AI (Artificial Intelligence) Image Recognition Market Technological Innovations, Advancements and Future Scope 2020-2024

The report presents an in-depth assessment of the Global AI (Artificial Intelligence) Image Recognition including enabling technologies, key trends, market drivers, challenges, standardization, regulatory landscape, deployment models, operator case studies, opportunities, future roadmap, value chain, ecosystem player profiles and strategies. The report also presents forecasts for Global AI (Artificial Intelligence) Image Recognition investments from 2019 till 2024.

The AI image recognition market was valued at USD 1.41 billion in 2018 and is projected to reach a market value of USD 5.32 billion by 2024 at a CAGR of 24.7% over the forecast period (2019 - 2024).

The Global AI (Artificial Intelligence) Image Recognition market is highly competitive and consists of a number of major players. Companies, like IBM Corporation, Alphabet Inc., Amazon Inc., Intel Corp., MICRON TECHNOLOGY INC., Clarifai Inc., Microsoft Corporation, Nvidia Corporation, Qualcomm Corp., Samsung Electronics, Xilinx Inc. among others.

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Scope of the Report:

Image recognition, in the context of machine vision, is the ability of software to identify objects, places, people, writing and actions in images. Computers can use machine vision technologies in combination with a camera and artificial intelligence software to achieve image recognition. Image recognition is used to perform a large number of machine-based visual tasks, such as labeling the content of images with meta tags, performing image content search, guiding autonomous robots and self-driving cars, and in accident avoidance systems.

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Key Market Trends:

Banking Sector Expected to Witness Prominent Growth
Images are real and omnipresent, and unlike other forms of data, they cannot be forged easily. These traits make images repositories of big data, and hence, exploiting such data can be a great source of information for financial institutions.
The banking industry has been a major benefactor of AI, with firms in the BFSI industry relying on the technology for a diverse range of applications, like personalizing communication with customers, staying competitive in a continuously evolving market, and improving the productivity drastically through the automation of redundant tasks (which is a major task due to the conventional infrastructure in a number of old school financial institutions).
Banks have tons of unstructured data on interactions with customers, customer photographs, and old documents, to name a few. The data, if deciphered well, can provide valuable inputs for the future of the financial institutions.
Facebook can now identify and map 98% of its images correctly to the right person. Imaging technology is being used for identifying and removing fake social accounts. Such image-based fake identification has immense potential in enriching credit-scoring and risk-modeling of banks. Images could also be used by underwriters in risk assessment and fraud identification.

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What are the market factors that are explained in the report?

–Key Strategic Developments: The study also includes the key strategic developments of the market, comprising R&D, new product launch, M&A, agreements, collaborations, partnerships, joint ventures, and regional growth of the leading competitors operating in the market on a global and regional scale.

–Key Market Features: The report evaluated key market features, including revenue, price, capacity, capacity utilization rate, gross, production, production rate, consumption, import/export, supply/demand, cost, market share, CAGR, and gross margin. In addition, the study offers a comprehensive study of the key market dynamics and their latest trends, along with pertinent market segments and sub-segments.

–Analytical Tools: Global AI (Artificial Intelligence) Image Recognition Market report includes the accurately studied and assessed data of the key industry players and their scope in the market by means of a number of analytical tools. The analytical tools such as Porter’s five forces analysis, feasibility study, and investment return analysis have been used to analyzed the growth of the key players operating in the market.

Finally, Global AI (Artificial Intelligence) Image Recognition Market report is the believable source for gaining the Market research that will exponentially accelerate your business. The report gives the principle locale, economic situations with the item value, benefit, limit, generation, supply, request and Market development rate and figure and so on. This report additionally Present new task SWOT examination, speculation attainability investigation, and venture return investigation.

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