The global artificial intelligence in agriculture market size is expected to reach USD 2.9 billion by 2025, according to a new report by Grand View Research, Inc. The market is anticipated to register a CAGR of 25.4% from 2019 to 2025. Artificial intelligence solutions in the agricultural industry are emerging in various forms, such as soil and crop monitoring, agricultural robots, and predictive analytics. Farmers and agribusiness corporations are increasingly using soil sampling and artificial intelligence -enabled sensors for data gathering for better analysis and processing. The availability of these processed data has paved the way for the deployment of artificial intelligence in agriculture and farming.
Artificial Intelligence (AI) is considered to be the next stupendous technological development, alike past developments such as the revolution of industries, the computer era, and the emergence of smartphone technology. The North American region is expected to dominate the industry due to the availability of high government funding, the presence of leading players, and strong technical base. Advances in image and voice recognition are driving the growth of the artificial intelligence market as improved image recognition technology is critical to offer enhanced drones, self-driving cars, and robotics. The AI market can be categorized based on solutions, technologies, end use, and geography. The two major factors enabling market growth are emerging AI technologies and growth in big data espousal.
The points that are discussed within the report are the major market players that are involved in the Deep Learning Chipset market such as manufacturers, raw material suppliers, equipment suppliers, end users, traders, distributors and etc.The growth factors of the market is discussed in detail wherein the different end users of the market are explained in detail.Data and information by manufacturer, by region, by type, by application is given and custom research can be added according to specific requirements. The Research projects that the Deep Learning Chipset market size will grow from in 2017 to by 2023, at an estimated CAGR of XX%. The base year considered for the study is 2017, and the market size is projected from 2018 to 2023.Akin to Artificial Intelligence (AI), the concept and possibilities of deep learning are being contemplated and harnessed for several decades. But, in the recent times, the technology pertaining to algorithmic chips has improved considerably, promising to revolutionize major applications such as data centers to the simplest of microcontrollers. "This report can be customized to meet the desired requirements. Please connect with our Team, who will ensure that you get a report that Fulfils your requirements."
The artificial intelligence chipset market has a huge potential across various industry verticals such … Tweet According to the latest market research report titled Artificial Intelligence (AI) Chipset market, the overall artificial intelligence chipset market is expected to be worth USD 16.06billion by 2022, growing at a CAGR of 62.9% from 2016 to 2022. The artificial intelligence chipset market has a huge potential across various industry verticals such as retail, transportation and automation, manufacturing, BFSI, and agriculture, among others. The major factor driving the artificial intelligence market globally is the growing number of applications of AI technologies in various end-user verticals and the growing adoption of AI for the improvement of consumer services. The growth of the artificial intelligence market is also driven by the development of IT infrastructure and the penetration of Smartphone's and smart wearable in countries such as India and China. Artificial Intelligence products market expected to hold the largest market share from 2016 to 2022 The AI market by products is expected to hold largest market share from 2016 to 2022.
Global Deep Learning Market size is expected to reach USD 10.2 billion by 2025, according to a new report by Grand View Research, Inc. Considerable improvements in machine learning algorithms and advancements in deep learning chipsets are driving the industry growth. Rapid improvements in fast information storage capacity, high computing power, and parallelization have contributed to the swift uptake of the deep learning technology in end-use industries such as automotive and healthcare. Further, the need for understanding and analyzing visual contents among enterprises in order to gain meaningful insights, is expected to provide traction to the industry over the forecast period. The increasing prominence of Graphics Processing Unit (GPU)-accelerated applications is leading to increased adoption of the technology in scientific disciplines such as deep learning and data science. Organizations are utilizing deep learning neural networks to extract valuable insights from enormous amounts of data for providing innovative products and improving customer experience; thereby, increasing revenue opportunities.