IEEE Computer Society presents its technological predictions for 2022

LOS ALAMITOS, California, January 13, 2022 — The IEEE Computer Society (IEEE CS) released its annual report technology predictionsaddressing the pandemic’s lasting influence on technological advances, as well as introducing new fundamentals and anticipated trends that will shape the industry for 2022 and beyond.

“We have experienced many accelerated technological advances due to the circumstances surrounding the ongoing impact of the pandemic,” said William D. Gropp, president of IEEE CS. “With the Computer Society’s Technology Predictions 2022, we share our insights into the future of computing research and technology and the impact these advances will have on society.”

No one can say with 100% certainty which path the future of technology will take, but IEEE CS experts in the field offer helpful insights and predictions about some of the most influential possibilities. Highlights include:

  • The top three technology trends predicted to dominate in 2022 are data-centric AI, remote medicine, and biomedical health, safety, and wearable technologies.
  • Converging technologies are increasingly playing a crucial role in disruption and are becoming essential to our survival.
  • Predictive technologies help address the impacts and concerns of the pandemic; It goes far beyond the hypothetical exercise.

“The long-term impact of the pandemic has resulted in the rapid acceleration of digital transformation in industry, academia, and private life,” said Dejan Milojicic, distinguished technologist at Hewlett Packard Enterprise and former president of IEEE CS (2014). “The disruption of technologies has advanced at an unprecedented rate and has played an increasingly crucial role in a wide spectrum of influence, becoming essential for survival.”

The 2022 Technology Predictions provide a deep dive into each prediction with analysis of specific issues and current demands; the opportunities for technology; the impact the technology will have on the public, products, services and related technologies; and the sustainable solutions and business opportunities that it could potentially inhibit and/or enable.

The top 16 technology trends predicted to reach adoption in 2022 are:

  1. Data-Centric AI: There is a greater demand for data to be available everywhere and a greater focus on data-centric machine learning.
  2. Remote medicine: Remote medicine will allow patients to get remote medical assistance and doctors to perform procedures and consult with remote experts.
  3. Health, safety and wearable biomedical technologies: These are small, wireless, self-contained electronic devices that capture, analyze, and aggregate biofeedback or other sensory physiological functions related to health, wellness, and fitness and can be worn in the human body (or in the human body with versions such as microchips or smart tattoos).
  4. Cybersecurity of Critical Infrastructure and Medical/Biological Supply Chains: This means protecting digital vulnerabilities in our critical infrastructure, data, and medical resources.
  5. HPC/AI/HPDA convergence delivered on serverless, heterogeneous hardware: Heterogeneity continues to emerge to overcome the end of Moore’s Law, and serverless continues the evolution of higher level, finer virtualization abstraction from bare metal to virtual machines to containers, and now Functions as a Service (FaaS).
  6. AI on the edge: This trend involves distributed federated learning supported by the cloud; real use cases are available.
  7. Additive manufacturing applications in health care: This includes 3D printed parts and components for new or existing healthcare solutions, such as prosthetics, personal protective equipment, custom surgical equipment, patient sample collection parts, and safer implants and ingestible devices.
  8. Security, reliability and resiliency for intelligent autonomous systems: Driven by the pandemic, the substantial growth of autonomous systems (vehicles and robots) will further improve the reliability and safety of such autonomous systems.
  9. Digital twins in manufacturing and the industrial metaverse: The integration of IoT, 5G, AI and XR will create a mixed reality experience where simulation and reality overlap.
  10. trustworthy AI: In addition to performance, AI/ML developers will start to focus on explainable and reliable tools, code, and hardware.
  11. Detection and correction of misinformation: The critical importance of having accurate information will trigger techniques to determine misinformation in politics, business, and social media.
  12. Commodification of space technology: More companies are sending technology into space and the barriers to entry are falling rapidly.
  13. Low-Code/No-Code programming techniques: The widespread adoption of computer systems in almost every facet of our lives requires some degree of programming, but not everyone is an expert or even familiar with programming languages ​​and environments. Low-code/no-code allows novice users to satisfy their programming needs without being programming experts.
  14. Non-Fungible Tokens (NFTs): Blockchain technology can be used for authentication and ownership of digital assets, and potentially for a new kind of virtualization of ownership of physical things.
  15. State-of-the-art remote presence (“Metaverse”): Incremental progress in existing VR/AR technologies, as well as new technologies that engage senses beyond audiovisual, are driving better and better immersion.
  16. Confidential computing: This refers to secure, privacy-enhanced computing delivered through a hybrid cloud model.

Access the technology predictions of 2022

The IEEE CS team of leading technology experts includes Rosa M. Badia, Barcelona Supercomputing Center; Mary Baker, HP Inc.; Tom Coughlin, Coughlin Associates; Paolo Faraboschi, vice president and member of Hewlett Packard Enterprise; Eitan Frachtenberg, Data Scientist, Reed College; Vicente Kaabunga, AKEM Consulting; Hironori Kasahara, Waseda University; Kim Keeton, currently at Google; Danny Lange, Vice President of AI at Unity Technologies; Phil Laplante, professor at Pennsylvania State University; Andrea Matwyshyn, Professor and Assoc. Dean of Innovation, Penn State Law – University Park, and Professor, Penn State Engineering; Avi Mendelson, Professor, Technion and NTU Singapore; Cecilia Metra, professor at the University of Bologna and former president of IEEE CS; Dejan Milojicic, distinguished technologist at Hewlett Packard Enterprise and former president of IEEE CS; Nita Patel, L3 Technologies, IEEE CS President Elect; Roberto Saracco, president of the IEEE-FDC Symbiotic Autonomous Systems Initiative; Michelle Tubb, director of sales and marketing for IEEE CS; and Irene Pazos Viana, computer consultant.

Technical contributors to this document are available for interview. Note: Statements made in this report do not represent the views of the authors’ employers.

In late 2022, IEEE CS technical contributors to this report will review the accuracy of the 2022 predictions and determine how close they are to reality. Please check back in December 2022 for details. scorekeeper of this year’s forecast.

Access the dashboard 2021 for ratings and analysis of last year’s predictions.

About the IEEE Computer Society

The IEEE Computer Society is the world home for computing, engineering, and technology. A world leader in providing access to computer science research, analysis, and information, the IEEE Computer Society offers a wide range of products, services, and unmatched opportunities for people at all stages of their careers. Known as the premier organization empowering the people who drive technology forward, the IEEE Computer Society offers unparalleled international conferences, peer-reviewed publications, a unique digital library, and training programs. To visit for more information.

Source: IEEE Computer Society

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