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Companies are seeing larger adoption of agentic AI, enhancing their capability to ship larger worth on the velocity of want by leveraging digital labor throughout all traces of enterprise.
In line with the 2025 Connectivity Benchmark Report by MuleSoft and Deloitte Digital, 93% of IT leaders report intentions to introduce autonomous AI brokers inside the subsequent two years, and almost half have already achieved so.
MuleSoft’s tenth annual Connectivity Benchmark Report is predicated on survey knowledge from interviews with 1,050 IT leaders throughout the globe. Right here is the chief abstract:
Knowledge is trapped throughout siloed enterprise apps: The common variety of apps utilized by respondents is 897, with 45% reporting utilizing 1,000 purposes or extra — additional hindering IT groups’ capability to construct a unified expertise. Solely 29% of enterprise apps are built-in and share info throughout the enterprise.
IT workload is growing: With IT leaders being pushed to include AI, 86% of respondents anticipate their groups’ workload will rise within the subsequent yr, all whereas nonetheless sustaining current methods, together with 70% who report governing enterprise-wide automations.
Built-in person expertise is elusive: Enterprise-wide automation is on the rise; even so, 66% of respondents nonetheless do not present an built-in person expertise throughout their channels.
Integration is a problem for accelerated adoption of AI brokers: Almost all (95%) of IT leaders report 95% integration as a hurdle to implementing AI successfully, however APIs have helped. Fifty-five p.c of IT leaders report APIs enhance their IT infrastructure, whereas 45% acknowledge the flexibility for APIs to assist enhancing person experiences.
Listed here are my prime 20 large takeaways that each CIO and IT chief should overview and self-assess from the report:
AI adoption surpass projections
Adoption of autonomous brokers is a key enterprise precedence: Introducing autonomous brokers inside the subsequent two years is on the roadmap for 93% of IT leaders; almost half have already achieved so.
Productiveness positive aspects drive agent adoption: The overwhelming majority (93%) really feel that AI will improve developer productiveness over the subsequent three years, which is up seven proportion factors since final yr’s report.
Extra AI fashions can be deployed to drive agent adoption: The common variety of AI fashions estimated for use doubled from 2024 (9 to 18), and IT leaders predict an additional improve of 78% within the subsequent three years to a mean of 32 fashions.
IT budgets are rising in 2025: As demand for AI grows, so does the funds: 85% of IT decision-makers count on a rise of their general funds in 2025, whereas 11% anticipate that their IT budgets will keep the identical.
Investments in knowledge infrastructure are 4X AI investments: To organize for the expanded use of AI, enterprise CIOs are allocating 25% of their budgets to knowledge infrastructure and administration (in comparison with 5% to AI).
IT workload will improve considerably in 2025: Together with an elevated funds, 86% of IT leaders anticipate workloads to rise as nicely. On common, they count on an 18% improve within the variety of initiatives their group might want to ship. To fulfill this rising demand, IT staffing budgets are additionally set to rise considerably, with an anticipated improve of 61.9% in comparison with final yr’s predicted quantity, with an estimated funds nearing $17M ($16.91M).
Undertaking supply capabilities will decline attributable to increased demand from IT: The proportion of initiatives not being delivered on time has risen to 29% from 26% final yr. Can AI assist? That is one space through which IT leaders are extremely optimistic about AI’s potential to spice up productiveness, with 93% anticipating it to boost developer productiveness over the subsequent three years, up from 85% in final yr’s survey.
The first impediment to AI implementation — integration and legacy debt: Integration stays essentially the most vital barrier to AI implementation, with 95% of organizations dealing with challenges when integrating AI into their current processes. Cybersecurity and knowledge privateness are paramount considerations for IT leaders throughout AI integration.
Disconnected knowledge strains IT sources
Disconnected knowledge stays an amazing blocker to legacy modernization for almost all of organizations: As we speak, 83% of organizations report that integration challenges are a major barrier to their legacy modernization efforts. And 97% of IT leaders acknowledge that their organizations wrestle with integrating end-user experiences.
Consumer expertise throughout all channels isn’t managed: Round two-thirds (66%) of respondents do not present an built-in person expertise throughout all of their channels.Integration challenges forestall optimum person experiences — Integration challenges are hindering digital transformation at their group for 83% of respondents.
Connections are key to improved experiences: Round half (49%) report improved return on funding when making a related end-user expertise.
The highest challenges to offering a seamless buyer expertise are: 1. adopting AI instruments (44%), 2. reusing software program parts to create new services and products (42%), 3. leveraging APIs (37%), 4. implementing microservice structure (36%), and 5. adopting event-driven APIs (35%).
Rising demand for AI brokers gasoline the necessity for strong integration
The variety of apps within the enterprise is rising: Organizations are leveraging a staggering variety of purposes, with a mean of 897. Remarkably, 46% of those organizations report utilizing 1,000 purposes or extra. Concerningly, solely 2% of IT leaders report their organizations have built-in greater than half of their purposes.
Buyer experiences are largely digital: With an estimated 71% of all buyer engagements occurring in a digital format, the necessity for utility integration is vital to success.
Knowledge silos are innovation roadblocks: Solely 10% of respondents report experiencing no challenges attributable to knowledge silos, whereas 74% of organizations discover their IT methods to be overly interdependent.
Knowledge mobility is the largest integration problem: Shifting knowledge from supply methods to the info warehouse is the highest problem, adopted by correlating knowledge within the warehouse to ship insights and reusing knowledge sources throughout completely different user-facing purposes.
IT sees a rising want for integration throughout all departments: In line with IT leaders, not less than 80% or extra of information science, engineering, gross sales, and customer support departments are reporting a necessity for integration.
IT groups face new hurdle with widespread AI: A overwhelming majority (81%) of IT leaders report that their firms are grappling with challenges in leveraging AI for system integrations. The common utility lifetime inside organizations is 5 years, highlighting the necessity for strong and adaptable methods that may combine new applied sciences — with out compromising efficiency or safety.
AI wants knowledge to ship outcomes: With out integration, AI doesn’t have entry to the important knowledge for it to operate at its greatest. Eighty-one p.c of respondents recognized knowledge integration as one of the vital challenges their organizations face when implementing AI for methods integrations. Outdated infrastructure is a major impediment, with 41% of members reporting that their group’s outdated IT structure and infrastructure hinder using knowledge for AI purposes.
The 2025 Connectivity Benchmark Report additionally highlighted the significance of automation, with central IT groups governing 70% of automation. A well-rounded automation technique is taken into account important for successfully integrating AI into a company.
Automation can develop past IT supply groups — 65% of organizations have developed a whole or almost full technique to empower non-technical customers with low-code and no-code options. The demand for automation is abundantly clear, with 98% of IT leaders highlighting their want for automation inside their group.
To be taught extra concerning the 2025 Connectivity Benchmark Report, you possibly can go to right here.
