Enlyft Market Insights: The State of AI Readiness in 2025 PDF Free Download
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Enlyft Market Insights
AI Readiness in 2025
The current state of AI readiness across the U.S. market, offering
actionable insights for technology sellers and GTM leaders
Table of Contents
Intro ........................................................................................................................................ 3
Methodology ..................................................................................................................5
AI Adoption ......................................................................................................................6
Company Size ............................................................................................................ 7
IT spend .......................................................................................................................... 8
AI Readiness ...................................................................................................................9
SMB Top Industries ...............................................................................................10
Mid-market Top Industries .............................................................................. 11
Enterprise Top Industries .................................................................................12
AI Focus ..............................................................................................................................13
SMB Industries ..........................................................................................................14
Mid-market Industries ....................................................................................... 15
Enterprise Industries .......................................................................................... 16
AI Opportunities ........................................................................................................17
Key Insights ................................................................................................................ 18
Closing ..............................................................................................................................20
Articial intelligence (AI) has emerged as a critical driver
of innovation and efciency across industries, shaping the
competitive landscape for organizations of all sizes.
While many companies aspire to leverage AI,
the reality of adoption and readiness often varies
signicantly. Understanding the nuances of AI
readiness is essential for uncovering new growth
opportunities and positioning businesses to succeed
in an increasingly AI-driven marketplace.
Powered by Enlyft’s proprietary data platform—which
offers real-time access to insights on rmographics,
technology usage, and buying intent on over 30M
companies globally—this report draws on rich datasets
to build the predictive models behind its insights.
This report aims to provide a
comprehensive analysis of AI adoption
trends for 2025, uncovering key focus
areas and revealing how organizations
are prioritizing their AI investments.
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Enlyft Market Insights: The State of AI Readiness in 2025 AI FocusAI ReadinessIntro AI Adoption AI Opportunities
How are AI adoption trends
inuenced by company size
and IT budgets?
Which focus areas are driving
AI investment decisions?
This report answers critical questions, including:
What industries are leading
in AI adoption, and which are
forecasted to grow in 2025?
What opportunities exist
for AI technology sellers to
identify and engage with
the most ready companies?
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Enlyft Market Insights: The State of AI Readiness in 2025 AI FocusAI ReadinessIntro AI Adoption AI Opportunities
Our Approach
The insights presented in this report are grounded in Enlyft’s extensive
modeling and analysis:
AI Adoption Framework
Denes adoption as the integration and company use of
AI technologies along with the hiring of AI specic roles.
Scope of Analysis
Focused on the U.S. market, analyzing over 700,000 companies
with 50+ employees to understand adoption trends and
investment priorities.
Who This Report is for
This report is designed to equip technology sellers with the
intelligence needed to navigate the evolving AI landscape. By
understanding the focus areas and adoption drivers across SMBs,
mid-market companies, and enterprises, readers can strategically
position themselves to support customers’ AI journeys. Whether
helping companies scale their AI infrastructure or enhance data
management practices, these insights will inform decision-making
and foster competitive differentiation in a rapidly transforming market.
Data Collection and Analysis Process
Job Description Text Analysis
Enlyft’s model scans job postings for keywords and
phrases related to AI, such as “AI software,” “machine
learning,” “AI-powered products,” and “AI solutions.”
It identies the specic AI focus areas mentioned,
such as infrastructure, data management, and security.
Industry and Role Categorization
Each job posting is categorized by industry and role
to determine where AI adoption is most prevalent and
how it aligns with business goals.
Predictive Insights
The model extrapolates current trends to predict how
AI adoption will evolve by 2025, focusing on industries
and companies with high potential for growth.
Snapshot: Enlyft’s Methodology for
Predicting AI Adoption in 2025
To predict AI adoption levels in 2025, Enlyft developed
a sophisticated model that analyzes job postings across
industries. By examining the text within job descriptions,
our model identies mentions of AI technologies,
applications, and roles, providing actionable insights
into how organizations are planning for and integrating
AI into their operations.
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Enlyft Market Insights: The State of AI Readiness in 2025 AI FocusAI ReadinessIntro AI Adoption AI Opportunities
1
AI Adoption Trends
by Company Size
and IT Spend
Articial intelligence adoption varies
signicantly by company size and
IT spending capacity, with clear
trends indicating how resource
availability and organizational scale
inuence the readiness to integrate
AI technologies. Below, we explore
the current levels of AI adoption, the
predicted increases by 2025, and
the insights driving these trends.
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Enlyft Market Insights: The State of AI Readiness in 2025 Intro AI FocusAI ReadinessAI Adoption AI Opportunities
50-200 200-500 500-1000 1000-5000 5000-10000 >10000
AI Adoption by Company Size
% AI Adoption 2025 % Increase
Resource Availability Drives Adoption
Larger companies have more resources to invest in AI infrastructure, talent, and
use cases, resulting in higher adoption rates.
Mid-Market Growth Potential
Companies with 500–5,000 employees are primed for AI adoption as they
seek competitive advantages and operational efciency.
Small Businesses Face Barriers
Limited budgets, expertise, and a lack of scalable AI solutions contribute to
slow adoption among smaller organizations.
AI Adoption by
Company Size
23%
of large enterprise
companies have
adopted AI
Trends
2%
of small business
companies have
adopted AI
12%
of mid-market
companies (500-
5,000) will mature
in AI readiness
2025 Predictions
5%
of enterprise
companies (5,000-
10,000) will mature
in AI readiness
AI adoption differs by company size, with large enterprises
leading the way, while mid-market rms are set to accelerate
adoption in 2025. Small businesses, however, have been slower
to integrate AI due to resource constraints.
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Enlyft Market Insights: The State of AI Readiness in 2025 Intro AI FocusAI ReadinessAI Adoption AI Opportunities
IT Spend Correlates with AI Adoption
Higher IT budgets allow organizations to explore advanced AI use cases, invest
in infrastructure, and hire skilled talent.
Middle-Tier IT Spenders Accelerating Adoption
Companies with $5M-$100M in IT budgets are increasingly adopting AI as they
achieve economies of scale and prioritize digital transformation.
Budget Constraints for Low Spenders
Organizations with IT budgets below $500K face challenges in justifying
AI investments, given competing priorities and the high cost of implementation.
AI Adoption
by IT Spend
61%
adoption rate
of organizations
spending >$500M
Trends
42%
adoption rate of
organizations spending
$100M–500M
15%
of organizations
spending $5M-25M will
mature in AI readiness
2025 Predictions
3%
of organizations
spending >$500M will
mature in AI readiness
AI adoption aligns with IT budgets—higher spenders invest in
advanced AI, while lower spenders face cost challenges. Mid-
tier companies are accelerating adoption to scale and optimize.
% AI Adoption 2025 % Increase
100M-
500M
25M-
100M
5M-
25M
1M-
5M
500-
1M
100K-
500K
50K-
100K
0-
50K
>500M
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Enlyft Market Insights: The State of AI Readiness in 2025 Intro AI FocusAI ReadinessAI Adoption AI Opportunities
2
AI Readiness and Adoption
Trends for 2025 by Industry
This section delves into the current AI adoption
levels and projected growth rates across industries
within each company size group. From the dynamic
innovation of SMBs to the strategic scaling of enterprise
organizations, the analysis highlights how industries are
embracing AI to enhance efciency, drive innovation, and
maintain a competitive edge. By understanding these
trends, stakeholders can identify the most promising
opportunities for AI adoption in 2025 and beyond.
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Enlyft Market Insights: The State of AI Readiness in 2025 Intro AI FocusAI ReadinessAI Adoption AI Opportunities
Challenges and Opportunities
Resource Constraints
SMBs often struggle to allocate resources for AI implementation due to limited budgets and technical
expertise. However, the rise of cost-effective, cloud-based AI solutions is bridging this gap.
AI’s Democratization
With traditionally low AI adoption, such as Machinery (2%) and Electrical/Electronic Manufacturing
(3%), show gradual increases, driven by access to scalable and user-friendly AI tools.
Sector-Specic Growth
Industries with specialized AI applications, like Medical Devices (5% adoption; 9% growth) and
Oil & Energy (2% adoption; 8% growth), highlight the role of tailored solutions in fostering adoption.
Small and Medium-Sized
Businesses Trends
Top Industries Investing in AI in 2025
Small and medium-sized businesses (SMBs) are emerging as a critical
segment in the AI adoption landscape. Their increasing reliance on
AI highlights the transformative potential of this technology across
diverse industries. The data below identies current AI adoption levels
and predicted growth rates through 2025, focusing on SMB industries
with the most signicant opportunities.
% AI Adoption 2025 % Increase
Defense & Space
Computer & Network Security
Aviation & Aerospace
Industrial Automation
Machinery
Information Technology and Services
Biotechnology
Internet
Marketing and Advertising
Electrical/Electronic Manufacturing
Medical Devices
Oil & Energy
Computer Software
Human Resources
Telecommunications
15% adoption 25% predicted growth
SMBs in Defense & Space are rapidly embracing AI, driven by
the need for enhanced cybersecurity, autonomous systems, and
predictive analytics.
Defense & Space
12% adoption 16% predicted growth
This sector’s focus on protecting sensitive data and combating evolving
cyber threats is fueling AI adoption.
Computer & Network Security
5% adoption 16% predicted growth
Although current adoption is modest, the predicted growth reects
a shift toward AI-powered systems for optimizing logistics and safety.
Aviation & Aerospace
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Enlyft Market Insights: The State of AI Readiness in 2025 Intro AI FocusAI ReadinessAI Adoption AI Opportunities
Challenges and Opportunities
Sectors with High Adoption and Sustained Growth
Industries such as Defense & Space and Biotechnology already exhibit high AI adoption rates,
indicating early maturity in integrating AI. Their continued growth signals ongoing innovation and
increasing reliance on AI-driven processes.
Emerging AI Adopters
Industries like Utilities, Construction, and Food & Beverages show a steep growth trajectory, reecting
early-stage investments in AI technologies. These sectors are expected to experience transformative
operational efciencies as AI adoption accelerates.
Mid-Market Trends
Top Industries Investing in AI in 2025
As articial intelligence continues to transform industries, mid-market
companies (500–5000 employees) are increasingly embracing
AI technologies to drive innovation and efciency. Our analysis
highlights notable trends in AI adoption and predicts signicant growth
in 2025. Below, we explore key industries with the most intriguing
developments in AI adoption rates and projected increases.
% AI Adoption 2025 % Increase
Utilities
Defense & Space
Oil & Energy
Construction
Banking
Food & Beverages
Machinery
Electrical/Electronic Manufacturing
Manufacturing
Government Administration
Biotechnology
Pharmaceuticals
Transportation/Trucking/Railroad
Automotive
Medical Devices
15% adoption 23% predicted growth
Leading the charge in AI adoption growth, driven by the sector’s focus
on optimizing energy consumption, improving grid management, and
enhancing customer service.
Utilities
41% adoption 22% predicted growth
Already a leader in AI adoption, Defense & Space continues to innovate
with autonomous systems, cybersecurity enhancements, and real-time
decision-making tools.
Defense & Space
6% adoption 21% predicted growth
This sector is rapidly integrating AI to streamline exploration processes,
optimize production, and improve safety protocols.
Oil & Gas
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Enlyft Market Insights: The State of AI Readiness in 2025 Intro AI FocusAI ReadinessAI Adoption AI Opportunities
Challenges and Opportunities
Saturation in Leading Industries
Industries like Utilities and Medical Devices show slower growth, indicating that many enterprises
have already integrated AI into their operations. The challenge lies in scaling these implementations.
High Growth in Manufacturing
The sharp increase in AI adoption within Electrical/Electronic Manufacturing reects expanding
opportunities to leverage AI in production automation and predictive analytics.
Healthcare Transformation
The healthcare sector’s double-digit growth highlights the expanding role of AI in improving patient
outcomes and reducing costs through data-driven decision-making.
Enterprise
Top Industries Investing in AI in 2025
Enterprise organizations are at the forefront of AI adoption, leveraging
their resources to implement advanced technologies at scale. The data
highlights industries leading the charge in current AI adoption rates
and projected growth by 2025. Below, we explore the most noteworthy
trends and the factors driving AI adoption in enterprise settings.
% AI Adoption 2025 % Increase
Electrical/Electronic Manufacturing
Transportation/Trucking/Railroad
Food & Beverages
Manufacturing
Hospital & Health Care
Machinery
Retail
Government Administration
Utilities
Education Management
Entertainment
Automotive
Medical Devices
Oil & Energy
Pharmaceuticals
41% adoption 9% predicted growth
The Utilities sector’s leadership in AI adoption is fueled by its use
of predictive analytics, smart grid technologies, and operational
automation to optimize energy distribution and reduce downtime.
Utilities
36% adoption 16% predicted growth
Enterprises in this industry are increasingly adopting AI for quality
control, predictive maintenance, and supply chain optimization.
Electrical/Electronic Manufacturing
37% adoption 6% predicted growth
High current adoption reects the industry’s reliance on AI for innovation
in product design, diagnostics, and regulatory compliance.
Medical Devices
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Enlyft Market Insights: The State of AI Readiness in 2025 Intro AI FocusAI ReadinessAI Adoption AI Opportunities
3
AI Focus Areas
by Industry
Through Enlyft’s modeling, we
identied three primary focus
areas for AI adoption in 2025:
Building & Managing AI
Infrastructure, Data Management,
and Security & Compliance.
This was done by examining the
specic mentions and applications of AI
technologies in operational workows,
our models pinpointed these areas as
critical drivers of AI adoption. These
focus areas reect how organizations
of various sizes are leveraging AI to
address unique operational challenges,
enhance data utilization, and ensure
adherence to regulatory requirements.
In this section of the report, we explore
these focus areas across the top
industries segmented by company
size groups—SMBs, mid-market
companies, and large enterprises. The
analysis reveals how AI priorities differ
by organizational scale and industry,
shedding light on the trends driving
AI adoption in 2025.
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Enlyft Market Insights: The State of AI Readiness in 2025 Intro AI FocusAI ReadinessAI Adoption AI Opportunities
Challenges and Opportunities
Resource Allocation
Many SMBs allocate resources selectively, focusing on areas like data management over
infrastructure, which may create scalability challenges as AI use expands.
Compliance Variability
While some industries like Defense & Space and Network Security lead in AI adoption
for compliance, others lag behind due to fewer immediate regulatory pressures.
Scalability Needs
High investment in AI infrastructure in sectors like Computer Software and IT Services suggests
a long-term focus on scaling AI capabilities, while industries like Machinery and Industrial Automation
lag, likely constrained by cost and technical expertise.
SMB Focus Areas
Small and medium-sized businesses are using AI to enhance efciency,
manage data effectively, and ensure compliance in increasingly
competitive environments. These focus areas reect SMBs’ strategic
efforts to remain agile while addressing operational challenges and
leveraging AI-driven insights.
Building & Managing AI Infrastructure Data Management Security & Compliance
Defense & Space
Computer & Network Security
Aviation & Aerospace
Industrial Automation
Machinery
Information Technology and Services
Biotechnology
Internet
Marketing and Advertising
Electrical/Electronic Manufacturing
Medical Devices
Oil & Energy
Computer Software
Human Resources
Telecommunications
Top Industries & Insights by AI Focus Area
Building & Managing AI Infrastructure
Sectors like Computer Software (42%), Information Technology &
Services (40%), and Computer & Network Security (37%) are leading
in AI infrastructure investment. Their focus is on supporting innovative
technologies, enhancing cybersecurity, and building AI-driven systems
for operational efciency.
Security & Compliance
Industries such as Computer & Network Security (92%) and
Defense & Space (69%) prioritize AI for threat detection, risk
management, and compliance with strict regulations. Their reliance
on AI underscores its critical role in ensuring cybersecurity and
maintaining mission-critical operations.
Data Management
Industries like Biotechnology (58%) and Computer Software (47%)
rely on AI for managing vast data sets, supporting innovation, and
streamlining complex processes. Additionally, Electrical/Electronic
Manufacturing (45%) highlights AI’s role in optimizing production
workows and supply chain management.
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Enlyft Market Insights: The State of AI Readiness in 2025 Intro AI FocusAI ReadinessAI Adoption AI Opportunities
Challenges and Opportunities
Data-Driven Industries Lead in Data Management
Sectors like Manufacturing, Biotechnology, and Medical Devices demonstrate a strong reliance
on AI for managing and extracting insights from vast amounts of data.
Highly Regulated Sectors Focus on Security & Compliance
Defense & Space and Banking show the most substantial focus on AI for security and
compliance. This reects the critical importance of mitigating risks and maintaining trust
in environments with high regulatory scrutiny.
Diverse AI Infrastructure Investments
Banking and Transportation emerge as leaders in AI infrastructure development, suggesting
a need to scale and sustain AI capabilities for real-time decision-making and operational efciency.
Mid-Market Focus Areas
Top Industries & Insights by AI Focus Area
Mid-market organizations are embracing AI to align with operational
and strategic goals. Their focus on infrastructure, data management,
and compliance underscores their position as a rapidly maturing
segment that balances scalability with innovation.
Building & Managing AI Infrastructure Data Management Security & Compliance
Utilities
Defense & Space
Oil & Energy
Construction
Banking
Food & Beverages
Machinery
Electrical/Electronic Manufacturing
Manufacturing
Government Administration
Biotechnology
Pharmaceuticals
Transportation/Trucking/Railroad
Automotive
Medical Devices
Building & Managing AI Infrastructure
In 2025, Banking (18%) will continue investing in AI infrastructure to
enhance fraud detection, risk management, and nancial automation.
Transportation/Trucking/Railroad (14%) will focus on AI-driven
logistics and operational efciencies to streamline supply chains and
improve real-time decision-making.
Security & Compliance
As security threats and regulatory demands increase, Defense & Space
(18%) will advance AI capabilities for cybersecurity and mission-critical
operations. Pharmaceuticals (18%) will focus on AI-driven compliance
and data protection to meet strict industry regulations. Banking (14%)
will further adopt AI to mitigate nancial fraud, ensure regulatory
compliance, and enhance trust in digital transactions.
Data Management
With the growing need for structured, real-time data insights,
Medical Devices (78%) will prioritize AI adoption for managing
sensitive healthcare data, supporting regulatory adherence, and
improving patient outcomes. Manufacturing (56%) will scale AI-
driven production automation and predictive analytics to enhance
efciency. Meanwhile, Electrical/Electronic Manufacturing (58%)
will focus on AI-powered data structuring for innovation, process
optimization, and compliance.
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Enlyft Market Insights: The State of AI Readiness in 2025 Intro AI FocusAI ReadinessAI Adoption AI Opportunities
Challenges and Opportunities
Infrastructure Scalability
Industries with low focus on AI infrastructure, such as Utilities and Retail, may face challenges
in scaling AI capabilities as their needs grow.
Balancing Priorities
While some industries prioritize data management or compliance, others may need to allocate
resources more evenly across focus areas to maximize AI benets.
Leveraging Data for Innovation
High data management adoption in sectors like Medical Devices and Machinery positions these
industries to lead in AI-driven innovation and operational efciency.
Enterprise Focus Areas
Large enterprises leverage AI to solve complex challenges across
industries. Their investment in AI infrastructure, data management,
and compliance reects a strategic approach to optimizing operations,
adhering to regulations, and driving innovation at scale.
Building & Managing AI Infrastructure Data Management Security & Compliance
Electrical/Electronic Manufacturing
Transportation/Trucking/Railroad
Food & Beverages
Manufacturing
Hospital & Health Care
Machinery
Retail
Government Administration
Utilities
Education Management
Entertainment
Automotive
Medical Devices
Oil & Energy
Pharmaceuticals
Top Industries & Insights by AI Focus Area
Building & Managing AI Infrastructure
In 2025, Oil & Energy (25%) will continue investing in AI infrastructure
to process vast datasets and optimize energy production. Automotive
(14%) will focus on AI-driven advancements for autonomous vehicles
and smart manufacturing. Education Management (11%) will expand
AI use for scalable administrative and learning processes.
Security & Compliance
With strict regulatory requirements, Government Administration
(79%) will strengthen AI adoption for compliance, fraud prevention,
and secure citizen services. Entertainment (58%) will use AI to manage
intellectual property rights and licensing agreements, while Oil & Energy
(75%) will rely on AI to enhance security and ensure compliance with
environmental regulations.
Data Management
The Manufacturing sector (60%) will leverage AI for real-time
monitoring, supply chain optimization, and predictive analytics.
Biotechnology (61%) will focus on AI-powered research, drug
discovery, and precision medicine, while Machinery (55%) will
use AI to enhance predictive maintenance and resource efciency.
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Enlyft Market Insights: The State of AI Readiness in 2025 Intro AI FocusAI ReadinessAI Adoption AI Opportunities
4
Opportunities for
Technology Sellers: Aligning
with Customer AI Priorities
As AI adoption accelerates, technology sellers
have a unique opportunity to align their offerings
with the evolving priorities of their customers. By
understanding the specic challenges and goals
across industries and organizational sizes, sellers
can rene their account targeting strategies and
GTM campaigns to better match the needs of
prospective buyers.
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Enlyft Market Insights: The State of AI Readiness in 2025 Intro AI FocusAI ReadinessAI Adoption AI Opportunities
Opportunities for
AI Technology Sellers
Leverage Industry-
Specic Insights
AI adoption and priorities vary signicantly by industry, as highlighted in
this report. Technology sellers should focus on tailoring their messaging
and solutions to address these unique needs:
Healthcare and Biotechnology
Emphasize AI’s ability to enhance data management for patient care, drug
discovery, and compliance with regulatory standards.
Manufacturing and Industrial Automation
Position AI tools for predictive maintenance, supply chain optimization,
and process automation.
Financial Services
Showcase AI capabilities in fraud detection, risk management, and
customer analytics.
Take Action
Tailor your solutions to specic industry use cases,
by demonstrating a deep understanding of customer
challenges you’ll position yourself as a trusted partner.
Target Organizations with
Emerging AI Priorities
Mid-market companies (500–5,000 employees) and SMBs are
demonstrating signicant growth in AI adoption, particularly in areas like
data management and operational efciency. Technology sellers should:
Focus on scalability
Offer solutions that grow alongside their customers’ needs.
Highlight cost-efciency
Present cloud-based, modular AI tools that are accessible for smaller
organizations.
Take Action
Target mid-market and SMB segments as they represent untapped
growth potential for technology sellers, particularly those offering
solutions that balance cost and scalability.
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Enlyft Market Insights: The State of AI Readiness in 2025 Intro AI FocusAI ReadinessAI Adoption AI Opportunities
Opportunities for
AI Technology Sellers
Address Security and
Compliance Needs
Security and compliance remain critical concerns across all company
sizes, particularly in regulated industries like healthcare, government,
and nance. AI technology sellers should:
Provide tools
with built-in security protocols and compliance monitoring.
Emphasize AI’s role
in mitigating risks and maintaining trust in sensitive operations.
Take Action
Position your offerings as solutions to regulatory challenges
to build credibility and foster long-term relationships with
customers in high-compliance sectors.
Enhance ICPs with AI Focus Area
Insights
The three primary AI focus areas—Building & Managing AI Infrastructure,
Data Management, and Security & Compliance—offer a roadmap for
rening ICPs:
Building & Managing AI Infrastructure
Focus on tech-driven industries like IT services and software, where
demand for scalable AI infrastructure is high.
Data Management
Prioritize data-heavy sectors like biotechnology, manufacturing, and
retail, where efcient data handling is critical to success.
Take Action
Use these focus areas to rene your Ideal Customer Prole (ICP)
so that sellers are equipped with the right data to identify
high-potential prospects and align their messaging with
customer pain points.
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Enlyft Market Insights: The State of AI Readiness in 2025 Intro AI FocusAI ReadinessAI Adoption AI Opportunities
As AI adoption accelerates across industries,
businesses must navigate a complex and
evolving landscape to identify the right
opportunities and prioritize their go-to-
market strategies effectively. Enlyft’s Sales
Intelligence platform is designed to empower
organizations with the data-driven insights they
need to target the right accounts, rene their
Ideal Customer Proles (ICPs), and accelerate
revenue growth in the evolving AI landscape.
At the core of Enlyft’s capabilities is its ability
to build custom propensity models, enabling
companies to predict AI adoption for specic
use cases that align with their solutions.
Whether an Independent Software Vendor
(ISV) is looking to identify companies investing
in AI-driven automation, predictive analytics,
or security enhancements, Enlyft can develop
tailored models to pinpoint organizations that
are actively integrating AI into their operations.
By leveraging real-time rmographics, high
delity technology usage patterns, and intent
signals, Enlyft provides a precise and dynamic
approach to targeting high-potential buyers.
For technology resellers, ISVs, and AI solution
providers, Enlyft’s data-driven approach
ensures that sales and marketing teams are
focusing their efforts where they matter most—
on businesses that are not only talking about
AI but actively investing in its implementation.
With AI readiness set to redene competitive
advantages in 2025 and beyond, companies
that harness intelligent prospecting and
predictive analytics will be best positioned to
capitalize on emerging opportunities and drive
sustained business growth.
Reach out at Enlyft.com to learn more.
Leveraging Enlyft’s Sales Intelligence for AI-Driven Growth
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