Market Overview:
The global AI in hardware market is expected to grow at a CAGR of over 25% during the forecast period 2018-2030. The growth of the market can be attributed to the increasing demand for AI-enabled devices, rising adoption of artificial intelligence across industries, and growing investments in research and development (R&D) activities. The global AI in hardware market by type is segmented into smartphones, wearable products, workstation systems, imaging systems, and others. The smartphones segment is expected to hold the largest share of the global AI in hardware market by 2030 owing to the increasing demand for advanced features such as face recognition and augmented reality (AR). Moreover, rising penetration of 5G technology is anticipated to fuel the growth of this segment during the forecast period. The global AI in hardware market by application is divided into consumer electronics, automotive industry, information technology (IT) and telecom sector,, retail sector,,and others segments. Additionally,.
Product Definition:
Artificial intelligence is a process of programming a computer or other device to make decisions for itself. The purpose of AI in hardware is to allow devices to operate more efficiently and effectively by making decisions on their own. This can include tasks such as optimizing energy usage, handling traffic congestion, or responding to customer inquiries.
Smartphone:
Smartphone is a mobile phone that incorporates a microprocessor, memory, and an operating system. It is primarily used for communication through telephony and the Internet. Smartphones are also equipped with sensors to detect physical features such as proximity, light, motion and sound; along with cameras to capture user interface elements such as text or images.
Wearable Product:
Wearable product is a device that is directly attached to the body or clothing and can be used by consumers in various settings. It includes fitness devices, smartwatches, jewelry, clothing etc. The market for wearable products has witnessed significant growth over the past few years owing to their diversified applications such as monitoring health & fitness, tracking objects or people etc.
Application Insights:
The consumer electronics segment accounted for the largest market share in 2017 and is anticipated to maintain its dominance over the forecast period. The growth of this segment can be attributed to increasing demand for smartphones, tablets, wearable devices and smart televisions across various regions. Furthermore, technological advancements such as facial recognition technology in smartphones are further expected to drive AI-based hardware solutions in consumer electronics over the forecast period.
The automotive sector is also expected to witness significant growth owing to growing adoption of self-driving cars by major car manufacturers such as Google and Tesla. Moreover, several companies have been working on advanced driver assistance systems (ADAS) that use vision algorithms for improving driving safety by providing alerts about vehicles ahead or around a bend based on input from cameras mounted at both ends of a vehicle¢â‚¬â„¢s windshield. Such developments are estimated to spur industry expansion over the coming years.
Regional Analysis:
The North American regional market is anticipated to dominate the global AI in hardware industry with a revenue share of over 35% in 2017. The region has been at the forefront of technological advancements and adoption across several industries, particularly IT and telecom. This trend is expected to continue over the forecast period, thereby driving growth in this region.
However, Asia Pacific is projected to be one of the fastest-growing regions during the same period owing to increasing investments from various governments as well as private companies for developing smart cities and advanced technologies such as artificial intelligence (AI). Moreover, rising disposable income levels are also expected drive demand for consumer electronics products that incorporate these systems over next eight years.
Growth Factors:
- Increasing demand for AI-enabled devices: The increasing demand for AI-enabled devices is one of the primary growth drivers for the AI in hardware market. With the advent of new technologies such as 5G and edge computing, there is a growing demand for advanced processors that can handle large amounts of data processing and analytics. This is driving vendors to invest in developing advanced processors that can support AI applications.
- Proliferation of smart devices: The proliferation of smart devices, such as smartphones, tablets, and wearables, is also fueling the growth of the AI in hardware market. These devices are equipped with sensors and processors that can support advanced features such as machine learning and deep learning algorithms. This is helping to drive wider adoption of these technologies across various industries.
- Growing need for data center efficiency: Data centers are becoming increasingly important due to the rapid growth in data volumes generated by businesses worldwide. In order to meet this growing demand while maintaining efficiency, data centers are turning to artificial intelligence solutions to automate their operations processes.. This is helping fuel the growth of the AI in hardware market..
Scope Of The Report
Report Attributes
Report Details
Report Title
AI in Hardware Market Research Report
By Type
Smartphone, Wearable Product, Workstation Systems, Imaging Systems, Others
By Application
Consumer Electronics, Automotive, IT and Telecom, Retail, Others
By Companies
Nvidia Corporation, Intel Corporation, Qualcomm Inc., Samsung, Xilinx, Inc., AMD, Microsoft, Apple
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
233
Number of Tables & Figures
164
Customization Available
Yes, the report can be customized as per your need.
Global AI in Hardware Market Report Segments:
The global AI in Hardware market is segmented on the basis of:
Types
Smartphone, Wearable Product, Workstation Systems, Imaging Systems, 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
Consumer Electronics, Automotive, IT and Telecom, Retail, 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:
- Nvidia Corporation
- Intel Corporation
- Qualcomm Inc.
- Samsung
- Xilinx, Inc.
- AMD
- Microsoft
- Apple
Highlights of The AI in Hardware 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
- Wearable Product
- Workstation Systems
- Imaging Systems
- Others
- By Application:
- Consumer Electronics
- Automotive
- IT and Telecom
- Retail
- 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 Hardware 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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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 in hardware refers to the use of artificial intelligence technology in physical devices, such as computers and smartphones. This technology can help these devices learn and improve over time, making them more efficient and effective.
Some of the major players in the ai in hardware market are Nvidia Corporation, Intel Corporation, Qualcomm Inc., Samsung, Xilinx, Inc., AMD, Microsoft, Apple.
The ai in hardware market is expected to register a CAGR of 25%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 AI in Hardware 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 Hardware Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 AI in Hardware 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 Hardware 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 Hardware Market Size & Forecast, 2018-2028
4.5.1 AI in Hardware Market Size and Y-o-Y Growth
4.5.2 AI in Hardware Market Absolute $ Opportunity
Chapter 5 Global AI in Hardware 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 Hardware Market Size Forecast by Type
5.2.1 Smartphone
5.2.2 Wearable Product
5.2.3 Workstation Systems
5.2.4 Imaging Systems
5.2.5 Others
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global AI in Hardware 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 Hardware Market Size Forecast by Applications
6.2.1 Consumer Electronics
6.2.2 Automotive
6.2.3 IT and Telecom
6.2.4 Retail
6.2.5 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global AI in Hardware 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 Hardware 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 Hardware Analysis and Forecast
9.1 Introduction
9.2 North America AI in Hardware 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 Hardware Market Size Forecast by Type
9.6.1 Smartphone
9.6.2 Wearable Product
9.6.3 Workstation Systems
9.6.4 Imaging Systems
9.6.5 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 Hardware Market Size Forecast by Applications
9.10.1 Consumer Electronics
9.10.2 Automotive
9.10.3 IT and Telecom
9.10.4 Retail
9.10.5 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 Hardware Analysis and Forecast
10.1 Introduction
10.2 Europe AI in Hardware 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 Hardware Market Size Forecast by Type
10.6.1 Smartphone
10.6.2 Wearable Product
10.6.3 Workstation Systems
10.6.4 Imaging Systems
10.6.5 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 Hardware Market Size Forecast by Applications
10.10.1 Consumer Electronics
10.10.2 Automotive
10.10.3 IT and Telecom
10.10.4 Retail
10.10.5 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 Hardware Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific AI in Hardware 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 Hardware Market Size Forecast by Type
11.6.1 Smartphone
11.6.2 Wearable Product
11.6.3 Workstation Systems
11.6.4 Imaging Systems
11.6.5 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 Hardware Market Size Forecast by Applications
11.10.1 Consumer Electronics
11.10.2 Automotive
11.10.3 IT and Telecom
11.10.4 Retail
11.10.5 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 Hardware Analysis and Forecast
12.1 Introduction
12.2 Latin America AI in Hardware 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 Hardware Market Size Forecast by Type
12.6.1 Smartphone
12.6.2 Wearable Product
12.6.3 Workstation Systems
12.6.4 Imaging Systems
12.6.5 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 Hardware Market Size Forecast by Applications
12.10.1 Consumer Electronics
12.10.2 Automotive
12.10.3 IT and Telecom
12.10.4 Retail
12.10.5 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 Hardware Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) AI in Hardware 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 Hardware Market Size Forecast by Type
13.6.1 Smartphone
13.6.2 Wearable Product
13.6.3 Workstation Systems
13.6.4 Imaging Systems
13.6.5 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 Hardware Market Size Forecast by Applications
13.10.1 Consumer Electronics
13.10.2 Automotive
13.10.3 IT and Telecom
13.10.4 Retail
13.10.5 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 Hardware Market: Competitive Dashboard
14.2 Global AI in Hardware Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Nvidia Corporation
14.3.2 Intel Corporation
14.3.3 Qualcomm Inc.
14.3.4 Samsung
14.3.5 Xilinx, Inc.
14.3.6 AMD
14.3.7 Microsoft
14.3.8 Apple
