| 出版社 | ABI Research |
| 出版年月 | 2025年9月 |
Agentic AI Total Cost of Ownership (TCO) and Return on Investment (ROI) Assessment
エージェントAIのTOCとROI評価のマーケットデータ 2025年第3四半期
Market Data | 3Q 2025 | MD-AGAI-101
Market Data | 3Q 2025 | MD-AGAI-101
- 3つの導入シナリオにおけるエージェントAIのROIとTCO分析。
- エージェントAIのTCOを8つの異なるコスト要因別にセグメント化。
- 人員削減とプロセス効率化によるエージェントAIの価値創造。
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Agentic AI Total Cost of Ownership (TCO) and Return on Investment (ROI) Assessment
Actionable Benefits
- Understand the Total Cost of Ownership (TCO) and the Return on Investment (ROI) timelines for Agentic Artificial Intelligence (AI) implementation.
- Build marketing and messaging strategy for Agentic AI implementation linking TCO and value creation.
- Identify major TCO drivers for Agentic AI implementation.
- Benchmark in-house Agentic AI solution TCO/ROI.
Research Highlights
- Agentic AI ROI and TCO analysis across three deployment scenarios.
- Agentic AI TCO segmented by eight different cost drivers.
- Agentic AI value creation through headcount reduction and process efficiency.
Critical Questions Answered
- What does an Agentic AI system stack look like?
- What are the major cost drivers for different Agentic AI deployments?
- How does the Agentic AI ROI timeline depend on use cases?
- How will the Agentic AI implementation timeline affect ROI expectations?
- What are the main drivers of value creation within each Agentic AI implementation?
Who Should Read This?
- Enterprise leaders assessing Agentic AI implementation scenarios and exploring commercial opportunities.
- AI product managers and marketing leaders aiming to enhance their understanding of Agentic AI ROI & TCO.
- Strategists aiming to align Agentic AI monetization strategies with ROI timelines, use case value creation, and other factors.