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Artificial Intelligence (AI) Chipsets Market Analysis- Industry Size, Share, Research Report, Insights, Covid-19 Impact, Statistics, Trends, Growth and Forecast 2023-2030

Published Date: October, 2022
No of Pages: 159
Delivery Format: PDF+Excel

$2,950.00

The global Artificial Intelligence (AI) Chipsets market is estimated to develop at a CAGR of over 38% over the period 2019–2024. The AI Chipsets market research includes an overview of the latest trends, drivers, and challenges in the global AI Chipsets market. The research covers a deep segmentation of the market by technology, application, and geography. The global AI chip market is very competitive, with a large number of participants. The top participants in the market are Qualcomm, Intel, NVIDIA, Xilinx, and IBM. The report provides a detailed analysis of the competitive landscape of the market, with a focus on the top competitors and their significant growth strategies. The research also provides an analysis of the important trends, drivers, and challenges in the global AI chip market.

Artificial intelligence (AI) is one of the most disruptive technologies of our time. It has the potential to change practically every industry, from healthcare and transportation to manufacturing and banking. While many believe that AI will bring significant benefits to society, there are also concerns about its ability to displace jobs and create inequality.

Artificial Intelligence (AI) Chipsets Market Report Scope and Segmentation
ATTRIBUTESDETAILS
ESTIMATED YEAR2023
BASE YEAR2022
FORECAST YEAR2030
HISTORICAL YEAR2017-2022
UNITValue (USD Million/Billion)

 

One of the major components of AI is the AI chipset, which is a specialised piece of hardware that enables a device to do AI-related tasks. While AI chipsets are not necessary for all AI applications, they can considerably increase the performance of AI-enabled devices.

The global AI chipsets market is estimated to increase from $2.6 billion in 2020 to $11.6 billion by 2025, at a CAGR of 33.8% over the forecast period. The primary drivers of this market growth are the increasing demand for AI-enabled products and the requirement for quicker and more efficient AI processing.

However, the high cost of AI chipsets and the lack of standardisation are the key limitations of this market.

Artificial Intelligence (AI) Chipset Market Opportunities

The global Artificial Intelligence (AI) Chipsets market is estimated to develop at a CAGR of roughly 33.5% during the forecast period of 2020 to 2027.

Artificial intelligence (AI) is the process of programming computers to make decisions for themselves. This involves learning how to accomplish things that humans do, such as interpreting natural language and identifying objects. AI chipsets are employed in a number of applications, such as autonomous vehicles, medical diagnosis, and industrial robots.

The increasing need for AI applications in various sectors is the primary factor driving the growth of the AI chipset market. Also, the increased adoption of AI technology in smart home appliances, consumer electronics, and wearables is likely to fuel the growth of the AI chipset market over the forecast period. However, the high cost of AI chipsets is the key factor inhibiting the growth of the AI chipset market.

The AI chipset market is divided based on type, application, and geography. Based on type, the market is divided into general-purpose AI chipsets and application-specific AI chipsets. Based on application, the market is divided into automotive, consumer electronics, healthcare, industrial, and others. Geographically, the AI chipsets market is segmented into North America, Europe, Asia Pacific, and Rest of the World (RoW) (RoW).

Some of the main players participating in the AI chipset market include Intel Corporation, NVIDIA Corporation, Qualcomm Technologies, Inc., Samsung Electronics Co., Ltd., MediaTek Inc., Xilinx, Inc., IBM Corporation, Google LLC, and Microsoft Corporation.

Based on type, the AI chipsets market is segmented into general-purpose AI chipsets and application-specific AI chipsets. The general-purpose AI chipset category is predicted to expand at the highest CAGR over the projection period. This is due to the increased demand for these chipsets from numerous end-use industries, such as automotive, consumer electronics, and healthcare.
Artificial Intelligence (AI) Chipset Market Restraints

The key restriction to the expansion of the AI chip market is the dearth of competent manpower. The need for AI Chipset is increasing day by day however the lack of availability of trained people is restricting the market growth. The third restriction for the AI chip market is the high cost of the chip.
Artificial Intelligence (AI) Chipsets Market Key Trends

The global artificial intelligence (AI) chipset market is predicted to develop at a CAGR of over 40% over the period 2019–2024. The increasing demand for AI-enabled devices, the necessity for powerful processors, and the dropping cost of AI chipsets are the primary drivers driving the growth of the AI chipset market.

AI chipsets are utilised in numerous applications, such as image identification, facial recognition, speech recognition, and machine learning. They are also used in robots, drones, and autonomous vehicles. The automotive industry is one of the biggest end-users of AI chipsets.

The leading participants in the AI chipset market are NVIDIA Corporation, Qualcomm Technologies, Inc., IBM Corporation, Google LLC, and Intel Corporation. These players are focused on offering AI chipsets with improved performance and lower power consumption. They are also investing in R&D to develop new AI chips.

The following are the significant trends in the AI chipset market:

– Increasing demand for AI-enabled devices: The increasing demand for AI-enabled devices is one of the significant trends in the AI chipsets market. The need for these devices is expanding due to the increasing use of AI in many applications, such as image identification, facial recognition, and speech recognition.

The requirement for powerful processors is another important development in the AI chipset industry. The processors used in AI-enabled devices need to be powerful enough to manage the massive amounts of data created by these devices.

– Lowering cost of AI chipsets: The declining cost of AI chipsets is another key trend in the AI chipsets industry. The cost of these chipsets has been falling due to increased competition in the market and improvements in technology.
Artificial Intelligence (AI) Chipset Market Drivers

Artificial intelligence (AI) is one of the most revolutionary technologies of our time. Its ability to enable computers to learn and make decisions on their own has led to significant breakthroughs in the sector, with corporations and organisations across industries taking notice.

One of the major components of AI is the AI chipset, which helps fuel the numerous AI apps and services that we use today. In this blog, we’ll take a look at the AI chipset market and some of the primary drivers underlying its rise.

The global AI chipset market is predicted to expand from $2.5 billion in 2019 to $10.8 billion by 2024, at a CAGR of 32.8% throughout the forecast period, according to a report by MWR

Several factors are driving the growth of the AI chipset market, including the increasing demand for AI-enabled devices, the necessity for high computing power for AI applications, and the availability of new AI-specific chipsets.

One of the primary drivers of the AI chipset market is the increasing demand for AI-enabled products. With the rapid progress of AI technology, there has been a corresponding increase in the number of AI-enabled products, such as smartphones, tablets, wearables, and drones.

These gadgets are outfitted with AI chipsets that enable them to do numerous functions, such as voice recognition, image identification, and object detection. The increasing demand for AI-enabled products is driving the growth of the AI chipset market.

Another driver of the AI chipset industry is the demand for high computational power for AI applications. AI applications require a substantial amount of computational power for training and inference.

Traditional CPUs are not well-suited for AI applications due to their lack of parallel processing capabilities. AI chipsets, such as GPUs and FPGAs, offer tremendous computational power and parallel processing capabilities, which make them perfect for AI applications.
Artificial Intelligence (AI) Chipsets Market COVID-19 Impact

The breakout of the COVID-19 pandemic has had a tremendous impact on the worldwide semiconductor market. The market is likely to suffer a considerable reduction in sales in 2020 due to the epidemic. The market is estimated to recover in 2021, with a CAGR of 9.1% during the forecast period.

The global AI chipsets market is estimated to increase at a CAGR of 45.1% during the forecast period. The market is anticipated to reach USD 45.8 billion by 2025, up from USD 5.8 billion in 2020. The growth of the AI chipset market is primarily driven by the increasing demand for AI-enabled devices, the increased need for AI in edge computing, and the increasing investment by major tech giants in AI. However, the high cost of AI chipsets is projected to hinder the growth of the market to a certain extent.

The advent of the COVID-19 pandemic is predicted to have a substantial impact on the AI chipset market. The market is likely to suffer a drop in 2020 due to the epidemic. The market is estimated to recover in 2021 and increase at a CAGR of 45.1% during the forecast period.

The global AI chipsets market is split into type, application, end-use industry, and geography.

On the basis of type, the market is classified into CPUs, GPUs, FPGAs, and ASICs.

On the basis of application, the market is split into machine learning, natural language processing, computer vision, and others.

On the basis of end-use industries, the market is split into automotive, healthcare, consumer electronics, aerospace and defence, and others.

On the basis of region, the market is split into North America, Europe, Asia Pacific, the Middle East and Africa, and South America.

The market in North America is predicted to develop at the greatest CAGR during the forecast period. The market in North America is driven by the presence of significant AI chip makers in the region, the early adoption of AI technology, and the increasing investment by big tech giants in AI.
Artificial Intelligence (AI) Chipsets Market: Key Industry Developments

The global artificial intelligence (AI) chipsets market is estimated to increase at a CAGR of 36.4% during the forecast period, from USD 3.4 billion in 2020 to USD 30.7 billion by 2025. The primary reasons driving the growth of the AI chipset market are the increased need for AI in various industry applications, the increasing availability of AI-enabled devices, and increasing venture capital investments in AI start-ups.

However, the high cost of AI chipsets and the shortage of a qualified workforce are the primary factors inhibiting the growth of the AI chipset market.

The leading players in the AI chipset market are Google (US), NVIDIA (US), Intel (US), Qualcomm (US), Xilinx (US), IBM (US), Samsung (South Korea), MediaTek (Taiwan), and Microsoft (US). These firms have taken various techniques to enhance their market share and expand their geographical presence.

The study segments the global AI chipset market by offering, device type, application, and geography.

By offering, the market is split into hardware and software. The hardware segment is predicted to increase at a greater CAGR during the projection period.

By device type, the market is split into smartphones, PCs and laptops, drones, robots, and others. The smartphone sector is predicted to expand at the highest CAGR during the projection period.

By application, the market is split into image recognition, voice recognition, natural language processing, and others. The image recognition segment is predicted to expand at the greatest CAGR during the projection period.

By geography, the AI chipset market is split into North America, Europe, Asia Pacific, the Middle East and Africa, and South America. North America is predicted to maintain the biggest market share over the projection period.

The leading players in the AI chipset market are Google (US), NVIDIA (US), Intel (US), Qualcomm (US), Xilinx (US), IBM (US), Samsung (South Korea), MediaTek (Taiwan), and Microsoft (US). These firms have taken various techniques to enhance their market share and expand their geographical presence.
Artificial Intelligence (AI) Chipsets Market: Future Outlook

The global artificial intelligence (AI) chipset market is predicted to develop at a CAGR of over 34% over the period 2019–2024. The primary factors driving the growth of the market are the rising demand for AI-enabled products and services and the increasing usage of AI in various business verticals.

The AI chipset market is classified by type, application, end-user, and geography. By type, the market is classified into CPU, GPU, FPGA, and ASIC. By application, the market is divided into computer vision, natural language processing, predictive analytics, and others. By end-user, the market is segmented into consumer electronics, automotive, healthcare, and others. By geography, it is evaluated throughout North America, Europe, Asia-Pacific, and LAMEA.

The primary reasons supporting the growth of the AI chipset market are the increased demand for AI-enabled products and services and the increasing usage of AI in various industrial verticals. Moreover, the government’s backing and initiatives to develop AI across the globe are projected to generate profitable chances for market expansion. However, the shortage of experienced professionals is predicted to restrain the market’s growth.

The AI chipset market is classified by type, application, end-user, and geography.

By type, the market is classified into CPU, GPU, FPGA, and ASIC.

By application, the market is divided into computer vision, natural language processing, predictive analytics, and others.

By end-user, the market is segmented into consumer electronics, automotive, healthcare, and others.

By geography, it is evaluated throughout North America, Europe, Asia-Pacific, and LAMEA.

SEGMENTS COVERED
  • By End-User
  • By Technology
  • By Geography
NVIDIA Corporation, Qualcomm Technologies Inc, Advanced Micro Devices Inc, Alphabet Inc., Intel Corporation, Apple Inc., Mythic Ltd., Baidu
SEGMENTS COVERED
  • By End-User
  • By Technology
  • By Geography

NVIDIA Corporation, Qualcomm Technologies Inc, Advanced Micro Devices Inc, Alphabet Inc., Intel Corporation, Apple Inc., Mythic Ltd., Baidu

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