Will AI Solve the Growing Data Divide?

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit.

"The path to success is clear: businesses must break down data silos and automate workflows to thrive in the age of AI," said Jitterbit President and CEO Bill Conner. "While many organizations still struggle to find the resources across IT, IS, and line-of-business teams to bridge this 'data divide,' the opportunity for those who can is immense. We're on the cusp of a new era of efficiency and innovation, driven by true end-to-end AI automation."

Key findings include:

A Growing Data Divide

67% of enterprises today deploy over 500 applications, creating significant data silos.

70% of resource demand for enterprise automation falls to IT teams.

99% of IT leaders acknowledge the need for seamless integration and automation, yet 71% still lack a unified platform to achieve it. 

Increasing Importance of Self-Sufficiency for Line-of-Business Leaders

97% of IT leaders recognize the importance of empowering non-technical users to build, deploy, and maintain applications and integrations, ensuring faster time to value.

Agentic AI on the Horizon

99% of enterprises have integrated AI into their operations; early-adopter organizations increasingly see agentic AI as the next frontier.

31% of enterprises are already planning for agentic AI, signaling the next wave of autonomous decision-making enterprise AI solutions, which require end-to-end AI.

IT's Biggest Challenges

Cybersecurity, data privacy, scaling, resources and compliance remain the top concerns for IT leaders navigating the AI-powered automation landscape.

50% of IT leaders cite vulnerabilities in AI-powered, third-party integrations as their top data security concern. This underscores the urgent need for robust AI security protocols, platform security controls and accountability processes.

"Legacy automation, designed to execute isolated tasks, is no longer sufficient enough to keep up with modern business demands," said Jitterbit CTO Manoj Chaudhary. "Agentic AI is driving a fundamental shift — moving from task-based automation to intelligent automation with adaptive workflows that drive real business outcomes. By leveraging AI-driven decision-making, enterprises can break free from data silos and IT bottlenecks, enabling seamless end-to-end automation."

Methodology: The survey, conducted by Censuswide Research, gathered insights from 1,000 IT decision-makers in the US and UK.

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Will AI Solve the Growing Data Divide?

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit.

"The path to success is clear: businesses must break down data silos and automate workflows to thrive in the age of AI," said Jitterbit President and CEO Bill Conner. "While many organizations still struggle to find the resources across IT, IS, and line-of-business teams to bridge this 'data divide,' the opportunity for those who can is immense. We're on the cusp of a new era of efficiency and innovation, driven by true end-to-end AI automation."

Key findings include:

A Growing Data Divide

67% of enterprises today deploy over 500 applications, creating significant data silos.

70% of resource demand for enterprise automation falls to IT teams.

99% of IT leaders acknowledge the need for seamless integration and automation, yet 71% still lack a unified platform to achieve it. 

Increasing Importance of Self-Sufficiency for Line-of-Business Leaders

97% of IT leaders recognize the importance of empowering non-technical users to build, deploy, and maintain applications and integrations, ensuring faster time to value.

Agentic AI on the Horizon

99% of enterprises have integrated AI into their operations; early-adopter organizations increasingly see agentic AI as the next frontier.

31% of enterprises are already planning for agentic AI, signaling the next wave of autonomous decision-making enterprise AI solutions, which require end-to-end AI.

IT's Biggest Challenges

Cybersecurity, data privacy, scaling, resources and compliance remain the top concerns for IT leaders navigating the AI-powered automation landscape.

50% of IT leaders cite vulnerabilities in AI-powered, third-party integrations as their top data security concern. This underscores the urgent need for robust AI security protocols, platform security controls and accountability processes.

"Legacy automation, designed to execute isolated tasks, is no longer sufficient enough to keep up with modern business demands," said Jitterbit CTO Manoj Chaudhary. "Agentic AI is driving a fundamental shift — moving from task-based automation to intelligent automation with adaptive workflows that drive real business outcomes. By leveraging AI-driven decision-making, enterprises can break free from data silos and IT bottlenecks, enabling seamless end-to-end automation."

Methodology: The survey, conducted by Censuswide Research, gathered insights from 1,000 IT decision-makers in the US and UK.

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