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Over 100 Data, Analytics and AI Predictions Through 2030

Sarah James

Senior Director Analyst

Alan D. Duncan

Distinguished VP Analyst

Our annual predictions highlight the continued impact

and influence of data, analytics and increasingly AI

across an ever-broadening range of industries and

initiatives. IT leaders should use these predictions to

enhance their strategic vision and delivery programs.

Sarah James

Senior Director Analyst

Alan D. Duncan

Distinguished VP Analyst

Over 100 Data, Analytics and AI Predictions Through 2030

Published 19 June 2024 — ID G00810465

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Analysis

Strategic planning assumptions (SPAs) — also known as “Gartner

predictions” — are statements of Gartner’s positions and actionable advice

about the future (see Figure 1).

SPAs help our clients identify, understand and plan for change, and the

business and human impacts arising. In particular, our data and analytics

SPAs examine how such capabilities might change in the coming years and

how you might use these to innovate and strengthen your capability.

Gartner clients have come to rely on our annual predictions both as input for

their strategic plans and as alerts to potentially disruptive changes. For most

enterprises, investments and other business decisions during the next few

years are likely to be made by finding a point of balance between the old and

the new. Anticipating change is more important than ever, and predicting the

point of balance then becomes a critical part of any strategic plan.

As evidenced by its pervasiveness within Gartner’s published Predicts

2024 research available to Gartner clients, data, analytics and AI are critical

elements across nearly all industries, business functions and IT disciplines in

both the private and public sector. Most significantly, data, analytics and AI

are key to a successful digital business. This collection of more than 100

data-and-analytics-related SPAs through 2030 summarizes predictions

released in Gartner’s Predicts 2024 series. Data and analytics leaders should

include these in their planning for successful strategies.

Over 100 Data, AnalyticsFigure 1: Gartner's Mainstream Predicts

Past Research

Source: Gartner

and AI Predictions Through 2030

Future Predictions

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Research Highlights

2023 was the year everything changed as generative AI (GenAI) exploded

into the collective consciousness through ChatGPT, rapidly followed by

a flurry of product innovation in the AI space. AI became immediately

accessible to all as never before, and therefore highly visible across our

organizations all the way up to the executive.

Data is the foundation of the promise of AI, representing a golden

opportunity for chief data and analytics officers (CDAOs) and other data

and analytics (D&A) leaders, potentially giving them the keys to the kingdom.

Without AI-ready data, the promise of AI will fail to materialize. Foundational

concepts of strong data management and governance are now on the

critical path to success, and happily, these can themselves benefit from

an accelerated path to impact powered by AI.

Now as AI investment and hype are at frenetic levels, 2024 is the

make-or-break year for D&A. As such, these Predicts now are tinged with

greater risk — the promise of success, but filled with a need for clarity,

priority and realizing value. Can data, analytics and AI deliver the goods?

The intense visibility and “heat” on AI presents a new opportunity for the

CDAO to bring D&A into the consciousness and interest of those who may

have previously resisted, creating nearly unlimited possibilities to create

business value with organizationwide influence and impact. In this rapidly

evolving landscape, speed to embrace and adapt to change will be a key

differentiator between data leaders who succeed and those who do not.

Over 100 Data, Analytics and AI Predictions Through 2030

Note that:

Planning for possible alternative future scenarios is a vital aspect of

modern leadership and required operating practices given the hopes

pinned on AI and the conflicted economic situation we face.

The point of an SPA is not to be “right.” The point is to provoke thinking

and provide direction.

Use SPAs as a basis for defining, refining and stress-testing your D&A

strategy and program planning.

Evaluate any near-term flags that indicate whether a prediction is

trending toward truth or away from it in order to prioritize investment

in your D&A operating model.

In general, predictions with longer time horizons have a lower

probability of coming true than those with shorter time horizons.

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Core Data and Analytics Predictions

Data and Analytics Leaders, Strategy and Innovation

The only constant is change. It can take many forms: cultural, technical or

economic. CDAOs often confront an environment that is volatile, complex

and ambiguous. To be successful, they must act as organizational

champions, value drivers, change agents and innovators.

Predicts 2024: Chief Data and Analytics Officers Must Lead Change

•By 2027, 60% of multinational corporations will adopt franchise models

for their regional chief data offices that address local maturity levels and

regulatory environments.

•By 2026, 75% of CDAOs who fail to make organizationwide influence and

measurable impact their top priority will be assimilated into technology

functions.

•By 2027, more than half of CDAOs will secure funding for data literacy and

AI literacy programs, fueled by enterprise failure to realize expected value

from GenAI.

•By 2028, 25% of CDAO vision statements will become “decision-centric,”

surpassing “data-driven” slogans, as human decision-making behaviors are

modeled to improve D&A value.

•By 2026, the CDAO’s ability to deliver data and AI literacy, culture change

and a skilled workforce will be a top three determining factor in supporting

business strategy.

Over 100 Data, Analytics and AI Predictions Through 2030

Many D&A governance and master data management (MDM) programs

continue to fail despite decades of effort. Working harder at cataloging data

issues and building large committees does not work. Successful best practices

exist but are not being used. To succeed, D&A leaders should jettison

outmoded practices.

Predicts 2024: Data and Analytics Governance Requires a Reset

• By 2027, 80% of D&A governance initiatives will fail due to a lack of a real

or manufactured crisis.

•By 2027, 75% of data, digital or analytics products will be made redundant,

or marketplaces shut down, as “too few ‘customers’ came to use them.”

•By 2027, 60% of organizations will fail to realize the anticipated value of their

AI use cases due to incohesive ethical governance frameworks.

•By 2027, 40% of CDAOs will have rebranded governance as business

enablement of strategic business initiatives from the outset.

•By 2027, the application of GenAI will accelerate time to value of D&A

governance and MDM programs by 40%.

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Analytics, Business Intelligence and Data Science

Analytics and AI continue to collide, with repercussions in multiple domains.

To leverage emerging opportunities and mitigate unknown risks, D&A leaders

must address the impact of AI analytics and data science ecosystems, user

behavior, roles and decisions.

Predicts 2024: How Artificial Intelligence Will Impact Analytics Users

•By 2025, 60% of analytics and business intelligence (ABI) platforms will

claim to enable decision intelligence, but only 10% will have a decision-

centric UI to model and track decisions.

•By 2025, 90% of current analytics content consumers will become content

creators enabled by AI.

•By 2025, 40% of ABI platform users will have circumvented governance

processes by sharing analytics content created from spreadsheets loaded

to a GenAI-enabled chatbot.

•By 2027, 75% of new analytics content will be contextualized for intelligent

applications through GenAI, enabling a composable connection between

insights and actions.

•By 2027, 50% of data analysts will be retrained as data scientists, and data

scientists will shift to AI engineers.

Over 100 Data, Analytics and AI Predictions Through 2030

By 75

2027

be between enabling applications of new contextualized analytics a insights composable through content and for GenAI,

intelligent

actions.

connection

will

Artificial Intelligence

GenAI is poised to accelerate all aspects of a tech CEO’s business. Winners will

be those who adopt the technology innovation quickly to gain an advantage.

From the way the organization is managed to how products and services are

sold to customers, the defining characteristic is speed.

Predicts 2024: GenAI Accelerates Product Cycles

•By 2028, new feature- and function-driven software product differentiation will

achieve at most a six-month competitive advantage due to rapid AI innovation.

GenAI is poised to have a profound impact on how work gets done. The

implications are beginning to play out, and these predictions point the way

toward a more productive digital employee experience. Not all consequences

are positive, and oversight is needed.

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Predicts 2024: AI’s Impact on the Employee Experience

•By 2028, GenAI will be so tightly woven into personal and team productivity

applications that it will scarcely merit comment by employees and will

require little, if any, oversight.

•By year-end 2025, AI agents will attend over 25% of virtual and hybrid

meetings, causing a shift in attendance and engagement by humans.

•By 2028, enterprises will enhance productivity by replacing 60% of SaaS

workplace applications that lack GenAI-driven capabilities with those that do.

•By 2026, 50% of governments worldwide will enforce use of responsible

AI through regulations, policies and the need for data privacy.

•By 2027, organizations will shift 80% of marketing content spend to

GenAI services, but effectiveness will plummet by 50% due to overwhelmed

consumers.

GenAI technologies are emerging at an unprecedented pace. This poses

significant challenges for IT leaders as they struggle to stay abreast of

industry developments and determine their evolution. We offer bold and

actionable predictions on the future of GenAI technologies.

Predicts 2024: The Future of Generative AI Technologies

• By 2026, 75% of businesses will use GenAI to create synthetic customer data,

up from less than 5% in 2023.

• By 2028, one-third of interactions with GenAI services will invoke action models

and autonomous agents for task completion.

Over 100 Data, Analytics and AI Predictions Through 2030

•By 2027, more than 50% of the GenAI models that enterprises use will be

domain-specific — specific to either an industry or business function — up from

approximately 1% in 2023.

•By 2027, more than half of the selection of development assets from technology

marketplaces will be performed by GenAI orchestration.

Data Management and Infrastructure

Security and risk management (SRM) leaders need to adopt a composable

view of data security. This research predicts that applying data security

innovations to pain points and advanced use cases will help SRM leaders’

organizations leverage their data for almost any use case.

Predicts 2024: IAM and Data Security Combine to Solve Long-Standing

Challenges

•Through 2026, organizations adopting top data practices within their identity

and access management (IAM) program will realize 40% improvement in

time-to-value delivery for IAM and data security program objectives.

•By 2027, organizations faced with AI and data security requirements will

standardize on policy-based access controls to unlock the value from more

than 70% of their data.

•By 2027, 70% of organizations will combine data loss prevention and insider

risk management (IRM) disciplines with IAM context to identify suspicious

behavior more effectively.

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IT Leadership Predictions

2023 was the year ChatGPT and GenAI unleashed massive creativity and

productivity potential. But the breadth and depth of the innovation affect

everything, and there is no simple path. This research offers insights for

executive leaders into understanding how predictions shape our thinking

Gartner’s Top Strategic Predictions for 2024 and Beyond — Living With

the Year Everything Changed

•By 2027, the productivity value of AI will be recognized as a primary

economic indicator of national power.

•By 2027, GenAI tools will be used to explain legacy business applications

and create appropriate replacements, reducing modernization costs by 70%.

•By 2028, there will be more smart robots than frontline workers in

manufacturing, retail and logistics due to labor shortages.

•Through 2026, 30% of large companies will have a dedicated business unit

or sales channels to access fast-growing “machine customer” markets.

•By 2028, enterprise spend on battling malinformation will surpass $30

billion, cannibalizing 10% of marketing and cybersecurity budgets to combat

a multifront threat.

•By 2028, the rate of unionization among knowledge workers will increase

by 1,000%, motivated by the adoption of GenAI.

Over 100 Data, Analytics and AI Predictions Through 2030

By 2027

GenAI tools will be used to explain

legacy business applications and create

appropriate replacements, reducing

modernization costs by 70%.

Technology innovation leaders must consider forces across seven areas of

Gartner’s Tapestry Framework. These forces will impact people, principles and

profit while encouraging organizations to accelerate innovation to mitigate

and exploit the predictions here, from the Gartner Futures Lab.

Predicts 2024: Prepare Today for the Impact of Future Forces

••By 2025, 70% of enterprises will deploy at least one enterprisewide GenAI

application, but less than 10% will realize the expected ROI.

By 2025, low trust in AI-generated content will reduce customer engagement

by 50%, driving new urgency that makes engagement the top indicator of

performance.

•By 2028, multiple members of the G20 will adopt regulations to clearly

mitigate the risks of misuse and perceived sentience of AI, setting the

groundwork for defined AI rights.

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Over 100 Data, Analytics and AI Predictions Through 2030

Cloud Computing

Cloud computing’s role as a key driver of technology innovation continues

unabated. Infrastructure and operations (I&O) leaders look to the cloud to drive

their initiatives around GenAI, composable applications and sustainability while

keeping a keen eye on cloud expenditure and sovereignty challenges.

Predicts 2024: Unraveling Tomorrow’s Cloud Computing Landscape

•By 2027, 70% of enterprises adopting GenAI will cite sustainability and digital

sovereignty as top criteria for selecting between different public cloud

GenAI services.

•By 2027, 80% of AI-generated SaaS applications will be up to 80%

composite for efficiency of human-AI digital engineering.

•GreenOps and sustainability-enabled monitoring services to manage the

carbon footprint of cloud workloads will rise from 5% in 2024 to 40% by 2027.

•Through 2026, 70% of organizations will expand their cloud investments

with specialty cloud providers to support specific business requirements

including digital sovereignty.

Data and AI Security and Privacy Predictions

Gartner predicts that AI will durably disrupt cybersecurity in positive ways but

also create many short-term disillusions. SRM leaders need to accept that 2023

was only the start for GenAI, and prepare for its evolutions.

Predicts 2024: AI & Cybersecurity — Turning Disruption Into an Opportunity

•By 2028, multiagent AI in threat detection and incident response will rise from

5% to 70% of AI implementations to primarily augment, not replace, staff.

•Through 2025, GenAI will cause a spike of cybersecurity resources required

to secure it, causing more than a 15% incremental spend on application and

data security.

•By 2026, 40% of development organizations will use the AI-based

autoremediation of unsecure code from application security testing (AST)

vendors as a default, up from less than 5% in 2023.

•By 2026, attacks using AI-generated deepfakes on face biometrics will mean

that 30% of enterprises will no longer consider such identity verification and

authentication solutions to be reliable in isolation.

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Over 100 Data, Analytics and AI Predictions Through 2030

Predicts 2024: CPS Security — Turbulence Ahead

•By 2027, government advisories and novel, AI-based attacks will spur 65% of

organizations to embrace CPS threat modeling, up from less than 25% today.

•By 2028, 75% of end users will have to update their Purdue model–based

architectures to account for cyber-physical systems that use IP, cloud or

private, mobile-networks-based communications.

Smart assets will want to send data from the built-in smart

sensors to a plant optimization platform. This platform may

be on-premises or in the cloud, but it will most likely not

reside within the same realm as the smart asset.

Predicts 2024: CPS Security — Turbulence Ahead

Organizations want to benchmark their zero-trust networking progress against

a maturity model. SRM leaders need to know where their peers are and how

to set the baseline and future maturity goals for their zero-trust networking

implementations.

Predicts 2024: Zero Trust Journey to Maturity

•By 2027, 70% of organizations will stall in their deployments of zero trust

unless better technology is developed that functions as policy decision

points by vendors.

•Through 2025, over 90% of all SD-WAN, campus switching and data center

switching products implemented by enterprises will not support the three

primary requirements of zero-trust networking.

Augmented cybersecurity leadership ties human talent to technology

capabilities to balance organizational growth aspirations and cyber risk. SRM

leaders of the future will be AI-enabled, human-centric decision makers who

effectively steer through turbulent times.

Predicts 2024: Augmented Cybersecurity Leadership Is Needed to Navigate

Turbulent Times

•By 2026, enterprises combining GenAI with an integrated platforms-based

architecture in security behavior and culture programs will experience 40%

fewer employee-driven cybersecurity incidents.

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Enterprise Architecture

Chief enterprise architects are being asked to look beyond IT estate

management alone. The advent of AI has increased the hype of opportunity

and expectations, but shaping this discipline is not based on just one trend.

Franchising reinvigorates enterprise architecture (EA) to deliver value to IT

and business alike.

Predicts 2024: Enterprise Architecture and Franchising Delivers New Value

•By 2027, 75% of organizations will enrich business architecture by

connecting financial benefits to digital investment decisions.

•By 2027, 60% of EA leaders will focus upon productivity technologies

like autonomous business design and machine workforce automation to

demonstrate greater value of EA to business leaders.

•By 2027, 60% of centralized EA functions will face an identity crisis as the

work is increasingly delivered by adjacent business and IT functional units.

•By 2027, 60% of EA teams will centralize architecture legacy management

for both IT and business processes to provide investment optimization

options to decision makers.

Over 100 Data, Analytics and AI Predictions Through 2030

There is increasing distinction among executive roles

such as chief data officer (CDO), chief information security

officer (CISO) and chief technology officer (CTO). These

distinctions may see related domain architect roles such as

data architects, security architects, cloud architects and

infrastructure architects report outside of the EA practice

and into these dedicated executive offices.

Predicts 2024: Enterprise Architecture and Franchising Delivers New Value

By 2027

of EA leaders will focus upon

productivity technologies like

autonomous business design and

machine workforce automation

to demonstrate greater value

of EA to business leaders.

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Over 100 Data, Analytics and AI Predictions Through 2030

IT Infrastructure and Operations

I&O leaders have traditionally operated infrastructure in silos, but Gartner

expects an evolution to a platform-based approach to drive scale, agility and

better business outcomes. This research highlights five predictions on this

transition to infrastructure platforms.

Predicts 2024: Mind the Gap Between Infrastructure and Infrastructure

Platforms

•By 2028, more than 70% of enterprises will alter their data center strategies due

to limited energy supplies, which is a major increase from less than 5% in 2023.

•By 2028, 50% of enterprise platforms will leverage specialized infrastructures to

support AI infusion, which is a significant increase from less than 10% in 2023.

Edge computing interest and adoption are increasing across vertical

industries, and enabling technologies are maturing. I&O leaders need to work

with their lines of business on edge computing, and evaluate solutions that

accelerate deployments and support extensibility.

Predicts 2024: Edge Computing Technologies Are Gaining Traction and Maturity

• By 2026, at least 50% of edge computing deployments will involve machine

learning (ML), compared with 5% in 2022.

• By 2027, approximately 5% of large enterprises will deploy a hyperscaler

distributed cloud solution for edge computing workloads outside data centers.

• By 2027, two-thirds of Tier 1 multichannel retailers will have edge computing

deployed in their stores.

By 2027

more than 40% of digital workplace

operational activities will be performed

using management tools that are

enhanced by GenAI, dramatically

reducing the labor required.

Predicts 2024: Generative AI Will Transform IT Infrastructure and Operations

•By 2027, GenAI will create more IT support and knowledge-based articles

than humans will.

•By 2027, more than 40% of digital workplace operational activities will

be performed using management tools that are enhanced by GenAI,

dramatically reducing the labor required.

Tools like ChatGPT highlighted GenAI’s potential to create new, derived

versions of content, designs and methods by learning from repositories

of original source content. IT leaders must understand the impact these

technologies can have on the delivery of services and talent to their

organizations.

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Predicts 2024: Generative AI Boosts IT Service Delivery and Productivity

•By 2028, 60% of IT services will be powered by the trifecta of GenAI,

hyperautomation and metaverse, radically changing the services

buyer landscape.

Disruption stemming from the shift to SaaS by enterprise software vendors,

the geopolitical climate and GenAI will impact IT vendor risks. Sourcing,

procurement and vendor management (SPVM) leaders should develop

new perspectives and embrace change to mitigate risks and capitalize on

opportunities.

Predicts 2024: Geopolitics, SaaS and Generative AI Impact IT Vendor Risk

• By 2027, geopolitical issues will increase the defaults in SaaS contract

commitments, impacting over 50% of subscribers.

• By 2028, GenAI’s ability to decipher software and cloud vendor contracts will

decrease the risk of noncompliance in software and cloud contracts by 30%.

During conflicts, SaaS providers’ capacity to maintain data

center loads is strained to the point where they are unable

to deliver on promised service levels, such as uptime,

performance and risk of service outages.

Predicts 2024: Geopolitics, SaaS and Generative AI Impact IT Vendor Risk

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Over 100 Data, Analytics and AI Predictions Through 2030

The use of artificial intelligence with AI-powered

monitoring systems to identify data anomalies in traffic

and telemetry, coupled with advances in root cause

analysis, will see a rise in the number of incidents that

can be autonomously remediated.

Predicts 2024 — Multicloud and Sustainability Drive Modernization

I&O leaders deliver stable services built upon changing technology

platforms; however, business conditions are changing as rapidly as

technology. I&O leaders should use these four predictions to stabilize

operations as organizations further adapt to the changing conditions.

Predicts 2024 — Multicloud and Sustainability Drive Modernization

•By 2028, 75% of organizations will have decentralized their service desks,

with all support needs being met by product-centric teams.

•By 2027, 80% of organizations will see a reduction in spend on traditional

network monitoring tools, due to remote work, cloud migration and

improved network visibility through observability and analytics tools.

•By 2026, 50% of organizations will adopt “sustainability-enabled” monitoring

to manage energy consumption and carbon footprint metrics for their

hybrid-cloud environments.

•By 2027, 25% of cloud portability initiatives will be automatically migrated across

multicloud platforms, driven by cost-efficiency and sustainability metrics.

Project, Program and Portfolio Management

Strategic portfolio leaders must plan for the future while maintaining

responsiveness for the constant disruptions of the “never normal.” Use these

predictions and their accompanying recommendations to update your 2024

strategic plans.

Predicts 2024: Strategic Portfolio Leaders Must Plan for the “Never Normal”

•By 2026, 70% of job titles will shift from a portfolio, program, project (3Ps)

hierarchy to role-based descriptors due to the increase of AI in strategic

portfolio management.

Specialization in either portfolio, program or project

management will be less relevant as AI impacts much of the

data collection and manipulation carried out by these roles.

Predicts 2024: Strategic Portfolio Leaders Must Plan for the “Never Normal”

Over 100 Data, Analytics and AI Predictions Through 2030

Procurement

IT sourcing is in the midst of an environmental revolution. Environmental

performance and transparency are now core to enterprise reputation and

strategy. IT leaders must set a course for sourcing transformation to select,

contract and manage vendors with aligned environmental credentials.

Predicts 2024: Sustainability Reshapes IT Sourcing and Procurement

•By 2027, 50% of technology sourcing decisions will use environmental

sustainability as a core selection and disqualification criterion.

•By 2027, over 50% of enterprises will pay IT premiums of 10% or more

annually to purchase alternatives that satisfy sustainability objectives.

•By 2027, 50% of organizations with software and cloud contracts that lack

environmental sustainability commitments will risk noncompliance with

nonfinancial disclosure regulations.

To support competitive advantage, solutions that are

proven to meaningfully address sustainability goals through

independently verified data will become attractive.

Predicts 2024: Sustainability Reshapes IT Sourcing and Procurement

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Sourcing initiatives are rapidly evolving toward business value and speed.

SPVM leaders must diligently evolve their sourcing processes to reap the

benefits of these trends when outsourcing services.

Predicts 2024: Agility, Sustainability and Value Creation Will Drive

Sourcing Decisions

•By 2027, 80% of SPVM teams will utilize a dynamic sourcing approach

for infrastructure and applications sourcing, shifting to a value-based

metrics approach.

IT SPVM talent spans four generations, but many in leadership positions

will retire within the next three years. New leaders will emerge as the talent

landscape shifts, and they will transform and redefine the value brought

by the IT SPVM function.

Predicts 2024: Generational Change Will Drive IT Sourcing and Procurement

Transformation

•By 2027, 40% of IT SPVM functions will evolve evaluations and metrics to

address shifting definitions of “value” driven by generational change.

The use of GenAI tools and techniques in IT projects will likely carry long-

term pricing implications, license compliance costs and contractual risks.

SPVM leaders must negotiate contractual concessions and protections to

gain long-term benefits from GenAI use.

Over 100 Data, Analytics and AI Predictions Through 2030

Predicts 2024: Demand for Generative AI Will Drive Higher IT Contracting

Risks and Costs

•By 2027, a majority of organizations’ enterprise application software costs

will increase by at least 40% due to GenAI product pricing and packaging.

•By 2027, software license compliance fees will increase by at least 20% due

to a failure to address GenAI-related risks in contracts.

•By 2027, 80% of IT contracts that do not explicitly call for responsible use of

GenAI will fail to deliver desired outcomes.

Procurement technology is rapidly evolving and changing how procurement

will be executed in the future. This research helps chief procurement officers

understand how technology is impacting the future of procurement and make

plans now to address predicted impact on process, staffing and execution.

Predicts 2024: CPOs Adjust to Technology’s Impact on Procurement

•By 2026, advanced proficiency in data and technology competencies will

be equally as important as social and creative competencies (i.e., soft skills)

for procurement staff.

•By 2027, 50% of organizations will support supplier contract negotiations

through the use of AI-enabled contract risk analysis and redlining tools.

•By 2029, 80% of human decisions will not be replaced, only augmented by

GenAI, as humans will maintain their comparative advantages in ingenuity,

creativity and knowledge.

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Software Engineering

Software engineering leadership roles and responsibilities are affected

by organizational constraints, industry shifts, technology advancement and

societal change. Software engineering leaders should use these risk and

disruption predictions to lead in their roles with continuity and confidence.

Software Engineering Predicts 2024: Leadership During Disruption

•By 2027, 25% of software defects escaping to production will result from

a lack of human oversight of AI-generated code, which is a major increase

from less than 1% in 2023.

•By 2027, a digital backlash against new software solutions and experiences

will prompt organizations to cut their budgets for application development

in half, compared with 2024.

For 40% of the respondents in Gartner’s 2024 CIO and

Tech Executive Survey, budgets are already stagnant or

decreasing. At the same time, the priorities of IT budgets

are toward securing existing technology or better utilizing

current assets, such as data, through higher investment for

data and analytics initiatives, indicated in the same survey.

Software Engineering Predicts 2024: Leadership During Disruption

Over 100 Data, Analytics and AI Predictions Through 2030

The hype around GenAI in software engineering has shifted to code

generation, which is only one aspect of the software development life cycle.

Software engineering leaders must prepare to adopt GenAI in other areas such

as skills acquisition, testing and accessibility, and application modernization.

Predicts 2024: Generative AI Is Reshaping Software Engineering

• By 2026, 90% of organizations will rank AI/ML features as the most

important selection criterion for test automation technology.

Emerging Tech

Organizations adopting earth intelligence need help deriving value from

existing data rather than in acquiring more data. Product leaders should

examine implementation, use-case, industry and business value trends to

identify and successfully pursue emerging market opportunities.

Emerging Tech: Adoption Trends for Earth Intelligence

•In 2025, over 50% of venture capital investment into NewSpace technologies

will be for analyzing data from space, up from 31% in 2021.

•By 2030, over 60% of outdoor asset insurance claims will be subject to

validation by automated Earth observation (EO) data analysis, compared with

less than 5% in 2022.

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Digital Business Function Predictions

CRM Sales and Digital Commerce

IT leaders continue to optimize and invest in their CRM strategy and machine

customers, digital experience and customer experience initiatives. This

research highlights predictions on the potential impacts in 2024 and beyond.

Predicts 2024: Machine Customers, GenAI for CX, Composable DXP

•Through 2026, 30% of large companies will have a dedicated business unit

or sales channels to access fast-growing machine customer markets.

•By 2026, those organizations employing GenAI in their CX will achieve 10%

higher CX maturity than those that do not.

B2B sales can evolve into a more inclusive, tech-forward and versatile

profession. Chief sales officers (CSOs) leveraging neurodivergent talent, the

growth of GenAI and a bottom-up approach to unified commercial strategies

will be more likely to hit revenue goals with existing resources than their peers.

Predicts 2024: Evolving the B2B Seller Role

• By 2025, 35% of CSOs will resource a centralized “GenAI operations” team

as part of their go-to-market (GTM) organization.

Over 100 Data, Analytics and AI Predictions Through 2030

By 2026

those organizations employing GenAI

in their CX will achieve 10% higher

CX maturity than those that do not.

Digital Workplace

Digital workplace I&O leaders have four priorities: improve sustainability

to meet ESG goals, digital employee experience, create collaborative

workspaces and incorporate DEI initiatives. In 2024, I&O leaders must

advance their strategy to properly balance these objectives.

Predicts 2024: Build a Sustainable and Collaborative Digital Workplace

Infrastructure

•By 2027, 80% of digital workplace leaders will integrate digital workplace

tools with ESG management and reporting tools, up from less than 5% today.

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Human Resources and Talent Management

New waves of innovation in AI, ongoing talent challenges and macro trends

such as climate change make managing HR technology portfolios more

challenging. HR technology leaders should use this research to prepare

for the next set of capabilities that will challenge the status quo.

Predicts 2024: The Impact of AI on HR Technology Transformation

•By 2027, less than 15% of customers with access to GenAI summarization

or content creation in their talent management applications will enable

either of these capabilities.

•By 2028, 35% of talent analytics teams in large global organizations will

perform predictive analysis on the impact of extreme weather events on

talent, recruitment and overall worker productivity.

•By 2026, a new AI-native core HR application will emerge to challenge

incumbent cloud human capital management (HCM) suites.

By 35

2028

of the large perform events talent impact global on predictive analytics talent, of organizations extreme recruitment

teams analysis weather

will

and overall worker productivity.

Over 100 Data, Analytics and AI Predictions Through 2030

Legal and Compliance

Legal leaders are facing increased pressure to adapt and respond to the

opportunities and risks that GenAI imposes on legal technologies. This

research offers insights into how GenAI could transform the future of the

legal technology market.

Predicts 2024: The Transformative Impact of Generative AI on Legal Technologies

• By 2027, the global legal technology market will double in size as a result

of GenAI, reaching a value of $50 billion.

• By 2027, 80% of vendors will incorporate GenAI platform capabilities into

their governance, risk and compliance (GRC) technologies.

• By 2027, the percentage of legal requests answered by self-service tools

designed for the business will increase from low single digits to at least 20%.

• By 2027, the average organization will increase its adoption of anomaly

detection and misconduct reporting solutions by 50% due to GenAI

capabilities, which will fuel regulator and enforcement agency pressures.

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Marketing

GenAI capabilities are being adopted primarily for marketing efficiency gains

or speed. To prepare for more fundamental shifts beyond their direct control,

product marketers must address disruptions in key marketing channels,

engagement approaches and required investments.

Predicts 2024: How GenAI Will Reshape Tech Marketing

•By 2027, GenAI will accelerate the development and adoption of immersive

customer engagement for 70% of technology and service providers.

Chief marketing officers (CMOs) are bracing for an AI-powered future as AI

radically reshapes social media and search landscapes, creative work, brand

positioning and perceptions of truth. Use this research to prepare and

position your organization for disruption.

Brands and their customers will demand transparency

on the sources for GenAI being used. Data hygiene will be

fundamental to success when using large language models

(LLMs) because these models are only as accurate as the

data used to feed them.

Predicts 2024: How AI Will Reshape Marketing

Over 100 Data, Analytics and AI Predictions Through 2030

Predicts 2024: How AI Will Reshape Marketing

•By 2026, 60% of CMOs will adopt content authenticity technology,

enhanced monitoring and brand-endorsed user-generated content (UGC)

to protect their brands from deception unleashed by GenAI.

•By 2025, a perceived decay in the quality of social media sites will push

50% of consumers to significantly limit their use of major platforms.

•By 2028, brands’ organic search traffic will decrease by 50% or more as

consumers embrace GenAI-powered search.

A majority of consumers (53%) believe the current state of

social media has decayed compared to either the prior year

or to five years ago. The spread of misinformation, toxic user

bases and the prevalence of fake accounts/bots were top

reasons listed for this perceived decay.

Predicts 2024: How AI Will Reshape Marketing

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Supply Chain Planning and Operations

Technology is seen as a critical enabler of competitive advantage, and

leaders often cite improving their position as a key driver for investing in

supply chain technology. Supply chain technology leaders can use this

research to discover where future risks and opportunities lie.

Predicts 2024: Supply Chain Technology

• By 2028, 25% of supply chain KPI reporting will be powered by GenAI models.

• By 2026, 15% of supply chain software offerings will actualize software bills

of materials (SBOMs) to thwart cyberattacks.

SBOMs give the cyber defender the traceability data

required to continuously monitor blocks of software

code (regardless of origin) to determine if there are

known vulnerabilities. Armed with this knowledge, cyber

defenders can continuously update and patch software

code to thwart cyberattacks.

Predicts 2024: Supply Chain Technology

Over 100 Data, Analytics and AI Predictions Through 2030

By 2028

of reporting by supply GenAI chain models.

will be KPI

powered

GenAI promises a new solution to an age-old problem: costly assisted

service. We expect that customer service and support leaders who leverage

GenAI to enable human contact will be more successful than those who

leverage it to reduce human contact by eliminating assisted service.

Predicts 2024: Customer Service and Support Strategy and Leadership

• By 2027, a company’s GenAI chatbot will directly lead to the death of

a customer from bad information it provides.

Companies challenged with optimizing logistics operations need more

foresight into macro trends and developing technologies that improve

efficiencies and agility. Logistics leaders should incorporate the actionable

predictions in this research to optimize logistics strategies.

Predicts 2024: Logistics

• By 2028, 25% of all logistics KPI reporting will be powered by GenAI,

enabling new value from vast stores of content.

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Industry Predictions

Automotive and Smart Mobility

In 2024, automakers will still wrestle with shifts caused by software and

electrification’s increasing roles. This research helps automotive CIOs

understand key industry trends, including LEO satellite connectivity, electric

vehicle (EV) cost reductions and the obstacles autonomous vehicles face.

Top Automotive Trends for 2024

• By 2030, the average automaker will use AI in 80% of its high-value processes,

up from 20% today.

• By 2027, the market for car data sales will be dominated by organizations and

marketplaces not exclusively focused on data brokerage.

• By 2027, 30% of software-defined vehicles will feature a digital twin 2.0 of at

least one vehicle system as opposed to less than 1% today.

Over 100 Data, Analytics and AI Predictions Through 2030

Banking and Investment Services

Investment firms are looking at this period of uncertain economic environment

and falling revenue as an opportunity for strategic investments to improve

performance and growth. CIOs will need to prioritize initiatives targeted toward

significantly enhancing productivity of, and from, IT initiatives.

Predicts 2024: Investment Management Drives Productivity Amid Uncertainty

•By 2025, 50% of investment firms will adopt data ecosystems to automate the

data life cycle from discovery to delivery, reducing the cost of attaining and

managing data by 40%.

By 30

2027

will opposed at of software-defined least feature one to a vehicle less digital than system twin vehicles

1% today.

2.0 as

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Communications Service Providers (CSPs) and Telecommunications

CSPs’ intense focus on digital acceleration and business transformation

requires tech providers to reinvent product design and delivery models.

Product leaders’ strategies must anticipate disruption from GenAI, API

exposure, sustainability demands and techno-nationalism.

Predicts 2024: Reinvent Product Design and Delivery for the

Communications Industry

•By 2027, 80% of CSP network applications will expose network functionality

or data through APIs for monetization.

•By 2027, 70% of CSPs will include a sustainability mandate in their

procurement processes.

•By 2028, 70% of vendors to CSPs will have revised their product manufacturing

and specifications to address techno-nationalism-based mandates.

Suppliers ... need to develop a roadmap for automated

data exchange and real-time data that can be provided to

CSPs, for a range of sustainability-related metrics.

Predicts 2024: Reinvent Product Design and Delivery for the

Communications Industry

Over 100 Data, Analytics and AI Predictions Through 2030

CSP CIOs and tech leaders are investing in technologies (e.g., the cloud, AI

and ML) that scale operational efficiency. They need a long-term business vision,

an appropriate operating model and organizational capabilities evolution.

Predicts 2024: CSP Technology and Operations Strategies

• By 2028, a global market for communications equipment will devolve into two

or more regional markets, each with its own technology stack.

• By 2028, 70% of current CSP workforce technical skills will be made obsolete

by automation, augmented intelligence and delayering.

• By 2025, 70% of CSPs will implement optimization tools and practices to

reduce cloud operations cost, compared with 5% in 2022.

5G monetization and digital channels to scale growth and increase digital

service penetration across B2B segments are key priorities for CSPs. CSP

product leaders can identify enterprise and ecosystem behavior changes that

can be leveraged to accelerate growth.

Predicts 2024: Enterprise Communication Services

• By 2027, Tier 1 CSPs deploying a self-service digital path to purchase and

fulfill security services will grow from 1% in 2023 to 25%.

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By 2028

over 70% of teaching, research and

student-submitted content at all levels

of education will be developed with

support from GenAI.

Education

Education CIOs are evaluating GenAI’s potential and managing its risks.

This challenge, along with the continued need for operational efficiency,

student experience and competitiveness, creates a complex landscape

that education CIOs must plan to navigate.

Predicts 2024: Education Automation, Adaptability and Acceleration

••By 2028, over 70% of teaching, research and student-submitted content

at all levels of education will be developed with support from GenAI.

By 2028, 65% of higher education CIOs will identify improving operating

margins as the critical digital technology investment outcome, up from

32% in 2024.

Over 100 Data, Analytics and AI Predictions Through 2030

Environmental, Social and Governance (ESG)

Increasing regulation and market requirements are magnifying the business

impact of sustainability risks and opportunities. Executive leaders need to

project the ways in which the upcoming changes will disrupt their industries

and use this insight to their competitive advantage.

Predicts 2024: Paving the Way for Long-Term Progress in Sustainability

•By 2026, 50% of G20 members will experience monthly electricity rationing,

turning energy-aware operations into either a competitive advantage or

a major failure risk.

•By 2027, 20% of the S&P 500 will cite greenwashing as a risk factor in 10-K

reports, strengthening rigor in sustainability commitments.

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Government

Government Digital Transformation

Government CIOs will continue to respond to GenAI hype, risk and

opportunities in 2024. Along with the pressure to help their organizations

achieve their mission through the strategic use of technology, they will see

new approaches to governance and decisions around these technologies.

Predicts 2024: Government CIOs Must Prepare for an AI-Enabled Future

• By 2027, less than 25% of government organizations will have GenAI-enabled

citizen-facing services.

• By 2026, more than 60% of government organizations will prioritize

investment in business process automation, up from 35% in 2022.

To manage AI, software supply chain security and zero trust, the U.S. federal

government issued bold policies that pose new challenges in resourcing

and implementation for CIOs. The background and recommendations in

this research can assist CIOs in achieving policy objectives.

Predicts 2024: U.S. Federal Government

• By 2027, the U.S. Office of Management and Budget (OMB) will establish

mandated scorecards to promote agency AI maturity and risk management.

Over 100 Data, Analytics and AI Predictions Through 2030

Automation is key to justice and public safety organizations facing shifting

public expectations while, in many regions, dealing with shrinking talent

pools. CIOs must focus on ethically expanding the use of data and

technology to lead their organizations in achieving mission outcomes.

Predicts 2024: Automation and Data Improve Justice and Public Safety

•By 2027, public safety and justice organizations will support 30% more

data-sharing partners, necessitating the implementation of automated data

discovery.

•By 2026, over 65% of public safety organizations will establish an ethics

framework to guide the use of predictive analytics for proactive incident

response.

Human and social services have deep organizational challenges, as

economic stresses and geopolitical instability continue to put pressure on

families. Through 2024, CIOs should use available technologies to reduce

costs, align risks and deliver externally recognizable societal and mission

outcomes.

Predicts 2024: Prioritize Business Outcomes in Human Services Technology

Investments

•By 2027, 40% of human services organizations will focus on outcome-based

analytics, with process-based analytics used only for internal operational

management.

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Transportation

Airports are at the heart of an ecosystem of data-consuming partners across

the aviation industry. If one plane is late, all organizations must adapt. Airport

CIOs should develop a data-driven ecosystem framework to optimize logistics

and promote and standardize exchanges within the entire ecosystem.

Use an Airport Ecosystem Framework to Monetize Passenger Services

• By 2025, 30% of the airport organizations in the world will have data

monetization products and services, up from less than 10% in 2022.

Defense

Defense organizations face challenges with investments in emerging space

technologies, advances in quantum computing and new policies related to

AI supporting military operations. IT leaders, including defense CIOs, will

gain insights into addressing these challenges with this research.

Predicts 2024: Emerging Defense Technology and New Domains

• By 2026, 75% of defense organizations will publish AI policies that address

bias, accountability and the law of armed conflict.

Healthcare

Workforce shortages, the rising cost of care and pressure to deliver better

experiences are forcing U.S. healthcare payers to reconceptualize how they do

business. Payer CIOs can use these predictions to protect against rising risks,

identify how to capitalize on investments and sustain growth.

Over 100 Data, Analytics and AI Predictions Through 2030

Predicts 2024: U.S. Healthcare Payers’ Future Demands Bold Change

•By 2027, payers who have increased investments in employee experience

will see at least a 10-point improvement in customer experience and quality

metrics — and increased revenue.

•By 2025, 80% of the value realized by payers that have invested in GenAI will

be in employee productivity, engagement and retention.

•By 2027, payers — not life science manufacturers or venture capital firms —

will be the primary investors in, and proponents of, digital therapeutics.

•By 2025, 25% of payers will divert funding from acute case management to

focus resources on algorithmically defined rising-risk populations.

•By 2025, 50% of core administrative platform RFPs will specify a requirement

for a composable architecture to enable a “build your own platform”

approach.

The piecemeal approach that payers must take to obtain

data from providers is costly, administratively demanding

and abrasive to providers. Data sharing between providers

and payers will continue to worsen their relationships until

payers’ core systems can ingest and use unstructured data

in a meaningful way.

Predicts 2024: U.S. Healthcare Payers’ Future Demands Bold Change

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Healthcare providers are actively evaluating AI technologies and use cases.

The potential is metamorphic and will help reduce clinician burnout, improve

patient experiences and democratize data. Provider CIOs should use these

predictions to prepare for the impact of AI on care delivery.

Predicts 2024: Healthcare Delivery, AI’s Proving Grounds

•By 2027, clinicians will have reduced the time spent on clinical

documentation tasks by 50% through the use of GenAI technologies

integrated into the electronic health record (EHR) improving clinician

and patient experience.

•By 2027, the average daily amount of data collected from inpatient rooms

will exceed that of the average ICU bed today.

By 20

2025

of market on their insurers customer CX differentiation.

strategies will value enhance

to to focus

support

Over 100 Data, Analytics and AI Predictions Through 2030

Insurance

Gartner’s 2024 insurance SPAs focus on technologies such as GenAI and

hyperautomation that go beyond the tried and true and shift the balance to

a more innovative portfolio of IT spending. Insurance CIOs must rebalance

their technology spending to achieve new ROI.

Predicts 2024: Insurance CIOs Must Adopt Ambitious IT Agendas to Achieve ROI

• By 2026, approximately 40% of insurers will have invested in copilot

technology to fuel productivity enhancements in underwriting, claims,

distribution and service.

• By 2028, the early advantage in productivity and operating costs created by

GenAI will be commoditized and will no longer be differentiating.

• By 2028, one-third of insurers will offer autoadapting products that change

their construct in response to customer data.

• By 2025, 20% of insurers will enhance their CX strategies to focus on

customer value to support market differentiation.

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Life Sciences

Life science organizations are embracing advanced technologies, including

AI, automation and digitization, to drive greater efficiency, productivity and

sustainability across the entire value chain. CIOs can use these predictions

to prepare for how these advances will shape the industry.

Predicts 2024: Generative AI Brings New Value to Life Sciences

•By 2026, investment in experimental and computational lab integration and

translational capabilities will double, due to subpar real-world performance

of AI-generated drugs.

•By 2026, use of virtual assistants in 30% of life science organizations

will decrease the number of sales representatives while accelerating

business growth.

•By 2027, 25% of life science organizations will implement IT solutions that

enable holistic sustainability decisions across the entire product life cycle.

By 25

2027

will product decisions that of life implement enable science life across holistic cycle.

organizations

IT the solutions

sustainability

entire

Over 100 Data, Analytics and AI Predictions Through 2030

Manufacturing

Gartner predicts that consumer goods (CG) companies will leverage AI and

GenAI with other technologies, such as IoT and digital twins, to profitably

transform themselves. CG CIOs must prioritize digital investments to scale

personalized products and improve customer experiences for margin and

revenue growth.

Predicts 2024: AI Powers Personalization, Revenue Growth and Efficiency in

Consumer Goods

•By 2027, adoption of AI-based tools to capture and deliver personalized

products will grow three times up to 80% from less than 25% in 2024.

Oil and Gas

Oil and gas companies are refocused on traditional value chains, and digital

transformation efforts show technology is essential for future operational

excellence. To prepare for growing tension between old and new notions

for exploiting technology, CIOs can use this research to align strategies.

Predicts 2024: Oil and Gas — Traditional Value Chains and Transformed

Operations

••By 2028, more than 50% of oil and gas companies will modernize their

strategy for operational excellence by making intelligent assets the primary

objective of digital investment.

By 2026, GenAI will unlock radical productivity gains for 30% of oil and

gas companies by providing low-friction pathways for silo-spanning

collaboration.

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Technology and Service Providers (TSPs)

Rapid adoption of GenAI and increasing sustainability expectations from

businesses across industries are intensifying competition among industry

tech vendors. To survive and thrive in challenging market conditions, product

leaders must remain focused on solving industry-specific problems.

Predicts 2024: Industry Providers Win With GenAI, Marketplaces and Sustainability

•By 2026, M&A among TSPs will have increased by 50% from 2023 levels

due to higher demand for industry-specific applications that use GenAI.

•By 2025, 70% of support requests initiated through GenAI-powered

chatbots will demand human oversight due to customers’ mistrust,

increasing service costs by 40%.

•By 2026, TSPs without an LCA module will lose 50% of the total addressable

market for this solution.

Products’ life cycle assessment (LCA) data will be a critical

differentiator as part of the bidding and contracting

process. Customers are moving toward a circular economy

and expecting greater transparency on how vendors help

to meet their greenhouse gas (GHG) emissions goals.

Predicts 2024: Industry Providers Win With GenAI, Marketplaces

and Sustainability

Over 100 Data, Analytics and AI Predictions Through 2030

Composable modularity remains a growing architecture and investment

objective for tech buyers, as it serves the increasingly urgent demand for

greater business agility. Gartner’s SPAs guide product leaders to respond

to the changing markets for early competitive advantage.

Predicts 2024: Composable Modularity Shapes the New Digital Foundation

•By 2027, 30% of enterprises will use data ecosystems enhanced with

elements of data fabric supporting composable application architecture

to achieve a significant competitive advantage.

After 2022’s endorsement of analyst relations (AR) as a strategic function, AR

leaders must now deliver greater commercial impact. Stakeholder demand will

drive fundamental change in AR’s relationship with revenue contribution, from

performance metrics to evaluations, even threatening the very existence of

regional AR.

Predicts 2024: Analyst Relations Must Rethink Its Relationship With Revenue

• By 2027, revenue contribution will be AR’s top performance metric, up from

sixth place in 2023.

• By 2027, AR teams will participate in 30% fewer annual evaluation reports

than in 2023.

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Utilities

As the number and range of distributed energy resources (DERs) connecting

to power networks grow, so does the complexity of their integration and

management. These predictions highlight the evolving challenges of DERs

and how utilities CIOs play a key role in their successful integration.

Predicts 2024: Power and Utilities, Disruption of DERs

•By 2026, 50% of power companies will use monthly electricity rationing

to manage demand volatility, losing commercial and industrial (C&I)

revenue to self-generation.

•By 2027, 20% of power utilities will use open energy data, exchanged

on country-specific cloud infrastructure owned by utility consortiums

to secure energy availability.

Over 100 Data, Analytics and AI Predictions Through 2030

By 20

2027

consortiums infrastructure on open of power country-specific energy utilities to data, owned secure will exchanged

cloud

use

by energy

utility

availability.

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Data Analytics Ai Predictions Through 2030

Data Analytics Ai Predictions Through 2030