Artificial Intelligence in Manufacturing Market – Global Forecast to 2030
제조업의 인공지능 시장 – 프로세서(MPUS, GPU, FPGA, ASIC), 소프트웨어(온프레미스, 클라우드), 기술(기계 학습, NLP, 컨텍스트 인식 컴퓨팅, 컴퓨터 비전, 생성 AI), 용도 – 2030년까지의 세계 예측
Artificial Intelligence in Manufacturing Market by Processor (MPUS, GPUs, FPGA, ASICs), Software (On-premises, Cloud), Technology (Machine Learning, NLP, Context-aware Computing, Computer Vision, Generative Al), Application – Global Forecast to 2030
| 조사회사 | MarketsandMarkets |
| 출판년월 | 2025년8월 |
| 페이지 수 | 335 |
| 도표 수 | 360 |
| 라이센스 | Single User License |
| 가격 | USD 4,950 |
| 구성 | 영문조사보고서 |
본 보고서에서는 제조업의 인공지능 시장을 제공 분야, 기술, 애플리케이션, 산업 및 지역별로 세분화했습니다. 제공 분야는 하드웨어, 소프트웨어 및 서비스를 포함합니다. 기술 분야는 머신러닝, 자연어 처리, 상황 인식 컴퓨팅, 컴퓨터 비전, 생성 AI로 구성됩니다. 애플리케이션 분야는 재고 최적화, 예측 유지보수 및 기계 검사, 생산 계획, 현장 서비스, 재활용, 품질 관리, 사이버 보안, 산업용 로봇으로 구성됩니다. 산업 분야는 반도체 및 전자, 에너지 및 전력, 제약, 자동차, 금속 및 중장비, 식음료, 기타 산업으로 구성됩니다. 시장은 북미, 아시아 태평양, 유럽, 기타 지역(RoW)의 네 지역으로 세분화되었습니다.
이 보고서는 이 시장의 선두주자/신규 진입자들에게 전체 시장 및 하위 세그먼트의 매출 수치에 대한 가장 근사치 정보를 제공하는 데 도움이 될 것입니다. 또한 이해관계자들이 경쟁 환경을 이해하고, 사업의 입지를 강화하고 적절한 시장 진출 전략을 수립하는 데 필요한 통찰력을 얻는 데 도움이 될 것입니다. 또한, 이 보고서는 이해관계자들이 제조업 인공지능 시장의 동향을 이해하고 주요 시장 동인, 제약, 과제 및 기회에 대한 정보를 제공합니다.
제조업의 인공지능 시장은 35.3%의 CAGR로 2025년 341억 8천만 달러에서 2030년 1,550억 4천만 달러로 성장할 것으로 예상됩니다.
이러한 견고한 성장은 생산 워크플로우를 간소화하고, 실시간 의사 결정을 향상시키고, 다양한 제조 운영에서 예측적 유지 관리를 지원하기 위한 AI 기술의 빠른 도입에 의해 주도되고 있습니다. 제조업체가 더 큰 민첩성, 비용 효율성 및 품질 보증을 위해 노력함에 따라 AI 솔루션은 새로운 수준의 운영 인텔리전스와 생산성을 끌어내는 데 중요한 역할을 하고 있습니다. 자동차, 전자, 항공우주 및 소비재와 같은 산업은 머신 러닝, 컴퓨터 비전 및 자연어 처리를 활용하여 생산 일정을 최적화하고, 가동 중지 시간을 줄이고, 프로세스 초기에 이상을 감지하고 있습니다. AI 지원 로봇, 디지털 트윈 및 지능형 품질 관리 시스템을 사용하면 제조업체가 정밀성과 적응성을 갖추고 생산량을 확장할 수 있습니다. 또한 산업용 IoT 플랫폼 및 클라우드 기반 데이터 분석과 AI를 통합하면 연결된 데이터 중심 생태계를 구축하여 스마트 팩토리로의 전환을 가속화합니다. 지속가능성, 맞춤화, 그리고 글로벌 경쟁력에 대한 중요성이 커짐에 따라, AI는 차세대 제조 패러다임을 형성하는 데 있어 혁신적인 역할을 할 것으로 예상됩니다. 지능형 자동화와 지속적인 프로세스 혁신에 대한 수요가 증가함에 따라, 제조 분야의 AI 시장은 모든 지역과 산업 분야에서 지속적으로 성장할 것으로 예상됩니다.
With a CAGR of 35.3%, the global AI in manufacturing market is anticipated to rise from USD 34.18 billion in 2025 to USD 155.04 billion by 2030. This robust growth is being driven by the rapid adoption of AI technologies to streamline production workflows, enhance real-time decision making, and support predictive maintenance across diverse manufacturing operations. As manufacturers strive for greater agility, cost efficiency, and quality assurance, AI solutions are becoming instrumental in unlocking new levels of operational intelligence and productivity. Industries such as automotive, electronics, aerospace, and consumer goods are leveraging machine learning, computer vision, and natural language processing to optimize production scheduling, reduce downtime, and detect anomalies early in the process. The use of AI-enabled robots, digital twins, and intelligent quality control systems allows manufacturers to scale output with precision and adaptability. Additionally, AI integration with industrial IoT platforms and cloud-based data analytics accelerates the transition to smart factories by enabling connected, data-driven ecosystems. With growing emphasis on sustainability, customization, and global competitiveness, AI is set to play a transformative role in shaping next-generation manufacturing paradigms. As the demand for intelligent automation and continuous process innovation intensifies, the AI in manufacturing market is poised for sustained expansion across all regions and industry verticals.
“By Application, Predictive Maintenance Segment Held the Largest Market Share in 2024.”
In 2024, the predictive maintenance segment emerged as the leading application in the AI in manufacturing market, driven by the growing emphasis on minimizing equipment failures, reducing operational downtime, and optimizing asset performance. Manufacturers across industries increasingly adopted AI-powered predictive maintenance systems to analyze sensor data, detect anomalies, and forecast equipment failures before they occurred. This approach enabled timely and targeted interventions, helping companies avoid costly disruptions and improve overall production efficiency. Key sectors such as automotive, heavy machinery, energy & power, and semiconductor & electronics manufacturing prioritized predictive maintenance, particularly in high-volume and capital-intensive operations where unplanned outages could result in significant losses.
AI algorithms, integrated with IoT and cloud platforms, enabled real-time condition monitoring and intelligent diagnostics, offering a clear advantage over traditional reactive or time-based maintenance models. The widespread use of AI-driven insights to anticipate failures, optimize maintenance schedules, and reduce spare part wastage contributed significantly to the segment’s dominance. Additionally, the return on investment from predictive maintenance through improved equipment uptime, extended asset life, and reduced labor costs made it a strategic priority for manufacturers. As factories continued to evolve toward smarter, data-centric operations, predictive maintenance firmly held its position as the most impactful AI application in the manufacturing sector in 2024.
“By Technology, the Machine Learning Segment Held the Largest Market Share.”
In 2024, the machine learning segment accounted for the largest share of the AI in manufacturing market, reflecting its central role in enabling data-driven decision making, process optimization, and adaptive automation across the industry. Manufacturers increasingly relied on machine learning algorithms to analyze large volumes of operational data generated by sensors, machines, and enterprise systems, uncovering patterns and trends that traditional methods could not detect. This allowed companies to enhance production efficiency, improve quality control, and respond swiftly to changing market demands. Industries such as automotive, electronics, and metals & heavy machinery manufacturing have adopted machine learning to drive a range of applications, from demand forecasting and predictive maintenance to anomaly detection and process optimization. The technology’s ability to continuously learn and refine models based on real-time data made it especially valuable in dynamic environments with complex operations and high variability. The integration of machine learning with industrial IoT platforms, cloud computing, and edge devices significantly expanded its use across both discrete and process manufacturing. The ability to automate decision-making, reduce human error, and uncover hidden inefficiencies reinforced machine learning’s dominance as a foundational AI technology. As manufacturers pursued greater agility, scalability, and competitiveness, machine learning emerged as the most widely implemented and impactful technology within the AI in manufacturing landscape.
“By Region, Europe Recorded Significant Growth in the AI in Manufacturing Market During the Forecast Period.”
Europe is expected to witness significant growth in the AI in manufacturing market, supported by a strong focus on industrial modernization, digital innovation, and automation-led competitiveness. Manufacturers will continue to embrace AI technologies to improve productivity, reduce operational inefficiencies, and meet evolving regulatory and sustainability standards. Government-led initiatives across various European nations have played a significant role in accelerating AI integration within the manufacturing sector. Investments in research and development, along with supportive policies for smart factory development, have created a favorable environment for AI adoption.
Additionally, the presence of a highly skilled workforce, advanced industrial infrastructure, and well-established digital ecosystems has enabled faster deployment of AI solutions across the region. European manufacturers are increasingly leveraging AI to enhance production intelligence, implement real-time monitoring, and support autonomous decision-making. The emphasis on quality, precision, and traceability has further driven the demand for AI technologies that enable continuous improvement and adaptive control. As the region balances the goals of industrial innovation and environmental responsibility, AI adoption is expected to remain a key enabler of its manufacturing transformation, reinforcing Europe’s position as a major contributor to the global AI in manufacturing market.
Breakdown of primaries
A variety of executives from key organizations operating in the AI in manufacturing market, including CEOs, marketing directors, and innovation and technology directors, were interviewed in depth.
- By Company Type: Tier 1 – 45%, Tier 2 – 35%, and Tier 3 – 20%
- By Designation: Directors – 45%, C-level – 30%, and Others – 25%
- By Region: North America – 45%, Europe – 25%, Asia Pacific – 20%, and RoW – 10%
Note: Other designations include sales and product managers and project engineers. The three tiers of the companies are defined based on their total revenue in 2024: Tier 1 – revenue ≥ USD 1 billion; Tier 2 – revenue USD 100 million–USD 1 billion; and Tier 3 revenue < USD 100 million.
Major players profiled in this report are as follows:
Siemens (Germany), NVIDIA Corporation (US), IBM (US), Intel Corporation (US), GE Vernova (US), Google (US), Micron Technology, Inc (US), Microsoft (US), Amazon Web Services, Inc (US), Rockwell Automation (US), ABB (Switzerland), Honeywell International Inc. (US), Cisco Systems, Inc. (US), Hewlett Packard Enterprise Development LP (US), SAP SE (Germany), Mitsubishi Electric Corporation (Japan), Oracle (US), Dassault Systèmes (France), Sight Machine ( US), Progress Software Corporation (US), Aquant (US), Bright Machines, Inc. (US), Avathon, Inc. (US), and Zebra Technologies Corp. (US).
The study provides a detailed competitive analysis of these key players in the AI in manufacturing market, presenting their company profiles, most recent developments, and key market strategies.
Study Coverage
In this report, the AI in manufacturing market has been segmented based on offering, technology, application, industry, and region. The offering segment includes hardware, software, & services. The technology segment comprises machine learning, natural language processing, context-aware computing, computer vision, and generative AI. The application segment comprises inventory optimization, predictive maintenance & machinery inspection, production planning, field services, reclamation, quality control, cybersecurity, and industrial robots. The industry segment comprises semiconductor & electronics, energy & power, pharmaceuticals, automotive, metals & heavy machinery, food & beverages, and other industries. The market has been segmented into four regions — North America, Asia Pacific, Europe, and Rest of the World (RoW).
Reasons to buy the report
The report will help the leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall market and the sub-segments. It will also help stakeholders understand the competitive landscape and gain more insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the AI in manufacturing market’s pulse and provides information on key market drivers, restraints, challenges, and opportunities.
Key Benefits of Buying the Report
Analysis of key drivers (The proliferation of industrial IoT and connected devices is enabling seamless integration of AI across factory ecosystems. Data-driven decision making and process intelligence are becoming central to modern manufacturing strategies, allowing companies to uncover inefficiencies, optimize production schedules, and reduce variability through AI-powered insights. Enhanced human-machine collaboration, or augmented intelligence, is improving shop floor productivity by empowering workers with AI-assisted tools and systems), restraints (Data quality and availability challenges continue to limit the full potential of AI in manufacturing. The complexity in scaling AI from pilot projects to full-scale production environments presents a significant hurdle), opportunities (Increasing focus on remote operations is boosting the use of AI for real-time optimization and coordination across multiple manufacturing sites. Growing demand for personalized products is driving AI adoption to enable flexible, small-batch production tailored to individual customer needs), and challenges (Difficulty in managing real-time AI decision feedback loops limits responsiveness and disrupts tightly synchronized production workflows. Frequent changes in materials, processes, or demand patterns challenge the ability to keep AI models updated, reducing their accuracy and long-term effectiveness in dynamic manufacturing environments) influencing the growth of the AI in manufacturing market is available in the report.
- Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, new product launches in the AI in manufacturing market are available.
- Market Development: Comprehensive information about lucrative markets – the report analyses the AI in manufacturing market across regions.
- Market Diversification: Exhaustive information about new products/services, untapped geographies, recent developments, and investments in the AI in manufacturing market.
- Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players such as NVIDIA Corporation (US), IBM (US), Siemens (Germany), Intel Corporation (US), Amazon Web Services, Inc. (US), and others.
Table of Contents
1 INTRODUCTION 31
1.1 STUDY OBJECTIVES 31
1.2 MARKET DEFINITION 31
1.3 STUDY SCOPE 32
1.3.1 MARKETS COVERED AND REGIONAL SCOPE 32
1.3.2 INCLUSIONS AND EXCLUSIONS 33
1.3.3 YEARS CONSIDERED 33
1.4 CURRENCY CONSIDERED 34
1.5 STAKEHOLDERS 34
1.6 SUMMARY OF CHANGES 35
2 RESEARCH METHODOLOGY 36
2.1 RESEARCH DATA 36
2.1.1 SECONDARY AND PRIMARY RESEARCH 37
2.1.2 SECONDARY DATA 39
2.1.2.1 List of secondary sources 39
2.1.2.2 Key data from secondary sources 40
2.1.3 PRIMARY DATA 40
2.1.3.1 List of participants in primary interviews 41
2.1.3.2 Key data from primary sources 41
2.1.3.3 Key industry insights 42
2.1.3.4 Breakdown of primaries 42
2.2 MARKET SIZE ESTIMATION 43
2.2.1 BOTTOM-UP APPROACH 43
2.2.1.1 Approach to estimate market size using bottom-up analysis
(demand side) 43
2.2.2 TOP-DOWN APPROACH 44
2.2.2.1 Approach to estimate market size using top-down analysis
(supply side) 44
2.3 DATA TRIANGULATION 45
2.4 RESEARCH ASSUMPTIONS 47
2.5 RESEARCH LIMITATIONS 47
2.6 RISK ASSESSMENT 48
3 EXECUTIVE SUMMARY 49
4 PREMIUM INSIGHTS 54
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN ARTIFICIAL INTELLIGENCE
IN MANUFACTURING MARKET 54
4.2 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING 54
4.3 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY 55
4.4 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY 55
4.5 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION 56
4.6 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY 56
5 MARKET OVERVIEW 57
5.1 INTRODUCTION 57
5.2 MARKET DYNAMICS 57
5.2.1 DRIVERS 58
5.2.1.1 Increasing adoption of IIoT and connected devices across manufacturing plants 58
5.2.1.2 Growing inclination toward AI-enabled decision-making in manufacturing 59
5.2.1.3 Growing role of augmented intelligence in enhancing
workforce productivity 59
5.2.2 RESTRAINTS 60
5.2.2.1 Poor data integrity and data availability gaps in legacy systems 60
5.2.2.2 Barriers to enterprise-wide AI deployment in manufacturing 61
5.2.3 OPPORTUNITIES 61
5.2.3.1 Emerging trend of managing global plants remotely with AI 61
5.2.3.2 Shifting focus from mass production to smart customization 62
5.2.4 CHALLENGES 63
5.2.4.1 Complexities in aligning AI output with dynamic
manufacturing environments 63
5.2.4.2 Sustaining AI accuracy in dynamic production environments 63
5.3 VALUE CHAIN ANALYSIS 64
5.4 ECOSYSTEM ANALYSIS 67
5.5 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 69
5.6 PORTER’S FIVE FORCES ANALYSIS 70
5.6.1 BARGAINING POWER OF SUPPLIERS 71
5.6.2 BARGAINING POWER OF BUYERS 71
5.6.3 THREAT OF NEW ENTRANTS 72
5.6.4 THREAT OF SUBSTITUTES 72
5.6.5 INTENSITY OF COMPETITIVE RIVALRY 72
5.7 KEY STAKEHOLDERS AND BUYING CRITERIA 73
5.7.1 KEY STAKEHOLDERS IN BUYING PROCESS 73
5.7.2 BUYING CRITERIA 74
5.8 CASE STUDY ANALYSIS 75
5.8.1 EASTMAN CHEMICAL COMPANY TRANSFORMS EQUIPMENT MONITORING WITH AI-DRIVEN RELIABILITY PROGRAM OFFERED BY GE VERNOVA 75
5.8.2 HARTING TECHNOLOGY GROUP ACCELERATES CONNECTOR DESIGN WITH AI-POWERED ENGINEERING FROM MICROSOFT AND SIEMENS 76
5.8.3 RENISHAW PLC IMPROVES PRECISION AND REDUCES SCRAP USING NX CAM SOFTWARE OF SIEMENS 76
5.8.4 MITSUBISHI MOTORS CORPORATION TRANSFORMS OPERATIONS WITH
IBM FOR MORE EFFICIENT AND AGILE FUTURE 77
5.8.5 SHELL ACHIEVES OPERATIONAL EXCELLENCE AND SCALABILITY IN PREDICTIVE MAINTENANCE WITH AI SOLUTIONS OFFERED BY
MICROSOFT AND C3.AI 78
5.9 TECHNOLOGY ANALYSIS 78
5.9.1 KEY TECHNOLOGIES 78
5.9.1.1 Reinforcement learning 78
5.9.1.2 Augmented reality, virtual reality, and mixed reality 79
5.9.2 COMPLEMENTARY TECHNOLOGIES 79
5.9.2.1 Internet of Things (IoT) 79
5.9.2.2 Edge computing 80
5.9.3 ADJACENT TECHNOLOGIES 80
5.9.3.1 Additive manufacturing 80
5.9.3.2 Digital twin 80
5.10 PRICING ANALYSIS 81
5.10.1 AVERAGE SELLING PRICE OF PROCESSORS OFFERED BY KEY PLAYERS,
BY TYPE, 2024 81
5.10.2 PRICING RANGE OF PROCESSORS OFFERED BY KEY PLAYERS, BY TYPE, 2024 82
5.10.3 AVERAGE SELLING PRICE TREND OF GPU, BY REGION, 2021–2024 82
5.10.4 AVERAGE SELLING PRICE TREND OF FPGA, BY REGION, 2021–2024 83
5.11 INVESTMENT AND FUNDING SCENARIO 84
5.12 TRADE ANALYSIS 84
5.12.1 IMPORT SCENARIO (HS CODE 8471) 85
5.12.2 EXPORT SCENARIO (HS CODE 8471) 86
5.13 PATENT ANALYSIS 87
5.14 KEY CONFERENCES AND EVENTS, 2025–2026 90
5.15 REGULATORY LANDSCAPE 91
5.15.1 REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 91
5.16 IMPACT OF 2025 US TARIFF – OVERVIEW 92
5.16.1 INTRODUCTION 92
5.16.2 KEY TARIFF RATES 93
5.16.3 PRICE IMPACT ANALYSIS 93
5.16.4 IMPACT ON COUNTRIES/REGIONS 94
5.16.4.1 US 94
5.16.4.2 Europe 95
5.16.4.3 Asia Pacific 96
5.16.5 IMPACT ON INDUSTRIES 96
5.16.5.1 Semiconductor & electronics 96
5.16.5.2 Automotive 97
5.17 STRATEGIC ROADMAP FOR AI ADOPTION IN MANUFACTURING (2024–2030) 97
5.18 EMERGING REGIONAL HOTSPOTS 99
5.19 FUTURE OF AI IN MANUFACTURING 101
5.19.1 GENERATIVE AI AND SIMULATION-DRIVEN DESIGN 101
5.19.2 AUTONOMOUS AND COLLABORATIVE ROBOTICS 101
5.19.3 DIGITAL TWINS AND AI-DRIVEN FACTORY PLANNING 102
5.19.4 AI-DRIVEN SUSTAINABILITY AND ENERGY EFFICIENCY 102
5.19.5 SCALING AI ACROSS MANUFACTURING ECOSYSTEM 102
6 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING 103
6.1 INTRODUCTION 104
6.2 HARDWARE 106
6.2.1 PROCESSORS 107
6.2.1.1 Rising need for faster and more energy-efficient computation to boost demand 107
6.2.1.2 Microprocessor units (MPUs) 107
6.2.1.3 Graphics processing units (GPUs) 108
6.2.1.4 Field programmable gate arrays (FPGAs) 108
6.2.1.5 Application-specific integrated circuits (ASICs) 108
6.2.2 MEMORY DEVICES 109
6.2.2.1 Increasing significance of real-time decision-making in
automated manufacturing processes to accelerate demand 109
6.2.3 NETWORK DEVICES 109
6.2.3.1 Elevating demand for Ethernet adaptors and interconnects to
create opportunities 109
6.3 SOFTWARE 110
6.3.1 AI SOLUTIONS 111
6.3.1.1 Rising focus on enhancing efficiency, quality, and flexibility on
factory floor to drive segmental growth 111
6.3.1.2 On-premises 111
6.3.1.2.1 Greater flexibility and control to fuel segmental growth 111
6.3.1.3 Cloud-based 112
6.3.1.3.1 Lower operational costs, hassle-free deployment,
and high scalability to foster segmental growth 112
6.3.2 AI PLATFORMS 112
6.3.2.1 Machine learning framework 113
6.3.2.1.1 Emphasis on enhancing distributed training for
large-scale manufacturing applications to spike demand 113
6.3.2.2 Application programming interface 113
6.3.2.2.1 Ability to enable seamless communication between
AI-driven analytics tools and factory floor machinery to
spur demand 113
6.4 SERVICES 114
6.4.1 DEPLOYMENT & INTEGRATION 115
6.4.1.1 Escalating adoption of AI technology by manufacturing firms to drive market 115
6.4.2 SUPPORT & MAINTENANCE 115
6.4.2.1 Rising focus on maximizing uptime and ensuring peak
performance to fuel market growth 115
7 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY 116
7.1 INTRODUCTION 117
7.2 MACHINE LEARNING 118
7.2.1 DEEP LEARNING 120
7.2.1.1 Rising adoption of IIoT, machine vision, and robotics across industries to create opportunities 120
7.2.2 SUPERVISED LEARNING 121
7.2.2.1 Growing importance of quality assurance, inventory planning,
and predictive maintenance to spike demand 121
7.2.3 REINFORCEMENT LEARNING 121
7.2.3.1 Potential to automatically determine context-specific ideal
behavior to maximize performance to drive segmental growth 121
7.2.4 UNSUPERVISED LEARNING 122
7.2.4.1 Ability to detect real-time anomalies in complex,
multi-step manufacturing environments to boost demand 122
7.2.5 OTHERS 122
7.3 NATURAL LANGUAGE PROCESSING 122
7.3.1 POTENTIAL TO TRANSFORM DOMAIN-SPECIFIC TEXT INTO
ACTIONABLE KNOWLEDGE TO SPUR DEMAND 122
7.4 CONTEXT-AWARE COMPUTING 124
7.4.1 COMPETENCE TO EMPOWER NEXT-GENERATION SMART DEVICES TO ACCELERATE ADOPTION 124
7.5 COMPUTER VISION 126
7.5.1 ABILITY TO ENHANCE INDUSTRIAL EFFICIENCY TO FUEL SEGMENTAL GROWTH 126
7.6 GENERATIVE AI 127
7.6.1 SCALING DEPLOYMENT TO ENHANCE PRODUCTION EFFICIENCY TO
FUEL MARKET GROWTH 127
8 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION 129
8.1 INTRODUCTION 130
8.2 INVENTORY OPTIMIZATION 132
8.2.1 GROWING FOCUS ON ACHIEVING COST EFFICIENCY AND
SUPPLY CHAIN RESILIENCE TO STIMULATE DEMAND 132
8.3 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION 133
8.3.1 POTENTIAL TO MAXIMIZE EQUIPMENT UPTIME AND REDUCE
OPERATIONAL COSTS TO DRIVE ADOPTION 133
8.4 PRODUCTION PLANNING 134
8.4.1 PRESSING NEED TO STAY COMPETITIVE IN DYNAMIC GLOBAL MARKET
TO FUEL IMPLEMENTATION 134
8.5 FIELD SERVICES 135
8.5.1 NECESSITY TO OPTIMIZE WORKFORCE DEPLOYMENT AND TRACK ASSET HEALTH TO FUEL SEGMENTAL GROWTH 135
8.6 RECLAMATION 136
8.6.1 STRINGENT QUALITY STANDARDS AND SIGNIFICANT FOCUS
ON WASTE REDUCTION TO DRIVE MARKET 136
8.7 QUALITY CONTROL 137
8.7.1 INCREASING USE OF AI-POWERED QUALITY CONTROL SYSTEMS
BY PHARMACEUTICAL AND FOOD & BEVERAGE COMPANIES TO
ACCELERATE MARKET GROWTH 137
8.8 CYBERSECURITY 139
8.8.1 CAPABILITY TO SECURE DIGITAL ASSETS AND ENSURE UNINTERRUPTED OPERATIONS TO FOSTER SEGMENTAL GROWTH 139
8.9 INDUSTRIAL ROBOTS 140
8.9.1 SEAMLESS INTEGRATION OF AI INTO INDUSTRIAL ROBOTS TO DRIVE MARKET 140
9 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY 142
9.1 INTRODUCTION 143
9.2 AUTOMOTIVE 145
9.2.1 ELEVATING DEPLOYMENT OF AI-POWERED CAMERA-BASED
AUTONOMOUS DRIVING SOLUTIONS TO PROPEL MARKET 145
9.3 ENERGY & POWER 149
9.3.1 NEED TO SYNCHRONIZE PRODUCTION SCHEDULES AND QUALITY
CONTROL ACROSS ENERGY ASSETS TO BOOST ADOPTION 149
9.4 PHARMACEUTICALS 153
9.4.1 NECESSITY TO MAINTAIN CONSISTENT PRODUCT QUALITY TO
STIMULATE DEMAND 153
9.5 METALS & HEAVY MACHINERY 158
9.5.1 ESCALATING NEED TO MONITOR HEAT, SOUND, LIGHT, ODOR, AND VIBRATIONS IN METALS AND HEAVY MACHINERY TO PUSH DEMAND 158
9.6 SEMICONDUCTOR & ELECTRONICS 162
9.6.1 PRESSING NEED TO SCALE UP PRODUCTION WHILE MAINTAINING
QUALITY TO ACCELERATE DEMAND 162
9.7 FOOD & BEVERAGES 166
9.7.1 GROWING ADOPTION OF AUTOMATION TO MAINTAIN HYGIENIC
FOOD PROCESSING SOLUTIONS TO FUEL MARKET GROWTH 166
9.8 OTHER INDUSTRIES 171
10 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION 176
10.1 INTRODUCTION 177
10.2 NORTH AMERICA 179
10.2.1 MICROECONOMIC OUTLOOK FOR NORTH AMERICA 179
10.2.2 US 182
10.2.2.1 Private investments in AI manufacturing infrastructure
development to accelerate market growth 182
10.2.3 CANADA 183
10.2.3.1 Strategic alignment of public–private investments to integrate
AI into manufacturing to fuel market growth 183
10.2.4 MEXICO 184
10.2.4.1 Rapid expansion of AI startup ecosystem to foster market growth 184
10.3 EUROPE 186
10.3.1 MICROECONOMIC OUTLOOK FOR EUROPE 186
10.3.2 GERMANY 189
10.3.2.1 Integration of big data technologies within factories and rise in AI startups to support market growth 189
10.3.3 UK 191
10.3.3.1 Launch of AI Opportunities Action Plan to contribute to market growth 191
10.3.4 FRANCE 192
10.3.4.1 Substantial investment in AI and cloud technologies, along with data center expansion, to expedite market growth 192
10.3.5 ITALY 193
10.3.5.1 Emphasis on cultivating skilled professionals in AI technologies to facilitate market growth 193
10.3.6 POLAND 195
10.3.6.1 Influx of capital to foster AI innovation and research to promote market growth 195
10.3.7 SPAIN 196
10.3.7.1 Rapid digital transformation to optimize production and improve quality control to create growth opportunities 196
10.3.8 NORDIC 197
10.3.8.1 Significant investments in digital infrastructure and talent development to fuel market growth 197
10.3.9 REST OF EUROPE 199
10.4 ASIA PACIFIC 200
10.4.1 CHINA 203
10.4.1.1 Rapid expansion of smart factories to accelerate market growth 203
10.4.2 JAPAN 205
10.4.2.1 Development of advanced large language models, industrial AI platforms, and robotics solutions for meeting factory needs to drive demand 205
10.4.3 SOUTH KOREA 206
10.4.3.1 Significant focus on development of humanoid robots to spike demand 206
10.4.4 INDIA 207
10.4.4.1 Shift from AI pilot projects to full-scale integration in industrial plants to create opportunities 207
10.4.5 AUSTRALIA 209
10.4.5.1 Public–private partnerships, infrastructure upgrades, and government initiatives in the AI space to expedite market expansion 209
10.4.6 MALAYSIA 210
10.4.6.1 High focus on building AI startups and expanding AI chip production to create opportunities 210
10.4.7 THAILAND 211
10.4.7.1 Smart factory pilot programs to boost demand 211
10.4.8 INDONESIA 213
10.4.8.1 Surging adoption of Industry 4.0 across manufacturing firms to promote market growth 213
10.4.9 VIETNAM 214
10.4.9.1 Smart factor programs and large-scale infrastructure products to create growth opportunities 214
10.4.10 REST OF ASIA PACIFIC 215
10.5 ROW 217
10.5.1 MIDDLE EAST 219
10.5.1.1 Saudi Arabia 220
10.5.1.1.1 Heavy investments in AI and talent development to
support market growth 220
10.5.1.2 UAE 221
10.5.1.2.1 Strategic partnership with academia to create
AI talent pipeline to contribute to market growth 221
10.5.1.3 Qatar 221
10.5.1.3.1 Adoption of eco-friendly manufacturing practices and energy-efficient technologies to boost demand 221
10.5.1.4 Kuwait 221
10.5.1.4.1 Rise of AI-driven manufacturing for predictive maintenance and real-time monitoring in oil field production to fuel market growth 221
10.5.1.5 Oman 221
10.5.1.5.1 Involvement of startups in developing AI solutions addressing local manufacturing challenges to spur demand 221
10.5.1.6 Bahrain 222
10.5.1.6.1 Foreign direct investment in AI technologies to
support market growth 222
10.5.1.7 Rest of Middle East 222
10.5.2 AFRICA 223
10.5.2.1 South Africa 224
10.5.2.1.1 Significant AI investment focused on innovation, startup support, and workforce development to drive market 224
10.5.2.2 Other African countries 224
10.5.3 SOUTH AMERICA 225
10.5.3.1 Brazil 226
10.5.3.1.1 Funding toward high-performance computing, national data centers, and startup support to favor market expansion 226
10.5.3.2 Argentina 227
10.5.3.2.1 Collaborative technology transfer programs to
support market growth 227
10.5.3.3 Rest of South America 227
11 COMPETITIVE LANDSCAPE 228
11.1 OVERVIEW 228
11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2023–2025 228
11.3 REVENUE ANALYSIS, 2020–2024 231
11.4 MARKET SHARE ANALYSIS, 2024 232
11.5 COMPANY VALUATION AND FINANCIAL METRICS 234
11.6 BRAND COMPARISON 235
11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024 236
11.7.1 STARS 236
11.7.2 EMERGING LEADERS 236
11.7.3 PERVASIVE PLAYERS 236
11.7.4 PARTICIPANTS 236
11.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024 238
11.7.5.1 Company footprint 238
11.7.5.2 Region footprint 239
11.7.5.3 Industry footprint 239
11.7.5.4 Offering footprint 240
11.7.5.5 Technology footprint 241
11.7.5.6 Application footprint 241
11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024 242
11.8.1 PROGRESSIVE COMPANIES 242
11.8.2 RESPONSIVE COMPANIES 242
11.8.3 DYNAMIC COMPANIES 242
11.8.4 STARTING BLOCKS 243
11.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024 244
11.8.5.1 Detailed list of key startup/SMEs 244
11.8.5.2 Competitive benchmarking of key startup/SMEs 245
11.9 COMPETITIVE SCENARIO 246
11.9.1 PRODUCT LAUNCHES 246
11.9.2 DEALS 250
11.9.3 EXPANSIONS 257
12 COMPANY PROFILES 258
12.1 KEY PLAYERS 258
12.1.1 NVIDIA CORPORATION 258
12.1.1.1 Business overview 258
12.1.1.2 Products/Solutions/Services offered 260
12.1.1.3 Recent developments 260
12.1.1.3.1 Product launches 260
12.1.1.3.2 Deals 261
12.1.1.4 MnM view 263
12.1.1.4.1 Key strengths/Right to win 263
12.1.1.4.2 Strategic choices 263
12.1.1.4.3 Weaknesses/Competitive threats 263
12.1.2 IBM 264
12.1.2.1 Business overview 264
12.1.2.2 Products/Solutions/Services offered 265
12.1.2.3 Recent developments 266
12.1.2.3.1 Product launches 266
12.1.2.3.2 Deals 267
12.1.2.4 MNM view 269
12.1.2.4.1 Key strengths/Right to win 269
12.1.2.4.2 Strategic choices 269
12.1.2.4.3 Weaknesses/Competitive threats 269
12.1.3 SIEMENS 270
12.1.3.1 Business overview 270
12.1.3.2 Products/Solutions/Services offered 271
12.1.3.3 Recent developments 272
12.1.3.3.1 Product launches 272
12.1.3.3.2 Deals 273
12.1.3.4 MNM view 274
12.1.3.4.1 Key strengths/Right to win 274
12.1.3.4.2 Strategic choices 274
12.1.3.4.3 Weaknesses/Competitive threats 274
12.1.4 ABB 275
12.1.4.1 Business overview 275
12.1.4.2 Products/Solutions/Services offered 276
12.1.4.3 Recent developments 277
12.1.4.3.1 Deals 277
12.1.4.4 MnM view 277
12.1.4.4.1 Key strengths/Right to win 277
12.1.4.4.2 Strategic choices 278
12.1.4.4.3 Weaknesses/Competitive threats 278
12.1.5 HONEYWELL INTERNATIONAL INC. 279
12.1.5.1 Business overview 279
12.1.5.2 Products/Solutions/Services offered 280
12.1.5.3 Recent developments 281
12.1.5.3.1 Product launches 281
12.1.5.4 MnM view 281
12.1.5.4.1 Key strengths/Right to win 281
12.1.5.4.2 Strategic choices 281
12.1.5.4.3 Weaknesses/Competitive threats 281
12.1.6 GE VERNOVA 282
12.1.6.1 Business overview 282
12.1.6.2 Products/Solutions/Services offered 283
12.1.6.3 Recent developments 284
12.1.6.3.1 Product launches 284
12.1.7 GOOGLE LLC 285
12.1.7.1 Business overview 285
12.1.7.2 Products/Solutions/Services offered 287
12.1.8 MICROSOFT 288
12.1.8.1 Business overview 288
12.1.8.2 Products/Solutions/Services offered 289
12.1.8.3 Recent developments 290
12.1.8.3.1 Product launches 290
12.1.8.3.2 Deals 290
12.1.8.3.3 Expansions 291
12.1.9 MICRON TECHNOLOGY, INC. 292
12.1.9.1 Business overview 292
12.1.9.2 Products/Solutions/Services offered 293
12.1.9.3 Recent developments 294
12.1.9.3.1 Product launches 294
12.1.9.3.2 Expansions 294
12.1.10 INTEL CORPORATION 295
12.1.10.1 Business overview 295
12.1.10.2 Products/Solutions/Services offered 296
12.1.10.3 Recent developments 297
12.1.10.3.1 Product launches 297
12.1.10.3.2 Deals 298
12.1.11 AMAZON WEB SERVICES, INC. 299
12.1.11.1 Business overview 299
12.1.11.2 Products/Solutions/Services offered 301
12.1.11.3 Recent developments 301
12.1.11.3.1 Product launches 301
12.1.11.3.2 Deals 302
12.1.12 ROCKWELL AUTOMATION 303
12.1.12.1 Business overview 303
12.1.12.2 Products/Solutions/Services offered 305
12.1.12.3 Recent developments 305
12.1.12.3.1 Deals 305
12.1.13 SAP SE 306
12.1.13.1 Business overview 306
12.1.13.2 Products/Solutions/Services offered 307
12.1.13.3 Recent developments 308
12.1.13.3.1 Deals 308
12.1.14 ORACLE 309
12.1.14.1 Business overview 309
12.1.14.2 Products/Solutions/Services offered 310
12.1.15 MITSUBISHI ELECTRIC CORPORATION 311
12.1.15.1 Business overview 311
12.1.15.2 Products/Solutions/Services offered 312
12.1.16 PTC 313
12.1.16.1 Business overview 313
12.1.16.2 Products/Solutions/Services offered 314
12.1.16.3 Recent developments 315
12.1.16.3.1 Product launches 315
12.1.16.3.2 Deals 315
12.1.17 SCHNEIDER ELECTRIC 316
12.1.17.1 Business overview 316
12.1.17.2 Products/Solutions/Services offered 318
12.1.17.3 Recent developments 318
12.1.17.3.1 Deals 318
12.2 OTHER PLAYERS 319
12.2.1 CISCO SYSTEMS, INC. 319
12.2.2 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP 320
12.2.3 DASSAULT SYSTÈMES 321
12.2.4 PROGRESS SOFTWARE CORPORATION 322
12.2.5 ZEBRA TECHNOLOGIES CORP. 323
12.2.6 UBTECH ROBOTICS CORP LTD 324
12.2.7 AQUANT 324
12.2.8 BRIGHT MACHINES, INC. 325
12.2.9 AVATHON 326
12.2.10 SIGHT MACHINE 327
13 APPENDIX 328
13.1 DISCUSSION GUIDE 328
13.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 331
13.3 CUSTOMIZATION OPTIONS 333
13.4 RELATED REPORTS 333
13.5 AUTHOR DETAILS 334
LIST OF TABLES
TABLE 1 INCLUSIONS AND EXCLUSIONS IN ARTIFICIAL INTELLIGENCE IN
MANUFACTURING MARKET REPORT 33
TABLE 2 ROLE OF COMPANIES IN ECOSYSTEM 68
TABLE 3 IMPACT OF EACH FORCE ON ARTIFICIAL INTELLIGENCE IN
MANUFACTURING MARKET 71
TABLE 4 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR
TOP 3 APPLICATIONS (%) 73
TABLE 5 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS 74
TABLE 6 PRICING RANGE OF PROCESSOR TYPES OFFERED BY KEY PLAYERS, 2024 (USD) 82
TABLE 7 AVERAGE SELLING PRICE TREND OF GPU, BY REGION, 2021–2024 (USD) 82
TABLE 8 AVERAGE SELLING PRICE TREND OF FPGA, BY REGION, 2021–2024 (USD) 83
TABLE 9 IMPORT DATA FOR HS CODE 8471-COMPLIANT PRODUCTS, BY COUNTRY,
2020–2024 (USD BILLION) 85
TABLE 10 EXPORT DATA FOR HS CODE 8471-COMPLIANT PRODUCTS, BY COUNTRY,
2020–2024 (USD BILLION) 86
TABLE 11 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET:
INNOVATIONS AND PATENT REGISTRATIONS, 2023–2024 88
TABLE 12 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET:
CONFERENCES AND EVENTS 90
TABLE 13 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 91
TABLE 14 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 91
TABLE 15 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 92
TABLE 16 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 92
TABLE 17 US-ADJUSTED RECIPROCAL TARIFF RATES 93
TABLE 18 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING,
2021–2024 (USD MILLION) 105
TABLE 19 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING,
2025–2030 (USD MILLION) 105
TABLE 20 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY HARDWARE TYPE, 2021–2024 (USD MILLION) 106
TABLE 21 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY HARDWARE TYPE, 2025–2030 (USD MILLION) 106
TABLE 22 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY SOFTWARE TYPE, 2021–2024 (USD MILLION) 110
TABLE 23 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY SOFTWARE TYPE, 2025–2030 (USD MILLION) 110
TABLE 24 AI SOLUTIONS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY DEPLOYMENT TYPE, 2021–2024 (USD MILLION) 111
TABLE 25 AI SOLUTIONS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY DEPLOYMENT TYPE, 2025–2030 (USD MILLION) 111
TABLE 26 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY AI PLATFORM TYPE, 2021–2024 (USD MILLION) 112
TABLE 27 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY AI PLATFORM TYPE, 2025–2030 (USD MILLION) 113
TABLE 28 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY SERVICE TYPE,
2021–2024 (USD MILLION) 114
TABLE 29 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY SERVICE TYPE,
2025–2030 (USD MILLION) 114
TABLE 30 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY,
2021–2024 (USD MILLION) 118
TABLE 31 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY,
2025–2030 (USD MILLION) 118
TABLE 32 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY MACHINE LEARNING TYPE, 2021–2024 (USD MILLION) 119
TABLE 33 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY MACHINE LEARNING TYPE, 2025–2030 (USD MILLION) 119
TABLE 34 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY APPLICATION, 2021–2024 (USD MILLION) 119
TABLE 35 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY APPLICATION, 2025–2030 (USD MILLION) 120
TABLE 36 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN
MANUFACTURING MARKET, BY APPLICATION, 2021–2024 (USD MILLION) 123
TABLE 37 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN
MANUFACTURING MARKET, BY APPLICATION, 2025–2030 (USD MILLION) 123
TABLE 38 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY CONTEXT-AWARE COMPUTING TYPE, 2021–2024 (USD MILLION) 124
TABLE 39 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY CONTEXT-AWARE COMPUTING TYPE, 2025–2030 (USD MILLION) 125
TABLE 40 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2021–2024 (USD MILLION) 125
TABLE 41 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2025–2030 (USD MILLION) 125
TABLE 42 COMPUTER VISION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY APPLICATION, 2021–2024 (USD MILLION) 126
TABLE 43 COMPUTER VISION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY APPLICATION, 2025–2030 (USD MILLION) 127
TABLE 44 GENERATIVE AI: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY APPLICATION, 2021–2024 (USD MILLION) 128
TABLE 45 GENERATIVE AI: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY APPLICATION, 2025–2030 (USD MILLION) 128
TABLE 46 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION,
2021–2024 (USD MILLION) 131
TABLE 47 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION,
2025–2030 (USD MILLION) 131
TABLE 48 INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 132
TABLE 49 INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 133
TABLE 50 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 133
TABLE 51 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING, BY TECHNOLOGY, 2025–2030 (USD MILLION) 134
TABLE 52 PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 135
TABLE 53 PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 135
TABLE 54 FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY TECHNOLOGY, 2021–2024 (USD MILLION) 136
TABLE 55 FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY TECHNOLOGY, 2025–2030 (USD MILLION) 136
TABLE 56 RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY TECHNOLOGY, 2021–2024 (USD MILLION) 137
TABLE 57 RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY TECHNOLOGY, 2025–2030 (USD MILLION) 137
TABLE 58 QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY TECHNOLOGY, 2021–2024 (USD MILLION) 138
TABLE 59 QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY TECHNOLOGY, 2025–2030 (USD MILLION) 138
TABLE 60 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY TECHNOLOGY, 2021–2024 (USD MILLION) 139
TABLE 61 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY TECHNOLOGY, 2025–2030 (USD MILLION) 140
TABLE 62 INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY TECHNOLOGY, 2021–2024 (USD MILLION) 141
TABLE 63 INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY TECHNOLOGY, 2025–2030 (USD MILLION) 141
TABLE 64 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY,
2021–2024 (USD MILLION) 144
TABLE 65 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY,
2025–2030 (USD MILLION) 144
TABLE 66 AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY REGION, 2021–2024 (USD MILLION) 145
TABLE 67 AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY REGION, 2025–2030 (USD MILLION) 146
TABLE 68 AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN
NORTH AMERICA, BY COUNTRY, 2021–2024 (USD MILLION) 146
TABLE 69 AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN
NORTH AMERICA, BY COUNTRY, 2025–2030 (USD MILLION) 146
TABLE 70 AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2021–2024 (USD MILLION) 147
TABLE 71 AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2025–2030 (USD MILLION) 147
TABLE 72 AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN
ASIA PACIFIC, BY COUNTRY, 2021–2024 (USD MILLION) 148
TABLE 73 AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN
ASIA PACIFIC, BY COUNTRY, 2025–2030 (USD MILLION) 148
TABLE 74 AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW,
BY REGION, 2021–2024 (USD MILLION) 149
TABLE 75 AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW,
BY REGION, 2025–2030 (USD MILLION) 149
TABLE 76 ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY REGION, 2021–2024 (USD MILLION) 150
TABLE 77 ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY REGION, 2025–2030 (USD MILLION) 150
TABLE 78 ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2021–2024 (USD MILLION) 150
TABLE 79 ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2025–2030 (USD MILLION) 151
TABLE 80 ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2021–2024 (USD MILLION) 151
TABLE 81 ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2025–2030 (USD MILLION) 151
TABLE 82 ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2021–2024 (USD MILLION) 152
TABLE 83 ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2025–2030 (USD MILLION) 152
TABLE 84 ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2021–2024 (USD MILLION) 153
TABLE 85 ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2025–2030 (USD MILLION) 153
TABLE 86 PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY REGION, 2021–2024 (USD MILLION) 154
TABLE 87 PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY REGION, 2025–2030 (USD MILLION) 154
TABLE 88 PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2021–2024 (USD MILLION) 155
TABLE 89 PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2025–2030 (USD MILLION) 155
TABLE 90 PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2021–2024 (USD MILLION) 155
TABLE 91 PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2025–2030 (USD MILLION) 156
TABLE 92 PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2021–2024 (USD MILLION) 156
TABLE 93 PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2025–2030 (USD MILLION) 157
TABLE 94 PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2021–2024 (USD MILLION) 157
TABLE 95 PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2025–2030 (USD MILLION) 158
TABLE 96 METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2021–2024 (USD MILLION) 159
TABLE 97 METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2025–2030 (USD MILLION) 159
TABLE 98 METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2021–2024 (USD MILLION) 159
TABLE 99 METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2025–2030 (USD MILLION) 159
TABLE 100 METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2021–2024 (USD MILLION) 160
TABLE 101 METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2025–2030 (USD MILLION) 160
TABLE 102 METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2021–2024 (USD MILLION) 161
TABLE 103 METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2025–2030 (USD MILLION) 161
TABLE 104 METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2021–2024 (USD MILLION) 162
TABLE 105 METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2025–2030 (USD MILLION) 162
TABLE 106 SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2021–2024 (USD MILLION) 163
TABLE 107 SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2025–2030 (USD MILLION) 163
TABLE 108 SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2021–2024 (USD MILLION) 163
TABLE 109 SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2025–2030 (USD MILLION) 164
TABLE 110 SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2021–2024 (USD MILLION) 164
TABLE 111 SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2025–2030 (USD MILLION) 164
TABLE 112 SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2021–2024 (USD MILLION) 165
TABLE 113 SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2025–2030 (USD MILLION) 165
TABLE 114 SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2021–2024 (USD MILLION) 166
TABLE 115 SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2025–2030 (USD MILLION) 166
TABLE 116 FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY REGION, 2021–2024 (USD MILLION) 167
TABLE 117 FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY REGION, 2025–2030 (USD MILLION) 167
TABLE 118 FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2021–2024 (USD MILLION) 168
TABLE 119 FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2025–2030 (USD MILLION) 168
TABLE 120 FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2021–2024 (USD MILLION) 168
TABLE 121 FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2025–2030 (USD MILLION) 169
TABLE 122 FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2021–2024 (USD MILLION) 169
TABLE 123 FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2025–2030 (USD MILLION) 170
TABLE 124 FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2021–2024 (USD MILLION) 170
TABLE 125 FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2025–2030 (USD MILLION) 170
TABLE 126 OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY REGION, 2021–2024 (USD MILLION) 171
TABLE 127 OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY REGION, 2025–2030 (USD MILLION) 172
TABLE 128 OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2021–2024 (USD MILLION) 172
TABLE 129 OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2025–2030 (USD MILLION) 172
TABLE 130 OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2021–2024 (USD MILLION) 173
TABLE 131 OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2025–2030 (USD MILLION) 173
TABLE 132 OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2021–2024 (USD MILLION) 174
TABLE 133 OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2025–2030 (USD MILLION) 174
TABLE 134 OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2021–2024 (USD MILLION) 175
TABLE 135 OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2025–2030 (USD MILLION) 175
TABLE 136 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION,
2021–2024 (USD MILLION) 178
TABLE 137 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION,
2025–2030 (USD MILLION) 178
TABLE 138 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY COUNTRY, 2021–2024 (USD MILLION) 180
TABLE 139 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY COUNTRY, 2025–2030 (USD MILLION) 181
TABLE 140 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY INDUSTRY, 2021–2024 (USD MILLION) 181
TABLE 141 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY INDUSTRY, 2025–2030 (USD MILLION) 181
TABLE 142 US: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY,
2021–2024 (USD MILLION) 182
TABLE 143 US: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY,
2025–2030 (USD MILLION) 183
TABLE 144 CANADA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION) 184
TABLE 145 CANADA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION) 184
TABLE 146 MEXICO: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION) 185
TABLE 147 MEXICO: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION) 185
TABLE 148 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2021–2024 (USD MILLION) 188
TABLE 149 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 188
TABLE 150 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION) 189
TABLE 151 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION) 189
TABLE 152 GERMANY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION) 190
TABLE 153 GERMANY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION) 190
TABLE 154 UK: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY,
2021–2024 (USD MILLION) 191
TABLE 155 UK: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY,
2025–2030 (USD MILLION) 192
TABLE 156 FRANCE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION) 193
TABLE 157 FRANCE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION) 193
TABLE 158 ITALY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION) 194
TABLE 159 ITALY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION) 194
TABLE 160 POLAND: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION) 195
TABLE 161 POLAND: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION) 196
TABLE 162 SPAIN: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION) 197
TABLE 163 SPAIN: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION) 197
TABLE 164 NORDIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION) 198
TABLE 165 NORDIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION) 198
TABLE 166 REST OF EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY INDUSTRY, 2021–2024 (USD MILLION) 199
TABLE 167 REST OF EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY INDUSTRY, 2025–2030 (USD MILLION) 200
TABLE 168 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY COUNTRY, 2021–2024 (USD MILLION) 202
TABLE 169 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY COUNTRY, 2025–2030 (USD MILLION) 202
TABLE 170 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY INDUSTRY, 2021–2024 (USD MILLION) 203
TABLE 171 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY INDUSTRY, 2025–2030 (USD MILLION) 203
TABLE 172 CHINA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION) 204
TABLE 173 CHINA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION) 204
TABLE 174 JAPAN: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION) 205
TABLE 175 JAPAN: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION) 206
TABLE 176 SOUTH KOREA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY INDUSTRY, 2021–2024 (USD MILLION) 207
TABLE 177 SOUTH KOREA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY INDUSTRY, 2025–2030 (USD MILLION) 207
TABLE 178 INDIA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION) 208
TABLE 179 INDIA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION) 208
TABLE 180 AUSTRALIA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY INDUSTRY, 2021–2024 (USD MILLION) 209
TABLE 181 AUSTRALIA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY INDUSTRY, 2025–2030 (USD MILLION) 210
TABLE 182 MALAYSIA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION) 211
TABLE 183 MALAYSIA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION) 211
TABLE 184 THAILAND: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION) 212
TABLE 185 THAILAND: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION) 212
TABLE 186 INDONESIA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY INDUSTRY, 2021–2024 (USD MILLION) 213
TABLE 187 INDONESIA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY INDUSTRY, 2025–2030 (USD MILLION) 214
TABLE 188 VIETNAM: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION) 215
TABLE 189 VIETNEM: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION) 215
TABLE 190 REST OF ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY INDUSTRY, 2021–2024 (USD MILLION) 216
TABLE 191 REST OF ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY INDUSTRY, 2025–2030 (USD MILLION) 217
TABLE 192 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION,
2021–2024 (USD MILLION) 217
TABLE 193 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION,
2025–2030 (USD MILLION) 218
TABLE 194 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION) 218
TABLE 195 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION) 218
TABLE 196 MIDDLE EAST: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY COUNTRY, 2021–2024 (USD MILLION) 219
TABLE 197 MIDDLE EAST: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY COUNTRY, 2025–2030 (USD MILLION) 219
TABLE 198 MIDDLE EAST: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY INDUSTRY, 2021–2024 (USD MILLION) 220
TABLE 199 MIDDLE EAST: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY INDUSTRY, 2025–2030 (USD MILLION) 220
TABLE 200 AFRICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2021–2024 (USD MILLION) 223
TABLE 201 AFRICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 223
TABLE 202 AFRICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION) 223
TABLE 203 AFRICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION) 224
TABLE 204 SOUTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY COUNTRY, 2021–2024 (USD MILLION) 225
TABLE 205 SOUTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY COUNTRY, 2025–2030 (USD MILLION) 225
TABLE 206 SOUTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY INDUSTRY, 2021–2024 (USD MILLION) 226
TABLE 207 SOUTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET,
BY INDUSTRY, 2025–2030 (USD MILLION) 226
TABLE 208 OVERVIEW OF STRATEGIES ADOPTED BY AI SOLUTION/SERVICE PROVIDERS, JANUARY 2023–JULY 2025 228
TABLE 209 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE ANALYSIS, 2024 232
TABLE 210 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: REGION FOOTPRINT 239
TABLE 211 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: INDUSTRY FOOTPRINT 239
TABLE 212 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: OFFERING FOOTPRINT 240
TABLE 213 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: TECHNOLOGY FOOTPRINT 241
TABLE 214 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: APPLICATION FOOTPRINT 241
TABLE 215 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET:
LIST OF KEY STARTUPS/SMES 244
TABLE 216 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET:
COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES 245
TABLE 217 ARTIFICIAL INTELLIGENCE IN INTELLIGENCE MARKET:
PRODUCT LAUNCHES, JANUARY 2023–JULY 2025 246
TABLE 218 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET:
DEALS, JANUARY 2023–JULY 2025 250
TABLE 219 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET:
EXPANSIONS, JANUARY 2023–JULY 2025 257
TABLE 220 NVIDIA CORPORATION: COMPANY OVERVIEW 258
TABLE 221 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED 260
TABLE 222 NVIDIA CORPORATION: PRODUCT LAUNCHES 260
TABLE 223 NVIDIA CORPORATION: DEALS 261
TABLE 224 IBM: COMPANY OVERVIEW 264
TABLE 225 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED 265
TABLE 226 IBM: PRODUCT LAUNCHES 266
TABLE 227 IBM: DEALS 267
TABLE 228 SIEMENS: COMPANY OVERVIEW 270
TABLE 229 SIEMENS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 271
TABLE 230 SIEMENS: PRODUCT LAUNCHES 272
TABLE 231 SIEMENS: DEALS 273
TABLE 232 ABB: BUSINESS OVERVIEW 275
TABLE 233 ABB: PRODUCTS/SOLUTIONS/SERVICES OFFERED 276
TABLE 234 ABB: DEALS 277
TABLE 235 HONEYWELL INTERNATIONAL INC.: BUSINESS OVERVIEW 279
TABLE 236 HONEYWELL INTERNATIONAL INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 280
TABLE 237 HONEYWELL INTERNATIONAL INC.: PRODUCT LAUNCHES 281
TABLE 238 GE VERNOVA: COMPANY OVERVIEW 282
TABLE 239 GE VERNOVA: PRODUCTS/SOLUTIONS/SERVICES OFFERED 283
TABLE 240 GE VERNOVA: PRODUCT LAUNCHES 284
TABLE 241 GOOGLE LLC: COMPANY OVERVIEW 285
TABLE 242 GOOGLE LLC: PRODUCTS/SOLUTIONS/SERVICES OFFERED 287
TABLE 243 MICROSOFT: COMPANY OVERVIEW 288
TABLE 244 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED 289
TABLE 245 MICROSOFT: PRODUCT LAUNCHES 290
TABLE 246 MICROSOFT: DEALS 290
TABLE 247 MICROSOFT: EXPANSIONS 291
TABLE 248 MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW 292
TABLE 249 MICRON TECHNOLOGY, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 293
TABLE 250 MICRON TECHNOLOGY, INC.: PRODUCT LAUNCHES 294
TABLE 251 MICRON TECHNOLOGY, INC.: EXPANSIONS 294
TABLE 252 INTEL CORPORATION: COMPANY OVERVIEW 295
TABLE 253 INTEL CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED 296
TABLE 254 INTEL CORPORATION: PRODUCT LAUNCHES 297
TABLE 255 INTEL CORPORATION: DEALS 298
TABLE 256 AMAZON WEB SERVICES, INC.: COMPANY OVERVIEW 299
TABLE 257 AMAZON WEB SERVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 301
TABLE 258 AMAZON WEB SERVICES, INC.: PRODUCT LAUNCHES 301
TABLE 259 AMAZON WEB SERVICES, INC.: DEALS 302
TABLE 260 ROCKWELL AUTOMATION: BUSINESS OVERVIEW 303
TABLE 261 ROCKWELL AUTOMATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED 305
TABLE 262 ROCKWELL AUTOMATION: DEALS 305
TABLE 263 SAP SE: BUSINESS OVERVIEW 306
TABLE 264 SAP SE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 307
TABLE 265 SAP SE: DEALS 308
TABLE 266 ORACLE: BUSINESS OVERVIEW 309
TABLE 267 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 310
TABLE 268 MITSUBISHI ELECTRIC CORPORATION: BUSINESS OVERVIEW 311
TABLE 269 MITSUBISHI ELECTRIC CORPORATION:
PRODUCTS/SOLUTIONS/SERVICES OFFERED 312
TABLE 270 PTC: BUSINESS OVERVIEW 313
TABLE 271 PTC: PRODUCTS/SOLUTIONS/SERVICES OFFERED 314
TABLE 272 PTC: PRODUCT LAUNCHES 315
TABLE 273 PTC: DEALS 315
TABLE 274 SCHNEIDER ELECTRIC: BUSINESS OVERVIEW 316
TABLE 275 SCHNEIDER ELECTRIC: PRODUCTS/SOLUTIONS/SERVICES OFFERED 318
TABLE 276 SCHNEIDER ELECTRIC: DEALS 318
TABLE 277 CISCO SYSTEMS, INC.: COMPANY OVERVIEW 319
TABLE 278 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: COMPANY OVERVIEW 320
TABLE 279 DASSAULT SYSTÈMES: COMPANY OVERVIEW 321
TABLE 280 PROGRESS SOFTWARE CORPORATION: COMPANY OVERVIEW 322
TABLE 281 ZEBRA TECHNOLOGIES CORP.: COMPANY OVERVIEW 323
TABLE 282 UBTECH ROBOTICS CORP LTD: COMPANY OVERVIEW 324
TABLE 283 AQUANT: COMPANY OVERVIEW 324
TABLE 284 BRIGHT MACHINES, INC.: COMPANY OVERVIEW 325
TABLE 285 AVATHON: COMPANY OVERVIEW 326
TABLE 286 SIGHT MACHINE: COMPANY OVERVIEW 327
LIST OF FIGURES
FIGURE 1 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SEGMENTATION
AND REGIONAL SCOPE 32
FIGURE 2 DURATION COVERED 33
FIGURE 3 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: RESEARCH DESIGN 37
FIGURE 4 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: RESEARCH APPROACH 38
FIGURE 5 BOTTOM-UP APPROACH 44
FIGURE 6 TOP-DOWN APPROACH 44
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: (DEMAND SIDE)
REVENUE GENERATED BY COMPANIES IN ARTIFICIAL INTELLIGENCE
IN MANUFACTURING MARKET 45
FIGURE 8 DATA TRIANGULATION METHODOLOGY 46
FIGURE 9 SOFTWARE OFFERINGS TO CAPTURE PROMINENT MARKET SHARE IN 2030 50
FIGURE 10 GENERATIVE AI TECHNOLOGY TO REGISTER HIGHEST CAGR
DURING FORECAST PERIOD 50
FIGURE 11 AUTOMOTIVE INDUSTRY TO CAPTURE MAJORITY OF MARKET SHARE IN 20230 51
FIGURE 12 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION APPLICATIONS TO
SECURE LARGEST MARKET SHARE IN 2030 52
FIGURE 13 NORTH AMERICA ACCOUNTED FOR LARGEST MARKET SHARE IN 2024 53
FIGURE 14 RISING ADOPTION OF AI SOLUTIONS BY MANUFACTURING FIRMS
TO FUEL MARKET GROWTH 54
FIGURE 15 SOFTWARE SEGMENT TO LEAD ARTIFICIAL INTELLIGENCE IN
MANUFACTURING MARKET IN 2025 54
FIGURE 16 MACHINE LEARNING SEGMENT TO SECURE LARGEST MARKET SHARE IN 2025 55
FIGURE 17 AUTOMOTIVE SEGMENT TO CAPTURE LARGEST MARKET SHARE IN 2025 55
FIGURE 18 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION SEGMENT TO
COMMAND MARKET IN 2025 56
FIGURE 19 CHINA TO RECORD HIGHEST CAGR IN GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET FROM 2025 TO 2030 56
FIGURE 20 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET DYNAMICS 58
FIGURE 21 IMPACT ANALYSIS OF DRIVERS 60
FIGURE 22 IMPACT ANALYSIS OF RESTRAINTS 61
FIGURE 23 IMPACT ANALYSIS OF OPPORTUNITIES 62
FIGURE 24 IMPACT ANALYSIS OF CHALLENGES 64
FIGURE 25 ARTIFICIAL INTELLIGENCE IN MANUFACTURING VALUE CHAIN ANALYSIS 65
FIGURE 26 ECOSYSTEM OF AI IN MANUFACTURING 67
FIGURE 27 TRENDS/DISRUPTIONS INFLUENCING CUSTOMER BUSINESS 69
FIGURE 28 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET:
PORTER’S FIVE FORCES ANALYSIS 70
FIGURE 29 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS 73
FIGURE 30 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS 74
FIGURE 31 AVERAGE SELLING PRICE OF PROCESSORS PROVIDED
BY KEY PLAYERS, BY TYPE, 2024 81
FIGURE 32 AVERAGE SELLING PRICE TREND OF GPU, BY REGION, 2021–2024 82
FIGURE 33 AVERAGE SELLING PRICE TREND OF FPGA, BY REGION, 2021–2024 83
FIGURE 34 INVESTMENT AND FUNDING SCENARIO, 2020–2024 84
FIGURE 35 IMPORT SCENARIO FOR HS CODE 8471-COMPLIANT PRODUCTS IN
TOP 5 COUNTRIES, 2020–2024 85
FIGURE 36 EXPORT SCENARIO FOR HS CODE 8471-COMPLIANT PRODUCTS IN
TOP 5 COUNTRIES, 2020–2024 86
FIGURE 37 KEY PATENT APPLICANTS AND OWNERS, 2015–2024 87
FIGURE 38 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING 104
FIGURE 39 SOFTWARE SEGMENT TO HOLD LARGEST SHARE OF
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2030 105
FIGURE 40 MACHINE LEARNING TECHNOLOGY TO HOLD LARGEST SHARE OF
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2030 117
FIGURE 41 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION 130
FIGURE 42 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION SEGMENT TO
HOLD LARGEST MARKET SHARE IN 2025 130
FIGURE 43 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY 143
FIGURE 44 AUTOMOTIVE INDUSTRY TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2025 143
FIGURE 45 CHINA TO BE FASTEST-GROWING ARTIFICIAL INTELLIGENCE IN
MANUFACTURING MARKET GLOBALLY DURING FORECAST PERIOD 177
FIGURE 46 NORTH AMERICA TO CAPTURE PROMINENT SHARE OF ARTIFICIAL INTELLIGENCE
IN MANUFACTURING MARKET IN 2030 178
FIGURE 47 SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN
NORTH AMERICA 180
FIGURE 48 SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE 187
FIGURE 49 SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN
ASIA PACIFIC 201
FIGURE 50 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET:
REVENUE ANALYSIS, 2020–2024 231
FIGURE 51 MARKET SHARE ANALYSIS, 2024 232
FIGURE 52 COMPANY VALUATION 234
FIGURE 53 FINANCIAL METRICS (EV/EBITDA) 235
FIGURE 54 BRAND COMPARISON 235
FIGURE 55 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET:
COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024 237
FIGURE 56 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: COMPANY FOOTPRINT 238
FIGURE 57 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET:
COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2024 243
FIGURE 58 NVIDIA CORPORATION: COMPANY SNAPSHOT 259
FIGURE 59 IBM: COMPANY SNAPSHOT 265
FIGURE 60 SIEMENS: COMPANY SNAPSHOT 271
FIGURE 61 ABB: COMPANY SNAPSHOT 276
FIGURE 62 HONEYWELL INTERNATIONAL INC.: COMPANY SNAPSHOT 280
FIGURE 63 GE VERNOVA: COMPANY SNAPSHOT 283
FIGURE 64 GOOGLE LLC: COMPANY SNAPSHOT 286
FIGURE 65 MICROSOFT: COMPANY SNAPSHOT 289
FIGURE 66 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT 293
FIGURE 67 INTEL CORPORATION: COMPANY SNAPSHOT 296
FIGURE 68 AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT 300
FIGURE 69 ROCKWELL AUTOMATION: COMPANY SNAPSHOT 304
FIGURE 70 SAP SE: COMPANY SNAPSHOT 307
FIGURE 71 ORACLE: COMPANY SNAPSHOT 310
FIGURE 72 MITSUBISHI ELECTRIC CORPORATION: COMPANY SNAPSHOT 312
FIGURE 73 PTC: COMPANY SNAPSHOT 314
FIGURE 74 SCHNEIDER ELECTRIC: COMPANY SNAPSHOT 317
