AI Camera Market Size, Share, Opportunities, And Trends By End User (Smartphones And Tablets, CCTV Camera, Digital Camera, Others), By Technology (Image And Face Recognition, Voice And Speech Recognition, Computer Vision, Others), And By Geography - Forecasts From 2023 To 2028

  • Published : May 2023
  • Report Code : KSI061615198
  • Pages : 140

An AI-powered camera refers to a camera that leverages the capabilities of artificial intelligence (AI) technology to improve and expand its features and performance. Unlike traditional cameras, which simply capture and store images or video, AI cameras are designed to analyze data in real time, allowing them to perform a variety of advanced functions. AI cameras are used in a variety of 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.

The AI camera market is driven by an increasing need for surveillance cameras with improved quality in smartphones and progress and rising investments, funding as well as other ventures by key companies in the market.

  • 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 surveillance capabilities from their smartphones, AI cameras are becoming increasingly important in delivering features like facial recognition, object detection, and real-time video analytics.
  • Rising investments, funding as well as other ventures by key companies in the market- Investment and funding secured by key companies in the AI camera market is a driver because it allows companies to further develop and improve their products, expand their customer base, and increase 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 that specializes 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 along with a video camera that leverages computer vision software to automatically select highlights of games. 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 the sport of soccer.

Key developments.

  • In April 2023, Sightlogix unveiled its latest product, the Sighttracker PTZ, an intelligent camera equipped 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 in conjunction 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.

North America accounted for a significant share of the global AI camera market.

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

The Middle East and Africa (MEA) AI camera market is expected to witness significant growth during the forecast period. The region has been experiencing rapid growth in the adoption of 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 is also contributing to the growth of the AI camera market in the region.

Key Market Segments

  • By End User
    • 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

Frequently Asked Questions (FAQs)

2021 has been taken as the base year in the AI camera market.
Prominent key market players in the AI camera market include Honeywell International Inc., Dahua Technology USA Inc., Samsung, e-con Systems, and Google LLC, among others.
The AI camera market has been segmented by end-user, technology, and geography.
The growing demand for smartphones with improved surveillance cameras is a key driver for the AI camera market.
North America accounted for a significant share of the global AI camera market.


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


2.1. Research Data

2.2. Assumptions


3.1. Research Highlights


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


5.1. Introduction

5.2. Smartphones and Tablets

5.3. CCTV Camera

5.4. Digital Camera

5.5. Others


6.1. Introduction

6.2. Image and Face recognition

6.3. Voice and Speech recognition

6.4. Computer Vision 

6.5. Others


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


8.1. Major Players and Strategy Analysis

8.2. Emerging Players and Market Lucrativeness

8.3. Mergers, Acquisitions, Agreements, and Collaborations

8.4. Vendor Competitiveness Matrix


9.1. 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

Honeywell International Inc.

Dahua Technology USA Inc.


e-con Systems

Google LLC

Spot AI, Inc

Huawei Device Co., Ltd.

Ubiquiti Inc.

Axis Communications AB


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