Market Overview:
The global AI in smartphone and wearable market is expected to grow at a CAGR of XX% during the forecast period from 2018 to 2030. The growth of this market can be attributed to the increasing demand for AI-enabled smartphones and wearables across different applications such as logistics, healthcare, transportation, automotive, retail, BFSI, aerospace and consumer electronics. Moreover, the increasing adoption of AI in smartphones and wearables by small businesses and consumers is also contributing significantly to the growth of this market. However, lack of awareness about the benefits offered by AI-enabled smartphones and wearables may restrain the growth of this market during the forecast period.
Product Definition:
The term “AI” stands for artificial intelligence. In smartphones and wearables, AI is used to refer to the technology that allows devices to learn and evolve over time. This includes features such as facial recognition, voice recognition, and natural language processing. The importance of AI in smartphones and wearables is that it allows devices to become more personalized and efficient over time.
Smartphone & Tablet:
Smartphone and tablet are the two major devices that most of the AI applications run on. The smartphone market is witnessing growth in terms of usage as well as sales, globally. It has been observed that smartphones have become a necessity rather than a luxury for most of the age groups across all regions. With technological advancement such as dual camera system in some high-end smartphones, it has made photography easy and convenient for everyone.
Wearable:
Wearable is a device that is directly attached to the body or clothing and can be used by consumers for health-related purposes. It can track various activities such as heart rate, blood oxygen level, calorie intake, sleep quality and also provide information on real-time basis. Wearable devices are gaining popularity among tech giants as well as average consumers due to its ability of tracking fitness along with providing other essential information in real-time manner.
Application Insights:
The logistics segment dominated the market in 2017 and is expected to witness significant growth over the forecast period. The growing need for automation in transportation systems, coupled with rising adoption of AI-enabled wearables by shippers and carriers, is anticipated to drive the segment. Furthermore, increasing penetration of smartphones has led to an increase in demand for e-commerce which further propels market growth.
The healthcare sector accounted for a considerable share on account of increasing usage of smartphone devices by patients as well as medical professionals. Moreover, wearable devices are increasingly being used by patients suffering from chronic diseases or disabilities for their day-to-day activities such as shopping and traveling which propels market growth across this sector also known as ¢â‚¬Å“wearable technologies boost health care applications¢â‚¬ (HCS).
Regional Analysis:
The North American regional market is anticipated to dominate the global industry in terms of revenue share. The growth can be attributed to the increasing investments in R&D and technological advancements coupled with a high adoption rate of new technologies. The region has witnessed an increase in sales of smart devices, such as smartphones and wearable devices, which are further expected to drive the market over the forecast period.
However, Asia Pacific is projected to emerge as a prominent region during the forecast years owing to several strategic initiatives adopted by key players for expansion and innovation of products within their product portfolio. For instance, Samsung Electronics Co., Ltd., one of largest smartphone manufacturers across Asia Pacific has introduced its latest Galaxy S8+ smartphone that comes equipped with AI-infused features including Bixby Vision™ that enables users engage directly with digital services through camera UI instead typing on keyboard or using voice commands like previous versions.
Growth Factors:
- Increasing demand for AI-powered smartphones and wearables from consumers due to the growing awareness of the benefits of AI technology.
- The increasing demand for voice assistants in smartphones and wearables, as well as the development of new features that make use of AI technology.
- The increasing use of machine learning algorithms in smartphones and wearables to improve performance and user experience.
- The growing trend towards using augmented reality (AR) and virtual reality (VR) in smartphones and wearables, which requires more powerful processors and GPUs to handle the processing demands.
- Advances in semiconductor technologies that allow for smaller, more power-efficient processors that can be used in smart devices, including smartphones and wearable devices
Scope Of The Report
Report Attributes
Report Details
Report Title
AI in Smartphone and Wearable Market Research Report
By Type
Smartphone & Tablet, Wearable, Others
By Application
Logistics, Healthcare, Transportations, Automotive, Retail, BFSI, Aerospace, Consumer Electronics, Oil & Gas, Others
By Companies
Lenovo, Apple, Huawei, Xiaomi, Samsung
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
164
Number of Tables & Figures
115
Customization Available
Yes, the report can be customized as per your need.
Global AI in Smartphone and Wearable Market Report Segments:
The global AI in Smartphone and Wearable market is segmented on the basis of:
Types
Smartphone & Tablet, Wearable, Others
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Logistics, Healthcare, Transportations, Automotive, Retail, BFSI, Aerospace, Consumer Electronics, Oil & Gas, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Lenovo
- Apple
- Huawei
- Xiaomi
- Samsung
Highlights of The AI in Smartphone and Wearable Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Smartphone & Tablet
- Wearable
- Others
- By Application:
- Logistics
- Healthcare
- Transportations
- Automotive
- Retail
- BFSI
- Aerospace
- Consumer Electronics
- Oil & Gas
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the AI in Smartphone and Wearable Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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- Correctly Positioning New Products
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
AI is a computer program that can learn and work on its own, making decisions based on data. In smartphones and wearable devices, AI can be used to help you with tasks like navigation or voice recognition.
Some of the major players in the ai in smartphone and wearable market are Lenovo, Apple, Huawei, Xiaomi, Samsung.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 AI in Smartphone and Wearable Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 AI in Smartphone and Wearable Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 AI in Smartphone and Wearable Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the AI in Smartphone and Wearable Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global AI in Smartphone and Wearable Market Size & Forecast, 2018-2028
4.5.1 AI in Smartphone and Wearable Market Size and Y-o-Y Growth
4.5.2 AI in Smartphone and Wearable Market Absolute $ Opportunity
Chapter 5 Global AI in Smartphone and Wearable Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 AI in Smartphone and Wearable Market Size Forecast by Type
5.2.1 Smartphone & Tablet
5.2.2 Wearable
5.2.3 Others
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global AI in Smartphone and Wearable Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 AI in Smartphone and Wearable Market Size Forecast by Applications
6.2.1 Logistics
6.2.2 Healthcare
6.2.3 Transportations
6.2.4 Automotive
6.2.5 Retail
6.2.6 BFSI
6.2.7 Aerospace
6.2.8 Consumer Electronics
6.2.9 Oil & Gas
6.2.10 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global AI in Smartphone and Wearable Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 AI in Smartphone and Wearable Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America AI in Smartphone and Wearable Analysis and Forecast
9.1 Introduction
9.2 North America AI in Smartphone and Wearable Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America AI in Smartphone and Wearable Market Size Forecast by Type
9.6.1 Smartphone & Tablet
9.6.2 Wearable
9.6.3 Others
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America AI in Smartphone and Wearable Market Size Forecast by Applications
9.10.1 Logistics
9.10.2 Healthcare
9.10.3 Transportations
9.10.4 Automotive
9.10.5 Retail
9.10.6 BFSI
9.10.7 Aerospace
9.10.8 Consumer Electronics
9.10.9 Oil & Gas
9.10.10 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe AI in Smartphone and Wearable Analysis and Forecast
10.1 Introduction
10.2 Europe AI in Smartphone and Wearable Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe AI in Smartphone and Wearable Market Size Forecast by Type
10.6.1 Smartphone & Tablet
10.6.2 Wearable
10.6.3 Others
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe AI in Smartphone and Wearable Market Size Forecast by Applications
10.10.1 Logistics
10.10.2 Healthcare
10.10.3 Transportations
10.10.4 Automotive
10.10.5 Retail
10.10.6 BFSI
10.10.7 Aerospace
10.10.8 Consumer Electronics
10.10.9 Oil & Gas
10.10.10 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific AI in Smartphone and Wearable Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific AI in Smartphone and Wearable Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific AI in Smartphone and Wearable Market Size Forecast by Type
11.6.1 Smartphone & Tablet
11.6.2 Wearable
11.6.3 Others
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific AI in Smartphone and Wearable Market Size Forecast by Applications
11.10.1 Logistics
11.10.2 Healthcare
11.10.3 Transportations
11.10.4 Automotive
11.10.5 Retail
11.10.6 BFSI
11.10.7 Aerospace
11.10.8 Consumer Electronics
11.10.9 Oil & Gas
11.10.10 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America AI in Smartphone and Wearable Analysis and Forecast
12.1 Introduction
12.2 Latin America AI in Smartphone and Wearable Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America AI in Smartphone and Wearable Market Size Forecast by Type
12.6.1 Smartphone & Tablet
12.6.2 Wearable
12.6.3 Others
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America AI in Smartphone and Wearable Market Size Forecast by Applications
12.10.1 Logistics
12.10.2 Healthcare
12.10.3 Transportations
12.10.4 Automotive
12.10.5 Retail
12.10.6 BFSI
12.10.7 Aerospace
12.10.8 Consumer Electronics
12.10.9 Oil & Gas
12.10.10 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) AI in Smartphone and Wearable Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) AI in Smartphone and Wearable Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) AI in Smartphone and Wearable Market Size Forecast by Type
13.6.1 Smartphone & Tablet
13.6.2 Wearable
13.6.3 Others
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) AI in Smartphone and Wearable Market Size Forecast by Applications
13.10.1 Logistics
13.10.2 Healthcare
13.10.3 Transportations
13.10.4 Automotive
13.10.5 Retail
13.10.6 BFSI
13.10.7 Aerospace
13.10.8 Consumer Electronics
13.10.9 Oil & Gas
13.10.10 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 AI in Smartphone and Wearable Market: Competitive Dashboard
14.2 Global AI in Smartphone and Wearable Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Lenovo
14.3.2 Apple
14.3.3 Huawei
14.3.4 Xiaomi
14.3.5 Samsung
