세계의 제조업용 AI 시장 : 유형, 기술, 전개, 조직 규모, 적용 분야별 예측(-2032년)

Global AI in Manufacturing Market Research Report Information By Type (Hardware, Software, Services) By Technology (Machine Learning (ML), Computer Vision, Natural Language Processing (NLP), Context-Aware Computing, Machine Reasoning, Deep Learning) By Deployment (On-Cloud and On-Premise) By Organization Size (SMEs and Large Enterprises) By Application Area (Predictive Maintenance and Machinery Inspection, Quality Control and Inspection, Production Planning and Management, Inventory Management Forecast Till 2032

Overview of the Market

In 2023, the manufacturing AI market was estimated to be worth USD 3,544.6 million. With a compound annual growth rate (CAGR) of 29.7% from 2024 to 2032, the AI in Manufacturing market industry is expected to increase from USD 4,384.1 million in 2024 to USD 28,343.6 million by 2032.

The term "AI in Manufacturing" describes how artificial intelligence technologies are incorporated into production procedures to improve output, effectiveness, and quality. To automate processes, forecast maintenance requirements, streamline supply chains, guarantee quality control, and enhance decision-making, machine learning, computer vision, robots, and data analytics are used. Manufacturers may cut expenses, limit downtime, and establish more adaptable and responsive production environments by utilizing AI.

Perspectives on Market Segments

The AI in Manufacturing market is divided into three segments based on type: hardware, software, and services.

Machine Learning (ML), Computer Vision, Natural Language Processing (NLP), Context-Aware Computing, Machine Reasoning, and Deep Learning are the technological segments that make up the market.

The market has been divided into two segments based on deployment: on-premises and on-cloud.

The AI in Manufacturing market is divided into two segments based on the size of the organization: SMEs and large enterprises.

The market for AI in manufacturing has been divided into several segments based on the end-use industry, including automotive, electronics and semiconductors, pharmaceuticals and chemicals, food and beverages, heavy metals and machinery, energy and utilities, textiles and apparel, aerospace and defense, consumer goods, and others. The market has also been divided into application areas, such as predictive maintenance and machinery inspection, quality control and inspection, production planning and management, inventory management, predictive analytics, robotics and automation, energy management, supply chain optimization, and others.

Regional Perspectives

With a 31.2% market share in 2023, Asia-Pacific leads the region in the AI in Manufacturing market. The market was valued at USD 1,327.0 million in 2023 and is expected to rise at a compound annual growth rate (CAGR) of 31.2% to reach USD 11,639.5 million in 2032.

In 2023, North America held a sizable portion of the market. Predictive maintenance and intelligent automation are made possible by the integration of artificial intelligence into precision manufacturing in the United States. In addition to making the nation more competitive in the global manufacturing market, this technology is also propelling significant advancements in the sector.

France, Germany, Italy, the United Kingdom, Russia, and the rest of Europe make up the subsegments of the European AI in Manufacturing market. Because of the government's expanded commitment to build smart factories throughout Europe, the European market is expected to rise steadily throughout the projection period.

The manufacturing sectors in the Middle East and Africa have been expanding significantly. Countries in the Middle East and Africa, including Saudi Arabia, Egypt, and the United Arab Emirates, have been making significant economic investments. This is one of the main elements supporting the region's manufacturing industry.

Additionally, businesses in the Middle East and Africa increase productivity, efficiency, cost savings, and product quality by implementing technology in the manufacturing sector, making them competitive on the global market.

Key Players

NVIDIA, Intel, Siemens, IBM, GE, Microsoft Corporation, Robert Bosch, Amazon Web Services, Cisco Systems Inc., and Rockwell Automation are the market leaders for artificial intelligence in manufacturing.

TABLE OF CONTENTS

1 EXECUTIVE SUMMARY

2 MARKET INTRODUCTION

• 2.1 DEFINITION
• 2.2 SCOPE OF THE STUDY
• 2.3 RESEARCH OBJECTIVE
• 2.4 MARKET STRUCTURE

3 RESEARCH METHODOLOGY

• 3.1 OVERVIEW
• 3.2 DATA FLOW
  • 3.2.1 DATA MINING PROCESS
• 3.3 PURCHASED DATABASE:
• 3.4 SECONDARY SOURCES:
  • 3.4.1 SECONDARY RESEARCH DATA FLOW:
• 3.5 PRIMARY RESEARCH:
  • 3.5.1 PRIMARY RESEARCH DATA FLOW:
  • 3.5.2 PRIMARY RESEARCH: NUMBER OF INTERVIEWS CONDUCTED
• 3.6 APPROACHES FOR MARKET SIZE ESTIMATION:
  • 3.6.1 CONSUMPTION & NET TRADE APPROACH
  • 3.6.2 REVENUE ANALYSIS APPROACH
• 3.7 DATA FORECASTING
  • 3.7.1 DATA FORECASTING TYPE
• 3.8 DATA MODELING
  • 3.8.1 MICROECONOMIC FACTOR ANALYSIS:
  • 3.8.2 DATA MODELING:

4 MARKET DYNAMICS

• 4.1 INTRODUCTION
• 4.2 MARKET TRENDS AND GROWTH AFFECTING FACTORS
  • 4.2.1 USING AI/ML/DEEP LEARNING TO BOOST PREDICTION PRECISION
  • 4.2.2 ARTIFICIAL INTELLIGENCE IS BEING USED TO AUTOMATE MANUFACTURING PROCESSES
  • 4.2.3 GROWTH AFFECTING FACTORS
• 4.3 GROWTH PARAMETERS MAPPED - DRIVERS
  • 4.3.1 THE INCREASING ADOPTION OF AI TECHNOLOGIES IN MANUFACTURING
  • 4.3.2 THE ADVANCEMENT OF AI ALGORITHMS
  • 4.3.3 ENHANCING PRODUCT QUALITY
• 4.4 GROWTH INHIBITORS MAPPED - RESTRAINTS
  • 4.4.1 THE HIGH COST OF AI TECHNOLOGY
  • 4.4.2 THE LACK OF DATA
• 4.5 OPPORTUNITY
  • 4.5.1 DEVELOPING NEW AI-POWERED PRODUCTS AND SERVICES
  • 4.5.2 IMPROVING THE EFFICIENCY AND PRODUCTIVITY OF MANUFACTURING PROCESSES
  • 4.5.3 CREATING NEW BUSINESS MODELS BASED ON AI
• 4.6 COVID-19 IMPACT ANALYSIS
  • 4.6.1 IMPACT ON OVERALL ICT
  • 4.6.2 IMPACT ON AI IN MANUFACTURING MARKET
  • 4.6.3 IMPACT ON DEMAND OF AI IN MANUFACTURING MARKET
  • 4.6.4 IMPACT ON PRICING OF AI IN MANUFACTURING MARKET

5 MARKET FACTOR ANALYSIS

• 5.1 VALUE CHAIN ANALYSIS
  • 5.1.1 HARDWARE/SOFTWARE PROVIDER
  • 5.1.2 AI IN MANUFACTURING PROVIDERS
  • 5.1.3 SELECT THE RIGHT VENDOR OR TOOL
  • 5.1.4 END USERS
• 5.2 PORTER'S FIVE FORCES MODEL
  • 5.2.1 THREAT OF NEW ENTRANTS
  • 5.2.2 BARGAINING POWER OF SUPPLIERS
  • 5.2.3 THREAT OF SUBSTITUTES
  • 5.2.4 BARGAINING POWER OF BUYERS
  • 5.2.5 INTENSITY OF RIVALRY

6 GLOBAL AI IN MANUFACTURING, BY COMPONENT

• 6.1 OVERVIEW
• 6.2 HARDWARE
• 6.3 SOFTWARE
• 6.4 SERVICES

7 GLOBAL AI IN MANUFACTURING, BY TECHNOLOGY

• 7.1 INTRODUCTION
• 7.2 MACHINE LEARNING (ML)
• 7.3 COMPUTER VISION
• 7.4 NATURAL LANGUAGE PROCESSING (NLP)
• 7.5 CONTEXT AWARE COMPUTING
• 7.6 MACHINE REASONING
• 7.7 DEEP LEARNING

8 GLOBAL AI IN MANUFACTURING, BY DEPLOYMENT TYPE

• 8.1 OVERVIEW
• 8.2 ON PREMISES
• 8.3 CLOUD BASED

9 GLOBAL AI IN MANUFACTURING, BY ORGANIZATION SIZE

• 9.1 OVERVIEW
• 9.2 SMES
• 9.3 LARGE ENTERPRISES

10 GLOBAL AI IN MANUFACTURING, APPLICATION AREA

• 10.1 OVERVIEW
• 10.2 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION
• 10.3 QUALITY CONTROL AND INSPECTION
• 10.4 PRODUCTION PLANNING AND MANAGEMENT
• 10.5 INVENTORY MANAGEMENT
• 10.6 PREDICTIVE ANALYTICS
• 10.7 ROBOTICS AND AUTOMATION
• 10.8 ENERGY MANAGEMENT
• 10.9 SUPPLY CHAIN OPTIMIZATION

11 GLOBAL AI IN MANUFACTURING, BY END USE INDUSTRY

• 11.1 OVERVIEW
• 11.2 AUTOMOTIVE
• 11.3 ELECTRONICS AND SEMICONDUCTORS
• 11.4 PHARMACEUTICALS AND CHEMICALS
• 11.5 FOOD AND BEVERAGES
• 11.6 HEAVY METALS AND MACHINERY
• 11.7 ENERGY AND UTILITIES
• 11.8 TEXTILES AND APPAREL
• 11.9 AEROSPACE AND DEFENSE
• 11.10 CONSUMER GOODS
• 11.11 OTHERS

12 GLOBAL AI IN MANUFACTURING, BY REGION

• 12.1 OVERVIEW
• 12.2 NORTH AMERICA
  • 12.2.1 US
  • 12.2.2 CANADA
  • 12.2.3 MEXICO
• 12.3 EUROPE
  • 12.3.1 GERMANY
  • 12.3.2 ITALY
  • 12.3.3 FRANCE
  • 12.3.4 SPAIN
  • 12.3.5 UK
  • 12.3.6 REST OF EUROPE
• 12.4 ASIA-PACIFIC
  • 12.4.1 CHINA
  • 12.4.2 JAPAN
  • 12.4.3 INDIA
  • 12.4.4 SOUTH KOREA
  • 12.4.5 REST OF ASIA PACIFIC
• 12.5 MIDDLE EAST & AFRICA
  • 12.5.1 GCC COUNTRIES
  • 12.5.2 SOUTH AFRICA
  • 12.5.3 REST OF MEA
• 12.6 SOUTH AMERICA
  • 12.6.1 BRAZIL
  • 12.6.2 ARGENTINA
  • 12.6.3 REST OF SOUTH AMERICA

13 COMPETITIVE LANDSCAPE

• 13.1 INTRODUCTION
• 13.2 COMPANY MARKET SHARE ANALYSIS, 2023 (% SHARE)
• 13.3 COMPETITIVE BENCHMARKING
• 13.4 PUBLIC PLAYERS STOCK SUMMARY
• 13.5 COMPARATIVE ANALYSIS: KEY PLAYERS FINANICAL
• 13.6 KEY DEVELOPMENTS & GROWTH STRATEGIES
  • 13.6.1 NEW PRODUCT DEVELOPMENT
  • 13.6.2 MERGER AND ACQUISTION
  • 13.6.3 PARTNERSHIPS/ COLLABORATION/OTHERS

14 COMPANY PROFILES

• 14.1 NVIDIA CORPORATION
  • 14.1.1 COMPANY OVERVIEW
  • 14.1.2 FINANCIAL OVERVIEW
  • 14.1.3 PRODUCTS OFFERED
  • 14.1.4 KEY DEVELOPMENTS
  • 14.1.5 SWOT ANALYSIS
  • 14.1.6 KEY STRATEGIES
• 14.2 IBM CORPORATION
  • 14.2.1 COMPANY OVERVIEW
  • 14.2.2 FINANCIAL OVERVIEW
  • 14.2.3 PRODUCTS OFFERED
  • 14.2.4 KEY DEVELOPMENTS
  • 14.2.5 SWOT ANALYSIS
  • 14.2.6 KEY STRATEGIES
• 14.3 SIEMENS
  • 14.3.1 COMPANY OVERVIEW
  • 14.3.2 FINANCIAL OVERVIEW
  • 14.3.3 PRODUCTS OFFERED
  • 14.3.4 KEY DEVELOPMENTS
  • 14.3.5 SWOT ANALYSIS
  • 14.3.6 KEY STRATEGIES
• 14.4 GENERAL ELECTRIC
  • 14.4.1 COMPANY OVERVIEW
  • 14.4.2 FINANCIAL OVERVIEW
  • 14.4.3 PRODUCTS OFFERED
  • 14.4.4 KEY DEVELOPMENTS
  • 14.4.5 SWOT ANALYSIS
  • 14.4.6 KEY STRATEGIES
• 14.5 INTEL
  • 14.5.1 COMPANY OVERVIEW
  • 14.5.2 FINANCIAL OVERVIEW
  • 14.5.3 PRODUCTS OFFERED
  • 14.5.4 KEY DEVELOPMENTS
  • 14.5.5 SWOT ANALYSIS
  • 14.5.6 KEY STRATEGIES
• 14.6 MICROSOFT CORPORATION
  • 14.6.1 COMPANY OVERVIEW
  • 14.6.2 FINANCIAL OVERVIEW
  • 14.6.3 PRODUCTS OFFERED
  • 14.6.4 KEY DEVELOPMENTS
  • 14.6.5 SWOT ANALYSIS
  • 14.6.6 KEY STRATEGIES
• 14.7 ROBERT BOSCH
  • 14.7.1 COMPANY OVERVIEW
  • 14.7.2 FINANCIAL OVERVIEW
  • 14.7.3 PRODUCTS OFFERED
  • 14.7.4 KEY DEVELOPMENTS
  • 14.7.5 SWOT ANALYSIS
  • 14.7.6 KEY STRATEGIES
• 14.8 AMAZON WEB SERVICES (AMAZON INC.)
  • 14.8.1 COMPANY OVERVIEW
  • 14.8.2 FINANCIAL OVERVIEW
  • 14.8.3 PRODUCTS OFFERED
  • 14.8.4 KEY DEVELOPMENTS
  • 14.8.5 SWOT ANALYSIS
  • 14.8.6 KEY STRATEGIES
• 14.9 CISCO SYSTEMS, INC.
  • 14.9.1 COMPANY OVERVIEW
  • 14.9.2 FINANCIAL OVERVIEW
  • 14.9.3 PRODUCTS OFFERED
  • 14.9.4 KEY DEVELOPMENTS
  • 14.9.5 SWOT ANALYSIS
  • 14.9.6 KEY STRATEGIES
• 14.10 ROCKWELL AUTOMATION
  • 14.10.1 COMPANY OVERVIEW
  • 14.10.2 FINANCIAL OVERVIEW
  • 14.10.3 PRODUCTS OFFERED
  • 14.10.4 KEY DEVELOPMENTS
  • 14.10.5 SWOT ANALYSIS
  • 14.10.6 KEY STRATEGIES