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1848452

全球製造業人工智慧市場：預測至 2032 年—按組件、功能、部署方式、技術、最終用戶和地區進行分析

AI in Manufacturing Market Forecasts to 2032 - Global Analysis By Component (Hardware Software and Services), Function, Deployment Mode, Technology, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計 2025 年全球製造業人工智慧市場規模將達到 55.9 億美元，到 2032 年將達到 416.1 億美元，預測期內複合年成長率將達到 33.2%。

製造業人工智慧 (AI) 指的是利用先進的演算法、機器學習和數據分析來最佳化生產流程、提高產品品質並提升營運效率。這使得預測性維護、即時監控和智慧自動化能夠貫穿整個製造價值鏈。透過分析大量生產數據，人工智慧可以幫助識別模式、預測設備故障並簡化決策流程。這項技術支持智慧製造，減少停機時間、降低成本並提高靈活性，從而推動向工業 4.0 和全互聯智慧工廠的轉型。

對自動化和工業4.0採用的需求

企業正在部署智慧型系統來最佳化生產線、減少停機時間並加強品管。預測性維護、數位雙胞胎和自主機器人正在重塑工廠的工作流程。人工智慧驅動的分析正在提高供應鏈的透明度和庫存管理效率。各行各業對智慧工廠和互聯基礎設施的投資都在增加。市場正朝著數據驅動的自適應製造生態系統發展。

高昂的初始投資和實施成本

人工智慧的應用需要對硬體、軟體和資料基礎設施進行大量資金投入的升級。客製化、整合和員工培訓都會增加營運成本。複雜的試點階段和擴充性挑戰會延長投資回報週期。中小企業往往缺乏資源來承擔領先成本或管理長期維護。這些財務障礙會減緩對成本敏感的環境中的平台部署。

政府支持和政策舉措

國家層級推出的智慧產業、數位轉型和產業競爭力提升計畫提供補貼和稅收優惠。官民合作關係正在加速各戰略領域的研發和試點部署。法律規範也在不斷完善，以支援人工智慧在安全關鍵型環境中的應用。勞動力技能提升和創新津貼正在加強生態系統建設。這項發展勢頭正推動人工智慧的應用範圍超越大型企業。

熟練勞動力短缺

製造商在資料科學、機器學習和工業自動化領域面臨專業人才短缺的問題。現有員工通常需要接受大量的再培訓才能管理人工智慧系統並解讀分析結果。這種人才短缺正在影響部署進度和系統可靠性。建構永續的人才儲備需要學術界、產業界和政府之間的合作。這些挑戰正在推動對教育、認證和勞動力發展項目的投資。

新冠疫情的影響：

疫情加速了人工智慧（AI）的普及應用，製造業亟需提升韌性並實現遠端營運。供應鏈中斷和勞動力短缺凸顯了預測分析和自主系統的重要性。企業投資人工智慧以因應需求波動、最佳化資源配置並確保業務連續性。遠端監控、虛擬試運行和數位孿生技術在疫情封鎖期間迅速普及。復甦舉措正在推動對智慧製造基礎設施的長期投資。這場危機已將人工智慧從一項實驗性技術永久提升為戰略必需品。

預計在預測期內，機器學習領域將成為最大的細分市場。

由於機器學習在最佳化生產、品質和維護方面的多功能性，預計在預測期內，機器學習領域將佔據最大的市場佔有率。製造商正在使用機器學習演算法來檢測異常情況、預測設備故障並微調程式參數。與物聯網感測器和雲端平台的整合正在提高數據收集和模型精度。供應商提供預訓練模型和低程式碼介面，以簡化部署。離散製造業製造業還是流程製造業，可擴展且適應性強的解決方案的需求都在不斷成長。

預計在預測期內，醫藥和化學工業將實現最高的複合年成長率。

在預測期內，醫藥和化學產業預計將實現最高成長率，因為人工智慧能夠提升受法規環境下的精準性、合規性和效率。企業正在採用人工智慧進行批次最佳化、預測性品管以及關鍵參數的即時監控。與實驗室自動化和數位化文件的整合正在提高可追溯性和審核準備度。藥物發現、製劑和危險物質物料輸送正在推動可擴展解決方案的需求。監管支援和創新資金正在加速人工智慧的普及應用。該行業正在透過智慧過程控制重新定義製造業。

佔比最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於其先進的工業基礎、強大的研發生態系統和清晰的監管環境。美國和加拿大正在汽車、航太、電子和製藥等產業大力推廣人工智慧的應用。對雲端基礎設施、邊緣運算和網路安全的投資正在推動平台走向成熟。主要人工智慧供應商、製造業巨頭和學術機構的參與增強了市場的實力。政府舉措和創新中心正在加速人工智慧的部署。

複合年成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於工業數位化、政策支援和製造業擴張的共同推動。中國、印度、日本和韓國等國家正在投資智慧工廠、人工智慧實驗室和勞動力發展。本土新興企業和全球供應商正在推出針對不同製造環境的區域性解決方案。政府支持的項目和出口導向戰略正在加速這些解決方案的普及應用。各行業對自動化和品質最佳化的需求都在不斷成長。該地區正在崛起為製造業人工智慧的戰略成長中心。

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訂閱本報告的用戶可從以下免費自訂選項中選擇一項：

  • 公司簡介
    • 對最多三家其他公司進行全面分析
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  • 區域分類
    • 根據客戶興趣對主要國家進行市場估算、預測和複合年成長率分析（註：基於可行性檢查）
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    • 基於產品系列、地域覆蓋和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 引言

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 分析方法
  • 分析材料
    • 原始研究資料
    • 二手研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 市場機遇
  • 威脅
  • 技術分析
  • 終端用戶分析
  • 新興市場
  • 感染疾病疫情的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代產品的威脅
  • 新參與企業的威脅
  • 公司間的競爭

5. 全球製造業人工智慧市場（按組件分類）

  • 硬體
    • 感應器
    • 邊緣設備
    • 工業機器人
  • 軟體
    • 人工智慧平台
    • 分析引擎
    • 視覺控制系統
  • 服務
    • 整合與諮詢
    • 託管服務
    • 培訓和支持

6. 全球製造業人工智慧市場按功能分類

  • 品管和檢驗
  • 預測性維護
  • 生產計畫和調度
  • 供應鏈最佳化
  • 流程自動化
  • 能源管理
  • 其他功能

第7章 全球製造業人工智慧市場依部署方式分類

  • 本地部署
  • 雲端基礎的

8. 全球製造業人工智慧市場（按技術分類）

  • 機器學習
  • 電腦視覺
  • 自然語言處理（NLP）
  • 預測分析
  • 強化學習
  • 其他技術

9. 全球製造業人工智慧市場（按最終用戶分類）

  • 車
  • 航太/國防
  • 電子和半導體
  • 醫藥和化學品
  • 飲食
  • 金屬和採礦
  • 其他最終用戶

第10章：全球製造業人工智慧市場區域分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併（M&A）
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章：公司簡介

  • Siemens AG
  • General Electric Company（GE）
  • ABB Ltd.
  • Rockwell Automation, Inc.
  • Schneider Electric SE
  • Honeywell International Inc.
  • IBM Corporation
  • Microsoft Corporation
  • Amazon Web Services, Inc.（AWS）
  • Google LLC（Google Cloud AI）
  • NVIDIA Corporation
  • Bosch Group
  • Mitsubishi Electric Corporation
  • Fanuc Corporation
  • Yokogawa Electric Corporation
Product Code: SMRC31573

According to Stratistics MRC, the Global AI in Manufacturing Market is accounted for $5.59 billion in 2025 and is expected to reach $41.61 billion by 2032 growing at a CAGR of 33.2% during the forecast period. Artificial Intelligence (AI) in manufacturing refers to the use of advanced algorithms, machine learning, and data analytics to optimize production processes, improve product quality, and enhance operational efficiency. It enables predictive maintenance, real-time monitoring, and intelligent automation across the manufacturing value chain. By analyzing large volumes of production data, AI helps identify patterns, predict equipment failures, and streamline decision-making. This technology supports smart manufacturing, reduces downtime, minimizes costs, and enhances flexibility, driving the transformation toward Industry 4.0 and fully connected intelligent factories.

Market Dynamics:

Driver:

Demand for automation & industry 4.0 adoption

Companies are deploying intelligent systems to optimize production lines, reduce downtime, and enhance quality control. Predictive maintenance, digital twins, and autonomous robotics are reshaping factory workflows. AI-powered analytics are improving supply chain visibility and inventory management. Investment in smart factories and connected infrastructure is rising across sectors. The market is transitioning toward data-driven, adaptive manufacturing ecosystems.

Restraint:

High initial investment & implementation costs

AI deployment requires capital-intensive upgrades to hardware, software, and data infrastructure. Customization, integration, and workforce training add to operational overhead. ROI timelines can be prolonged due to complex pilot phases and scalability challenges. Smaller firms often lack the resources to absorb upfront costs or manage long-term maintenance. These financial barriers are slowing platform rollout in cost-sensitive environments.

Opportunity:

Government support and policy initiatives

National programs focused on smart industry, digital transformation, and industrial competitiveness are offering subsidies and tax incentives. Public-private partnerships are accelerating R&D and pilot deployments across strategic sectors. Regulatory frameworks are evolving to support AI integration in safety-critical environments. Workforce reskilling and innovation grants are reinforcing ecosystem development. This momentum is expanding AI accessibility beyond large enterprises.

Threat:

Lack of skilled workforce

Manufacturers face shortages in data science, machine learning, and industrial automation expertise. Existing staff often require extensive retraining to manage AI-enabled systems and interpret analytics outputs. Talent gaps are affecting deployment timelines and system reliability. Collaboration between academia, industry, and government is needed to build a sustainable talent pipeline. These challenges are prompting investment in education, certification, and workforce development programs.

Covid-19 Impact:

The pandemic accelerated AI adoption as manufacturers sought resilience and remote operability. Disruptions in supply chains and labor availability highlighted the need for predictive analytics and autonomous systems. Companies invested in AI to manage demand fluctuations, optimize resource allocation, and ensure continuity. Remote monitoring, virtual commissioning, and digital twins gained traction during lockdowns. Recovery efforts are driving long-term investment in smart manufacturing infrastructure. The crisis permanently elevated AI from experimental technology to strategic necessity.

The machine learning segment is expected to be the largest during the forecast period

The machine learning segment is expected to account for the largest market share during the forecast period due to its versatility in optimizing production, quality, and maintenance. Manufacturers are using ML algorithms to detect anomalies, forecast equipment failures, and fine-tune process parameters. Integration with IoT sensors and cloud platforms is enhancing data collection and model accuracy. Vendors are offering pre-trained models and low-code interfaces to simplify deployment. Demand for scalable, adaptive solutions is rising across discrete and process industries.

The pharmaceuticals & chemicals segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the pharmaceuticals & chemicals segment is predicted to witness the highest growth rate as AI enables precision, compliance, and efficiency in regulated environments. Companies are deploying AI for batch optimization, predictive quality control, and real-time monitoring of critical parameters. Integration with lab automation and digital documentation is improving traceability and audit readiness. Demand for scalable solutions is rising in drug discovery, formulation, and hazardous material handling. Regulatory support and innovation funding are accelerating adoption. This segment is redefining manufacturing through intelligent process control.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to its advanced industrial base, strong R&D ecosystem, and regulatory clarity. The United States and Canada are scaling AI adoption across automotive, aerospace, electronics, and pharmaceuticals. Investment in cloud infrastructure, edge computing, and cybersecurity is driving platform maturity. Presence of leading AI vendors, manufacturing giants, and academic institutions is reinforcing market strength. Government initiatives and innovation hubs are accelerating deployment.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR as industrial digitization, policy support, and manufacturing expansion converge. Countries like China, India, Japan, and South Korea are investing in smart factories, AI labs, and workforce development. Local startups and global vendors are launching region-specific solutions tailored to diverse manufacturing environments. Government-backed programs and export-oriented strategies are accelerating adoption. Demand for automation and quality optimization is rising across sectors. The region is emerging as a strategic growth hub for AI in manufacturing.

Key players in the market

Some of the key players in AI in Manufacturing Market include Siemens AG, General Electric Company (GE), ABB Ltd., Rockwell Automation, Inc., Schneider Electric SE, Honeywell International Inc., IBM Corporation, Microsoft Corporation, Amazon Web Services, Inc. (AWS), Google LLC (Google Cloud AI), NVIDIA Corporation, Bosch Group, Mitsubishi Electric Corporation, Fanuc Corporation and Yokogawa Electric Corporation.

Key Developments:

In September 2025, Siemens and TRUMPF partnered to advance digital manufacturing and AI readiness. The partnership combined Siemens' digital expertise with TRUMPF's manufacturing excellence, focusing on system integration challenges and enabling faster time-to-market with standardized interfaces.

In February 2025, GE Aerospace announced expanded partnerships with HAL and Tata Group to strengthen its manufacturing footprint in India. These collaborations support AI-driven precision manufacturing and supply chain digitization, aligning with India's "Make in India" initiative and GE's $30 million investment in its Pune multi-modal facility.

Components Covered:

  • Hardware
  • Software
  • Services

Functions Covered:

  • Quality Control & Inspection
  • Predictive Maintenance
  • Production Planning & Scheduling
  • Supply Chain Optimization
  • Process Automation
  • Energy Management
  • Other Functions

Deployment Modes Covered:

  • On-Premise
  • Cloud-Based

Technologies Covered:

  • Machine Learning
  • Computer Vision
  • Natural Language Processing (NLP)
  • Predictive Analytics
  • Reinforcement Learning
  • Other Technologies

End Users Covered:

  • Automotive
  • Aerospace & Defense
  • Electronics & Semiconductors
  • Pharmaceuticals & Chemicals
  • Food & Beverage
  • Metals & Mining
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI in Manufacturing Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 Sensors
    • 5.2.2 Edge Devices
    • 5.2.3 Industrial Robots
  • 5.3 Software
    • 5.3.1 AI Platforms
    • 5.3.2 Analytics Engines
    • 5.3.3 Vision & Control Systems
  • 5.4 Services
    • 5.4.1 Integration & Consulting
    • 5.4.2 Managed Services
    • 5.4.3 Training & Support

6 Global AI in Manufacturing Market, By Function

  • 6.1 Introduction
  • 6.2 Quality Control & Inspection
  • 6.3 Predictive Maintenance
  • 6.4 Production Planning & Scheduling
  • 6.5 Supply Chain Optimization
  • 6.6 Process Automation
  • 6.7 Energy Management
  • 6.8 Other Functions

7 Global AI in Manufacturing Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 On-Premise
  • 7.3 Cloud-Based

8 Global AI in Manufacturing Market, By Technology

  • 8.1 Introduction
  • 8.2 Machine Learning
  • 8.3 Computer Vision
  • 8.4 Natural Language Processing (NLP)
  • 8.5 Predictive Analytics
  • 8.6 Reinforcement Learning
  • 8.7 Other Technologies

9 Global AI in Manufacturing Market, By End User

  • 9.1 Introduction
  • 9.2 Automotive
  • 9.3 Aerospace & Defense
  • 9.4 Electronics & Semiconductors
  • 9.5 Pharmaceuticals & Chemicals
  • 9.6 Food & Beverage
  • 9.7 Metals & Mining
  • 9.9 Other End Users

10 Global AI in Manufacturing Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Siemens AG
  • 12.2 General Electric Company (GE)
  • 12.3 ABB Ltd.
  • 12.4 Rockwell Automation, Inc.
  • 12.5 Schneider Electric SE
  • 12.6 Honeywell International Inc.
  • 12.7 IBM Corporation
  • 12.8 Microsoft Corporation
  • 12.9 Amazon Web Services, Inc. (AWS)
  • 12.10 Google LLC (Google Cloud AI)
  • 12.11 NVIDIA Corporation
  • 12.12 Bosch Group
  • 12.13 Mitsubishi Electric Corporation
  • 12.14 Fanuc Corporation
  • 12.15 Yokogawa Electric Corporation

List of Tables

  • Table 1 Global AI in Manufacturing Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI in Manufacturing Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AI in Manufacturing Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global AI in Manufacturing Market Outlook, By Sensors (2024-2032) ($MN)
  • Table 5 Global AI in Manufacturing Market Outlook, By Edge Devices (2024-2032) ($MN)
  • Table 6 Global AI in Manufacturing Market Outlook, By Industrial Robots (2024-2032) ($MN)
  • Table 7 Global AI in Manufacturing Market Outlook, By Software (2024-2032) ($MN)
  • Table 8 Global AI in Manufacturing Market Outlook, By AI Platforms (2024-2032) ($MN)
  • Table 9 Global AI in Manufacturing Market Outlook, By Analytics Engines (2024-2032) ($MN)
  • Table 10 Global AI in Manufacturing Market Outlook, By Vision & Control Systems (2024-2032) ($MN)
  • Table 11 Global AI in Manufacturing Market Outlook, By Services (2024-2032) ($MN)
  • Table 12 Global AI in Manufacturing Market Outlook, By Integration & Consulting (2024-2032) ($MN)
  • Table 13 Global AI in Manufacturing Market Outlook, By Managed Services (2024-2032) ($MN)
  • Table 14 Global AI in Manufacturing Market Outlook, By Training & Support (2024-2032) ($MN)
  • Table 15 Global AI in Manufacturing Market Outlook, By Function (2024-2032) ($MN)
  • Table 16 Global AI in Manufacturing Market Outlook, By Quality Control & Inspection (2024-2032) ($MN)
  • Table 17 Global AI in Manufacturing Market Outlook, By Predictive Maintenance (2024-2032) ($MN)
  • Table 18 Global AI in Manufacturing Market Outlook, By Production Planning & Scheduling (2024-2032) ($MN)
  • Table 19 Global AI in Manufacturing Market Outlook, By Supply Chain Optimization (2024-2032) ($MN)
  • Table 20 Global AI in Manufacturing Market Outlook, By Process Automation (2024-2032) ($MN)
  • Table 21 Global AI in Manufacturing Market Outlook, By Energy Management (2024-2032) ($MN)
  • Table 22 Global AI in Manufacturing Market Outlook, By Other Functions (2024-2032) ($MN)
  • Table 23 Global AI in Manufacturing Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 24 Global AI in Manufacturing Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 25 Global AI in Manufacturing Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 26 Global AI in Manufacturing Market Outlook, By Technology (2024-2032) ($MN)
  • Table 27 Global AI in Manufacturing Market Outlook, By Machine Learning (2024-2032) ($MN)
  • Table 28 Global AI in Manufacturing Market Outlook, By Computer Vision (2024-2032) ($MN)
  • Table 29 Global AI in Manufacturing Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 30 Global AI in Manufacturing Market Outlook, By Predictive Analytics (2024-2032) ($MN)
  • Table 31 Global AI in Manufacturing Market Outlook, By Reinforcement Learning (2024-2032) ($MN)
  • Table 32 Global AI in Manufacturing Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 33 Global AI in Manufacturing Market Outlook, By End User (2024-2032) ($MN)
  • Table 34 Global AI in Manufacturing Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 35 Global AI in Manufacturing Market Outlook, By Aerospace & Defense (2024-2032) ($MN)
  • Table 36 Global AI in Manufacturing Market Outlook, By Electronics & Semiconductors (2024-2032) ($MN)
  • Table 37 Global AI in Manufacturing Market Outlook, By Pharmaceuticals & Chemicals (2024-2032) ($MN)
  • Table 38 Global AI in Manufacturing Market Outlook, By Food & Beverage (2024-2032) ($MN)
  • Table 39 Global AI in Manufacturing Market Outlook, By Metals & Mining (2024-2032) ($MN)
  • Table 40 Global AI in Manufacturing Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.