AI Chipsets Market Share, Analysis, Size, Prominent Players, and Forecast 2032

The research study conducted by Report Ocean on the "AI Chipsets Market" spans over 100 pages and delves into various facets of this market. It analyses the business strategies adopted by emerging industry players, examines the geographical scope, dissects market segments, evaluates the product landscape, and investigates price and cost structures. This research report facilitates market segmentation based on the latest Market trends, geographical market, and technological advancements. Each section of the report is meticulously prepared to scrutinize key aspects of the market. Moreover, it includes a detailed analysis of current applications, comparing them while focusing on opportunities, threats, and conducting a competitive analysis of major companies.

AI Chipsets Market is valued at approximately USD 8.14 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 39% over the forecast period 2022-2029. AI Chipsets is an integrated circuit specialized for training and running neural networks, with the AI software architecture. It has the capability to perform demanding deep learning tasks such as object detection and segmentation in real time with minimal power consumption. The AI Chipsets market is expanding because of factors such emergence of quantum computing aid market. It's an oligopolistic market dominated by IBM Corporation, Intel Corporation, Samsung Semiconductor (Samsung Electronics Co. Ltd) and Huawei Technologies Co. Ltd.

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Quantum computing is globally accepted by most enterprises. It can help solve industry technical and business challenges such as cryptography, supply chain problems, financial modelling, and drug development. These are just some of the near-term accelerating challenges that classical computer technology must face in today's approaches. For example, Google LLC's Sycamore quantum computer is the fastest computer and can complete a task in about 200 seconds. Technologies such as artificial intelligence, machine learning, computer vision, big data, and AR/VR make quantum computing possible. A better understanding of quantum computing will increase the demand for AI chipsets and drive the growth of the industry. According to Statista, the revenue generated by the global quantum computing market was 412 million USD in 2020, it is expected to be increased to 8.6 billion USD by the time of 2027. Moreover, the rising adoption of cloud-based solutions and increased focus on human-aware AI systems is expected to boost the growth of the AI Chipsets market in the forecasting years. However, the lack of skilled ai potential workforce stifles market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global AI Chipsets Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. Asia Pacific dominated the market in terms of revenue, owing to the dominance of branded products and the region's increasing technological prevalence. In June 2019, Prime Minister Shinzo Abe announced plans to train 250,000 people a year in AI skills by 2025 for the purpose of human capital development. North America is expected to grow with the highest CAGR during the forecast period, owing to factors such as rising geriatric and target populations, an increase in the number of collaborations for development, geographic expansion of key players, and active participation of government and nonprofits organizations in the market space.

Major market players included in this report are:
Intel Corporation

Huawei Technologies Co. Ltd

NVIDIA Corporation

Micron Technology Inc.

International Business Machine Corporation

Advanced Micro Devices Inc. (AMD)

Xilinx Inc.

Graphcore

Samsung Semiconductor (Samsung Electronics Co. Ltd)

Media Tek Inc

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Recent Developments in the Market:
May 2022 - Intel introduces two new deep learning processors for instruction and inference: Habana Gaudi2 and Habana GrecoTM. These revolutionary processors provide customers with a highly efficient, high-performance deep learning computing option for concurrent training applications and inference installations in data centers, reducing the barrier to entry for AI for organizations of all sizes. Closing the gap in the market by lowering.
February 2022 - Celestial AI, an AI accelerator company with its own hardware and software for machine learning chipsets, announced a $56 million Series A investment. The new funding will be used for product development and signing with strategic suppliers, including Broadcom.
January 2022 - Nvidia and AMD have announced that the US government has introduced new restrictions banning China and Russia from high-end AI chips.
March 2021 - Intel, in collaboration with the Central Board of Secondary Education (CBSE), has launched the AI for All initiative to develop a fundamental understanding of artificial intelligence in various industries.

Report Coverage: Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends

Segments Covered: Component, Application, Region

Regional Scope: North America; Europe; Asia Pacific; Latin America; Rest of the World

Customization Scope: Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players.

The detailed segments and sub-segment of the market are explained below:
By Component:

Central Processing Unit (CPU)

Graphics Processing Unit (GPU)

Neural Network Processor (NNP)

Other Components

By Application:

Consumer Electronics

Automotive

Healthcare

Automation and Robotics

Other Applications

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By Region:

North America

U.S.

Canada

Europe

UK

Germany

France

Spain

Italy

ROE

Asia Pacific

China

India

Japan

Australia

South Korea

RoAPAC

Latin America

Brazil

Mexico

RoLA

Rest of the World

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Key Questions Answered in the Market Report:
• How did the COVID-19 pandemic have an impact on the adoption of via a range of pharmaceutical and existence sciences companies?
• What is the outlook for the affect market all through the forecast length 2023-2032?
• What are the key developments influencing the have an impact on market? How will they have an impact on the market in short-, mid-, and long-term duration?
• What is the give up person appreciation toward?
• What are the key elements impacting the have an effect on market? What will be there have an impact on in short-, mid-, and long-term duration?
• What are the key possibilities areas in the influence market? What is their workable in short-, mid-, and long-term duration?
• What are the key techniques adopted via groups in the have an effect on market?
• What are the key utility areas of the influence market? Which utility is predicted to keep the very best increase attainable all through the forecast duration 2023-2033?
• What is the favoured deployment mannequin for the impact? What is the boom conceivable of quite a number deployment fashions existing in the market?
• Who are the key cease customers of pharmaceutical quality? What is their respective share in the affect market?
• Which regional market is predicted to maintain the easiest boom possible in the have an impact on market at some stage in the forecast length 2023-2032?
• Which are the key gamers in the have an impact on market?

Growth Hampering Factors in the Market:
• Environmental regulations: Stricter environmental regulations on the production and use of fossil fuels can limit the availability and use of traditional market.
• Safety concerns: Safety concerns regarding the storage and transportation of can limit their use.
• Supply chain disruptions: Disruptions in the global supply chain due to natural disasters, pandemics, or other factors can impact the availability and cost of market.
• Security concerns: Security concerns regarding the transportation and storage of market can limit their use and availability.
• Technological obsolescence: Advances in technology can make existing systems obsolete, leading to reduced demand.
• Competition from alternative fuels: The development of alternative fuels such as biofuels and hydrogen-based fuels can compete with traditional market.
• Volatility in oil prices: Fluctuations in oil prices can affect the cost of market, making it difficult for industry players to predict and plan for costs.
• Economic downturns: Economic downturns can result in reduced demand for air travel and air cargo transportation, leading to a reduction in demand for market.
• Geopolitical tensions: Political instability and tensions between nations can impact the global supply chain for market, leading to supply disruptions and price fluctuations.

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