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The image recognition market is expected to grow at a Compound Annual Growth Rate (CAGR) of 16.1% during the forecast period, from USD  46.7 billion by 2024 to USD 98.6 billion by 2029. The growing demand for image recognition software for video surveillance, facial recognition, and anomaly detection is expected to drive market growth during the forecast period.

Major Image Recognition Companies Include

• Google (US)
• Qualcomm (US)
• Toshiba (Japan)
• NVIDIA (US)
• Oracle (US)
• NEC (Japan)
• Huawei (China)
• Hitachi (Japan)
• Trax (Singapore)

To know about the assumptions considered for the study download the pdf brochure

Google (US):

Google is an American multinational technology that operates in over 50 countries worldwide, making it one of the most widely recognized and geographically diverse technology firms. The company's operations are divided into three major business segments: Advertising, Cloud, and Other. Google's core focus is providing a wide range of technology solutions, including cloud computing, AI, data analytics, and blockchain, to help businesses and organizations transform and innovate. With a strong presence in North America, Europe, Asia Pacific, and Latin America, Google serves clients across various healthcare, finance, manufacturing, and government industries. It continues to drive advancements in emerging technologies, making it a prominent player in the global technology landscape.

Google significantly contributes to the image recognition market by developing powerful algorithms and services like Google Photos and Google Lens. These tools allow users to search and organize their photos using advanced image recognition technology, identifying objects, people, and even landmarks within images.

Qualcomm (US):

Qualcomm is a global technology company known for its wireless communication and semiconductor manufacturing innovations. It operates across several business segments, including mobile, automotive, IoT (Internet of Things), and networking. Qualcomm has a significant presence worldwide, serving customers in various industry verticals, such as smartphones, automotive, healthcare, and smart cities.

Qualcomm's advanced mobile technologies are pivotal in the image recognition market. Its Snapdragon processors power many smartphones and mobile devices, enabling features like facial recognition, object detection, and augmented reality. Qualcomm's chips incorporate sophisticated image processing capabilities, allowing devices to capture, analyze, and interpret images in real time. This technology enhances user experiences in photography, gaming, and social media applications. Qualcomm's investment in machine learning and AI further bolsters its image recognition offerings, making devices more innovative and intuitive. As the demand for visual computing continues to grow, Qualcomm remains at the forefront, driving innovation and shaping the future of image recognition technology in mobile devices and beyond.

Toshiba (Japan):

Toshiba Corporation is a Japanese multinational conglomerate headquartered in Minato, Tokyo, Japan. They are known for their electronics and infrastructure products and services. While not a major player in AI specifically, Toshiba does have research and development efforts in areas like artificial intelligence and machine learning, focusing on applications in areas like energy management and industrial automation.

NVIDIA (US):

You've already inquired about NVIDIA (US) earlier. Here's a quick summary: They are a leading American multinational company based in Santa Clara, California, focusing on graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing market. Their high-performance GPUs are crucial for training large language models (LLMs) due to the parallel processing capabilities they offer.

Oracle (US):

Oracle Corporation is an American multinational computer technology corporation headquartered in Redwood Shores, California. They specialize in enterprise software products, including database software, cloud engineered systems, and enterprise resource planning software. While not a core focus, Oracle does offer some AI and machine learning solutions integrated with their cloud platform.

NEC (Japan):

NEC Corporation is a Japanese multinational information technology company headquartered in Minato, Tokyo, Japan. They provide a wide range of IT and networking products and services, including IT solutions, network solutions, and system integration services. NEC has a stronger presence in artificial intelligence compared to Toshiba, developing AI solutions for various applications such as facial recognition, anomaly detection, and machine translation.

Huawei (China):

Huawei Technologies Co., Ltd. is a Chinese multinational technology company headquartered in Shenzhen, China. They are a leading global provider of telecommunications equipment and consumer electronics. Huawei has invested heavily in artificial intelligence research and development, offering AI solutions for various sectors like smartphones, cloud computing, and autonomous vehicles.

Hitachi (Japan):

Hitachi, Ltd. is a Japanese multinational conglomerate headquartered in Chiyoda, Tokyo, Japan. They are a diversified technology company with a focus on information technology, infrastructure, industrial products & services, and power & energy systems. Similar to NEC, Hitachi is actively involved in AI research and development, offering AI solutions for various industries such as manufacturing, healthcare, and transportation.

Trax (Singapore):

Trax is a Singaporean computer vision company with a focus on retail execution and brand optimization solutions. They use AI and computer vision to analyze data from retail stores, such as shelf inventory and product placement. While not directly involved in large language models, Trax leverages AI for image recognition and data analysis tasks.

Related Reports:

Image Recognition Market by Offering (Hardware, Software, Services), Technology (QR/barcode, Digital Image Processing, Facial Recognition ), Application Area ,Organization Size, Vertical and Region - Global Forecast to 2029

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