2025年互联互通基准报告_46页_5mb
报告摘要
2025 Connectivity Benchmark Report Summary
Core Content
This report, in collaboration with Deloitte, provides insights into the current state of AI adoption and integration in enterprises, highlighting the growing reliance on APIs and the challenges IT teams face in implementing AI effectively.
Main Points
AI Adoption and Growth
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AI Adoption Surpasses Projections:
- 93% of IT leaders plan to introduce autonomous agents within the next two years, with 40% already having them in place.
- AI is expected to significantly boost developer productivity, with 93% of IT leaders anticipating a 7 percentage point increase in productivity over the next three years.
- The average number of AI models used by organizations has doubled from 2024 to 18, and is predicted to increase by 78% to 32 in the next three years.
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Increased Workloads:
- 86% of IT leaders expect their workload to rise in the next year, with an average increase of 18% in the number of projects.
- 85% of IT decision-makers anticipate an increase in their overall budgets in 2025.
Integration Challenges
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Integration as a Major Hurdle:
- 95% of IT leaders report integration as a significant challenge in implementing AI effectively.
- Only 2% of IT leaders say more than half of their applications are integrated, despite the fact that 71% of customer engagements are digital.
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Data Silos and System Dependencies:
- 74% of organizations find their IT systems overly dependent on one another.
- 46% of organizations use 1,000 or more applications, yet only 2% have integrated more than half of them.
- Data silos are a major roadblock to innovation, with 90% of IT leaders identifying them as a challenge.
API Importance and Usage
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APIs as a Revenue Driver:
- APIs now account for an average of 40% of company revenue, up from 25% in 2018.
- 91% of IT leaders believe collaborating with third-party experts can enhance API ROI.
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API Management Strategies:
- 87% of IT leaders believe API management could be improved.
- 28% of organizations have a clear, upfront API strategy implemented across most of the company.
Automation and IT Leadership
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Automation as a Key Enabler:
- 98% of IT leaders see a need for automation within their organizations.
- Central IT teams govern 70% of automations, and 39% of developers' time is spent on custom integrations.
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IT Teams Lead Automation:
- 71% of organizations have their automations overseen by IT developers.
- 63% of respondents report IT operations involvement in automation efforts.
Strategic Recommendations
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Unified Integration Strategy:
- Organizations need a unified strategy to integrate all apps and systems, ensuring robust data access for AI.
- Modernizing IT infrastructure and improving cybersecurity are critical to enabling effective AI integration.
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Collaboration with Third-Party Experts:
- IT leaders recognize the value of APIs and suggest that external expertise is essential for improving API management and maximizing ROI.
Key Statistics
- 93% of IT leaders plan to implement autonomous agents within the next two years.
- 86% of IT leaders expect workload to increase in the next year.
- 66% of organizations do not provide an integrated user experience across all channels.
- 40% of organizations use 1,000 or more applications.
- 74% of IT systems are overly interdependent.
- 95% of IT leaders identify integration as a major challenge for AI implementation.
- 81% of IT leaders face challenges in leveraging AI for system integrations.
- 39% of developer time is spent on creating custom integrations.
- 40% of company revenue is now generated from APIs and related implementations.
Conclusion
The report underscores the necessity of a unified integration strategy to support the growing adoption of AI and automation. As organizations increasingly rely on APIs for revenue and operational efficiency, addressing integration challenges and cybersecurity concerns becomes imperative. IT leaders are actively seeking ways to enhance their strategies and leverage external expertise to meet these demands and drive innovation.
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