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製造業人工智能市場：趨勢、機遇和競爭分析 [2023-2028]
市場調查報告書
商品編碼
1272735

製造業人工智能市場：趨勢、機遇和競爭分析 [2023-2028]

Artificial Intelligence in Manufacturing Market: Trends, Opportunities and Competitive Analysis [2023-2028]
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3個工作天內

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簡介目錄

製造業人工智能的市場趨勢和預測

到 2028 年，全球製造業人工智能市場預計將達到 22 億美元，2023 年至 2028 年復合年增長率為 26.3%。 該市場的主要驅動力是工業 4.0 的出現以及製造業對自動化和物聯網技術日益增長的需求。 製造業人工智能市場的未來前景廣闊，半導體和電子、能源和電力、製藥、醫療器械、汽車、重金屬和機械製造、快速消費品、航空航天等終端用戶行業充滿機遇。防禦..

製造業人工智能公司名單

市場上的公司根據其提供的產品質量進行競爭。 該市場的主要參與者專注於擴大製造設施、研發投資、基礎設施開發以及利用整個價值鏈的整合機會。 這些戰略使製造業的人工智能公司能夠滿足不斷增長的需求，確保競爭有效性，開發創新產品和技術，降低生產成本並擴大客戶群。

製造業人工智能的市場洞察

  • Lucintel 預測，隨著由機器學習、基於雲的技術和學習分析提供支持的助手在各個工業領域獲得認可，軟件將在預測期內實現最高增長。
  • 由於人工智能在醫療設備中的廣泛集成，以及越來越多地使用計算和機器學習技術來提高準確性和避免故障，預計醫療設備在預測期內將出現最高增長。
  • 由於主要製造設備的存在、政府採用最新技術的激勵措施以及該地區數字化趨勢的不斷增強，預計亞太地區將出現最高的增長。

本報告回答了 11 個關鍵問題：

  • Q.1. 您的細分市場中最有前途和高增長的機會是什麼？
  • 問題 2. 您認為哪些領域會以更快的速度增長？為什麼？
  • 問題 3. 您認為哪些地區的增長速度會更快？為什麼？
  • Q.4. 影響市場動態的關鍵因素有哪些？ 這個市場的主要挑戰和商業風險是什麼？
  • Q.5. 該市場存在哪些業務風險和競爭威脅？
  • Q.6. 這個市場有哪些新趨勢？為什麼？
  • Q.7. 該市場的客戶需求有何變化？
  • Q.8. 市場有哪些新發展？ 哪些公司正在引領這些發展？
  • Q.9. 誰是這個市場的主要參與者？ 主要參與者採取哪些戰略舉措來發展業務？
  • 問題 10. 該市場中的競爭產品有哪些？因材料或產品替代而失去市場份額的威脅是什麼？
  • 問題 11. 過去五年發生了哪些併購？產生了哪些影響？

內容

第 1 章執行摘要

第 2 章全球製造業人工智能市場：市場動態

  • 簡介、背景、分類
  • 供應鏈
  • 行業驅動因素和挑戰

第三章2017-2028年市場趨勢及預測分析

  • 宏觀經濟趨勢（2017-2022 年）和預測（2023-2028 年）
  • 製造業人工智能的全球市場趨勢（2017-2022）和預測（2023-2028）
  • 全球製造業人工智能市場：按組成部分
    • 硬件
      • 處理器
      • 網絡
      • 內存
    • 軟件
      • 人工智能平台
      • 人工智能解決方案
    • 服務
      • 簡介/集成
      • 支持與維護
  • 按技術劃分的全球製造業人工智能市場
    • 機器學習
    • 自然語言處理
    • 上下文感知計算
    • 計算機視覺
    • 語音/語音識別
  • 全球製造業人工智能市場（按應用）
    • 現場服務
    • 質量控制
    • 網絡安全
    • 機器人與工廠自動化
    • 預測性維護和機器檢查
    • 物料搬運
    • 生產計劃
    • 安全計劃
    • 能源管理
    • 供應鏈優化
  • 全球製造業人工智能市場（按最終用途行業）
    • 半導體/電子產品
    • 能源/電力
    • 醫藥
    • 醫療設備
    • 汽車
    • 重金屬及機械製造
    • 消費品
    • 航空航天與國防
    • 其他

第四章2017-2028年區域市場趨勢及預測分析

  • 全球製造業人工智能市場（按地區）
  • 北美製造業的人工智能市場
  • 歐洲製造業的人工智能市場
  • 亞太製造業的人工智能市場
  • 世界其他地區製造業的人工智能市場

第五章競爭分析

  • 產品組合分析
  • 業務整合
  • 波特五力分析

第 6 章增長機會和戰略分析

  • 增長機會分析
    • 製造業人工智能的全球市場增長機會：按組成部分
    • 製造業人工智能的全球市場增長機會：按技術分類
    • 製造業人工智能的全球市場增長機會：按應用分類
    • 按最終用途行業劃分的製造業人工智能的全球市場增長機會
    • 按地區劃分的製造業人工智能全球市場增長機會
  • 全球製造業人工智能市場的新興趨勢
  • 戰略分析
    • 新產品開發
    • 製造業人工智能的全球市場容量擴張
    • 全球製造業人工智能市場的併購和合資企業
    • 身份驗證和許可

第 7 章主要公司簡介

  • Alphabet
  • IBM
  • Intel
  • Microsoft
  • Nvidia
簡介目錄

Artificial Intelligence in Manufacturing Market Trends and Forecast

The future of the artificial intelligence in manufacturing market looks promising with opportunities in the semiconductor & electronic, energy & power, pharmaceutical, medical device, automotive, heavy metal & machine manufacturing, fast-moving consumer good, and aerospace & defense end user industries. The global artificial intelligence in manufacturing market is expected to reach an estimated $2.2 billion by 2028 with a CAGR of 26.3% from 2023 to 2028. The major drivers for this market are emergence of industry 4.0 and the growing demand for automated and IoT based technologies among manufacturing sectors..

A more than 150-page report is developed to help in your business decisions.

Artificial Intelligence in Manufacturing Market by Segment

The study includes a forecast for the global artificial intelligence in manufacturing market by component, technology, application, end use industry, and region, as follows.

Artificial Intelligence in Manufacturing Market by Component [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Hardware
    • Processors
    • Networking
    • Memory
  • Software
    • AI Platforms
    • AI Solutions
  • Services
    • Deployment & Integration
    • Support & Maintenance

Artificial Intelligence in Manufacturing Market by Technology [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Context-Aware Computing
  • Computer Vision
  • Speech and Voice Recognition

Artificial Intelligence in Manufacturing Market by Application [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Field Services
  • Quality Management
  • Cybersecurity
  • Robotics & Factory Automation
  • Predictive Maintenance & Machinery Inspection
  • Material Handling
  • Production Planning
  • Safety Planning
  • Energy management
  • Supply Chain Optimization

Artificial Intelligence in Manufacturing Market by End Use Industry [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Semiconductor & Electronics
  • Energy & Power
  • Pharmaceuticals
  • Medical Devices
  • Automotive
  • Heavy Metals & Machine Manufacturing
  • Fast-Moving Consumer Goods
  • Aerospace and Defense
  • Others

Artificial Intelligence in Manufacturing Market by Region [Value ($B) Shipment Analysis from 2017 to 2028]:

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

List of Artificial Intelligence in Manufacturing Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies artificial intelligence in manufacturing companies cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the artificial intelligence in manufacturing companies profiled in this report include.

  • Alphabet
  • IBM
  • Intel
  • Microsoft
  • Nvidia

Artificial Intelligence in Manufacturing Market Insights

  • Lucintel forecasts that software is expected to witness highest growth over the forecast period due to the growing acceptance of assistants powered by machine learning, cloud based technologies, and learning analytics among different industrial units.
  • Medical devices is expected to witness the highest growth over forecast period due to extensive integration of AI in medical gadgets and increasing usage of computation and machine learning technologies for accuracy and avoidance of any failure.
  • APAC is expected to witness highest growth due to the existence of key manufacturing units, encouraging initiatives by government to adopt modern technologies, and growing trend of digitalization in the region.

Features of the Artificial Intelligence in Manufacturing Market

  • Market Size Estimates: Artificial intelligence in manufacturing market size estimation in terms of value ($B)
  • Trend And Forecast Analysis: Market trends (2017-2022) and forecast (2023-2028) by various segments and regions.
  • Segmentation Analysis: Artificial intelligence in manufacturing market size by various segments, such as by component, technology, application, end use industry, and region
  • Regional Analysis: Artificial intelligence in manufacturing market breakdown by North America, Europe, Asia Pacific, and the Rest of the World.
  • Growth Opportunities: Analysis on growth opportunities in different by component, technology, application, end use industry, and regions for the artificial intelligence in manufacturing market.
  • Strategic Analysis: This includes M&A, new product development, and competitive landscape for the artificial intelligence in manufacturing market.
  • Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q1. What is the artificial intelligence in manufacturing market size?

Answer: The global artificial intelligence in manufacturing market is expected to reach an estimated $2.2 billion by 2028.

Q2. What is the growth forecast for artificial intelligence in manufacturing market?

Answer: The global artificial intelligence in manufacturing market is expected to grow with a CAGR of 26.3% from 2023 to 2028.

Q3. What are the major drivers influencing the growth of the artificial intelligence in manufacturing market?

Answer: The major drivers for this market are emergence of industry 4.0 and growing demand for automated and IoT based technologies among manufacturing sector.

Q4. What are the major segments for artificial intelligence in manufacturing market?

Answer: The future of the artificial intelligence in manufacturing market looks promising with opportunities in the semiconductor & electronic, energy & power, pharmaceutical, medical device, automotive, heavy metal & machine manufacturing, fast-moving consumer good, and aerospace & defense end user industries.

Q4. Who are the key artificial intelligence in manufacturing companies?

Answer: Some of the key artificial intelligence in manufacturing companies are as follows:

  • Alphabet
  • IBM
  • Intel
  • Microsoft
  • Nvidia

Q6. Which artificial intelligence in manufacturing segment will be the largest in future?

Answer: Lucintel forecasts that software is expected to witness highest growth over the forecast period due to the growing acceptance of assistants powered by machine learning, cloud based technologies, and learning analytics among different industrial units.

Q7. In artificial intelligence in manufacturing market, which region is expected to be the largest in next 5 years?

Answer: APAC is expected to witness highest growth due to the existence of key manufacturing units, encouraging initiatives by government to adopt modern technologies, and growing trend of digitalization in the region.

Q8. Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% Customization Without any Additional Cost.

This report answers following 11 key questions

  • Q.1. What are some of the most promising, high-growth opportunities for the artificial intelligence in manufacturing market by component (hardware, software, and services), technology (machine learning, natural language processing, context-aware computing, computer vision, and speech & voice recognition), application (field services, quality management, cybersecurity, robotics & factory automation, predictive maintenance & machinery inspection, material handling, production planning, safety planning, energy management, and supply chain optimization), end use industry (semiconductor & electronics, energy & power, pharmaceuticals, medical devices, automotive, heavy metals & machine manufacturing, fast-moving consumer goods, aerospace & defense, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.1 0. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.1 1. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Artificial Intelligence in Manufacturing Market: Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2017 to 2028

  • 3.1: Macroeconomic Trends (2017-2022) and Forecast (2023-2028)
  • 3.2: Global Artificial Intelligence in Manufacturing Market Trends (2017-2022) and Forecast (2023-2028)
  • 3.3: Global Artificial Intelligence in Manufacturing Market by Component
    • 3.3.1: Hardware
      • 3.3.1.1: Processors
      • 3.3.1.2: Networking
      • 3.3.1.3: Memory
    • 3.3.2: Software
      • 3.3.2.1: AI Platforms
      • 3.3.2.2: AI Solutions
    • 3.3.3: Services
      • 3.3.3.1: Deployment & Integration
      • 3.3.3.2: Support & Maintenance
  • 3.4: Global Artificial Intelligence in Manufacturing Market by Technology
    • 3.4.1: Machine Learning
    • 3.4.2: Natural Language Processing
    • 3.4.3: Context-Aware Computing
    • 3.4.4: Computer Vision
    • 3.4.5: Speech & Voice Recognition
  • 3.5: Global Artificial Intelligence in Manufacturing Market by Application
    • 3.5.1: Field Services
    • 3.5.2: Quality Management
    • 3.5.3: Cybersecurity
    • 3.5.4: Robotics & Factory Automation
    • 3.5.5: Predictive Maintenance & Machinery Inspection
    • 3.5.6: Material Handling
    • 3.5.7: Production Planning
    • 3.5.8: Safety Planning
    • 3.5.9: Energy Management
    • 3.5.10: Supply Chain Optimization
  • 3.6: Global Artificial Intelligence in Manufacturing Market by End Use Industry
    • 3.6.1: Semiconductor & Electronics
    • 3.6.2: Energy & Power
    • 3.6.3: Pharmaceuticals
    • 3.6.4: Medical Devices
    • 3.6.5: Automotive
    • 3.6.6: Heavy Metals & Machine Manufacturing
    • 3.6.7: Fast-Moving Consumer Goods
    • 3.6.8: Aerospace & Defense
    • 3.6.9: Others

4. Market Trends and Forecast Analysis by Region from 2017 to 2028

  • 4.1: Global Artificial Intelligence in Manufacturing Market by Region
  • 4.2: North American Artificial Intelligence in Manufacturing Market
    • 4.2.1: North American Artificial Intelligence in Manufacturing Market by Component: Hardware, Software, and Services
    • 4.2.2: North American Artificial Intelligence in Manufacturing Market by End Use Industry: Semiconductor & Electronics, Energy & Power, Pharmaceuticals, Medical Devices, Automotive, Heavy Metals & Machine Manufacturing, Fast-Moving Consumer Goods, Aerospace & Defense, and Others
  • 4.3: European Artificial Intelligence in Manufacturing Market
    • 4.3.1: European Artificial Intelligence in Manufacturing Market by Component: Hardware, Software, and Services
    • 4.3.2: European Artificial Intelligence in Manufacturing Market by End Use Industry: Semiconductor & Electronics, Energy & Power, Pharmaceuticals, Medical Devices, Automotive, Heavy Metals & Machine Manufacturing, Fast-Moving Consumer Goods, Aerospace & Defense, and Others
  • 4.4: APAC Artificial Intelligence in Manufacturing Market
    • 4.4.1: APAC Artificial Intelligence in Manufacturing Market by Component: Hardware, Software, and Services
    • 4.4.2: APAC Artificial Intelligence in Manufacturing Market by End Use Industry: Semiconductor & Electronics, Energy & Power, Pharmaceuticals, Medical Devices, Automotive, Heavy Metals & Machine Manufacturing, Fast-Moving Consumer Goods, Aerospace & Defense, and Others
  • 4.5: ROW Artificial Intelligence in Manufacturing Market
    • 4.5.1: ROW Artificial Intelligence in Manufacturing Market by Component: Hardware, Software, and Services
    • 4.5.2: ROW Artificial Intelligence in Manufacturing Market by End Use Industry: Semiconductor & Electronics, Energy & Power, Pharmaceuticals, Medical Devices, Automotive, Heavy Metals & Machine Manufacturing, Fast-Moving Consumer Goods, Aerospace & Defense, and Others

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for the Global Artificial Intelligence in Manufacturing Market by Component
    • 6.1.2: Growth Opportunities for the Global Artificial Intelligence in Manufacturing Market by Technology
    • 6.1.3: Growth Opportunities for the Global Artificial Intelligence in Manufacturing Market by Application
    • 6.1.4: Growth Opportunities for the Global Artificial Intelligence in Manufacturing Market by End Use Industry
    • 6.1.5: Growth Opportunities for the Global Artificial Intelligence in Manufacturing Market by Region
  • 6.2: Emerging Trends in the Global Artificial Intelligence in Manufacturing Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global Artificial Intelligence in Manufacturing Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Artificial Intelligence in Manufacturing Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: Alphabet
  • 7.2: IBM
  • 7.3: Intel
  • 7.4: Microsoft

7:5: Nvidia