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Edge Artificial Intelligence Chips Market Size, Share | 2030
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Edge Artificial Intelligence Chips Market Size, Share | 2030

Segments - Edge Artificial Intelligence Chips Market by Functions (Inference and Training), Processor Types (GPU, CPU, ASIC, and Others), Devices (Enterprise Devices and Consumer Devices), and Regions (Asia Pacific, North America, Latin America, Europe, and Middle East & Africa) - Global Industry Analysis, Size, Trends, Forecasts, 2020 – 2028

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Author : Raksha Sharma
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Fact-checked by : V. Chandola
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Editor : Shruti Bhat

Upcoming | Report ID :ICT-SE-3388 | 4.2 Rating | 60 Reviews | 165 Pages | Format : PDF Excel PPT

Report Description


The global edge Artificial Intelligence chips market size was valued USD 2.3 Billion in 2020 and is anticipated to register a high CAGR during the forecast period, 2020-2028. The growth of the market is attributed to the growing penetration and use of smart internet devices.

Edge Artificial Intelligence Chips Market key takeaways

Edge Artificial Intelligence (AI) chips are chipsets that are integrated with advanced technologies, such as machine learning processing and AI algorithms which makes them much more power efficient. Some of these chipsets have advanced low powered audio and video codecs which is the main hardware component of a smartphone that runs the whole operations and make the device smart. Edge AI chips offer various benefits to devices, such as uses less power, runs faster, data privacy & security, and work much better. Edge AI chips eliminate the need for transmitting bulk data to the data centers or cloud station.

The COVID-19 pandemic had positive impact on the market. During the pandemic, lockdown imposed by government bodies across the region resulted in implementation of work from home policy and digital transformation of organization. Additionally, the edge AI chips has been highly adopted by healthcare verticle to track the spread of COVID-19 for reducing its impact.

Market Drivers, Restraints and Opportunities

  • Increasing volume of data generating thorugh social media and ecommerce platoform and need to manage it is expected to be one of the key factors driving the market growth.
  • Growing demand for real-time processing and low latency on edge devices is another major driving factor which can be anticipated to boost the market groeth in forecast period.
  • Rising concern about power comsumption by AI chip in devices is a major challenge that can restrict the market growth in the coming years.
  • Limited on-device training can also be expected to hamper the market growth during the projected timeline.
  • Increasing demand for online communication platforms that are relatively safe, is pushing companies to invest heavily on AI Chipset solutions, and is expected to create lucrative opportunities during the forecast period.

Scope of the Report

The report on the global edge Artificial Intelligence chips market includes an assessment of the market, trends, segments, and regional markets. Overview and dynamics have also been included in the report.

Attributes

Details

Report Title

Edge Artificial Intelligence Chips Market – Global Industry Analysis, Growth, Share, Size, Trends, and Forecast

Base Year

2020

Historic Data

2018–2019

Forecast Period

2021–2028

Segmentation

Functions (Inference and Training), Processor Types (GPU, CPU, ASIC, and Others), and Devices (Enterprise Devices and Consumer Devices)

Regional Scope

Asia Pacific, North America, Latin America, Europe, and Middle East & Africa

Report Coverage

Company Share, Market Analysis and Size, Competitive Landscape, Growth Factors, and Trends, and Revenue Forecast

Key Players Covered in the Report

Advanced Micro Devices, Inc.; Qualcomm Technologies, Inc.; Mythic Ltd.; Samsung Electronics Co., Ltd.; HiSilicon Technologies CO., Ltd; Alphabet Inc.; Apple Inc.; Arm Ltd.; NVIDIA Corp.; Xilinx Inc; and Intel Corp.

 

Market Segment Insights

Increased adoption drives the inference segment

Based on functions, the market is bifurcated into inference and training. The inferance enterprise segment is expected to account for a major market share during the projected timeline owing to the increased adoption of edge computing for inference purpose as lesser data to be processed while performing inference. Morever, the segment growth is further accelerated as many key players are shifiting towords the edge-based artificial intelligence computing over cloud computing.

CPU segment to grow at rapid pace

On the basis of processor types, the global edge Artificial Intelligence chipset market is segmented into graphical processing units (GPU), central processing unit (CPU), application specific integrated circuits (ASIC), and others. The CPU segment is expected to grow at a rapid pace during the forecast period attributed to the surge in adoption of CPU in consumer devices, such as smart wearables and smartphones. Furthermore, major key players have built their AI chips on core CPUs, which is driving the segment growth further. However, the ASIC segment is anticipated to expand at a substantial CAGR in the coming years due to rising use of the processors for AI related services in edge computing in inference function.

Edge Artificial Intelligence Chips Market by processor types

Consumer segment to expand at high growth rate

Based on devices, the market is bifurcated into enterprise devices and consumer devices. The consumer segment is projected to expand at high growth rate during the projected timeline owing to increasing number of AI chip deployments in smartphones and other consumer devices. Additionally, the data processing on edge AI chips also provides better security and privacy for consumer devices, which is the major driver of the segment. On the other hand, the enterprise segment is expected to expand at a robust CAGR in the coming years due to it offers various benefits to enterprises, including increased ability to collect, analyse, and store the data in devices, draw benficial insights from the data, reduce operational cost, and improved data security over devices.

North America is to constitute a key market share

In terms of region, the global edge Artificial Intelligence chips market is classified as Asia Pacific, North America, Latin America, Europe, and Middle East & Africa. North America is anticipated to constitute a key share of the market during the projected period owing to the presence of key global players and increasing government intiatives on having in-house AI applications production in the region. However, the market of Asia Pacific is anticipated to grow at a rapid pace during the forecast period due to the growing adoption of smart devices in the region and rising technological advancements from emerging economies.

Edge Artificial Intelligence Chips Market by regions

Segments

Segments Covered in the Report
The global edge Artificial Intelligence market has been segmented on the basis of

Functions

  • Inference
  • Training
Processor Types
  • GPU
  • CPU
  • ASIC
  • Others
Devices
  • Enterprise Devices
  • Consumer Devices
Regions
  • Asia Pacific
  • North America
  • Latin America
  • Europe
  • Middle East & Africa
Key Players
  • Advanced Micro Devices, Inc.
  • Qualcomm Technologies, Inc.
  • Mythic Ltd.
  • Samsung Electronics Co., Ltd.
  • HiSilicon Technologies CO., Ltd
  • Alphabet Inc.
  • Apple Inc.
  • Arm Ltd.
  • NVIDIA Corp.
  • Xilinx Inc.
  • Intel Corp.

Competitive Landscape

Key players competing in the global edge Artificial Intelligence market are Advanced Micro Devices, Inc.; Qualcomm Technologies, Inc.; Mythic Ltd.; Samsung Electronics Co., Ltd.; HiSilicon Technologies CO., Ltd; Alphabet Inc.; Apple Inc.; Arm Ltd.; NVIDIA Corp.; Xilinx Inc.; and Intel Corp. Companies have been widely engaged in strategic partnership, merger & acquisition, new product launch, and collaborations to boost their market share and acquiring new buyers.

For instance, in January 2020, Xnor.ai, a U.S.-based startup, focusing on edge-based AI tools was acquired by Apple Inc.. This acquisition was aimed at incorporating Xnor.ai’s AI-enabled image recognition tools in upcoming webcams and iphones. In April 2021, Intel launched its 3rd Gen Intel Xeon Scalable processor, which set to deliver a balanced architecture with built-in AI, improved security capabilities, and crypto acceleration.

Edge Artificial Intelligence Chips Market by key players

Table Of Content

1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Edge Artificial Intelligence Chips Market Overview
  4.1. Introduction
     4.1.1. Market Taxonomy
     4.1.2. Market Definition
  4.2. Macro-Economic Factors
     4.2.1. Industry Outlook
  4.3. Edge Artificial Intelligence Chips Market Dynamics
     4.3.1. Market Drivers
     4.3.2. Market Restraints
     4.3.3. Opportunity
     4.3.4. Market Trends
  4.4. Edge Artificial Intelligence Chips Market - Supply Chain
  4.5. Global Edge Artificial Intelligence Chips Market Forecast
     4.5.1. Edge Artificial Intelligence Chips Market Size (US$ Mn) and Y-o-Y Growth
     4.5.2. Edge Artificial Intelligence Chips Market Size (000’ Units) and Y-o-Y Growth
     4.5.3. Edge Artificial Intelligence Chips Market Absolute $ Opportunity
5. Global Edge Artificial Intelligence Chips Market Analysis and Forecast by Region
  5.1. Market Trends
  5.2. Introduction
     5.2.1. Basis Point Share (BPS) Analysis by Region
     5.2.2. Y-o-Y Growth Projections by Region
  5.3. Edge Artificial Intelligence Chips Market Size and Volume Forecast by Region
     5.3.1. North America
     5.3.2. Latin America
     5.3.3. Europe
     5.3.4. Asia Pacific
     5.3.5. Middle East and Africa (MEA)
  5.4. Absolute $ Opportunity Assessment by Region
  5.5. Market Attractiveness/Growth Potential Analysis by Region
  5.6. Global Edge Artificial Intelligence Chips Demand Share Forecast, 2019-2026
6. North America Edge Artificial Intelligence Chips Market Analysis and Forecast
  6.1. Introduction
     6.1.1. Basis Point Share (BPS) Analysis by Country
     6.1.2. Y-o-Y Growth Projections by Country
  6.2. North America Edge Artificial Intelligence Chips Market Size and Volume Forecast by Country
     6.2.1. U.S.
     6.2.2. Canada
  6.3. Absolute $ Opportunity Assessment by Country
  6.4. Market Attractiveness/Growth Potential Analysis
     6.4.1. By Country
     6.4.2. By Product Type
     6.4.3. By Application
  6.5. North America Edge Artificial Intelligence Chips Demand Share Forecast, 2019-2026
7. Latin America Edge Artificial Intelligence Chips Market Analysis and Forecast
  7.1. Introduction
     7.1.1. Basis Point Share (BPS) Analysis by Country
     7.1.2. Y-o-Y Growth Projections by Country
     7.1.3. Latin America Average Pricing Analysis
  7.2. Latin America Edge Artificial Intelligence Chips Market Size and Volume Forecast by Country
      7.2.1. Brazil
      7.2.2. Mexico
      7.2.3. Rest of Latin America
   7.3. Absolute $ Opportunity Assessment by Country
  7.4. Market Attractiveness/Growth Potential Analysis
     7.4.1. By Country
     7.4.2. By Product Type
     7.4.3. By Application
  7.5. Latin America Edge Artificial Intelligence Chips Demand Share Forecast, 2019-2026
8. Europe Edge Artificial Intelligence Chips Market Analysis and Forecast
  8.1. Introduction
     8.1.1. Basis Point Share (BPS) Analysis by Country
     8.1.2. Y-o-Y Growth Projections by Country
     8.1.3. Europe Average Pricing Analysis
  8.2. Europe Edge Artificial Intelligence Chips Market Size and Volume Forecast by Country
     8.2.1. Germany
     8.2.2. France
     8.2.3. Italy
     8.2.4. U.K.
     8.2.5. Spain
     8.2.6. Russia
     8.2.7. Rest of Europe
  8.3. Absolute $ Opportunity Assessment by Country
  8.4. Market Attractiveness/Growth Potential Analysis
     8.4.1. By Country
     8.4.2. By Product Type
     8.4.3. By Application
  8.5. Europe Edge Artificial Intelligence Chips Demand Share Forecast, 2019-2026
9. Asia Pacific Edge Artificial Intelligence Chips Market Analysis and Forecast
  9.1. Introduction
     9.1.1. Basis Point Share (BPS) Analysis by Country
     9.1.2. Y-o-Y Growth Projections by Country
     9.1.3. Asia Pacific Average Pricing Analysis
  9.2. Asia Pacific Edge Artificial Intelligence Chips Market Size and Volume Forecast by Country
     9.2.1. China
     9.2.2. Japan
     9.2.3. South Korea
     9.2.4. India
     9.2.5. Australia
     9.2.6. Rest of Asia Pacific (APAC)
  9.3. Absolute $ Opportunity Assessment by Country
  9.4. Market Attractiveness/Growth Potential Analysis
     9.4.1. By Country
     9.4.2. By Product Type
     9.4.3. By Application
  9.5. Asia Pacific Edge Artificial Intelligence Chips Demand Share Forecast, 2019-2026
10. Middle East & Africa Edge Artificial Intelligence Chips Market Analysis and Forecast
  10.1. Introduction
     10.1.1. Basis Point Share (BPS) Analysis by Country
     10.1.2. Y-o-Y Growth Projections by Country
     10.1.3. Middle East & Africa Average Pricing Analysis
  10.2. Middle East & Africa Edge Artificial Intelligence Chips Market Size and Volume Forecast by Country
     10.2.1. Saudi Arabia
     10.2.2. South Africa
     10.2.3. UAE
     10.2.4. Rest of Middle East & Africa (MEA)
  10.3. Absolute $ Opportunity Assessment by Country
  10.4. Market Attractiveness/Growth Potential Analysis
     10.4.1. By Country
     10.4.2. By Product Type
     10.4.3. By Application
  10.5. Middle East & Africa Edge Artificial Intelligence Chips Demand Share Forecast, 2019-2026
11. Competition Landscape
  11.1. Global Edge Artificial Intelligence Chips Market: Market Share Analysis
  11.2. Edge Artificial Intelligence Chips Distributors and Customers
  11.3. Edge Artificial Intelligence Chips Market: Competitive Dashboard
  11.4. Company Profiles (Details: Overview, Financials, Developments, Strategy)
     11.4.1. Advanced Micro Devices, Inc.
     11.4.2. Qualcomm Technologies, Inc.
     11.4.3. Mythic Ltd.
     11.4.4. Samsung Electronics Co., Ltd.
     11.4.5. HiSilicon Technologies CO., Ltd
     11.4.6. Alphabet Inc.
     11.4.7. Apple Inc.

Methodology

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