Key Highlights
• For scene and picture identification in smartphones and cameras, artificial intelligence camera software is employed. An AI-based camera covers the price of the AI built into the cameras' AI platforms and the services necessary to maintain those platforms. Concerns about public security and safety are driving up demand for technically sophisticated surveillance systems, which in turn is driving up demand for these highly advanced cameras. Additionally, the proliferation of AI CCTV cameras with government agencies at traffic lights for detecting & recognizing license plates on moving and stationary cars promotes market expansion. Opportunities for market expansion are being driven by the increasing adoption of AI-capable cameras in connected devices and smartphones.
• The market size of the worldwide AI Based Cameras Industry surpassed USD XX billion in 2022, and by 2032, it is projected to reach USD XX billion, boosting at a CAGR of XX%.
• In May 2020, a cutting-edge line of AI-powered cameras and intelligent vision sensors were introduced by Sony Corporation. The Sony original Digital Signal Processor (DSP) is mounted on the logic chip of this AI sensor, which employs a stack of configurations made up of pixel and logic chips. This made it possible for AI to process image sensors, the edge-most device and the source of picture data.
• The market is expanding due to the use of AI-powered cameras in consumer electronics such as smartphones, tablets, desktops and laptops. The market is expanding with the use of smart cameras in smartphones and tablets. Increasing sales of smartphones with modern technology ensures the expansion of the global market. The World Business Forum estimates that around 4.3 billion smartphones and 4.3 billion tablets have been sold worldwide. The greater adoption of AI-based analytics systems by many companies and industries and the integration of AI into smart devices are key drivers for the expansion of the store here. In addition, organizations, mobile phone manufacturers and consumers around the world are now incorporating AI technology into their systems. Increasing demand for care and attention in the retail, consumer electronics and financial markets is another factor driving business growth. China has many stores, consumer electronics and security camera companies around the world. About 40% of the world's smart cameras are made in China.
Scope of the Industry Profile
Key Players
• Google Inc (US)
• Intel Corporation (US)
• Koninklijke Philips N.V. (Netherlands)
• General Electric (US)
• IBM Corporation (US)
• Microsoft Corporation (US)
• Honeywell International Inc. (US)
• Hangzhou Hikvision Digital Technology Co. Ltd. (China)
• SAMSUNG (South Korea)
• Lenovo (Hong Kong)
Segmentation
By Function
• Footfall Analytics
• Traffic Monitoring
• Number Plate Recognition
• Facial Recognition
• Others
By Technology
• Computer Vision
• Machine Learning
• Context Awareness
• Others
By Application
• Healthcare
• Automotive
• BFSI
• Telecom & Consumer Electronics
• Others
What to Expect from Industry Profile
1. Save time carrying out entry-level research by identifying the size, growth, major segments, and leading players in the AI Based Cameras market in the world.
2. Use the PORTER’s Five Forces analysis to determine the competitive intensity and therefore market attractiveness of the Global AI Based Cameras market.
3. Leading company profiles reveal details of key AI Based Cameras market players’ global operations, strategies, financial performance & their recent developments.
4. Add weight to presentations and pitches by understanding the future growth prospects of the Global AI Based Cameras market with forecast for decade by both market share (%) & revenue (USD Million).
Recent Development
• In May 2022 a Full HD 1080p Smart Security Camera from Tenda was released with AI-based advanced technologies and tilt and pan capabilities. It has a three-year warranty and a full duplex with two-way audio communications.
• In October 2020, advanced deep-learning and AI-based Mk III AXIS Q1615 network cameras were introduced by Axis Communications Inc. This camera can capture picture recognition tasks thanks to an AI accelerator and deep learning technology-based capabilities.
• In May 2020, a cutting-edge line of AI-powered cameras and intelligent vision sensors were introduced by Sony Corporation. The Sony original Digital Signal Processor (DSP) is mounted on the logic chip of this AI sensor, which employs a stack of configurations made up of pixel and logic chips. This made it possible for AI to process image sensors, the edge-most device and the source of picture data.
Segment Insights
By Function
The market share leader is the sector for traffic monitoring cameras. In areas with good illumination, AI cameras can blend HDR images. The ability to switch to multi-image recording and apply computational imaging to create a step less zoom effect with two or more camera modules, on the other hand, is available in low-light situations. The popularity of these AI surveillance cameras is rising quickly since they are particularly useful in security systems.
By Application
Artificial intelligence (AI) technologies are being included into consumer electronics by manufacturers to recognize photos. Using this technique, the phone recognizes the object and applies a correction filter for a higher-quality image. Low-resolution photographs can also be explained by the use of AI cameras in smartphones because the AI-vision engine anticipates missing pixels. High-quality full-display images are now possible. Additionally, AI cameras are used for device administration, user authentication, and emotion recognition. With these benefits, the demand for AI cameras in smartphone manufacturing is rapidly rising, driving the sector forward.
Regional Insights
The Asia Pacific region is expected to lead the global market due to increased investment in electronic products using modern technology. According to the Semiconductor Association, China is the world's largest producer, producing about 36.0 percent of consumer electronics, including computers, cloud servers, mobile phones and electric phones. Also, the population of the Asia-Pacific region is second only to the United States, which ranks second in the world. Development in India is boosted by the rise of smart AI cameras on connected devices and backed by government authorities. Launched by the Indian government in 2019, the National E-Policy aims to generate $400 billion in revenue by 2025. The goal is to export more than 600 million devices by 2025, with $190 billion worth of smartphones produced and $110 billion. India's high energy consumption in India is also expected to increase in 2019. North America is expected to grow at an average CAGR over the forecast period. This is due to the increasing use of electronic surveillance cameras to monitor public places in the area, leading to the expansion of the industry.
1 INTRODUCTION
1.1 Study Objectives
1.2 Market Definitions
1.2.1 Inclusions & Exclusions
1.2.2 Region: Inclusions & Exclusions
1.2.3 Study Scope
1.2.3.1 Markets Covered
1.2.3.2 Regional Scope
1.2.3.3 Years Considered
1.2.4 Currency Considered
1.2.5 Limitations
1.2.6 Summary Of Report (Chapter Wise Summary)
2 RESEARCH METHODOLOGY
2.1 Research Data
2.1.1 Secondary & Primary Research
2.1.2 Secondary Data
2.1.2.1 Secondary Sources
2.1.3 Primary Data
2.1.3.1 Primary Sources
2.2 Market Breakdown & Data Triangulation
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.2 Top-Down Approach
2.4 Research Assumptions & Limitations
2.4.1 Assumptions
2.4.2 Limitations
3 EXECUTIVE SUMMARY
4 ACROSS THE GLOBE
4.1 Upcoming Attractive Market Opportunities
4.2 Country Wise Market Growth
4.3 Segment Wise Market Growth
5 MARKET OVERVIEW
5.1 Market Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.2 Restraints
5.2.3 Opportunities
5.2.4 Challenges
5.3 PORTOR’S Five Forces Analysis
5.3.1 Threat of New Entrants
5.3.2 Threat of Substitutes
5.3.3 Bargaining Power of Suppliers
5.3.4 Bargaining Power of Buyers
5.3.5 Intensity of Competitive Rivalry
5.4 Market Premium insights (Enterprise license)
5.4.1 Case Study Analysis
5.4.2 Country Wise Import & Export Data (If
Applicable)
5.4.3 Regulatory Bodies & Authorization
Across the Globe
5.4.4 Key Conferences & Events: 2022 &
2023
5.4.5 Top Patents for The Market: 2022
6 AI BASED CAMERAS MARKET OVERVIEW,
BY FUNCTION
6.1 Global Market Revenue & Share Analysis, By Function
6.1.1 Footfall Analytics
6.1.2 Traffic Monitoring
6.1.3 Number Plate Recognition
6.1.4 Facial Recognition
6.1.5 Others
6.2 Global Market Revenue & Share Analysis, 2018 – 2022
6.3 Global Market Revenue & Share Forecast Analysis, 2023 –
2032
6.4 Key Takeaways
7 AI BASED CAMERAS MARKET OVERVIEW,
BY TECHNOLOGY
7.1 Global Market Revenue & Share Analysis, By Technology
7.1.1 Computer Vision
7.1.2 Machine Learning
7.1.3 Context Awareness
7.1.4 Others
7.2 Global Market Revenue & Share Analysis, 2018 – 2022
7.3 Global Market Revenue & Share Forecast Analysis, 2023 –
2032
7.4 Key Takeaways
8 AI BASED CAMERAS MARKET OVERVIEW,
BY APPLICATION
8.1 Global Market Revenue & Share Analysis, By Application
8.1.1 Healthcare
8.1.2 Automotive
8.1.3 BFSI
8.1.4 Telecom & Consumer Electronics
8.1.5 Others
8.2 Global Market Revenue & Share Analysis, 2018 – 2022
8.3 Global Market Revenue & Share Forecast Analysis, 2023 –
2032
8.4 Key Takeaways
9 AI BASED CAMERAS
MARKET OVERVIEW, BY REGION
9.1 Global Market Revenue & Share Analysis, By Region
9.1.1 North America
9.1.2 Europe
9.1.3 Asia Pacific
9.1.4 Middle East & Africa
9.1.5 South America
9.2 Global Market Revenue & Share Analysis, 2018 – 2022
9.3 Global Market Revenue & Share Forecast Analysis, 2023 –
2032
9.4 Key Takeaways
10 NORTH AMERICA MARKET
ANALYSIS
10.1 North America Market Revenue & Share Analysis, By Function
10.2 North America Market Revenue & Share Analysis, By
Technology
10.3 North America Market Revenue & Share Analysis, By
Application
10.4 North America Market Revenue & Share Analysis, By Country
10.4.1 US
10.4.2 Canada
10.4.3 Mexico
10.5 Key Takeaways
11 EUROPE MARKET ANALYSIS
11.1 Europe Market Revenue & Share Analysis, By Function
11.2 Europe Market Revenue & Share Analysis, By Technology
11.3 Europe Market Revenue & Share Analysis, By Application
11.4 Europe Market Revenue & Share Analysis, By Country
11.4.1 UK
11.4.2 Italy
11.4.3 Spain
11.4.4 Germany
11.4.5 France
11.4.6 Rest of Europe
11.5 Key Takeaways
12 ASIA PACIFIC MARKET ANALYSIS
12.1 APAC Market Revenue & Share Analysis, By Function
12.2 APAC Market Revenue & Share Analysis, By Technology
12.3 APAC Market Revenue & Share Analysis, By Application
12.4 APAC Market Revenue & Share Analysis, By Country
12.4.1 China
12.4.2 Japan
12.4.3 India
12.4.4 South Korea
12.4.5 Rest of APAC
12.5 Key Takeaways
13 MIDDLE EAST & AFRICA MARKET
ANALYSIS
13.1 MEA Market Revenue & Share Analysis, By Function
13.2 MEA Market Revenue & Share Analysis, By Technology
13.3 MEA Market Revenue & Share Analysis, By Application
13.4 MEA Market Revenue & Share Analysis, By Country
13.4.1 GCC
13.4.2 South Africa
13.4.3 Rest of MEA
13.5 Key Takeaways
14 SOUTH AMERICA MARKET ANALYSIS
14.1 SA Market Revenue & Share Analysis, By Function
14.2 SA Market Revenue & Share Analysis, By Technology
14.3 SA Market Revenue & Share Analysis, By Application
14.4 SA Market Revenue & Share Analysis, By Country
14.4.1 Brazil
14.4.2 Argentina
14.4.3 Rest of SA
14.5 Key Takeaways
15 COMPETITIVE SCENARIO
15.1 Overview
15.2 Key Players Market Share Analysis
15.3 Recent Developments & Application Launches
15.4 Mergers & Acquisitions
15.5 Partnerships, Agreements & Collaborations
16 COMPANY PROFILES
16.1 Overview
16.2 Key players
16.2.1 Google Inc (US)
16.2.1.1 Business Overview
16.2.1.2 Applications Offered
16.2.1.3 Financial Insights
16.2.1.4 Strategic Developments
16.2.1.4.1 New Application Launches
16.2.1.4.2 Agreements & Collaborations
16.2.1.5 Business Aspects (NOISE Analysis)
16.2.1.5.1 Key Strengths
16.2.1.5.2 Opportunities
16.2.1.5.3 Weaknesses & Competitive Threats
16.2.1.5.4 Needs & Improvements
16.2.2 Intel Corporation (US)
16.2.3 Koninklijke Philips N.V. (Netherlands)
16.2.4 General Electric (US)
16.2.5 IBM Corporation (US)
16.2.6 Microsoft Corporation (US)
16.2.7 Honeywell International Inc. (US)
16.2.8 Hangzhou Hikvision Digital Technology Co.
Ltd. (China)
16.2.9 SAMSUNG (South Korea)
16.2.10 Lenovo (Hong Kong)
17 DISCLAIMER
18 APPENDIX
