Gartner’s 2022 Top Strategic Technology Trends. Old Problems. Old Trends. New Names.

Each calendar year the Gartner Team releases their listing of best strategic technological innovation traits.  The three themes for 2022 are “engineering have faith in,” “sculpting change” and “accelerating advancement.”  At the outset a person ought to be amazed with how Gartner neologizes so creatively 12 months following calendar year. But are the trends actually new or just renamed previous types? And are they all just aspirations?

The Gartner 2022 Tendencies

  Here’s the new record:

  1. Trend 1:  Data Cloth
  2. Trend 2:  Cybersecurity Mesh
  3. Craze 3:  Privacy-Improving Computation 
  4. Development 4:  Cloud-Indigenous Platforms
  5. Trend 5:  Composable Purposes
  6. Pattern 6:  Decision Intelligence 
  7. Development 7:  Hyperautomation
  8. Craze 8:  AI Engineering
  9. Craze 9:  Distributed Enterprises
  10. Pattern 10:  Total Knowledge
  11. Craze 11:  Autonomic Systems
  12. Pattern 12:  Generative AI

Let us glimpse at each of them, noting their age, overlap and real mother nature. 

Craze 1:  Data Fabric

Info has generally been necessary to operational and strategic effectiveness.  “Making data offered everywhere” has been a precedence for decades.  Accessing the right facts at the ideal time throughout a number of platforms and programs has always been a challenge.  “Analytics” is how we resolved to manufacturer both the troubles and answers.  Old challenges new names.  While “data fabric” is adorable, it’s just the hottest way we describe details nirvana, but in a proprietary technologies world, it remains a pipedream.  

Should really we keep on to thoroughly clean, combine and current structured and unstructured knowledge?  Of class, by means of whatever charge-powerful indicates we can.  But we must also identify there are limits to what we can value-proficiently achieve, especially when we pursue most effective of breed facts and apps strategies?  Gartner also argues that knowledge fabrics “can decrease facts management attempts by up to 70%.”  How in the earth is this a knowable range?

Trend 2:  Cybersecurity Mesh

Everyone knows that the amount and mother nature of cyberthreats is raising.  We also know that there are no great solutions – and hardly ever will be.  We know that most corporations do not fully understand the threats and hence underspend in cybersecurity or expend the improper way.  Statements like these are what you listen to from distributors:

“Cybersecurity mesh is a adaptable, composable architecture that integrates greatly dispersed and disparate safety companies.  

“Cybersecurity mesh permits very best-of-breed, stand-by itself protection solutions to function together to boost total security though moving command points nearer to the belongings they are made to protect.  

“It can quickly and reliably validate identification, context and plan adherence throughout cloud and noncloud environments”  

These are normative and prescriptive statements, not actionable kinds.  Of system we want “composable architecture that integrates extensively distributed and disparate security companies.”  Who doesn’t?  There’s generally an ocean amongst what we want and how to get it.  This a not pattern, just an aged aspiration.

Pattern 3:  Privacy-Improving Computation 

How lengthy have we been conversing about “privacy”?  Why is privacy even now just a excellent bar or celebration dialogue?  Because too quite a few enterprise versions only get the job done when there’s no privacy.  Worse, how quite a few People actually worry about digital privateness?  (I realize that Europeans be concerned extra about privacy than People in america and that privateness by itself is an issue/non-challenge based upon wherever nations around the world sit across the democratic/authoritarian spectrum.)  Americans say they’re concerned about privateness, but Despite Privateness Worries, Customer-Stage Inaction Reins Supreme.”  Whilst there is lip-service to privateness, retail and other distributors keep on to bask in their entry to private knowledge everywhere, all the time. They need it. They pay out for it. They market it. Gartner’s “privacy-improving computation” is a beautiful title for an outdated problem that no one particular cares ample about to improve their on the web habits.  (Oh, and where’s all this legislation absolutely everyone keeps speaking about?)  

Pattern 4:  Cloud-Indigenous Platforms 

This important trend is nicely underway.  Cloud-native has true traction amid providers nevertheless struggling to repurpose their applications portfolios as effectively as the use of cloud-indigenous platforms to make applications built upon containers, microservices, serverless capabilities and immutable infrastructure, deployed by using declarative code are frequent things of this architectural fashion … these methods enable loosely coupled devices that are resilient, workable, and observable.”   Yes.  Is this the foreseeable future?  No query.  So what’s new listed here?

Development 5:  Composable Applications

“Composable” purposes (and the much larger composable organization architecture) is as much about acquiring an API- and party driven- lifestyle as nearly anything else.  It’s also about legacy programs preservation, as a lot more and additional companies try to migrate absent from previous architectures all the way to cloud-indigenous standing without having far too a lot upheaval – which has been a target for years.  More not long ago, we extra very low code/no code for the growth of microservices-primarily based programs though reusing APIs as a great deal as probable, preferably within just a “modern” governance design.  

New-est title for an old objective.

Development 6:  Decision Intelligence 

How is this not a homage to analytics, circa 2010?  In 2021 we assume about automaton.  This is an previous development with a handful of somewhat new twists.

Development 7:  Hyperautomation

This just one speaks to automation developments.  If a person tracks the 4IR and the Future of Do the job, you now know all about automation.  Hyperautomation, in accordance to Gartner, is “a disciplined, organization-driven technique to rapidly determine, vet and automate as several small business and IT procedures as doable.”  This development has been in enjoy eternally.  Under the umbrella of robotic process automation (RPA) wherever procedures are modeled, mined, eliminated, modified, or automatic, the purpose has been a pattern — and an ongoing aspiration — for some time.

Craze 8:  AI Engineering

AI engineering is about most effective procedures for repeatable style and design, improvement and deployment.  OK.  But is this definitely a new development?  Or just just one that is been all-around for a although now, at minimum for 5 several years?

Trend 9:  Distributed Enterprises

This is where by digital transformation meets edge computing.

Trend 10:  Total Encounter

This has been aspirational for good.  Just Google it.  Who’s carrying out it?  There are pockets — this sort of as returning unboxed things from Amazon to Total Foods — but it is nevertheless illusive.  Who would not want seamless, quick and enjoyment TX? 

Trend 11: Autonomic Programs

Wow.  Sure.  Of program:  Autonomic devices are self-managed physical or computer software programs that understand from their environments and dynamically modify their individual algorithms in serious time to enhance their actions in sophisticated ecosystems.”  Why not? But a trend?

Pattern 12: Generative AI

Totally a long-term strategic objective.  If only generative AI was a discernible craze.

Traits Redux

Let’s fake that Gartner invited us to explain the tendencies we see.  What would they glimpse like?  Not what ought to they look like, but what they essentially are.  First, let us reorganize the Gartner traits into baskets and then evaluate how properly they are accomplishing out there.  

Three baskets soar out:


  • Decision Intelligence 
  • Hyperautomation
  • AI Engineering
  • Autonomic Programs
  • Generative AI


  • Details Fabric
  • Cybersecurity Mesh
  • Privacy-Maximizing Computation 
  • Cloud-Native Platforms


  • Composable Apps
  • Dispersed Enterprises
  • Complete Expertise

So what is happening out there that could be explained as developments?  Survey data indicates that there’s however some skepticism about how quickly executives believe they have to ramp up their AI and device discovering (ML) investments.  That reported, there’s a constant enhance in AI/ML pilots.  So which is a craze that will speed up about time so extended as effect is quantifiable.  We do know that developments in RPA are beneficial.  We know that there are new “Centers of Excellence” staying produced and we also know that the adoption of AI/ML is vertically pushed:  some industries are piloting apps much more than others.  There’s also a rank-purchasing of AI/ML apps, like chatbots (“conversational AI”) and choice purposes (these types of as selecting the most effective/worse candidates for financial loans, “admission,” and any binary selection).  We know that adoption prices are dependent on tactic, which has however to totally embrace clever systems as the potential that will outline rewarding expansion.  Deloitte reports that the distribution across “path seekers,” “transformers,” “starters” and “underachievers” in AI is tough, suggesting that a lot more than two thirds of organizations are not “high achievers.” Deloitte also experiences that firms are bullish on AI/ML, that ultimately they assume AI/ML to seriously impression their small business.  So the actual pattern is cautious optimism.

Details developments?  Analytics is now mainstream – at least by identify and intent.  But clear, built-in, obtainable information remains elusive.  Why?  The aged standbys, such as competing data formats across apps, “lost” facts, terrible info, duplicate information and no company knowledge architecture, are among the issues that have haunted us for many years.  So seamless, integrated and available info is an ongoing aspiration.  But trend?  Yes, if by craze we suggest investment decision developments.  Make no mistake this is an ongoing slog.  

Purposes architecture is finally obtaining some traction.  Companies are moving towards microservices-dependent apps as they get rid of their legacy programs from lifestyle aid.  “Applications rationalization” is a actual factor.  It saves money and moves the ball towards the microservices objective line.  Container engineering has progressed properly and, potentially most importantly, the important cloud vendors give a assortment of alternatives here.  Perhaps this is the serious craze.  Edge computing is part of this, and full expertise apps will always be what absolutely everyone strives to create.

Closing Thoughts

The most important trouble with Gartner’s (and other) trends lists is they can not assistance but be repetitive and overlapping, primarily with prior several years.  While points transfer rapid in technologies land, big trends – like apps architecture and AI – will be “trends” for several years.  “Updates” are appealing but not that practical.  Sure, a lot more folks are thinking about microservices and containers than they were being final calendar year, and much more companies are investing in AI pilots.  It’s difficult to explain truly new tendencies, so know-how prognosticators rename outdated ones with catchy names.  But some of the names are just as well evident.  Maybe future calendar year the developments will be new or the (re) names extra inventive. Or possibly they’ll just be termed aspirations.