Global Artificial Intelligence (AI) in Smartphone & Wearable Market Ecosystem By Components, By Product; By Technology; By Operating System; By Region; By Application (Predictive Maintenance/Self Diagnostics, Fraud Reduction, Virtual Assistanc, Others ); and Forecast - 2027

Date : Jun 2020

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Report ID : 313

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Category : Information Technology

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Report Format:  PDF EXCEL PPT WORD

Leading manufacturers of smartphones and wearables like Samsung, Apple, Huawei, Fitbit, etc., are using Artificial Intelligence (AI) in smartphones and smart wearables to enhance the 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. Artificial Intelligence 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 of AI-enabled consumer electronics. 3% of smartphones sold in 2018 were AI-enabled and by the end of 2020, 35% of 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. According to our estimates, 85% of the AI wearables market is dominated by smartwatches and fitness bands in 2018 and by the end of 2023, the Artificial Intelligence (AI) in Smartphone & Wearable market ecosystem is expected to witness ~30% CAGR.

Ecosystem Snapshot: Artificial Intelligence (AI) in Smartphone & Wearable Market Ecosystem

AI in Smartphones and Wearables market Ecosystem

Machine Learning, Computer vision, and Natural Language Processing (NLP) are expected to drive the penetration of Artificial Intelligence (AI) in smartphone and wearable applications like virtual assistance, facial recognition, voice recognition, and others. AI-enabled smartwatches help in automating on/off settings, volume, fitness mode, and several other key parameters to ensure that viewers can operate them easily. These AI-enabled features have raised the global unit-share of smartwatches from 45 percent to 64 percent in the year 2018, which is expected to reach 70 percent by the end of the year 2019. Apple has launched its AI-enabled iPhone X, which has stimulating features like identifying images, performing searches based on photos clicked by users, and converting a person’s movement and voice into emojis in real time. Huawei has also launched AI-enabled devices which not only identify objects but can also auto-adjust the camera parameters to capture the best possible image. Samsung’s assistant software Bixby has a ‘Bixby Vision’ feature, which helps users identify an object/product and provides guidance for purchasing it at the best price and place.

Artificial Intelligence (AI) in Smartphone & Wearable Market Segmentation

Components Products Technology Operating system Applications
Micro Processors Smartphone & Tablet Predictive Maintenance/Self Diagnostics Android Predictive Maintenance/Self Diagnostics
Memory Wearable Eyes glasses Machine learning iOS Fraud Reduction
Storage Smartwatches Deep learning Others Virtual Assistance
FPGA Smart trackers NLP   Network Operations & Monitoring Management
GPU EarPods Computer Vision   Security & Surveillance
Camera HMD Predictive Analytics    
Sensors Others Others    
Connectivity IC Others      
Others        

Global Artificial Intelligence (AI) in Smartphone & Wearable Market

Artificial Intelligence (AI) has transformed the outlook of smartphones 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 Artificial Intelligence (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.

Artificial Intelligence (AI) in Smartphone & Wearable Market Ecosystem: Market Statistics Glimpse

AI in Smartphone and Wearable Ecosystem Market Statistics

There are many trends that are having an impact on the market forecast. These, when evaluated from a company’s perspective, can drive growth. Our numerous consulting projects have generated sizeable synergies across all regions and all sizes of companies.

Artificial Intelligence (AI) in Smartphone & Wearable Market Ecosystem: Key Players

Company Ecosystem Positioning Total Revenue Industry Region
Lenovo Product Manufacture $ 51.0 Billion Consumer Electronics Global
Apple Product Manufacture $258.4 Billion Consumer Electronics Global
Huawei Product Manufacture $105.1 Billion Consumer Electronics Global
Xiaomi  Product Manufacture $25.4 Billion Consumer Electronics Global
Samsung Product Manufacture $211.2 Billion Consumer Electronics Global

Very few markets have interconnectivity with other markets like AI. Our Interconnectivity module focuses on the key nodes of heterogeneous markets in detail. Machine learning, Android/iOS, Sensors, Computer Vision, Smartphones markets are some of our key researched markets

Artificial Intelligence (AI) in Smartphone & Wearable Market Ecosystem Major Interconnectivities

AI in Smartphone and Wearable Ecosystem Major Interconnectivities

Global Artificial Intelligence (AI) in Smartphone & Wearable Market Key Trends:

Trends Components Products Technology Impact on Market
Machine learning-based trackers and smartwatches are used to predict the menstrual cycle of 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 the length of the periodic cycle by analyzing the fertility data.   Wearable Machine learning 0.30%
Voice-enabled digital assistants to have created a disruption in the transportation & logistics industry, debuting in smartphones, workstations, smartwatches, vehicles, and homes. Speech recognition embedded with natural language processing and machine learning has spread across several verticals such as transportation & logistics with the motive of bringing down the overall business costs and improving efficiency   Wearables NLP 0.40%
Wearables in healthcare help gather patients' health data in real-time with the help of IoT sensors attached to it. Sensor Wearable NLP 0.61%

 

 

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  1. Introduction
    1. Global Artificial Intelligence (AI) in Smartphone and Wearable Market Definition
    2. Scope of study 
    3. Annual SaaS
  2. Executive Summary
    1. Global Market Segmentation
    2. Global Market Overview
      1. Mega Growth Drivers
      2. Major Growth Blockers
    3. Global Market Statistics
      1.  By Investment
        1. AI Smartphone and Wearable Ecosystem Industry Player
        2. Investment Companies
      2.  By Market Revenue / Shipments/ Price Points                      
    4. Mega Trends
    5. Competitive Landscape
      1. SWOT
      2. PEST
      3. Company Ranking
    6. Market Attractiveness
      1.  By Segment Level
      2.  By Geography (Region/Country)
    7. Interconnectivity
      1.  Allied/Interconnected Markets
      2.  Allied/Interconnected Technologies
      3.  Allied/Interconnected Applications
      4. Allied/Interconnected End Users

Artificial Intelligence (AI) Smartphone and Wearable Market Ecosystem Positioning

  1. Global AI in Smartphone and Wearable Ecosystem Snapshot
    1. AI Smartphone and Wearable Ecosystem Broad Heads
      1. Demand Side
    2. Supply Side
  2. Global AI in Smartphone and Wearable Ecosystem Segmentation
      1.  By Components
        1. Micro-Processors
        2. Memory
        3. Storage
        4. FPGA
        5. GPU
        6. Sensors
        7. Camera
        8. Others
      2.   By Product, Parts & Devices
        1. Smartphones and Tablets
        2. Wearables
          1. Eye Glasses
          2. Smart Watches
          3. Smart Trackers
          4. Ear Pods
          5. HMDs
          6. Others
        3. Others
      3. By Technology
        1. Predictive Maintenance/Self Diagnostics
        2. Machine Learning
        3. Deep Learning
        4. NLP
        5. Computer Vision
        6. Predictive Analytics
        7. Others
      4. By Operating Systems
        1. iOS
        2. Android
        3. Others
      5. By Applications
        1. Fraud Reduction
        2. Self Diagnostics
        3. Virtual Assistance
        4. Network Operations & Monitoring Management
        5. Security (Access Control)
        6. Others
      6. Geographic Overview
        1. North America
          1. U.S.
          2. Canada
          3. Mexico
        2. Europe
          1. U.K.
          2. Germany
          3. Italy
          4. Spain
          5. France
          6. Rest of Europe
        3. APAC
          1. India
          2. Japan
          3. China
          4. South Korea
          5. Taiwan
          6. Rest of APAC
        4. RoW
          1. Middle East
          2. Africa
          3. South America
  3. Competitive Landscape Mapping by Ecosystem Positioning
    1. Company by each node
    2. Vendor Landscaping
    3. Ecosystem Level Analysis
    4. Global AI in Smartphone and Wearable Ecosystem Broad Heads
  4. Competitive Landscape Mapping by Ecosystem Positioning
    1. Company by each node
    2. Vendor Landscaping

Artificial Intelligence (AI) Smartphone and Wearable Market Ecosystem Trend Analysis

  1. Global AI in Smartphone and Wearable Ecosystem Trends
    1. Trend Mapping
      1. Trend Description
      2. Trend Evaluation
        1. Impact
        2. Importance
        3. Remarks
      3. Trend Outlook (Short, Mid, Long Term)
      4. Trend Company Mapping
      5. Related AI in Smartphone and Wearable Market Mapping
      6. Trend Region/Country Mapping

Artificial Intelligence (AI) Smartphone and Wearable Market Ecosystem Regulatory Analysis

  1. Overview
    1. Regulatory Mapping
    2. Regulatory Impact
    3. Regulatory Interlinkage

Artificial Intelligence (AI) Smartphone and Wearable Market Sizing, Volume and ASP Analysis & Forecast

  1. Global AI in Smartphone and Wearable Ecosystem Sizing & Volume
    1. Cross-segmentation
    2. Global AI in Smartphone and Wearable Ecosystem Market Sizing and Forecast
    3. Global AI in Smartphone and Wearable Ecosystem Volume Analysis
    4. Average Selling Price Analysis
  1. Global AI in Smartphone and Wearable Ecosystem Growth Analysis

Artificial Intelligence (AI) Smartphone and Wearable Ecosystem Competitive Intelligence

  1. Competitive Intelligence
    1. Top Industry Players vs Trend Tagging
      1. Importance
      2. Trend Nature (Positive/ Negative)
      3. Value
      4. Interconnectivity for each vendor
    2. Global AI in Smartphone and Wearable Market Share Analysis
      1. By Each Node
    3. Strategies Adopted by Global AI in Smartphone and Wearable Ecosystem participants
      1. Global AI in Smartphone and Wearable Ecosystem Strategies
        1. New product launch Strategies
        2. Geographic Expansion Strategies
        3. Product-line Expansion Strategies
        4. Operational / Efficiency building Strategies
        5. Other Strategies

Artificial Intelligence (AI) Smartphone and Wearable Market Ecosystem Company Profiles

  1. Company Profiles (Total available company profiles for this market are around 103, this is sample list of companies. Please write us at contact@alltheresearch.com for details)
    1. Microsoft
      1. Company Fundamentals
      2. Subsidiaries list
      3. Share Holding Pattern
      4. Key Employees and Board of Directors
      5. Financial Analysis
        1. Financial Summary
        2. Ratio Analysis
        3. Valuation Metrics
      6. Product & Services
      7. Client & Strategies
      8. Ecosystem Presence
      9. SWOT
      10. Trends Mapping
      11. Analyst Views
    2. Intel
    3. Qualcomm
    4. Google
    5. IBM
    6. Micron
    7. Nvidia
    8. Samsung
    9. Apple
    10. Xiaomi
    11. Huawei
    12. LG
    13. Amazon
    14. Fitbit
    15. Oracle
    16. Biobeats
    17. Garmin
    18. Sony
    19. Motive
    20. Huami

Artificial Intelligence (AI) Smartphone and Wearable Market Ecosystem Developments

  1.  Market Developments
    1. AI in Smartphone and Wearable Ecosystem Events & Rationale
    2. R&D, Technology and Innovation
    3. Business & Corporate advancements
    4. M&A, JVs/Partnerships
    5. Political, Macro-economic, Regulatory
    6. Awards & Recognition
    7. Others

Customizations

  1. Ask for Customization
    1. Sensitivity Analysis
    2. TAM SAM SOM Analysis
    3. Other Customization
  2. Appendix
    1. Sources
    2. Assumptions
    3. Contact

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