제조업용 에이전트형 AI 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

The global agentic AI in manufacturing market report size is expected to reach USD 47.64 Billion in 2034 from USD 5.50 Billion in 2025, growing at a CAGR of 27.11 during 2026-2034.This market is witnessing strong momentum as factories shift toward autonomous and data-driven production systems. Agentic AI solutions can independently monitor machinery, optimize workflows, and respond to changing production conditions in real time. Rising adoption of Industry 4.0 practices, robotics integration, and smart factory investments are accelerating market expansion across developed and emerging economies.

A key growth driver is the increasing need for predictive maintenance and operational efficiency. Manufacturers are using agentic AI to detect equipment failures before breakdowns occur, reducing downtime and repair costs. These systems also improve supply planning, quality inspection, and workforce coordination. Growing labor shortages in industrial sectors are further encouraging automation through intelligent AI agents.

Future prospects remain highly promising as manufacturing companies seek resilient and flexible operations. Agentic AI is expected to play a major role in self-optimizing production lines, energy management, and customized manufacturing processes. As AI models become more accurate and affordable, small and medium enterprises are also likely to adopt these solutions, widening market opportunities globally.

Our reports are carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

MARKET SEGMENTATION

By Application

• Predictive-Maintenance Agents
• Quality-Control Inspection Agents
• Supply-Chain Optimisation Agents
• Production Scheduling Agents
• Energy Optimisation Agents

By Deployment Mode

• Cloud
• Edge
• On-Premise
• Hybrid

By Manufacturing Vertical

• Automotive
• Electronics and Semiconductors
• Food and Beverage
• Chemicals and Materials
• Heavy Machinery and Industrial Equipment

By Component

• Software Platforms
• Services
• Edge Hardware and Devices

COMPANIES PROFILED

• NVIDIA, Siemens AG, Bosch, Microsoft, IBM, Amazon Web Services, Google LLC, Schneider Electric, Honeywell, ABB, Rockwell Automation, Mitsubishi Electric, PTC, FANUC, Cognex

TABLE OF CONTENTS

Chapter 1. PREFACE

• 1.1. Market Segmentation & Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1 Information Analysis
  • 1.3.2 Market Formulation & Data Visualization
  • 1.3.3 Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

• 2.1. Market Snapshot
• 2.2. Segmental Outlook
• 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

• 3.1. Market Lineage Outlook
• 3.2. Penetration & Growth Prospect Mapping
• 3.3. Value Chain Analysis
• 3.4. Regulatory Framework
  • 3.4.1 Standards & Compliance
  • 3.4.2 Regulatory Impact Analysis
• 3.5. Market Dynamics
  • 3.5.1 Market Drivers
  • 3.5.2 Market Restraints
  • 3.5.3 Market Opportunities
  • 3.5.4 Market Challenges
• 3.6. Porter's Five Forces Analysis
• 3.7. PESTLE Analysis

Chapter 4. GLOBAL AGENTIC AI IN MANUFACTURING MARKET: BY APPLICATION 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Application
• 4.2. Predictive-Maintenance Agents Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Quality-Control Inspection Agents Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.4. Supply-Chain Optimisation Agents Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.5. Production Scheduling Agents Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.6. Energy Optimisation Agents Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL AGENTIC AI IN MANUFACTURING MARKET: BY DEPLOYMENT MODE 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Deployment Mode
• 5.2. Cloud Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Edge Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. On-Premise Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.5. Hybrid Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL AGENTIC AI IN MANUFACTURING MARKET: BY MANUFACTURING VERTICAL 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Manufacturing Vertical
• 6.2. Automotive Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Electronics and Semiconductors Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Food and Beverage Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.5. Chemicals and Materials Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.6. Heavy Machinery and Industrial Equipment Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL AGENTIC AI IN MANUFACTURING MARKET: BY COMPONENT 2022-2034 (USD MN)

• 7.1. Market Analysis, Insights and Forecast Component
• 7.2. Software Platforms Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.3. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.4. Edge Hardware and Devices Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL AGENTIC AI IN MANUFACTURING MARKET: BY REGION 2022-2034 (USD MN)

• 8.1. Regional Outlook
• 8.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.2.1 By Application
  • 8.2.2 By Deployment Mode
  • 8.2.3 By Manufacturing Vertical
  • 8.2.4 By Component
  • 8.2.5 United States
  • 8.2.6 Canada
  • 8.2.7 Mexico
• 8.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.3.1 By Application
  • 8.3.2 By Deployment Mode
  • 8.3.3 By Manufacturing Vertical
  • 8.3.4 By Component
  • 8.3.5 United Kingdom
  • 8.3.6 France
  • 8.3.7 Germany
  • 8.3.8 Italy
  • 8.3.9 Russia
  • 8.3.10 Rest Of Europe
• 8.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.4.1 By Application
  • 8.4.2 By Deployment Mode
  • 8.4.3 By Manufacturing Vertical
  • 8.4.4 By Component
  • 8.4.5 India
  • 8.4.6 Japan
  • 8.4.7 South Korea
  • 8.4.8 Australia
  • 8.4.9 South East Asia
  • 8.4.10 Rest Of Asia Pacific
• 8.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.5.1 By Application
  • 8.5.2 By Deployment Mode
  • 8.5.3 By Manufacturing Vertical
  • 8.5.4 By Component
  • 8.5.5 Brazil
  • 8.5.6 Argentina
  • 8.5.7 Peru
  • 8.5.8 Chile
  • 8.5.9 Rest of Latin America
• 8.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.6.1 By Application
  • 8.6.2 By Deployment Mode
  • 8.6.3 By Manufacturing Vertical
  • 8.6.4 By Component
  • 8.6.5 Saudi Arabia
  • 8.6.6 UAE
  • 8.6.7 Israel
  • 8.6.8 South Africa
  • 8.6.9 Rest of the Middle East And Africa

Chapter 9. COMPETITIVE LANDSCAPE

• 9.1. Recent Developments
• 9.2. Company Categorization
• 9.3. Supply Chain & Channel Partners (based on availability)
• 9.4. Market Share & Positioning Analysis (based on availability)
• 9.5. Vendor Landscape (based on availability)
• 9.6. Strategy Mapping

Chapter 10. COMPANY PROFILES OF GLOBAL AGENTIC AI IN MANUFACTURING INDUSTRY

• 10.1. Top Companies Market Share Analysis
• 10.2. Company Profiles
  • 10.2.1 NVIDIA
  • 10.2.2 Siemens AG
  • 10.2.3 Bosch
  • 10.2.4 Microsoft
  • 10.2.5 IBM
  • 10.2.6 Amazon Web Services
  • 10.2.7 Google LLC
  • 10.2.8 Schneider Electric
  • 10.2.9 Honeywell
  • 10.2.10 ABB
  • 10.2.11 Rockwell Automation
  • 10.2.12 Mitsubishi Electric
  • 10.2.13 PTC
  • 10.2.14 FANUC
  • 10.2.15 Cognex