Global Artificial Intelligence for Edge Devices Market Growth (Status and Outlook) 2019-2024

20off

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
Google
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.

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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

Research Process

The research starts with the extensive procurement process of data/information and statistics from company annual reports, government websites, statistic agencies, and paid databases. This information creates a base for the study. This information also helps to define the scope and to narrow down the area for study for the market. This raw information is processed and analysed to extract crisp data points which currently affect or are likely to affect the industry over the forecast period. After analysing the information, a proprietary market estimation & forecast technique is applied, which generates the quantitative figures/sizes of the market/sub-segments in the current scenario as well as for over the forecast period. After populating the market sizes & estimates, numbers are verified with the industry participants and key opinion leaders. The wide network of industry participants performs a value addition in the research and verify the numbers & estimates of the study. In the last stage of the research process, a final report is prepared which is then published on different websites as well as distributed through various channels. Below figure contains the different stages of the whole research performed to produce the report.

After populating the market sizes & estimates, numbers are verified with the industry participants and key opinion leaders. The wide network of industry participants performs a value addition in the research and verify the numbers & estimates of the study. In the last stage of the research process, a final report is prepared which is then published on different websites as well as distributed through various channels. Below figure contains the different stages of the whole research performed to produce the report.

DATA MINING

Data mining is one of the extensive stages of our research process. It involves the procurement of market data and related information through different verified & credible sources. This step helps to obtain the raw information about the supply chain of the industry, the monetary process of different Products & End-Uses, the pool of market participants & the nature of the industry and the scope of the study. The data mining stage comprises both primary as well as secondary sources of information. Some of the key data sources are as follows:

Secondary Research In the process of secondary research, various sources are referred to identify and collect industry trends and information for the research process. We at having access to some of the most diversified and extensive paid databases which give us the most accurate data/information on markets sizes, Products and pricing.

In the primary research process for data mining, various key industry participants from both supply and demand side are interviewed to obtain both qualitative as well as quantitative information on the market. In-depth interviews with key primary respondents, including industry professionals, subject matter experts (SMEs), industry consultants, and C-level executives of major companies are conducted to obtain critical qualitative and quantitative aspects pertaining to the market, as well as to assess the prospects for market growth over the forecast period.

ANALYSIS

This step involves the analysis & mapping of all the information procured from the previous step. This step also encompasses the scrutiny of data discrepancies observed across various data sources and finalising the appropriate data for estimation and forecasting. This analysis is done by our experienced panel of industry analysts.

MARKET ESTIMATION

Understanding and penetrating the market in terms of valuation is a crucial task in the process of business research. This again becomes significantly important while investing and choosing the business opportunities. In this regard, we perform two ways market sizing approach simultaneously namely top-down and bottom-up approaches. In this step, we place different data points, numeric attributes, information, and industry trends at an appropriate space in order to deduce the estimates & forecast values over the coming years. We use different mathematical models to estimate the market sizes of different economies and segments. Each of which is further summed up to define the total market. We own a proprietary tool for market estimations which helps us to comprehend market size estimates & forecasts for different markets and industries. Below figure explains the process of market estimation using independent tool employed by our analysts to get the sizing off the market.