Artificial Intelligence in Manufacturing Market Size, Share & Trends
Report Code
SE 5470
Published in
Aug, 2025, By MarketsandMarkets™
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
USD 155.04 BN
MARKET SIZE, 2030
CAGR 35.3%
(2025-2030)
340
REPORT PAGES
288
MARKET TABLES
OVERVIEW
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
The global artificial intelligence (AI) in manufacturing market is expected to witness expansion from USD 34.18 billion in 2025 to USD 155.04 billion by 2030, reflecting a CAGR of 35.3%. AI in manufacturing leverages machine learning, computer vision, and intelligent automation to optimize production processes, enhance quality control, and minimize downtime. Market growth is accelerated by the rapid adoption of smart factories, the integration of digital twin technology, and the rising demand for predictive and prescriptive analytics in sectors such as automotive, energy & power, electronics, and heavy machinery. Additionally, advancements in robotics and real-time data analytics enable manufacturers to achieve greater flexibility, sustainability, and operational resilience.
KEY TAKEAWAYS
-
BY OFFERINGThe artificial intelligence in manufacturing market spans hardware, software, and services. Hardware such as AI processors and sensors enable real-time automation, while software platforms drive analytics and optimization. Services such as consulting and integration support customized deployments and maximize AI adoption.
-
BY TECHNOLOGYThe artificial intelligence in manufacturing market is driven by multiple technologies. Machine learning powers predictive quality and process optimization, while natural language processing enhances human–machine interaction. Context-aware computing enables adaptive decision-making, computer vision supports defect detection and automation, and generative AI accelerates product design and innovation.
-
BY INDUSTRYThe artificial intelligence in manufacturing market serves diverse industries. Semiconductor & electronics leverage AI for precision and yield improvement, while energy & power adopt it for predictive maintenance and efficiency. Pharmaceuticals use AI to streamline drug production, and automotive players deploy it for smart manufacturing and quality control. Metals & heavy machinery gain from operational automation, food & beverages focus on safety and consistency, while other industries integrate AI to boost productivity and innovation.
-
BY APPLICATIONThe artificial intelligence in manufacturing market is witnessing rapid growth across application areas. AI is deployed for predictive maintenance to minimize equipment failures, while quality management benefits from advanced defect detection and precision monitoring. Inventory and supply chain optimization are enhanced through real-time insights, and production planning is streamlined with intelligent forecasting. Additionally, AI-driven process control and shop floor management enable greater efficiency, flexibility, and cost-effectiveness in manufacturing operations.
-
BY REGIONAsia Pacific is expected to witness the fastest growth, due to the rapid industrial expansion, government initiatives supporting smart factories, and the widespread adoption of AI technologies in manufacturing hubs, such as China, Japan, and India.
-
COMPETITIVE LANDSCAPEKey players, including NVIDIA Corporation, Siemens, IBM, and GE Vernova, are actively pursuing strategies such as product innovation, partnerships, and strategic investments to strengthen their presence and cater to the growing demand for AI-driven manufacturing solutions worldwide.
The artificial intelligence in manufacturing market is set to expand significantly in the coming years, fueled by the growing emphasis on smart automation and the need to optimize production efficiency. The integration of AI-powered analytics, machine learning models, and real-time data processing transforms manufacturing operations, enabling improved quality control, reduced downtime, and enhanced flexibility, while also driving innovation and cost savings across industries.
TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS
The impact on consumers’ business in the artificial intelligence in manufacturing market is shaped by evolving industry dynamics and technological disruptions. Manufacturers across asset-intensive sectors are the primary adopters, with production efficiency, quality control, and automation representing key focus areas. Shifts such as the adoption of predictive analytics, smart factory initiatives, and stricter operational standards directly influence manufacturers’ profitability. These operational gains and compliance need, in turn, to accelerate demand for AI-driven systems and services, fueling the overall market growth.
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
MARKET DYNAMICS
Drivers
Impact
Level
Level
-
Increasing adoption of IIoT and connected devices across manufacturing plants
-
Growing inclination toward AI-enabled decision making in manufacturing
RESTRAINTS
Impact
Level
Level
-
Poor data integrity and data availability gaps in legacy systems
-
Barriers to enterprise-wide AI deployment in manufacturing
OPPORTUNITIES
Impact
Level
Level
-
Emerging trend of managing global plants remotely with AI
-
Shifting focus from mass production to smart customization
CHALLENGES
Impact
Level
Level
-
Complexities in aligning AI output with dynamic manufacturing environments
-
Sustaining AI accuracy in dynamic production environments
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
Driver: Increasing adoption of IIoT and connected devices across manufacturing plants
The rising adoption of IIoT and connected devices is revolutionizing manufacturing by enabling real-time data capture, predictive insights, and seamless system integration. This connectivity drives operational efficiency, minimizes downtime, and supports informed decision-making across production processes. By leveraging AI in these intelligent, interconnected environments, manufacturers can optimize resource utilization, enhance productivity, and maintain a competitive edge in an increasingly digital and data-driven industrial landscape.
Restraint: Poor data integrity and data availability gaps in legacy systems
Legacy manufacturing systems often suffer from fragmented or incomplete data, limiting the effectiveness of AI-driven insights. Poor data quality and availability gaps impede predictive analytics, process optimization, and real-time decision-making. Integrating AI into such environments becomes challenging, requiring significant investments in data cleansing, system upgrades, and connectivity enhancements to ensure actionable intelligence and reliable operational outcomes.
Opportunity: Shifting focus from mass production to smart customization
The evolving market demand for personalized products presents a strategic opportunity for AI adoption in manufacturing. By leveraging intelligent analytics, manufacturers can move beyond traditional mass production to deliver flexible, customized outputs efficiently. AI enables dynamic production planning, adaptive resource allocation, and real-time quality control, allowing organizations to meet diverse customer preferences while optimizing costs and maintaining high throughput in increasingly competitive markets.
Challenge: Complexities in aligning AI output with dynamic manufacturing environments
Manufacturing environments are highly dynamic, with constantly changing production schedules, supply chains, and operational conditions. Aligning AI-driven recommendations with these fluid processes is complex, requiring continuous model updates, sensor integration, and system calibration. Ensuring that AI output remains accurate, actionable, and contextually relevant demands significant technical expertise, robust data frameworks, and cross-functional collaboration across engineering, IT, and operations teams.
Artificial Intelligence in Manufacturing Market: COMMERCIAL USE CASES ACROSS INDUSTRIES
| COMPANY | USE CASE DESCRIPTION | BENEFITS |
|---|---|---|
 |
Transitioned from inefficient manual inspections to GE Vernova’s risk-based operational monitoring system for improved asset visibility | Improved monitoring efficiency | Reduced risks, prevented shutdowns | Saved USD 1M | Enabled proactive high-quality maintenance recommendations |
 |
Implemented AI-guided assistant to simplify connector selection, automate prototyping, and accelerate design using Microsoft Azure and Siemens tools | Reduced configuration time 95% | Enabled instant prototyping | Improved sales efficiency | Boosted innovation by freeing engineers for high-value tasks |
 |
Adopted Siemens NX CAM and digital tools to automate CNC operations, standardize processes, and improve collaboration across teams | Reduced scrap rate below 1% | Boosted productivity | Accelerated design cycles | Improved accuracy | Optimized skilled labor utilization |
 |
Mitsubishi Motors Corporation partnered with IBM Consulting to implement SAP S/4HANA, modernize core processes, integrate operations, and enhance real-time decision-making | Reduced inefficiencies | Automated workflows | Improved visibility | Enhanced collaboration | Boosted scalability | Strengthened long-term competitive growth potential |
 |
Shell International B.V. partnered with C3.ai to deploy predictive maintenance, using ML models on 10,000+ assets with Azure-based analytics pipelines | Generated 15M daily predictions | Reduced downtime | Improved safety | Saved millions | Optimized reliability | Supported net-zero 2050 goals |
Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.
MARKET ECOSYSTEM
The artificial intelligence in manufacturing ecosystem is rapidly transforming the industry by integrating cutting-edge hardware, powerful software platforms, and specialized services. AI hardware providers deliver the high-performance computing backbone, while Al software providers enable real-time insights, automation, and predictive capabilities. Backed by AI service providers, manufacturers gain end-to-end solutions that unlock efficiency, reduce downtime, and accelerate digital transformation. This ecosystem positions Al as a game-changer for driving competitiveness and sustainable growth in the manufacturing market.
Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.
MARKET SEGMENTS
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
Artificial Intelligence in Manufacturing Market, By Offering
The software segment held the largest share in 2024, as advanced analytics, machine learning models, and predictive maintenance platforms form the core of the market. Their ability to transform raw operational data into actionable insights drives adoption across industries. Continuous innovations in AI algorithms, cloud integration, and real-time data processing further strengthen the software segment’s dominance in optimizing manufacturing efficiency and decision-making.
Artificial Intelligence in Manufacturing Market, By Technology
The machine learning segment held a leading share in 2024, as ML algorithms enable predictive analytics, anomaly detection, and adaptive process optimization in manufacturing. By learning from historical and real-time operational data, machine learning drives smarter decision-making, reduces downtime, and enhances production efficiency. Continuous advancements in ML model accuracy, scalability, and integration with IoT and AI platforms further reinforce their dominance across industries.
Artificial Intelligence in Manufacturing Market, By Application
The predictive maintenance and machinery inspection segment held the largest share in 2024, driven by the need to minimize unplanned downtime and optimize equipment performance. AI-powered monitoring and analytics enable early detection, real-time condition assessment, and actionable insights, helping manufacturers extend asset life, reduce maintenance costs, and improve overall operational efficiency across industries.
Artificial Intelligence in Manufacturing Market, By Industry
The automotive industry is a key adopter of AI in manufacturing, leveraging intelligent automation, predictive maintenance, and quality inspection solutions to enhance production efficiency and reduce defects. AI-driven analytics and robotics enable streamlined assembly lines, optimized supply chains, and faster innovation cycles, helping manufacturers meet growing consumer demand and maintain competitiveness in a rapidly evolving market.
REGION
Asia Pacific to be the fastest-growing region in the global artificial intelligence in manufacturing market during the forecast period
Asia Pacific is set to surge with the highest CAGR in the artificial intelligence in manufacturing market, fueled by rapid industrial digitization, smart factory revolutions, and aggressive AI and IoT investments. Booming manufacturing hubs, proactive government initiatives, and rising demand for precision-engineered, customized products propel the region to the forefront of industrial transformation.
Artificial Intelligence in Manufacturing Market: COMPANY EVALUATION MATRIX
In the artificial intelligence in manufacturing market matrix, NVIDIA Corporation (Star) holds a strong position with its advanced AI platforms, GPUs, and edge computing solutions, enabling real-time data processing, predictive maintenance, and process optimization across multiple industries. Siemens (Star) also leads with a comprehensive portfolio of industrial AI software, analytics tools, and automation solutions, delivering high operational efficiency and reliability. These companies drive widespread adoption of AI technologies by offering integrated solutions that enhance productivity, reduce downtime, and optimize manufacturing performance.
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
KEY MARKET PLAYERS
MARKET SCOPE
| REPORT METRIC | DETAILS |
|---|---|
| Market Size in 2024 (Value) | USD 23.40 Billion |
| Market Forecast in 2030 (Value) | USD 155.04 Billion |
| Growth Rate | CAGR of 35.3% from 2025–2030 |
| Years Considered | 2021–2030 |
| Base Year | 2024 |
| Forecast Period | 2025–2030 |
| Units Considered | Value (USD Million/Billion) |
| Report Coverage | Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, and Trends |
| Segments Covered |
|
| Regional Scope | North America, Europe, Asia Pacific, the Middle East, Latin America, and Africa |
WHAT IS IN IT FOR YOU: Artificial Intelligence in Manufacturing Market REPORT CONTENT GUIDE
DELIVERED CUSTOMIZATIONS
We have successfully delivered the following deep-dive customizations:
| CLIENT REQUEST | CUSTOMIZATION DELIVERED | VALUE ADDS |
|---|---|---|
| Global AI Platform Provider | Trend analysis of AI adoption in automotive, aerospace, and electronics Identification of top manufacturing AI investment priorities Benchmarking regional AI policies and government support | Align offerings with industry investment priorities Unlock growth across multiple verticals Support compliance with local AI regulations Strengthen long-term scalability roadmap Build competitive edge through industry insights |
| Emerging AI Specialists | Benchmarking AI adoption in energy, utilities, and manufacturing sectors Case studies on AI for asset performance and predictive maintenance Evaluation of regional AI adoption trends (US, EU, and Asia Pacific) | Identify best-fit markets for expansion Enable scalable deployment planning Strengthen positioning in smart energy and industrial AI Build stronger partnerships with ecosystem players |
| Cross-Industry AI Solution Providers | Segmentation of AI demand across discrete, process, and hybrid manufacturing Competitive profiling of AI-first players vs. traditional automation vendors Case studies of successful AI implementation at scale | Sharpen customer targeting strategies Strengthen positioning against larger incumbents Identify fast-growth customer segments Enhance scalability planning |
RECENT DEVELOPMENTS
- July 2025 : IBM (US) launched its most advanced set of AI models, called Granite 3.0. These new models are designed to help businesses use AI more easily and cost-effectively across different operations. Granite 3.0 models can handle tasks such as summarizing information, answering questions, and sorting data, making them highly useful for improving efficiency and decision-making.
- December 2024 : NVIDIA Corporation (US) acquired AI startup Run:ai (Israel) for USD 700 million to enhance its AI workload optimization capabilities. This acquisition is expected to benefit the AI in manufacturing market by improving GPU resource efficiency and enabling smarter, more scalable deployment of AI applications across industrial operations.
- October 2024 : Siemens (Germany) announced the acquisition of Altair Engineering (US), a global leader in AI and simulation software, in a USD 10 billion deal. This move enhances Siemens' leadership in industrial software by adding powerful design, simulation, and data science tools to its portfolio. The acquisition is aimed at creating the most comprehensive AI-powered design and simulation platform, further strengthening Siemens Xcelerator’s digital capabilities. With Altair's technology, Siemens can offer manufacturers smarter product development, faster innovation cycles, and more efficient operations.
- October 2024 : Microsoft (US) and Siemens (Germany) announced a strategic collaboration to integrate Microsoft Azure OpenAI Service into Siemens’ industrial solutions. This partnership is aimed at accelerating AI-driven transformation across the industrial sector. By combining Siemens’ expertise in automation and manufacturing with Microsoft’s advanced AI capabilities, the collaboration enables businesses to access powerful cloud-based AI tools. These tools are designed to solve complex problems, increase productivity, and drive innovation, making industrial operations more intelligent, connected, and efficient.
- September 2024 : Intel Corporation (US) launched the Gaudi 3 AI Accelerator, a powerful chip designed to improve the efficiency of large-scale AI workloads. Built with high memory capacity and fast data transfer capabilities, Gaudi 3 is optimized to support leading AI tools and platforms. Its integration with IBM Cloud enhances performance and cost-efficiency, making it an attractive solution for enterprises seeking to scale their AI operations. This launch reinforces Intel’s commitment to advancing AI infrastructure and enabling smarter, faster, and more affordable AI computing across industries.
Table of Contents
Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.
TITLE
PAGE NO
1
INTRODUCTION
31
2
RESEARCH METHODOLOGY
36
3
EXECUTIVE SUMMARY
49
4
PREMIUM INSIGHTS
54
5
MARKET OVERVIEW
AI-driven transformations redefine manufacturing with enhanced productivity, smart customization, and remote plant management.
57
5.1
INTRODUCTION
5.2
MARKET DYNAMICS
5.2.1
DRIVERS
5.2.1.1
Increasing adoption of IIoT and connected devices across manufacturing plants
5.2.1.2
Growing inclination toward AI-enabled decision-making in manufacturing
5.2.1.3
Growing role of augmented intelligence in enhancing workforce productivity
5.2.2
RESTRAINTS
5.2.2.1
Poor data integrity and data availability gaps in legacy systems
5.2.2.2
Barriers to enterprise-wide AI deployment in manufacturing
5.2.3
OPPORTUNITIES
5.2.3.1
Emerging trend of managing global plants remotely with AI
5.2.3.2
Shifting focus from mass production to smart customization
5.2.4
CHALLENGES
5.2.4.1
Complexities in aligning AI output with dynamic manufacturing environments
5.2.4.2
Sustaining AI accuracy in dynamic production environments
5.3
VALUE CHAIN ANALYSIS
5.4
ECOSYSTEM ANALYSIS
5.5
TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.6
PORTER’S FIVE FORCES ANALYSIS
5.6.1
BARGAINING POWER OF SUPPLIERS
5.6.2
BARGAINING POWER OF BUYERS
5.6.3
THREAT OF NEW ENTRANTS
5.6.4
THREAT OF SUBSTITUTES
5.6.5
INTENSITY OF COMPETITIVE RIVALRY
5.7
KEY STAKEHOLDERS AND BUYING CRITERIA
5.7.1
KEY STAKEHOLDERS IN BUYING PROCESS
5.7.2
BUYING CRITERIA
5.8
CASE STUDY ANALYSIS
5.8.1
EASTMAN CHEMICAL COMPANY TRANSFORMS EQUIPMENT MONITORING WITH AI-DRIVEN RELIABILITY PROGRAM OFFERED BY GE VERNOVA
5.8.2
HARTING TECHNOLOGY GROUP ACCELERATES CONNECTOR DESIGN WITH AI-POWERED ENGINEERING FROM MICROSOFT AND SIEMENS
5.8.3
RENISHAW PLC IMPROVES PRECISION AND REDUCES SCRAP USING NX CAM SOFTWARE OF SIEMENS
5.8.4
MITSUBISHI MOTORS CORPORATION TRANSFORMS OPERATIONS WITH IBM FOR MORE EFFICIENT AND AGILE FUTURE
5.8.5
SHELL ACHIEVES OPERATIONAL EXCELLENCE AND SCALABILITY IN PREDICTIVE MAINTENANCE WITH AI SOLUTIONS OFFERED BY MICROSOFT AND C3.AI
5.9
TECHNOLOGY ANALYSIS
5.9.1
KEY TECHNOLOGIES
5.9.1.1
Reinforcement learning
5.9.1.2
Augmented reality, virtual reality, and mixed reality
5.9.2
COMPLEMENTARY TECHNOLOGIES
5.9.2.1
Internet of Things (IoT)
5.9.2.2
Edge computing
5.9.3
ADJACENT TECHNOLOGIES
5.9.3.1
Additive manufacturing
5.9.3.2
Digital twin
5.10
PRICING ANALYSIS
5.10.1
AVERAGE SELLING PRICE OF PROCESSORS OFFERED BY KEY PLAYERS, BY TYPE, 2024
5.10.2
PRICING RANGE OF PROCESSORS OFFERED BY KEY PLAYERS, BY TYPE, 2024
5.10.3
AVERAGE SELLING PRICE TREND OF GPU, BY REGION, 2021–2024
5.10.4
AVERAGE SELLING PRICE TREND OF FPGA, BY REGION, 2021–2024
5.11
INVESTMENT AND FUNDING SCENARIO
5.12
TRADE ANALYSIS
5.12.1
IMPORT SCENARIO (HS CODE 8471)
5.12.2
EXPORT SCENARIO (HS CODE 8471)
5.13
PATENT ANALYSIS
5.14
KEY CONFERENCES AND EVENTS, 2025–2026
5.15
REGULATORY LANDSCAPE
5.15.1
REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.16
IMPACT OF 2025 US TARIFF – OVERVIEW
5.16.1
INTRODUCTION
5.16.2
KEY TARIFF RATES
5.16.3
PRICE IMPACT ANALYSIS
5.16.4
IMPACT ON COUNTRIES/REGIONS
5.16.4.1
US
5.16.4.2
Europe
5.16.4.3
Asia Pacific
5.16.5
IMPACT ON INDUSTRIES
5.16.5.1
Semiconductor & electronics
5.16.5.2
Automotive
5.17
STRATEGIC ROADMAP FOR AI ADOPTION IN MANUFACTURING (2024–2030)
5.18
EMERGING REGIONAL HOTSPOTS
5.19
FUTURE OF AI IN MANUFACTURING
5.19.1
GENERATIVE AI AND SIMULATION-DRIVEN DESIGN
5.19.2
AUTONOMOUS AND COLLABORATIVE ROBOTICS
5.19.3
DIGITAL TWINS AND AI-DRIVEN FACTORY PLANNING
5.19.4
AI-DRIVEN SUSTAINABILITY AND ENERGY EFFICIENCY
5.19.5
SCALING AI ACROSS MANUFACTURING ECOSYSTEM
6
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING
Market Size & Growth Rate Forecast Analysis to 2030 in USD Million | 12 Data Tables
103
6.1
INTRODUCTION
6.2
HARDWARE
6.2.1
PROCESSORS
6.2.1.1
Rising need for faster and more energy-efficient computation to boost demand
6.2.1.2
Microprocessor units (MPUs)
6.2.1.3
Graphics processing units (GPUs)
6.2.1.4
Field programmable gate arrays (FPGAs)
6.2.1.5
Application-specific integrated circuits (ASICs)
6.2.2
MEMORY DEVICES
6.2.2.1
Increasing significance of real-time decision-making in automated manufacturing processes to accelerate demand
6.2.3
NETWORK DEVICES
6.2.3.1
Elevating demand for Ethernet adaptors and interconnects to create opportunities
6.3
SOFTWARE
6.3.1
AI SOLUTIONS
6.3.1.1
Rising focus on enhancing efficiency, quality, and flexibility on factory floor to drive segmental growth
6.3.1.2
On-premises
6.3.1.3
Cloud-based
6.3.2
AI PLATFORMS
6.3.2.1
Machine learning framework
6.3.2.2
Application programming interface
6.4
SERVICES
6.4.1
DEPLOYMENT & INTEGRATION
6.4.1.1
Escalating adoption of AI technology by manufacturing firms to drive market
6.4.2
SUPPORT & MAINTENANCE
6.4.2.1
Rising focus on maximizing uptime and ensuring peak performance to fuel market growth
7
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY
Market Size & Growth Rate Forecast Analysis to 2030 in USD Million | 16 Data Tables
116
7.1
INTRODUCTION
7.2
MACHINE LEARNING
7.2.1
DEEP LEARNING
7.2.1.1
Rising adoption of IIoT, machine vision, and robotics across industries to create opportunities
7.2.2
SUPERVISED LEARNING
7.2.2.1
Growing importance of quality assurance, inventory planning, and predictive maintenance to spike demand
7.2.3
REINFORCEMENT LEARNING
7.2.3.1
Potential to automatically determine context-specific ideal behavior to maximize performance to drive segmental growth
7.2.4
UNSUPERVISED LEARNING
7.2.4.1
Ability to detect real-time anomalies in complex, multi-step manufacturing environments to boost demand
7.2.5
OTHERS
7.3
NATURAL LANGUAGE PROCESSING
7.3.1
POTENTIAL TO TRANSFORM DOMAIN-SPECIFIC TEXT INTO ACTIONABLE KNOWLEDGE TO SPUR DEMAND
7.4
CONTEXT-AWARE COMPUTING
7.4.1
COMPETENCE TO EMPOWER NEXT-GENERATION SMART DEVICES TO ACCELERATE ADOPTION
7.5
COMPUTER VISION
7.5.1
ABILITY TO ENHANCE INDUSTRIAL EFFICIENCY TO FUEL SEGMENTAL GROWTH
7.6
GENERATIVE AI
7.6.1
SCALING DEPLOYMENT TO ENHANCE PRODUCTION EFFICIENCY TO FUEL MARKET GROWTH
8
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION
Market Size & Growth Rate Forecast Analysis to 2030 in USD Million | 18 Data Tables
129
8.1
INTRODUCTION
8.2
INVENTORY OPTIMIZATION
8.2.1
GROWING FOCUS ON ACHIEVING COST EFFICIENCY AND SUPPLY CHAIN RESILIENCE TO STIMULATE DEMAND
8.3
PREDICTIVE MAINTENANCE & MACHINERY INSPECTION
8.3.1
POTENTIAL TO MAXIMIZE EQUIPMENT UPTIME AND REDUCE OPERATIONAL COSTS TO DRIVE ADOPTION
8.4
PRODUCTION PLANNING
8.4.1
PRESSING NEED TO STAY COMPETITIVE IN DYNAMIC GLOBAL MARKET TO FUEL IMPLEMENTATION
8.5
FIELD SERVICES
8.5.1
NECESSITY TO OPTIMIZE WORKFORCE DEPLOYMENT AND TRACK ASSET HEALTH TO FUEL SEGMENTAL GROWTH
8.6
RECLAMATION
8.6.1
STRINGENT QUALITY STANDARDS AND SIGNIFICANT FOCUS ON WASTE REDUCTION TO DRIVE MARKET
8.7
QUALITY CONTROL
8.7.1
INCREASING USE OF AI-POWERED QUALITY CONTROL SYSTEMS BY PHARMACEUTICAL AND FOOD & BEVERAGE COMPANIES TO ACCELERATE MARKET GROWTH
8.8
CYBERSECURITY
8.8.1
CAPABILITY TO SECURE DIGITAL ASSETS AND ENSURE UNINTERRUPTED OPERATIONS TO FOSTER SEGMENTAL GROWTH
8.9
INDUSTRIAL ROBOTS
8.9.1
SEAMLESS INTEGRATION OF AI INTO INDUSTRIAL ROBOTS TO DRIVE MARKET
9
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY
Market Size & Growth Rate Forecast Analysis to 2030 in USD Million | 72 Data Tables
142
9.1
INTRODUCTION
9.2
AUTOMOTIVE
9.2.1
ELEVATING DEPLOYMENT OF AI-POWERED CAMERA-BASED AUTONOMOUS DRIVING SOLUTIONS TO PROPEL MARKET
9.3
ENERGY & POWER
9.3.1
NEED TO SYNCHRONIZE PRODUCTION SCHEDULES AND QUALITY CONTROL ACROSS ENERGY ASSETS TO BOOST ADOPTION
9.4
PHARMACEUTICALS
9.4.1
NECESSITY TO MAINTAIN CONSISTENT PRODUCT QUALITY TO STIMULATE DEMAND
9.5
METALS & HEAVY MACHINERY
9.5.1
ESCALATING NEED TO MONITOR HEAT, SOUND, LIGHT, ODOR, AND VIBRATIONS IN METALS AND HEAVY MACHINERY TO PUSH DEMAND
9.6
SEMICONDUCTOR & ELECTRONICS
9.6.1
PRESSING NEED TO SCALE UP PRODUCTION WHILE MAINTAINING QUALITY TO ACCELERATE DEMAND
9.7
FOOD & BEVERAGES
9.7.1
GROWING ADOPTION OF AUTOMATION TO MAINTAIN HYGIENIC FOOD PROCESSING SOLUTIONS TO FUEL MARKET GROWTH
9.8
OTHER INDUSTRIES
10
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION
Market Size & Growth Rate Forecast Analysis to 2030 in USD Million | 72 Data Tables
176
10.1
INTRODUCTION
10.2
NORTH AMERICA
10.2.1
MICROECONOMIC OUTLOOK FOR NORTH AMERICA
10.2.2
US
10.2.2.1
Private investments in AI manufacturing infrastructure development to accelerate market growth
10.2.3
CANADA
10.2.3.1
Strategic alignment of public–private investments to integrate AI into manufacturing to fuel market growth
10.2.4
MEXICO
10.2.4.1
Rapid expansion of AI startup ecosystem to foster market growth
10.3
EUROPE
10.3.1
MICROECONOMIC OUTLOOK FOR EUROPE
10.3.2
GERMANY
10.3.2.1
Integration of big data technologies within factories and rise in AI startups to support market growth
10.3.3
UK
10.3.3.1
Launch of AI Opportunities Action Plan to contribute to market growth
10.3.4
FRANCE
10.3.4.1
Substantial investment in AI and cloud technologies, along with data center expansion, to expedite market growth
10.3.5
ITALY
10.3.5.1
Emphasis on cultivating skilled professionals in AI technologies to facilitate market growth
10.3.6
POLAND
10.3.6.1
Influx of capital to foster AI innovation and research to promote market growth
10.3.7
SPAIN
10.3.7.1
Rapid digital transformation to optimize production and improve quality control to create growth opportunities
10.3.8
NORDIC
10.3.8.1
Significant investments in digital infrastructure and talent development to fuel market growth
10.3.9
REST OF EUROPE
10.4
ASIA PACIFIC
10.4.1
CHINA
10.4.1.1
Rapid expansion of smart factories to accelerate market growth
10.4.2
JAPAN
10.4.2.1
Development of advanced large language models, industrial AI platforms, and robotics solutions for meeting factory needs to drive demand
10.4.3
SOUTH KOREA
10.4.3.1
Significant focus on development of humanoid robots to spike demand
10.4.4
INDIA
10.4.4.1
Shift from AI pilot projects to full-scale integration in industrial plants to create opportunities
10.4.5
AUSTRALIA
10.4.5.1
Public–private partnerships, infrastructure upgrades, and government initiatives in the AI space to expedite market expansion
10.4.6
MALAYSIA
10.4.6.1
High focus on building AI startups and expanding AI chip production to create opportunities
10.4.7
THAILAND
10.4.7.1
Smart factory pilot programs to boost demand
10.4.8
INDONESIA
10.4.8.1
Surging adoption of Industry 4.0 across manufacturing firms to promote market growth
10.4.9
VIETNAM
10.4.9.1
Smart factor programs and large-scale infrastructure products to create growth opportunities
10.4.10
REST OF ASIA PACIFIC
10.5
ROW
10.5.1
MIDDLE EAST
10.5.1.1
Saudi Arabia
10.5.1.2
UAE
10.5.1.3
Qatar
10.5.1.4
Kuwait
10.5.1.5
Oman
10.5.1.6
Bahrain
10.5.1.7
Rest of Middle East
10.5.2
AFRICA
10.5.2.1
South Africa
10.5.2.2
Other African countries
10.5.3
SOUTH AMERICA
10.5.3.1
Brazil
10.5.3.2
Argentina
10.5.3.3
Rest of South America
11
COMPETITIVE LANDSCAPE
Discover emerging leaders and strategic shifts reshaping market dominance through 2024's competitive landscape analysis.
228
11.1
OVERVIEW
11.2
KEY PLAYER STRATEGIES/RIGHT TO WIN, 2023–2025
11.3
REVENUE ANALYSIS, 2020–2024
11.4
MARKET SHARE ANALYSIS, 2024
11.5
COMPANY VALUATION AND FINANCIAL METRICS
11.6
BRAND COMPARISON
11.7
COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
11.7.1
STARS
11.7.2
EMERGING LEADERS
11.7.3
PERVASIVE PLAYERS
11.7.4
PARTICIPANTS
11.7.5
COMPANY FOOTPRINT: KEY PLAYERS, 2024
11.7.5.1
Company footprint
11.7.5.2
Region footprint
11.7.5.3
Industry footprint
11.7.5.4
Offering footprint
11.7.5.5
Technology footprint
11.7.5.6
Application footprint
11.8
COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
11.8.1
PROGRESSIVE COMPANIES
11.8.2
RESPONSIVE COMPANIES
11.8.3
DYNAMIC COMPANIES
11.8.4
STARTING BLOCKS
11.8.5
COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
11.8.5.1
Detailed list of key startup/SMEs
11.8.5.2
Competitive benchmarking of key startup/SMEs
11.9
COMPETITIVE SCENARIO
11.9.1
PRODUCT LAUNCHES
11.9.2
DEALS
11.9.3
EXPANSIONS
12
COMPANY PROFILES
In-depth Company Profiles of Leading Market Players with detailed Business Overview, Product and Service Portfolio, Recent Developments, and Unique Analyst Perspective (MnM View)
258
12.1
KEY PLAYERS
12.1.1
NVIDIA CORPORATION
12.1.1.1
Business overview
12.1.1.2
Products/Solutions/Services offered
12.1.1.3
Recent developments
12.1.1.4
MnM view
12.1.2
IBM
12.1.3
SIEMENS
12.1.4
ABB
12.1.5
HONEYWELL INTERNATIONAL INC.
12.1.6
GE VERNOVA
12.1.7
GOOGLE LLC
12.1.8
MICROSOFT
12.1.9
MICRON TECHNOLOGY, INC.
12.1.10
INTEL CORPORATION
12.1.11
AMAZON WEB SERVICES, INC.
12.1.12
ROCKWELL AUTOMATION
12.1.13
SAP SE
12.1.14
ORACLE
12.1.15
MITSUBISHI ELECTRIC CORPORATION
12.1.16
PTC
12.1.17
SCHNEIDER ELECTRIC
12.2
OTHER PLAYERS
12.2.1
CISCO SYSTEMS, INC.
12.2.2
HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
12.2.3
DASSAULT SYSTÈMES
12.2.4
PROGRESS SOFTWARE CORPORATION
12.2.5
ZEBRA TECHNOLOGIES CORP.
12.2.6
UBTECH ROBOTICS CORP LTD
12.2.7
AQUANT
12.2.8
BRIGHT MACHINES, INC.
12.2.9
AVATHON
12.2.10
SIGHT MACHINE
13
APPENDIX
328
13.1
DISCUSSION GUIDE
13.2
KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
13.3
CUSTOMIZATION OPTIONS
13.4
RELATED REPORTS
13.5
AUTHOR DETAILS
LIST OF TABLES
TABLE 1
INCLUSIONS AND EXCLUSIONS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET REPORT
TABLE 2
ROLE OF COMPANIES IN ECOSYSTEM
TABLE 3
IMPACT OF EACH FORCE ON ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
TABLE 4
INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS (%)
TABLE 5
KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS
TABLE 6
PRICING RANGE OF PROCESSOR TYPES OFFERED BY KEY PLAYERS, 2024 (USD)
TABLE 7
AVERAGE SELLING PRICE TREND OF GPU, BY REGION, 2021–2024 (USD)
TABLE 8
AVERAGE SELLING PRICE TREND OF FPGA, BY REGION, 2021–2024 (USD)
TABLE 9
IMPORT DATA FOR HS CODE 8471-COMPLIANT PRODUCTS, BY COUNTRY, 2020–2024 (USD BILLION)
TABLE 10
EXPORT DATA FOR HS CODE 8471-COMPLIANT PRODUCTS, BY COUNTRY, 2020–2024 (USD BILLION)
TABLE 11
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: INNOVATIONS AND PATENT REGISTRATIONS, 2023–2024
TABLE 12
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: CONFERENCES AND EVENTS
TABLE 13
NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 14
EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 15
ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 16
ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 17
US-ADJUSTED RECIPROCAL TARIFF RATES
TABLE 18
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING, 2021–2024 (USD MILLION)
TABLE 19
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING, 2025–2030 (USD MILLION)
TABLE 20
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY HARDWARE TYPE, 2021–2024 (USD MILLION)
TABLE 21
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY HARDWARE TYPE, 2025–2030 (USD MILLION)
TABLE 22
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY SOFTWARE TYPE, 2021–2024 (USD MILLION)
TABLE 23
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY SOFTWARE TYPE, 2025–2030 (USD MILLION)
TABLE 24
AI SOLUTIONS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY DEPLOYMENT TYPE, 2021–2024 (USD MILLION)
TABLE 25
AI SOLUTIONS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY DEPLOYMENT TYPE, 2025–2030 (USD MILLION)
TABLE 26
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY AI PLATFORM TYPE, 2021–2024 (USD MILLION)
TABLE 27
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY AI PLATFORM TYPE, 2025–2030 (USD MILLION)
TABLE 28
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY SERVICE TYPE, 2021–2024 (USD MILLION)
TABLE 29
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY SERVICE TYPE, 2025–2030 (USD MILLION)
TABLE 30
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION)
TABLE 31
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)
TABLE 32
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY MACHINE LEARNING TYPE, 2021–2024 (USD MILLION)
TABLE 33
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY MACHINE LEARNING TYPE, 2025–2030 (USD MILLION)
TABLE 34
MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2021–2024 (USD MILLION)
TABLE 35
MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2025–2030 (USD MILLION)
TABLE 36
NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2021–2024 (USD MILLION)
TABLE 37
NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2025–2030 (USD MILLION)
TABLE 38
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY CONTEXT-AWARE COMPUTING TYPE, 2021–2024 (USD MILLION)
TABLE 39
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY CONTEXT-AWARE COMPUTING TYPE, 2025–2030 (USD MILLION)
TABLE 40
CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2021–2024 (USD MILLION)
TABLE 41
CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2025–2030 (USD MILLION)
TABLE 42
COMPUTER VISION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2021–2024 (USD MILLION)
TABLE 43
COMPUTER VISION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2025–2030 (USD MILLION)
TABLE 44
GENERATIVE AI: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2021–2024 (USD MILLION)
TABLE 45
GENERATIVE AI: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2025–2030 (USD MILLION)
TABLE 46
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2021–2024 (USD MILLION)
TABLE 47
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2025–2030 (USD MILLION)
TABLE 48
INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION)
TABLE 49
INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)
TABLE 50
PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION)
TABLE 51
PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING, BY TECHNOLOGY, 2025–2030 (USD MILLION)
TABLE 52
PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION)
TABLE 53
PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)
TABLE 54
FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION)
TABLE 55
FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)
TABLE 56
RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION)
TABLE 57
RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)
TABLE 58
QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION)
TABLE 59
QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)
TABLE 60
CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION)
TABLE 61
CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)
TABLE 62
INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION)
TABLE 63
INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION)
TABLE 64
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 65
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 66
AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2021–2024 (USD MILLION)
TABLE 67
AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 68
AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 69
AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 70
AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 71
AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 72
AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 73
AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 74
AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2021–2024 (USD MILLION)
TABLE 75
AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2025–2030 (USD MILLION)
TABLE 76
ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2021–2024 (USD MILLION)
TABLE 77
ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 78
ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 79
ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 80
ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 81
ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 82
ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 83
ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 84
ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2021–2024 (USD MILLION)
TABLE 85
ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2025–2030 (USD MILLION)
TABLE 86
PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2021–2024 (USD MILLION)
TABLE 87
PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 88
PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 89
PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 90
PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 91
PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 92
PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 93
PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 94
PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2021–2024 (USD MILLION)
TABLE 95
PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2025–2030 (USD MILLION)
TABLE 96
METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2021–2024 (USD MILLION)
TABLE 97
METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 98
METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 99
METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 100
METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 101
METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 102
METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 103
METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 104
METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2021–2024 (USD MILLION)
TABLE 105
METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2025–2030 (USD MILLION)
TABLE 106
SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2021–2024 (USD MILLION)
TABLE 107
SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 108
SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 109
SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 110
SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 111
SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 112
SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 113
SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 114
SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2021–2024 (USD MILLION)
TABLE 115
SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2025–2030 (USD MILLION)
TABLE 116
FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2021–2024 (USD MILLION)
TABLE 117
FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 118
FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 119
FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 120
FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 121
FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 122
FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 123
FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 124
FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2021–2024 (USD MILLION)
TABLE 125
FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2025–2030 (USD MILLION)
TABLE 126
OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2021–2024 (USD MILLION)
TABLE 127
OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 128
OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 129
OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 130
OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 131
OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 132
OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 133
OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 134
OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2021–2024 (USD MILLION)
TABLE 135
OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ROW, BY REGION, 2025–2030 (USD MILLION)
TABLE 136
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2021–2024 (USD MILLION)
TABLE 137
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 138
NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 139
NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 140
NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 141
NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 142
US: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 143
US: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 144
CANADA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 145
CANADA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 146
MEXICO: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 147
MEXICO: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 148
EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 149
EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 150
EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 151
EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 152
GERMANY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 153
GERMANY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 154
UK: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 155
UK: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 156
FRANCE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 157
FRANCE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 158
ITALY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 159
ITALY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 160
POLAND: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 161
POLAND: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 162
SPAIN: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 163
SPAIN: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 164
NORDIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 165
NORDIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 166
REST OF EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 167
REST OF EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 168
ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 169
ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 170
ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 171
ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 172
CHINA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 173
CHINA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 174
JAPAN: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 175
JAPAN: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 176
SOUTH KOREA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 177
SOUTH KOREA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 178
INDIA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 179
INDIA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 180
AUSTRALIA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 181
AUSTRALIA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 182
MALAYSIA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 183
MALAYSIA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 184
THAILAND: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 185
THAILAND: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 186
INDONESIA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 187
INDONESIA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 188
VIETNAM: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 189
VIETNEM: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 190
REST OF ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 191
REST OF ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 192
ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2021–2024 (USD MILLION)
TABLE 193
ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2025–2030 (USD MILLION)
TABLE 194
ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 195
ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 196
MIDDLE EAST: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 197
MIDDLE EAST: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 198
MIDDLE EAST: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 199
MIDDLE EAST: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 200
AFRICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 201
AFRICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 202
AFRICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 203
AFRICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 204
SOUTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2021–2024 (USD MILLION)
TABLE 205
SOUTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
TABLE 206
SOUTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2021–2024 (USD MILLION)
TABLE 207
SOUTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2025–2030 (USD MILLION)
TABLE 208
OVERVIEW OF STRATEGIES ADOPTED BY AI SOLUTION/SERVICE PROVIDERS, JANUARY 2023–JULY 2025
TABLE 209
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE ANALYSIS, 2024
TABLE 210
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: REGION FOOTPRINT
TABLE 211
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: INDUSTRY FOOTPRINT
TABLE 212
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: OFFERING FOOTPRINT
TABLE 213
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: TECHNOLOGY FOOTPRINT
TABLE 214
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: APPLICATION FOOTPRINT
TABLE 215
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: LIST OF KEY STARTUPS/SMES
TABLE 216
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
TABLE 217
ARTIFICIAL INTELLIGENCE IN INTELLIGENCE MARKET: PRODUCT LAUNCHES, JANUARY 2023–JULY 2025
TABLE 218
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: DEALS, JANUARY 2023–JULY 2025
TABLE 219
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: EXPANSIONS, JANUARY 2023–JULY 2025
TABLE 220
NVIDIA CORPORATION: COMPANY OVERVIEW
TABLE 221
NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 222
NVIDIA CORPORATION: PRODUCT LAUNCHES
TABLE 223
NVIDIA CORPORATION: DEALS
TABLE 224
IBM: COMPANY OVERVIEW
TABLE 225
IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 226
IBM: PRODUCT LAUNCHES
TABLE 227
IBM: DEALS
TABLE 228
SIEMENS: COMPANY OVERVIEW
TABLE 229
SIEMENS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 230
SIEMENS: PRODUCT LAUNCHES
TABLE 231
SIEMENS: DEALS
TABLE 232
ABB: BUSINESS OVERVIEW
TABLE 233
ABB: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 234
ABB: DEALS
TABLE 235
HONEYWELL INTERNATIONAL INC.: BUSINESS OVERVIEW
TABLE 236
HONEYWELL INTERNATIONAL INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 237
HONEYWELL INTERNATIONAL INC.: PRODUCT LAUNCHES
TABLE 238
GE VERNOVA: COMPANY OVERVIEW
TABLE 239
GE VERNOVA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 240
GE VERNOVA: PRODUCT LAUNCHES
TABLE 241
GOOGLE LLC: COMPANY OVERVIEW
TABLE 242
GOOGLE LLC: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 243
MICROSOFT: COMPANY OVERVIEW
TABLE 244
MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 245
MICROSOFT: PRODUCT LAUNCHES
TABLE 246
MICROSOFT: DEALS
TABLE 247
MICROSOFT: EXPANSIONS
TABLE 248
MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW
TABLE 249
MICRON TECHNOLOGY, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 250
MICRON TECHNOLOGY, INC.: PRODUCT LAUNCHES
TABLE 251
MICRON TECHNOLOGY, INC.: EXPANSIONS
TABLE 252
INTEL CORPORATION: COMPANY OVERVIEW
TABLE 253
INTEL CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 254
INTEL CORPORATION: PRODUCT LAUNCHES
TABLE 255
INTEL CORPORATION: DEALS
TABLE 256
AMAZON WEB SERVICES, INC.: COMPANY OVERVIEW
TABLE 257
AMAZON WEB SERVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 258
AMAZON WEB SERVICES, INC.: PRODUCT LAUNCHES
TABLE 259
AMAZON WEB SERVICES, INC.: DEALS
TABLE 260
ROCKWELL AUTOMATION: BUSINESS OVERVIEW
TABLE 261
ROCKWELL AUTOMATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 262
ROCKWELL AUTOMATION: DEALS
TABLE 263
SAP SE: BUSINESS OVERVIEW
TABLE 264
SAP SE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 265
SAP SE: DEALS
TABLE 266
ORACLE: BUSINESS OVERVIEW
TABLE 267
ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 268
MITSUBISHI ELECTRIC CORPORATION: BUSINESS OVERVIEW
TABLE 269
MITSUBISHI ELECTRIC CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 270
PTC: BUSINESS OVERVIEW
TABLE 271
PTC: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 272
PTC: PRODUCT LAUNCHES
TABLE 273
PTC: DEALS
TABLE 274
SCHNEIDER ELECTRIC: BUSINESS OVERVIEW
TABLE 275
SCHNEIDER ELECTRIC: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 276
SCHNEIDER ELECTRIC: DEALS
TABLE 277
CISCO SYSTEMS, INC.: COMPANY OVERVIEW
TABLE 278
HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: COMPANY OVERVIEW
TABLE 279
DASSAULT SYSTÈMES: COMPANY OVERVIEW
TABLE 280
PROGRESS SOFTWARE CORPORATION: COMPANY OVERVIEW
TABLE 281
ZEBRA TECHNOLOGIES CORP.: COMPANY OVERVIEW
TABLE 282
UBTECH ROBOTICS CORP LTD: COMPANY OVERVIEW
TABLE 283
AQUANT: COMPANY OVERVIEW
TABLE 284
BRIGHT MACHINES, INC.: COMPANY OVERVIEW
TABLE 285
AVATHON: COMPANY OVERVIEW
TABLE 286
SIGHT MACHINE: COMPANY OVERVIEW
LIST OF FIGURES
FIGURE 1
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SEGMENTATION AND REGIONAL SCOPE
FIGURE 2
DURATION COVERED
FIGURE 3
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: RESEARCH DESIGN
FIGURE 4
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: RESEARCH APPROACH
FIGURE 5
BOTTOM-UP APPROACH
FIGURE 6
TOP-DOWN APPROACH
FIGURE 7
MARKET SIZE ESTIMATION METHODOLOGY: (DEMAND SIDE) REVENUE GENERATED BY COMPANIES IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
FIGURE 8
DATA TRIANGULATION METHODOLOGY
FIGURE 9
SOFTWARE OFFERINGS TO CAPTURE PROMINENT MARKET SHARE IN 2030
FIGURE 10
GENERATIVE AI TECHNOLOGY TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 11
AUTOMOTIVE INDUSTRY TO CAPTURE MAJORITY OF MARKET SHARE IN 20230
FIGURE 12
PREDICTIVE MAINTENANCE & MACHINERY INSPECTION APPLICATIONS TO SECURE LARGEST MARKET SHARE IN 2030
FIGURE 13
NORTH AMERICA ACCOUNTED FOR LARGEST MARKET SHARE IN 2024
FIGURE 14
RISING ADOPTION OF AI SOLUTIONS BY MANUFACTURING FIRMS TO FUEL MARKET GROWTH
FIGURE 15
SOFTWARE SEGMENT TO LEAD ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2025
FIGURE 16
MACHINE LEARNING SEGMENT TO SECURE LARGEST MARKET SHARE IN 2025
FIGURE 17
AUTOMOTIVE SEGMENT TO CAPTURE LARGEST MARKET SHARE IN 2025
FIGURE 18
PREDICTIVE MAINTENANCE & MACHINERY INSPECTION SEGMENT TO COMMAND MARKET IN 2025
FIGURE 19
CHINA TO RECORD HIGHEST CAGR IN GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET FROM 2025 TO 2030
FIGURE 20
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET DYNAMICS
FIGURE 21
IMPACT ANALYSIS OF DRIVERS
FIGURE 22
IMPACT ANALYSIS OF RESTRAINTS
FIGURE 23
IMPACT ANALYSIS OF OPPORTUNITIES
FIGURE 24
IMPACT ANALYSIS OF CHALLENGES
FIGURE 25
ARTIFICIAL INTELLIGENCE IN MANUFACTURING VALUE CHAIN ANALYSIS
FIGURE 26
ECOSYSTEM OF AI IN MANUFACTURING
FIGURE 27
TRENDS/DISRUPTIONS INFLUENCING CUSTOMER BUSINESS
FIGURE 28
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: PORTER’S FIVE FORCES ANALYSIS
FIGURE 29
INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS
FIGURE 30
KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS
FIGURE 31
AVERAGE SELLING PRICE OF PROCESSORS PROVIDED BY KEY PLAYERS, BY TYPE, 2024
FIGURE 32
AVERAGE SELLING PRICE TREND OF GPU, BY REGION, 2021–2024
FIGURE 33
AVERAGE SELLING PRICE TREND OF FPGA, BY REGION, 2021–2024
FIGURE 34
INVESTMENT AND FUNDING SCENARIO, 2020–2024
FIGURE 35
IMPORT SCENARIO FOR HS CODE 8471-COMPLIANT PRODUCTS IN TOP 5 COUNTRIES, 2020–2024
FIGURE 36
EXPORT SCENARIO FOR HS CODE 8471-COMPLIANT PRODUCTS IN TOP 5 COUNTRIES, 2020–2024
FIGURE 37
KEY PATENT APPLICANTS AND OWNERS, 2015–2024
FIGURE 38
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING
FIGURE 39
SOFTWARE SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2030
FIGURE 40
MACHINE LEARNING TECHNOLOGY TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2030
FIGURE 41
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION
FIGURE 42
PREDICTIVE MAINTENANCE & MACHINERY INSPECTION SEGMENT TO HOLD LARGEST MARKET SHARE IN 2025
FIGURE 43
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY
FIGURE 44
AUTOMOTIVE INDUSTRY TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2025
FIGURE 45
CHINA TO BE FASTEST-GROWING ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET GLOBALLY DURING FORECAST PERIOD
FIGURE 46
NORTH AMERICA TO CAPTURE PROMINENT SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2030
FIGURE 47
SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA
FIGURE 48
SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE
FIGURE 49
SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC
FIGURE 50
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: REVENUE ANALYSIS, 2020–2024
FIGURE 51
MARKET SHARE ANALYSIS, 2024
FIGURE 52
COMPANY VALUATION
FIGURE 53
FINANCIAL METRICS (EV/EBITDA)
FIGURE 54
BRAND COMPARISON
FIGURE 55
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024
FIGURE 56
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: COMPANY FOOTPRINT
FIGURE 57
ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2024
FIGURE 58
NVIDIA CORPORATION: COMPANY SNAPSHOT
FIGURE 59
IBM: COMPANY SNAPSHOT
FIGURE 60
SIEMENS: COMPANY SNAPSHOT
FIGURE 61
ABB: COMPANY SNAPSHOT
FIGURE 62
HONEYWELL INTERNATIONAL INC.: COMPANY SNAPSHOT
FIGURE 63
GE VERNOVA: COMPANY SNAPSHOT
FIGURE 64
GOOGLE LLC: COMPANY SNAPSHOT
FIGURE 65
MICROSOFT: COMPANY SNAPSHOT
FIGURE 66
MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT
FIGURE 67
INTEL CORPORATION: COMPANY SNAPSHOT
FIGURE 68
AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
FIGURE 69
ROCKWELL AUTOMATION: COMPANY SNAPSHOT
FIGURE 70
SAP SE: COMPANY SNAPSHOT
FIGURE 71
ORACLE: COMPANY SNAPSHOT
FIGURE 72
MITSUBISHI ELECTRIC CORPORATION: COMPANY SNAPSHOT
FIGURE 73
PTC: COMPANY SNAPSHOT
FIGURE 74
SCHNEIDER ELECTRIC: COMPANY SNAPSHOT
Methodology
The study involved four major activities in estimating the current size of the AI in manufacturing market. Exhaustive secondary research has been conducted to gather information on the market, adjacent markets, and the overall AI in manufacturing landscape. These findings, assumptions, and projections were validated through primary research involving interviews with industry experts and key stakeholders across the value chain. Both top-down and bottom-up approaches were utilized to estimate the overall market size. Subsequently, market breakdown and data triangulation techniques were applied to determine the sizes of various segments and subsegments. Two key sources, secondary and primary, were leveraged to conduct a comprehensive technical and commercial assessment of the AI in manufacturing market.
Secondary Research
Various secondary sources have been referred to in the secondary research process to identify and collect important information for this study. The secondary sources include annual reports, press releases, and investor presentations of companies; white papers; journals and certified publications; and articles from recognized authors, websites, directories, and databases. Secondary research has been conducted to obtain key information about the industry’s supply chain, the market’s value chain, the total pool of key players, market segmentation according to the industry trends (to the bottom-most level), regional markets, and key developments from market- and technology-oriented perspectives. The secondary data has been collected and analyzed to determine the overall market size, and further validated by primary research.
Primary Research
Extensive primary research was conducted after gaining knowledge about the current scenario of the AI in manufacturing market through secondary research. Several primary interviews were conducted with experts from the demand and supply sides across four major regions—North America, Europe, Asia Pacific, and RoW. This primary data was collected through questionnaires, emails, and telephonic interviews.
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.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Both top-down and bottom-up approaches have been used to estimate and validate the total size of the AI in manufacturing market. These methods have also been used extensively to estimate the size of various subsegments on the market. The following research methodology has been used to estimate the market size:
- Major players in the industry and markets have been identified through extensive secondary research.
- The industry’s value chain and market size (in terms of value) have been determined through primary and secondary research processes.
- All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.
Artificial Intelligence in Manufacturing Market : Top-Down and Bottom-Up Approach
Data Triangulation
After arriving at the overall size of the AI in manufacturing market from the market size estimation process explained above, the total market has been split into several segments and subsegments. Data triangulation and market breakdown procedures have been employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments of the market. The data has been triangulated by studying various factors and trends from both the demand and supply sides. Along with this, the market size has been validated using both top-down and bottom-up approaches.
Market Definition
Artificial Intelligence (AI) in manufacturing refers to the use of advanced technologies that simulate human intelligence to analyze data, interact with machines, and carry out key processes. It enables functions such as material handling, equipment monitoring, quality checks, and self-diagnostics, tasks that traditionally required human labor or operator-assisted robotics, to be performed faster, more accurately, and at lower cost. By minimizing manual intervention and optimizing resources, AI improves productivity, reduces downtime, and enhances operational efficiency. As a result, it serves as a strategic driver of digital transformation, strengthening competitiveness and resilience in the global manufacturing sector.
Key Stakeholders
- Semiconductor companies
- Technology providers
- Universities and research organizations
- System integrators
- AI solution providers
- AI platform providers
- Cloud service providers
- AI system providers
- AI service providers
- Energy and power companies
- Automobile companies
- Aircraft companies
- Textile companies
- Heavy metal companies
- Food & beverage companies
- Packaging companies
- Pharmaceutical companies
- Manufacturing consulting companies
- Investors and venture capitalists
- Manufacturers implementing AI technology
Report Objectives
- To define, describe, and forecast the artificial intelligence (AI) in manufacturing market, in terms of value, based on offering, technology, application, and industry
- To describe and forecast the artificial intelligence in manufacturing market, in terms of value, based on region—North America, Europe, Asia Pacific, and Rest of the World (RoW)
- To provide detailed information on drivers, restraints, opportunities, and challenges influencing market growth
- To strategically analyze micromarkets with respect to individual growth trends, prospects, and contributions to the total market
- To provide information on patent analysis, technology analysis, pricing analysis, Porter’s Five Forces analysis, key stakeholders and buying criteria, key conferences and events, regulatory bodies, government agencies, and regulations pertaining to the market under study
- To analyze the probable impact of the recession on the market in the near future
- To study the complete value chain of the artificial intelligence in manufacturing ecosystem, along with market trends and case studies
- To profile key players and comprehensively analyze their market positions in terms of ranking and core competencies, along with detailing the competitive landscape for market leaders
- To analyze the competitive developments such as joint ventures, collaborations, agreements, contracts, partnerships, mergers & acquisitions, product launches, and research & development (R&D) in the artificial intelligence in manufacturing market
Customization Options
With the market data given, MarketsandMarkets offers customizations according to the company’s specific needs. The following customization options are available for the report:
Company Information
- Detailed analysis and profiling of additional market players (up to 5)
Key Questions Addressed by the Report
What is the total CAGR expected to be recorded for the AI in manufacturing market during the forecast period?
The global AI in manufacturing market is expected to record a CAGR of 35.3% during the forecast period.
What are the driving factors for the AI in manufacturing market?
The AI in manufacturing market is driven by the rising demand for smart automation and predictive maintenance, which is accelerating AI adoption in manufacturing and integration of AI with IoT and robotics, enhancing real-time decision making and operational efficiency.
What was the market size of AI in manufacturing market in the year 2024?
The global AI in manufacturing market was valued at USD 23.40 billion in the year 2024.
Which industry is anticipated to have the highest market share of AI in manufacturing market by 2030?
The automotive industry is expected to have the highest market share in the AI in manufacturing market during the projected period.
Which region is anticipated to offer lucrative growth for the AI in manufacturing market by 2030?
During the projected period, the Asia Pacific is expected to offer lucrative opportunities in the AI in manufacturing market.
Personalize This Research
- Triangulate with your Own Data
- Get Data as per your Format and Definition
- Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
- Any level of Personalization
Let Us Help You
- What are the Known and Unknown Adjacencies Impacting the Artificial Intelligence in Manufacturing Market
- What will your New Revenue Sources be?
- Who will be your Top Customer; what will make them switch?
- Defend your Market Share or Win Competitors
- Get a Scorecard for Target Partners
Custom Market Research Services
We Will Customise The Research For You, In Case The Report Listed Above Does Not Meet With Your Requirements
Get 10% Free CustomisationGrowth opportunities and latent adjacency in Artificial Intelligence in Manufacturing Market
Before You Go
Expand Beyond Artificial Intelligence in Manufacturing Market
Explore the top 20 industries influencing your market growth
Human and AI Powered Market Intelligence
Find Untapped Markets
Anil
Apr, 2022
To understand potential of AI in manufacturing Industry. .