AI Infrastructure Market Size Bold Visions and Strategies for Epic Growth

The report examines the dynamics of the AI Infrastructure market, aiming to assess its overall value. It delves into the factors that drive growth, impede progress, present opportunities, and pose threats. The valuation of different market segments and sub-segments relies significantly on these variables explored in the research. To ensure accuracy, the research adopts methodologies such as Porter’s Five Forces model, enabling the identification of potential risks and helping in the avoidance of unfavorable financial decisions.

Global AI Infrastructure Market is valued approximately USD 38.34 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 20.59 % over the forecast period 2022-2028. Artificial intelligence(AI) infrastructure involves use of deep learning machine technology upon which organizations can built intelligent self-predictive applications that requires minimal human assistance . Increasing adoption of cloud machine learning platform is key driving factor for the growth of global AI infrastructure market. organizations are beginning to recognize value of incorporation of AI into business as it reduces cost and increases proficiency through automation of process flow.

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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.

In February 2019, IBM launched a new set of IoT solutions. The solutions team up advanced analytics and AI to aid asset-intensive companies to improve their maintenance strategies. The IoT solutions are designed with an aim to help companies to cut down the costs and risk of failure from assets such as turbines, vehicles, manufacturing robots, and mining equipment among others. Also, expanding utilization of AI Intelligence in industries like healthcare, automotive, BFSI, and tourism is expected to bolster the market growth of AI infrastructure. However, lack of AI hardware experts in the field is restraining the growth of AI infrastructure market.

The key regions considered for the Global AI Infrastructure Market study includes Asia Pacific, North America, Europe, Latin America and Rest of the World. North America dominates the market and the region is expected to continue to do so in the coming years of the forecast period. The dominance of North America is primarily due to the presence of top market players and a high level of adoption in the region. Asia Pacific market is projected to show decent growth potential on account of the presence of emerging economies.

Major market player included in this report are:

Cisco (US)

IBM (US)

Intel Corporation (US)

SAMSUNG (South Korea)

Google (US)

Microsoft (US)

Micron Technology, Inc (US)

NVIDIA Corporation (US)

Oracle (US)

Arm Limited (UK)

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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 Offering:

Hardware

Software

By Deployment

On-Premises

Cloud

Hybrid

By Technology:

Machine Learning

Deep Learning

By End-User :

Enterprises

Government Organizations

Cloud Service Provider

By Function:

Training

Inference

By Region:

North America

U.S.

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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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