The Global AI Infrastructure Market size is expected to reach $122.8 billion by 2028, rising at a market growth of 24.7% CAGR during the forecast period.
Platforms for building intelligent applications that really are predictive, self-healing, and need little human interaction are known as artificial intelligence (AI) infrastructure. Innovative technologies such as Mobility, IoT, and Big Data are straining IT infrastructure. More than ever, the requirement for intelligent infrastructure is essential for maximizing the potential of AI systems. Every stage of the machine learning workflow is supported by AI infrastructure.
It enables the management and availability of computer resources for the development, testing, and deployment of AI algorithms by data engineers, data scientists, DevOps teams, and software developers. The workload is mapped to the appropriate setup of servers and virtual machines using AI infrastructure. Organizations can now concentrate on resource use, capacity planning, storage management, anomaly detection, .
The market for AI infrastructure is expanding because of rising adoption of cloud machine learning platforms in businesses and rising demand for AI hardware in strong computing data centers. The market for AI infrastructure is anticipated to grow as the use of AI technologies in vertical industries like healthcare, BFSI, automotive, and tourism increases. The market for AI infrastructure is also expanding for other reasons.
As businesses increase operational effectiveness and cut costs by automating process flows, they are coming to see the value of integrating artificial intelligence (AI) into their business operations. As a result, businesses have started utilizing autonomous processes to enhance operations and transform customer service (for instance, through chatbots driven by AI), all the while catalyzing creativity to new heights.
COVID-19 Impact Analysis
Due to the dynamic nature of cloud services and their ability to handle unanticipated surges in service demand, the COVID-19 outbreak led many enterprises to expedite their migrations to public cloud solutions. In the era of COVID-19, cloud migrations let enterprises reimagine how they run their operations. Numerous cloud providers now deliver AIaaS and MLaaS due to the increase in demand for AI services. Due to this, the healthcare sector of the cloud market had significant growth in 2020. A lot of AI and ML technology is being employed to combat COVID-19.
Market Growth Factors
Increasing Focus on Parallel Computing In AI Data Centers
In data centers, CPUs are utilized for serial computing to keep track of a number of memory regions where data and instructions are kept. A processor analyzes the instructions and data at the memory locations to perform computations in serial. The steps of a computation are logically ordered and sequential in serial computation. In addition, a processor at a data center divides a single task into a number of distinct instructions sets that are carried out in a serial fashion. This frequently causes latency issues in data centers, especially when performing AI-based calculations with large data and instruction sets.
Rising Demand for AI Software and Hardware Among Enterprises
In order to keep up with the growing volume of data created by applications, advanced AI solutions frequently necessitate new hardware and software. These AI-based solutions, for instance, require updates regarding the annotation and collection of data sources, as well as the creation, processing, and fine-tuning of models when more data becomes available. Deep learning, a branch of AI technology, has grown to be one of the most significant computational workloads for businesses and will increase the use of AI infrastructure.
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