Edge AI Hardware Market Growth Drivers & Revenue Analysis 2027 1
Edge AI Hardware Market Growth Drivers & Revenue Analysis 2027
Edge AI Hardware Market
The Edge AI Hardware Market is expected to reach 2,716 million units by 2027, Report provides crucial industry insights that will help your business grow.

Research study on “Edge AI Hardware Market by Device, Processor(CPU, GPU, and ASIC), Function, Power Consumption( Less than 1 W, 1-3 W, 3-5 W, 5-10 W, and more than 10 W), Vertical and Geography – Global Forecast to 2027” The edge AI hardware market is projected to grow from 1,056 Million Units to reach 2,716 million units by 2027; it is expected to grow at a CAGR of 20.8% during the forecast period.

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Key opportunities for the edge AI hardware market include the growing demand for IoT-based edge computing solutions and the rising adoption of 5G networks to bring IT and telecom together and dedicated AI processors for on-device image analytics.

Major Key Players :

  • Apple (US),
  • MediaTek (Taiwan),
  • Qualcomm Technologies (US),
  • Huawei Technologies (China),
  • Samsung Electronics (South Korea).

Browse 142 market data Tables and 69 Figures spread through 244 Pages and in-depth TOC on “Edge AI Hardware Market by Vertical and Geography – Global Forecast to 2027”

Wearables in devices is expected to have highest CAGR during the forecast period

The increasing use of wearables among consumers is becoming more common as people are shifting from conventional wearables to smart and sophisticated ones. This has opened a huge opportunity for the edge AI hardware market players. Smart wearables and health trackers could further accelerate the growth of the edge AI hardware market for wearables.

Driver: Requirement for low latency and real-time data transmission mission-critical applications

In edge AI, machine learning algorithms process IoT-generated data to near-end devices to overcome the problem of high latency and lack of security. A large volume of data gathered from an IoT device is transmitted to the cloud, where machine learning (ML) models run and transmit the processed data back to the device, which may lead to a delay in response. However, on-device AI reduces data sharing, enabling a faster response.

Opportunity: Emergence of 5G networks that bring IT and telecom together

The launch of 5G networks is bringing IT and telecommunications together to introduce new features for high-end applications and reduce network latency. The 5G network enables the establishment of data centers at edge modules, as well as implement industry-specific networks aided by virtualization and software-defined networking principles in a single environment. Critical AI applications, such as autonomous vehicles, industry automation, surgery, and robotics, demand ultra-low latency (less than a round trip delay of 1 millisecond).

China to grow with the highest CAGR  in Asia Pacific region during the forecast period

China is the largest market for edge AI hardware in Asia Pacific. Devices such as smartphones, industrial robots, and automobiles hold a huge growth potential for the edge AI hardware market in Asia Pacific. The region is becoming a center of attraction for major investments as it holds significant business expansion opportunities. Various AI processor start-ups in China are raising funds to grow in the edge AI hardware market. For example, ThinkForce (China) raised around USD 68 million, and DeePhi (China) raised around USD 40 million.

Don’t miss out on business opportunities in Edge AI Hardware Market. Speak to our analyst and gain crucial industry insights that will help your business grow.

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