세계의 제조업용 인공지능 시장 : 제품별, 기술별, 용도별, 산업별, 지역별 - 예측(-2028년)

Artificial Intelligence in Manufacturing Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Natural Language Processing), Application (Predictive Maintenance & Machinery Inspection, Cybersecurity) - Global Forecast to 2028

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한글목차

제조업용 인공지능 시장 규모는 2023년 32억 달러에서 2028년 208억 달러로 2023년부터 2028년까지 45.6%의 CAGR을 기록할 것으로 예상됩니다.

이 시장의 성장은 점점 더 크고 복잡한 데이터 세트를 처리해야 하는 필요성이 증가하고, 산업용 IoT 및 자동화 기술의 부상으로 인한 것입니다.

머신러닝에는 딥러닝, 지도학습, 비지도학습, 강화학습 등 다양한 기술이 포함됩니다. 머신러닝은 시스템이 경험을 통해 자동으로 성능을 향상시킬 수 있도록 합니다. 머신러닝은 데이터에 접근하여 인간의 개입 없이 스스로 학습할 수 있는 컴퓨터 프로그램/알고리즘을 개발할 수 있도록 돕습니다. 머신러닝의 빅데이터 수집 및 처리 능력과 예측 분석, 기계 검사, 품질 관리, 사이버 보안에 대한 적용이 확대되면서 머신러닝 기술의 제조업 인공지능 시장 성장을 촉진할 것으로 예상됩니다.

AI 기반 품질 관리 시스템은 공장 운영자가 제조 공정 중 제품 특성의 편차를 식별할 수 있도록 지원합니다. 이러한 품질 관리는 레이저 기반 집계 스캔 시스템을 통해 3차원(3D) 및 2차원(2D) 데이터를 모두 수집하고 이 데이터를 디지털 이미지로 변환하는 데 의존합니다. 제조 공장 내 이러한 품질 관리 애플리케이션에 적용되는 핵심 기술은 기계 학습, 컴퓨터 비전 및 상황 인식 컴퓨팅을 포함합니다. 이 강력한 품질 관리 프레임워크는 공장 운영자가 제품 품질을 검증하는 데 도움을 주며, 제약, 식음료, 반도체 등 다양한 산업에서 광범위하게 적용되고 있습니다.

컴퓨터 시스템이 인간의 두뇌와 같은 지적 능력을 발휘하기 위해서는 매우 효과적이고 효율적인 하드웨어와 소프트웨어가 필요합니다. 다양한 산업에서 AI 솔루션과 플랫폼의 채택이 증가하고 있으며, 제조업에서 AI의 적용 범위가 확대되고 있는 것이 소프트웨어 분야의 제조업 인공지능 시장 성장을 촉진하는 주요 요인이 되고 있습니다.

아시아태평양은 중국, 일본, 한국 등 급성장하는 경제권으로 구성되어 있습니다. 중국은 아시아태평양의 중요한 제조 거점입니다. 중국은 아시아태평양 인공지능 개발의 중심지이며, 데이터 접근성과 정책적 지원에서 강점을 가지고 있습니다. 중국의 제조 부문은 빠르게 성장하고 있으며, 그 결과 새로운 로봇 공학 및 빅데이터 기술이 도입되고 있습니다. 이 모든 요인은 중국 내 수많은 제조 공장의 존재와 함께 제조 데이터의 양을 증가시킬 것으로 예상됩니다. 또한, 중국 정부는 제조업에 AI 기술 도입을 장려하기 위한 노력을 기울이고 있습니다.

이 보고서는 세계 제조업용 인공지능 시장을 조사하여 제품별, 기술별, 용도별, 산업별, 지역별 동향과 시장 진입 기업 개요 등을 정리한 보고서입니다.

목차

제1장 서론

제2장 조사 방법

제3장 주요 요약

제4장 주요 인사이트

제5장 시장 개요

• 서론
• 시장 역학
• 밸류체인 분석
• 생태계 매핑
• 고객의 비지니스에 영향을 미치는 동향/혼란
• Porter's Five Forces 분석
• 사례 연구 분석
• 기술 분석
• 가격 분석
• 무역 분석
• 특허 분석
• 주요 이해관계자와 구입 기준
• 2023-2025년 주요 회의와 이벤트
• 규제 상황

제6장 제조업용 인공지능 시장, 제공별

• 서론
• 하드웨어
• 소프트웨어
• 서비스

제7장 제조업용 인공지능 시장, 기술별

• 서론
• 머신러닝
• 자연언어처리
• 상황인식 컴퓨팅
• 컴퓨터 비전

제8장 제조업용 인공지능 시장, 용도별

• 서론
• 재고 최적화
• 예지보전과 기계 검사
• 생산계획
• 필드 서비스
• 매립
• 품질 관리
• 사이버 보안
• 산업용 로봇

제9장 제조업용 인공지능 시장, 업계별

• 서론
• 자동차
• 에너지와 전력
• 의약품
• 금속과 중기계
• 반도체와 일렉트로닉스
• 식품·음료
• 기타

제10장 제조업용 인공지능 시장, 지역별

• 서론
• 북미
• 유럽
• 아시아태평양
• 기타 지역

제11장 경쟁 상황

• 서론
• 주요 기업이 채용한 주요 전략
• 주요 5개사 매출 분석
• 시장 점유율 분석
• 기업 평가 매트릭스, 2022년
• 제조업용 인공지능 시장 : 기업 발자국
• 중소기업(SMES) 평가 매트릭스, 2022년
• 경쟁 벤치마킹
• 경쟁 상황과 동향

제12장 기업 개요

• 주요 진출 기업
  • NVIDIA CORPORATION
  • IBM(INTERNATIONAL BUSINESS MACHINES CORPORATION)
  • INTEL CORPORATION
  • SIEMENS
  • GENERAL ELECTRIC
  • GOOGLE LLC
  • MICROSOFT
  • MICRON TECHNOLOGY, INC.
  • AMAZON WEB SERVICES, INC.(AWS)
  • SIGHT MACHINE
• 기타 기업
  • PROGRESS SOFTWARE CORPORATION(DATARPM)
  • AIBRAIN INC.
  • GENERAL VISION INC.
  • ROCKWELL AUTOMATION
  • CISCO SYSTEMS, INC.
  • MITSUBISHI ELECTRIC CORPORATION
  • ORACLE
  • SAP
  • VICARIOUS
  • UBTECH ROBOTICS CORP LTD
  • AQUANT
  • BRIGHT MACHINES, INC.
  • RETHINK ROBOTICS GMBH
  • SPARKCOGNITION
  • FLUTURA

제13장 인접 시장

제14장 부록

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영문 목차

영문목차

The artificial intelligence in manufacturing market is expected to reach USD 20.8 billion by 2028 from USD 3.2 billion in 2023, at a CAGR of 45.6% from 2023-2028. The growth of this market is attributed to the Rising need to handle increasingly large and complex dataset and emerging industrial IoT and automation technologies.

"Machine learning technology segment to dominate the artificial intelligence in manufacrturing market in 2023"

Machine Learning includes various technologies, such as deep learning, supervised learning, unsupervised learning, and reinforcement learning. Machine learning enables systems to improve their performance automatically with experience. Machine Learning helps develop a computer program/algorithm that can access data and use it to train itself without human intervention. The ability of Machine Learning to collect and handle big data and its increasing applications in predictive analytics and machinery inspection, quality control, and cybersecurity are expected to drive the growth of the artificial intelligence in manufacturing market for Machine Learning technology.

"Quality control segment is projected to grow at a highest CAGR during the forecast period."

AI-driven quality control systems empower plant operators to identify deviations in product properties during the manufacturing process. These quality control applications depend on gathering both three-dimensional (3D) and two-dimensional (2D) data through laser-based aggregate scanning systems, which subsequently transform this data into digital images. The core technologies applied in these quality control applications within manufacturing plants encompass machine learning, computer vision, and context-aware computing. This robust quality control framework aids plant operators in validating the product quality, and it finds extensive application in industries such as pharmaceuticals, food and beverages, as well as semiconductors."Software segment hold the largest market share during the forecast period"

A computer system needs highly effective and efficient hardware and software to exhibit intelligent capabilities like the human brain. The growing adoption of AI solutions and platforms in various industries and the widening application scope of AI in the manufacturing sector are the prime factors driving the growth of the artificial intelligence in manufacturing market for the software segment.

"China is to dominate the artificial intelligence in manufacrturing market of Asia Pacific in 2023"

Asia Pacific consists of some of the fastest-growing economies-such as China, Japan, and South Korea. China is a key manufacturing hub in the Asia Pacific region. The country is a major force of artificial intelligence development in Asia Pacific, with strengths in data accessibility and policy support. The manufacturing sector in China is growing rapidly, resulting in the introduction of new robotics and big data technologies. All these factors, coupled with the presence of a large number of manufacturing plants in China, are expected to increase the manufacturing data volume. Moreover, the government of China is undertaking initiatives to encourage the adoption of AI technologies in manufacturing

The break-up of the profiles of primary participants:

• By Company Type - Tier 1 - 55%, Tier 2 - 25%, and Tier 3 - 20%
• By Designation - C-level Executives - 60%, Directors - 20%, and Others - 20%
• By Region - North America - 40%, Europe - 30%, Asia Pacific - 20%, and Rest of the World - 10%

Major players in the artificial intelligence in manufacturing market include Siemens, IBM, Intel Corporation, NVIDIA Corporation, and General Electric and others.

Research Coverage

The report segments the artificial intelligence in manufacturing market by Offering, Technology, Application, Industry, and Region. The report also comprehensively reviews drivers, restraints, opportunities, and challenges influencing market growth. The report also covers qualitative aspects in addition to the quantitative aspects of the market.

Reasons to buy the report:

The report will help the market leaders/new entrants with information on the closest approximate revenues for the overall artificial intelligence in manufacturing market and related segments. This report will help stakeholders understand the competitive landscape and gain more insights to strengthen their position in the market and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, opportunities, and challenges.

The report provides insights on the following pointers:

• Analysis of critical drivers (Rising need to handle increasingly large and complex dataset, emerging industrial IoT and automation technology, surging adoption of AI fuiling growth of semiconductor chipset manufacturing, growing investment propelling growth of start-ups in manufacturing AI space), restraints (Reluctance among manufacturers to adopt AI-based technologies), opportunities (enhance manufacturing efficiency through AI-powered predictive analytics and production planning, application of AI-driven machine learning and NLP for intelligent enterprise processes), and challenges (lack of skilled workforce, especially in developing countries and concerns regarding data privacy and cybersecurity regulations) influencing the growth of the artificial intelligence in manufacturing market.
• Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product launches in the artificial intelligence in manufacturing market.
• Market Development: Comprehensive information about lucrative markets - the report analyses the artificial intelligence in manufacturing market across various regions.
• Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the artificial intelligence in manufacturing market.
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and product offerings of leading players like Siemens (Germany), IBM (US), Intel Corporation (US), NVIDIA Corporation (US), and General Electric Company (US).

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
  • 1.2.1 INCLUSIONS AND EXCLUSIONS
• 1.3 STUDY SCOPE
  • 1.3.1 MARKETS COVERED
  • 1.3.2 REGIONAL SCOPE
  • 1.3.3 YEARS CONSIDERED
• 1.4 CURRENCY CONSIDERED
• 1.5 STAKEHOLDERS
• 1.6 SUMMARY OF CHANGES….
  • 1.6.1 RECESSION IMPACT ANALYSIS

2 RESEARCH METHODOLOGY

• 2.1 RESEARCH DATA
  • FIGURE 1 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: RESEARCH DESIGN
  • 2.1.1 SECONDARY DATA
    • 2.1.1.1 List of major secondary sources
    • 2.1.1.2 Key data from secondary sources
  • 2.1.2 PRIMARY DATA
    • 2.1.2.1 Primary interviews with experts
    • 2.1.2.2 Breakdown of primaries
    • 2.1.2.3 Key data from primary sources
  • 2.1.3 SECONDARY AND PRIMARY RESEARCH
    • 2.1.3.1 Key industry insights
• 2.2 MARKET SIZE ESTIMATION
  • 2.2.1 BOTTOM-UP APPROACH
    • 2.2.1.1 Approach to derive market size using bottom-up analysis
  • FIGURE 2 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
  • 2.2.2 TOP-DOWN APPROACH
    • 2.2.2.1 Approach to derive market size using bottom-up analysis
  • FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
  • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY (SUPPLY SIDE APPROACH)
• 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
  • FIGURE 5 DATA TRIANGULATION
• 2.4 RESEARCH ASSUMPTIONS
  • FIGURE 6 ASSUMPTIONS FOR RESEARCH STUDY
• 2.5 PARAMETERS CONSIDERED TO ANALYZE IMPACT OF RECESSION ON ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
• 2.6 RESEARCH LIMITATIONS
• 2.7 RISK ASSESSMENT
  • FIGURE 7 RISK ASSESSMENT OF RESEARCH STUDY

3 EXECUTIVE SUMMARY

• FIGURE 8 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, 2019-2028 (USD MILLION)
• FIGURE 9 SOFTWARE OFFERINGS TO CAPTURE LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2028
• FIGURE 10 MACHINE LEARNING TECHNOLOGY TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2028
• FIGURE 11 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION APPLICATION TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023
• FIGURE 12 AUTOMOTIVE INDUSTRY ACCOUNTED FOR LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2022
• FIGURE 13 ASIA PACIFIC TO REGISTER HIGHEST CAGR IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET DURING FORECAST PERIOD

4 PREMIUM INSIGHTS

• 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
  • FIGURE 14 RISING ADOPTION OF IIOT AND AUTOMATION TECHNOLOGY BY MANUFACTURING FIRMS TO DRIVE MARKET GROWTH
• 4.2 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING
  • FIGURE 15 SOFTWARE SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023
• 4.3 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY
  • FIGURE 16 MACHINE LEARNING SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023
• 4.4 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION
  • FIGURE 17 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023
• 4.5 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY
  • FIGURE 18 AUTOMOTIVE SEGMENT HELD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC IN 2022
• 4.6 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY
  • FIGURE 19 CHINA TO REGISTER HIGHEST CAGR IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET BETWEEN 2023 AND 2028

5 MARKET OVERVIEW

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • FIGURE 20 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Pressing need to handle large and complex datasets effectively
    • 5.2.1.2 Rising adoption of IIoT and automation technologies by manufacturing firms
    • 5.2.1.3 Thriving semiconductor chipset industry due to increasing adoption of AI technology
    • 5.2.1.4 Growing venture capital and seed funding opportunities for startups entering in AI-driven manufacturing
  • FIGURE 21 IMPACT ANALYSIS OF DRIVERS
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 Reluctance among manufacturers to adopt AI-based technologies
  • FIGURE 22 IMPACT ANALYSIS OF RESTRAINTS
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Utilization of AI-powered predictive analytics and production planning apps to enhance manufacturing efficiency
    • 5.2.3.2 Execution of ML and NLP to automate and upgrade business processes
  • FIGURE 23 IMPACT ANALYSIS OF OPPORTUNITIES
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Shortage of skilled workforce, especially in developing countries
    • 5.2.4.2 Concerns regarding data privacy and stringent data security regulations
  • FIGURE 24 IMPACT ANALYSIS OF CHALLENGES
• 5.3 VALUE CHAIN ANALYSIS
  • FIGURE 25 ARTIFICIAL INTELLIGENCE IN MANUFACTURING VALUE CHAIN ANALYSIS
• 5.4 ECOSYSTEM MAPPING
  • FIGURE 26 ECOSYSTEM ANALYSIS
  • TABLE 1 ROLE OF MAJOR COMPANIES IN ECOSYSTEM
• 5.5 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 27 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.6 PORTER'S FIVE FORCES ANALYSIS
  • FIGURE 28 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: PORTER'S FIVE FORCES ANALYSIS
  • TABLE 2 IMPACT OF EACH FORCE ON AI IN MANUFACTURING MARKET
  • 5.6.1 BARGAINING POWER OF SUPPLIERS
  • 5.6.2 BARGAINING POWER OF BUYERS
  • 5.6.3 THREAT OF NEW ENTRANTS
  • 5.6.4 THREAT OF SUBSTITUTES
  • 5.6.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.7 CASE STUDY ANALYSIS
  • TABLE 3 SIEMENS GAMESA DEPLOYED AI SOLUTION TO ACCELERATE INSPECTION SPEED OF TURBINE BLADES
  • TABLE 4 VOLVO ADOPTED MACHINE LEARNING-DRIVEN DATA ANALYTICS TO PREDICT VEHICLE BREAKDOWN AND IMPROVE SERVICE
  • TABLE 5 ROLLS-ROYCE CHOSE MICROSOFT CORTANA TO SCHEDULE MAINTENANCE PLANS AND REDUCE OPERATIONAL DISRUPTIONS
  • TABLE 6 PAPER PACKAGING FIRM IMPLEMENTED EMA APPLICATION SUITE TO IMPROVE PRODUCTION PROCESS AND DIAGNOSE QUALITY ISSUES
• 5.8 TECHNOLOGY ANALYSIS
• 5.9 PRICING ANALYSIS
  • 5.9.1 AVERAGE SELLING PRICE OF PROCESSORS OFFERED BY KEY PLAYERS
  • FIGURE 29 AVERAGE SELLING PRICE OF KEY PLAYERS, BY PROCESSOR TYPE
  • TABLE 7 AVERAGE SELLING PRICE OF PROCESSORS OFFERED BY KEY PLAYERS, BY TYPE
  • 5.9.2 AVERAGE SELLING PRICE TREND OF PROCESSORS, BY TYPE
  • TABLE 8 AVERAGE SELLING PRICE OF PROCESSORS, 2022 (USD)
  • TABLE 9 AVERAGE SELLING PRICE OF PROCESSORS USED IN AI-BASED MANUFACTURING, BY REGION, 2022
  • FIGURE 30 AVERAGE SELLING PRICE OF PROCESSORS, 2019-2028 (USD)
• 5.10 TRADE ANALYSIS
  • 5.10.1 IMPORT SCENARIO
  • FIGURE 31 IMPORT VALUES, BY KEY COUNTRY, 2018-2022 (USD MILLION)
  • 5.10.2 EXPORT SCENARIO
  • FIGURE 32 EXPORT VALUES, BY KEY COUNTRY, 2018-2022 (USD MILLION)
• 5.11 PATENT ANALYSIS
  • FIGURE 33 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS
  • TABLE 10 TOP 20 PATENT OWNERS IN US IN LAST 10 YEARS
  • FIGURE 34 NUMBER OF PATENTS GRANTED PER YEAR FROM 2013 TO 2022
  • TABLE 11 RECENT PATENTS RELATED TO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
• 5.12 KEY STAKEHOLDERS AND BUYING CRITERIA
  • 5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • FIGURE 35 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS
  • TABLE 12 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS (%)
  • 5.12.2 BUYING CRITERIA
  • FIGURE 36 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS
  • TABLE 13 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS
• 5.13 KEY CONFERENCES AND EVENTS, 2023-2025
  • TABLE 14 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: CONFERENCES AND EVENTS
• 5.14 REGULATORY LANDSCAPE
  • 5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 15 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 16 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 17 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 18 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.14.2 STANDARDS IN ITS/C-ITS
  • TABLE 19 SECURITY AND PRIVACY STANDARDS DEVELOPED BY EUROPEAN TELECOMMUNICATION STANDARDS INSTITUTE (ETSI)

6 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING

• 6.1 INTRODUCTION
  • FIGURE 37 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING
  • FIGURE 38 SOFTWARE SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2028
  • TABLE 20 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING, 2019-2022 (USD MILLION)
  • TABLE 21 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
• 6.2 HARDWARE
  • TABLE 22 HARDWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019-2022 (USD MILLION)
  • TABLE 23 HARDWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023-2028 (USD MILLION)
  • 6.2.1 PROCESSORS
    • 6.2.1.1 Robust parallel processing capabilities of processors to foster adoption in AI applications
      • 6.2.1.1.1 Microprocessor units (MPUs)
      • 6.2.1.1.2 Graphics processing units (GPUs)
      • 6.2.1.1.3 Field programmable gate array (FPGA)
      • 6.2.1.1.4 Application-specific integrated circuits (ASICs)
  • 6.2.2 MEMORY DEVICES
    • 6.2.2.1 High demand for high-bandwidth memory devices to drive market
  • 6.2.3 NETWORK DEVICES
    • 6.2.3.1 Increased implementation of Ethernet adaptors and interconnects to create opportunities for network device providers
• 6.3 SOFTWARE
  • TABLE 24 SOFTWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019-2022 (USD MILLION)
  • TABLE 25 SOFTWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023-2028 (USD MILLION)
  • 6.3.1 AI SOLUTIONS
    • 6.3.1.1 Rising use of nonprocedural languages to develop AI solutions to boost segmental growth
  • TABLE 26 AI SOLUTIONS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY DEPLOYMENT TYPE, 2019-2022 (USD MILLION)
  • TABLE 27 AI SOLUTIONS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY DEPLOYMENT TYPE, 2023-2028 (USD MILLION)
    • 6.3.1.2 On-premises
      • 6.3.1.2.1 Greater flexibility and control offered by on-premises AI solutions to fuel segmental growth
    • 6.3.1.3 Cloud
      • 6.3.1.3.1 Reduced operational costs, hassle-free deployment, and high scalability provided by cloud deployment model to drive segmental growth
  • 6.3.2 AI PLATFORMS
    • 6.3.2.1 Increasing adoption of AI platforms to develop learning algorithms and intelligent applications to support segmental growth
  • TABLE 28 AI PLATFORMS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY PLATFORM TYPE, 2019-2022 (USD MILLION)
  • TABLE 29 AI PLATFORMS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY PLATFORM TYPE, 2023-2028 (USD MILLION)
    • 6.3.2.2 Machine learning framework
    • 6.3.2.3 Application program interface (API)
• 6.4 SERVICES
  • TABLE 30 SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019-2022 (USD MILLION)
  • TABLE 31 SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023-2028 (USD MILLION)
  • 6.4.1 DEPLOYMENT & INTEGRATION
    • 6.4.1.1 Growing demand for deployment and integration services while configuring AI systems in manufacturing sector to drive market
  • 6.4.2 SUPPORT & MAINTENANCE
    • 6.4.2.1 Increasing demand for support & maintenance services to keep systems at acceptable standards to fuel market growth

7 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY

• 7.1 INTRODUCTION
  • FIGURE 39 MACHINE LEARNING TECHNOLOGY TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING IN 2028
  • TABLE 32 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
  • TABLE 33 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
• 7.2 MACHINE LEARNING
  • 7.2.1 ADVANCEMENTS IN DEEP LEARNING, SUPERVISED LEARNING, AND REINFORCEMENT LEARNING TECHNOLOGIES TO DRIVE MARKET
  • TABLE 34 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019-2022 (USD MILLION)
  • TABLE 35 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023-2028 (USD MILLION)
  • TABLE 36 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
  • TABLE 37 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
  • 7.2.2 DEEP LEARNING
    • 7.2.2.1 Growing penetration of IoT, automation, and machine vision technologies in manufacturing plants to drive market
  • 7.2.3 SUPERVISED LEARNING
    • 7.2.3.1 Image recognition, facial recognition, and predictive analytics to contribute to market growth
  • 7.2.4 REINFORCEMENT LEARNING
    • 7.2.4.1 Potential to automatically determine context-specific ideal behavior to maximize performance to drive market
  • 7.2.5 UNSUPERVISED LEARNING
    • 7.2.5.1 Use of algorithms to find hidden data patterns or groupings in large datasets to boost adoption of unsupervised learning technology
  • 7.2.6 OTHER TECHNOLOGY TYPES
• 7.3 NATURAL LANGUAGE PROCESSING
  • 7.3.1 RISING USE OF NLP-DRIVEN TOOLS TO AUTOMATE COMPLEX BUSINESS PROCESSES TO DRIVE MARKET
  • TABLE 38 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
  • TABLE 39 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
• 7.4 CONTEXT-AWARE COMPUTING
  • 7.4.1 INCREASING FOCUS ON MAKING REAL-TIME DECISIONS TO ENHANCE QUALITY, SAFETY, AND PRODUCTIVITY TO BOOST DEMAND IN MANUFACTURING SECTOR
  • TABLE 40 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019-2022 (USD MILLION)
  • TABLE 41 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023-2028 (USD MILLION)
  • TABLE 42 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
  • TABLE 43 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
• 7.5 COMPUTER VISION
  • 7.5.1 INTEGRATION OF COMPUTER VISION TECHNOLOGY TO ANALYZE 3D OBJECTS AND MINIMIZE MATERIAL WASTE TO DRIVE MARKET
  • TABLE 44 COMPUTER VISION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
  • TABLE 45 COMPUTER VISION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)

8 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION

• 8.1 INTRODUCTION
  • FIGURE 40 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION
  • FIGURE 41 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023
  • TABLE 46 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
  • TABLE 47 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
• 8.2 INVENTORY OPTIMIZATION
  • 8.2.1 GROWING IMPLEMENTATION OF AI IN MANUFACTURING SECTOR TO ACHIEVE COST-EFFICIENCY AND ENSURE TIMELY PRODUCT DELIVERY TO DRIVE MARKET
  • TABLE 48 INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
  • TABLE 49 INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
  • TABLE 50 INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
  • TABLE 51 INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
• 8.3 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION
  • 8.3.1 INCREASING ADOPTION OF LEARNING TECHNOLOGY TO PREVENT UNEXPECTED DOWNTIME DUE TO MACHINE FAILURE TO FUEL MARKET GROWTH
  • FIGURE 42 MACHINE LEARNING TECHNOLOGY TO DOMINATE MARKET FOR PREDICTIVE MAINTENANCE & MACHINERY INSPECTION APPLICATIONS DURING FORECAST PERIOD
  • TABLE 52 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
  • TABLE 53 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING, BY TECHNOLOGY, 2023-2028 (USD MILLION)
  • TABLE 54 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
  • TABLE 55 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
• 8.4 PRODUCTION PLANNING
  • 8.4.1 RISING USE OF BIG DATA ANALYTICS IN PRODUCTION PLANNING TO FOSTER MARKET GROWTH
  • TABLE 56 PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
  • TABLE 57 PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
  • TABLE 58 PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
  • TABLE 59 PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
• 8.5 FIELD SERVICES
  • 8.5.1 SURGING USE OF AI-POWERED SOLUTIONS IN FIELD SERVICES OFFERED TO OIL & GAS AND ENERGY & POWER INDUSTRY PLAYERS TO SUPPORT MARKET GROWTH
  • TABLE 60 FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
  • TABLE 61 FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
  • TABLE 62 FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
  • TABLE 63 FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
• 8.6 RECLAMATION
  • 8.6.1 ELEVATING DEMAND FOR COMPUTER VISION TECHNOLOGY TO IDENTIFY AND SORT RECYCLABLE MATERIALS TO DRIVE MARKET
  • TABLE 64 RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
  • TABLE 65 RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
  • TABLE 66 RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
  • TABLE 67 RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
• 8.7 QUALITY CONTROL
  • 8.7.1 GROWING USE OF AI-POWERED QUALITY CONTROL SYSTEMS BY PHARMACEUTICAL AND FOOD & BEVERAGE COMPANIES TO ACCELERATE MARKET GROWTH
  • TABLE 68 QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
  • TABLE 69 QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
  • TABLE 70 QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
  • TABLE 71 QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
• 8.8 CYBERSECURITY
  • 8.8.1 HIGH EMPHASIS OF AUTOMATED PLANTS ON AVOIDING DATA BREACHES TO BOOST DEMAND FOR AI-DRIVEN CYBERSECURITY SOLUTIONS
  • TABLE 72 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
  • TABLE 73 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
  • FIGURE 43 ASIA PACIFIC TO HOLD LARGEST MARKET SHARE FOR CYBERSECURITY APPLICATIONS IN 2023
  • TABLE 74 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
  • TABLE 75 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
• 8.9 INDUSTRIAL ROBOTS
  • 8.9.1 SEAMLESS INTEGRATION OF AI INTO INDUSTRIAL ROBOTS TO IMPROVE PRODUCTION AND EFFICIENCY TO DRIVE MARKET
  • TABLE 76 INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
  • TABLE 77 INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
  • TABLE 78 INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
  • TABLE 79 INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)

9 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY

• 9.1 INTRODUCTION
  • FIGURE 44 AUTOMOTIVE INDUSTRY HELD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023
  • TABLE 80 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019-2022 (USD MILLION)
  • TABLE 81 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023-2028 (USD MILLION)
• 9.2 AUTOMOTIVE
  • 9.2.1 INCREASING ADOPTION OF ML AND COMPUTER VISION TECHNOLOGIES TO ENSURE FLAWLESS PRODUCTION OF VEHICLE PARTS TO DRIVE MARKET
  • TABLE 82 AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
  • FIGURE 45 ASIA PACIFIC TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET FOR AUTOMOTIVE INDUSTRY IN 2028
  • TABLE 83 AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
• 9.3 ENERGY & POWER
  • 9.3.1 GROWING IMPLEMENTATION OF AI TO MINIMIZE ENERGY WASTE AND REDUCE ENERGY COSTS TO BOOST SEGMENTAL GROWTH
  • TABLE 84 ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
  • TABLE 85 ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
• 9.4 PHARMACEUTICALS
  • 9.4.1 RISING USE OF AI IN QUALITY CONTROL AND PRODUCTION PLANNING APPLICATIONS TO STIMULATE MARKET GROWTH
  • TABLE 86 PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
  • FIGURE 46 NORTH AMERICA TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET FOR PHARMACEUTICALS INDUSTRY IN 2028
  • TABLE 87 PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
• 9.5 METALS & HEAVY MACHINERY
  • 9.5.1 INCREASED USE OF ROBOTICS IN METALS & HEAVY MACHINERY INDUSTRY TO AVOID UNPLANNED DOWNTIME AND WASTAGE TO DRIVE MARKET
  • TABLE 88 METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
  • TABLE 89 METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
• 9.6 SEMICONDUCTOR & ELECTRONICS
  • 9.6.1 SURGING FOCUS ON DEVELOPING MINIATURE SEMICONDUCTOR AND ELECTRONICS EQUIPMENT TO BOOST ADOPTION OF AI-BASED INDUSTRIAL ROBOTS
  • TABLE 90 SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
  • TABLE 91 SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
• 9.7 FOOD & BEVERAGES
  • 9.7.1 GROWING ADOPTION OF AUTOMATION TO MAINTAIN HYGIENIC FOOD PROCESSING SOLUTIONS TO FUEL MARKET GROWTH
  • TABLE 92 FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
  • TABLE 93 FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
• 9.8 OTHER INDUSTRIES
  • TABLE 94 OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
  • TABLE 95 OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)

10 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION

• 10.1 INTRODUCTION
  • FIGURE 47 CHINA, SOUTH KOREA, UK, AND US TO BE HOTSPOTS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
  • FIGURE 48 ASIA PACIFIC TO DOMINATE ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET THROUGHOUT FORECAST PERIOD
  • TABLE 96 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
  • TABLE 97 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
• 10.2 NORTH AMERICA
  • 10.2.1 NORTH AMERICA: RECESSION IMPACT
  • FIGURE 49 SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA
  • TABLE 98 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
  • TABLE 99 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
  • TABLE 100 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019-2022 (USD MILLION)
  • TABLE 101 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023-2028 (USD MILLION)
  • 10.2.2 US
    • 10.2.2.1 Rising adoption of industrial robots due to shortage of skilled workforce to drive market
  • 10.2.3 CANADA
    • 10.2.3.1 Increasing investments by SMEs in IoT to boost demand for AI-based solutions
  • 10.2.4 MEXICO
    • 10.2.4.1 Surging foreign direct investments in AI and robotics to support market growth
• 10.3 EUROPE
  • 10.3.1 EUROPE: RECESSION IMPACT
  • FIGURE 50 SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE
  • TABLE 102 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
  • TABLE 103 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
  • FIGURE 51 GERMANY HELD LARGEST SHARE OF EUROPEAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2022
  • TABLE 104 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019-2022 (USD MILLION)
  • TABLE 105 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023-2028 (USD MILLION)
  • 10.3.2 GERMANY
    • 10.3.2.1 High adoption of computer vision systems to get real-time manufacturing data to fuel market growth
  • 10.3.3 UK
    • 10.3.3.1 Increasing investment by government in robotics and AI technologies to foster market growth
  • 10.3.4 FRANCE
    • 10.3.4.1 Rising adoption of AI by manufacturing firms to fuel market growth
  • 10.3.5 REST OF EUROPE
• 10.4 ASIA PACIFIC
  • FIGURE 52 SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC
  • TABLE 106 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
  • TABLE 107 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
  • TABLE 108 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019-2022 (USD MILLION)
  • TABLE 109 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023-2028 (USD MILLION)
  • 10.4.1 CHINA
    • 10.4.1.1 Strategic planning to achieve Next Generation AI goal by 2030 to boost demand for AI technology by manufacturing firms
  • 10.4.2 JAPAN
    • 10.4.2.1 Strong presence of top-tier IT, machinery, and automobile manufacturing firms to support market growth
  • 10.4.3 SOUTH KOREA
    • 10.4.3.1 Presence of massive computing data centers for AI research to contribute to market growth
  • 10.4.4 REST OF ASIA PACIFIC
• 10.5 ROW
  • TABLE 110 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019-2022 (USD MILLION)
  • TABLE 111 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023-2028 (USD MILLION)
  • TABLE 112 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019-2022 (USD MILLION)
  • TABLE 113 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023-2028 (USD MILLION)
  • 10.5.1 SOUTH AMERICA
    • 10.5.1.1 Increased investments in IT infrastructure development to fuel market growth
  • 10.5.2 MIDDLE EAST & AFRICA
    • 10.5.2.1 Increasing deployment of cloud-based cognitive computing in manufacturing sector to drive market

11 COMPETITIVE LANDSCAPE

• 11.1 INTRODUCTION
• 11.2 MAJOR STRATEGIES ADOPTED BY KEY PLAYERS
  • TABLE 114 OVERVIEW OF STRATEGIES ADOPTED BY PLAYERS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
• 11.3 REVENUE ANALYSIS OF TOP 5 PLAYERS
  • FIGURE 53 FIVE-YEAR REVENUE ANALYSIS OF TOP 5 PLAYERS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
• 11.4 MARKET SHARE ANALYSIS
  • TABLE 115 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE ANALYSIS, 2022
  • FIGURE 54 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE, BY COMPANY, 2022
• 11.5 COMPANY EVALUATION MATRIX, 2022
  • 11.5.1 STARS
  • 11.5.2 PERVASIVE PLAYERS
  • 11.5.3 EMERGING LEADERS
  • 11.5.4 PARTICIPANTS
  • FIGURE 55 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET (GLOBAL) COMPANY EVALUATION MATRIX, 2022
• 11.6 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: COMPANY FOOTPRINT
  • 11.6.1 COMPANY FOOTPRINT OF TOP PLAYERS
  • TABLE 116 APPLICATION AND REGIONAL FOOTPRINT OF TOP COMPANIES
  • TABLE 117 APPLICATION FOOTPRINT OF KEY COMPANIES
  • TABLE 118 OFFERING FOOTPRINT OF KEY COMPANIES
  • TABLE 119 REGIONAL FOOTPRINT OF KEY COMPANIES
• 11.7 SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION MATRIX, 2022
  • 11.7.1 PROGRESSIVE COMPANIES
  • 11.7.2 RESPONSIVE COMPANIES
  • 11.7.3 DYNAMIC COMPANIES
  • 11.7.4 STARTING BLOCKS
  • FIGURE 56 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET (GLOBAL) SME EVALUATION MATRIX, 2022
• 11.8 COMPETITIVE BENCHMARKING
  • TABLE 120 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: LIST OF KEY STARTUPS/SMES
  • TABLE 121 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
• 11.9 COMPETITIVE SITUATIONS AND TRENDS
  • TABLE 122 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: PRODUCT LAUNCHES, 2021-2023
  • TABLE 123 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: DEALS, 2021-2023
  • TABLE 124 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: OTHERS, 2021-2023

12 COMPANY PROFILES

(Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats))**

• 12.1 KEY PLAYERS
  • 12.1.1 NVIDIA CORPORATION
  • TABLE 125 NVIDIA CORPORATION: COMPANY OVERVIEW
  • FIGURE 57 NVIDIA CORPORATION: COMPANY SNAPSHOT
  • TABLE 126 NVIDIA CORPORATION: PRODUCT/SOLUTION/SERVICE OFFERINGS
  • TABLE 127 NVIDIA CORPORATION: PRODUCT LAUNCHES
  • TABLE 128 NVIDIA CORPORATION: DEALS
  • 12.1.2 IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION)
  • TABLE 129 IBM: COMPANY OVERVIEW
  • FIGURE 58 IBM: COMPANY SNAPSHOT
  • TABLE 130 IBM: PRODUCT/SOLUTION/SERVICE OFFERINGS
  • TABLE 131 IBM: PRODUCT LAUNCHES
  • TABLE 132 IBM: DEALS
  • 12.1.3 INTEL CORPORATION
  • TABLE 133 INTEL CORPORATION: COMPANY OVERVIEW
  • FIGURE 59 INTEL CORPORATION: COMPANY SNAPSHOT
  • TABLE 134 INTEL CORPORATION: PRODUCT/SOLUTION/SERVICE OFFERINGS
  • TABLE 135 INTEL CORPORATION: PRODUCT LAUNCHES
  • TABLE 136 INTEL CORPORATION: DEALS
  • 12.1.4 SIEMENS
  • TABLE 137 SIEMENS: COMPANY OVERVIEW
  • FIGURE 60 SIEMENS: COMPANY SNAPSHOT
  • TABLE 138 SIEMENS: PRODUCT/SOLUTION/SERVICE OFFERINGS
  • TABLE 139 SIEMENS: PRODUCT LAUNCHES
  • TABLE 140 SIEMENS: DEALS
  • 12.1.5 GENERAL ELECTRIC
  • TABLE 141 GENERAL ELECTRIC: COMPANY OVERVIEW
  • FIGURE 61 GENERAL ELECTRIC: COMPANY SNAPSHOT
  • TABLE 142 GENERAL ELECTRIC: PRODUCT/SOLUTION/SERVICE OFFERINGS
  • TABLE 143 GENERAL ELECTRIC: PRODUCT LAUNCHES
  • TABLE 144 GENERAL ELECTRIC: DEALS
  • 12.1.6 GOOGLE LLC
  • TABLE 145 GOOGLE LLC: COMPANY OVERVIEW
  • FIGURE 62 GOOGLE LLC: COMPANY SNAPSHOT
  • TABLE 146 GOOGLE LLC: PRODUCT/SOLUTION/SERVICE OFFERINGS
  • TABLE 147 GOOGLE LLC: PRODUCT LAUNCHES
  • TABLE 148 GOOGLE LLC: DEALS
  • 12.1.7 MICROSOFT
  • TABLE 149 MICROSOFT: COMPANY OVERVIEW
  • FIGURE 63 MICROSOFT: COMPANY SNAPSHOT
  • TABLE 150 MICROSOFT: PRODUCT/SOLUTION/SERVICE OFFERINGS
  • TABLE 151 MICROSOFT: PRODUCT LAUNCHES
  • TABLE 152 MICROSOFT: DEALS
  • 12.1.8 MICRON TECHNOLOGY, INC.
  • TABLE 153 MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW
  • FIGURE 64 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT
  • TABLE 154 MICRON TECHNOLOGY, INC.: PRODUCT/SOLUTION/SERVICE OFFERINGS
  • TABLE 155 MICRON TECHNOLOGY, INC.: PRODUCT LAUNCHES
  • TABLE 156 MICRON TECHNOLOGY: DEALS
  • TABLE 157 MICRON TECHNOLOGY, INC.: OTHERS
  • 12.1.9 AMAZON WEB SERVICES, INC. (AWS)
  • TABLE 158 AMAZON WEB SERVICES, INC.: COMPANY OVERVIEW
  • FIGURE 65 AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
  • TABLE 159 AMAZON WEB SERVICES, INC.: PRODUCT/SOLUTION/SERVICE OFFERINGS
  • TABLE 160 AMAZON WEB SERVICES, INC.: PRODUCT LAUNCHES
  • TABLE 161 AMAZON WEB SERVICES, INC.: DEALS
  • 12.1.10 SIGHT MACHINE
  • TABLE 162 SIGHT MACHINE: COMPANY OVERVIEW
  • TABLE 163 SIGHT MACHINE: PRODUCT/SOLUTION/SERVICE OFFERINGS
  • TABLE 164 SIGHT MACHINE: PRODUCT LAUNCHES
  • TABLE 165 SIGHT MACHINE: DEALS
• 12.2 OTHER PLAYERS
  • 12.2.1 PROGRESS SOFTWARE CORPORATION (DATARPM)
  • TABLE 166 PROGRESS SOFTWARE CORPORATION (DATARPM): COMPANY OVERVIEW
  • 12.2.2 AIBRAIN INC.
  • TABLE 167 AIBRAIN INC.: COMPANY OVERVIEW
  • 12.2.3 GENERAL VISION INC.
  • TABLE 168 GENERAL VISION INC.: COMPANY OVERVIEW
  • 12.2.4 ROCKWELL AUTOMATION
  • TABLE 169 ROCKWELL AUTOMATION: COMPANY OVERVIEW
  • 12.2.5 CISCO SYSTEMS, INC.
  • TABLE 170 CISCO SYSTEMS, INC.: COMPANY OVERVIEW
  • 12.2.6 MITSUBISHI ELECTRIC CORPORATION
  • TABLE 171 MITSUBISHI ELECTRIC CORPORATION: COMPANY OVERVIEW
  • 12.2.7 ORACLE
  • TABLE 172 ORACLE: COMPANY OVERVIEW
  • 12.2.8 SAP
  • TABLE 173 SAP: COMPANY OVERVIEW
  • 12.2.9 VICARIOUS
  • TABLE 174 VICARIOUS: COMPANY OVERVIEW
  • 12.2.10 UBTECH ROBOTICS CORP LTD
  • TABLE 175 UBTECH ROBOTICS CORP LTD: COMPANY OVERVIEW
  • 12.2.11 AQUANT
  • TABLE 176 AQUANT: COMPANY OVERVIEW
  • 12.2.12 BRIGHT MACHINES, INC.
  • TABLE 177 BRIGHT MACHINES, INC.: COMPANY OVERVIEW
  • 12.2.13 RETHINK ROBOTICS GMBH
  • TABLE 178 RETHINK ROBOTICS GMBH: COMPANY OVERVIEW
  • 12.2.14 SPARKCOGNITION
  • TABLE 179 SPARKCOGNITION: COMPANY OVERVIEW
  • 12.2.15 FLUTURA
  • TABLE 180 FLUTURA: COMPANY OVERVIEW
• *Details on Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats) might not be captured in case of unlisted companies.

13 ADJACENT MARKET

• 13.1 SMART FACTORY MARKET
• 13.2 INTRODUCTION
  • FIGURE 66 SMART FACTORY MARKET, BY COMPONENT
  • FIGURE 67 INDUSTRIAL SENSORS TO HOLD LARGEST SHARE OF SMART FACTORY MARKET FOR COMPONENTS IN 2027
  • TABLE 181 SMART FACTORY MARKET, BY COMPONENT, 2018-2021 (USD MILLION)
  • TABLE 182 SMART FACTORY MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
• 13.3 INDUSTRIAL SENSORS
  • TABLE 183 INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY SENSOR TYPE, 2018-2021 (USD MILLION)
  • TABLE 184 INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY SENSOR TYPE, 2022-2027 (USD MILLION)
  • TABLE 185 INDUSTRIAL SENSORS: SMART FACTORY MARKET, 2018-2021 (MILLION UNITS)
  • TABLE 186 INDUSTRIAL SENSORS: SMART FACTORY MARKET, 2022-2027 (MILLION UNITS)
  • TABLE 187 INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY REGION, 2018-2021 (USD MILLION)
  • TABLE 188 INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 13.3.1 LEVEL SENSORS
    • 13.3.1.1 Rising demand for level sensors to detect and measure levels of liquids, bulk solids, and other fluids to drive market
  • 13.3.2 TEMPERATURE SENSORS
    • 13.3.2.1 Increasing use of temperature sensors in chemicals, energy & power, and oil & gas vertical to support market growth
  • 13.3.3 FLOW SENSORS
    • 13.3.3.1 Rising adoption of flow sensors to measure rate of fluid flow either directly or inferentially to fuel market growth
  • 13.3.4 POSITION SENSORS
    • 13.3.4.1 Increasing application areas of position sensors increasing with technological advancements to drive market
  • 13.3.5 PRESSURE SENSORS
    • 13.3.5.1 Growing adoption of pressure sensors in semiconductor processing, robotics, and test & measurement in industrial applications to contribute to market growth
  • 13.3.6 FORCE SENSORS
    • 13.3.6.1 Rising use of force sensors to ensure safe robot and human interaction to drive market
  • 13.3.7 HUMIDITY & MOISTURE SENSORS
    • 13.3.7.1 Extensive use of humidity and moisture sensors in chemicals, pharmaceuticals, oil & gas, and food & beverages verticals to drive market
  • 13.3.8 IMAGE SENSORS
    • 13.3.8.1 Increasing adoption of image sensors to convert optical images into electronic signals to support market growth
  • 13.3.9 GAS SENSORS
    • 13.3.9.1 Surging adoption of gas sensors to measure concentration of different gases in air to contribute to market growth
• 13.4 INDUSTRIAL ROBOTS
  • TABLE 189 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2018-2021 (USD MILLION)
  • TABLE 190 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2022-2027 (USD MILLION)
  • TABLE 191 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2018-2021 (THOUSAND UNITS)
  • TABLE 192 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2022-2027 (THOUSAND UNITS)
  • TABLE 193 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY REGION, 2018-2021 (USD MILLION)
  • TABLE 194 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 13.4.1 TRADITIONAL INDUSTRIAL ROBOTS
    • 13.4.1.1 Articulated robots
      • 13.4.1.1.1 Growing use of articulated robots in assembly and welding to drive segmental growth
    • 13.4.1.2 Cartesian robots
      • 13.4.1.2.1 Potential to carry heavy loads to boost demand for cartesian robots in industrial applications
    • 13.4.1.3 Selective compliance assembly robot arm (SCARA) robots
      • 13.4.1.3.1 Growing utilization of SCARA robots in welding and spray-painting operations to fuel market growth
    • 13.4.1.4 Cylindrical robots
      • 13.4.1.4.1 Suitability of cylindrical robots for pick and place operations to drive market
    • 13.4.1.5 Other robots
  • 13.4.2 COLLABORATIVE ROBOTS
    • 13.4.2.1 Highest adoption rate of collaborative robots in industrial applications to drive market
• 13.5 INDUSTRIAL 3D PRINTERS
  • 13.5.1 RISING ADOPTION OF INDUSTRIAL PRINTERS TO CONSTRUCT THREE-DIMENSIONAL SOLID OBJECTS TO DRIVE MARKET
  • TABLE 195 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY OFFERING, 2018-2021 (USD MILLION)
  • TABLE 196 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY OFFERING, 2022-2027 (USD MILLION)
  • TABLE 197 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, 2018-2021 (MILLION UNITS)
  • TABLE 198 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, 2022-2027 (MILLION UNITS)
  • TABLE 199 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY PROCESS, 2018-2021 (USD MILLION)
  • TABLE 200 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY PROCESS, 2022-2027 (USD MILLION)
  • TABLE 201 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY REGION, 2018-2021 (USD MILLION)
  • TABLE 202 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY REGION, 2022-2027 (USD MILLION)
• 13.6 MACHINE VISION SYSTEMS
  • TABLE 203 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY PRODUCT, 2018-2021 (USD MILLION)
  • TABLE 204 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY PRODUCT, 2022-2027 (USD MILLION)
  • TABLE 205 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY COMPONENT, 2018-2021 (USD MILLION)
  • TABLE 206 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
  • TABLE 207 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY REGION, 2018-2021 (USD MILLION)
  • TABLE 208 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 13.6.1 CAMERAS
    • 13.6.1.1 Rising need for high-quality images to boost demand for smart cameras
  • 13.6.2 FRAME GRABBERS, OPTICS, AND LED LIGHTING
    • 13.6.2.1 Influence of position and quality of other key components, such as LEDs and frame grabbers, on image quality to lead to high demand
  • 13.6.3 PROCESSORS AND SOFTWARE
    • 13.6.3.1 Growing integration of processors and software in machine vision systems to drive market

14 APPENDIX

• 14.1 INSIGHTS FROM INDUSTRY EXPERTS
• 14.2 DISCUSSION GUIDE
• 14.3 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 14.4 CUSTOMIZATION OPTIONS
• 14.5 RELATED REPORTS
• 14.6 AUTHOR DETAILS

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