The article cited AMA's "Global AI Infrastructure Market Study" explored substantial growth of %. According to the report, Increasing Use of Cloud Solutions in AI Infrastructure is one of the primary growth factors for the market. An Increasing Adoption of Cloud Machine Learning Platform
is also expected to contribute significantly to the AI Infrastructure market. Overall, applications of AI Infrastructure, and the growing awareness of them, is what makes this segment of the industry important to its overall growth. The Function, such as Training, is boosting the AI Infrastructure market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.The Technology, such as Machine learning, is boosting the AI Infrastructure market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.The Deployment Model, such as On-premises, is boosting the AI Infrastructure market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.The End User, such as Enterprises, is boosting the AI Infrastructure market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.
AMAs Analyst on the Global AI Infrastructure market identified that the demand is rising in many different parts of the world as "Rising Focus on Developing Human-Aware AI Systems
". Furthermore, some recent industry insights like "In Aug 2020, Coca-Cola European Partners (CCEP) has signed a multiyear agreement with IBM to accelerate its transformation to an open hybrid cloud environment using Red Hat OpenShift and Red Hat Enterprise Linux. The move is designed to reduce its operational expenses, increase IT resiliency, and leverage analytics and Artificial Intelligence (AI) in its daily operations to bring enhanced business insights and deliver greater service to its millions of customers., and In June 2020, Intel introduced its 3rd Gen Intel® Xeon® Scalable processors and additions to its hardware and software AI portfolio, enabling customers to accelerate the development and use of artificial intelligence (AI) and analytics workloads running in data center, network and intelligent-edge environments." is constantly making the industry dynamic.
The report provides an in-depth analysis and forecast about the industry covering the following key features: o Industry outlook including current and future market trends, drivers, restraints, and emerging technologies o Analyses the Global AI Infrastructure market according to Type, Application, and regions o Analyzes the top 10 players in terms of market reach, business strategy, and business focus o Provides stakeholders insights and key drivers & trends of the market
**The market is valued based on weighted average selling price (WASP) and includes any applicable taxes on manufacturers. All currency conversions used in the creation of this report have been calculated using constant annual average 2018 currency rates.
Market Size Estimation In market engineering method, both top-down and bottom-up approaches have been used, along with various data triangulation process, to predict and validate the market size of the AI Infrastructure market and other related sub-markets covered in the study.
o Key & emerging players in the market have been observed through secondary research. o The industrys supply chain and overall market size, in terms of value, have been derived through primary and secondary research processes. o All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.
Data Triangulation The overall AI Infrastructure market size is calculated using market estimation process, the AI Infrastructure market was further split into various segments and sub-segments. To complete the overall market engineering and arriving at the exact statistics for all segments and sub-segments, the market breakdown and data triangulation procedures have been utilized, wherever applicable. The data have been triangulated by studying various influencing factors and trends identified from both demand and supply sides of various applications involved in the study. Along with this, the Global AI Infrastructure market size has been validated using both top-down and bottom-up approaches.