Rohit Badave
@rohitbadave
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AI Technology will be the Dominating Key Factors in Automotive Industry

Artificial Intelligence (AI) in Automotive Market research report provides various levels of analysis such as industry analysis (industry trends), Market share analysis of top players, and company profiles, which together provide an overall view on the competitive landscape; emerging and high-growth segments of the Artificial Intelligence (AI) in Automotive Market; high-growth regions; and Market drivers, restraints, challenges, and opportunities.

Deep Learning Market Ecosystem 2020 | China attracted investment worth US$ 7.4 Bn in the same year

The deep learning market is poised to grow at an excess of 30% CAGR during the forecast period from 2019-2023.

AI in Pharmaceutical Market Analysis: Growth Challenges, Opportunities And Forthcoming Developments

The report studies the on Global AI in Pharmaceutical Market status and forecast, categorizes the global AI in Pharmaceutical market size (value & volume) by manufacturers (Google LLC., Intel Corporation, Sanofi, Eli Lilly and Company, IBM Corporation, and more), and region. Description: Development of AI technology is helping the overall healthcare industry to flourish. A lot of transformations have occurred across various applications such as in diagnosis, advanced medical devices, drug discovery, hospital management, etc. Drug discovery is one of the emerging fields that is playing an important role in the growth of AI in Pharmaceutical Market Ecosystem. Leading pharmaceutical companies are working on deploying AI. Atomwise is one...

AI Enabled Smart Trackers Market will Register a Significant CAGR During Period 2020-2027

Description:
The Global AI Enabled Smart Trackers Market Ecosystem was valued at US$ 3.2 Bn in 2018 and is expected to reach US$ XX Bn by 2026, growing at a CAGR of 20% during the forecast period. The internet of things is expected to drive the demand for smart tracking wearables in near future. IoT involves machine-to-machine connectivity and communication by cloud platforms, through which data generated by devices gets stored, analyzed, and captured. Wearable devices mainly include fitness wearable, real-time health monitoring wearable sensors, elderly tracker, fetal monitoring wearables, and others.