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The global AI infrastructure market is projected to grow from USD 14.6 billion in 2019 to USD 50.6 billion by 2025, at a CAGR of 23.1%. Major factors driving the market for AI infrastructure include increasing adoption of cloud machine learning platform, escalating demand for AI hardware in high-performance computing data centers, rising focus on parallel computing in AI data centers, growing volume of data generated in industries such as automotive and healthcare, improving computing power and declining hardware cost, growing number of cross-industry partnerships and collaborations, and expanding AI applications in industries such as healthcare, automotive, finance, and tourism. The markets in North America and Europe is one of the key factors restraining the growth of the AI infrastructure market.
AI Infrastructure Market for Deep Learning Technology is Estimated to Grow at Higher CAGR During Forecast Period
AI infrastructure for deep learning technology enables a machine to build a hierarchical representation. For instance, the first layer of the captured image could scan for simple edges, followed by a layer that collects edge-forming shapes (such as rectangle or circle). The final layer could identify machine parts. After scanning several layers to identify the required data, the neural network can collate the features into an algorithm that can recognize the overall image. The growing adoption of robots, cybersecurity applications, IoT, industrial automation, and machine vision technology has created a large volume of data. This data serves as a training module in deep learning technology, which helps in testing and diagnosis processes. Deep learning technology helps to manage data consistently. The deep learning platform learns from different sources and creates a consolidated data environment. Moreover, this platform reduces the workload of end-user industries such as semiconductor and electronics, energy & power, pharmaceuticals, automotive, heavy metals and machine manufacturing, and food & beverages. The extensive use of big data, industrial IoT (IIoT), and robotics is fueling the growth of the AI infrastructure market for deep learning technology.