AI Image Recognition Market Research Report Analysis by Type (Hardware, Software, Services) Industry Vertical (Healthcare, Retail, Automotive, Security and Surveillance, Manufacturing, E-commerce, Entertainment, BFSI) Application (Facial Recognition, Object Recognition, Pattern Recognition, Scene Recognition) Technology (Traditional Image Recognition, Deep Learning) and Region, Global Trends and forecast from 2024 to 2030
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AI Image Recognition Market Outlook (2024 to 2030)
AI Image Recognition Market is estimated to be worth US$ 2.35 Billion in 2023 and is forecast to reach a value of US$ 4.56 Billion by 2030, with a projected CAGR of 11.56% from 2024 to 2030. The AI Image Recognition Market is experiencing significant growth, propelled by the widespread adoption of artificial intelligence across diverse industries. This technology employs sophisticated algorithms to analyze and interpret visual data, allowing for automated identification and classification of objects in images or videos. Its applications span various sectors, including healthcare, retail, automotive, and security. The increasing need for automation and the incorporation of AI into business operations contribute to the market’s expansion. Companies are utilizing AI image recognition for tasks like facial recognition, object detection, and image analysis, leading to improved operational efficiency and decision-making. The proliferation of smart devices and the internet of things (IoT) further amplifies the demand for AI image recognition.
Market leaders are actively investing in research and development initiatives to enhance the capabilities of AI image recognition systems, making them more accurate and adaptable. The competitive landscape is characterized by collaborations, partnerships, and strategic acquisitions as companies aim to strengthen their position in the market.
Segment Analysis
Healthcare is expected to Experience Major Growth
The use of AI image recognition technology within the health sector is expanding across the globe, due to the wide variety of applications that utilize artificial intelligence technology for image recognition for CT scans, X-rays magnetic resonance imaging. In addition, from enhanced security and identification of patients to improved monitoring of patients as well as diagnosis AI imaging technology can enhance the experience of patients and reduced the amount of work for healthcare professionals. In addition, AI image recognition models aid in diagnosing various diseases. The models are able to be trained and then deployed to scan images taken from MRI as well as X-ray devices as well as other visual outputs in order to identify or locate and identify medical anomalies that the model is taught to detect. For instance, it could determine the exact number and location of tumors within the image, helping focus the attention of a physician to cancerous or malignant parts.
Additionally, AI image recognition models can help identify similar conditions that are closely related to the results of an examination. MRI or X-ray scans have been being used to give medical professionals accurate images for various illnesses and injuries, including broken bones, cancer and many more. Image similarity search is a way to aid in this process by retrieving similar images. This will aid doctors with the right diagnosis by providing the X-ray or MRI images that have similar physical appearance as the patients concerned. Furthermore, check-in and out procedures are crucial to the health system.
AI imaging technology could enable them to be more accessible and speedier, while also reducing the amount of work for hospital personnel. In 2026, the worth of the annual potential advantages of using robotic surgery in hospitals across the world was predicted to be about $ 40 billion. In addition, it was predicted that the annual benefit of using virtual nurse assistant AI applications could be $20 billion. When patients arrive at the facility the system that recognizes faces examines their faces and compares through the hospital’s database. The identity of the patient is confirmed immediately without the need for paperwork or other identification documents.
Trends
Progress in Deep Learning: Ongoing advancements in deep learning algorithms, particularly convolutional neural networks (CNNs), are anticipated to improve the precision and efficiency of systems for recognizing images.
Integration with Diverse Technologies: The fusion of AI image recognition with emerging technologies like augmented reality (AR) and virtual reality (VR) is poised to open up novel applications across various industries.
Edge Computing for Improved Image Recognition: The increasing adoption of edge computing in tandem with AI image recognition is likely to see growth. This trend could result in quicker processing times and reduced reliance on centralized cloud systems.
Tailored Applications for Specific Industries: A rising uptake of AI image recognition is expected in industry-specific domains such as healthcare (for medical image analysis), retail (in automated checkout processes), and automotive (for perception systems in autonomous vehicles).
Augmented Security Measures: The utilization of AI image recognition for security and surveillance purposes is projected to expand, featuring enhanced capabilities in facial recognition and anomaly detection.
Growth Drivers
Factors Driving Growth in the AI Image Recognition Market in 2024:
- The continuous improvement of deep learning algorithms, particularly convolutional neural networks (CNNs), is poised to propel the expansion of the AI image recognition market. This progression aims to enhance the accuracy and efficiency of image analysis systems.
- Anticipated market growth is linked to the integration of AI image recognition with cutting-edge technologies such as augmented reality (AR) and virtual reality (VR). This integration is expected to unlock new possibilities for applications across diverse industries.
- The increasing adoption of edge computing in conjunction with AI image recognition is projected to play a significant role in driving market growth. This collaborative approach is likely to result in faster processing times and decreased reliance on centralized cloud systems.
- The market is expected to gain momentum with the growing adoption of AI image recognition in applications tailored to specific industries. Key sectors driving this growth include healthcare (for medical image analysis), retail (for automated checkout processes), and automotive (for perception systems in autonomous vehicles).
- A major growth driver for the market is the expanded use of AI image recognition for security and surveillance purposes. Improved capabilities in facial recognition and anomaly detection are foreseen to propel market growth in this specialized domain.
Restraints
- In 2024, while the AI image recognition market is expected to witness substantial growth, several factors may act as restraints, influencing the trajectory of the industry.
- One significant challenge lies in the potential ethical and privacy concerns associated with the extensive use of image recognition technologies.
- As these systems become more sophisticated, issues related to data privacy, consent, and security may arise, leading to increased scrutiny and regulatory measures. Moreover, the market could face hurdles in terms of the high implementation costs and the need for substantial computing power for efficient image processing.
- These cost barriers might limit the accessibility of advanced AI image recognition solutions for smaller enterprises. Additionally, challenges related to the interpretability of complex deep learning models may persist, making it challenging to gain trust and understanding among end-users and regulatory authorities.
- Despite the promising growth, addressing these restraints will be crucial for fostering a sustainable and responsible AI image recognition market in 2024.
Key Companies in the AI Image Recognition Market include
- Amazon Web Services (AWS)
- Google LLC
- Microsoft Corporation
- IBM Corporation
- NVIDIA Corporation
- Intel Corporation
- Qualcomm Technologies, Inc.
- Huawei Technologies Co., Ltd.
- Samsung Electronics Co., Ltd.
- Baidu, Inc.
- Clarifai, Inc.
- SenseTime Group Limited
- Megvii Technology Limited
- iFlytek Co., Ltd.
- Turing Video Inc.
- Blippar
- Scandit AG
- Cognex Corporation
- Catchoom Technologies S.L.
- Deepomatic
New Developments
Oct 31, 2023- IBM Unleashes the Potential of Data and AI with its Next-Generation IBM Storage Scale System 6000 IBM introduced the new IBM Storage Scale System 6000, a cloud-scale global data platform designed to meet today’s data intensive and AI workload demands, and the latest offering in the IBM Storage for Data and AI portfolio
September 2022- The International Society of Ultrasound in Obstetrics and Gynecology (ISUOG) World Congress 2022 was to take place in London, United Kingdom, from September 16 to September 18, and Samsung Medison, a leading manufacturer of medical equipment and a subsidiary of Samsung Electronics, was to attend the function to demonstrate its high-end HERA W10 obstetric and gynecological ultrasound equipment. The HERA W10 system has Intelligent Assist (AI diagnostic solutions), V8, and V7. These two top-of-the-line ultrasound systems can be employed with premium AI diagnostic solutions in various medical specialties.
September 2022– Alcatraz AI, a Bulgarian startup, has raised a USD 25M Series A round for their security solution that uses 3D facial authentication and AI to manage physical access. The founding of this Series A included the financing directed at SeedBlink. The company would concentrate on international growth and product innovation because businesses continue to update their access control systems.
AI Image Recognition Market Regional Outlook
Asia-Pacific is predicted to become one of the Fastest Growing Market Implementing AI image recognition technologies in the end-user sectors like manufacturing retail, healthcare, and e-commerce in countries like China, India, Japan and many others could be the reason for the growth in market share in the Asian-Pacific region. The development of advanced technology in this field has increased over the last few years. The capacity of computing systems has grown along with the processing of data, storage and accessibility. According to a study by CSET, the Center for Security and Emerging Technologies (CSET), India is poised to be a major participant and a key participant for the AI ecosystem. According to research conducted by an US think group that India’s AI strategy is on the correct path. Six more Indian tech startups were added to this year’s Unicorn Club. India has only produced 7 unicorns by 2020, and six in the year 2019. The experts believe that in 2025 India could have upwards of 150 unicorns. In addition, the government as well as organizations are investing in creation and research of AI technology for governance. The Chinese government has announced the creation of the Next Generation Artificial Intelligence Development Plan that promises policies support central coordination and investment of over 150 billion dollars by 2030.
North America is expected to remain a major participant within the AI Image Recognition market, due to significant investment into AI technologies, a robust research and development as well as a high rate of technological acceptance. The region will likely experience the widespread adoption in the field of AI Image Recognition across different sectors, such as retail, healthcare as well as security. Latin America may witness a gradual increase in the use of AI technology for image recognition and industries like healthcare and agriculture examining their potential uses. Collaborations between governments and technology companies could aid in the expansion of this area.
Europe is predicted to see constant growth on market for AI Image Recognition market, with a particular focus on applications in areas such as automotive, manufacturing and security. Regulations that address the privacy of data and ethics in AI practices could influence the dynamics of this market. In the Middle East and Africa may be witnessing a gradual increase in the use of AI image recognition, which is mainly due to increased investment in smart city initiatives as well as security applications. The pace of growth could be influenced by economic trends and government initiatives that promote technological advances.
Segments Covered in the AI Image Recognition Market Report
AI Image Recognition Market by Type, 2023-2030
- Hardware
- Software
- Services
AI Image Recognition Market by Industry Vertical, 2023-2030
- Healthcare
- Retail
- Automotive
- Security and Surveillance
- Manufacturing
- E-commerce
- Entertainment
- BFSI
AI Image Recognition Market by Technology, 2023-2030
- Traditional Image Recognition
- Deep Learning
AI Image Recognition Market by Application, 2023-2030
- Facial Recognition
- Object Recognition
- Pattern Recognition
- Scene Recognition
Frequently Asked Questions with Answers
What Is the Worth of Global AI Image Recognition Market?
AI Image Recognition Market is estimated to be worth US$ 2.35 Billion in 2023 and is forecast to reach a value of US$ 4.56 Billion by 2030, with a projected CAGR of 11.56% from 2024 to 2030.
What Are Some of the Market’s Driving Forces?
Some of the market’s driving forces include: Advancements in Deep Learning, Integration with Emerging Technologies, Rising Demand for Automation, Industry-Specific Applications, Surge in Big Data and IoT.
Which Are the Top Companies Hold the Market Share in AI Image Recognition Market?
The report profiles key players such as Avigilon Corporation, BCD Video, Bosch GmbH, Dahua Technology Co and Axis Communications AB.
Which Is the Largest Regional Market for AI Image Recognition Market?
Asia Pacific is anticipated to be the largest market in the coming years.
Table of Content
- Introduction
- Market Definition
- Market Segmentation
- Research Timelines
- Assumptions And Limitations
- Research Methodology
- Data Mining
- Secondary Research
- Primary Research
- Subject-Matter Experts’ Advice
- Quality Checks
- Final Review
- Data Triangulation
- Bottom-Up Approach
- Top-Down Approach
- Research Flow
- Data Sources
- Data Mining
- Executive Summary
- Market Overview
- Ai Image Recognition Market Outlook
- Market Drivers
- Market Restraints
- Market Opportunities
- Impact Of Covid-19 On Ai Image Recognition Market
- Porter’s Five Forces Model
- Threat From New Entrants
- Threat From Substitutes
- Bargaining Power Of Suppliers
- Bargaining Power Of Customers
- Degree Of Competition
- Industry Value Chain Analysis
- Ai Image Recognition Market Outlook
- Global Ai Image Recognition Market By Technology, 2023-2030, (USD Billion)
- Traditional Image Recognition
- Deep Learning
- Global Ai Image Recognition Market By Type, 2023-2030, (USD Billion)
- Hardware
- Software
- Services
- Global Ai Image Recognition Market By Industry Vertical, 2023-2030, (USD Billion)
- Healthcare
- Retail
- Automotive
- Security And Surveillance
- Manufacturing
- E-Commerce,
- Entertainment
- Bfsi
- Global Ai Image Recognition Market By Application, 2023-2030, (USD Billion)
- Facial Recognition
- Object Recognition
- Pattern Recognition
- Scene Recognition
- Global Ai Image Recognition Market By Region, 2023-2030, (USD Billion)
- North America
- Us
- Canada
- Mexico
- South America
- Brazil
- Argentina
- Colombia
- Rest Of South America
- Europe
- Germany
- Uk
- France
- Italy
- Spain
- Russia
- Rest Of Europe
- Asia Pacific
- India
- China
- Japan
- South Korea
- Australia
- South-East Asia
- Rest Of Asia Pacific
- Middle East And Africa
- Uae
- Saudi Arabia
- South Africa
- Rest Of Middle East And Africa
- North America
10.Company Profiles
- Amazon Web Services (Aws)
- Google Llc
- Microsoft Corporation
- Ibm Corporation
- Nvidia Corporation
- Intel Corporation
- Qualcomm Technologies, Inc.
- Huawei Technologies Co., Ltd.
- Samsung Electronics Co., Ltd.
- Baidu, Inc.
- Clarifai, Inc.
- Sensetime Group Limited
- Megvii Technology Limited
- Iflytek Co., Ltd.
- Turing Video Inc.
- Blippar
- Scandit Ag
- Cognex Corporation
- Catchoom Technologies S.L.
- Deepomatic
List of Tables
Table 1 Global Ai Image Recognition Market By Type (USD Billion) 2023-2030
Table 2 Global Ai Image Recognition Market By Application (USD Billion) 2023-2030
Table 3 Global Ai Image Recognition Market By Industry Vertical (USD Billion) 2023-2030
Table 4 Global Ai Image Recognition Market By Technology (USD Billion) 2023-2030
Table 5 Global Ai Image Recognition Market By Region (USD Billion) 2023-2030
Table 6 North America Market By Country (USD Billion) 2023-2030
Table 7 North America Market By Type (USD Billion) 2023-2030
Table 8 North America Market By Application (USD Billion) 2023-2030
Table 9 North America Market By Industry Vertical (USD Billion) 2023-2030
Table 10 North America Market By Technology (USD Billion) 2023-2030
Table 11 Us Market By Type (USD Billion) 2023-2030
Table 12 Us Market By Application (USD Billion) 2023-2030
Table 13 Us Market By Industry Vertical (USD Billion) 2023-2030
Table 14 Us Market By Technology (USD Billion) 2023-2030
Table 15 Canada Market By Type (USD Billion) 2023-2030
Table 16 Canada arket By Application (USD Billion) 2023-2030
Table 17 Canada Market By Industry Vertical (USD Billion) 2023-2030
Table 18 Canada Market By Technology (USD Billion) 2023-2030
Table 19 Mexico Ai Image Recognition Market By Type (USD Billion) 2023-2030
Table 20 Mexico Market By Application (USD Billion) 2023-2030
Table 21 Mexico Market By Industry Vertical (USD Billion) 2023-2030
Table 22 Mexico Market By Technology (USD Billion) 2023-2030
Table 23 South America Ai Image Recognition Market By Country (USD Billion) 2023-2030
Table 24 South America Market By Type (USD Billion) 2023-2030
Table 25 South America Market By Application (USD Billion) 2023-2030
Table 26 South America Market By Industry Vertical (USD Billion) 2023-2030
Table 27 South America Market By Technology (USD Billion) 2023-2030
Table 28 Brazil Market By Type (USD Billion) 2023-2030
Table 29 Brazil Market By Application (USD Billion) 2023-2030
Table 30 Brazil Market By Industry Vertical (USD Billion) 2023-2030
Table 31 Brazil Market By Technology (USD Billion) 2023-2030
Table 32 Argentina Market By Type (USD Billion) 2023-2030
Table 33 Argentina Market By Application (USD Billion) 2023-2030
Table 34 Argentina Market By Industry Vertical (USD Billion) 2023-2030
Table 35 Argentina Market By Technology (USD Billion) 2023-2030
Table 36 Colombia Market By Type (USD Billion) 2023-2030
Table 37 Colombia Market By Application (USD Billion) 2023-2030
Table 38 Colombia Market By Industry Vertical (USD Billion) 2023-2030
Table 39 Colombia Market By Technology (USD Billion) 2023-2030
Table 40 Rest Of South America Market By Type (USD Billion) 2023-2030
Table 41 Rest Of South America Market By Application (USD Billion) 2023-2030
Table 42 Rest Of South America Market By Industry Vertical (USD Billion) 2023-2030
Table 43 Rest Of South America Market By Technology (USD Billion) 2023-2030
Table 44 Asia-Pacific Market By Country (USD Billion) 2023-2030
Table 45 Asia-Pacific Market By Type (USD Billion) 2023-2030
Table 46 Asia-Pacific Market By Application (USD Billion) 2023-2030
Table 47 Asia-Pacific Market By Industry Vertical (USD Billion) 2023-2030
Table 48 Asia-Pacific Market By Technology (USD Billion) 2023-2030
Table 49 India Market By Type (USD Billion) 2023-2030
Table 50 India Market By Application (USD Billion) 2023-2030
Table 51 India Market By Industry Vertical (USD Billion) 2023-2030
Table 52 India Market By Technology (USD Billion) 2023-2030
Table 53 China Market By Type (USD Billion) 2023-2030
Table 54 China Market By Application (USD Billion) 2023-2030
Table 55 China Market By Industry Vertical (USD Billion) 2023-2030
Table 56 China Market By Technology (USD Billion) 2023-2030
Table 57 Japan Market By Type (USD Billion) 2023-2030
Table 58 Japan Market By Application (USD Billion) 2023-2030
Table 59 Japan Market By Industry Vertical (USD Billion) 2023-2030
Table 60 Japan Market By Technology (USD Billion) 2023-2030
Table 61 South Korea Market By Type (USD Billion) 2023-2030
Table 62 South Korea Market By Application (USD Billion) 2023-2030
Table 63 South Korea Market By Industry Vertical (USD Billion) 2023-2030
Table 64 South Korea Market By Technology (USD Billion) 2023-2030
Table 65 Australia Market By Type (USD Billion) 2023-2030
Table 66 Australia Market By Application (USD Billion) 2023-2030
Table 67 Australia Market By Industry Vertical (USD Billion) 2023-2030
Table 68 Australia Market By Technology (USD Billion) 2023-2030
Table 69 South-East Asia Market By Type (USD Billion) 2023-2030
Table 70 South-East Asia Market By Application (USD Billion) 2023-2030
Table 71 South-East Asia Market By Industry Vertical (USD Billion) 2023-2030
Table 72 South-East Asia Market By Technology (USD Billion) 2023-2030
Table 73 Rest Of Asia Pacific Market By Type (USD Billion) 2023-2030
Table 74 Rest Of Asia Pacific Market By Application (USD Billion) 2023-2030
Table 75 Rest Of Asia Pacific Market By Industry Vertical (USD Billion) 2023-2030
Table 76 Rest Of Asia Pacific Market By Technology (USD Billion) 2023-2030
Table 77 Europe Market By Country (USD Billion) 2023-2030
Table 78 Europe Market By Type (USD Billion) 2023-2030
Table 79 Europe Market By Application (USD Billion) 2023-2030
Table 80 Europe Market By Industry Vertical (USD Billion) 2023-2030
Table 81 Europe Market By Technology (USD Billion) 2023-2030
Table 82 Germany Market By Type (USD Billion) 2023-2030
Table 83 Germany Market By Application (USD Billion) 2023-2030
Table 84 Germany Market By Industry Vertical (USD Billion) 2023-2030
Table 85 Germany Market By Technology (USD Billion) 2023-2030
Table 86 Uk Market By Type (USD Billion) 2023-2030
Table 87 Uk Market By Application (USD Billion) 2023-2030
Table 88 Uk Market By Industry Vertical (USD Billion) 2023-2030
Table 89 Uk Market By Technology (USD Billion) 2023-2030
Table 90 France Market By Type (USD Billion) 2023-2030
Table 91 France Market By Application (USD Billion) 2023-2030
Table 92 France Market By Industry Vertical (USD Billion) 2023-2030
Table 93 France Market By Technology (USD Billion) 2023-2030
Table 94 Italy Market By Type (USD Billion) 2023-2030
Table 95 Italy Market By Application (USD Billion) 2023-2030
Table 96 Italy Market By Industry Vertical (USD Billion) 2023-2030
Table 97 Italy Market By Technology (USD Billion) 2023-2030
Table 98 Spain Market By Type (USD Billion) 2023-2030
Table 99 Spain Market By Application (USD Billion) 2023-2030
Table 100 Spain Market By Industry Vertical (USD Billion) 2023-2030
Table 101 Spain Market By Technology (USD Billion) 2023-2030
Table 102 Russia Market By Type (USD Billion) 2023-2030
Table 103 Russia Market By Application (USD Billion) 2023-2030
Table 104 Russia Market By Industry Vertical (USD Billion) 2023-2030
Table 105 Russia Market By Technology (USD Billion) 2023-2030
Table 106 Rest Of Europe Market By Type (USD Billion) 2023-2030
Table 107 Rest Of Europe Market By Application (USD Billion) 2023-2030
Table 108 Rest Of Europe Market By Industry Vertical (USD Billion) 2023-2030
Table 109 Rest Of Europe Market By Technology (USD Billion) 2023-2030
Table 110 Middle East And Africa Market By Country (USD Billion) 2023-2030
Table 111 Middle East And Africa Market By Type (USD Billion) 2023-2030
Table 112 Middle East And Africa Market By Application (USD Billion) 2023-2030
Table 113 Middle East And Africa Market By Industry Vertical (USD Billion) 2023-2030
Table 114 Middle East And Africa Market By Technology (USD Billion) 2023-2030
Table 115 UAE Market By Type (USD Billion) 2023-2030
Table 116 UAE Market By Application (USD Billion) 2023-2030
Table 117 UAE Market By Industry Vertical (USD Billion) 2023-2030
Table 118 UAE Market By Technology (USD Billion) 2023-2030
Table 119 Saudi Arabia Market By Type (USD Billion) 2023-2030
Table 120 Saudi Arabia Market By Application (USD Billion) 2023-2030
Table 121 Saudi Arabia Market By Industry Vertical (USD Billion) 2023-2030
Table 122 Saudi Arabia Market By Technology (USD Billion) 2023-2030
Table 123 South Africa Market By Type (USD Billion) 2023-2030
Table 124 South Africa Market By Application (USD Billion) 2023-2030
Table 125 South Africa Market By Industry Vertical (USD Billion) 2023-2030
Table 126 South Africa Market By Technology (USD Billion) 2023-2030
Table 127 Rest Of Middle East And Africa Market By Type (USD Billion) 2023-2030
Table 128 Rest Of Middle East And Africa Market By Application (USD Billion) 2023-2030
Table 129 Rest Of Middle East And Africa Market By Industry Vertical (USD Billion) 2023-2030
Table 130 Rest Of Middle East And Africa Market By Technology (USD Billion) 2023-2030
List of Figures
Figure 1 Market Dynamics
Figure 2 Market Segmentation
Figure 3 Report Timelines: Years Considered
Figure 4 Data Triangulation
Figure 5 Bottom-Up Approach
Figure 6 Top-Down Approach
Figure 7 Research Flow
Figure 8 Global Ai Image Recognition Market By Technology USD Billion, 2023-2030
Figure 9 Global Ai Image Recognition Market By Type USD Billion, 2023-2030
Figure 10 Global Ai Image Recognition Market By Industry Vertical, USD Billion, 2023-2030
Figure 11 Global Ai Image Recognition Market By Application, USD Billion, 2023-2030
Figure 12 Global Ai Image Recognition Market By Region, USD Billion, 2023-2030
Figure 13 Porter’s Five Forces Model
Figure 14 Global Ai Image Recognition Market By Technology USD Billion, 2022
Figure 15 Global Ai Image Recognition Market By Type, USD Billion, 2022
Figure 16 Global Ai Image Recognition Market By Industry Vertical, USD Billion, 2022
Figure 17 Global Ai Image Recognition Market By Application, USD Billion, 2022
Figure 18 Global Ai Image Recognition Market By Region, USD Billion, 2022
Figure 19 Market Share Analysis
Figure 20 Amazon Web Services (Aws): Company Snapshot
Figure 21 Google Llc: Company Snapshot
Figure 22 Microsoft Corporation: Company Snapshot
Figure 23 Ibm Corporation: Company Snapshot
Figure 24 Nvidia Corporation: Company Snapshot
Figure 25 Intel Corporation: Company Snapshot
Figure 26 Qualcomm Technologies, Inc.: Company Snapshot
Figure 27 Huawei Technologies Co., Ltd.: Company Snapshot
Figure 28 Samsung Electronics Co., Ltd.: Company Snapshot
Figure 29 Baidu, Inc.: Company Snapshot
Figure 30 Clarifai, Inc.: Company Snapshot
Figure 31 Sensetime Group Limited: Snapshot
Figure 32 Megvii Technology Limited: Company Snapshot
Figure 33 Iflytek Co., Ltd.: Company Snapshot
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