Artificial Intelligence Ai Camera Market

Artificial Intelligence Ai Camera Market

Artificial Intelligence (AI) Camera Market Forecasts to 2028 - Global Analysis By Type (DSLR, Smartphone Camera, Surveillance Camera and Other Types), Technology (Emotion Recognition, Network Cameras and Other Technologies), End User (Logistics & Transportation, BFSI and Other End Users), and By Geography

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4.3 (63 reviews)
Published: 2023 ID: SMRC22874

This report covers the impact of COVID-19 on this global market

Years Covered


Estimated Year Value (2022)

US $8.73 BN

Projected Year Value (2028)

US $21.51 BN

CAGR (2022 - 2028)


Regions Covered

North America, Europe, Asia Pacific, South America, and Middle East & Africa

Countries Covered

US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa

Largest Market

Asia Pacific

Highest Growing Market

North America

According to Stratistics MRC, the Global Artificial Intelligence (AI) Camera Market is accounted for $8.73 billion in 2022 and is expected to reach $21.51 billion by 2028 growing at a CAGR of 16.2% during the forecast period. The field of artificial intelligence encompasses a wide range of disciplines, including machine learning, speech/voice recognition, computer vision, and image identification. The cameras that use artificial intelligence use all of these technologies. These cameras are used in many different applications, such as surveillance cameras and smartphones, where the technology senses the environment, the intensity of the light, and the white balance before creating a picture. Due to the increased use of smartphones by consumers globally, there is an increased need for high-quality photos that use artificial intelligence.

According to the World Economic Forum Organization, around 4.3 billion smartphones have been sold globally, whereas half are tablets.

Market Dynamics:


Rising adoption of AI cameras in consumer electronics

The market is expanding due to the increasing use of artificial intelligence cameras in consumer electronics products including smartphones, tablets, desktops, and laptops. Global market expansion is being fuelled by the rising sales of smartphones equipped with cutting-edge technologies. The increasing adoption of AI-based surveillance systems by numerous firms and enterprises as well as the incorporation of AI in smart devices are significant drivers of this market's expansion. The increasing demand for monitoring and surveillance at commercial retail outlets, consumer electronics, and the banking industry is another reason that has contributed to the expansion of the market trend.


Increasing privacy concerns

Lack of AI-based platforms and ignorance of AI cameras are two problems that limit the growth of the artificial intelligence camera market. Additionally, it is anticipated that growing privacy worries about safeguarding video databases against theft and hacking may impede market adoption. Organisations are prohibited from holding video footage due to the increased risk of video data being exploited in public clouds, camera recorders, and escalating data breaches. The vulnerability of AI-based video surveillance systems to hacks is greater. Artificial intelligence cameras come with risk on a number of levels, including employment, safety, and legal concerns. However, one of the biggest obstacles to the worldwide market is consumers' ignorance of advanced products.


Availability of a wide range of products and frequent product launches

Globally, the market for AI cameras is developing, offering a wide variety of AI camera products from different brands and for different uses. The items are offered to customers at competitive costs thanks to the different brands that compete in this market, which encourages market expansion. To obtain a competitive edge, firms also make significant investments in technological development and introduce new products. In Google's most recent Pixel 6 camera, for instance, automatic tools like smart blurring, object removal, skin tone exposure, etc. are now integrated into the device.


High Cost of AI Camera

The price of an AI camera includes the costs of integrating an AI platform into the camera, embedding the platform, and the services required to run an AI platform. Additionally, the price covers the skilled labour needed to build AI platforms. This is a significant obstacle to the expansion of the global AI camera market. The high price of AI cameras eventually drives up the cost of consumer goods like security systems, cellphones, and other devices, which can limit market expansion, especially in price-sensitive nations like India.

Covid-19 Impact

The electronics and semiconductor industries were severely impacted by the COVID-19 epidemic. Due to the rise in COVID-19 cases, businesses and manufacturing facilities in a number of nations, including India, China, Italy, and Japan, have been shut down. Additionally, the whole or partial lockdown in these nations impacted supply chain operations including foreign trade and transportation, posing problems for industries on a worldwide scale. The COVID-19 epidemic had a negative impact on the camera's overall production activity. The COVID-19 epidemic presents a dilemma for the digital smart camera business. Issues with the world's supply chains increased the cost of the cameras' raw materials and production.

The surveillance camera segment is expected to be the largest during the forecast period

The surveillance camera segment is estimated to have a lucrative growth. AI cameras can combine HDR photographs in favourable lighting. On the other hand, in low light, they can switch to multi-image recording and use computational imaging to produce a stepless zoom effect with two or more camera modules. The demand for these AI surveillance camera features is rising quickly since they are particularly useful in security systems.

The image/face recognition segment is expected to have the highest CAGR during the forecast period

The image/face recognition segment is anticipated to witness the highest CAGR growth during the forecast period, due to the prominence of its use in smartphones. Today's smartphones can recognise objects and people in photos while taking them. Security solutions that use image/face recognition are also helping the market expand. Additionally, governments are investing in AI in industries like healthcare, transportation, and others as a result of the integration of image/face recognition in cameras.

Region with highest share:

Asia Pacific is projected to hold the largest market share during the forecast period owing to rising investments in electronic devices using cutting-edge technology. China is the world's largest manufacturing base, generating around 36.0% of all consumer electronics, including computers, cloud servers, cell phones, and telecom infrastructures, according to the Semiconductor Association. With the rising deployment of smart AI cameras in connected devices and supportive government initiatives, India is also growing more quickly.

Region with highest CAGR:

North America is projected to have the highest CAGR over the forecast period, owing to the expansion of electronic surveillance cameras to keep an eye on public spaces and the increase of civic activists in this region, which fuels market expansion. The Foreign Intelligence Surveillance Act, which establishes requirements for authorising specific electronic surveillance activities, was also introduced by the U.S. government.

Key players in the market

Some of the key players profiled in the Artificial Intelligence (AI) Camera Market include Bosch Security Systems Inc., Hangzhou Hikvision Digital Technology Co., Ltd., Panasonic System Networks Co., Ltd., Axis Communications AB, Honeywell Security Group, Canon Inc., Zhejiang Dahua Technology Co., Ltd, FLIR Systems Inc., Vivotek Inc., Sony electronics Ltd., Hikvision, Microsoft Corporation, Google LLC, Samsung Electronics, Xiaomi Inc, Nikon Corporation, LG Electronics and Apple Inc.

Key Developments:

In August 2022, Hikvision launched an AI-based web camera. This web camera has several features such as sharp autofocus, ultra-high resolution, and built-in microphones. The company designed an AI-based camera to enhance human portray imaging and to bring more natural looks to the frame. These features added convenience, versatility, pleasure, and reassurance for virtual online video scenarios.

In July 2022, Hikvision launched advanced AI-based DeepinView bullet networking cameras with TandemVu AI technologies. Tandem Vu is an AI-based bullet camera that simultaneously monitors close-up and large scene details.

In March 2022, Microsoft Corporation launched AI-powered Smart Camera for the Surface Hub 2 for businesses. Businesses can upgrade their AI-technologies capabilities. The new camera surface hub supports features such as automatic reframing, a wide field of views, and image recognition that improves meetings.

In June 2021, Canon Inc., a China-based camera manufacturer, launched AI-based cameras with emotion recognition technology. It helps to detect emotions in the offices to ensure employees' happiness and stress.

In January 2021, Axis Communications AB launched the AI-based Dome Camera AXIS P3255-LVE, which provides analytics and deep learning-based technology. These fixed dome cameras have innovative dual chipsets and offer granular object classification.

In September 2020, Google LLC launched AI-based Google Meet Series camera hardware for video conferencing and meeting rooms. The company collaborated with Lenovo Corporation to build high-end AI-based cameras and microphones. Google LLC used AI smarts technology for building this hardware.

Types Covered:
• Smartphone Camera
• Surveillance Camera
• Other Types

Technologies Covered:
• Emotion Recognition
• Network Cameras
• Image/Face Recognition
• Security Cameras
• Computer Vision
• DSLR Cameras
• Wi-Fi Camera
• Other Technologies

End Users Covered:
• Logistics & Transportation
• Automotive
• Healthcare
• Government
• Consumer Electronics
• Retail
• Media and Entertainment
• Military and Defense
• Commercial Spaces
• Public & Private Sectors
• Education
• Other End Users

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2020, 2021, 2022, 2025, and 2028
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions

3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19

4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry

5 Global Artificial Intelligence (AI) Camera Market, By Type
5.1 Introduction
5.2 Smartphone Camera
5.3 Surveillance Camera
5.4 Other Types

6 Global Artificial Intelligence (AI) Camera Market, By Technology
6.1 Introduction
6.2 Emotion Recognition
6.3 Network Cameras
6.4 Image/Face Recognition
6.5 Security Cameras
6.6 Computer Vision
6.7 DSLR Cameras
6.8 Wi-Fi Camera
6.9 Other Technologies

7 Global Artificial Intelligence (AI) Camera Market, By End User
7.1 Introduction
7.2 Logistics & Transportation
7.3 BFSI
7.4 Automotive
7.5 Healthcare
7.6 Government
7.7 Consumer Electronics
7.7.1 CCTV Camera
7.7.2 Smartphones & Tablets
7.7.3 Digital Camera
7.8 Retail
7.9 Media and Entertainment
7.10 Military and Defense
7.11 Commercial Spaces
7.12 Public & Private Sectors
7.13 Education
7.14 Other End Users

8 Global Artificial Intelligence (AI) Camera Market, By Geography
8.1 Introduction
8.2 North America
8.2.1 US
8.2.2 Canada
8.2.3 Mexico
8.3 Europe
8.3.1 Germany
8.3.2 UK
8.3.3 Italy
8.3.4 France
8.3.5 Spain
8.3.6 Rest of Europe
8.4 Asia Pacific
8.4.1 Japan
8.4.2 China
8.4.3 India
8.4.4 Australia
8.4.5 New Zealand
8.4.6 South Korea
8.4.7 Rest of Asia Pacific
8.5 South America
8.5.1 Argentina
8.5.2 Brazil
8.5.3 Chile
8.5.4 Rest of South America
8.6 Middle East & Africa
8.6.1 Saudi Arabia
8.6.2 UAE
8.6.3 Qatar
8.6.4 South Africa
8.6.5 Rest of Middle East & Africa

9 Key Developments
9.1 Agreements, Partnerships, Collaborations and Joint Ventures
9.2 Acquisitions & Mergers
9.3 New Product Launch
9.4 Expansions
9.5 Other Key Strategies

10 Company Profiling
10.1 Bosch Security Systems Inc.
10.2 Hangzhou Hikvision Digital Technology Co., Ltd.
10.3 Panasonic System Networks Co., Ltd.
10.4 Axis Communications AB
10.5 Honeywell Security Group
10.6 Canon Inc.
10.7 Zhejiang Dahua Technology Co., Ltd
10.8 FLIR Systems Inc.
10.9 Vivotek Inc.
10.10 Sony electronics Ltd.
10.11 Hikvision
10.12 Microsoft Corporation
10.13 Google LLC
10.14 Samsung Electronics
10.15 Xiaomi Inc
10.16 Nikon Corporation
10.17 LG Electronics
10.18 Apple Inc

List of Tables
1 Global Artificial Intelligence (AI) Camera Market Outlook, By Region (2020-2028) ($MN)
2 Global Artificial Intelligence (AI) Camera Market Outlook, By Type (2020-2028) ($MN)
3 Global Artificial Intelligence (AI) Camera Market Outlook, By Smartphone Camera (2020-2028) ($MN)
4 Global Artificial Intelligence (AI) Camera Market Outlook, By Surveillance Camera (2020-2028) ($MN)
5 Global Artificial Intelligence (AI) Camera Market Outlook, By Other Types (2020-2028) ($MN)
6 Global Artificial Intelligence (AI) Camera Market Outlook, By Technology (2020-2028) ($MN)
7 Global Artificial Intelligence (AI) Camera Market Outlook, By Emotion Recognition (2020-2028) ($MN)
8 Global Artificial Intelligence (AI) Camera Market Outlook, By Network Cameras (2020-2028) ($MN)
9 Global Artificial Intelligence (AI) Camera Market Outlook, By Image/Face Recognition (2020-2028) ($MN)
10 Global Artificial Intelligence (AI) Camera Market Outlook, By Security Cameras (2020-2028) ($MN)
11 Global Artificial Intelligence (AI) Camera Market Outlook, By Computer Vision (2020-2028) ($MN)
12 Global Artificial Intelligence (AI) Camera Market Outlook, By DSLR Cameras (2020-2028) ($MN)
13 Global Artificial Intelligence (AI) Camera Market Outlook, By Wi-Fi Camera (2020-2028) ($MN)
14 Global Artificial Intelligence (AI) Camera Market Outlook, By Other Technologies (2020-2028) ($MN)
15 Global Artificial Intelligence (AI) Camera Market Outlook, By End User (2020-2028) ($MN)
16 Global Artificial Intelligence (AI) Camera Market Outlook, By Logistics & Transportation (2020-2028) ($MN)
17 Global Artificial Intelligence (AI) Camera Market Outlook, By BFSI (2020-2028) ($MN)
18 Global Artificial Intelligence (AI) Camera Market Outlook, By Automotive (2020-2028) ($MN)
19 Global Artificial Intelligence (AI) Camera Market Outlook, By Healthcare (2020-2028) ($MN)
20 Global Artificial Intelligence (AI) Camera Market Outlook, By Government (2020-2028) ($MN)
21 Global Artificial Intelligence (AI) Camera Market Outlook, By Consumer Electronics (2020-2028) ($MN)
22 Global Artificial Intelligence (AI) Camera Market Outlook, By CCTV Camera (2020-2028) ($MN)
23 Global Artificial Intelligence (AI) Camera Market Outlook, By Smartphones & Tablets (2020-2028) ($MN)
24 Global Artificial Intelligence (AI) Camera Market Outlook, By Digital Camera (2020-2028) ($MN)
25 Global Artificial Intelligence (AI) Camera Market Outlook, By Retail (2020-2028) ($MN)
26 Global Artificial Intelligence (AI) Camera Market Outlook, By Media and Entertainment (2020-2028) ($MN)
27 Global Artificial Intelligence (AI) Camera Market Outlook, By Military and Defense (2020-2028) ($MN)
28 Global Artificial Intelligence (AI) Camera Market Outlook, By Commercial Spaces (2020-2028) ($MN)
29 Global Artificial Intelligence (AI) Camera Market Outlook, By Public & Private Sectors (2020-2028) ($MN)
30 Global Artificial Intelligence (AI) Camera Market Outlook, By Education (2020-2028) ($MN)
31 Global Artificial Intelligence (AI) Camera Market Outlook, By Other End Users (2020-2028) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

List of Figures


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.

Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.

For more details about research methodology, kindly write to us at

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