Artificial Intelligence Chipsets Market

Global Artificial Intelligence Chipsets Market Size (2023 to 2028)

The global artificial intelligence chipsets market is expected to be worth 7.82 billion USD in 2023. It is expected to grow at a CAGR of 40.32% during the forecast period and reach a value of 42.54 billion USD by 2028.

Artificial intelligence (AI) chipsets are AI-enabled silicon chipsets that deliver high processing capabilities to connected devices like laptops, smart wearables, and smartphones. Artificial intelligence chips include graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and application-specific integrated circuits (ASICs). General-purpose circuits, such as central processing units (CPUs), can also be used for some basic AI tasks, though CPUs are becoming less and less helpful as AI improves. The Chipset is a collection of electronic components in integrated circuitry that allows data to flow between peripherals, processors, and memory. It's usually made to work with a certain set of microprocessors. The artificial intelligence chipset is specifically designed to help AI processes run more effectively by using analog circuitry for low-precision arithmetic, which saves power and space. This chipset can help with artificial neural networks, machine learning, and machine vision. Increased government participation in the protection of vital infrastructure and sensitive data has led to the use of artificial intelligence (chipsets) in security applications in recent years. Government support, particularly in the United States, is fuelling the growth of AI chipsets in the automobile sector. Artificial intelligence chipsets are used in a range of applications, including quantum computing, fraud detection, risk management, and real-time data applications.

Global Artificial Intelligence Chipsets Market Drivers:

Increasing adoption of deep learning and neural networks are the driving factors of the Global Artificial Intelligence Chipsets Market. Deep learning is a branch of machine learning and artificial intelligence that uses neural networks to learn unsupervised from unstructured data. Although deep learning has been around for a while, it became popular after Google's AI robot player beat Lee Sedol in the game AlphaGo. Deep learning has since been hailed as a powerful tool for businesses in need of actionable insights and automated reactions to massive amounts of unstructured data. The progress and use of machine learning and deep learning are responsible for much of the advanced automation found in enterprise AI platforms. Neural networks are algorithms that use a mechanism that mimics the human brain to recognize underlying relationships in data sets. To increase exact modeling, Artificial-Neural-Networks (ANN) are replacing classic machine-learning methods. The emergence of Quantum Computing is another major driving factor for the Global Artificial Intelligence Chipsets Market. Quantum computing is being used by businesses all around the world to solve complicated problems and perform analytical computations. For example, Google LLC's Sycamore quantum computer is one of the fastest, capable of completing a task in less than 200 seconds. As a result, the introduction of quantum computing is projected to propel the market forward. Quantum computing is also employed in a variety of applications, including fraud detection, risk management, portfolio optimization, and applications that demand rapid data response. As a result, these factors are likely to propel the worldwide AI chipsets market forward.

Global Artificial Intelligence Chipsets Market Restraints:

The Lack of a skilled AI workforce or the team to handle and inherit the Knowledge is the major restraining factor that is likely to hamper the Global Artificial Intelligence Chipsets Market. Companies need a workforce with certain skill sets to create, manage, and successfully integrate AI systems because AI is a complicated system. People working with AI systems, for example, should be familiar with technologies such as cognitive computing, machine learning, deep learning, and image recognition. In addition, integrating AI technologies into current systems is a complex operation that necessitates substantial data processing in order to emulate human brain behavior. Even a little inaccuracy can cause the system to fail or have a negative impact on the desired outcome. Furthermore, AI's progress is being stifled by the lack of professional standards and certifications in AI/ML technology.

REPORT COVERAGE:

This research report on the global artificial intelligence chipsets market has been segmented and sub-segmented into the following categories.

Artificial Intelligence Chipsets Market - By Chipset Type:

• GPU.
• ASIC.
• FPGA.
• CPU.

GPU is predicted to possess the dominant share within the Global computing Chipsets Market during the Forecast Period. The card that powers a graphics card is thought as a graphics chipset. A graphics card could be a component inside a computer that interprets graphics signals from the motherboard and sends them to the display connected thereto.

ASIC is predicted to possess a prominent share within the Global AI Chipsets Market During the Forecast Period. An application-specific microcircuit may be a chip that has been modified for a particular use instead of being designed for general usage. An ASIC could be a chip that will be utilized in a digital voice recorder or a high-efficiency video encoder, for instance.

Artificial Intelligence Chipsets Market - By Application:

• Natural Language Processing.
• Robotics.
• Computer Vision.
• Network Security.

Natural Language Processing is anticipated to own the dominant share within the Global AI Chipsets Market during the Forecast Period. Linguistic communication processing enables computers to converse with humans in their native tongue and scales other language-related activities. NLP allows computers to read text, hear voice, analyse it, gauge sentiment, and identify which bits are significant, for example.

Artificial Intelligence Chipsets Market - By Technology:

• System-On-Chip.
• System-In-Package.
• Multi-Chip Module.

System-On-Chip is predicted to possess the dominant share within the Global AI Chipsets Market during the Forecast Period. A computer circuit that integrates all or most of the components of a computer or other electronic system is understood as a system on a chip. On one substrate or microchip, these components nearly invariably include a central processing unit (CPU), memory interfaces, on-chip input/output devices, and auxiliary storage interfaces, as well as other components like radio modems and a graphics processing unit (GPU). It should include functions for digital, analog, mixed-signal, and often signal processing.

Artificial Intelligence Chipsets Market - By Processing Type:

• Edge.
• Cloud.

Edge is expected to have the dominant share in the Global Artificial Intelligence Chipsets Market during the Forecast Period. In the next years, the market is likely to be fuelled by the growth of connected car and autonomous vehicle infrastructure, as well as the demand for lightweight systems and frameworks.

Cloud is expected to register the highest CAGR in the Global Artificial Intelligence Chipsets Market during the Forecast Period. The expanding adoption of cloud computing in data centers is fuelling the segment's growth by lowering operational costs, improving infrastructure management, and increasing operational efficiency.

Artificial Intelligence Chipsets Market - By Industry Vertical:

• Media & Advertising.
• BFSI.
• IT & Telecom.
• Retail.
• Healthcare.
• Automotive & Transportation.

Healthcare is expected to have the dominant share in the Global Artificial Intelligence Chipsets Market during the Forecast Period. The demand for AI-enabled healthcare equipment is growing as routine check-up medical tools, smart wearable gadgets, and personal care goods become more popular. The breakout of the new coronavirus, on the other hand, has enhanced the use of artificial learning technology in the field.

Artificial Intelligence Chipsets Market - By Region:

• North America
• Europe
• Asia-Pacific
• Latin America
• Middle East and Africa

North America is expected to have the dominant share in the Global Artificial Intelligence Chipsets Market during the Forecast Period. North America's market expansion is projected to be fuelled by rising government R&D investments and the availability of established IT infrastructure.

Asia-Pacific is expected to have a prominent share in the Global Artificial Intelligence Chipsets Market during the Forecast Period. The region's rising economies, such as South Korea and India, have a lively and powerful start-up ecosystem backed by an increasing number of talented workers, which fuels the market's growth.

Europe is expected to register the highest CAGR in the Global Artificial Intelligence Chipsets Market during the Forecast Period. As a result of the availability of a large number of AI solution vendors. European governments are concentrating their R&D efforts and accelerating the deployment of AI technologies.

KEY MARKET PLAYERS:

NEC Corporation, Korea Electronic Certification Authority, Inc. (Ai Brain, Inc.), Nvidia Corporation, NXP Semiconductors N.V., Qualcomm Incorporated, Samsung Electronics Co. Ltd., Shanghai Think-Force Electronic Technology Co. Ltd., SK Hynix, Inc., Softbank Group Corp. (Arm Holdings Plc), Taiwan Semiconductor Manufacturing Company Limited

RECENT HAPPENINGS IN THE MARKET:

• Silicon Labs Unveils New Wireless Chipsets that are Matter-Ready. The BG24 and MG24 SoCs from Silicon Labs are Matter-ready and enable numerous wireless protocols for smart home applications.
• At Qualcomm's annual Snapdragon Tech Summit, the company unveiled the Snapdragon 8 Gen 1', a new flagship smartphone processor. In the Snapdragon 8 Gen 1, Qualcomm promises significant advancements in performance, camera technology, AI capabilities, security, and 5G speed.