Emmanuelle Rivet, Vice Chair, and US TMT & Global Technology Leader, at PricewaterhouseCoopers (PwC), has over 26 years of experience advising public and private tech companies on complex transactions from M&A and equity or debt offerings to system implementation and operations transformation for scale and compliance. Emmanuelle is focused on helping diverse teams deliver tailored solutions, and places unique client needs first. Emmanuelle chats with us about the metaverse, what trends are emerging, the predicted growth in global spending on VR, how the metaverse will change business and consumer interactions, key drivers for the market, and tons more. Rivet: A surprising discovery from the data is that despite serious economic headwinds and after suffering a sharp decline in 2020 (-18.8%), the U.S. B2B segment of the market grew 7.9% in 2021 and is expected to grow by 13.7% in 2022. Revenue forecasts have the market on track to exceed pre-pandemic levels by 2023.

Technology today is evolving at such a rapid pace, enabling faster change and progress, causing an acceleration of the rate of change, until eventually it will become exponential. However, it is not only technology trends and top technologies that are evolving, a lot more has changed this year due to the outbreak of COVID-19 making IT professionals realize that their role will not stay the same in the contactless world tomorrow. And an IT professional in 2020-21 will constantly be learning, unlearning and relearning (out of necessity if not desire). What does this mean for you? It means staying current with new technology trends.

The IDC Worldwide Artificial Intelligence Spending Guide has forecast that global spending on artificial intelligence (AI) will double over the next four years, from US$50.1 billion in 2020 to more than US$100 billion in 2024. Spending on AI systems will accelerate, as organisations deploy artificial intelligence as part of their digital transformation efforts and to remain competitive in the digital economy. The compound annual growth rate (CAGR) for the 2019–2024 period will be 20.1%. Ritu Jyoti, program vice president, Artificial Intelligence at IDC, predicts that AI technology will help businesses be agile, innovate and scale. "Companies will adopt AI -- not just because they can, but because they must. The companies that become'AI powered' will have the ability to synthesise information (using AI to convert data into information and then into knowledge), the capacity to learn (using AI to understand relationships between knowledge and apply the learning to business problems) and the capability to deliver insights at scale (using AI to support decisions and automation)," Jyoti said.

Worldwide spending on artificial intelligence (AI) is forecast to double over the coming for years to hit $110 billion by 2024, according to new data from IDC. The figure, which comes from the analyst firm's latest Worldwide Artificial Intelligence Spending Guide, calculates a CAGR of 20.1% as adopting AI becomes a'must' in the enterprise. In particular, companies will utilise AI to deliver a better customer experience, as well as help employees to become better at their jobs. Automated customer service agents, sales process recommendation and automation, as well as automated threat intelligence and prevention, are the primary use cases outlined by IDC. Retail and banking are the two industries most likely to splurge in the coming years.

Artificial Intelligence is everywhere, opportunities are in abundance for cognitive enterprises. What do we mean by cognitive enterprises? Millions of ideas and think pieces are waiting to grow luxuriantly and cognitive AI technologies will play a bigger role in turning your ideas into a live piece of work. It is expected that AI will bring simplicity to complex business issues and deliver more useful, engaging, intuitive, and profitable solutions, and this is what we say a cognitive approach for enterprises. According to a report published by IDC a market research firm states that global spending on cognitive AI systems will reach $57.6 billion by 2021. Biggest investors in cognitive AI systems are banking, retail, and manufacturing firms.

According to the latest report by IDC in global spending for AI systems will reach $97.9 billion in 2023 According to the latest report by IDC, global spending for AI systems will reach $97.9 billion in 2023, up almost three times from the worldwide spending at $37.5 billion in 2019. Being the inflection point, the year 2020 is projected to be crucial in terms of innovations in the AI eco-space. Here are some of the top AI and ML emerging trends organizations should look forward to in 2020. As per Gartner, enterprises have witnessed an increase in the adoption of advanced deep learning solutions. By 2022, more than three-quarters of companies will use deep neural networks instead of the classical machine learning.

Machine learning technologies and techniques are giving organizations powerful new ways to utilize the vast amounts of data they're collecting. According to several reports, ML spending is increasing at a compound annual growth rate (CAGR) of around 25%. That's benefitting vendors providing ML solutions, which appears to be mostly cloud vendors outside of the HPC segment. According to Zion Market Research's July report, the global market for ML was valued at $1.6 billion in 2017 and is expected to account for $20.8 billion in spending by 2024, which translates into a rather healthy 44% compound annual growth rate (CAGR). That was the outlier in a recent roundup of ML market reports. Market Reports World came up with a similar number in its global tally on ML spending.

Machine learning technologies and techniques are giving organizations powerful new ways to utilize the vast amounts of data they're collecting. According to several reports, ML spending is increasing at a compound annual growth rate (CAGR) of around 25%. That's benefitting vendors providing ML solutions, which appears to be mostly cloud vendors outside of the HPC segment. According to Zion Market Research's July report, the global market for ML was valued at $1.6 billion in 2017 and is expected to account for $20.8 billion in spending by 2024, which translates into a rather healthy 44% compound annual growth rate (CAGR). That was the outlier in a recent roundup of ML market reports. Market Reports World came up with a similar number in its global tally on ML spending.

Spending on artificial intelligence (AI) hardware and software is predicted to expand two-and-a-half times from current expenditure of $37.5 billion to $97.9 billion, according to a new report by International Data Corporation (IDC). That is a compound annual growth rate (CAGR) of 28.4 percent during the five-year 2018-2023 period of the report's forecast. Developers will see increased spending for AI software as it is predicted to overtake hardware purchases by 2023, according to the IDC Worldwide Artificial Intelligence Systems Spending Guide. In 2019 hardware spending for AI infrastructure is outpacing software purchases, IDC reports. But by 2023, it predicts that spending for AI software and AI software platforms will see 36.7 percent CAGR.

There is hardly a single hour that passes by when we are untouched by technology. We are constantly engaged with our mobile devices such as smartphones or tablets, except for when we are asleep. Whether it is work or going about our daily chores, technology has found its way into every aspect of our lives. Contributing to this plot, companies are gearing up their operations to adopt enterprise mobility management to enhance the productivity and efficiency of their employees. Enterprise Mobility enables the company to encourage their employees to work anytime, from anywhere with access to data using their mobile devices.