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市場調查報告書
商品編碼
1935491

2026-2034年全球製造業人工智慧（AI）市場規模、佔有率、趨勢和成長分析報告

Global Artificial Intelligence In Manufacturing Market Size, Share, Trends & Growth Analysis Report 2026-2034
出版日期: | 出版商: Value Market Research | 英文 162 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

預計製造業人工智慧（AI）市場將從 2025 年的 79.1 億美元成長到 2034 年的 2,364.1 億美元，2026 年至 2034 年的複合年成長率為 45.87%。

人工智慧 (AI) 在製造業的整合有望徹底改變營運效率和產品品質。隨著智慧技術在工業領域的應用日益廣泛，AI 驅動的解決方案正在增強預測性維護、最佳化供應鏈並促進即時數據分析。這種變革不僅降低了營運成本，還加快了生產週期，使製造商能夠更快地回應市場需求。展望未來，更複雜的 AI 演算法、更高的自動化程度以及更強的大量資料集分析能力有望推動更明智的決策流程。

此外，工業4.0的到來正在加速人工智慧（AI）與物聯網（IoT）的融合，建構互聯互通的系統，從而提升生產力並推動創新。配備人工智慧功能的智慧工廠能夠監控設備狀態、預測故障並實現日常任務的自動化，顯著減少停機時間。人工智慧與物聯網的協同作用，打造了一個更敏捷的製造環境，能夠以前所未有的速度和精度適應不斷變化的消費者偏好和市場狀況。因此，能夠有效利用這些技術的企業將獲得競爭優勢，並在快速發展的市場中佔據領先地位。

展望未來，由於對永續實踐和提升營運韌性的需求，製造業對人工智慧的需求預計將大幅成長。隨著製造商努力滿足環境法規和消費者對永續性的期望，人工智慧將在最佳化資源利用和減少廢棄物發揮關鍵作用。模擬生產流程並評估其環境影響的能力將使企業能夠做出更永續的選擇。因此，人工智慧在製造業的未來遠不止於提高效率；它將促進創新和永續性，確保各行業在日益複雜的全球環境中持續蓬勃發展。

目錄

第1章 引言

第2章執行摘要

第3章 市場變數、趨勢與框架

  • 市場譜系展望
  • 繪製滲透率和成長前景圖
  • 價值鏈分析
  • 法律規範
    • 標準與合規性
    • 監管影響分析
  • 市場動態
    • 市場促進因素
    • 市場限制
    • 市場機遇
    • 市場問題
  • 波特五力分析
  • PESTLE分析

4. 全球製造業人工智慧（AI）市場按產品/服務分類

  • 市場分析、洞察與預測
  • 硬體
  • 軟體
  • 服務

5. 全球製造業人工智慧 (AI) 市場（按技術分類）

  • 市場分析、洞察與預測
  • 機器學習
  • 自然語言處理
  • 感知計算
  • 電腦視覺

6. 全球人工智慧（AI）市場在製造業的應用

  • 市場分析、洞察與預測
  • 預測性維護和機器檢查
  • 庫存最佳化
  • 生產計畫
  • 現場服務
  • 品管
  • 網路安全
  • 工業機器人
  • 回收利用

7. 全球製造業人工智慧 (AI) 市場（按垂直產業分類）

  • 市場分析、洞察與預測
  • 車
  • 能源與電力
  • 金屬和重型機械
  • 半導體和電子裝置
  • 食品/飲料
  • 製藥
  • 礦業
  • 其他

8. 全球製造業人工智慧 (AI) 市場（按地區分類）

  • 區域分析
  • 北美市場分析、洞察與預測
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲市場分析、洞察與預測
    • 英國
    • 法國
    • 德國
    • 義大利
    • 俄羅斯
    • 其他歐洲國家
  • 亞太市場分析、洞察與預測
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 東南亞
    • 其他亞太國家
  • 拉丁美洲市場分析、洞察與預測
    • 巴西
    • 阿根廷
    • 秘魯
    • 智利
    • 其他拉丁美洲國家
  • 中東和非洲市場分析、洞察與預測
    • 沙烏地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中東和非洲國家

第9章 競爭情勢

  • 最新趨勢
  • 公司分類
  • 供應鏈和銷售管道合作夥伴（根據現有資訊）
  • 市場佔有率和市場定位分析（基於現有資訊）
  • 供應商格局（基於現有資訊）
  • 策略規劃

第10章：公司簡介

  • 主要公司的市佔率分析
  • 公司簡介
    • AIBrain Inc
    • Amazon Web Services
    • Aquant Inc
    • Cisco Systems Inc
    • General Electric Company
    • General Vision Inc
    • Google LLC（Alphabet Inc.）
    • IBM Corporation
    • Intel Corporation
    • Micron Technology Inc
    • Microsoft Corporation
    • Mitsubishi Electric Corporation
    • NVIDIA Corporation
    • Oracle Corporation
    • Rockwell Automation Inc
簡介目錄
Product Code: VMR11210732

The Artificial Intelligence In Manufacturing Market size is expected to reach USD 236.41 Billion in 2034 from USD 7.91 Billion (2025) growing at a CAGR of 45.87% during 2026-2034.

The integration of artificial intelligence (AI) within the manufacturing sector is poised to revolutionize operational efficiencies and product quality. As industries increasingly adopt smart technologies, AI-driven solutions are enhancing predictive maintenance, optimizing supply chains, and facilitating real-time data analytics. This shift not only reduces operational costs but also accelerates production timelines, enabling manufacturers to respond swiftly to market demands. The future landscape will likely see AI algorithms becoming more sophisticated, allowing for greater automation and the ability to analyze vast datasets, thus driving informed decision-making processes.

Moreover, the advent of Industry 4.0 is catalyzing the convergence of AI with the Internet of Things (IoT), creating interconnected systems that enhance productivity and innovation. Smart factories equipped with AI capabilities can monitor equipment health, predict failures, and automate routine tasks, leading to a significant reduction in downtime. This synergy between AI and IoT will foster a more agile manufacturing environment, where companies can adapt to changes in consumer preferences and market conditions with unprecedented speed and accuracy. As a result, organizations that leverage these technologies will gain a competitive edge, positioning themselves as leaders in a rapidly evolving marketplace.

Looking ahead, the demand for AI in manufacturing is expected to surge, driven by the need for sustainable practices and enhanced operational resilience. As manufacturers strive to meet environmental regulations and consumer expectations for sustainability, AI will play a crucial role in optimizing resource utilization and minimizing waste. The ability to simulate production processes and assess their environmental impact will empower companies to make more sustainable choices. Consequently, the future of AI in manufacturing is not merely about efficiency; it is about fostering innovation and sustainability, ensuring that the industry can thrive in an increasingly complex global landscape.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Offering

  • Hardware
  • Software
  • Services

By Technology

  • Machine Learning
  • Natural Language Processing
  • Aware Computing
  • Computer Vision

By Application

  • Predictive Maintenance and Machinery Inspection
  • Inventory Optimization
  • Production Planning
  • Field Services
  • Quality Control
  • Cybersecurity
  • Industrial Robots
  • Reclamation
  • BY Industry
  • Automotive
  • Energy and Power
  • Metals and Heavy Machinery
  • Semiconductor & Electronics
  • Food & Beverage
  • Pharma
  • Mining
  • Others

COMPANIES PROFILED

  • AIBrain Inc, Amazon Web Services, Aquant Inc, Cisco Systems Inc, General Electric Company, General Vision Inc, Google LLC Alphabet Inc, IBM Corporation, Intel Corporation, Micron Technology Inc, Microsoft Corporation, Mitsubishi Electric Corporation, NVIDIA Corporation, Oracle Corporation, Rockwell Automation Inc

We can customise the report as per your requriements

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 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: BY OFFERING 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Offering
  • 4.2. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.4. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Technology
  • 5.2. Machine Learning Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Natural Language Processing Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Aware Computing Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.5. Computer Vision Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: BY APPLICATION 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast Application
  • 6.2. Predictive Maintenance and Machinery Inspection Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. Inventory Optimization Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.4. Production Planning Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.5. Field Services Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.6. Quality Control Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.7. Cybersecurity Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.8. Industrial Robots Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.9. Reclamation Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: BY INDUSTRY 2022-2034 (USD MN)

  • 7.1. Market Analysis, Insights and Forecast Industry
  • 7.2. Automotive Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.3. Energy and Power Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.4. Metals and Heavy Machinery Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.5. Semiconductor & Electronics Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.6. Food & Beverage Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.7. Pharma Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.8. Mining Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.9. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL ARTIFICIAL INTELLIGENCE 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 Offering
    • 8.2.2 By Technology
    • 8.2.3 By Application
    • 8.2.4 By Industry
    • 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 Offering
    • 8.3.2 By Technology
    • 8.3.3 By Application
    • 8.3.4 By Industry
    • 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 Offering
    • 8.4.2 By Technology
    • 8.4.3 By Application
    • 8.4.4 By Industry
    • 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 Offering
    • 8.5.2 By Technology
    • 8.5.3 By Application
    • 8.5.4 By Industry
    • 8.5.5 Brazil
    • 8.5.6 Argentina
    • 8.5.7 Peru
    • 8.5.8 Chile
    • 8.5.9 South East Asia
    • 8.5.10 Rest of Latin America
  • 8.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.6.1 By Offering
    • 8.6.2 By Technology
    • 8.6.3 By Application
    • 8.6.4 By Industry
    • 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 ARTIFICIAL INTELLIGENCE IN MANUFACTURING INDUSTRY

  • 10.1. Top Companies Market Share Analysis
  • 10.2. Company Profiles
    • 10.2.1 AIBrain Inc
    • 10.2.2 Amazon Web Services
    • 10.2.3 Aquant Inc
    • 10.2.4 Cisco Systems Inc
    • 10.2.5 General Electric Company
    • 10.2.6 General Vision Inc
    • 10.2.7 Google LLC (Alphabet Inc.)
    • 10.2.8 IBM Corporation
    • 10.2.9 Intel Corporation
    • 10.2.10 Micron Technology Inc
    • 10.2.11 Microsoft Corporation
    • 10.2.12 Mitsubishi Electric Corporation
    • 10.2.13 NVIDIA Corporation
    • 10.2.14 Oracle Corporation
    • 10.2.15 Rockwell Automation Inc