Edge AI has been gaining momentum due to advances in edge computing, where the processing of data occurs at the edge of the network. The major cause that AI processing moves to the edge devices include cost, privacy, security, bandwidth, and latency. These factors require to be considered in edge devices. There are several hardware options for AI edge processing, which include GPUs (Graphics Processing Unit), CPUs (Central Processing Unit), ASICs (Application-Specific Integrated Circuits), and FPGA (Field-Programmable Gate Array). The effect of model compression techniques, such as Google’s Learn2Compress that allows the decrease of large AI models into small hardware form is contributing to the growth of the AI edge processing.

Other factors encouraging the growth of the market include increasing demand for smart devices and the rising adoption of edge computing in IoT. A significant rise in the demand for smart home devices, such as Alexa and Apple Siri have been reported over the years. These are voice analytics platforms that support the adoption of AI chips. Amazon has started designing custom AI chip that will power the future Echo devices. This will improve the quality and response time of its Alexa voice assistant. Alexa is built on NLP that supports the process of converting speech into sounds, words, and ideas. Since the first-generation Echo, customers have purchased more than 100 million Alexa-enabled devices. In 2017, Amazon has improved Alexa’s ability to understand requests and answer questions by more than 20%, while adding billions of facts to make Alexa more knowledgeable than ever, as per Amazon Web Services Inc. As a result, the demand for smart home devices is providing remarkable growth opportunities for the market.

Geographically, the global edge AI hardware market is classified into four major regions, such as North America, Europe, Asia-Pacific, and RoW. North America occupied the major share in edge AI hardware in 2018 due to significant demand for AI platforms and well-developed IT infrastructure in the region. However, Asia-Pacific is estimated to witness optimistic growth due to the rising consumer electronics market in the region.

Some of the players included in the report includes Qualcomm Technologies, Inc., NVIDIA Corp., Microsoft Corp., Huawei Technologies Co. Ltd., Intel Corp., and Wave Computing, Inc. Qualcomm is one of the players contributing significantly to the growth of the market. The company is focused on adopting organic growth strategies such as partnership and collaboration, and product launch to sustain its position in the global market. For instance, in March 2019, Qualcomm, Inc., introduced new Qualcomm QCS400 SoC (System-on-chip) series. The company brings its unique low-power and high-performance compute capabilities along with its audio technology. This will enable to offer highly optimized AI-supported solutions that are intended for smarter IoT and audio applications. Such new SoCs will enhance the effectiveness of power performance and feature integration for smart audio rather than its earlier technology. As a result, this will facilitate manufacturers to overcome considerable technical challenges more easily and develop smart assistants and speakers with more intuitive voice user interface (UI).

Research Methodology

The market study of the global edge AI hardware market is incorporated by extensive primary and secondary research conducted by the research team at OMR. Secondary research has been conducted to refine the available data to breakdown the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geography to provide a better regional outlook. In the report, the country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior and macro-economic factors. Numbers extracted from secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders, and industry experts. Primary research brings authenticity in our reports.

Secondary Sources Include

• Financial reports of companies involved in the market.
  
• Whitepapers, research-papers, and news blogs.
• Company websites and their product catalog.

The report is intended for AI chip manufacturers, end-user industry such as consumer goods manufacturers and providers, smart home devices providers, healthcare industry, and government organizations and others for overall market analysis and competitive analysis. The report provides in-depth analysis on market size, various products in the market, and growth opportunities. The report will serve as a source for 360-degree analysis of the market thoroughly delivering valuable insights for making better business decisions.

Market Segmentation

Global Edge AI Hardware Market Research and Analysis by Devices

Global Edge AI Hardware Market Research and Analysis by End-User

Global Edge AI Hardware Market Research and Analysis by Processor

The Report Covers

• Comprehensive research methodology of the global edge AI hardware market.
  
• This report also includes a detailed and extensive market overview with key analyst insights.
• An exhaustive analysis of macro and micro factors influencing the market guided by key recommendations.
• Analysis of regional regulations and other government policies impacting the global Edge AI Hardware market.
• Insights about market determinants which are stimulating the global edge AI hardware market.
• Detailed and extensive market segments with regional distribution of forecasted revenues.
• Extensive profiles and recent developments of market players.