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Artificial intelligence (AI) processing today is mostly done in a cloud-based data center. The majority of AI processing is dominated by training of deep learning models, which requires heavy compute capacity. Artificial intelligence for edge devices means that AI software algorithms are processed locally on a hardware device. The algorithms are using data (sensor data or signals) that are created on the device. A device using Edge AI software does not need to be connected in order to work properly, it can process data and take decisions independently without a connection. In this report, artificial intelligence for edge devices contains software tools, platforms, artificial intelligence chip.
Artificial Intelligence for Edge Devices is mainly used for these applications: Automotive, Consumer and Enterprise Robotics, Drones, Head-Mounted Displays, Smart Speakers, Mobile Phones, PCs/Tablets and Security Cameras, and Mobile Phones was the most widely used area which took up about 61.05% of the global total in 2018.
United States is the largest consumption countries of Artificial Intelligence for Edge Devices in the world in the past few years and it will keep leader position in the next few years. United States market took up about 44.46% the global market in 2018, while Europe was about 19.29%.
According to this study, over the next five years the Artificial Intelligence for Edge Devices market will register a 27.9% CAGR in terms of revenue, the global market size will reach US$ 4849.5 million by 2024, from US$ 1417.8 million in 2019. In particular, this report presents the global revenue market share of key companies in Artificial Intelligence for Edge Devices business, shared in Chapter 3.
This report presents a comprehensive overview, market shares and growth opportunities of Artificial Intelligence for Edge Devices market by product type, application, key companies and key regions.
This study considers the Artificial Intelligence for Edge Devices value generated from the sales of the following segments:
Segmentation by product type: breakdown data from 2014 to 2019 in Section 2.3; and forecast to 2024 in section 10.7.
Hardware
Software
Segmentation by application: breakdown data from 2014 to 2019, in Section 2.4; and forecast to 2024 in section 10.8.
Automotive
Consumer and Enterprise Robotics
Drones
Head-Mounted Displays
Smart Speakers
Mobile Phones
PCs/Tablets
Security Cameras
This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8.
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Spain
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report: Breakdown data in in Chapter 3.
Microsoft
Qualcomm
Intel
Alibaba
NVIDIA
Arm
Horizon Robotics
Baidu
Synopsys
Cambricon
MediaTek
Mythic
NXP
In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.
Research objectives
To study and analyze the global Artificial Intelligence for Edge Devices market size by key regions/countries, product type and application, history data from 2014 to 2018, and forecast to 2024.
To understand the structure of Artificial Intelligence for Edge Devices market by identifying its various subsegments.
Focuses on the key global Artificial Intelligence for Edge Devices players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Artificial Intelligence for Edge Devices with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the size of Artificial Intelligence for Edge Devices submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
The base year for the study has been considered 2019, historic year 2014 and 2018, the forecast period considered is from 2020 to 2027. The regions analyzed for the market include North America, Europe, South America, Asia Pacific, and Middle East and Africa. These regions are further analyzed at the country-level. The study also includes attractiveness analysis of type, application and regions which are benchmarked based on their market size, growth rate and attractiveness in terms of present and future opportunity for understanding the future growth of the market.
Market is segmented on the basis:
The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges for gaining the key insight of the market. The report emphasizes on all the key trends that play a vital role in the enlargement of the market from 2019 to 2026.
The report provides company profile of the key players operating in the market and a comparative analysis based on their business overviews industry offering, segment market share, regional presence, business strategies, innovations, mergers & acquisitions, recent developments, joint venture, collaborations, partnerships, SWOT analysis, and key financial information.
Table of Contents
2019-2024 Global Artificial Intelligence for Edge Devices Market Report (Status and Outlook)
1 Scope of the Report
1.1 Market Introduction
1.2 Research Objectives
1.3 Years Considered
1.4 Market Research Methodology
1.5 Economic Indicators
1.6 Currency Considered
2 Executive Summary
2.1 World Market Overview
2.1.1 Global Artificial Intelligence for Edge Devices Market Size 2014-2024
2.1.2 Artificial Intelligence for Edge Devices Market Size CAGR by Region
2.2 Artificial Intelligence for Edge Devices Segment by Type
2.2.1 Hardware
2.2.2 Software
2.3 Artificial Intelligence for Edge Devices Market Size by Type
2.3.1 Global Artificial Intelligence for Edge Devices Market Size Market Share by Type (2014-2019)
2.3.2 Global Artificial Intelligence for Edge Devices Market Size Growth Rate by Type (2014-2019)
2.4 Artificial Intelligence for Edge Devices Segment by Application
2.4.1 Automotive
2.4.2 Consumer and Enterprise Robotics
2.4.3 Drones
2.4.4 Head-Mounted Displays
2.4.5 Smart Speakers
2.4.6 Mobile Phones
2.4.7 PCs/Tablets
2.4.8 Security Cameras
2.5 Artificial Intelligence for Edge Devices Market Size by Application
2.5.1 Global Artificial Intelligence for Edge Devices Market Size Market Share by Application (2014-2019)
2.5.2 Global Artificial Intelligence for Edge Devices Market Size Growth Rate by Application (2014-2019)
3 Global Artificial Intelligence for Edge Devices by Players
3.1 Global Artificial Intelligence for Edge Devices Market Size Market Share by Players
3.1.1 Global Artificial Intelligence for Edge Devices Market Size by Players (2017-2019)
3.1.2 Global Artificial Intelligence for Edge Devices Market Size Market Share by Players (2017-2019)
3.2 Global Artificial Intelligence for Edge Devices Key Players Head office and Products Offered
3.3 Market Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) (2017-2019)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Artificial Intelligence for Edge Devices by Regions
4.1 Artificial Intelligence for Edge Devices Market Size by Regions
4.2 Americas Artificial Intelligence for Edge Devices Market Size Growth
4.3 APAC Artificial Intelligence for Edge Devices Market Size Growth
4.4 Europe Artificial Intelligence for Edge Devices Market Size Growth
4.5 Middle East & Africa Artificial Intelligence for Edge Devices Market Size Growth
5 Americas
5.1 Americas Artificial Intelligence for Edge Devices Market Size by Countries
5.2 Americas Artificial Intelligence for Edge Devices Market Size by Type
5.3 Americas Artificial Intelligence for Edge Devices Market Size by Application
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Key Economic Indicators of Few Americas Countries
6 APAC
6.1 APAC Artificial Intelligence for Edge Devices Market Size by Countries
6.2 APAC Artificial Intelligence for Edge Devices Market Size by Type
6.3 APAC Artificial Intelligence for Edge Devices Market Size by Application
6.4 China
6.5 Japan
6.6 Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
6.10 Key Economic Indicators of Few APAC Countries
7 Europe
7.1 Europe Artificial Intelligence for Edge Devices by Countries
7.2 Europe Artificial Intelligence for Edge Devices Market Size by Type
7.3 Europe Artificial Intelligence for Edge Devices Market Size by Application
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
7.9 Spain
7.10 Key Economic Indicators of Few Europe Countries
8 Middle East & Africa
8.1 Middle East & Africa Artificial Intelligence for Edge Devices by Countries
8.2 Middle East & Africa Artificial Intelligence for Edge Devices Market Size by Type
8.3 Middle East & Africa Artificial Intelligence for Edge Devices Market Size by Application
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 Market Drivers, Challenges and Trends
9.1 Market Drivers and Impact
9.1.1 Growing Demand from Key Regions
9.1.2 Growing Demand from Key Applications and Potential Industries
9.2 Market Challenges and Impact
9.3 Market Trends
10 Global Artificial Intelligence for Edge Devices Market Forecast
10.1 Global Artificial Intelligence for Edge Devices Market Size Forecast (2019-2024)
10.2 Global Artificial Intelligence for Edge Devices Forecast by Regions
10.2.1 Global Artificial Intelligence for Edge Devices Forecast by Regions (2019-2024)
10.2.2 Americas Market Forecast
10.2.3 APAC Market Forecast
10.2.4 Europe Market Forecast
10.2.5 Middle East & Africa Market Forecast
10.3 Americas Forecast by Countries
10.3.1 United States Market Forecast
10.3.2 Canada Market Forecast
10.3.3 Mexico Market Forecast
10.3.4 Brazil Market Forecast
10.4 APAC Forecast by Countries
10.4.1 China Market Forecast
10.4.2 Japan Market Forecast
10.4.3 Korea Market Forecast
10.4.4 Southeast Asia Market Forecast
10.4.5 India Market Forecast
10.4.6 Australia Market Forecast
10.5 Europe Forecast by Countries
10.5.1 Germany Market Forecast
10.5.2 France Market Forecast
10.5.3 UK Market Forecast
10.5.4 Italy Market Forecast
10.5.5 Russia Market Forecast
10.5.6 Spain Market Forecast
10.6 Middle East & Africa Forecast by Countries
10.6.1 Egypt Market Forecast
10.6.2 South Africa Market Forecast
10.6.3 Israel Market Forecast
10.6.4 Turkey Market Forecast
10.6.5 GCC Countries Market Forecast
10.7 Global Artificial Intelligence for Edge Devices Forecast by Type
10.8 Global Artificial Intelligence for Edge Devices Forecast by Application
11 Key Players Analysis
11.1 Microsoft
11.1.1 Company Details
11.1.2 Artificial Intelligence for Edge Devices Product Offered
11.1.3 Microsoft Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2019)
11.1.4 Main Business Overview
11.1.5 Microsoft News
11.2 Qualcomm
11.2.1 Company Details
11.2.2 Artificial Intelligence for Edge Devices Product Offered
11.2.3 Qualcomm Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2019)
11.2.4 Main Business Overview
11.2.5 Qualcomm News
11.3 Intel
11.3.1 Company Details
11.3.2 Artificial Intelligence for Edge Devices Product Offered
11.3.3 Intel Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2019)
11.3.4 Main Business Overview
11.3.5 Intel News
11.4 Google
11.4.1 Company Details
11.4.2 Artificial Intelligence for Edge Devices Product Offered
11.4.3 Google Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2019)
11.4.4 Main Business Overview
11.4.5 Google News
11.5 Alibaba
11.5.1 Company Details
11.5.2 Artificial Intelligence for Edge Devices Product Offered
11.5.3 Alibaba Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2019)
11.5.4 Main Business Overview
11.5.5 Alibaba News
11.6 NVIDIA
11.6.1 Company Details
11.6.2 Artificial Intelligence for Edge Devices Product Offered
11.6.3 NVIDIA Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2019)
11.6.4 Main Business Overview
11.6.5 NVIDIA News
11.7 Arm
11.7.1 Company Details
11.7.2 Artificial Intelligence for Edge Devices Product Offered
11.7.3 Arm Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2019)
11.7.4 Main Business Overview
11.7.5 Arm News
11.8 Horizon Robotics
11.8.1 Company Details
11.8.2 Artificial Intelligence for Edge Devices Product Offered
11.8.3 Horizon Robotics Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2019)
11.8.4 Main Business Overview
11.8.5 Horizon Robotics News
11.9 Baidu
11.9.1 Company Details
11.9.2 Artificial Intelligence for Edge Devices Product Offered
11.9.3 Baidu Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2019)
11.9.4 Main Business Overview
11.9.5 Baidu News
11.10 Synopsys
11.10.1 Company Details
11.10.2 Artificial Intelligence for Edge Devices Product Offered
11.10.3 Synopsys Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2019)
11.10.4 Main Business Overview
11.10.5 Synopsys News
11.11 Cambricon
11.12 MediaTek
11.13 Mythic
11.14 NXP
12 Research Findings and Conclusion
List of Tables and Figures
Table Product Specifications of Artificial Intelligence for Edge Devices
Figure Artificial Intelligence for Edge Devices Report Years Considered
Figure Market R
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