Summary of Over 100 Data and Analytics Predictions Through 2025

Summary of Over 100 Data and Analytics Predictions Through 2025

Source: Gartner report for public access

  1. By 2023, 50% of chief digital of?cers in enterprises without a chief data of?cer (CDO) will need to become the de facto CDO to succeed.
  2. By 2024, widespread adoption of cloud will raise the CFO’s in?uence over the chief data of?cer’s (CDO’s) decisions due to explicit linkage of workloads to cost, bringing disruption to the CDO role.
  3. By 2024, 75% of organizations will have established a centralized data and analytics (D&A) center of excellence to support federated D&A initiatives and prevent?enterprise failure.
  4. By 2023, organizations with shared ontology, semantics, governance and stewardship processes to enable inter-enterprise data sharing will outperform those that don’t.???
  5. Through 2023, title in?ation will drive 50% of chief data of?cer (CDO) appointments, leading to the CDO being an internal service, rather than a strategic business peer.
  6. By 2024, 30% of organizations will invest in data and analytics governance platforms, thus increasing the business impact of trusted insights and new ef?ciencies.
  7. By 2024, most organizations will attempt trust-based data sharing programs, but only 15% will succeed and outperform their peers on most business metrics.
  8. By 2024, 60% of the data used for the development of AI and analytics solutions will be synthetically generated.
  9. By 2025, 80% of data and analytics governance initiatives focused on business outcomes, rather than data standards, will be considered essential business capabilities.
  10. Through 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance.
  11. By 2023, 30% of organizations will harness the collective intelligence of their analytics communities, outperforming competitors that rely solely on centralized analytics or self-service.
  12. By 2023, 60% of organizations will compose components from three or more analytics solutions to build business applications infused with analytics that connect insights to actions.
  13. By 2023, overall analytics adoption will increase from 35% to 50%, driven by vertical- and domain-speci?c augmented analytics solutions.
  14. By 2023, cloud architects will become key stakeholders when purchasing analytics and BI tools, as scalability and cohesive cloud ecosystems move into the top 3 key buying considerations.
  15. By 2023, organizations that scale graph techniques will deliver ?ve times more AI models, for multiple use cases, into production than those that don’t.
  16. By 2024, 70% of enterprises will use cloud and cloud-based AI infrastructure to operationalize AI, thereby signi?cantly alleviating concerns about integration and upscaling.
  17. By 2024, use of synthetic data and transfer learning will halve the volume of real data needed for machine learning.
  18. By 2024, the degree of manual effort required for the contract review process will be halved in enterprises that adopt advanced contract analytics solutions.
  19. By 2023, three-quarters of HR service management inquiries will be initiated through conversational platforms.
  20. By 2024, 10% of digital commerce orders will be predicted and initiated by AI.
  21. By 2023, ERP data will be the basis for 30% of AI-generated predictive analyses and forecasts.
  22. Through 2023, up to 10% of AI training data will be poisoned by benign or malicious actors.
  23. By 2025, the concentration of pretrained AI models among 1% of AI vendors will make responsible AI a societal concern.
  24. In 2023, 20% of successful account takeover attacks will use deepfakes to socially engineer users to turn over sensitive data or move money into criminal accounts.
  25. By 2024, 60% of AI providers will include a means to mitigate possible harm as part of their technologies.
  26. By 2025, 10% of governments will use a synthetic population with realistic behavior patterns to train AI while avoiding privacy and security concerns.
  27. By 2025, 75% of conversations at work will be recorded and analyzed, enabling the discovery of added organizational value and risk.
  28. By 2025, 50% of enterprises will have devised arti?cial intelligence (AI) orchestration platforms to operationalize AI, up from fewer than 10% in 2020.
  29. By 2025, AI will be the top category driving infrastructure decisions, due to the maturation of the AI market, resulting in a tenfold growth in compute requirements.
  30. By 2025, 50% of enterprises implementing AI orchestration platforms will use open- source technologies, alongside proprietary vendor offerings, to deliver state-of-the-art AI capabilities.
  31. By 2025, 50% of independent database management system (DBMS) vendors will cease operations, causing customers to adjust strategies and migrate back to their strategic DBMS suppliers.
  32. By 2024, organizations that utilize active metadata to enrich and deliver a dynamic data fabric will reduce time to integrated data delivery by 50% and improve the productivity of data teams by 20%.
  33. By 2024, 75% of organizations will have deployed multiple data hubs to drive mission-critical data and analytics sharing and governance.
  34. Through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives.
  35. By 2023, over 50% of employees in lines of business will be technology producers.
  36. By 2023, 70% of organizations will use value stream management to improve ?ow in the DevOps pipeline, leading to faster delivery of customer value.
  37. By 2024, cloud-native platforms will serve as the foundation for more than three- quarters of new digital workloads.
  38. By 2025, one-?fth of Internet of Things (IoT) devices could possess swarm intelligence, enabling them to serve as autonomic decision makers via AI systems and social networks, up from less than 5% in 2020.
  39. By 2023, 30% of companies will hire or rede?ne the chief technology of?cer role to accelerate technology-driven business model innovation.
  40. By 2024, 40% of enterprise architects will use innovation management as a bridge to using IT to drive business ef?ciency and transformation.
  41. By 2025, 50% of enterprises will have a formal cloud strategy, which will primarily be for enabling innovation.
  42. By 2023, more than 50% of technology innovation leaders will leverage personas and journey mapping to drive more impactful innovation projects.
  43. By 2025, 50% of large enterprises will enable transformational business models using “distributed cloud” services at a location of their choice.
  44. By 2023, 70% of mainstream organizations will use a composability metric to select new cloud applications and platform services.
  45. By 2025, 85% of organizations will run containers in production, up from less than 30% in 2020.
  46. By 2025, the proportion of current enterprise applications that are containerized will rise to 15%, up from 5% in 2020.
  47. By 2025, 85% of enterprises will have a cloud-?rst principle.
  48. Through 2023, enterprises that isolate/segment their campus network devices will experience 25% fewer successful cyberattacks.
  49. By 2023, 40% of all enterprise workloads will be deployed in cloud infrastructure and platform services, up from 20% in 2020.
  50. By year-end 2023, 20% of installed edge computing platforms will be delivered and managed by hyperscale cloud providers, compared to less than 1% in 2020.
  51. By 2023, 40% of product and platform teams will use AIOps for automated change risk analysis in DevOps pipelines, reducing unplanned downtime by 20%.
  52. Through 2022, 80% of organizations adopting cloud services without using a performance-focused approach for dependency mapping will experience a decrease in service quality levels.
  53. By 2024, 75% of organizations monitoring IaaS/PaaS environments will consume metrics via cloud providers’ APIs.
  54. By 2025, 70% of new cloud-native application monitoring will use open-source instrumentation instead of vendor-speci?c agents for improved interoperability.
  55. Through 2024, enhancements in digital workplace infrastructure processes driven by analytics and automatic remediation capabilities will refocus 30% of IT operations efforts, from support to continuous engineering.
  56. By 2023, organizations embedding privacy user experience into customer experience will enjoy greater trustworthiness and up to 20% more digital revenue than those that don’t.
  57. By 2023, organizations that do not excessively monitor remote working employees will experience up to 15% higher productivity than those that do.
  58. By 2025, 50% of large organizations will default to privacy-enhancing computation for processing data in untrusted environments and multiparty analytics use cases.
  59. By 2023, over 20% of organizations will use a data risk assessment to identify and manage appropriate privacy controls, despite a lack of guidance from regulators on how to implement it.
  60. By year-end 2025, multiple Internet of Behaviors (IoB) systems will elevate the risk of unintended consequences, potentially impacting over half of the world’s population.
  61. By 2022, 30% of all security teams will have increased the number of employees working remotely on a permanent basis.
  62. By 2025, 40% of boards of directors will have a dedicated cybersecurity committee overseen by a quali?ed board member, up from less than 10% today.
  63. By 2024, 60% of CISOs will establish critical partnerships with key market-facing executives in sales, ?nance and marketing, up from less than 20% today.
  64. By 2025, 50% of asset-intensive organizations will converge their cyber, physical and supply chain security teams under one chief security of?cer role that reports directly to the CEO.
  65. By 2025, cybersecurity mesh will support more than half of all IAM requests, paving the way to a more explicit, mobile and adaptive uni?ed access management model.
  66. By 2023, 40% of IAM application convergence will primarily be driven by MSSPs that focus on delivery of best-of-breed solutions in an integrated approach, shifting in?uence from product vendors to service partners.
  67. By 2024, 30% of large enterprises will newly implement identity-proo?ng tools to address common weaknesses in workforce identity life cycle processes.
  68. By 2024, a true global, portable, decentralized identity standard will emerge in the market to address business, personal, social and societal, and identity-invisible use cases.
  69. By 2022, 95% of organizations will require that identity-proo?ng vendors prove that they are minimizing demographic bias to protect their brand, up from less than 15% today.
  70. By 2024, 85% of fusion teams will use business architecture deliverables to guide strategy, drive customer centricity and design the composable enterprise.
  71. By 2024, 25% of organizations will have an AI architect role as part of the EA practice to operationalize and scale AI, up from less than 5% today.
  72. By 2024, 80% of organizations will use iterative, experimental methodologies such as design thinking, lean startup and agile to support business and product design.
  73. By 2024, organizations that have adopted a composable approach to application architecture will implement new features by at least 80% faster than the competition.
  74. By 2024, 25% of organizations will split their enterprise architecture function into two distinct groups: “business technology strategy” and “product architecture” to ensure EA delivers business value.
  75. By 2025, 50% of large enterprise IT SPVM teams will have dedicated data analyst roles, enabling high value insights that drive effective sourcing strategies.
  76. By 2025, 30% of enterprises will be using blockchain capabilities to source technology services and products, halving the time needed to onboard new vendors.
  77. By 2024, organizations that neglect employee experience analytics for MWS will lose 40% of their operational ef?ciency due to work?ow process loss.
  78. By 2023, 50% of clients of public cloud services will experience escalating costs and project failures resulting from poor management.
  79. Through 2022, steep demand growth for specialist skills in digital transformation and cloud application migration services will increase labor rates by 50%.
  80. By 2022, the combined effect of cloud and process standardization will result in over 40% of BPO services being delivered via business process as a service (BPaaS).
  81. From 2021 onward, 75% of all application services deals will be won by vendors that are prepared to commit to AI quality and improvement for contracted services.
  82. By 2025, dynamic program management of?ces (PMOs) will use predictive analytics, enabled by their own citizen data scientists, to deliver improved insights and results for digital business.
  83. By 2024, one or more technology megavendors will build or acquire targeted hyperautomation technologies, rendering 60% of the stand-alone RPA market offerings redundant.
  84. By 2024, 80% of hyperautomation offerings will have limited industry-speci?c depth mandating additional investment for IP, curated data, architecture, integration and development.
  85. By 2024, more than 70% of the large global enterprises will have over 70 concurrent hyperautomation initiatives mandating governance or facing signi?cant instability.
  86. By 2025, 80% of customer service organizations will have abandoned native mobile apps in favor of messaging for a better customer experience.
  87. By 2025, proactive (outbound) customer engagement interactions will outnumber reactive (inbound) customer engagement interactions.
  88. By 2025, one in 10 technology leaders will ?nd themselves the de facto leader of customer experience for their organization.
  89. By 2025, 80% of organizations will use digital adoption solutions (DAS) across the sales stack to overcome insuf?cient application user experiences (UXs).
  90. By 2025, 30% of large business-to-business (B2B) companies will use AI predictive analytics to drive all of their sales KPIs and insights.
  91. By 2025, 20% of B2B companies will see revenue growth from multiexperience sales due to a well-executed “everywhere customer” vision.
  92. By 2025, 50% of companies with indirect B2B sales will manage prospect data for their resell partners through partner relationship manager (PRM) technologies as a means for getting access to end-customer market data.
  93. By 2024, 80% of ordering and replenishment will be touchless for most organizations.
  94. By 2024, 15% of B2B organizations will use digital commerce platforms to support both its customers and sales reps in all sales activities.
  95. By 2024, leading commerce organizations will generate 10% of online revenue from services attached to physical products.
  96. By 2023, 30% of enterprise marketplaces will transition into a majority third-party seller model for better pro?tability.
  97. By 2022, organizations using multiple go-to-market approaches for digital commerce will outperform noncommerce organizations by 30 percentage points in sales growth.
  98. By 2023, ?ve countries will have launched digitization initiatives aimed at eliminating cash from circulation.
  99. By 2025, organizations that create a formal program for citizen development, analytics and automation will be far more agile than those that do not.
  100. By 2023, more than 10% of workers will seek to trick AI-driven metrics every day.
  101. By 2023, more than 40% of workers will work remotely at least one day a week, up from under 30% before COVID-19.
  102. By 2024, 50% of digital workplace services leaders will be promoted into direct CIO or CDO reports, up from 5% in 2020.
  103. By 2024, endpoint analytics and automation will help digital workplace service staff shift 30% of time spent on endpoint support and repair to continuous engineering.
  104. By 2024, 50% of digital workplace services leaders will be promoted from I&O to a CIO/chief digital of?cer (CDO) direct report, an increase from 5% in 2020.
  105. By 2025, over 65% of postimplementation ERP changes will be made by citizen developers using low-code application platforms.
  106. Through 2024, 30% of ?nancial planning and analysis (FP&A) implementations will be extended to support operation ?nance processes, and 50% will require a substantial extended planning and analysis model (XP&A) roadmap from the vendor.
  107. By 2024, at least 65% of large organizations will invest strategically in integration capabilities.
  108. In 2024, 45% of core ?nancial projects will simplify systems of record processes while improving analytical processes through the enablement of solutions to transform ?nance.
  109. Through 2024, 60% of organizations will seek AI use cases in native ?nancial management solutions.
  110. By 2023, 25% of large enterprises will conduct continuous, rather than periodic, strategic workforce planning processes.
  111. By 2024, 20% of HCM suite providers will use contingent labor as early examples of composable applications to improve total workforce visibility for HR.
  112. By 2024, 40% of organizations will deploy continuous learning technologies to better support organizational shifts toward real-time performance, feedback and coaching.
  113. By 2024, 80% of large-enterprise CIOs will have a neurodiversity talent strategy that will comprise 3% to 5% of their IT workforces.
  114. By 2025, 50% of large-enterprise IT leaders will require operations technology management (OTM) skills to support arti?cial intelligence (AI) and augmented intelligence.
  115. By 2024, legal departments will replace 20% of generalist lawyers with nonlawyer staff.
  116. By 2024, legal departments will have automated 50% of legal work related to major corporate transactions.
  117. By 2023, 50% of global product-centric enterprises will have invested in real-time transportation visibility platforms.
  118. Through 2024, 50% of supply chain organizations will invest in applications that support arti?cial intelligence and advanced analytics capabilities.
  119. By 2025, autonomous vehicles (AV) robotaxis will have expanded to 100 cities, signaling the end of personal car ownership in metropolitan areas.
  120. By 2025, the automotive retail landscape will be disrupted, with 20% of all new cars sold entirely online.
  121. By 2025, at least 25% of the revenue from vehicle options by premium carmakers will be enabled through digital upgrades, up from virtually none today.
  122. By 2023, transaction payments made through a vehicle will rise to $1 billion from less than $100 million today.
  123. By 2023, some electric vehicle (EV) users will be able to halve their vehicles’ cost of ownership by generating income from digitally enabled services.
  124. By YE21, 20% of static credit scoring algorithms will be obsolete and replaced by dynamic ones.
  125. By YE24, at least 40% of customer-facing staff will engage with external ecosystems directly to support client preferences and service their banking needs.
  126. By YE22, 25% of automation business cases will fail because they are based on FTE reduction rather than customer satisfaction or new revenue.
  127. By YE24, more than 50% of ?nancial services supporting vendors will offer no-code or low-code tools to enable non-IT employees.
  128. Through 2024, network-based CSPs who evolve their cloud network as a service using platform initiatives, marketplace and automation will increase from 5% in 2020 to 40%.
  129. Through 2025, the number of CSPs investing in arti?cial intelligence (AI) technologies for improving their infrastructure planning, operation and products will rise from 30% in 2020 to 70%.
  130. Through 2024, the number of CSPs implementing platforms for effective participation in digital ecosystems will rise from 10% in 2020 to 50%.
  131. By 2025, at least 30% of all CSPs will be using hyperscale cloud providers as their technology partners for cloud-native infrastructure and edge computing.
  132. By 2025, hyperscalers’ IoT mobile core network infrastructure will manage 20% of 5G IoT connectivity.
  133. By 2023, over 60% of governments will have tripled citizen digital services, but less than 25% will be integrated across organizational silos.
  134. By 2023, over 20% of governments will leverage a digital twin of government for at least one major system, up from 4% in 2020.
  135. The impact of COVID-19 triggered changes in mobility patterns, which puts even more emphasis on the need for data exchange and analytics across all mobility and transit providers.
  136. Advances in AI supporting conversational chatbot and robotic technologies have spurred the development of smart devices and information dissemination that support inclusion and opportunities for all society.
  137. By YE22, half of city open data portals will have failed to become ecosystem data exchanges due to lack of automated management.
  138. By YE23, two-thirds of all smart city economic development strategies will have Industrie 4.0, healthcare or tourism at their core.
  139. By YE22, one-quarter of all urban infrastructure developments will be based on asset value models used by the digital giants.
  140. By YE24, at least 50% of smart city initiatives will include smart management of the circular economy.
  141. By YE24, more than 50% of smart city programs without a multisource funding model will not scale beyond their original scope.
  142. By 2022, 30% of outpatient encounters will be virtual, representing 15% of revenue, and making the effectiveness of this new care setting a leading strategic objective for healthcare delivery organizations (HDOs).
  143. By 2023, 30% of HDOs will deploy virtual health assistants for digital patient triage, replacing humans in directing patients to the right level of care.
  144. By 2024, 20% of all health information exchanged among patients and providers will be consumer-mediated.
  145. By 2023, 35% of HDOs will have shifted work?ows outside the EHR to deliver better digital experiences.
  146. By 2023, payers will own 10% of the Fast Healthcare Interoperability Resources (FHIR) apps available on electronic health record (EHR) marketplaces — making integration payers’ biggest new revenue stream.
  147. By YE24, investment in AI enablement of knowledge workers will rise by 40% as insurers shift from automation to human support initiatives.
  148. By YE22, 75% of chief digital of?cers will shift focus to tactical initiatives aimed at automation and process optimization.
  149. By YE22, insurers’ lack of investment in speculative game-changing technologies will have caused the closure of 40% of innovation hubs and labs.
  150. By YE23, insurtech acquisitions will be driven by the need to buy talent and boost innovation, but 70% will fail to do either.
  151. By 2023, nearly half of new product lead candidates will come from preclinical research and development (R&D) research portfolios that have invested in AI- and quantum-generated drug discovery initiatives.
  152. By 2024, demand for life science sales representatives will be reduced by 30% through deployment of biobots — which will in turn increase prescriptions by 5%.
  153. By 2024, 40% of life science companies will have active digital and decentralized trial programs, with as many as 30% of patient visits conducted remotely.
  154. By 2023, 25% of top pharma will have composable supply chain architectures to address unique CGT requirements.
  155. By YE24, following the COVID-19 pandemic, more than 30% of manufacturers will have changed their business models, compared with just 10% before the crisis.
  156. By YE22, half of all Industrie 4.0 transformation programs will be failing because they are not linked to, accompanied by and measured by change leadership strategies.
  157. By YE23, half of all successful arti?cial intelligence (AI) implementations in manufacturing enterprises will be driven by a CIO-chief data of?cer (CDO) collaboration.
  158. By YE21, half of all manufacturing enterprises will have failed to recover from the impacts of the COVID-19 pandemic due to inconsistent analysis of ecosystem dependencies.
  159. By 2024, 75% of the top 20 global consumer goods companies will provide a digital experience to augment their physical product.
  160. By 2024, 70% of the top 50 global consumer goods companies will create direct-to- consumer (D2C) channels.
  161. By 2024, 70% of the highest-performing oil and gas assets will be optimized using large-scale digital twins.
  162. By 2024, augmented in-store associates in at least 10 Tier 1 retailers will execute inventory audits to support automated precision merchandising at the edge.
  163. By 2024, two of the top 10 global QSR brands will develop a collaborative food delivery marketplace to compete with third-party delivery aggregators.
  164. By 2023, ?ve Tier 1 grocery retailers will have adopted hybrid store models, installing go-style, smart check-out formats within their larger superstores.
  165. By 2024, one-third of all store technology solutions offered by vendors serving Tier 1 multichannel retailers will utilize edge computing.
  166. By 2024, at least 50% of all retail TSP revenue from merchandising and store operations applications will be realized through ecosystem partnerships.
  167. By 2025, 50% of vertical-speci?c software providers will leverage composable enterprise architectures to compete more effectively with generic SaaS.
  168. By 2023, AI and hyperautomation investments will double in banking, healthcare, retail, education and manufacturing due to demand from digital transformation projects.
  169. By 2023, ?nancial services vendors in CX that focus on user journey will win twice as many deals compared to singular CX focus.
  170. By 2025, 50% of Tier 1 banks will launch a banking-as-a-service offering as a way to leverage their technology investments.
  171. By 2023, 80% of healthcare technology product ?rms will have at least one AI capability embedded in their product itself.
  172. By 2020, 25% of new monitoring and control systems in the utility sector will use IoT to enhance algorithmic business capabilities.

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Disclaimer:?This publication contains general information and is not intended to be comprehensive nor to provide professional advice or services. This publication is not a substitute for such professional advice or services, and it should not be acted on or relied upon or used as a basis for any investment or other decision or action that may affect you or your business. Before taking any such decision you should consult a suitably qualified professional advisor. While reasonable effort has been made to ensure the accuracy of the information contained in this publication, this cannot be guaranteed, and neither associated organization nor any affiliate thereof or other related entity shall have any liability to any person or entity which relies on the information contained in this publication. Any such reliance is solely at the user’s risk. This article may contain references to other information sources.

Pavel Tseluyko

Founder of Merge | Design for Fintech

12 个月

amazing read

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Interesting read! It definitely shows the importance of adapting to change for businesses

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