Artificial Intelligence Chip Market

Artificial Intelligence Chip Market Research, 2032

The global artificial intelligence chip market was valued at $14.9 billion in 2022, and is projected to reach $383.7 billion by 2032, growing at a CAGR of 38.2% from 2023 to 2032.

An AI chip refers to a specialized integrated circuit tailored for efficient and fast execution of AI tasks. These chips are purposefully crafted to expedite intricate algorithmic calculations, crucial for various AI applications. They harness parallel processing abilities, unique neural network architectures, and optimized memory structures to achieve remarkable performance improvements compared to general-purpose processors. AI chips play a pivotal role that propel AI technology forward, enabling real-time inference and training for diverse applications.

Artificial Intelligence Chip Industry find practical utility across a broad spectrum of industries and applications. In the realm of autonomous vehicles, they drive tasks such as identifying objects, merging sensor data, and making decisions, thus bolstering safety and enabling self-driving capabilities. In healthcare, AI chips are instrumental in analyzing medical images, facilitating diagnoses from X-rays, MRIs, and CT scans. Language-related AI functions, such as voice recognition and language translation, owe their functionality to AI chips, leading to advances in virtual assistants and instantaneous language translation tools. Moreover, AI chips enhance the efficiency of financial services by enabling algorithmic trading, fraud detection, and risk assessment.

AI chips cater to a diverse array of end users spanning various sectors. Within the tech industry, companies creating AI-centric products and services, such as smartphones featuring AI-powered cameras or smart speakers with voice-activated helpers, incorporate AI chips to ensure smooth user experiences. Enterprises utilize AI chips within data centers to tackle tasks such as training expansive machine learning models and refining business operations through predictive analysis. Research institutions and academia leverage AI chips to push the frontiers of AI research, delving into novel algorithms and architectures. Ultimately, consumers benefit as end users of AI chips, reaping rewards from improved products and services reliant on accelerated AI processing, such as tailored streaming recommendations or intelligent home automation in Artificial Intelligence Chip Industry.

The impact of COVID-19 on the odor sensor market has been mixed, with some segments experiencing a decrease in demand while others are seeing an increase. The market is expected to recover as the world moves towards a post-pandemic environment and demand for AI chips continues to grow in various industries.

The artificial intelligence chip market size is segmented into Chip Type, Processing Type, Technology, Application and Industry Vertical.

By chip type, the artificial intelligence chip market share is categorized into GPU, ASIC, FPGA, CPU, and others. In 2022, the CPU segment dominated the market, in terms of revenue, and ASIC segment will acquire highest CAGR during the forecast period.

By processing type, the artificial intelligence chip market growth categorized into edge and cloud. In 2022, the edge segment dominated the market, in terms of revenue, and will acquire major market share till 2032.

By technology, the market is categorized into system-on-chip, system-in-package, multi-chip module, and others. In 2022, the system-on-chip segment dominated the market, in terms of revenue, and will acquire major market share till 2032.

The applications analyzed in the study are natural language processing (NLP), robotics, computer vision, network security and others. In 2022, the natural language processing (NLP) segment dominated the market, in terms of revenue, and will acquire major market share till 2032.

The industry verticals considered in the study include media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others. In 2022, the healthcare segment dominated the market, in terms of revenue, and will acquire major market share till 2032.

Region-wise, the artificial intelligence chip Market trends are analyzed across North America (the U.S., Canada, and Mexico), Europe (UK, Germany, France, Russia, and Rest of Europe), Asia-Pacific (China, Japan, India, Australia, and Rest of Asia-Pacific), and LAMEA (Latin America, Middle East, and Africa).

Competitive Analysis

Competitive analysis and profiles of the major global artificial intelligence chip market players that have been provided in the report include Qualcomm Technologies Inc., Baidu, MediaTek Inc, NVIDIA Corporation (Mellanox Technologies), Alphabet Inc., Mythic, NXP Semiconductors, Intel Corporation, Samsung Electronics Co Ltd, Advanced Micro Devices Inc.(Xilinx Inc.), and SoftBank Corp.

Country Analysis

Country-wise, the U.S. acquired a prime share in the artificial intelligence chip market in the North American region and is expected to grow at a significant CAGR during the forecast period of 2023-2032.

In Europe, UK, dominated the artificial intelligence chip market, in terms of revenue, in 2022  and is expected to follow the same trend during the forecast period. However, the Germany is expected to emerge as the fastest-growing country in Europe's artificial intelligence chip with a CAGR of 39.3%.

In Asia-Pacific, China is expected to emerge as a significant market for the artificial intelligence chip industry, owing to a significant rise in investment by prime players and government institutions to security solutions in the region.

By LAMEA region, the Africa country garner significant market share in 2022. The LAMEA artificial intelligence chip market has been witnessing improvement, owing to the growing inclination of companies towards research and development across this region. Moreover, the Africa region is expected to grow at a high CAGR of 42.2% from 2023 to 2032.

HISTORICAL DATA & INFORMATION

The global artificial intelligence chip market forecast is highly competitive, owing to the strong presence of existing vendors. Vendors of artificial intelligence chip with extensive technical and financial resources are expected to gain a competitive advantage over their competitors because they can cater to market demands. The competitive environment in this artificial intelligence chip market outlook is expected to worsen as technological innovations, product extensions, and different strategies adopted by key vendors increase.

Key Developments/ Strategies

Qualcomm Technologies Inc., Baidu, MediaTek Inc, NVIDIA Corporation (Mellanox Technologies), Alphabet Inc., Mythic, NXP Semiconductors, Intel Corporation, Samsung Electronics Co Ltd, Advanced Micro Devices Inc.(Xilinx Inc.), and SoftBank Corp are the top companies holding a prime share in the artificial intelligence chip market. Top market players have adopted various strategies, such as product launch, acquisition, innovation, partnership, and others to expand their foothold in the Artificial Intelligence Chip Market Opportunity.

• In January 2023, NXP Semiconductors announced the launch of i.MX 95 family, the newest addition to its i.MX 9 series of applications processors. The new i.MX 95 family combines high-performance computers, immersive Arm MaliTM-powered 3D graphics, an innovative new NXP accelerator for machine learning, and high-speed data processing. This technology enables advanced applications in automotive, industrial, networking, connectivity, advanced human machine interface (HMI), and others.
• In September 2022, Kinara announced its collaboration with NXP Semiconductors. Through this collaboration, customers of NXP Semiconductors' AI-enabled product portfolio have the option to further scale their AI acceleration needs by utilizing the Kinara Ara-1 Edge AI processor for high performance inferencing with deep learning models fr AI chip technology.
• In November 2021, NXP Semiconductors announced the i.MX 93 family of applications processors designed for automotive, smart home, smart building, and smart factory applications, which leverages edge machine learning to anticipate and automate based on user needs.
• In September 2022, Intel launched the 4th, Gen IntelR. XeonR Artificial intelligence chipset. Scalable processors (Sapphire Rapids) and IntelR. Data Center GPUs. The introduced 13th Gen IntelR. CoreTM. processors based on AI offer the best gaming experience and stellar content creator performance.
• In August 2022, Intel's collaborated with Aible a cloud-based solution provider to leverage artificial intelligence and delivered rapid and measurable business impact. This deep collaboration includes engineering optimizations and an innovative benchmarking program, enhanced Aible's ability to deliver rapid results to its enterprise customers.
• In February 2022, Intel launched XeonR., which is a new dual-track roadmap of Performance-core and Efficient-core based products, moving from two optimized platforms into one common, industry-defining platform. This path maximizes performance-per-watt, segment features and Intel's overall competitiveness within the industry.
• In August 2021, Baidu announced the launch of its artificial intelligence technology with the launch of Baidu Brain. The start of mass production of its 2nd generation Kunlun AI chip, Kunlun II, and the demonstration of industrial applications using Baidu AI Cloud.
• In October 2022, Razer unveiled the highly anticipated Razer Edge 5G, designed in collaboration with Qualcomm Technologies, Inc. and Verizon. This groundbreaking collaboration introduced the dedicated 5G handheld gaming device, equipped with the latest processing power from the Snapdragon G3x and Razer's industry-leading gaming hardware.

Key Benefits For Stakeholders

• This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the artificial intelligence chip market analysis from 2022 to 2032 to identify the prevailing artificial intelligence chip market opportunities.
• The market research is offered along with information related to key drivers, restraints, and opportunities.
• Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
• In-depth analysis of the artificial intelligence chip market segmentation assists to determine the prevailing market opportunities.
• Major countries in each region are mapped according to their revenue contribution to the global market.
• Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
• The report includes the analysis of the regional as well as global artificial intelligence chip market trends, key players, market segments, application areas, and market growth strategies.

 Artificial Intelligence Chip Market Report Highlights