According to Deloitte, the figures show an increase in the demand for chips during the economic crisis.
Of all the challenges that the IT sector faced in 2021, the low cost of chips was one of the biggest threats. In 2022 companies are trying to recover, while Deloitte predicts that more types of chips will disappear this year, albeit less dangerous than last year.
“There will be a delay in 2022 until the availability will meet the growing demand […] It’s not just the proliferation of consumer equipment, and the fact that many of the machines in the market are booming and most of the stands are heavily dependent on digital. In Technology, Media and Telecommunications – TMT Predictions “.
An indication of this problem in the market is the opportunity for business funds to be considered at the start of this session. Deloitte predicts that global financial companies will invest more than $ 6 billion in starting semiconductor in 2022.
The study also highlights other features, such as Wi-Fi 6 deployment that will extend beyond 5G devices and use homomorphic encryption to manage confidential data.
According to Deloitte research, although 5G has been commercialized, Wi-Fi 6 devices are performing better than 5G devices with major limitations and may continue to do so for years to come. An estimated 2.5 billion Wi-Fi 6 devices are expected to be launched in 2022 against approximately 1.5 billion 5G devices.
The reason for this is that Wi-Fi 6, as well as 5G, has a big role to play in the future of wireless connectivity – not only for consumers, but also for businesses. Mobile phones, tablets and PCs are some of the most popular Wi-Fi 6 devices, but Wi-Fi 6 is also widely used, including wireless cameras, smart home gadgets, game consoles, clothing and headphones. a AR / VR.
AI and sensitive data
The year 2022 will also have many discussions about systematic AI reform, and ideas to be developed – although the implementation of these into actual laws will not happen until 2023 or beyond, Deloitte estimates.
“Some areas may also try to curb small components of AI such as face recognition in public places, group characters and minimalist tactics. Guided by the need to protect the data used in AI applications, growing technologies are increasingly confidential such as homomorphic encryption and integrated learning will also grow significantly. ”Review the lesson.
Utilized by leading technology companies, the homomorphic encryption and federal learning market market will grow at two rates by 2022 to more than $ 250 million. By 2025, this market is expected to reach $ 500 million.