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Research Reports

Artificial Intelligence Market to Surpass Valuation Of US$ 2.8 Trn By 2030 | TMR

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AI-based Products, Mobile Apps Revive Market Growth during Coronavirus Outbreak

In order to address the coronavirus situation, Big Data and Artificial Intelligence (AI) are being successfully used.  The AI is being leveraged to monitor cases, identify disease clusters, and predict future outbreaks. Such trends are creating incremental opportunities for companies in the artificial intelligence market. Stakeholders are taking efforts to develop early warning systems by extracting information from social media platforms and news sites to provide useful information about vulnerable regions.

AI-based triage systems are being provided by companies in the artificial intelligence market. However, a relatively small amount of buyers is opting for such technologies. Thus, companies are focusing mainly on AI-based mobile health apps, smart watches, cameras, and wearable devices to revive market growth.

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Educational Tools Help Avoid AI Singularity, Promote Productive Applications

The artificial intelligence market is expected to advance at an explosive CAGR of ~29% during the assessment period. However, high costs, lack of creativity in bots, and absence of ethics in the AI technology are raising concerns that AI could grow uncontrollably, leading to the well-known concept of AI singularity. Hence, companies are catering to productive applications for healthcare and education in order to use the technology for constructive purposes.

Companies are establishing stable business streams in AI-based educational tools to develop skills and testing systems. AI has the potential to drive efficiency, personalization, and streamline admin tasks to allow teachers the time and freedom to provide an understanding of complex learning concepts and adaptability in students.

Get More Press Releases by TMR: https://www.prnewswire.com/news-releases/investor-esg-software-market-to-exceed-the-valuation-of-us-2-54-bn-by-2031–notes-tmr-study-301396201.html

AI-enhanced Banking Security, Compliance Generate Revenue Opportunities for Companies

Banks are most likely to benefit from AI, as banking stakeholders are gaining opportunity to rethink approaches toward people and various processes. Chatbots or digital personal assistant are among the most popular AI software in the banking sector, which helps to answer FAQs (Frequently Asked Questions) of customers. Companies in the artificial intelligence market are providing AI-enhanced security since bank data is a goldmine of personal and confidential information.

On the other hand, banking compliance and financial forecasting, with the help of AI, are creating value grab opportunities for companies in the artificial intelligence market. Automating manual compliance in cases of Know Your Customer and Anti-Money Laundering (AML) are becoming customary in banking services.

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Self-driving Cars, Retail Drive Computer Vision Technology

Computer vision, a subset of AI, is being used in self-driving automobiles. A recent and popular example of this is Elon Musk’s Tesla, which is exploiting computer vision at unprecedented levels for not only analyzing images but also individual pixels within the images. Carmakers are anticipated to use computer vision to conduct tests that validate a car’s ability to navigate safely in daily traffic.

Even as computer vision in self-driving cars is anticipated to revolutionize mobility services, the possibility of fatal accidents remains prominent. While establishing continuous R&D in automotive applications, companies in the artificial intelligence market are tapping into incremental opportunities in retail applications such as the Amazon Go checkout-free self-service retail stores.

About TMR

TMR is a leader in the market research space providing end-to-end business solutions and consulting services. TMR operates from its own office space of almost 10,000 sq. ft located in a prime commercial complex at Pune. We serve clients in 150 countries with an approach to deep dive into the economic aspects and geographical nuances for unfailing business intelligence.

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