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市場調查報告書
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1574150

製造業人工智慧市場 - 2024 年至 2029 年預測

Artificial Intelligence In Manufacturing Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 110 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

製造業人工智慧市場預計將以 44.68% 的複合年成長率擴張，從 2024 年的 119.42 億美元增加到 2029 年的 757.04 億美元。

全球製造業競爭日益激烈，人工智慧（AI）正在站穩腳步。該領域的競爭力量迫使產業參與者投入高額研發投資，並將新技術融入所有主要業務功能。機器視覺相機在檢查、物料移動和現場服務等製造應用中的持續普及，將在推動製造業中人工智慧的崛起中發揮關鍵作用。

此外，製造業利用人工智慧的另一種創新方式是品管，其中人工智慧驅動的視覺檢測系統可以輕鬆發現人眼難以看到的缺陷。這可以讓您降低成本並保護您的品牌形象。此外，預測設備故障和維護需求的預測分析也受益於人工智慧。人工智慧在製造業的應用，例如最佳化能源使用、最大限度地減少廢棄物以及遵守永續性準則，導致各行業對人工智慧的需求增加。

製造業人工智慧市場促進因素

  • 最終用戶產業對降低成本的日益關注預計將推動製造業對人工智慧的需求。

該市場的成長是由大多數製造業子部門迅速採用人工智慧以及市場參與者在研發方面的積極支出來推出新穎、有競爭力和創新的產品所推動的。現在，在奇點過後很久，公司就在製造設備和機械領域的人工智慧創新上投入了大量資金。結果，錯誤更少、反應時間更快、分配任務的準確性以及生產的系統性和永續最佳化得到了促進。

此外，人工智慧也因其與工業4.0的目標一致而在該領域獲得認可。人工智慧在許多業務功能中的應用正在增加。此外，工業4.0在確保工廠資產安全的同時提高了產量並提高了工人的安全，使製造商能夠以更低的成本和更短的前置作業時間生產個人化產品。所有這些都可能會增加未來幾年製造業對人工智慧的需求。

人工智慧在製造業市場的地域展望：

  • 預計亞太地區將佔據製造業市場人工智慧的主要佔有率。

由於該地區的公司積極採用新技術，預計亞太市場在預測期內將穩定成長。許多製造商正在使用自動化技術來增強其製造流程並擴大市場。該地區的成長在很大程度上得益於該地區資源豐富的行業參與者的大量投資。

此外，該地區充滿活力的製造市場中的公司，尤其是中國和印度等存在大規模製造機會的國家，正在尋求透過採用基於人工智慧的新時代技術來優先考慮其生產線。此外，關於製造商必須滿足的環境條件的政府法規日益嚴格，將鼓勵公司採用永續形式的製成品，從而導致未來幾年區域市場的成長。

為什麼要購買這份報告？

  • 精闢的分析：
  • 。競爭格局：獲得涵蓋主要和新興地區的深入市場洞察，重點關注客戶群、政府政策、社會經濟因素、消費者偏好、產業和其他子區隔：
  • 市場促進因素與未來趨勢：
  • 可行的建議：
  • 迎合廣泛的受眾：對於新興企業、研究機構、顧問、中小型企業和大型企業來說有用且具有成本效益。

公司使用我們的報告的目的是什麼？

產業與市場考量、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開拓、競爭影響

調查範圍

  • 2022年至2029年歷史資料與預測
  • 成長機會、挑戰、供應鏈前景、法規結構、客戶行為和趨勢分析
  • 競爭定位、策略和市場佔有率分析
  • 區域收益成長和預測分析，包括細分市場和國家
  • 公司概況（尤其是關鍵市場開拓）

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章 全球製造業人工智慧市場：依提供

  • 介紹
  • 硬體
  • 軟體
  • 服務

第6章 全球製造業人工智慧市場：依技術分類

  • 介紹
  • 自然語言處理
  • 機器學習
  • 深度學習
  • 影像識別
  • 其他

第7章 全球製造業的人工智慧市場：依最終用戶分類

  • 介紹
  • 車
  • 家電
  • 衛生保健
  • 食品/飲料
  • 其他

第8章 全球製造業人工智慧市場：按地區

  • 介紹
  • 北美洲
    • 按報價
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 南美洲
    • 按報價
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 歐洲
    • 按報價
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 中東/非洲
    • 按報價
    • 依技術
    • 按最終用戶
    • 按國家/地區
  • 亞太地區
    • 按報價
    • 依技術
    • 按最終用戶
    • 按國家/地區

第9章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第10章 公司簡介

  • Hewlett Packard Enterprise
  • ABB
  • Emerson Electric Co.
  • Schneider Electric
  • Tripp Lite（Eaton）
  • Rittal GmbH & Co. KG
  • Raritan Inc.
  • Delta Electronics, Inc.
  • General Electric Company
簡介目錄
Product Code: KSI061612925

The Artificial Intelligence In Manufacturing Market is projected to expand at a growth rate of 44.68% CAGR to account for US$75.704 billion by 2029, up from US$11.942 billion in 2024.

The global manufacturing sector is becoming hyper-competitive, and artificial intelligence (AI) is establishing a strong foothold in the industry. This competitiveness in the sector is compelling industry players to indulge in high R&D investments and incorporate new technologies across all key business functions that will propel AI deployment in the manufacturing sector in the coming years. The continued popularity of machine vision cameras in manufacturing applications such as inspection, material movement, and field service will play a key role in propelling the rise of AI in the manufacturing industry.

Additionally, another innovative way manufacturing is using AI is in quality control, in which an AI-driven visual inspection system easily spots defects that are far harder for the human eye. This reduces costs and protects the brand image. Additionally, predictive analytics and maintenance requirements are also benefiting from AI as it predicts equipment failures. AI applications in manufacturing, such as optimizing energy use, minimizing waste, and fulfilling sustainability guidelines, lead to higher demand for AI across different sectors.

ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET DRIVERS:

  • The increasing focus of end-user industries on reducing costs is anticipated to boost the demand for AI in manufacturing.

The rapid adoption of AI in most of its sub-sectors in the manufacturing industry and robust expenditure by the market players on research & development to launch novel, competitive, and innovative products are factors driving this market's growth. A long time out from singularity, companies are now spending a lot of money on AI innovations in manufacturing-related facilities and machinery. As a result, it facilitated fewer errors, shorter reaction times, accuracy in assigned tasks, and optimization of production systematically and sustainably.

Additionally, AI is gaining recognition in this sector, as it aligns with the goals of Industry 4.0. The application of AI has increased across many business functions. Further, Industry 4.0 has also increased production and enhanced worker safety while securing factory assets, resulting in manufacturers producing personalized products at reduced costs and shorter lead times. All this would add to the necessity for AI in manufacturing in the coming years.

Artificial Intelligence In Manufacturing Market Geographical Outlook:

  • The Asia Pacific region is expected to hold a substantial artificial intelligence in manufacturing market share.

The market in the Asia Pacific region has consistent growth potential during the forecast period due to the rampant adoption of newer technologies by companies in the region. Many manufacturers use automation technologies to enhance their manufacturing processes, expanding the market. The growth is largely backed by heavy investments poured into this region by the industry players due to their abundant resources.

Moreover, companies in this region's dynamic manufacturing market, notably in countries like China and India, where a large-scale manufacturing opportunity exists, are prioritizing and enhancing their production lines by adapting new-age technologies based on AI. Additionally, increasingly stringent government regulations regarding the environmental conditions to be met by manufacturers have driven companies to adopt sustainable forms of manufacturing products, leading to regional market growth in the coming years.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Market Segmentation:

The Global Artificial Intelligence In Manufacturing Market is segmented and analyzed as below:

By Offering

  • Hardware
  • Software
  • Services

By Technology

  • Natural language Processing
  • Machine Learning
  • Deep Learning
  • Image Recognition
  • Others

By End-User

  • Automotive
  • Consumer Electronics
  • Healthcare
  • Food & Beverage
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Spain
  • Italy
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • Israel
  • UAE
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Taiwan
  • Thailand
  • Indonesia
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET BY OFFERING

  • 5.1. Introduction
  • 5.2. Hardware
  • 5.3. Software
  • 5.4. Services

6. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET BY TECHNOLOGY

  • 6.1. Introduction
  • 6.2. Natural Language Processing
  • 6.3. Machine Learning
  • 6.4. Deep Learning
  • 6.5. Image Recognition
  • 6.6. Others

7. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET BY END-USER

  • 7.1. Introduction
  • 7.2. Automotive
  • 7.3. Consumer Electronics
  • 7.4. Healthcare
  • 7.5. Food & Beverage
  • 7.6. Others

8. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Offering
    • 8.2.2. By Technology
    • 8.2.3. By End-User
    • 8.2.4. By Country
      • 8.2.4.1. USA
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Offering
    • 8.3.2. By Technology
    • 8.3.3. By End-User
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Offering
    • 8.4.2. By Technology
    • 8.4.3. By End-User
    • 8.4.4. By Country
      • 8.4.4.1. Germany
      • 8.4.4.2. France
      • 8.4.4.3. United Kingdom
      • 8.4.4.4. Spain
      • 8.4.4.5. Italy
      • 8.4.4.6. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Offering
    • 8.5.2. By Technology
    • 8.5.3. By End-User
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. Israel
      • 8.5.4.3. UAE
      • 8.5.4.4. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Offering
    • 8.6.2. By Technology
    • 8.6.3. By End-User
    • 8.6.4. By Country
      • 8.6.4.1. China
      • 8.6.4.2. Japan
      • 8.6.4.3. India
      • 8.6.4.4. South Korea
      • 8.6.4.5. Taiwan
      • 8.6.4.6. Thailand
      • 8.6.4.7. Indonesia
      • 8.6.4.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Hewlett Packard Enterprise
  • 10.2. ABB
  • 10.3. Emerson Electric Co.
  • 10.4. Schneider Electric
  • 10.5. Tripp Lite (Eaton)
  • 10.6. Rittal GmbH & Co. KG
  • 10.7. Raritan Inc.
  • 10.8. Delta Electronics, Inc.
  • 10.9. General Electric Company