Artificial intelligence adoption is happening at a massive irrespective of the type of industry. So far AI is a software application, but to explore its capabilities to its full capacity, there is an immense need for support from hardware to run the massive and complex algorithms (like machine learning and neural networks) to achieve the high and smart processing capacities.
Artificial intelligence applications necessitate parallel computational powers to execute superior AI algorithms. AI chips deliver additional parallel processing potential which is approximated to result in higher computational capacities to run complex AI applications like artificial neural networks when equated to conventional semiconductor machines at the related price range.
This is where the need for AI chips came in to picture. That too with the growth of the Internet of Things, AI chips are expected to play a crucial game to scale up the AI capacities to handle massively streaming data and generate meaningful insights. AI chips demand to incorporate the need for sensors, ICs, advanced memory devices, and superior processors. This requirement is necessitating the semiconductor industry to take an impulse shift by directly impacting design and manufacturing decisions.
Being proactive in predicting the market for AI hardware, some enterprises were quick enough to predict and even react proactively with some products. By studying the demand and preemptive approaches of many semiconductor industry players, McKinsey developed the potential opportunities in the AI market for semiconductor companies to observe and to stay ahead of their competitors.
Research and Markets research reveals that “The Global Artificial Intelligence (AI) Chip Market was valued at USD 9.29 billion in 2019, and is estimated to garner USD 253.30 billion by 2030, at a CAGR of 35.0% during the forecast period between 2020 and 2030.” Few other research reports state that AI chips share in the overall AI market accounts to close to 12 percent
Looking at the scale of demand and the role AI chips are expected to exhibit, the McKinsey report concedes that “AI-based semiconductors will evidence a rise that is approximated to 18 percent yearly in the years to come, which is 5x times larger than the semiconductors market in other sectors. By 2025, AI devices demand project that the semiconductors marketplace estimates approximately 20 percent of the overall requirement and the financials is somewhere $67 billion. semiconductor enterprises are anticipated to secure great value (somewhere around forty to fifty percent) in the overall AI technology stack”.
AI chip manufacturers should remember that the hardware solutions are end-to-end resolutions. requirements will have an enduring impact on the way semiconductor devices are manufactured and this trend necessitates revisiting and revamp their overall processes (right from designing to the way they are manufactured) to meet the enormous storage and computation demands these AI chips demand. In the process of revamping and restructuring the semiconductor device manufacturing process, the industry will have to deal with a massive set of challenges in getting trade-offs between design, performance, and cost.
AI capabilities haven’t reached a threshold and they have a long way to go, the development is happening at a massive pace is very dynamically rising. As AI innovations continue to stride, the AI hardware needs are not restricted to and are expected to rise beyond computing, storage, or networking devices. So, it is very much needed for semiconductor players to keep their strategies very scalable and dynamic, and keenly observe trends and accordingly steer their efforts to stay ahead in the competition.