IEEE: Digital Twins in Manufacturing and Industrial Metaverse is
Top '22 Tech Trend
January 17, 2022
The IEEE Computer Society (IEEE CS) has unveiled its annual
Technology Predictions, addressing the long-lasting influence of
the pandemic on tech advancements, as well as introducing new
fundamentals and anticipated trends shaping the industry for
2022 and beyond.
“We’ve experienced many accelerated technological advances due
to circumstances surrounding the continuing impact of the
pandemic,” said William D. Gropp, IEEE CS president. “With the
2022 Technology Predictions from the Computer Society, we share
our insights on the future of computing research and technology
and the impact these advances will have on society.”
can say with 100% certainty what path the future of tech will take,
but IEEE CS experts in the field offer useful insights and
predictions into some of the most influential possibilities.
The top three
tech trends that are anticipated to dominate in 2022 are
datacentric AI, remote medicine, and health, safety, and
wearable biomedical technologies.
technologies increasingly play crucial roles in disruption and
are becoming essential for our survival.
technologies helps address pandemic impacts and concerns; it
goes well beyond hypothetical exercise.
“The long-term impact
of the pandemic ensued the rapid acceleration of digital
transformation in industry, academia, and private life,” said Dejan
Milojicic, Hewlett Packard Enterprise Distinguished Technologist and
former IEEE CS president (2014). “Disruption of technologies has
advanced at an unprecedented pace and has increasingly played a
crucial role across a wide spectrum of influence, becoming essential
The 2022 Technology
Predictions provides a deep dive into each prediction with analysis
of specific problems and current demands; the opportunities for the
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:
Datacentric AI: There is an increased demand to make
data available everywhere and an increased focus on datacentric
Medicine: Remote medicine will enable patients to
obtain remote medical assistance and physicians to perform
procedures and consult with remote experts.
Safety, and Wearable Biomedical Technologies: These are
small electronic, wireless, and autonomous devices that capture,
analyze, and aggregate biofeedback or other sensory
physiological functions related to health, well-being, and
fitness and that can be worn on the human body (or in the human
body with versions such as micro-chips or smart tattoos.)
Cybersecurity of Critical Infrastructure and Medical/Biological
Supply Chains: This means securing digital
vulnerabilities in our critical infrastructure, data, and
Convergence of HPC/AI/HPDA Delivered on Heterogeneous Hardware &
Serverless: Heterogeneity continues to emerge to
overcome the end of Moore’s Law, and serverless continues the
evolution of finer-grain and higher-level abstraction of
virtualization from bare metal to virtual machines to
containers, and now Functions as a Service (FaaS).
the Edge: This trend involves distributed federated
learning with the support of the cloud; real use cases are
Applications of Additive Manufacturing in Healthcare:
This includes 3D printing parts and components for existing or
new healthcare solutions, such as prosthetics, personal
protective equipment, customized surgical equipment, parts for
patient sample collection, and safer implants and ingestible
Reliability, and Resilience for Intelligent Autonomous Systems:
Fueled by the pandemic, substantial growth in autonomous systems
(vehicles and robots) will further improve the reliability and
safety of such autonomous systems.
Twins in Manufacturing and Industrial Metaverse:
Integration of the IoT, 5G, AI, and XR will create a blended
reality experience where simulation and reality overlap.
Trustworthy AI: In addition to performance, AI/ML
developers will start focusing on explainable and trustworthy
tools, code, and hardware.
Disinformation Detection and Correction: Critical
importance of having accurate information will trigger
techniques to determine disinformation in politics, business,
and social media.
Commoditization of Space Technology: More companies are
sending technology to space, and the barriers to entry are
Low-Code/No-Code Programming Techniques: The wide
adoption of computer systems in almost every facet of our life
requires some degree of programming, but not everyone is skilled
or even aware of programming languages and environments.
Low-code/no-code enables novice users to achieve their
programming needs without being skilled in programming.
Non-Fungible Tokens (NFTs): Blockchain technology can
be used for authentication and ownership of digital assets and
potentially for a new type of virtualization of the ownership of
Next-Generation Remote Presence (“Metaverse”):
Incremental progress in existing VR/AR technologies, as well as
new technologies involving senses beyond audiovisual, are
driving better and better immersion.
Confidential Computing: This refers to privacy-enhanced
and secure computing delivered through a hybrid cloud model.