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.
The global artificial intelligence chipset market size is expected to reach USD 59.2 billion by 2025, according to a new report by Grand View Research, Inc. The artificial intelligence (AI) chipset market is anticipated to expand at a CAGR of 33.6% from 2019 to 2025. An Artificial Intelligence chipset is built on the concept of adding a dedicated component in an electronic device, to execute Machine Learning tasks. In addition, an increased amount of data has led to the need for high-speed processors and faster computing, which is addressed by incorporating Artificial Intelligence into the set of electronic components. For instance, Apple has implemented a neural engine in its A11 Bionic chip's GPU to speed-up the third-party applications.
The global internet of things (IoT) fleet management market size is expected to touch USD 16.86 billion by 2025, according to a new report by Grand View Research, Inc., exhibiting a CAGR of 20.8% during the forecast period. Introduction of vehicular internet connectivity has triggered the rate of adoption for IoT fleet management. IoT fleet management includes various solutions such as vehicle tracking & monitoring, fleet analytics, fuel management, predictive maintenance, remote diagnostics, and driver performance tracking & monitoring. These solutions enable fleet operators to not only increase their operational efficiency but also assist them in reducing expenses. For the IoT technology to work successfully, seamless connectivity is one of the most important prerequisites.
Every day, businesses are discovering new ways to tap into the power and potential of big data. Due to access to unprecedented amounts of information on business performance and consumer behaviour, companies are now able to refine their products and services in limitless ways. The insurance industry provides a good example of data being leveraged to help make beneficial business decisions. Since this industry is based on risk, it's a natural fit for business intelligence (BI) and analytics. The decision to take out an insurance policy, by both commercial and personal customers, is based on the likelihood of an adverse event occurring and negatively affecting them financially.