[225+ Pages PDF Report] Global Edge AI hardware market in 2019 was approximately 594 Million Units. The market is expected to grow at a CAGR of 20.2% and is anticipated to reach around 2160 Million Units by 2026.
This specialized and expertise oriented industry research report scrutinizes the technical and commercial business outlook of the Edge AI Hardware industry. The report analyzes and declares the historical and current trends analysis of the Edge AI Hardware industry and subsequently recommends the projected trends anticipated to be observed in the Edge AI Hardware market during the upcoming years.
The Edge AI Hardware market report analyzes and notifies the industry statistics at the global as well as regional and country levels in order to acquire a thorough perspective of the entire edge AI Hardware market. The historical and past insights are provided for FY 2016 to FY 2019 whereas projected trends are delivered for FY 2020 to FY 2026. The quantitative and numerical data is represented in terms of volume (Million Units) from FY 2016 – 2026.
The quantitative data is further underlined and reinforced by comprehensive qualitative data which comprises various across-the-board market dynamics. The rationales which directly or indirectly impact the Edge AI Hardware industry are exemplified through parameters such as growth drivers, restraints, challenges, and opportunities among other impacting factors.
Throughout our research report, we have encompassed all the proven models and tools of industry analysis and extensively illustrated all the key business strategies and business models adopted in the Edge AI Hardware industry. The report provides an all-inclusive and detailed competitive landscape prevalent in the Edge AI Hardware market.
The report utilizes established industry analysis tools and models such as Porter’s Five Forces framework to analyze and recognize critical business strategies adopted by various stakeholders involved in the entire value chain of the Edge AI Hardware industry. The Edge AI Hardware market report additionally employs SWOT analysis and PESTLE analysis models for further in-depth analysis.
The report study further includes an in-depth analysis of industry players' market shares and provides an overview of leading players' market position in the Edge AI Hardware sector. Key strategic developments in the Edge AI Hardware market competitive landscape such as acquisitions & mergers, inaugurations of different products and services, partnerships & joint ventures, MoU agreements, VC & funding activities, R&D activities, and geographic expansion among other noteworthy activities by key players of the Edge AI Hardware market are appropriately highlighted in the report.
Increasing adoption of edge AI hardware devices such as smart cameras by governmental bodies in order to control crime activities and natural calamities is expected to drive the growth of the global edge AI hardware market in the coming years. In addition, the development of reliable cloud computing infrastructure and advancements in artificial intelligence solutions is also expected to drive the growth of the market. On a contrary, the lack of a trained and skilled workforce in context is estimated to hamper the growth of the market in the near future. Nonetheless, the growing demand for the development of human-aware AI systems is expected to open new opportunities in the global edge AI hardware market.
The Edge AI Hardware market research report delivers an acute valuation and taxonomy of the Edge AI Hardware industry by practically splitting the market on the basis of different devices, processors, power consumption, process, applications, and regions. Through the analysis of the historical and projected trends, all the segments and sub-segments were evaluated through the bottom-up approach, and different market sizes have been projected for FY 2020 to FY 2026. The regional segmentation of the Edge AI Hardware industry includes the complete classification of all the major continents including North America, Latin America, Europe, Asia Pacific, and Middle East & Africa. Further, country-wise data for the Edge AI Hardware industry is provided for the leading economies of the world.
On the basis of the device, the global edge AI hardware market is divided into smartphones, cameras, robots, automobiles, smart speakers, wearable, and smart mirrors. By processor, the market is segmented into CPU, GPU, ASIC, and others. On the basis of power consumption, the market is segregated into less than 1 W, 1–3 W, 3–5 W, 5–10 W, and more than 10 W. By process, the market is classified into training and interface. Consumer electronics smart home, automotive & transportation, government, healthcare, industrial, aerospace & defense, construction, and others are the end-users for the market.
Some of the essential players operating in the Edge AI Hardware market, but not restricted to include Intel Corporation, NVIDIA Corporation, Samsung Electronics Co., Ltd, Huawei Technologies Co., Ltd., Google Inc., MediaTek Inc., Xilinx Inc., Imagination Technologies Limited, and Microsoft Corporation, and others.
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