動AI相機市場擴張的主要因素之一。

2024年8月，日本家電產量與2023年8月相比成長了約104%。根據日本電子情報技術產業協會統計，2024年8月日本消費性電子產品總產量達8,922.82億日圓。

人工智慧相機市場促進因素

全球對智慧型手機的需求不斷成長，正在加速人工智慧攝影機的整合。

全球對行動裝置和智慧型手機的需求和擁有量的增加是推動人工智慧相機應用的關鍵因素之一。全球非營利行動產業協會 GSMA 表示，2022 年全球市場智慧型手機總擁有量將達到 76%，到 2030 年將達到 92%。

此外，通訊在其世界報告中指出，到2023年，行動電話總擁有量將達到78%。該協會進一步指出，在歐洲和美洲，行動電話總持有分別為93％和88％。阿拉伯國家和亞太地區的行動電話擁有率分別為82%和75%。

AI相機市場地理展望：

預測期內，北美將繼續佔據重要佔有率。

由於人工智慧技術的快速創新和智慧監控系統需求的激增，美國人工智慧（AI）攝影機市場正在迅速擴張。人工智慧和機器學習的結合極大地提高了相機的功能。如今，這包括物體檢測、臉部辨識、行為分析等。

這些發展使得資料能夠即時處理，使得人工智慧攝影機在必須快速做出決策的行業（例如安全和零售）中變得至關重要。這些攝影機可應用於許多領域，包括公共、智慧家庭、汽車系統和零售。例如，在零售業，人工智慧攝影機可以分析顧客行為，以最佳化商店佈局和行銷方法。在安全應用中，可以快速識別可能的風險，提高監控能力。

智慧家居設備需求的不斷成長和智慧城市計劃的發展進一步推動了對人工智慧攝影機的需求。這些攝影機嵌入物聯網技術，以創建互聯環境並提高自動化和能源效率。 2024 年，美國多個社區已啟動智慧城市計劃，旨在利用科技改善城市生活、永續性和連結性。

例如，西雅圖被評為 2024 年美國最聰明的城市，並且高度重視與科技相關的基礎設施和永續性。該市擁有多家人工智慧和物聯網公司，樹木覆蓋率顯著提高，並且正在開發電動車 (EV) 充電站。西雅圖的舉措重點關注如何讓科技成為日常生活的一部分，同時提供公共服務和環境成果。

隨著市場的成熟，多模態感測、進階學習演算法和增強視訊分析等創新可能會定義人工智慧攝影機的未來格局，使其成為各個領域必不可少的工具。

各個領域對先進監控解決方案的需求不斷成長，主要在美國主導 AI 攝影機市場。日益成長的安全問題促使各組織投資提供臉部辨識、物件偵測和即時分析等功能的人工智慧攝影機。這在執法和公共應用中尤其令人感興趣，因為人工智慧技術可以改善監視和回應時間。此外，人工智慧與智慧型設備和物聯網系統的互聯互通將帶來更智慧的環境，從而推動市場成長。

為什麼要購買這份報告？

深刻分析：獲得深入的市場洞察，涵蓋主要地區和新興地區，重點關注客戶群、政府政策和社會經濟因素、消費者偏好、垂直行業和其他子區隔。
競爭格局：了解全球主要企業所採用的策略策略，並了解正確策略帶來的潛在市場滲透率。
市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何影響市場的未來發展。
可行的建議：利用洞察力進行策略決策，在動態環境中開闢新的業務流和收益。
適合廣泛的用戶：對於新興企業、研究機構、顧問公司、中小企業和大型企業來說，它都是實用且具有成本效益的。

它有什麼用途？

產業與市場洞察、商業機會評估、產品需求預測、打入市場策略、地理擴張、資本支出決策、法律規範與影響、新產品開發、競爭影響

分析範圍

歷史資料與預測（2022-2030）
成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
競爭對手定位、策略與市場佔有率分析
按部門和地區（國家）分類的收益成長和預測分析
公司簡介（策略、產品、財務資訊、主要趨勢等）

AI相機市場細分為：

按用途分類：

智慧型手機和平板電腦
監視錄影機（CCTV攝影機）
數位相機
其他

依技術分類

影像和臉部辨識
語音和語音辨識
電腦視覺
其他

按地區

北美洲
美國
加拿大
墨西哥
南美洲
巴西
阿根廷
其他
歐洲
德國
法國
英國
西班牙
其他
中東和非洲
沙烏地阿拉伯
UAE
以色列
其他
亞太地區
中國
日本
印度
韓國
印尼
泰國
台灣
其他

The production of consumer electronics in Japan witnessed a growth of about 104% in August 2024 compared to August 2023. In August 2024, the total production of consumer electronics in the nation was recorded at YEN 892,282 million, as stated by the Japan Electronics and Information Technology Industries Association.

AI in camera market drivers

Growing global demand for smartphones are accelerating the integration of AI camera

The increasing demand and ownership of mobile and smartphones in the global demand is among the key factors propelling the utilization of AI cameras. The GSMA, a global non-profit organization in the mobile industry, stated that in 2022, the total smartphone ownership in the global market was 76% and will reach 92% by 2030.

Furthermore, the International Telecommunication Union, in its global report, stated that in 2023, the total mobile phone ownership was recorded at 78%. The agency further stated that in Europe and the Americas, the total mobile phone ownership was recorded at 93% and 88%, respectively. In the Arab States and Asia Pacific region, mobile phone ownership was recorded at 82% and 75%, respectively.

AI in camera market geographical outlook:

North America will continue to hold a remarkable share of the market during the forecast period.

The Artificial Intelligence (AI) Camera market in the United States is rapidly expanding owing to the rapid technological breakthroughs in AI and surging demand for intelligent surveillance systems. The capabilities of cameras have increased significantly by including AI and machine learning. These now include object detection, facial recognition, and behavior analysis.

These developments have allowed data to be processed in real-time, and thus, AI cameras have become important in any industry requiring prompt decisions, such as security and retail. These cameras are applied in many sectors, including public safety, smart homes, automotive systems, and retail settings. For instance, in retail, AI cameras analyze customer behavior to maximize store layouts and marketing techniques. In security applications, they can rapidly identify possible risks and improve surveillance capabilities.

Growing demand for smart home devices and developing smart city projects further fuel the demand for AI cameras. These cameras are embedded with IoT technologies to create connected environments, enhancing automation and energy efficiency. In 2024, some communities in the United States advanced their smart city efforts using technology for better urban living, sustainability, and connectivity.

For instance, Seattle was declared the brightest city in the United States for 2024, having a strong focus on infrastructure and sustainability related to technology. The city has several AI and IoT enterprises, has greatly increased its tree cover, and is developing electric vehicle (EV) charging stations. Seattle's initiatives focus on how to make technology an everyday component of life, with public services and environmental outcomes as well.

As the market matures, innovations such as multimodal sensing, advanced learning algorithms, and enhanced video analytics will probably define the future landscape of AI cameras, making them indispensable tools across various sectors.

The surging demand for advanced surveillance solutions in various sectors mainly dominates the U.S. AI camera market. Increasing security concerns motivate organizations to invest in AI cameras, providing features like facial recognition, object detection, and real-time analytics. This is of particular interest in law enforcement and public safety applications where AI technology provides improved monitoring and response time. Moreover, the interconnection of AI with smart devices and the IoT system enables the emergence of smarter environments, enhancing market growth.

Reasons for buying this report:-

Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

Historical data & forecasts from 2022 to 2030
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

AI camera market is analyzed into the following segments:

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
UK
Spain
Others
Middle East and Africa
Saudi Arabia
UAE
Israel
Others
Asia Pacific
China
Japan
India
South Korea
Indonesia
Thailand
Taiwan
Others

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
1.8. Key Benefits for the Stakeholders

2. RESEARCH METHODOLOGY

2.1. Research Design
2.2. Research Process
2.3. Data Validation

3. EXECUTIVE SUMMARY

3.1. Key Findings
3.2. Analyst View

4. MARKET DYNAMICS

4.1. Market Drivers
4.2. Market Restraints
4.3. Porter's Five Forces Analysis
- 4.3.1. Bargaining Power of Supplier
- 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. ARTIFICIAL INTELLIGENCE (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. ARTIFICIAL INTELLIGENCE (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. ARTIFICIAL INTELLIGENCE (AI) CAMERA MARKET BY GEOGRAPHY

7.1. Introduction
7.2. North America
- 7.2.1. By Application
- 7.2.2. By Technology
- 7.2.3. By Country
  - 7.2.3.1. USA
  - 7.2.3.2. Canada
  - 7.2.3.3. Mexico
7.3. South America
- 7.3.1. By Application
- 7.3.2. By Technology
- 7.3.3. By Country
  - 7.3.3.1. Brazil
  - 7.3.3.2. Argentina
  - 7.3.3.3. Others
7.4. Europe
- 7.4.1. By Application
- 7.4.2. By Technology
- 7.4.3. By Country
  - 7.4.3.1. United Kingdom
  - 7.4.3.2. Germany
  - 7.4.3.3. France
  - 7.4.3.4. Spain
  - 7.4.3.5. Others
7.5. Middle East and Africa
- 7.5.1. By Application
- 7.5.2. By Technology
- 7.5.3. By Country
  - 7.5.3.1. Saudi Arabia
  - 7.5.3.2. UAE
  - 7.5.3.3. Others
7.6. Asia Pacific
- 7.6.1. By Application
- 7.6.2. By Technology
- 7.6.3. By Country
  - 7.6.3.1. Japan
  - 7.6.3.2. China
  - 7.6.3.3. India
  - 7.6.3.4. South Korea
  - 7.6.3.5. Indonesia
  - 7.6.3.6. Thailand
  - 7.6.3.7. Taiwan
  - 7.6.3.8. Others