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1、Emerging Tech Impact Radar:2023Gartner Research ExcerptTuong Nguyen,Annette Jump,Danielle Casey22 December 2022Gartner,Inc.|G00767259Page 1 of 75Emerging Tech Impact Radar:2023Published 22 December 2022-ID G00767259-104 min readBy Analyst(s):Tuong Nguyen,Annette Jump,Danielle CaseyInitiatives:Emergi
2、ng Technologies and Trends Impact on Products and ServicesFour themes define the most important emerging technologies fortechnology providers in 2023:the smart world,productivityrevolution,transparency and privacy,and critical enablers.Productleaders must explore these technologies now to capitalize
3、 onmarket opportunities.OverviewKey FindingsRecommendationsProduct leaders assessing the impact of emerging technologies and trends on productsand services must take the following steps:A fusion of emerging technologies is occurring,such as both the evolving physicalspaces and the interactions into
4、information-rich and contextually expandedphysical-virtual hybrid experiences.Advancements in artificial intelligence(AI)tools,technologies and applications arerapidly advancing the utility and automation potential of AI.Exponential growth in corporate and personal data collection will accelerate al
5、readyincreasing public,legislative and regulatory scrutiny.Critical enabling technologies,such as foundation models and neuromorphiccomputing,are allowing for previously unattainable technological advancement.Inturn,these enablers are fostering new business and monetization opportunities.Calibrate y
6、our investments in“smart world”foundations,such as digital humans,themetaverse,smart spaces,multimodal UI and digital twins,to deliver new customervalue through advanced interaction experiences.Gartner,Inc.|G00767259Page 2 of 75AnalysisOverview of the Emerging Tech Impact RadarThe Emerging Tech Impa
7、ct Radar highlights the technologies and trends that have themost potential to disrupt a broad cross-section of markets.In this document,we haveidentified 26 of the highest-impact emerging technologies and technology trends(seeFigure 1),organized around four key themes,which are critical for product
8、 leaders toevaluate as part of their competitive strategy.This radar summarizes(but is not limited to)the technologies and trends found in thisyears body of Impact Radar research and most closely aligned with(or most influentialto)the four themes:The Impact RadarFigure 1 shows the highest-impact eme
9、rging technologies and trends based on time toadoption.Overcome current AI limitations by exploring new tools that increase the value of AIapplications,such as edge AI,synthetic data and model compression.Mitigate litigation and negative brand association by proactively investing in techand trends t
10、o promote transparency and privacy,such as digital ethics,responsibleAI,human-centric computing,decentralized identity and homomorphic encryptionPrepare for the disruptive effects of critical enablers by assessing the impact ofinnovative AI algorithms(such as foundational models)and decentralization
11、 onyour product or service offering.Smart worldProductivity revolutionPrivacy and transparencyCritical enablersGartner,Inc.|G00767259Page 3 of 75Figure 1.Impact Radar for 2023The objective of this research is to guide product leaders on how emerging technologiesand trends are evolving and impacting
12、areas of interest.Providers can leverage thisknowledge to determine which technologies or trends are most important to the successof their business and when it makes sense to advance their products and services byinvesting in them.Refer to the How to Use the Impact Radar section for more information
13、.Emerging Technologies or Trend ProfilesTable 1 lists emerging technologies in 2023 according to their time to adoption.Click on atechnology name in the table to jump to a profile of the technology.Table 1.Most Impactful Emerging Technologies and Trends in 2023 Based on Time toAdoptionGartner,Inc.|G
14、00767259Page 4 of 75The technology profiles in Table 1 are alphabetized.For an explanation of Gartnersmethodology for assessing Impact Radar technologies,see Note 1.In addition to the technologies in Table 1,product leaders should track several longer-range technologies and be prepared to make early
15、 investments in them so as to be readyto utilize them when they come to maturity.These include:The Four Key ThemesThe Smart World Is Changing Our Daily LivesThe world as we know it is changing,and thanks to AI,everyday objects are gettingsmarter,interactions are shifting from only physical to virtua
16、l and hybrid.And at the sametime,physical spaces are becoming contextually aware environments.The worldtransformed by AI and digital technology is a smart world.It can offer transformativeexperiences in all aspects of business operations and daily lives of consumers,like:MetaverseDigital HumansGartn
17、er,Inc.|G00767259Page 5 of 75To reap the many benefits of the soon-to-be-smart world,tech providers should experimentearly with the empowering technologies for the smart world creation:digital humans,smart spaces,multimodal UI and digital twins.The maturity of those emergingtechnologies stretch acro
18、ss multiple ranges,from multimodal UI and digital twins in theone-to three-year range to metaverse and digital humans actualization in the outer ring ofthe emerging tech and trends radar.This radar highlights that the creation of the smartworld will happen gradually in the next five to eight years,c
19、onditional to development oftechnologies in critical enablers and transparency/privacy quadrants.Advances in AI Applications and Tools Are Enabling a Productivity RevolutionAdvances in AI are continually augmenting the productivity potential of AI applications,driving adoption.Edge AI is allowing mo
20、dels to be deployed on small,resource-constrained devices,moving intelligence closer to the point of data generation.It providesorganizations with real-time intelligence,allows models to run in remote environmentsand reduces solution costs by eliminating 24/7 data streams to the cloud.One of thebigg
21、est areas of opportunity in edge AI is computer vision,as the edge architecturedelivers significant performance improvements and benefits for computer visionapplications.Similarly,intelligent business applications are injecting optimization,advisory and decision-support capabilities into the process
22、-centric workflows of enterprisebusiness applications.Multimodal UI and digital humans(AI avatars)are transforming human-machineinteraction,making it more natural,as well as enabling a new era of intelligentsoftware.Digital twin adoption is expanding to help improve business decisions andoutcomes vi
23、a the visualization and support of smart robotic fleets,complexmanufacturing operations and smart cities or even individual objects,like a car or adigital human.Adjacent technologies such as IoT platforms and location services are supportingthe development of contextualized and real-time digital twi
24、ns due to the benefits ofmonitoring assets and products.The future collective 3D smart shared space will materialize in the metaverse thatmanifests from the combinatorial fusion of multiple technologies.A metaverseexperience will enable the convergence of the physical and digital worlds in apersiste
25、nt,contextualized and device-independent way,thus redefining theimmersive experiences capacity for transport,transform and transact.Gartner,Inc.|G00767259Page 6 of 75Key AI tools synthetic data and model compression are enabling organizations toovercome AI adoption inhibitors such as access to suffi
26、cient data and model size.Synthetic data is the synthetic generation of datasets to help organizations overcomedata access challenges to AI adoption.Further out in the adoption timeline is self-supervised learning,which eliminates human-in-the-loop from model training by enablinglabeled data to be c
27、reated from the data itself.This is useful when available data volumesare limited,or when the benefits of the machine learning(ML)solution do not outweighthe costs of manual labeling or annotating of data.Model compression can significantlyreduce a models size,with negligible performance impact,mean
28、ing larger,more complexalgorithms can be deployed on resource-constrained devices.Together,these technologieswill unlock new potential for existing and future AI applications.Advancements in AI tools,technologies and applications are improving the utility andautomation potential of AI and driving th
29、e productivity revolution.Transparency and Privacy Required to Foster Trust in the TechnologyThe organizations adoption and scaling of emerging technologies in the smart world willdepend not only on capabilities,maturity and ability to deliver business values,but alsoon sharp focus with regard to th
30、e transparency of AI decisions and regulatory compliance.Privacy and correct processing of personal data is a top priority for most tech providers,and it is a right that is protected by expanding regulatory changes(and accompanyinglitigation)across many countries.The challenge is further intensified
31、 by exponentialgrowth in corporate and personal data collection that feeds various AI models to supportreal-time decision making or intelligence.This challenge requires tech providers to beethical and responsible with AI-enabled systems from the design phase to mitigate AIrisks,deliver equitable out
32、comes,respect privacy and enable explainability of AI-basedoutcomes.Many technologies in this segment will uncover hidden sources of value withindata but will accomplish this in an ethical and responsible way,as well as provide a pathto protecting privacy in a future smart world.The technologies ena
33、bling transparency and privacy include digital ethics,responsible AI,human-centric computing,decentralized identity and homomorphic encryption.Themajority of emerging technologies in this category are still in early development,residingin the six-to eight-year range(with the exception of homomorphic
34、 computing residing inthe three-to six-year range).However,these technologies will be critical to facilitating theproductivity revolution and the mainstream adoption of the smart world from both asocietal trust and regulatory perspective.Strategic investment in those emergingtechnologies will enable
35、 tech providers to showcase their regulatory compliance andtransparency in AI-enabled solutions,and enhance competitive product differentiation.Gartner,Inc.|G00767259Page 7 of 75Critical Technology Enablers Are Driving the Next Generation of AI Applications and Web3Critical enabler technologies are
36、driving the next generation of AI applications and theevolution of Web3.Recent AI advancements,such as foundation models and graphtechnologies,are improving model intelligence and functionality.Foundation models areaugmenting the accuracy of transcription,language processing and text analytics.Meanw
37、hile,knowledge graphs architect relationships between data that deliver significantmodel performance improvements that are unachievable by linear decision trees.Inaddition to AI,hardware also plays an important role in enabling future applicationadvancement.For example,hyperscale edge computing and
38、neuromorphic computing willprovide higher compute capability,which means more complex and larger algorithms canrun closer to the point of data generation,delivering real-time intelligence and insight.These hardware developments,in conjunction with the aforementioned softwareadvancements,will enable
39、the next generation of high-performing AI applications.The evolution of Web3 is also driven by advancements in critical enabler technologies.Web3 is a new stack of technologies for the development of decentralized webapplications that enable users to control their own identity and data.Technologies
40、thatare enabling this advancement and control include blockchain and tokens,which arecreating new possibilities in how we manage digital trust,enable decentralization andexecute transactions,as well as exchange value across parties.As the economy continuesto digitalize,the need for digital mechanism
41、s to manage,exchange and secure physicaland virtual assets will only grow,driving demand for enabling Web3 technologies.These critical enablers are advancing the state of hardware and software performance,aswell as enabling the creation and advancement of the digital economy.Actionable,objective ins
42、ightAlready a client?Get access to even more resources in your client portal.Log InExplore these additional complimentary resources and tools for high tech leaders:ToolGartner Product DecisionsLearn how to build a more effective product strategy and roadmap.Learn MoreWebinarThe Gartner Emerging Tech
43、nologies and Trends in Security&Risk for 2023Explore key innovations and transformations in security.Watch NoweBookGartner Top Strategic Technology Trends for 2023See the 10 trends driving strategic impact in 2023 and beyond.Download NowWebinarCapitalize on Emerging Technology Trends That Will Shape
44、 the Next 8 YearsDiscover the highest impact emerging technologies and trends.Watch Now 2023 Gartner,Inc.and/or its affiliates.All rights reserved.CM_GTS_2118263Connect With UsLearn more about Gartner for High Tech Leaders connected to the latest insightsGet actionable,objective insight to deliver on your mission-critical priorities.Our expert guidance and tools enable faster,smarter decisions and stronger performance.Contact us to become a client:U.S.:1 844 466 7915International:+44(0)3330 603 501Become a Client