Global Edge AI Hardware Market – Industry Trends and Forecast to 2026

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Global Edge AI Hardware Market – Industry Trends and Forecast to 2026

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Global Edge AI Hardware Market By Device (Smartphones, Cameras, Robots, Wearables, Smart Speaker, Automotive, Smart Mirror), Processors (CPU, GPU, ASIC, Others), Power Consumption (Less than 1W, 1-3W, 3-5W, 5-10W, More than 10W), Process (Training, Inference), End-User Industry (Consumer Electronics, Smart Home, Automotive & Transportation, Government, Healthcare, Industrial, Aerospace & Defense, Construction, Others), Geography (North America, South America, Europe, Asia-Pacific, Middle East and Africa)– Industry Trends and Forecast to 2026

Market Analysis: Global Edge AI Hardware Market

Global Edge AI Hardware Market is expected to rise from its initial estimated value of 513.01 million units in 2018 to an estimated value of 2245.87 million units by 2026, registering a CAGR of 20.27% in the forecast period of 2019-2026. This rise in market value can be attributed to the growth in demand of edge computing products and services due to the significant prevalence of IoT in the industries.

Market Definition: Global Edge AI Hardware Market

Edge AI hardware are the various devices and equipments that are used to power and process the various AI based robots and devices. These hardware products inclusive of processors, sensors, cameras, etc. are used to integrate and improve the processing of these AI devices by processing the data in the device itself without the need for cloud systems or cloud computing.

Market Drivers:

  • Growth in demand for faster and efficient edge hardware devices that require lower processing time in AI applications; this factor is expected to act as a driver for the market growth
  • Reduced costing and innovations in products available in the market is expected to drive the market growth

Market Restraints:

  • Lack or dearth of professionals that are skilled or knowledgeable enough on AI and edge computing; this factor is expected to restrain the market growth
  • Lack of training or skills for the operations of devices and equipments’ integration in various AI devices; this factor is expected to restrain the market growth

Segmentation: Global Edge AI Hardware Market

  • By Device
    • Smartphones
    • Cameras
    • Robots
    • Wearables
    • Smart Speaker
    • Automotive
    • Smart Mirror
  • By Processors
    • Central Processing Unit (CPU)
    • Graphics Processing Unit (GPU)
    • Application-Specific Integrated Circuit (ASIC)
    • Others
  • By Power Consumption
    • Less than 1W
    • 1-3W
    • 3-5W
    • 5-10W
    • More than 10W
    • By Process
    • Training
    • Inference
  • By End-User Industry
    • Consumer Electronics
      • Smartphones
      • Wearables
      • Entertainment Robots
    • Smart Home
      • Smart Speaker
      • Smart Camera
      • Domestic Robots
    • Automotive & Transportation
      • Automobile
      • Surveillance Camera
      • Logistics Robots
    • Government
      • Surveillance Camera
      • Drones
    • Healthcare
      • Medical Robots
      • Wearables
    • Industrial
      • Industrial Robots
      • Drones
      • Cameras
    • Aerospace & Defense
      • Service Robots
    • Construction
      • Service Robots
      • Drones
    • Others
      • Surveillance Camera
      • Robots
      • Wearables
      • Smart Mirror
  • By Geography
    • North America
      • US
      • Canada
      • Mexico
    • South America
      • Brazil
      • Argentina
      • Rest of South America
    • Europe
      • Germany
      • France
      • United Kingdom
      • Italy
      • Spain
      • Russia
      • Turkey
      • Belgium
      • Netherlands
      • Rest of Europe
    • Asia-Pacific
      • Japan
      • China
      • South Korea
      • India
      • Australia
      • Singapore
      • Malaysia
      • Indonesia
      • Thailand
      • Philippines
      • Rest of Asia-Pacific
    • Middle East and Africa
      • South Africa
      • Egypt
      • Saudi Arabia
      • United Arab Emirates
      • Israel
      • Rest of Middle East and Africa

Key Developments in the Market:

  • In March 2019, NVIDIA Corporation announced the launch of an AI computer termed as “Jetsen Nano”, it is a computing board that will find its application in robots and AI-powered devices, without the need for outside interference for faster processing.
  • In March 2019, Alphabet Inc.’s subsidiary Google unveiled a number of new hardware products for AI development. The products include development board, USB accelerator and 5-megapixel camera. These products though haven’t yet been officially announced by the company but were unveiled under a new brand name “Coral”.

Competitive Analysis

Global edge AI hardware market is highly fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market. The report includes market shares of edge AI hardware market for global, Europe, North America, Asia-Pacific and South America.

Major Market Competitors/Players

Few of the major competitors currently working in edge AI hardware market are videantis GmbH; Qualcomm Technologies, Inc.; NVIDIA Corporation; Premier Farnell Limited; Micron Technology, Inc.; Alphabet Inc.; SecureRF Corporation; Microsoft; Xilinx Inc.; Intel Corporation; Huawei Technologies Co., Ltd.; SAMSUNG; Apple Inc.; Arm Limited; MediaTek Inc.; Applied Brain Research, Inc.; Horizon Robotics; Cadence Design Systems, Inc.; CEVA, Inc.; Imagination Technologies Limited; Synopsys, Inc.; Thinci; General Vision; Mythic; Adapteva, Inc.; Tenstorrent Inc and VeriSilicon Limited.

Research Methodology

Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analysed and forecasted using market statistical and coherent models. Also market share analysis and key trend analysis are the major success factors in the market report. To know more please Request an Analyst Call or can drop down your inquiry.

The key research methodology used by DBMR Research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.

Key Insights in the report:

  • Complete and distinct analysis of the market drivers and restraints
  • Key market players involved in this industry
  • Detailed analysis of the market segmentation
  • Competitive analysis of the key players involved
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