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市場調查報告書
商品編碼
2132793
工業人工智慧領域的投資與舉措Industrial AI Investments & Activities |
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價格
簡介目錄
具體益處：
- 透過追蹤生成式人工智慧 (Gen AI)、實體人工智慧和基於代理的人工智慧的年度變化 (YoY)，我們確定了新興人工智慧 (AI) 投資的有前景的領域，並優先考慮研發和合作策略。
- 透過了解每種人工智慧類別中哪些類型的交易（合作、收購、投資、舉措）正在獲得或失去動力，我們可以最佳化有關交易結構的決策。
- 透過將我們的活動與特定產業領域和人工智慧技術領域的市場領導（如英偉達、西門子和微軟）進行比較，我們可以衡量我們相對於競爭對手的地位。
重要問題的答案：
- 2023年至2025年間，工業人工智慧交易數量發生了哪些變化？此外，這些轉捩點對市場成熟度有何啟示？
- 在每個財政年度，哪一類人工智慧（感知型、生成型、代理型或實體型）推動了大部分的夥伴關係、收購和投資？
- 人工智慧投資在各行業的分佈如何？哪些產業，例如工業機械、電子產品和汽車產業，佔了最大的投資佔有率？
- 到 2025 年，製造業軟體、工業自動化和其他生態系統服務的構成比將與往年有何不同？
- 哪些公司在工業人工智慧生態系中最為活躍？這些公司更傾向於哪種交易結構？
調查要點：
- 2023 年至 2025 年的完整交易歷史。涵蓋整個工業人工智慧領域的合作、收購、投資和措施。
- 每個事件都被標記為四個 AI 類別之一（感知、生成、基於代理和物理），以便對技術部署模式進行詳細分析。
- 本報告按行業細分了 10 個行業，包括工業機械、電子、汽車、化學、食品飲料和製藥，以及每個行業的年度人工智慧活動數量。
- 交易類型按年份和人工智慧類別進行分類，而合作夥伴關係、整合和內部開發等策略會隨著時間的推移而改變。
- 主要市場參與企業公司層級活動排名（重點關注最具進取心的收購、合作和投資）
- 對技術堆疊進行結構分析，區分製造軟體、工業自動化硬體和其他生態系統服務。
本報告的主要目標受眾
- 這適用於工業自動化公司、技術供應商和工程服務供應商中負責企業策略和業務發展的人員，他們需要追蹤競爭對手的活動並確定收購和合作目標。
- 產品經理和研發規劃人員正在努力調整藍圖，以適應快速發展的人工智慧領域，例如基因人工智慧和實體人工智慧。
- 這是為評估工業人工智慧領域的投資專業人士準備的，他們需要從量化和事件的觀點來分析市場動能。
- 這是為製造業、能源業和流程工業的終端用戶公司準備的，旨在幫助他們了解哪些人工智慧技術和合作夥伴正在現實世界中廣泛應用。
- 市場分析師和顧問需要一個全面且最新的工業人工智慧交易資料庫來支援他們的預測和策略建議。
目錄
圖表
- 工業人工智慧投資和計劃追蹤器
簡介目錄
Product Code: MD-INDAIT-101
Actionable Benefits:
- Identify emerging Artificial Intelligence (AI) investment hotspots by tracking Year-over-Year (YoY) shifts across Generative AI (Gen AI), Physical AI, and Agentic AI to prioritize Research and Development (R&D) or partnership strategies.
- Optimize deal structure decisions by understanding which transaction types (partnerships, acquisitions, investments, initiatives) are gaining or losing momentum in each AI category.
- Benchmark competitive positioning by comparing your organization’s activity against market leaders such as NVIDIA, Siemens, and Microsoft across specific industrial verticals and AI technology segments.
Critical Questions Answered:
- How has the volume of industrial AI deals evolved from 2023 to 2025, and what do the inflection points reveal about market maturity?
- Which AI categories (Perception, Generative, Agentic, Physical) are driving the majority of partnerships, acquisitions, and investments during each year?
- What is the vertical distribution of AI investment? Which industries, such as industrial machinery, electronics, and automotive, capture the largest share of activity?
- How does the mix of manufacturing software, industrial automation, and other ecosystem services differ in 2025 compared to earlier years?
- Which companies are the most active players in the industrial AI ecosystem, and what deal structures do they favor?
Research Highlights:
- Complete transaction history from 2023 through 2025, covering partnerships, acquisitions, investments, and initiatives across the entire industrial AI landscape.
- Tagging of four AI categories (Perception, Generative, Agentic, Physical) for each event, enabling granular analysis of technology adoption patterns.
- Industry vertical breakdown across 10 sectors, including industrial machinery, electronics, automotive, chemicals, food & beverage, and pharma, with annual counts of AI activity in each.
- Deal type decomposition by year and by AI category, showing how collaboration, consolidation, and internal development strategies have shifted over time.
- Company-level activity ranking for the top market participants, highlighting the most aggressive acquirers, partners, and investors.
- Structural analysis of the technology stack distinguishing between manufacturing software, industrial automation hardware, and other ecosystem services.
Who Should Read This?
- Corporate strategy and business development leaders at industrial automation firms, technology vendors, and engineering service providers who need to track competitive moves and identify acquisition or partnership targets.
- Product managers and R&D planners seeking to align roadmaps with fast-growing AI categories such as Gen AI and Physical AI.
- Investment professionals evaluating the industrial AI space who require a quantitative, event-based view of market momentum.
- End-user organizations in manufacturing, energy, and process industries that want to understand which AI technologies and partners are gaining real-world traction.
- Market analysts and consultants needing a comprehensive, up-to-date database of industrial AI transactions to support forecasting and strategic recommendations.
TABLE OF CONTENTS
Tables
- Table 1 Industrial AI Investments Activities Tracker
