Global Artificial Intelligence for Edge Devices Market Overview:
Technology is changing at a greater pace and is running our lives these days. Smartphones, tablets, and computer are a few examples of it. With each new upgrade technology compounds existing technologies to create something better than it is previously used before. Edge AI refers to an AI algorithm which is processed locally on a hardware device. It allows real-time operation including data creation, action, the decision where millisecond matter. Real-time operation plays an important role especially in robots, self-driving cars, and many others. Some of the key players profiled in the study are Alibaba (China), Microsoft (United States), Apple Inc. (United States), Baidu (China), CEVA Logistics (Switzerland), Google (United States), Intel (United States), Kneron (United States), MediaTek (Taiwan), Mobileye (Isreal), Movidius (United States), NVIDIA (United States) and Qualcomm (United States).
On the basis of geography, the market of Artificial Intelligence for Edge Devices has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).
- Rising Demand For Low Latency and Real-Time Processing on Edge Device
- Reduced Data Storage
- Technology Advancement and Innovation in AI for Edge Device
- Potential Growth in Emerging Countries
- Power Consumption and Size Constraints
- Lack of Skilled Professionals
Major Market Developments:
In January 2019, Baidu Inc. announced China's first open-source edge computing platform called OpenEdge - allowing developers to build "light, secure and scalable" edge applications. The OpenEdge platform brings processing power to "edge devices" like smart home appliances, wearables, and other IoT devices.
Major Objectives Focused through this Study
To define, describe, and forecast the Global Artificial Intelligence for Edge Devices market on the basis of product [Software and Hardware] , application [Consumer and Enterprise Robotics, Head-Mounted Displays, Drones, Automotive, Mobile Phones, Smart Speakers, PCs/Tablets and Security Cameras], key regions and end user
To provide in-depth information regarding major influencing factors affecting the growth of the market (trends, drivers, restraints, opportunities, and industry-centric and regional challenges)
To strategically analyse the micro-markets and important business segments with respect to individual growth drivers , market trends and potential, and historical contributions to the total market
Identifying the opportunities in the market for key stakeholders and detailing the competitive landscape for market leaders
To provide market size for various segments of the Artificial Intelligence for Edge Devices market with respect to major geographies, namely, South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico)
To strategically profile the key players and analyzing their market shares and core competencies in the Artificial Intelligence for Edge Devices industry
To track key developments such as product launches, expansions, agreements, partnerships, mergers & acquisitions, and R&D activities that are key factors in shaping the market
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**. Additionally, the Players which are also part of the research are Cambricon, Horizon Robotics, Mythic, Arm and Edge AI Hardware Enablers.
** Confirmation on availability of data would be informed prior purchase
While framing the research framework, major and emerging players operating in the Artificial Intelligence for Edge Devices market in various regions have been profiled, and their offerings, geographic footprints, and distribution/sales channels have been analysed through in-depth discussions. Top-down and bottom-up approaches have been used to determine the overall market size. Sizes of the other individual markets have been estimated using the percentage splits obtained through secondary sources such as Hoovers, Bloomberg BusinessWeek, and Dow Jones (Factiva), along with primary respondents. The complete methodology includes the study of the annual and financial reports of the key market players and extensive interviews with industry experts such as CEOs, VPs, directors, and marketing executives for key insights (both qualitative and quantitative) related to the market.