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Free Research

Industrial AI Investments & Activities Market Data Overview: 3Q 2026

Price: Starting at USD 1,950
Publish Date: 06 Aug 2026
Code: PT-3923
Research Type: Presentation
Pages: 13
Actionable Benefits

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.
Research Highlights

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.
Critical Questions Answered

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?
Who Should Read This?

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

What’s New

Significant Forecasts

Market Activity Trends by Activity Type
Industry Distribution of AI Activities
AI Activities by Technology Sector
AI Activity Leadership by Company

Methodology