Predicting technology trends and disruptions is a difficult task, but is of significant importance to business leaders and stakeholders to improve their processes, increase customer satisfaction, and optimize business strategies.
In this article, we explore the key technology trends in 2022 and provide insights and predictions based on reputable surveys and reports, as well as our own research.
1. Virtual event platforms
The shift to hybrid and remote work has significantly increased business reliance on virtual event platforms to organize meetings, training sessions, and business get-togethers. While some businesses are going back to the office, expectations are that businesses will continue organizing virtual events. A recent survey has revealed that:
- 90% of organizers believe that all large-scale events will be hybrid or virtual by 2023.
- The number of people attending virtual events has increased 93% after the emergence of the pandemic.
- 93% of business attendees feel companies have done a good job with the transition from in-person to online.
Keep your audience engaged during virtual events by leveraging virtual events’ best practices, such as:
- Reduce length of presentation
- Add videos to your presentation
- Host multiple speakers
- Interact with audience via polls, buttons, and Q&A sessions
2. Intelligent automation
Intelligent automation, also known as cognitive automation, is the practice of integrating AI and machine learning capabilities with automation technologies such as RPA. To date, ~90% of C-level executives report that some level of intelligent automation already exists within their organizations, and Deloitte has reported that intelligent automation has already exceeded executives’ expectations for success by 16-26%.
With growing developments in AI and deep learning capabilities, you can start leveraging intelligent automation to:
- Automate edge cases that are difficult to automate with non-cognitive RPA, such as processing trade finance transactions or insurance claims.
- Incorporate automation with high level cybersecurity measures, such as running cyber threat hunts.
- Leverage automation for customer-facing tasks, such as live coaching of sales reps, and resolving customer issues.
3. Data privacy enhancing technologies
As seen in figure  there is an exponential growth in data volume, and with more data comes more opportunity for businesses to gain insights, improve services, and monetize datasets. On the other hand, a 2021 Deloitte report points that more organizations are expected to engage in “data sharing” to tackle common challenges. This, in turn, is increasing business interest in data privacy-enhancing technologies to protect their clients’ and employees’ information and to comply with privacy regulations.
Preserve data privacy while enabling collaboration by leveraging:
- Fully homomorphic encryption
- Differential privacy
- Functional encryption
- Federated analysis
- Zero knowledge proofs
- Secure multiparty computation
4. Blockchain for business
2021 has seen a rise in interest in different blockchain applications including DeFi, NFTs, and DApps. As for businesses, blockchain applications are spreading across different industries looking for reducing costs, detecting fraud, and increasing customer satisfaction, and according to IDC, spending on blockchain solutions by businesses is expected to reach ~$12B in 2022.
Embrace blockchain technology in:
- IoT: Leveraging blockchain to store IoT data provides an additional layer of security to mitigate data breaches and prevent attackers from gaining access to the network.
- Supply chain: Supply chain leaders can benefit from smart contracts to eliminate fraud, detect item location, and automate payment processes.
- Insurance: Insurance businesses can benefit from the anonymity provided by blockchain to improve their underwriting and risk assessment processes.
- Banking: Private and government banks have launched several digital currency projects based on blockchain technology in 2021, such as China’s digital Yuan. In 2022, Japan, Brazil, and England are expected to launch central bank digital currency (CBDC) pilots.
5. Cyber AI
Figure  shows that the past five years have seen increasing interest in leveraging AI and machine learning in cybersecurity, and it’s been estimated that the market of AI in cybersecurity will reach ~$46B by 2027. This is because the cost of cyber-attacks and data breaches is increasing and organizations are struggling to secure their data while shifting to remote work.
Forbes predicts that in 2022 AI will contribute to making cybersecurity responses smarter by:
- Detecting network vulnerability and threats
- Diagnosing incidents and responding accordingly
- Generating continuous cyber threat intelligence (CTI) reports
Leverage AI to mitigate cyber attacks by:
- Monitoring emails for suspicious keywords and links.
- Detecting malware threats
- Reducing alert fatigue
- Identification of zero-day exploits
6. Synthetic data
Synthetic data, or data created by AI algorithms instead of real events, has been increasing in popularity among industries struggling with data availability due to solution novelty or data privacy regulations. We expect that the rising number of data privacy and AI ethics regulations will increase business dependence on synthetic data, and according to Gartner, by 2025, synthetic data will reduce personal customer data collection, avoiding 70% of privacy violation sanctions.
Leverage synthetic data to:
- Generate simulations of edge cases and scenarios with limited data
- Improve the accuracy of supervised machine learning models
- Enable reproducibility of medical research
- Test autonomous things (e.g. robots, self-driving cars)
7. Metaverse for business
A metaverse, also known as Web 3, is an online virtual representation of the physical world where users can communicate and interact with each other using augmented reality (AR) and virtual reality (VR) hardware and software. In turn, businesses are viewing the metaverse as an opportunity to socialize and engage with their customers on novel platforms in 2022. For example:
- Gucci is already selling luxury products (e.g. perfumes, bags, sunglasses) as NFTs.
- Nike is planning to sell virtual sneakers in 2022.
- Microsoft is rolling out Mesh for Microsoft Teams in 2022 for business designs, training, meetings, and collaborations.
Leverage the metaverse and its generated data in 2022 to:
- Place business ads on virtual platforms.
- Personalize content to users based on behavior data
- Directly communicate with customers
- Create a virtual office space for employees
- Generate digital twins of products or of the entire organization (DTO)
These are a few predictions for tech trends in 2022 based on our research. Feel free to offer us your insights in the comments section.
If you are looking for a tech solution to implement novel technologies in your business in 2022, we can help you choose the right tool for your business:
Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 60% of Fortune 500 every month.
Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE, NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and media that referenced AIMultiple.
Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised businesses on their enterprise software, automation, cloud, AI / ML and other technology related decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.
He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.
Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
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