CoronaVirus Outbreak 2020: AI in Smartphone and Wearable Market Value Will Grow Upto 30% OF CAGR by 2026 | Know the Impact Analysis of Corona-virus/COVID19 | Top Players: Lenovo, Apple, Huawei, Xiaomi, Samsung and more…

AI in Smartphone and Wearable Market Ecosystem is dominated by smartwatches and fitness bands in 2018 and by the end of 2023, the AI-enabled smartphones & wearables market is expected to witness ~30% CAGR.

The ripple effect of Coronavirus-COVID19 on the AI in Smartphone and Wearable Market needs to become part of strategy discussions to emerge strong. The Analyst team is meticulously tracking the impact and relevance to all the sectors in the AI in Smartphone and Wearable Market. Key datasets include Revenue Impact analysis, Disruptions and New opportunities in the Supply Chain, Revised Vendor Landscape Mix, New opportunities mapping, and more.


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Leading manufacturers of smartphones and wearables like Samsung, Apple, Huawei, Fitbit, etc., are using AI in smartphones and smart wearables to enhance customer experience. The smart wearable market is growing rapidly with an 8.3% YoY, and there were 27.9 million units of smart wearables shipped in 2018. AI is enhancing the capabilities of connected devices like smartphones and wearable by making them more efficient and intelligent. Technologies like machine vision, voice recognition, audio processing, and others are used in the new generation AI-enabled consumer electronics. 3% of smartphones sold in 2018 were AI-enabled and by the end of 2020, 35% smartphones are expected to be integrated with AI technologies. Technological progress in miniaturized electronics and mobile access to computational power are driving the growth of the wearable AI industry.

Following Top Key players are profiled in this Market Study:
Lenovo, Apple, Huawei, Xiaomi, Samsung, and more...

The major players operating in the Global AI in Smartphone and Wearable Market Ecosystem are as follows:
Company: Lenovo Apple Huawei Xiaomi Samsung
Total Revenue (US$ Bn) $ 51.0 $ 258.4 105.1 $ 25.4 $ 211.2

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Global AI in Smartphone and Wearable Market Ecosystem Analysis
Artificial Intelligence (AI) has transformed the outlook of smartphone and wearables. Smartphones have been using AI for some time now. The combination of AI and 5G will facilitate the emergence of a new generation of devices. The latest smartphones and wearables have integrated cloud-based AI, along with built-in AI. The benefit of the on-device AI hardware is data privacy and security. Personal biometric data or other sensitive data can remain on the device and do not need to be sent over the internet for processing in the cloud. In terms of growth in Product, the smartwatch segment is driving the market with a CAGR of 15.0%, while the smartphone segment is well placed in terms of value. Key countries like China and the US are expected to drive maximum gains from AI in smartphones and wearables by the end of 2026. Revenue of the US in the consumer electronics segment amounts to US$74,316m in 2019, while the revenue generated in China amounts to US$128,240m in 2019. With the emergence of 5G network and AI, the US and China will double their revenue.



Glance on Global AI in Smartphone and Wearable Market Trends:.
The machine learning-based trackers and smartwatches are used to predict the menstrual cycle of the women. That records the moods, PMS symptoms and takes the whole control on the health of women. These devices provide alerts of unknown health complications and length of periodic cycle by analyzing the fertility data.
And more...

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Table of Content:
Ecosystem Report - Table of Content
1. Introduction
1. Global AI in Smartphone and Wearable Ecosystem Definition
2. Scope of study
2. Executive Summary
1. Global Market Segmentation
AI in Smartphone and Wearable Ecosystem Positioning
1. Global AI in Smartphone and Wearable Ecosystem Snapshot

2. Global AI in Smartphone and Wearable Ecosystem Segmentation
1. By Component
AI in Smartphone and Wearable Ecosystem Sizing, Volume, and ASP Analysis & Forecast
1. Global AI in Smartphone and Wearable Ecosystem Sizing & Volume
1. Cross-segmentation
And More...

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