Edge Artificial Intelligence Chips Market Size, Share, Trends, Growth and Forecast 2032

Edge Artificial Intelligence Chips Market Insights

According to a report from Zion Market Research, the global Edge Artificial Intelligence Chips Market was valued at USD 2.39 Billion in 2023 and is projected to hit USD 13.93 Billion by 2032, with a compound annual growth rate (CAGR) of 19.3% during the forecast period 2024-2032.

This report explores market strengths, weakness, opportunities, and threats. It also provides valuable insights into the market's growth drivers, challenges, and the future prospects that may emerge in the Edge Artificial Intelligence Chips Market industry over the next decade.

Edge Artificial Intelligence Chips Market Size And Industry Analysis

The report offers valuation and analysis of Edge Artificial Intelligence Chips market on a global as well as regional level. The study offers a comprehensive assessment of the industry competition, limitations, sales estimates, avenues, current & emerging trends, and industry-validated market data. The report offers historical data from 2018 to 2022 along with a forecast from 2024 to 2032 based on value (USD Billion).

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Edge Artificial Intelligence Chips Market: Overview

Onset of smartphones has brought a paradigm shift in the world of technology. However, users find it inconvenient and frustrating that speech to text converting functions in their smartphones does not operate if smartphone is not connected to web. Moreover, edge AI chips helps in resolving these issues of the smartphone users. Additionally, edge AI chips increase machine learning tasks on any smart equipment as compared to data center located at distant place and this will chart a profitable growth curve for edge artificial intelligence chips industry over the forecast timeline. Reportedly, Edge AI chip sales are projected to increase over double as compared to semiconductors. Furthermore, the equipment is likely to be used in consumer electronic products including tablets, smart speakers, wearables, and smartphones. In addition to this, edge AI chips find lucrative application in smart robots, smart sensors, connected things, and smart cameras.

Increasing usage of social media and e-commerce platforms has led to a massive growth in the volume of data which requires more efficient processors with the capability to perform machine learning tasks. This is an important driver for the market. AI-based chips are capable of faster processing due to enabled machine learning. Another major factor propelling the growth in the global Edge Artificial Intelligence Chips market is the ability of Edge artificial intelligence chips to eliminate or minimize the need for data transmission to the data centers or cloud station. They offer advantages like higher speed, better usability, and data privacy & security. Other important drivers are the upsurge in the development of smart homes and the rapid adoption of AI integration with various applications that are fueling market growth.

The increasing demand for enhanced data privacy and security is expected to provide new profitable opportunities leading to the rapid growth of the Edge Artificial Intelligence Chips Market. This is due to the better security capabilities of data processing on edge AI chips. Other opportunities lie in the continued development and enhancements in existing and upcoming technologies, such as 5G networks. Introducing AI chips in underdeveloped or developing countries which are witnessing good growth in the consumer electronics and automotive industry will also propel the market growth going forward. Thus, there are ample growth opportunities for the market.

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Edge Artificial Intelligence Chips Market: Growth Factors

Edge AI chips are tiny, inexpensive, generate lesser heat, and require lesser power supply. Hence, they are embedded into smartphones & robots. Additionally, edge AI chips help in eliminating the requirement of transporting large amount of data packages to distant location, thereby providing high speed, strong data security, privacy, and usability. All these aspects will steer the expansion of edge artificial intelligence chips industry over the projected timespan. Furthermore, edge AI chip helps drones in performing navigation in real-time and on-device without any internet connectivity requirement. With increase in the profit margins due to use of edge AI chips in the AI chip business, the market for edge artificial intelligence chips is anticipated to witness logarithmic expansion over the few years span. Flourishing AI chip industry will further contribute to the market value in the coming decade as it is likely to record a double-digit CAGR over the forecast timeframe.

Furthermore, edge AI chips help the end-users in unlocking their smartphones, capturing mild-blowing images through these devices, and interact with voice assistant of smartphones. Apart from this, the edge AI chips help the firms in improving their IoT applications. Furthermore, the ability of edge AI chip in gathering, interpreting, and quickly operating on big data is likely to make it more popular in video monitoring & virtual reality applications. All these aforementioned factors will steer the market size in the foreseeable future. Additionally, large-scale product penetration in drones and autonomous vehicles will steer the industry trends.

Regional Landscape

North America To Account For Major Global Market Share By 2032

The regional market growth over 2024-2032 can be credited to large-scale presence of reputed & giant manufacturers such as NVIDIA, Google, and Microsoft in the sub-continent. In addition to this, government is focusing on  developing strong AI systems and hence is investing heavily on research activities pertaining to high-end edge technologies. This will further expedite the industry scope over the upcoming timespan. Additionally, large number of edge Ai computing firms are located in the U.S. and this has made use of edge AI chips more popular in the region. Favorable government incentives for startups to create new kind of edge AI technologies along with need of adding advanced features to edge AI technology has resulted in massive penetration of edge AI chips in the sub-continent.  

Edge Artificial Intelligence Chips Market: Report Scope

Competitive Landscape

• Arm Limited
• Samsung Electronics Co., Ltd.
• Qualcomm Technologies, Inc.
• Advanced Micro Devices, Inc.
• Hi Silicon(Shanghai) Technologies CO., LIMITED
• Alphabet Inc.
• Intel Corporation
• Apple Inc.
• Mythic
• NVIDIA Corporation
• Xilinx Inc.

The global Edge Artificial Intelligence Chips Market is segmented as follows:

By Function:

• Inference
• Training

By Processor:

• CPU
• GPU
• ASIC

By Device Type:

• Consumer Devices
• Enterprise Devices

By Region

• North America
  • The U.S.
  • Canada
• Europe
  • France
  • The UK
  • Spain
  • Germany
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific
• Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
• Middle East & Africa
  • GCC
  • South Africa
  • Rest of Middle East & Africa