Artificial Intelligence (AI) represents a combination of various technologies including Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Speech Recognition, Context Aware Processing, Neural Network, and Predictive APIs. The AI chipset market is driven by many factors including the fact that AI is increasingly integrated in many areas including Internet search, entertainment, commerce applications, content optimization, and robotics. The long-term prospect for AI chipsets is that they will become embedded in many different other technologies and provide autonomous decision making on behalf of humans, both directly, and indirectly through many processes, products, and services. One of the biggest opportunities will be the AI chipsets in IoT market.
AI Chipsets in IoT
AI technology is permeating almost every sector of the global economy with diverse sets of use cases and applications. AI chipset technology is evolving with many vendors aggressively working towards improving data processing capability as well as energy efficiency and other key factors. AI chipset-enabled networks of devices and systems will drive substantial change in industrial and workplace environments.
We predict that nearly 72% of the enterprises will be deploying AI solution within the enterprise physical facility or application system by 2025. Chipsets will track user location, choice and preference, surrounding environment, machine behavior, and many other data patterns to generate actionable insights and tailored recommendations for each customer.
Many important functions, such as connect, collect, and compute, will be powered by the performance of AI chipsets. AI chipsets provide the ability of learning from both users and the environment without the need to utilize explicitly programmed algorithm. AI chipsets are able to detect hidden patterns in new data and perform actions with customized approaches based on specific situations. AI chipsets will allow devices and systems to better understand the surrounding environment and user preferences to optimally execute specific functions.