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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

出版商 MarketsandMarkets產業別 Electronics & Semiconductor出版日期 2025-08-21頁數 335報告編號 SE5470

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報告摘要

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.
目錄 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
圖表清單 List of Tables & Figures
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 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

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