The 2023 report on the “Artificial Intelligence (AI) Hardware Market” presents a thorough and accurate examination of different factors pertaining to business expansion prospects, challenges, risk elements, and trends in all geographical regions. This report delivers current information on the most recent technological developments, along with SWOT and PESTLE analysis, and valuable insights on market size.
Global Artificial Intelligence (AI) Hardware Market is valued at approximately USD 9.8 billion in 2019 and is anticipated to grow with a healthy growth rate of more than 37.5% over the forecast period 2020-2027. Artificial intelligence (AI) has been one of the most appealing technology in recent years. Artificial intelligence, is the simulation of human intelligence processes by machines, especially computer systems.
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According to data from the U.S. Bureau of Economic Analysis and the U.S. Census Bureau, the goods and services deficit increased by $1.9 billion from $68.7 billion in January 2023 to $70.5 billion in February. The increase in the goods and services deficit in February was due to a $2.7 billion increase in the goods deficit to $93.0 billion and a $0.8 billion increase in the services surplus to $22.4 billion. Compared to the same period in 2022, the goods and services deficit has dropped this year by $35.5 billion, or 20.3%. $49.5 billion or 10.8% more was exported. 2.2% or $14.0 billion more was spent on imports.
This form of technology can be implemented in distinct hardware as well as software. Usually, artificial intelligence (AI) hardware reduces the need for developing ideal hardware to stimulate the demand for artificial intelligence applications. The AI hardware has three major parts, including computer, storage, and networking. Since the last few years, the computer has made the most substantial progress.
The other two areas (i.e. storage and networking) are not as advanced yet to see the breakthrough concerning AI applications. Furthermore, the rise in demand for big data and analytics, technological development in AI hardware, along with the high adoption of AI hardware in banking and IT & Telecom are the few factors responsible for the CAGR of the market during the forecast period.
For instance, as per the New Vantage Partners, the number of firms investing more than USD 500 million annually in big data has grown from 12.7% in 2018 to 21.1% in 2019. Also, , according to the Worldwide Semiannual Big Data and Analytics Spending Guide released by International Data Corporation (IDC), businesses are spending USD 187 billion on big data and analytics in 2019. This, in turn, is expected to strengthen the market growth all over the world.
Although, the recent outbreak of the COVID-19 crisis has led to rise in utility & adoption for Artificial Intelligence (AI) Hardware, as they help in screening, tracking, and predicting the current and future patients with novel coronavirus infections. Therefore, this factor can create lucrative opportunities for the global AI hardware market in the forthcoming years. However, the limited availability of expertise and R&D activities are the major factors restraining the market growth over the forecast period of 2020-2027.
The regional analysis of the global Artificial Intelligence (AI) Hardware market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America is the leading/significant region across the world in terms of market share owing to the early adoption of artificial intelligence technology, and the large presence of a new technology-based solution vendors in the region. Whereas Asia-Pacific is anticipated to exhibit the highest growth rate / CAGR over the forecast period 2020-2027. Factors such as the rising investment for deploying AI technology in different end-use industries, coupled with a growing demand for big data and analytics would create lucrative growth prospects for the Artificial Intelligence (AI) Hardware market across the Asia-Pacific region.
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Major market player included in this report are:
Advanced Micro Devices, Inc.
Huawei Technologies Co., Ltd.
International Business Machines (IBM) Corp.
Intel Corp.
MediaTek Inc.
Nvidia Corporation
Qualcomm Inc.
Samsung Electronics Co., Ltd.
Xilinx Inc.
Rockwell Automation, Inc.
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 eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available 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 Technology:
Machine Learning
Computer Vision
Natural Language Processing
Expert Systems
By Computation Type:
Central Processing Unit (CPU)
Graphics Processing Unit (GPU)
Application-Specific Integrated Circuits (ASICs)
Others
By End-User:
Banking, Financial Services and Insurance (BFSI)
IT and Telecom
Healthcare
Automotive
Aerospace and defense
Retail
Others
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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
Rest of the World
Market Dynamics:
- Surging air traffic: As the global aviation industry continues to expand, there is a corresponding increase in market demand.
- Heightened emphasis on safety and reliability: The aerospace and defense sector places significant importance on ensuring safety and reliability, which drives the need for top-notch market offerings.
- Growing commitment to environmental sustainability: The aerospace and defense industry is increasingly dedicated to reducing its carbon footprint, resulting in the adoption of sustainable aviation fuels.
- Escalating globalization: The growth of international trade and travel propels the demand for market solutions.
- Increasing desire for private air transportation: The rising number of affluent individuals and their preference for exclusive air travel are generating fresh opportunities in the market.
- Expanding utilization of digital fuel management systems: The integration of digital fuel management systems facilitates efficient fuel consumption and reduces associated costs.
- Advancements in fuel cell technology: Ongoing developments in fuel cell technology unlock new possibilities for the production of sustainable market alternatives.
- Mounting demand for air cargo transportation: The flourishing e-commerce sector fuels an increasing need for air cargo transportation, thereby driving the demand for market offerings.
- Rising defense budgets: Governments worldwide are augmenting their defense spending, leading to heightened market demand.
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