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市場調查報告書
商品編碼
2132803
工業人工智慧投資與活動市場概況：2026年第三季度Industrial AI Investments & Activities Market Data Overview: 3Q 2026 |
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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趨勢，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。
- 我們將自身業務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，並以競爭對手為基準評估自身地位。
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？
- 與往年相比，2025 年製造業軟體、工業自動化和其他生態系服務的構成比將發生怎樣的變化？
- 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：
- 從 2023 年到 2025 年的完整交易歷史，涵蓋整個工業人工智慧領域的合作關係、收購、投資和舉措。
- 每個事件都帶有四個 AI 類別之一（感知、生成、基於代理和物理）的標籤，從而可以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。
- 我們按年份和人工智慧類別對交易類型進行了分類，揭示了合作夥伴關係、整合和內部開發等策略如何隨著時間的推移而變化。
- 本報告對主要市場參與企業進行了公司層面的活動排名，重點介紹了最具進取心的收購公司、合作夥伴關係和投資者。
- 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角度了解市場動能。
- 這適用於製造業、能源業、流程工業等產業的終端用戶公司，他們希望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
本報告應與《工業人工智慧投資與活動（MD-INDAIT-101）》一併閱讀。
主要發現
最新資訊
重要預測
- 按活動類型分類的市場趨勢
- 人工智慧活動的行業特定分佈
- 技術領域的人工智慧活動
- 公司在人工智慧活動領域的領導力
調查方法
簡介目錄
Product Code: PT-3923
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
This is meant to be read in conjunction with Industrial AI Investments Activities MD-INDAIT-101
Key Findings
Whats New
Significant Forecasts
- Market Activity Trends by Activity Type
- Industry Distribution of AI Activities
- AI Activities by Technology Sector
- AI Activity Leadership by Company
