Artificial Intelligence (AI) Infrastructure Market to grow at a CAGR of 20.6% during 2024-2028
The Artificial Intelligence (AI) Infrastructure Market is expected to grow at a CAGR of 20.6% during 2023 and 2028. During this period, the market is also expected to show a growth of USD 22065.3 million. Artificial Intelligence (AI) infrastructure is underpinned by advanced technologies such as Machine Learning (ML) and deep-learning neural networks. These technologies facilitate the creation of cloud-based AI software and services, including Natural Language Processing (NLP), computer vision, and sophisticated data analysis for precise demand forecasting. The business world has been significantly impacted by AI, with applications spanning retail, where they are utilized for recommendation engines, pricing optimization, lead generation, chatbots, and supply chain optimization. However, implementing AI technologies in an on-premises data center necessitates a substantial investment in computing power and data storage capabilities to ensure optimal data processing speed.
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Technavio analysts predict that the Processor subsegment will lead the Type segment during 2024 and 2028 The Artificial Intelligence (AI) Infrastructure Market represents a significant growth opportunity for businesses seeking to optimize operations and enhance customer experiences. This market encompasses hardware, software, and services required to deploy and manage AI applications. Key players include IBM, Microsoft, Google, and Amazon Web Services, who offer advanced solutions to help organizations leverage AI technologies for competitive advantage. The market is driven by increasing adoption of AI in various industries, including healthcare, finance, and retail, and the growing need for automation and data analytics.
Here are the various ways based on which the market is segmented:
There are several factors that are causing the market to flourish emerging application of machine learning (ml)
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The Artificial Intelligence (AI) infrastructure market is experiencing rapid growth as businesses and organizations seek to harness the power of AI for various applications. High-bandwidth connectivity and cloud computing are key enablers of this trend, allowing for the deployment of AI algorithms at scale. Google's Tensor Processing Units (TPUs) and Graphics Processing Units (GPUs) are popular hardware solutions for AI workloads, providing the necessary computational power for machine learning and deep learning models. Competitive advantage is a major driver for AI adoption in industries such as finance and healthcare. Continuous improvement and innovation are essential for staying ahead of the competition, and AI factories are being set up to streamline the development and deployment of AI models. Precision medicine and image recognition are just a few of the many applications of AI in healthcare, while finance uses AI for fraud detection, risk assessment, and customer service. Data processing frameworks and storage solutions are crucial components of AI infrastructure, enabling data handling and networking at scale. Security, flexibility, scalability, and deployment are also important considerations, as AI workloads require significant resources and must be protected against cyber threats. Overall, the AI infrastructure market is expected to grow significantly in the coming years, driven by the need for advanced data processing, machine learning, and software and hardware solutions.
According to Technavio, the Artificial Intelligence (AI) Infrastructure Market is a segment of the broader Global Technology Hardware, Storage, and Peripherals Market, which encompasses manufacturers of IT hardware, storage devices, and peripherals. This market includes sales of cellular phones, personal computers, servers, computer components, data storage components, motherboards, audio and video cards, monitors, keyboards, printers, and other peripherals. The Global Technology Hardware, Storage, and Peripherals Market's size is determined by the revenue generated from the sales of these hardware devices, equipment, and components. Key growth drivers for this market include the increasing demand for data centers due to the shift towards remote work brought about by COVID-19.
The Artificial Intelligence (AI) Infrastructure Market is experiencing significant growth, fueled by the emerging application of machine learning (ml). Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
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