The global deep learning market size is expected to reach USD 1,727.24 billion by 2032, according to a new study by Polaris Market Research. The report “Deep Learning Market Share, Size, Trends, Industry Analysis Report, By Solution; By Hardware; By Application (Image Recognition, Voice Recognition); By End-use; By Region; Segment Forecast, 2024–2032” gives a detailed insight into current market dynamics and provides analysis on future market growth.
Deep learning has become a crucial component of modern technologies, such as natural language processing, speech recognition, and autonomous vehicles. This growth is due to several factors, including the increasing availability of data and advancements in hardware, such as GPUs and FPGAs. Its applications are spreading across industries including healthcare creating growth opportunities for global market, contributing to the remarkable growth of the global market is also driven by the need for intelligent decision-making systems, growth in big data analytics, and the increasing adoption of cloud-based technologies are creating lucrative opportunities for market growth in the coming years.
In May 2021, Google Cloud introduced the Vertex AI platform. The platform aims to simplify the process of developing and deploying machine learning models by offering pre-built tools and workflows. This launch is in line with Google’s ongoing efforts to enhance its AI and ML capabilities and remain competitive in the market.
Additionally, cloud-based deep learning platforms and integration into software solutions are further accelerating market expansion. One of the primary drivers is the increasing availability of data, which has enabled deep learning algorithms to become more accurate and effective. Data availability, advanced hardware development, and various industry applications, such as finance, and retail, are expected to continue fueling the growth of the market in the future.
Deep learning market report highlights
Polaris Market Research has segmented the Deep Learning market report based on solution, hardware, application, end-use and region:
Deep Learning, Solution Outlook (Revenue - USD Billion, 2019 - 2032)
Deep Learning, Hardware Outlook (Revenue - USD Billion, 2019 - 2032)
Deep Learning, Application Outlook (Revenue - USD Billion, 2019 - 2032)
Deep Learning, End-Use Outlook (Revenue - USD Billion, 2019 - 2032)
Deep Learning, Regional Outlook (Revenue - USD Billion, 2019 - 2032)