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全球製造業人工智慧市場：按最終用戶產業、應用、技術、組件和地區進行分析和預測（2024-2034）
市場調查報告書
商品編碼
1470377

全球製造業人工智慧市場：按最終用戶產業、應用、技術、組件和地區進行分析和預測（2024-2034）

Global AI in Manufacturing Market: Focus on End-Use Industry, Application, Technology, Component, and Region - Analysis and Forecast, 2024-2034
出版日期: | 出版商: BIS Research | 英文 100 Pages | 商品交期: 1-5個工作天內

價格
簡介目錄

人工智慧正在透過提高生產力、效率和資料主導的決策來重塑製造業格局。

使用人工智慧機器人實現任務自動化不僅可以簡化業務，還可以提高職場的安全性。透過將勞動力解放出來，讓他們專注於更複雜的任務，人工智慧正在幫助我們在快速發展的全球市場中保持競爭力，並為更敏捷和應對力的行業鋪平道路。

樂觀情況下，2024年市場規模預估為51.2億美元，年複合成長率為38.46%，預計2034年將成長至1,325.4億美元。這一成長趨勢的主要驅動力是管理日益複雜的資料集的需求以及製造業機器學習演算法和資料分析的進步。

主要市場統計數據
預測期 2024-2034
2024年評估值 51.2億美元
2034年預測 1325.4億美元
年複合成長率 38.46%

儘管存在這些市場促進因素，但市場仍面臨諸如合格人才的可用性等障礙，尤其是在新興經濟體。然而，利用人工智慧、機器學習和自然語言處理 (NLP) 實現智慧業務流程為在製造業中擴展人工智慧提供了有利可圖的機會。人工智慧和巨量資料分析使企業能夠快速分析來自不同來源的各種結構化和非結構化資料。這使企業能夠識別異常情況，降低維護成本，增強客戶服務，實施預測性和預防性保養措施，並利用原始資料做出明智的決策。

北美的製造業人工智慧市場正在經歷顯著成長。北美地區的許多國家，包括美國、加拿大和墨西哥，都實施了政策和獎勵來加速人工智慧的採用。這些政策通常包括旨在減少排放和促進永續交通解決方案的補貼、稅收優惠和監管措施。該地區的製造業人工智慧格局充滿活力，既有新興企業、研究計劃，也有產業領導者之間的策略聯盟。雖然北美目前引領市場，但亞太地區預計在預測期內將顯著成長。這一成長是由人工智慧技術在製造業中的快速接受和整合所推動的，從而提高了業務效率和創新進步。

本報告調查了全球製造業人工智慧市場，包括行業趨勢、法律制度、使用案例、市場規模趨勢和預測、各個細分市場/地區/主要國家的詳細分析、競爭格局主要企業簡介等

目錄

執行摘要

第1章市場：產業展望

  • 趨勢：當前和未來的影響評估
  • 供應鏈概覽
    • 價值鏈分析
    • 價格預測
  • 監管狀況
  • 相關利益者分析
    • 使用案例
    • 最終用戶和購買標準
  • 全球重大事件影響分析
  • 市場動態概覽
    • 市場促進因素
    • 市場限制因素
    • 市場機會

第2章 製造業人工智慧市場：依應用分類

  • 使用分類
  • 應用概述
  • 製造業人工智慧市場：按最終用戶產業
    • 車
    • 醫療設備
    • 電子產品
    • 能源/電力
    • 重金屬/機械製造
    • 航太/國防
    • 其他
  • 製造業人工智慧市場：按應用分類
    • 組裝/品質測試
    • 產品開發/工程
    • 採購
    • 訂單管理
    • 維護
    • 物流/庫存管理
    • 其他

第3章 製造業人工智慧市場：依產品分類

  • 產品分類
  • 產品概要
  • 製造業人工智慧市場：按組成部分
    • 軟體
    • 硬體
    • 服務
  • 製造業人工智慧市場：依技術分類
    • 機器學習
    • 電腦視覺
    • 自然語言處理（NLP）
    • 其他

第4章 製造業人工智慧市場：按地區分類

  • 製造業人工智慧市場：按地區分類
  • 北美洲
  • 歐洲
  • 亞太地區
  • 其他地區

第5章 公司簡介

  • 下一個前沿
  • 地理評估
    • Nvidia Corporation
    • IBM
    • Intel Corporation
    • Siemens
    • GENERAL ELECTRIC
    • Google LLC
    • Microsoft
    • Micron Technology, Inc.
    • Sight Machine
    • Oracle
    • Cisco Systems, Inc.
    • SAP
    • Bright Machines, Inc.
    • Mitsubishi Electric Corporation
    • General Vision Inc.
    • 其他

第6章調查方法

簡介目錄
Product Code: DTA1999SA

Introduction to the AI in Manufacturing Market

AI is reshaping the manufacturing landscape by boosting productivity, efficiency, and data-driven decision-making. Automation of tasks through AI-powered robots not only streamlines operations but also enhances workplace safety. By freeing up human workers to focus on more complex activities, AI enables manufacturers to stay competitive in a rapidly evolving global market, paving the way for a more agile and responsive industry. Considering the optimistic scenario, the market is valued at $5.12 billion in 2024 and is expected to grow at a CAGR of 38.46% to reach $132.54 billion by 2034. The growth trend is chiefly driven by the requirement to manage increasingly intricate datasets and the advancements in machine learning algorithms and data analytics within the manufacturing sector.

KEY MARKET STATISTICS
Forecast Period2024 - 2034
2024 Evaluation$5.12 Billion
2034 Forecast$132.54 Billion
CAGR38.46%

Despite these positive drivers, the market faces hurdles such as skilled workforce availability, particularly in developing nations. However, leveraging AI, machine learning, and natural language processing (NLP) for smart enterprise processes presents lucrative opportunities for the expansion of AI in manufacturing sector. With AI and big data analytics, companies can swiftly analyze extensive structured and unstructured data from diverse sources. This enables them to identify anomalies, reduce maintenance expenses, enhance customer service, implement predictive and preventive maintenance measures, and leverage raw data for informed decision-making.

The AI in manufacturing market in the North America region is experiencing significant growth. Many countries in the North America region, including the U.S., Canada, and Mexico, have implemented policies and incentives to promote the adoption of AI. These policies typically include subsidies, tax incentives, and regulatory measures aimed at reducing emissions and promoting sustainable transportation solutions. The region's AI in manufacturing landscape is dynamic, featuring a mix of startups, research initiatives, and strategic collaborations among industry leaders. Currently, North America is leading the market. However, during the forecast period, the Asia-Pacific region is poised for substantial growth in the AI in manufacturing market. This growth is fueled by the rapid acceptance and integration of AI technologies across various manufacturing industries, leading to enhanced operational efficiency and innovative advancements.

Leading companies such as NVIDIA Corporation, IBM, and Intel Corporation are pioneering the way forward, providing a comprehensive array of AI products encompassing software, hardware, machine learning, computer vision, and natural language processing. The companies utilize AI to revolutionize manufacturing through solutions such as NVIDIA Metropolis, Isaac Sim, IBM's generative AI, and Intel's semiconductor optimization, enhancing efficiency and enabling data-driven decision-making. They also invest heavily in research and development to innovate new products.

Market Segmentation:

Segmentation 1: by End-Use Industry

  • Automotive
  • Medical Devices
  • Electronics
  • Energy and Power
  • Heavy Metals and Machine Manufacturing
  • Aerospace and Defense
  • Others

Segmentation 2: by Application

  • Assembly/Quality Testing
  • Product Development and Engineering
  • Procurement
  • Order Management
  • Maintenance
  • Logistics and Inventory Management
  • Others

Segmentation 3: by Component

  • Software
  • Hardware
  • Service

Segmentation 4: by Technology

  • Machine Learning
  • Computer Vision
  • Natural Language Processing (NLP)
  • Others

Segmentation 5: by Region

  • North America
  • Europe
  • Asia-Pacific
  • Rest-of-the-World

Key Market Players and Competition Synopsis

The companies that are profiled in the global AI in manufacturing market have been selected based on input gathered from primary experts and analyzing company coverage, product portfolio, and market penetration.

Some of the prominent companies in this market are:

  • IBM
  • Microsoft
  • Siemens
  • Nvidia Corporation
  • Google LLC

Key Questions Answered in this Report:

  • What are the main factors driving the demand for AI in manufacturing markets?
  • What are the major patents filed by the companies active in the AI in manufacturing markets?
  • Who are the key players in the AI in manufacturing markets, and what are their respective market shares?
  • What partnerships or collaborations are prominent among stakeholders in the AI in manufacturing markets?
  • What are the strategies adopted by the key companies to gain a competitive edge in AI in manufacturing markets?
  • What is the futuristic outlook for the AI in manufacturing markets in terms of growth potential?
  • What is the current estimation of the AI in manufacturing markets, and what growth trajectory is projected from 2024 to 2034?
  • Which application, and product segment is expected to lead the market over the forecast period (2024-2034)?
  • What could be the impact of growing end-use industries in the AI in manufacturing markets?
  • Which regions demonstrate the highest adoption rates for AI in manufacturing markets, and what factors contribute to their leadership?

Table of Contents

Executive Summary

Scope and Definition

Market/Product Definition

Key Questions Answered

Analysis and Forecast Note

1. Markets: Industry Outlook

  • 1.1 Trends: Current and Future Impact Assessment
  • 1.2 Supply Chain Overview
    • 1.2.1 Value Chain Analysis
    • 1.2.2 Pricing Forecast
  • 1.3 Regulatory Landscape
  • 1.4 Stakeholder Analysis
    • 1.4.1 Use Case
    • 1.4.2 End User and Buying Criteria
  • 1.5 Impact Analysis for Key Global Events
  • 1.6 Market Dynamics Overview
    • 1.6.1 Market Drivers
    • 1.6.2 Market Restraints
    • 1.6.3 Market Opportunities

2. AI in Manufacturing (by Application)

  • 2.1 Application Segmentation
  • 2.2 Application Summary
  • 2.3 AI in Manufacturing Market (by End-Use Industry)
    • 2.3.1 Automotive
    • 2.3.2 Medical Devices
    • 2.3.3 Electronics
    • 2.3.4 Energy & Power
    • 2.3.5 Heavy Metals & Machine Manufacturing
    • 2.3.6 Aerospace & Defence
    • 2.3.7 Others
  • 2.4 AI in Manufacturing Market (by Application)
    • 2.4.1 Assembly/Quality Testing
    • 2.4.2 Product Development & Engineering
    • 2.4.3 Procurement
    • 2.4.4 Order Management
    • 2.4.5 Maintenance
    • 2.4.6 Logistics and Inventory Management
    • 2.4.7 Others

3. AI in Manufacturing (by Product)

  • 3.1 Product Segmentation
  • 3.2 Product Summary
  • 3.3 AI in Manufacturing (by Component)
    • 3.3.1 Software
    • 3.3.2 Hardware
    • 3.3.3 Service
  • 3.4 AI in Manufacturing (by Technology)
    • 3.4.1 Machine Learning
    • 3.4.2 Computer Vision
    • 3.4.3 Natural Language Processing (NLP)
    • 3.4.4 Others

4. Global AI in Manufacturing (by Region)

  • 4.1 AI in Manufacturing (by Region)
  • 4.2 North America
    • 4.2.1 Regional Overview
    • 4.2.2 Driving Factors for Market Growth
    • 4.2.3 Factors Challenging the Market
    • 4.2.4 Application
    • 4.2.5 Product
    • 4.2.6 U.S.
      • 4.2.6.1 Market by Application
      • 4.2.6.2 Market by Product
    • 4.2.7 Canada
      • 4.2.7.1 Market by Application
      • 4.2.7.2 Market by Product
    • 4.2.8 Mexico
      • 4.2.8.1 Market by Application
      • 4.2.8.2 Market by Product
  • 4.3 Europe
    • 4.3.1 Regional Overview
    • 4.3.2 Driving Factors for Market Growth
    • 4.3.3 Factors Challenging the Market
    • 4.3.4 Application
    • 4.3.5 Product
    • 4.3.6 Germany
      • 4.3.6.1 Market by Application
      • 4.3.6.2 Market by Product
    • 4.3.7 France
      • 4.3.7.1 Market by Application
      • 4.3.7.2 Market by Product
    • 4.3.8 U.K.
      • 4.3.8.1 Market by Application
      • 4.3.8.2 Market by Product
    • 4.3.9 Italy
      • 4.3.9.1 Market by Application
      • 4.3.9.2 Market by Product
    • 4.3.10 Rest-of-Europe
      • 4.3.10.1 Market by Application
      • 4.3.10.2 Market by Product
  • 4.4 Asia-Pacific
    • 4.4.1 Regional Overview
    • 4.4.2 Driving Factors for Market Growth
    • 4.4.3 Factors Challenging the Market
    • 4.4.4 Application
    • 4.4.5 Product
    • 4.4.6 China
      • 4.4.6.1 Market by Application
      • 4.4.6.2 Market by Product
    • 4.4.7 Japan
      • 4.4.7.1 Market by Application
      • 4.4.7.2 Market by Product
    • 4.4.8 India
      • 4.4.8.1 Market by Application
      • 4.4.8.2 Market by Product
    • 4.4.9 South Korea
      • 4.4.9.1 Market by Application
      • 4.4.9.2 Market by Product
    • 4.4.10 Rest-of-Asia-Pacific
      • 4.4.10.1 Market by Application
      • 4.4.10.2 Market by Product
  • 4.5 Rest-of-the-World
    • 4.5.1 Regional Overview
    • 4.5.2 Driving Factors for Market Growth
    • 4.5.3 Factors Challenging the Market
    • 4.5.4 Application
    • 4.5.5 Product
    • 4.5.6 South America
      • 4.5.6.1 Market by Application
      • 4.5.6.2 Market by Product
    • 4.5.7 Middle East and Africa
      • 4.5.7.1 Market by Application
      • 4.5.7.2 Market by Product

5. Companies Profiled

  • 5.1 Next Frontiers
  • 5.2 Geographic Assessment
    • 5.2.1 Nvidia Corporation
      • 5.2.1.1 Overview
      • 5.2.1.2 Top Products/Product Portfolio
      • 5.2.1.3 Top Competitors
      • 5.2.1.4 Target Customers
      • 5.2.1.5 Key Personnel
      • 5.2.1.6 Analyst View
      • 5.2.1.7 Market Share
    • 5.2.2 IBM
      • 5.2.2.1 Overview
      • 5.2.2.2 Top Products/Product Portfolio
      • 5.2.2.3 Top Competitors
      • 5.2.2.4 Target Customers
      • 5.2.2.5 Key Personnel
      • 5.2.2.6 Analyst View
      • 5.2.2.7 Market Share
    • 5.2.3 Intel Corporation
      • 5.2.3.1 Overview
      • 5.2.3.2 Top Products/Product Portfolio
      • 5.2.3.3 Top Competitors
      • 5.2.3.4 Target Customers
      • 5.2.3.5 Key Personnel
      • 5.2.3.6 Analyst View
      • 5.2.3.7 Market Share
    • 5.2.4 Siemens
      • 5.2.4.1 Overview
      • 5.2.4.2 Top Products/Product Portfolio
      • 5.2.4.3 Top Competitors
      • 5.2.4.4 Target Customers
      • 5.2.4.5 Key Personnel
      • 5.2.4.6 Analyst View
      • 5.2.4.7 Market Share
    • 5.2.5 GENERAL ELECTRIC
      • 5.2.5.1 Overview
      • 5.2.5.2 Top Products/Product Portfolio
      • 5.2.5.3 Top Competitors
      • 5.2.5.4 Target Customers
      • 5.2.5.5 Key Personnel
      • 5.2.5.6 Analyst View
      • 5.2.5.7 Market Share
    • 5.2.6 Google LLC
      • 5.2.6.1 Overview
      • 5.2.6.2 Top Products/Product Portfolio
      • 5.2.6.3 Top Competitors
      • 5.2.6.4 Target Customers
      • 5.2.6.5 Key Personnel
      • 5.2.6.6 Analyst View
      • 5.2.6.7 Market Share
    • 5.2.7 Microsoft
      • 5.2.7.1 Overview
      • 5.2.7.2 Top Products/Product Portfolio
      • 5.2.7.3 Top Competitors
      • 5.2.7.4 Target Customers
      • 5.2.7.5 Key Personnel
      • 5.2.7.6 Analyst View
      • 5.2.7.7 Market Share
    • 5.2.8 Micron Technology, Inc.
      • 5.2.8.1 Overview
      • 5.2.8.2 Top Products/Product Portfolio
      • 5.2.8.3 Top Competitors
      • 5.2.8.4 Target Customers
      • 5.2.8.5 Key Personnel
      • 5.2.8.6 Analyst View
      • 5.2.8.7 Market Share
    • 5.2.9 Sight Machine
      • 5.2.9.1 Overview
      • 5.2.9.2 Top Products/Product Portfolio
      • 5.2.9.3 Top Competitors
      • 5.2.9.4 Target Customers
      • 5.2.9.5 Key Personnel
      • 5.2.9.6 Analyst View
      • 5.2.9.7 Market Share
    • 5.2.10 Oracle
      • 5.2.10.1 Overview
      • 5.2.10.2 Top Products/Product Portfolio
      • 5.2.10.3 Top Competitors
      • 5.2.10.4 Target Customers
      • 5.2.10.5 Key Personnel
      • 5.2.10.6 Analyst View
      • 5.2.10.7 Market Share
    • 5.2.11 Cisco Systems, Inc.
      • 5.2.11.1 Overview
      • 5.2.11.2 Top Products/Product Portfolio
      • 5.2.11.3 Top Competitors
      • 5.2.11.4 Target Customers
      • 5.2.11.5 Key Personnel
      • 5.2.11.6 Analyst View
      • 5.2.11.7 Market Share
    • 5.2.12 SAP
      • 5.2.12.1 Overview
      • 5.2.12.2 Top Products/Product Portfolio
      • 5.2.12.3 Top Competitors
      • 5.2.12.4 Target Customers
      • 5.2.12.5 Key Personnel
      • 5.2.12.6 Analyst View
      • 5.2.12.7 Market Share
    • 5.2.13 Bright Machines, Inc.
      • 5.2.13.1 Overview
      • 5.2.13.2 Top Products/Product Portfolio
      • 5.2.13.3 Top Competitors
      • 5.2.13.4 Target Customers
      • 5.2.13.5 Key Personnel
      • 5.2.13.6 Analyst View
      • 5.2.13.7 Market Share
    • 5.2.14 Mitsubishi Electric Corporation
      • 5.2.14.1 Overview
      • 5.2.14.2 Top Products/Product Portfolio
      • 5.2.14.3 Top Competitors
      • 5.2.14.4 Target Customers
      • 5.2.14.5 Key Personnel
      • 5.2.14.6 Analyst View
      • 5.2.14.7 Market Share
    • 5.2.15 General Vision Inc.
      • 5.2.15.1 Overview
      • 5.2.15.2 Top Products/Product Portfolio
      • 5.2.15.3 Top Competitors
      • 5.2.15.4 Target Customers
      • 5.2.15.5 Key Personnel
      • 5.2.15.6 Analyst View
      • 5.2.15.7 Market Share
    • 5.2.16 Others

6. Research Methodology