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1849507

2025年全球製造業人工智慧市場報告

AI in Manufacturing Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

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簡介目錄

近年來，人工智慧在製造業的市場規模迅速擴張，從2024年的41.1億美元成長到2025年的57.9億美元，複合年成長率達40.8%。預測期內的成長歸因於能源效率和永續性、客製化和個人化、成本節約措施、員工技能提升和培訓以及供應鏈最佳化。

預計未來幾年，人工智慧在製造業的市場規模將呈指數級成長，到2029年將達到243.9億美元，複合年成長率（CAGR）高達43.3%。預測期內的成長可歸因於邊緣運算的普及、綠色製造措施的推進、對網路安全的重視、人機協作的日益增強以及供應鏈韌性的提升。預測期內的關鍵趨勢包括機器人和自動化技術的融合、品管和缺陷檢測、擴增實境應用、數據驅動的決策以及自主製造流程。

未來五年43.3%的預測成長率較我們先前對該市場的預測略微下降了0.7%。這一下降主要歸因於美國與其他國家之間的關稅影響。這可能會直接影響美國，擾亂依賴德國和日本工業IoT組件的人工智慧預測維修系統，導致更高的停機成本。此外，由於相互關稅以及貿易緊張局勢和限制升級對全球經濟和貿易的負面影響，這種影響也將更加廣泛。

汽車需求的成長預計將推動人工智慧在製造業領域的應用。汽車，通常簡稱為轎車或機動車，是一種用於在道路上運輸乘客或貨物的輪式車輛。汽車產業正透過各種應用將人工智慧（AI）融入製造過程，包括開發自動駕駛汽車、預測性維護、數據收集和分析以及品管和檢測。利用人工智慧，製造商可以改進車輛設計，並最佳化生產中使用的工具和機器人。目前，人工智慧正應用於製造流程、供應鏈、後生產和汽車設計等各個環節。例如，總部位於比利時的歐洲汽車製造商協會（EAMA）在2023年5月發布的報告顯示，2022年全球汽車產量為8,540萬輛，較2021年成長5.7%。因此，不斷成長的汽車需求是推動人工智慧在製造業市場擴張的關鍵因素。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅，以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 人工智慧在全球製造業的應用：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 終端用戶產業分析
  • 全球製造業人工智慧市場：成長率分析
  • 全球人工智慧市場在製造業的表現：規模與成長，2019-2024年
  • 全球製造業人工智慧市場預測：規模與成長，2024-2029年，2034年預測
  • 全球製造業人工智慧：潛在市場規模（TAM）

第6章 市場細分

  • 全球製造業人工智慧市場：依應用領域分類，實際結果及預測（2019-2024年、2024-2029年預測、2034年預測）
  • 硬體
  • 軟體
  • 服務
  • 全球製造業人工智慧市場：依技術、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 機器學習
  • 自然語言處理
  • 情境感知計算
  • 電腦視覺
  • 全球製造業人工智慧市場：按部署、結果和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 雲
  • 本地部署
  • 全球製造業人工智慧市場：按應用、結果和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 預測性維護和機器檢查
  • 物料轉移
  • 生產計畫
  • 現場服務
  • 品管
  • 網路安全
  • 工業機器人
  • 發展
  • 全球製造業人工智慧市場：依產業分類，結果及預測，2019-2024年、2024-2029年預測、2034年預測
  • 車
  • 能源與電力
  • 半導體和電子學
  • 製藥
  • 重金屬和機械製造
  • 食品/飲料
  • 其他行業
  • 全球製造業人工智慧市場：按硬體類型細分，實際值和預測值（2019-2024 年、2024-2029 年預測值、2034 年預測值）
  • 感應器
  • 機器人
  • 處理器
  • 自動化系統
  • 物聯網設備
  • 全球製造業人工智慧市場：細分市場（按類型分類）軟體，實際數據及預測，2019-2024年、2024-2029年預測、2034年預測
  • 機器學習軟體
  • 數據分析軟體
  • 品管軟體
  • 供應鏈管理軟體
  • 客戶關係管理 (CRM) 軟體

第7章 區域和國家分析

  • 全球製造業人工智慧市場：依地區分類，結果及預測，2019-2024年、2024-2029年預測、2034年預測
  • 全球製造業人工智慧市場：依國家分類，結果及預測，2019-2024 年、2024-2029 年預測、2034 年預測

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 人工智慧在製造業的應用：競爭格局
  • 人工智慧在製造業的市場：公司概況
    • Nvidia Corporation Overview, Products and Services, Strategy and Financial Analysis
    • The International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Siemens AG Overview, Products and Services, Strategy and Financial Analysis
    • General Electric Company Overview, Products and Services, Strategy and Financial Analysis
    • SAP SE Overview, Products and Services, Strategy and Financial Analysis

第31章：其他領先和創新企業

  • Amazon Inc.
  • Mitsubishi Electric Corporation
  • Rockwell Automation Inc.
  • Robert Bosch GmbH
  • Google LLC
  • Intel Corporation
  • Micron Technology Inc.
  • Oracle Corporation
  • Cisco Systems Inc.
  • Microsoft Corporation
  • Hilscher Gesellschaft fur Systemautomation GmbH
  • Beckhoff Automation GmbH
  • Phoenix Contact GmbH & Co. KG
  • Veo Robotics
  • Automation Anywhere

第32章 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：高潛力市場國家、細分市場與策略

  • 2029年人工智慧在製造業的應用：提供新機會的國家
  • 2029年製造業人工智慧：充滿新機會的細分領域
  • 2029年製造業人工智慧市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
Product Code: r32367u

AI in manufacturing refers to the incorporation of artificial intelligence (AI) technologies into the manufacturing process, aiming to enhance efficiency, productivity, and product quality. This integration involves the utilization of machine learning algorithms, computer vision, robotics, and other AI tools to analyze data, automate processes, and optimize overall production. By leveraging AI in manufacturing, companies can achieve cost reductions, improve the quality of their products, and enhance overall operational performance.

The primary types of AI technologies applied in manufacturing include machine learning, natural language processing, context-aware computing, and computer vision. Machine learning, as a subset of AI, focuses on developing algorithms and statistical models that enable computer systems to learn from data, allowing them to make predictions or decisions without explicit programming. These AI technologies are available in the form of hardware, software, and services, with deployment options including cloud-based and on-premises solutions. Their applications span various areas such as predictive maintenance, machinery inspection, material movement, production planning, field services, quality control, cybersecurity, industrial robots, and reclamation. Industries benefiting from AI in manufacturing include automobiles, energy and power, semiconductors and electronics, pharmaceuticals, heavy metal and machine manufacturing, food and beverage, among others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The AI in manufacturing market research report is one of a series of new reports from The Business Research Company that provides AI in manufacturing market statistics, including the AI in manufacturing industry global market size, regional shares, competitors with a AI in manufacturing market share, detailed AI in manufacturing market segments, market trends, and opportunities, and any further data you may need to thrive in the AI in manufacturing industry. This AI in manufacturing market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The ai in manufacturing market size has grown exponentially in recent years. It will grow from $4.11 billion in 2024 to $5.79 billion in 2025 at a compound annual growth rate (CAGR) of 40.8%. The growth in the historic period can be attributed to energy efficiency and sustainability, customization and personalization, cost reduction measures, workforce upskilling and training, and supply chain optimization.

The ai in manufacturing market size is expected to see exponential growth in the next few years. It will grow to $24.39 billion in 2029 at a compound annual growth rate (CAGR) of 43.3%. The growth in the forecast period can be attributed to the adoption of edge computing, green manufacturing initiatives, focus on cybersecurity, enhanced human-machine collaboration, and supply chain resilience. Major trends in the forecast period include robotics and automation integration, quality control and defect detection, augmented reality applications, data-driven decision-making, and autonomous manufacturing processes.

The forecast of 43.3% growth over the next five years reflects a modest reduction of 0.7% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US by disrupting AI-powered predictive maintenance systems, reliant on industrial IoT components from Germany and Japan, leading to higher downtime costs. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The rising demand for automobiles is anticipated to drive the growth of AI in the manufacturing sector in the future. An automobile, often referred to as a car or motorcar, is a wheeled vehicle intended for transporting passengers or goods on roads. The automobile industry integrates AI (artificial intelligence) in manufacturing through various applications, including the development of autonomous vehicles, predictive maintenance, data collection and analysis, as well as quality control and inspection. By leveraging AI, manufacturers can enhance vehicle design and optimize the tools and robots used in production. Currently, AI is utilized across the manufacturing process, supply chain, post-production, and automobile design. For example, the European Automobile Manufacturers Association, a Belgium-based trade organization, reported in May 2023 that 85.4 million motor vehicles were produced globally in 2022, marking a 5.7% increase from 2021. Thus, the growing demand for automobiles is a key factor propelling the expansion of AI in the manufacturing market.

The increasing adoption of industrial robots is expected to drive the growth of AI in the manufacturing sector in the future. Industrial robots are mechanical devices designed to perform production-related tasks automatically in industrial environments. Artificial intelligence (AI) is transforming the manufacturing landscape; by incorporating AI capabilities into robots, manufacturers are achieving unprecedented levels of efficiency, flexibility, and safety. For example, the International Federation of Robotics, a Germany-based organization focused on robotics research, reported in September 2023 that factories around the globe installed 553,052 industrial robots in 2022, reflecting a 5% increase from the previous year. Therefore, the rise in the use of industrial robots is a significant factor contributing to the growth of AI in the manufacturing market.

A prominent trend in the AI in manufacturing market is the increasing focus on technological advancements by companies to maintain their competitive positions. In March 2023, Leela AI, a US-based software development company, introduced the Leela Platform, its inaugural 'commonsense' visual AI platform designed to enhance manufacturing output. This platform allows manufacturers to uncover insights into production processes that may not be evident through Industrial Internet of Things (IIOT) sensor analytics. Users of the Leela Platform can compare productivity across shifts, workstations, and locations, identify bottlenecks, and recognize best practices. Industrial engineers, CI officers, and line supervisors can leverage the platform, which functions as an ongoing time-and-motion study by monitoring frontline activities involving equipment, machines, parts, and products.

Major players in the AI in manufacturing market are actively engaged in developing technological innovations, such as AI platforms, to gain a competitive advantage. An AI platform is a comprehensive solution for constructing, deploying, and managing machine learning (ML) models at scale, offering tools and services to facilitate the development and utilization of AI applications. For example, in October 2023, Fujitsu Limited, a Japan-based information and communications technology equipment company, launched the Kozuchi AI platform. This platform is designed to simplify access to AI and machine learning (ML) solutions globally, providing pre-built AI and ML solutions that eliminate the need to start from scratch. This novel approach is anticipated to significantly reduce the man-hours required to create an AI model, particularly in addressing production scheduling optimization challenges, by up to 95%.

In June 2023, Accenture plc., an Ireland-based professional services company, completed the acquisition of Flutura, an Indian-based provider of industrial artificial intelligence (AI). This strategic move is expected to enhance Accenture's industrial AI services, enabling clients to expedite the achievement of net-zero goals. The acquisition of Flutura positions Accenture as a key player in leveraging industrial AI for sustainable and efficient solutions in various industries.

Major companies operating in the ai in manufacturing market report are Nvidia Corporation, The International Business Machines Corporation, Siemens AG, General Electric Company, SAP SE, Amazon Inc., Mitsubishi Electric Corporation, Rockwell Automation Inc., Robert Bosch GmbH, Google LLC, Intel Corporation, Micron Technology Inc., Oracle Corporation, Cisco Systems Inc., Microsoft Corporation, Hilscher Gesellschaft fur Systemautomation GmbH, Beckhoff Automation GmbH, Phoenix Contact GmbH & Co. KG, Veo Robotics, Automation Anywhere, Machina Labs Inc., Advanced Micro Devices Inc., SoluLab, Keyence Corporation, LeewayHertz, Citadel Analytics, Omron Corporation, Yokogawa Electric Corporation, Cognex Corporation, Bosch Rexroth AG

Asia-Pacific was the largest region in the AI in manufacturing market in 2024. It is expected to be the fastest-growing region in the global AI in manufacturing market report during the forecast period. The regions covered in the ai in manufacturing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the ai in manufacturing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

AI in the manufacturing market consists of revenues earned by entities by providing services such as quality assurance, warehouse automation, and robotic process automation (RPA). The market value includes the value of related goods sold by the service provider or included within the service offering. AI in the manufacturing market also includes sales of graphical processing units, tensor processing units, and optimized chips. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI in Manufacturing Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai in manufacturing market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for ai in manufacturing ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The ai in manufacturing market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Offering: Hardware; Software; Services
  • 2) By Technology: Machine Learning; Natural Language Processing; Context-Aware Computing; Computer Vision
  • 3) By Deployment: Cloud; On-Premise
  • 4) By Application: Predictive maintenance and machinery inspection; Material Movement; Production Planning; Field Services; Quality Control; Cybersecurity; Industrial Robots; Reclamation
  • 5) By Industry: Automobile; Energy And Power; Semiconductor And Electronics; Pharmaceutical; Heavy Metal And Machine Manufacturing; Food And Beverage; Other Industries
  • Subsegments:
  • 1) By Hardware: Sensors; Robots; Processors; Automation Systems; IoT Devices
  • 2) By Software: Machine Learning Software; Data Analytics Software; Quality Control Software; Supply Chain Management Software; Customer Relationship Management (CRM) Software
  • Companies Mentioned: Nvidia Corporation; The International Business Machines Corporation; Siemens AG; General Electric Company; SAP SE; Amazon Inc.; Mitsubishi Electric Corporation; Rockwell Automation Inc.; Robert Bosch GmbH; Google LLC; Intel Corporation; Micron Technology Inc.; Oracle Corporation; Cisco Systems Inc.; Microsoft Corporation; Hilscher Gesellschaft fur Systemautomation GmbH; Beckhoff Automation GmbH; Phoenix Contact GmbH & Co. KG; Veo Robotics; Automation Anywhere; Machina Labs Inc.; Advanced Micro Devices Inc.; SoluLab; Keyence Corporation; LeewayHertz; Citadel Analytics; Omron Corporation; Yokogawa Electric Corporation; Cognex Corporation; Bosch Rexroth AG
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. AI in Manufacturing Market Characteristics

3. AI in Manufacturing Market Trends And Strategies

4. AI in Manufacturing Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global AI in Manufacturing Growth Analysis And Strategic Analysis Framework

  • 5.1. Global AI in Manufacturing PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global AI in Manufacturing Market Growth Rate Analysis
  • 5.4. Global AI in Manufacturing Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global AI in Manufacturing Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global AI in Manufacturing Total Addressable Market (TAM)

6. AI in Manufacturing Market Segmentation

  • 6.1. Global AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Hardware
  • Software
  • Services
  • 6.2. Global AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning
  • Natural Language Processing
  • Context-Aware Computing
  • Computer Vision
  • 6.3. Global AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud
  • On-Premise
  • 6.4. Global AI in Manufacturing Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Predictive maintenance and machinery inspection
  • Material Movement
  • Production Planning
  • Field Services
  • Quality Control
  • Cybersecurity
  • Industrial Robots
  • Reclamation
  • 6.5. Global AI in Manufacturing Market, Segmentation By Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Automobile
  • Energy And Power
  • Semiconductor And Electronics
  • Pharmaceutical
  • Heavy Metal And Machine Manufacturing
  • Food And Beverage
  • Other Industries
  • 6.6. Global AI in Manufacturing Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Sensors
  • Robots
  • Processors
  • Automation Systems
  • IoT Devices
  • 6.7. Global AI in Manufacturing Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning Software
  • Data Analytics Software
  • Quality Control Software
  • Supply Chain Management Software
  • Customer Relationship Management (CRM) Software

7. AI in Manufacturing Market Regional And Country Analysis

  • 7.1. Global AI in Manufacturing Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global AI in Manufacturing Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific AI in Manufacturing Market

  • 8.1. Asia-Pacific AI in Manufacturing Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China AI in Manufacturing Market

  • 9.1. China AI in Manufacturing Market Overview
  • 9.2. China AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India AI in Manufacturing Market

  • 10.1. India AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan AI in Manufacturing Market

  • 11.1. Japan AI in Manufacturing Market Overview
  • 11.2. Japan AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia AI in Manufacturing Market

  • 12.1. Australia AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia AI in Manufacturing Market

  • 13.1. Indonesia AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea AI in Manufacturing Market

  • 14.1. South Korea AI in Manufacturing Market Overview
  • 14.2. South Korea AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe AI in Manufacturing Market

  • 15.1. Western Europe AI in Manufacturing Market Overview
  • 15.2. Western Europe AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK AI in Manufacturing Market

  • 16.1. UK AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany AI in Manufacturing Market

  • 17.1. Germany AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France AI in Manufacturing Market

  • 18.1. France AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy AI in Manufacturing Market

  • 19.1. Italy AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain AI in Manufacturing Market

  • 20.1. Spain AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe AI in Manufacturing Market

  • 21.1. Eastern Europe AI in Manufacturing Market Overview
  • 21.2. Eastern Europe AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia AI in Manufacturing Market

  • 22.1. Russia AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America AI in Manufacturing Market

  • 23.1. North America AI in Manufacturing Market Overview
  • 23.2. North America AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA AI in Manufacturing Market

  • 24.1. USA AI in Manufacturing Market Overview
  • 24.2. USA AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada AI in Manufacturing Market

  • 25.1. Canada AI in Manufacturing Market Overview
  • 25.2. Canada AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America AI in Manufacturing Market

  • 26.1. South America AI in Manufacturing Market Overview
  • 26.2. South America AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil AI in Manufacturing Market

  • 27.1. Brazil AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East AI in Manufacturing Market

  • 28.1. Middle East AI in Manufacturing Market Overview
  • 28.2. Middle East AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa AI in Manufacturing Market

  • 29.1. Africa AI in Manufacturing Market Overview
  • 29.2. Africa AI in Manufacturing Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa AI in Manufacturing Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa AI in Manufacturing Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. AI in Manufacturing Market Competitive Landscape And Company Profiles

  • 30.1. AI in Manufacturing Market Competitive Landscape
  • 30.2. AI in Manufacturing Market Company Profiles
    • 30.2.1. Nvidia Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. The International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Siemens AG Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. General Electric Company Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. SAP SE Overview, Products and Services, Strategy and Financial Analysis

31. AI in Manufacturing Market Other Major And Innovative Companies

  • 31.1. Amazon Inc.
  • 31.2. Mitsubishi Electric Corporation
  • 31.3. Rockwell Automation Inc.
  • 31.4. Robert Bosch GmbH
  • 31.5. Google LLC
  • 31.6. Intel Corporation
  • 31.7. Micron Technology Inc.
  • 31.8. Oracle Corporation
  • 31.9. Cisco Systems Inc.
  • 31.10. Microsoft Corporation
  • 31.11. Hilscher Gesellschaft fur Systemautomation GmbH
  • 31.12. Beckhoff Automation GmbH
  • 31.13. Phoenix Contact GmbH & Co. KG
  • 31.14. Veo Robotics
  • 31.15. Automation Anywhere

32. Global AI in Manufacturing Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI in Manufacturing Market

34. Recent Developments In The AI in Manufacturing Market

35. AI in Manufacturing Market High Potential Countries, Segments and Strategies

  • 35.1 AI in Manufacturing Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 AI in Manufacturing Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 AI in Manufacturing Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer