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.
Segmentation by application: breakdown data from 2014 to 2019, in Section 2.4; and forecast to 2024 in section 10.8.
Consumer and Enterprise Robotics
This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8.
Middle East & Africa
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.
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.
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.