Artificial Intelligence

AI (Artificial Intelligence) Image Recognition Market 2020 with Growth, Share, Demand, Global Production with Revenue Share, and Applications Forecast to 2024


AI (Artificial Intelligence) Image Recognition Market” report delivers an overview of the market trends, drivers, and barriers with respect to the competitive landscape. It also provides a detailed overview of the market of different regions globally. Furthermore, the AI (Artificial Intelligence) Image Recognition market report contains a primary overview of the AI (Artificial Intelligence) Image Recognition market covering different product definitions, classifications, and participants in the industry chain structure.

The global AI (Artificial Intelligence) Image Recognition market provides quantitative and qualitative analysis of the competitive landscape, development trends, and key success in the AI (Artificial Intelligence) Image Recognition industry.

Competitor Landscape: AI (Artificial Intelligence) Image Recognition market report contains top companies on the basis of types, applications, size, share, and regions.

According to Eirik Thorsnes at UNI Research in Bergen, Norway, “There has been a tremendous development in recent years, and we are now surpassing the human level in terms of image recognition and analysis. Computers never get tired of looking at near-identical images and may be capable of noticing even the tiniest nuances that we humans cannot see. In addition, as it gets easier to analyze large volumes of images and video, many processes in society can be improved and optimized.

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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.

Asia-Pacific Expected to Witness Rapid Growth

Image recognition solutions have been gaining prominence incessantly in Asia-Pacific, particularly to cater to the growing need for security solutions due to the advent of the smart homes and smart city initiatives in the developing economies in the region.
Due to the growth of the e-commerce segment of the retail industry in the recent past, vendors in the Asia-Pacific market are investing majorly in image recognition technologies to offer an enhanced digital experience to consumers.
Government initiatives and investments have been supportive of the market growth, which has further been complemented by the presence of major players, such as IBM, Microsoft, and Google, among others, in Asia-Pacific. Singapore’s National Research Foundation has invested about USD 107.64 million in the AI. SG initiative, to uplift the artificial intelligence technology.
Artificial intelligence offers the region massive opportunities for growth, innovation, and productivity, with the potential to address key issues in the social environment within the fast developing economies.

Reason to buy AI (Artificial Intelligence) Image Recognition Market Report:

  • AI (Artificial Intelligence) Image Recognition market report provides pin-point analysis for changing competitive dynamics.
  • AI (Artificial Intelligence) Image Recognition market report provides a forward-looking perspective on different factors driving or restraining market growth
  • Ability to analyze the development of future products, pricing strategies, and launch plans of the AI (Artificial Intelligence) Image Recognition market.
  • Further insight into the prevalence of the subdivided types of AI (Artificial Intelligence) Image Recognition and identification of segments with high potential.
  • Delivery of more accurate information related to various countries.
  • Evaluate the key vendors in the AI (Artificial Intelligence) Image Recognition market in terms of product satisfaction and business strategy.

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Detailed TOC of AI (Artificial Intelligence) Image Recognition Market 2020-2024:

1 INTRODUCTION
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS
4.1 Market Overview
4.2 Introduction to Market Drivers and Restraints
4.3 Market Drivers
4.3.1 Growing AI Adoption
4.3.2 Increasing Use of Big Data Analytics
4.3.3 Declining Costs of Hardware
4.4 Market Restraints
4.4.1 Lack of Technical Expertize
4.5 Value Chain Analysis
4.6 Industry Attractiveness Porter’s Five Forces Analysis
4.6.1 Threat of New Entrants
4.6.2 Bargaining Power of Buyers/Consumers
4.6.3 Bargaining Power of Suppliers
4.6.4 Threat of Substitute Products
4.6.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION
5.1 By Type
5.1.1 Hardware
5.1.2 Software
5.1.3 Services
5.2 By End User
5.2.1 Automotive
5.2.2 BFSI
5.2.3 Healthcare
5.2.4 Retail
5.2.5 Security
5.2.6 Other End Users
5.3 Geography
5.3.1 North America
5.3.2 Europe
5.3.3 Asia-Pacific
5.3.4 Latin America
5.3.5 Middle East & Africa

6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 IBM Corporation
6.1.2 Alphabet Inc.
6.1.3 Amazon Inc.
6.1.4 Intel Corp.
6.1.5 MICRON TECHNOLOGY INC.
6.1.6 Clarifai Inc.
6.1.7 Microsoft Corporation
6.1.8 Nvidia Corporation
6.1.9 Qualcomm Corp.
6.1.10 Samsung Electronics
6.1.11 Xilinx Inc.

7 MARKET INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS

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