Global Artificial Intelligence for Edge Devices Market 2019 by Company, Regions, Type and Application, Forecast to 2024

Published On: July 2019 | Report ID: 4448 | Category: TechnologyPages: 120

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.

Scope of the Report:

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%.

The global Artificial Intelligence for Edge Devices market is valued at 1491.3 million USD in 2018 and is expected to reach 4684.3 million USD by the end of 2024, growing at a CAGR of 25.7% between 2019 and 2024.

The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.

North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Artificial Intelligence for Edge Devices.

Europe also play important roles in global market, with market size of xx million USD in 2019 and will be xx million USD in 2024, with a CAGR of xx%.

This report studies the Artificial Intelligence for Edge Devices market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Artificial Intelligence for Edge Devices market by product type and applications/end industries.

Market Segment by Companies, this report covers

Microsoft

Qualcomm

Intel

Google

Alibaba

NVIDIA

Arm

Horizon Robotics

Baidu

Synopsys

Cambricon

MediaTek

Mythic

NXP

Market Segment by Regions, regional analysis covers

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India and Southeast Asia)

South America (Brazil, Argentina, Colombia)

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Market Segment by Type, covers

Hardware

Software

Market Segment by Applications, can be divided into

Automotive

Consumer and Enterprise Robotics

Drones

Head-Mounted Displays

Smart Speakers

Mobile Phones

PCs/Tablets

Security Cameras

Table of Contents

1 Artificial Intelligence for Edge Devices Market Overview

1.1 Product Overview and Scope of Artificial Intelligence for Edge Devices

1.2 Classification of Artificial Intelligence for Edge Devices by Types

1.2.1 Global Artificial Intelligence for Edge Devices Revenue Comparison by Types (2019-2024)

1.2.2 Global Artificial Intelligence for Edge Devices Revenue Market Share by Types in 2018

1.2.3 Hardware

1.2.4 Software

1.3 Global Artificial Intelligence for Edge Devices Market by Application

1.3.1 Global Artificial Intelligence for Edge Devices Market Size and Market Share Comparison by Applications (2014-2024)

1.3.2 Automotive

1.3.3 Consumer and Enterprise Robotics

1.3.4 Drones

1.3.5 Head-Mounted Displays

1.3.6 Smart Speakers

1.3.7 Mobile Phones

1.3.8 PCs/Tablets

1.3.9 Security Cameras

1.4 Global Artificial Intelligence for Edge Devices Market by Regions

1.4.1 Global Artificial Intelligence for Edge Devices Market Size (Million USD) Comparison by Regions (2014-2024)

1.4.1 North America (USA, Canada and Mexico) Artificial Intelligence for Edge Devices Status and Prospect (2014-2024)

1.4.2 Europe (Germany, France, UK, Russia and Italy) Artificial Intelligence for Edge Devices Status and Prospect (2014-2024)

1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Artificial Intelligence for Edge Devices Status and Prospect (2014-2024)

1.4.4 South America (Brazil, Argentina, Colombia) Artificial Intelligence for Edge Devices Status and Prospect (2014-2024)

1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Artificial Intelligence for Edge Devices Status and Prospect (2014-2024)

1.5 Global Market Size of Artificial Intelligence for Edge Devices (2014-2024)

2 Manufacturers Profiles

2.1 Microsoft

2.1.1 Business Overview

2.1.2 Artificial Intelligence for Edge Devices Type and Applications

2.1.2.1 Product A

2.1.2.2 Product B

2.1.3 Microsoft Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2018)

2.2 Qualcomm

2.2.1 Business Overview

2.2.2 Artificial Intelligence for Edge Devices Type and Applications

2.2.2.1 Product A

2.2.2.2 Product B

2.2.3 Qualcomm Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2018)

2.3 Intel

2.3.1 Business Overview

2.3.2 Artificial Intelligence for Edge Devices Type and Applications

2.3.2.1 Product A

2.3.2.2 Product B

2.3.3 Intel Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2018)

2.4 Google

2.4.1 Business Overview

2.4.2 Artificial Intelligence for Edge Devices Type and Applications

2.4.2.1 Product A

2.4.2.2 Product B

2.4.3 Google Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2018)

2.5 Alibaba

2.5.1 Business Overview

2.5.2 Artificial Intelligence for Edge Devices Type and Applications

2.5.2.1 Product A

2.5.2.2 Product B

2.5.3 Alibaba Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2018)

2.6 NVIDIA

2.6.1 Business Overview

2.6.2 Artificial Intelligence for Edge Devices Type and Applications

2.6.2.1 Product A

2.6.2.2 Product B

2.6.3 NVIDIA Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2018)

2.7 Arm

2.7.1 Business Overview

2.7.2 Artificial Intelligence for Edge Devices Type and Applications

2.7.2.1 Product A

2.7.2.2 Product B

2.7.3 Arm Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2018)

2.8 Horizon Robotics

2.8.1 Business Overview

2.8.2 Artificial Intelligence for Edge Devices Type and Applications

2.8.2.1 Product A

2.8.2.2 Product B

2.8.3 Horizon Robotics Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2018)

2.9 Baidu

2.9.1 Business Overview

2.9.2 Artificial Intelligence for Edge Devices Type and Applications

2.9.2.1 Product A

2.9.2.2 Product B

2.9.3 Baidu Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2018)

2.10 Synopsys

2.10.1 Business Overview

2.10.2 Artificial Intelligence for Edge Devices Type and Applications

2.10.2.1 Product A

2.10.2.2 Product B

2.10.3 Synopsys Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2018)

2.11 Cambricon

2.11.1 Business Overview

2.11.2 Artificial Intelligence for Edge Devices Type and Applications

2.11.2.1 Product A

2.11.2.2 Product B

2.11.3 Cambricon Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2018)

2.12 MediaTek

2.12.1 Business Overview

2.12.2 Artificial Intelligence for Edge Devices Type and Applications

2.12.2.1 Product A

2.12.2.2 Product B

2.12.3 MediaTek Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2018)

2.13 Mythic

2.13.1 Business Overview

2.13.2 Artificial Intelligence for Edge Devices Type and Applications

2.13.2.1 Product A

2.13.2.2 Product B

2.13.3 Mythic Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2018)

2.14 NXP

2.14.1 Business Overview

2.14.2 Artificial Intelligence for Edge Devices Type and Applications

2.14.2.1 Product A

2.14.2.2 Product B

2.14.3 NXP Artificial Intelligence for Edge Devices Revenue, Gross Margin and Market Share (2017-2018)

3 Global Artificial Intelligence for Edge Devices Market Competition, by Players

3.1 Global Artificial Intelligence for Edge Devices Revenue and Share by Players (2014-2019)

3.2 Market Concentration Rate

3.2.1 Top 5 Artificial Intelligence for Edge Devices Players Market Share

3.2.2 Top 10 Artificial Intelligence for Edge Devices Players Market Share

3.3 Market Competition Trend

4 Global Artificial Intelligence for Edge Devices Market Size by Regions

4.1 Global Artificial Intelligence for Edge Devices Revenue and Market Share by Regions

4.2 North America Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

4.3 Europe Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

4.4 Asia-Pacific Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

4.5 South America Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

4.6 Middle East and Africa Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

5 North America Artificial Intelligence for Edge Devices Revenue by Countries

5.1 North America Artificial Intelligence for Edge Devices Revenue by Countries (2014-2019)

5.2 USA Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

5.3 Canada Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

5.4 Mexico Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

6 Europe Artificial Intelligence for Edge Devices Revenue by Countries

6.1 Europe Artificial Intelligence for Edge Devices Revenue by Countries (2014-2019)

6.2 Germany Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

6.3 UK Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

6.4 France Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

6.5 Russia Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

6.6 Italy Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

7 Asia-Pacific Artificial Intelligence for Edge Devices Revenue by Countries

7.1 Asia-Pacific Artificial Intelligence for Edge Devices Revenue by Countries (2014-2019)

7.2 China Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

7.3 Japan Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

7.4 Korea Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

7.5 India Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

7.6 Southeast Asia Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

8 South America Artificial Intelligence for Edge Devices Revenue by Countries

8.1 South America Artificial Intelligence for Edge Devices Revenue by Countries (2014-2019)

8.2 Brazil Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

8.3 Argentina Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

8.4 Colombia Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

9 Middle East and Africa Revenue Artificial Intelligence for Edge Devices by Countries

9.1 Middle East and Africa Artificial Intelligence for Edge Devices Revenue by Countries (2014-2019)

9.2 Saudi Arabia Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

9.3 UAE Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

9.4 Egypt Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

9.5 Nigeria Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

9.6 South Africa Artificial Intelligence for Edge Devices Revenue and Growth Rate (2014-2019)

10 Global Artificial Intelligence for Edge Devices Market Segment by Type

10.1 Global Artificial Intelligence for Edge Devices Revenue and Market Share by Type (2014-2019)

10.2 Global Artificial Intelligence for Edge Devices Market Forecast by Type (2019-2024)

10.3 Hardware Revenue Growth Rate (2014-2024)

10.4 Software Revenue Growth Rate (2014-2024)

11 Global Artificial Intelligence for Edge Devices Market Segment by Application

11.1 Global Artificial Intelligence for Edge Devices Revenue Market Share by Application (2014-2019)

11.2 Artificial Intelligence for Edge Devices Market Forecast by Application (2019-2024)

11.3 Automotive Revenue Growth (2014-2019)

11.4 Consumer and Enterprise Robotics Revenue Growth (2014-2019)

11.5 Drones Revenue Growth (2014-2019)

11.6 Head-Mounted Displays Revenue Growth (2014-2019)

11.7 Smart Speakers Revenue Growth (2014-2019)

11.8 Mobile Phones Revenue Growth (2014-2019)

11.9 PCs/Tablets Revenue Growth (2014-2019)

11.10 Security Cameras Revenue Growth (2014-2019)

12 Global Artificial Intelligence for Edge Devices Market Size Forecast (2019-2024)

12.1 Global Artificial Intelligence for Edge Devices Market Size Forecast (2019-2024)

12.2 Global Artificial Intelligence for Edge Devices Market Forecast by Regions (2019-2024)

12.3 North America Artificial Intelligence for Edge Devices Revenue Market Forecast (2019-2024)

12.4 Europe Artificial Intelligence for Edge Devices Revenue Market Forecast (2019-2024)

12.5 Asia-Pacific Artificial Intelligence for Edge Devices Revenue Market Forecast (2019-2024)

12.6 South America Artificial Intelligence for Edge Devices Revenue Market Forecast (2019-2024)

12.7 Middle East and Africa Artificial Intelligence for Edge Devices Revenue Market Forecast (2019-2024)

13 Research Findings and Conclusion

14 Appendix

14.1 Methodology

14.2 Data Source

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