Artificial Intelligence in Manufacturing Market

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

Report Code: SE 5470 Sep, 2023, by marketsandmarkets.com

Updated on : January 17 , 2024

The Global Artificial Intelligence In Manufacturing Market size is estimated to be valued USD 3.2 billion in 2023 and is anticipated to reach USD 20.8 billion by 2028, at a CAGR of 45.6% during the forecast period. The market growth is ascribed to emerging industrial IoT and automation technology. AI in manufacturing market’s growth in the US is fueled by automation for increased efficiency and lower costs, with predictive maintenance and quality control optimizing processes. Supply chain enhancements and customization capabilities improve overall productivity.

Artificial Intelligence in Manufacturing Market

Artificial Intelligence in Manufacturing Market

Artificial Intelligence in Manufacturing Market Forecast to 2028

To know about the assumptions considered for the study, Request for Free Sample Report

Artificial Intelligence in Manufacturing Trends

Driver: Rising need to handle increasingly large and complex dataset

Digitization in the manufacturing industry has increased the capacity to access, analyze, and manage vast volumes of data while rapidly developing the information architecture in the factory. The data obtained from traditional enterprises and supply chains via sensors play a critical role in the successful operation of a manufacturing plant. A strongly coupled digitized system in the manufacturing industry improves the overall quality and reduces costs by improving defect tracking and forecasting abilities. In this process, data is collected from various sensors installed in the plant.

The data is further processed through big data solutions, which analyze and suggest different mechanisms to improve manufacturing efficiency. AI-based systems aid in various actionable solutions, such as predictive maintenance, production planning, field service, and material movement, which are derived from big data technology. Siemens (Germany) uses big data in AI-based smart boxes that are integrated with sensors and a communications interface for data transfer. By analyzing the data, the AI systems can draw conclusions on the machine’s condition and detect irregularities to provide predictive maintenance. These systems also improve the reliability of power grids by making them smarter and providing the devices that control and monitor electrical networks with AI. This enables devices to classify and localize disruptions in the grid.

The increasing demand for Artificial Intelligence (AI) in the Manufacturing Market of the US region is propelled by the imperative to effectively manage the growing volume and intricacy of data. This trend is accentuated by the integration of advanced manufacturing technologies, the adoption of Industry 4.0 principles, and the evolution towards smart factories. The interconnected nature of IoT devices and automated machinery in these environments results in a substantial influx of data, necessitating AI solutions to process and derive actionable insights.

The applications of AI span predictive maintenance, quality control, customization, and supply chain optimization, all of which involve analyzing large and complex datasets. AI's continuous learning capabilities further contribute to ongoing process improvements, while ensuring regulatory compliance and facilitating efficient reporting. In essence, the rising need to handle extensive datasets underscores AI's pivotal role in enhancing efficiency, innovation, and competitiveness in the dynamic landscape of manufacturing in the US.

Restraint: Reluctance among manufacturers to adopt AI-based technologies

AI technologies provide manufacturers with valuable tools to enhance predictive maintenance and machinery inspection processes. Nonetheless, manufacturers exhibit hesitance when it comes to embracing new technologies, especially AI-based solutions, for their expensive machinery and equipment due to the potential risks of mismanagement leading to increased costs. Furthermore, many manufacturers are doubtful about the capabilities of AI-based solutions in terms of the accuracy of the maintenance and inspection processes. Given these circumstances, it can be somewhat challenging to persuade manufacturers and help them grasp the cost-effectiveness, effectiveness, and safety of AI-based solutions. However, manufacturers are now increasingly accepting the potential benefits of AI-based solutions and the spectrum of applications they serve.

Moreover, the lack of adoption among small and medium-sized businesses (SMB) and slow return on investments are further waning the adoption of AI systems, especially among technologically advancing countries such as India and Brazil The substantial deployment expenses associated with AI systems and a lack of widespread awareness contribute to skepticism about this technology within the manufacturing sector. Moreover, the absence of robust domestic infrastructure and relatively lower focus and investment in AI technology and infrastructure are additional factors constraining the adoption of AI among small and medium-sized businesses (SMBs).

Opportunity: Application of AI-driven machine learning and NLP for intelligent enterprise processes

A significant portion of organizational business processes is presently controlled by inflexible, rule-based software, which has limited capabilities when it comes to addressing crucial issues. These processes are often time-consuming and demand employees to engage in repetitive tasks, thereby impeding both employee productivity and the overall organizational performance. Machine Learning and Natural Language Processing tools generated on AI platforms can help enterprises overcome such challenges with self-learning algorithms, which can reveal new patterns and solutions.

Most organizations use enterprise software, which uses rule-based processing to automate business processes. This task-based automation has helped organizations in improving their productivity in a few specific processes, but such rule-based software cannot self-learn and improve with experience.  Incorporating AI tools like NLP and ML into enterprise software systems enhances their capacity to continuously improve while addressing specific processes. This software can offer ongoing enhancements in performance and productivity to enterprises, rather than delivering just a one-time boost. These factors are seen as driving the demand for intelligent business processes and represent growth opportunities within the AI in manufacturing market.

Challenges:

Lack of skilled workforce, especially in developing countries

To create, oversee, and put into practice complex AI systems, businesses necessitate a workforce equipped with specific skill sets. Individuals tasked with handling AI systems should possess knowledge in technologies like cognitive computing, machine learning, artificial intelligence, deep learning, and image recognition. In emerging economies, the shortage of a qualified workforce presents a noteworthy hurdle, especially when juxtaposed with AI-advanced nations like the United States, the United Kingdom, Japan, and Germany. A move toward an AI-enabled factory floor would require manufacturers to reskill their existing workforce and develop, build, and train AI systems. In addition, the integration of AI solutions into existing systems is a difficult task, requiring extensive data processing for replicating a human brain's behavior. Even a minor error can result in system failure or adversely affect the desired result. Furthermore, the absence of professional standards and certifications in AI/ML technologies is restraining the growth of AI. Additionally, AI service providers are facing challenges with regard to deploying/servicing their solutions at their customers’ sites. This is because of the lack of technology awareness and expertise.

Concerns regarding data privacy and cybersecurity regulations

Manufacturing processes generate substantial amounts of proprietary and confidential information, and the integration of AI introduces new security risks such as unauthorized access, data breaches, and intellectual property theft. Compliance with data privacy regulations, both domestic and international, adds complexity, requiring manufacturers to navigate a regulatory landscape that includes GDPR and industry-specific guidelines. Cross-border data transfers and ethical considerations related to transparency and accountability further complicate AI implementations. Manufacturers must prioritize secure connectivity, address data ownership agreements, and enhance employee training to fortify their cybersecurity measures. Ensuring the integration of AI systems with existing security protocols and developing robust incident response plans are essential components in managing this multifaceted challenge and fostering responsible AI adoption in the US manufacturing sector.

Market Ecosystem

Artificial Intelligence in Manufacturing Market by Ecosystem

Artificial Intelligence in Manufacturing Market: Key Trends

Siemens, IBM, Intel Corporation, NVIDIA Corporation, and General Electric are the top players in the artificial intelligence in manufacturing market. These artificial intelligence in manufacturing companies with advance robotics and AI technology trends with a comprehensive product portfolio and solid geographic footprint.  

Software segment accounted for the largest share of artificial intelligence in manufacturing market in 2022

The artificial intelligence in manufacturing market based on offering has been segmented into hardware, software, and services. The market for the software segment has been sub-segmented into AI platforms and AI solutions. Software segment accounted for the largest share of artificial intelligence in manufacturing market in 2022. AI software are capable of performing intelligent functions. The development of intelligent software involves imitating several capabilities, including reasoning, learning, problem-solving, perception, and knowledge representation. The growing adoption of AI solutions and platforms in various industries and the widening application scope of AI in the manufacturing sector are the prime factors driving the growth of the artificial intelligence in manufacturing market for the software segment.

Predictive maintenance & machinery inspection application to account for the largest share in the market during forecast period.

AI technology in predictive maintenance and machinery inspection is used in regular examination, inspection, lubrication, testing, and making equipment adjustments. The Predictive maintenance is a data-driven approach utilizing artificial intelligence to predict when equipment or machinery will fail.

This prevents breakdowns by allowing maintenance to be performed just in time. AI algorithms, such as machine learning and deep learning models, analyze historical data to identify breakdown patterns and trends. By making predictions about equipment failures and performance degradation, these models can help prevent future issues.

Metals & heavy machinery industry to grow at a highest CAGR during the forecast period.

Metals & heavy machinery comprise the production of different machinery used in construction, infrastructure development, and manufacturing applications. Implementing AI in the metals & heavy machinery industry can help manufacturers analyze machine conditions in advance to avoid unplanned downtime and wastage. Also, AI solutions exhibit predictive maintenance capabilities that help the industry players save time and cost. Field services also play a major role in this industry. Field services are used to collect and sense different data such as heat, sound, light, odor, and eddy current. The collected data is sent to operators to analyze and take action according to the situation in the plant.

Asia Pacific region to grow at a highest CAGR during the forecast period.

This market in Asia Pacific is further divided into China, Japan, South Korea, and Rest of Asia Pacific. the Asia Pacific, led by China, Japan, and South Korea, is considered the largest market for industrial robots. Industrial robots generate a huge amount of data. This data is used in deep learning algorithms to further train the robots. Rapid industrialization in Asia Pacific has boosted the manufacturing sector. Furthermore, Many small and mid-sized enterprises (SMEs) are present in the countries in Asia Pacific considered in this study.

AI implementation can make robots smarter, reduce the downtime of machines, and increase productivity. Such high adoption rate of industrial robots in manufacturing plants is expected to drive the growth of the artificial intelligence in manufacturing market in Asia Pacific.

Artificial Intelligence in Manufacturing Market by Region

Artificial Intelligence in Manufacturing Market by Region

To know about the assumptions considered for the study, download the pdf brochure

Top Artificial Intelligence in Manufacturing Companies - Key Market Players:

The major companies in the artificial intelligence in manufacturing companies are Siemens, IBM, Intel Corporation, NVIDIA Corporation, and General Electric, Microsoft Corporation, Google, Amazon Web Services are among others. These companies have used both organic and inorganic growth strategies, such as product launches, acquisitions, and partnerships to strengthen their position in the artificial intelligence in manufacturing market.

Artificial Intelligence in Manufacturing Market Report Scope :

Report Metric

Details

Estimated Market Size USD 3.2 billion in 2023
Projected Market Size USD 20.8 billion by 2028
Growth Rate CAGR of 45.6%

Years Considered

2019–2028

Base year considered

2022

Forecast period

2023–2028

Forecast units

Value (USD million/billion)

Segments Covered

Offering, Technology, Application, Industry, and Region

Regions covered

North America, Asia Pacific, Europe, and Rest of the World

Companies covered

NVIDIA Corporation (US), IBM (US), Intel Corporation (US), Siemens (Germany), General Electric (US).
A total of 25 players are covered.

Artificial Intelligence in Manufacturing Market Highlights

In this report, the overall artificial intelligence in manufacturing market has been segmented based on Offering, Technology, Application, Industry, and Region.

Segment

Subsegment

By Offering

  • Hardware
  • Software
  • Services

By Technology

  • Machine Learning
  • Natural Language Processing
  • Aware Computing
  • Computer Vision

By Application

  • Predictive Maintenance and Machinery Inspection
  • Inventory Optimization
  • Production Planning
  • Field Services
  • Quality Control
  • Cybersecurity
  • Industrial Robots
  • Reclamation

BY Industry

  • Automotive
  • Energy and Power
  • Metals and Heavy Machinery
  • Semiconductor & Electronics
  • Food & Beverage
  • Pharma
  • Mining
  • Others

By Region

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • South Korea
    • Australia
    • Rest of Asia Pacific
  • Rest of the World
    • Middle East and Africa
    • South America

Recent Developments in Artificial Intelligence in Manufacturing Industry

  • In October 2023, Microsoft and Siemens are joining forces to usher in a new era of human-machine collaboration. The result of the collaboration is the Siemens Industrial Copilot, a powerful AI assistant designed to enhance collaboration between humans and machines in the manufacturing sector.
  • In August 2023, NVIDIA Corporation announced NVIDIA OVX Servers featuring the new NVIDIA® L40S GPU, a powerful, universal data center processor designed to accelerate the most compute-intensive, complex applications, including AI training and inference, 3D design and visualization, video processing and industrial digitalization with the NVIDIA Omniverse platform.
  • In January 2023, Intel Corporation Launched 4th Gen Xeon Scalable Processors, Max Series CPUs and GPUs. These processors are Intel’s most sustainable data center processors, delivering a range of features for optimizing power and performance, making optimal use of CPU resources to help achieve customers’ sustainability goals.
  • In november 2022, IBM announced new software designed to help enterprises break down data and analytics silos so they can make data-driven decisions quickly and navigate unpredictable disruptions. IBM Business Analytics Enterprise is a suite of business intelligence planning, budgeting, reporting, forecasting, and dashboard capabilities that provides users with a robust view of data sources across their entire business.
  • In January 2022, MicroAI, a Texas-based edge AI product developer, is demonstrating its Launchpad quick-start deployment tool along with its new security software at this year’s CES exhibition.

Frequently Asked Questions:

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 36)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 STUDY SCOPE 
           1.3.1 MARKETS COVERED
           1.3.2 REGIONAL SCOPE
           1.3.3 YEARS CONSIDERED
    1.4 CURRENCY CONSIDERED 
    1.5 STAKEHOLDERS 
    1.6 SUMMARY OF CHANGES…. 
           1.6.1 RECESSION IMPACT ANALYSIS
 
2 RESEARCH METHODOLOGY (Page No. - 41)
    2.1 RESEARCH DATA 
           FIGURE 1 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
                    2.1.1.1 List of major secondary sources
                    2.1.1.2 Key data from secondary sources
           2.1.2 PRIMARY DATA
                    2.1.2.1 Primary interviews with experts
                    2.1.2.2 Breakdown of primaries
                    2.1.2.3 Key data from primary sources
           2.1.3 SECONDARY AND PRIMARY RESEARCH
                    2.1.3.1 Key industry insights
    2.2 MARKET SIZE ESTIMATION 
           2.2.1 BOTTOM-UP APPROACH
                    2.2.1.1 Approach to derive market size using bottom-up analysis
                               FIGURE 2 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
           2.2.2 TOP-DOWN APPROACH
                    2.2.2.1 Approach to derive market size using bottom-up analysis
                               FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
                               FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY (SUPPLY SIDE APPROACH)
    2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 
           FIGURE 5 DATA TRIANGULATION
    2.4 RESEARCH ASSUMPTIONS 
           FIGURE 6 ASSUMPTIONS FOR RESEARCH STUDY
    2.5 PARAMETERS CONSIDERED TO ANALYZE IMPACT OF RECESSION ON ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET 
    2.6 RESEARCH LIMITATIONS 
    2.7 RISK ASSESSMENT 
           FIGURE 7 RISK ASSESSMENT OF RESEARCH STUDY
 
3 EXECUTIVE SUMMARY (Page No. - 53)
    FIGURE 8 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, 2019−2028 (USD MILLION)
    FIGURE 9 SOFTWARE OFFERINGS TO CAPTURE LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2028
    FIGURE 10 MACHINE LEARNING TECHNOLOGY TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2028
    FIGURE 11 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION APPLICATION TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023
    FIGURE 12 AUTOMOTIVE INDUSTRY ACCOUNTED FOR LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2022
    FIGURE 13 ASIA PACIFIC TO REGISTER HIGHEST CAGR IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET DURING FORECAST PERIOD
 
4 PREMIUM INSIGHTS (Page No. - 59)
    4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET 
           FIGURE 14 RISING ADOPTION OF IIOT AND AUTOMATION TECHNOLOGY BY MANUFACTURING FIRMS TO DRIVE MARKET GROWTH
    4.2 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING 
           FIGURE 15 SOFTWARE SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023
    4.3 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY 
           FIGURE 16 MACHINE LEARNING SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023
    4.4 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION 
           FIGURE 17 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023
    4.5 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY 
           FIGURE 18 AUTOMOTIVE SEGMENT HELD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC IN 2022
    4.6 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY 
           FIGURE 19 CHINA TO REGISTER HIGHEST CAGR IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET BETWEEN 2023 AND 2028
 
5 MARKET OVERVIEW (Page No. - 64)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 20 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET DYNAMICS
           5.2.1 DRIVERS
                    5.2.1.1 Pressing need to handle large and complex datasets effectively
                    5.2.1.2 Rising adoption of IIoT and automation technologies by manufacturing firms
                    5.2.1.3 Thriving semiconductor chipset industry due to increasing adoption of AI technology
                    5.2.1.4 Growing venture capital and seed funding opportunities for startups entering in AI-driven manufacturing
                               FIGURE 21 IMPACT ANALYSIS OF DRIVERS
           5.2.2 RESTRAINTS
                    5.2.2.1 Reluctance among manufacturers to adopt AI-based technologies
                               FIGURE 22 IMPACT ANALYSIS OF RESTRAINTS
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Utilization of AI-powered predictive analytics and production planning apps to enhance manufacturing efficiency
                    5.2.3.2 Execution of ML and NLP to automate and upgrade business processes
                               FIGURE 23 IMPACT ANALYSIS OF OPPORTUNITIES
           5.2.4 CHALLENGES
                    5.2.4.1 Shortage of skilled workforce, especially in developing countries
                    5.2.4.2 Concerns regarding data privacy and stringent data security regulations
                               FIGURE 24 IMPACT ANALYSIS OF CHALLENGES
    5.3 VALUE CHAIN ANALYSIS 
           FIGURE 25 ARTIFICIAL INTELLIGENCE IN MANUFACTURING VALUE CHAIN ANALYSIS
    5.4 ECOSYSTEM MAPPING 
           FIGURE 26 ECOSYSTEM ANALYSIS
           TABLE 1 ROLE OF MAJOR COMPANIES IN ECOSYSTEM
    5.5 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 
           FIGURE 27 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
    5.6 PORTER’S FIVE FORCES ANALYSIS 
           FIGURE 28 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: PORTER’S FIVE FORCES ANALYSIS
           TABLE 2 IMPACT OF EACH FORCE ON AI IN MANUFACTURING MARKET
           5.6.1 BARGAINING POWER OF SUPPLIERS
           5.6.2 BARGAINING POWER OF BUYERS
           5.6.3 THREAT OF NEW ENTRANTS
           5.6.4 THREAT OF SUBSTITUTES
           5.6.5 INTENSITY OF COMPETITIVE RIVALRY
    5.7 CASE STUDY ANALYSIS 
           TABLE 3 SIEMENS GAMESA DEPLOYED AI SOLUTION TO ACCELERATE INSPECTION SPEED OF TURBINE BLADES
           TABLE 4 VOLVO ADOPTED MACHINE LEARNING-DRIVEN DATA ANALYTICS TO PREDICT VEHICLE BREAKDOWN AND IMPROVE SERVICE
           TABLE 5 ROLLS-ROYCE CHOSE MICROSOFT CORTANA TO SCHEDULE MAINTENANCE PLANS AND REDUCE OPERATIONAL DISRUPTIONS
           TABLE 6 PAPER PACKAGING FIRM IMPLEMENTED EMA APPLICATION SUITE TO IMPROVE PRODUCTION PROCESS AND DIAGNOSE QUALITY ISSUES
    5.8 TECHNOLOGY ANALYSIS 
    5.9 PRICING ANALYSIS 
           5.9.1 AVERAGE SELLING PRICE OF PROCESSORS OFFERED BY KEY PLAYERS
                    FIGURE 29 AVERAGE SELLING PRICE OF KEY PLAYERS, BY PROCESSOR TYPE
                    TABLE 7 AVERAGE SELLING PRICE OF PROCESSORS OFFERED BY KEY PLAYERS, BY TYPE
           5.9.2 AVERAGE SELLING PRICE TREND OF PROCESSORS, BY TYPE
                    TABLE 8 AVERAGE SELLING PRICE OF PROCESSORS, 2022 (USD)
                    TABLE 9 AVERAGE SELLING PRICE OF PROCESSORS USED IN AI-BASED MANUFACTURING, BY REGION, 2022
                    FIGURE 30 AVERAGE SELLING PRICE OF PROCESSORS, 2019–2028 (USD)
    5.10 TRADE ANALYSIS 
           5.10.1 IMPORT SCENARIO
                    FIGURE 31 IMPORT VALUES, BY KEY COUNTRY, 2018–2022 (USD MILLION)
           5.10.2 EXPORT SCENARIO
                    FIGURE 32 EXPORT VALUES, BY KEY COUNTRY, 2018–2022 (USD MILLION)
    5.11 PATENT ANALYSIS 
           FIGURE 33 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS
           TABLE 10 TOP 20 PATENT OWNERS IN US IN LAST 10 YEARS
           FIGURE 34 NUMBER OF PATENTS GRANTED PER YEAR FROM 2013 TO 2022
           TABLE 11 RECENT PATENTS RELATED TO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
    5.12 KEY STAKEHOLDERS AND BUYING CRITERIA 
           5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 35 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS
                    TABLE 12 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS (%)
           5.12.2 BUYING CRITERIA
                    FIGURE 36 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS
                    TABLE 13 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS
    5.13 KEY CONFERENCES AND EVENTS, 2023–2025 
           TABLE 14 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: CONFERENCES AND EVENTS
    5.14 REGULATORY LANDSCAPE 
           5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 15 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 16 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 17 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 18 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.14.2 STANDARDS IN ITS/C-ITS
                    TABLE 19 SECURITY AND PRIVACY STANDARDS DEVELOPED BY EUROPEAN TELECOMMUNICATION STANDARDS INSTITUTE (ETSI)
 
6 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING (Page No. - 94)
    6.1 INTRODUCTION 
           FIGURE 37 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING
           FIGURE 38 SOFTWARE SEGMENT TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2028
           TABLE 20 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING, 2019–2022 (USD MILLION)
           TABLE 21 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING, 2023–2028 (USD MILLION)
    6.2 HARDWARE 
           TABLE 22 HARDWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019–2022 (USD MILLION)
           TABLE 23 HARDWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023–2028 (USD MILLION)
           6.2.1 PROCESSORS
                    6.2.1.1 Robust parallel processing capabilities of processors to foster adoption in AI applications
                               6.2.1.1.1 Microprocessor units (MPUs)
                               6.2.1.1.2 Graphics processing units (GPUs)
                               6.2.1.1.3 Field programmable gate array (FPGA)
                               6.2.1.1.4 Application-specific integrated circuits (ASICs)
           6.2.2 MEMORY DEVICES
                    6.2.2.1 High demand for high-bandwidth memory devices to drive market
           6.2.3 NETWORK DEVICES
                    6.2.3.1 Increased implementation of Ethernet adaptors and interconnects to create opportunities for network device providers
    6.3 SOFTWARE 
           TABLE 24 SOFTWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019–2022 (USD MILLION)
           TABLE 25 SOFTWARE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023–2028 (USD MILLION)
           6.3.1 AI SOLUTIONS
                    6.3.1.1 Rising use of nonprocedural languages to develop AI solutions to boost segmental growth
                               TABLE 26 AI SOLUTIONS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY DEPLOYMENT TYPE, 2019–2022 (USD MILLION)
                               TABLE 27 AI SOLUTIONS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY DEPLOYMENT TYPE, 2023–2028 (USD MILLION)
                    6.3.1.2 On-premises
                               6.3.1.2.1 Greater flexibility and control offered by on-premises AI solutions to fuel segmental growth
                    6.3.1.3 Cloud
                               6.3.1.3.1 Reduced operational costs, hassle-free deployment, and high scalability provided by cloud deployment model to drive segmental growth
           6.3.2 AI PLATFORMS
                    6.3.2.1 Increasing adoption of AI platforms to develop learning algorithms and intelligent applications to support segmental growth
                               TABLE 28 AI PLATFORMS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY PLATFORM TYPE, 2019–2022 (USD MILLION)
                               TABLE 29 AI PLATFORMS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY PLATFORM TYPE, 2023–2028 (USD MILLION)
                    6.3.2.2 Machine learning framework
                    6.3.2.3 Application program interface (API)
    6.4 SERVICES 
           TABLE 30 SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019–2022 (USD MILLION)
           TABLE 31 SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023–2028 (USD MILLION)
           6.4.1 DEPLOYMENT & INTEGRATION
                    6.4.1.1 Growing demand for deployment and integration services while configuring AI systems in manufacturing sector to drive market
           6.4.2 SUPPORT & MAINTENANCE
                    6.4.2.1 Increasing demand for support & maintenance services to keep systems at acceptable standards to fuel market growth
 
7 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY (Page No. - 107)
    7.1 INTRODUCTION 
           FIGURE 39 MACHINE LEARNING TECHNOLOGY TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING IN 2028
           TABLE 32 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
           TABLE 33 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
    7.2 MACHINE LEARNING 
           7.2.1 ADVANCEMENTS IN DEEP LEARNING, SUPERVISED LEARNING, AND REINFORCEMENT LEARNING TECHNOLOGIES TO DRIVE MARKET
                    TABLE 34 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019–2022 (USD MILLION)
                    TABLE 35 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023–2028 (USD MILLION)
                    TABLE 36 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
                    TABLE 37 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
           7.2.2 DEEP LEARNING
                    7.2.2.1 Growing penetration of IoT, automation, and machine vision technologies in manufacturing plants to drive market
           7.2.3 SUPERVISED LEARNING
                    7.2.3.1 Image recognition, facial recognition, and predictive analytics to contribute to market growth
           7.2.4 REINFORCEMENT LEARNING
                    7.2.4.1 Potential to automatically determine context-specific ideal behavior to maximize performance to drive market
           7.2.5 UNSUPERVISED LEARNING
                    7.2.5.1 Use of algorithms to find hidden data patterns or groupings in large datasets to boost adoption of unsupervised learning technology
           7.2.6 OTHER TECHNOLOGY TYPES
    7.3 NATURAL LANGUAGE PROCESSING 
           7.3.1 RISING USE OF NLP-DRIVEN TOOLS TO AUTOMATE COMPLEX BUSINESS PROCESSES TO DRIVE MARKET
                    TABLE 38 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
                    TABLE 39 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
    7.4 CONTEXT-AWARE COMPUTING 
           7.4.1 INCREASING FOCUS ON MAKING REAL-TIME DECISIONS TO ENHANCE QUALITY, SAFETY, AND PRODUCTIVITY TO BOOST DEMAND IN MANUFACTURING SECTOR
                    TABLE 40 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2019–2022 (USD MILLION)
                    TABLE 41 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TYPE, 2023–2028 (USD MILLION)
                    TABLE 42 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
                    TABLE 43 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
    7.5 COMPUTER VISION 
           7.5.1 INTEGRATION OF COMPUTER VISION TECHNOLOGY TO ANALYZE 3D OBJECTS AND MINIMIZE MATERIAL WASTE TO DRIVE MARKET
                    TABLE 44 COMPUTER VISION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
                    TABLE 45 COMPUTER VISION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
 
8 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION (Page No. - 120)
    8.1 INTRODUCTION 
           FIGURE 40 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION
           FIGURE 41 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023
           TABLE 46 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
           TABLE 47 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
    8.2 INVENTORY OPTIMIZATION 
           8.2.1 GROWING IMPLEMENTATION OF AI IN MANUFACTURING SECTOR TO ACHIEVE COST-EFFICIENCY AND ENSURE TIMELY PRODUCT DELIVERY TO DRIVE MARKET
                    TABLE 48 INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
                    TABLE 49 INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                    TABLE 50 INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 51 INVENTORY OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.3 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION 
           8.3.1 INCREASING ADOPTION OF LEARNING TECHNOLOGY TO PREVENT UNEXPECTED DOWNTIME DUE TO MACHINE FAILURE TO FUEL MARKET GROWTH
                    FIGURE 42 MACHINE LEARNING TECHNOLOGY TO DOMINATE MARKET FOR PREDICTIVE MAINTENANCE & MACHINERY INSPECTION APPLICATIONS DURING FORECAST PERIOD
                    TABLE 52 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
                    TABLE 53 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                    TABLE 54 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 55 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.4 PRODUCTION PLANNING 
           8.4.1 RISING USE OF BIG DATA ANALYTICS IN PRODUCTION PLANNING TO FOSTER MARKET GROWTH
                    TABLE 56 PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
                    TABLE 57 PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                    TABLE 58 PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 59 PRODUCTION PLANNING: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.5 FIELD SERVICES 
           8.5.1 SURGING USE OF AI-POWERED SOLUTIONS IN FIELD SERVICES OFFERED TO OIL & GAS AND ENERGY & POWER INDUSTRY PLAYERS TO SUPPORT MARKET GROWTH
                    TABLE 60 FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
                    TABLE 61 FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                    TABLE 62 FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 63 FIELD SERVICES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.6 RECLAMATION 
           8.6.1 ELEVATING DEMAND FOR COMPUTER VISION TECHNOLOGY TO IDENTIFY AND SORT RECYCLABLE MATERIALS TO DRIVE MARKET
                    TABLE 64 RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
                    TABLE 65 RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                    TABLE 66 RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 67 RECLAMATION: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.7 QUALITY CONTROL 
           8.7.1 GROWING USE OF AI-POWERED QUALITY CONTROL SYSTEMS BY PHARMACEUTICAL AND FOOD & BEVERAGE COMPANIES TO ACCELERATE MARKET GROWTH
                    TABLE 68 QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
                    TABLE 69 QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                    TABLE 70 QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 71 QUALITY CONTROL: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.8 CYBERSECURITY 
           8.8.1 HIGH EMPHASIS OF AUTOMATED PLANTS ON AVOIDING DATA BREACHES TO BOOST DEMAND FOR AI-DRIVEN CYBERSECURITY SOLUTIONS
                    TABLE 72 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
                    TABLE 73 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                    FIGURE 43 ASIA PACIFIC TO HOLD LARGEST MARKET SHARE FOR CYBERSECURITY APPLICATIONS IN 2023
                    TABLE 74 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 75 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.9 INDUSTRIAL ROBOTS 
           8.9.1 SEAMLESS INTEGRATION OF AI INTO INDUSTRIAL ROBOTS TO IMPROVE PRODUCTION AND EFFICIENCY TO DRIVE MARKET
                    TABLE 76 INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
                    TABLE 77 INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                    TABLE 78 INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 79 INDUSTRIAL ROBOTS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)
 
9 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY (Page No. - 140)
    9.1 INTRODUCTION 
           FIGURE 44 AUTOMOTIVE INDUSTRY HELD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023
           TABLE 80 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019–2022 (USD MILLION)
           TABLE 81 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023–2028 (USD MILLION)
    9.2 AUTOMOTIVE 
           9.2.1 INCREASING ADOPTION OF ML AND COMPUTER VISION TECHNOLOGIES TO ENSURE FLAWLESS PRODUCTION OF VEHICLE PARTS TO DRIVE MARKET
                    TABLE 82 AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)
           FIGURE 45 ASIA PACIFIC TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET FOR AUTOMOTIVE INDUSTRY IN 2028
                    TABLE 83 AUTOMOTIVE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.3 ENERGY & POWER 
           9.3.1 GROWING IMPLEMENTATION OF AI TO MINIMIZE ENERGY WASTE AND REDUCE ENERGY COSTS TO BOOST SEGMENTAL GROWTH
                    TABLE 84 ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 85 ENERGY & POWER: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.4 PHARMACEUTICALS 
           9.4.1 RISING USE OF AI IN QUALITY CONTROL AND PRODUCTION PLANNING APPLICATIONS TO STIMULATE MARKET GROWTH
                    TABLE 86 PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)
                    FIGURE 46 NORTH AMERICA TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET FOR PHARMACEUTICALS INDUSTRY IN 2028
                    TABLE 87 PHARMACEUTICALS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.5 METALS & HEAVY MACHINERY 
           9.5.1 INCREASED USE OF ROBOTICS IN METALS & HEAVY MACHINERY INDUSTRY TO AVOID UNPLANNED DOWNTIME AND WASTAGE TO DRIVE MARKET
                    TABLE 88 METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 89 METALS & HEAVY MACHINERY: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.6 SEMICONDUCTOR & ELECTRONICS 
           9.6.1 SURGING FOCUS ON DEVELOPING MINIATURE SEMICONDUCTOR AND ELECTRONICS EQUIPMENT TO BOOST ADOPTION OF AI-BASED INDUSTRIAL ROBOTS
                    TABLE 90 SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 91 SEMICONDUCTOR & ELECTRONICS: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.7 FOOD & BEVERAGES 
           9.7.1 GROWING ADOPTION OF AUTOMATION TO MAINTAIN HYGIENIC FOOD PROCESSING SOLUTIONS TO FUEL MARKET GROWTH
                    TABLE 92 FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 93 FOOD & BEVERAGES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.8 OTHER INDUSTRIES 
           TABLE 94 OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 95 OTHER INDUSTRIES: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)
 
10 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION (Page No. - 154)
     10.1 INTRODUCTION 
             FIGURE 47 CHINA, SOUTH KOREA, UK, AND US TO BE HOTSPOTS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
             FIGURE 48 ASIA PACIFIC TO DOMINATE ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET THROUGHOUT FORECAST PERIOD
             TABLE 96 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)
             TABLE 97 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.2 NORTH AMERICA 
             10.2.1 NORTH AMERICA: RECESSION IMPACT
                        FIGURE 49 SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN NORTH AMERICA
                        TABLE 98 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
                        TABLE 99 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
                        TABLE 100 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019–2022 (USD MILLION)
                        TABLE 101 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023–2028 (USD MILLION)
             10.2.2 US
                        10.2.2.1 Rising adoption of industrial robots due to shortage of skilled workforce to drive market
             10.2.3 CANADA
                        10.2.3.1 Increasing investments by SMEs in IoT to boost demand for AI-based solutions
             10.2.4 MEXICO
                        10.2.4.1 Surging foreign direct investments in AI and robotics to support market growth
     10.3 EUROPE 
             10.3.1 EUROPE: RECESSION IMPACT
                        FIGURE 50 SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN EUROPE
                        TABLE 102 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
                        TABLE 103 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
                        FIGURE 51 GERMANY HELD LARGEST SHARE OF EUROPEAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2022
                        TABLE 104 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019–2022 (USD MILLION)
                        TABLE 105 EUROPE: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023–2028 (USD MILLION)
             10.3.2 GERMANY
                        10.3.2.1 High adoption of computer vision systems to get real-time manufacturing data to fuel market growth
             10.3.3 UK
                        10.3.3.1 Increasing investment by government in robotics and AI technologies to foster market growth
             10.3.4 FRANCE
                        10.3.4.1 Rising adoption of AI by manufacturing firms to fuel market growth
             10.3.5 REST OF EUROPE
     10.4 ASIA PACIFIC 
             FIGURE 52 SNAPSHOT OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN ASIA PACIFIC
             TABLE 106 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
             TABLE 107 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             TABLE 108 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019–2022 (USD MILLION)
             TABLE 109 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023–2028 (USD MILLION)
             10.4.1 CHINA
                        10.4.1.1 Strategic planning to achieve Next Generation AI goal by 2030 to boost demand for AI technology by manufacturing firms
             10.4.2 JAPAN
                        10.4.2.1 Strong presence of top-tier IT, machinery, and automobile manufacturing firms to support market growth
             10.4.3 SOUTH KOREA
                        10.4.3.1 Presence of massive computing data centers for AI research to contribute to market growth
             10.4.4 REST OF ASIA PACIFIC
     10.5 ROW 
             TABLE 110 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2019–2022 (USD MILLION)
             TABLE 111 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION, 2023–2028 (USD MILLION)
             TABLE 112 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2019–2022 (USD MILLION)
             TABLE 113 ROW: ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY, 2023–2028 (USD MILLION)
             10.5.1 SOUTH AMERICA
                        10.5.1.1 Increased investments in IT infrastructure development to fuel market growth
             10.5.2 MIDDLE EAST & AFRICA
                        10.5.2.1 Increasing deployment of cloud-based cognitive computing in manufacturing sector to drive market
 
11 COMPETITIVE LANDSCAPE (Page No. - 178)
     11.1 INTRODUCTION 
     11.2 MAJOR STRATEGIES ADOPTED BY KEY PLAYERS 
             TABLE 114 OVERVIEW OF STRATEGIES ADOPTED BY PLAYERS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
     11.3 REVENUE ANALYSIS OF TOP 5 PLAYERS 
             FIGURE 53 FIVE-YEAR REVENUE ANALYSIS OF TOP 5 PLAYERS IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
     11.4 MARKET SHARE ANALYSIS 
             TABLE 115 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE ANALYSIS, 2022
             FIGURE 54 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE, BY COMPANY, 2022
     11.5 COMPANY EVALUATION MATRIX, 2022 
             11.5.1 STARS
             11.5.2 PERVASIVE PLAYERS
             11.5.3 EMERGING LEADERS
             11.5.4 PARTICIPANTS
                        FIGURE 55 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET (GLOBAL) COMPANY EVALUATION MATRIX, 2022
     11.6 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: COMPANY FOOTPRINT 
             11.6.1 COMPANY FOOTPRINT OF TOP PLAYERS
                        TABLE 116 APPLICATION AND REGIONAL FOOTPRINT OF TOP COMPANIES
                        TABLE 117 APPLICATION FOOTPRINT OF KEY COMPANIES
                        TABLE 118 OFFERING FOOTPRINT OF KEY COMPANIES
                        TABLE 119 REGIONAL FOOTPRINT OF KEY COMPANIES
     11.7 SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION MATRIX, 2022 
             11.7.1 PROGRESSIVE COMPANIES
             11.7.2 RESPONSIVE COMPANIES
             11.7.3 DYNAMIC COMPANIES
             11.7.4 STARTING BLOCKS
                        FIGURE 56 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET (GLOBAL) SME EVALUATION MATRIX, 2022
     11.8 COMPETITIVE BENCHMARKING 
             TABLE 120 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: LIST OF KEY STARTUPS/SMES
             TABLE 121 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
     11.9 COMPETITIVE SITUATIONS AND TRENDS 
             TABLE 122 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: PRODUCT LAUNCHES, 2021–2023
             TABLE 123 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: DEALS, 2021–2023
             TABLE 124 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: OTHERS, 2021–2023
 
12 COMPANY PROFILES (Page No. - 203)
(Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats))*  
     12.1 KEY PLAYERS 
             12.1.1 NVIDIA CORPORATION
                        TABLE 125 NVIDIA CORPORATION: COMPANY OVERVIEW
                        FIGURE 57 NVIDIA CORPORATION: COMPANY SNAPSHOT
                        TABLE 126 NVIDIA CORPORATION: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 127 NVIDIA CORPORATION: PRODUCT LAUNCHES
                        TABLE 128 NVIDIA CORPORATION: DEALS
             12.1.2 IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION)
                        TABLE 129 IBM: COMPANY OVERVIEW
                        FIGURE 58 IBM: COMPANY SNAPSHOT
                        TABLE 130 IBM: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 131 IBM: PRODUCT LAUNCHES
                        TABLE 132 IBM: DEALS
             12.1.3 INTEL CORPORATION
                        TABLE 133 INTEL CORPORATION: COMPANY OVERVIEW
                        FIGURE 59 INTEL CORPORATION: COMPANY SNAPSHOT
                        TABLE 134 INTEL CORPORATION: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 135 INTEL CORPORATION: PRODUCT LAUNCHES
                        TABLE 136 INTEL CORPORATION: DEALS
             12.1.4 SIEMENS
                        TABLE 137 SIEMENS: COMPANY OVERVIEW
                        FIGURE 60 SIEMENS: COMPANY SNAPSHOT
                        TABLE 138 SIEMENS: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 139 SIEMENS: PRODUCT LAUNCHES
                        TABLE 140 SIEMENS: DEALS
             12.1.5 GENERAL ELECTRIC
                        TABLE 141 GENERAL ELECTRIC: COMPANY OVERVIEW
                        FIGURE 61 GENERAL ELECTRIC: COMPANY SNAPSHOT
                        TABLE 142 GENERAL ELECTRIC: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 143 GENERAL ELECTRIC: PRODUCT LAUNCHES
                        TABLE 144 GENERAL ELECTRIC: DEALS
             12.1.6 GOOGLE LLC
                        TABLE 145 GOOGLE LLC: COMPANY OVERVIEW
                        FIGURE 62 GOOGLE LLC: COMPANY SNAPSHOT
                        TABLE 146 GOOGLE LLC: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 147 GOOGLE LLC: PRODUCT LAUNCHES
                        TABLE 148 GOOGLE LLC: DEALS
             12.1.7 MICROSOFT
                        TABLE 149 MICROSOFT: COMPANY OVERVIEW
                        FIGURE 63 MICROSOFT: COMPANY SNAPSHOT
                        TABLE 150 MICROSOFT: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 151 MICROSOFT: PRODUCT LAUNCHES
                        TABLE 152 MICROSOFT: DEALS
             12.1.8 MICRON TECHNOLOGY, INC.
                        TABLE 153 MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW
                        FIGURE 64 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT
                        TABLE 154 MICRON TECHNOLOGY, INC.: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 155 MICRON TECHNOLOGY, INC.: PRODUCT LAUNCHES
                        TABLE 156 MICRON TECHNOLOGY: DEALS
                        TABLE 157 MICRON TECHNOLOGY, INC.: OTHERS
             12.1.9 AMAZON WEB SERVICES, INC. (AWS)
                        TABLE 158 AMAZON WEB SERVICES, INC.: COMPANY OVERVIEW
                        FIGURE 65 AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
                        TABLE 159 AMAZON WEB SERVICES, INC.: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 160 AMAZON WEB SERVICES, INC.: PRODUCT LAUNCHES
                        TABLE 161 AMAZON WEB SERVICES, INC.: DEALS
             12.1.10 SIGHT MACHINE
                        TABLE 162 SIGHT MACHINE: COMPANY OVERVIEW
                        TABLE 163 SIGHT MACHINE: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 164 SIGHT MACHINE: PRODUCT LAUNCHES
                        TABLE 165 SIGHT MACHINE: DEALS
     12.2 OTHER PLAYERS 
             12.2.1 PROGRESS SOFTWARE CORPORATION (DATARPM)
                        TABLE 166 PROGRESS SOFTWARE CORPORATION (DATARPM): COMPANY OVERVIEW
             12.2.2 AIBRAIN INC.
                        TABLE 167 AIBRAIN INC.: COMPANY OVERVIEW
             12.2.3 GENERAL VISION INC.
                        TABLE 168 GENERAL VISION INC.: COMPANY OVERVIEW
             12.2.4 ROCKWELL AUTOMATION
                        TABLE 169 ROCKWELL AUTOMATION: COMPANY OVERVIEW
             12.2.5 CISCO SYSTEMS, INC.
                        TABLE 170 CISCO SYSTEMS, INC.: COMPANY OVERVIEW
             12.2.6 MITSUBISHI ELECTRIC CORPORATION
                        TABLE 171 MITSUBISHI ELECTRIC CORPORATION: COMPANY OVERVIEW
             12.2.7 ORACLE
                        TABLE 172 ORACLE: COMPANY OVERVIEW
             12.2.8 SAP
                        TABLE 173 SAP: COMPANY OVERVIEW
             12.2.9 VICARIOUS
                        TABLE 174 VICARIOUS: COMPANY OVERVIEW
             12.2.10 UBTECH ROBOTICS CORP LTD
                        TABLE 175 UBTECH ROBOTICS CORP LTD: COMPANY OVERVIEW
             12.2.11 AQUANT
                        TABLE 176 AQUANT: COMPANY OVERVIEW
             12.2.12 BRIGHT MACHINES, INC.
                        TABLE 177 BRIGHT MACHINES, INC.: COMPANY OVERVIEW
             12.2.13 RETHINK ROBOTICS GMBH
                        TABLE 178 RETHINK ROBOTICS GMBH: COMPANY OVERVIEW
             12.2.14 SPARKCOGNITION
                        TABLE 179 SPARKCOGNITION: COMPANY OVERVIEW
             12.2.15 FLUTURA
                        TABLE 180 FLUTURA: COMPANY OVERVIEW
*Details on Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats) might not be captured in case of unlisted companies.  
 
13 ADJACENT MARKET (Page No. - 264)
     13.1 SMART FACTORY MARKET 
     13.2 INTRODUCTION 
             FIGURE 66 SMART FACTORY MARKET, BY COMPONENT
             FIGURE 67 INDUSTRIAL SENSORS TO HOLD LARGEST SHARE OF SMART FACTORY MARKET FOR COMPONENTS IN 2027
             TABLE 181 SMART FACTORY MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
             TABLE 182 SMART FACTORY MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
     13.3 INDUSTRIAL SENSORS 
             TABLE 183 INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY SENSOR TYPE, 2018–2021 (USD MILLION)
             TABLE 184 INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY SENSOR TYPE, 2022–2027 (USD MILLION)
             TABLE 185 INDUSTRIAL SENSORS: SMART FACTORY MARKET, 2018–2021 (MILLION UNITS)
             TABLE 186 INDUSTRIAL SENSORS: SMART FACTORY MARKET, 2022–2027 (MILLION UNITS)
             TABLE 187 INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY REGION, 2018–2021 (USD MILLION)
             TABLE 188 INDUSTRIAL SENSORS: SMART FACTORY MARKET, BY REGION, 2022–2027 (USD MILLION)
             13.3.1 LEVEL SENSORS
                        13.3.1.1 Rising demand for level sensors to detect and measure levels of liquids, bulk solids, and other fluids to drive market
             13.3.2 TEMPERATURE SENSORS
                        13.3.2.1 Increasing use of temperature sensors in chemicals, energy & power, and oil & gas vertical to support market growth
             13.3.3 FLOW SENSORS
                        13.3.3.1 Rising adoption of flow sensors to measure rate of fluid flow either directly or inferentially to fuel market growth
             13.3.4 POSITION SENSORS
                        13.3.4.1 Increasing application areas of position sensors increasing with technological advancements to drive market
             13.3.5 PRESSURE SENSORS
                        13.3.5.1 Growing adoption of pressure sensors in semiconductor processing, robotics, and test & measurement in industrial applications to contribute to market growth
             13.3.6 FORCE SENSORS
                        13.3.6.1 Rising use of force sensors to ensure safe robot and human interaction to drive market
             13.3.7 HUMIDITY & MOISTURE SENSORS
                        13.3.7.1 Extensive use of humidity and moisture sensors in chemicals, pharmaceuticals, oil & gas, and food & beverages verticals to drive market
             13.3.8 IMAGE SENSORS
                        13.3.8.1 Increasing adoption of image sensors to convert optical images into electronic signals to support market growth
             13.3.9 GAS SENSORS
                        13.3.9.1 Surging adoption of gas sensors to measure concentration of different gases in air to contribute to market growth
     13.4 INDUSTRIAL ROBOTS 
             TABLE 189 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2018–2021 (USD MILLION)
             TABLE 190 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2022–2027 (USD MILLION)
             TABLE 191 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2018–2021 (THOUSAND UNITS)
             TABLE 192 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY TYPE, 2022–2027 (THOUSAND UNITS)
             TABLE 193 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY REGION, 2018–2021 (USD MILLION)
             TABLE 194 INDUSTRIAL ROBOTS: SMART FACTORY MARKET, BY REGION, 2022–2027 (USD MILLION)
             13.4.1 TRADITIONAL INDUSTRIAL ROBOTS
                        13.4.1.1 Articulated robots
                                     13.4.1.1.1 Growing use of articulated robots in assembly and welding to drive segmental growth
                        13.4.1.2 Cartesian robots
                                     13.4.1.2.1 Potential to carry heavy loads to boost demand for cartesian robots in industrial applications
                        13.4.1.3 Selective compliance assembly robot arm (SCARA) robots
                                     13.4.1.3.1 Growing utilization of SCARA robots in welding and spray-painting operations to fuel market growth
                        13.4.1.4 Cylindrical robots
                                     13.4.1.4.1 Suitability of cylindrical robots for pick and place operations to drive market
                        13.4.1.5 Other robots
             13.4.2 COLLABORATIVE ROBOTS
                        13.4.2.1 Highest adoption rate of collaborative robots in industrial applications to drive market
     13.5 INDUSTRIAL 3D PRINTERS 
             13.5.1 RISING ADOPTION OF INDUSTRIAL PRINTERS TO CONSTRUCT THREE-DIMENSIONAL SOLID OBJECTS TO DRIVE MARKET
                        TABLE 195 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY OFFERING, 2018–2021 (USD MILLION)
                        TABLE 196 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY OFFERING, 2022–2027 (USD MILLION)
                        TABLE 197 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, 2018–2021 (MILLION UNITS)
                        TABLE 198 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, 2022–2027 (MILLION UNITS)
                        TABLE 199 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY PROCESS, 2018–2021 (USD MILLION)
                        TABLE 200 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY PROCESS, 2022–2027 (USD MILLION)
                        TABLE 201 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY REGION, 2018–2021 (USD MILLION)
                        TABLE 202 INDUSTRIAL 3D PRINTERS: SMART FACTORY MARKET, BY REGION, 2022–2027 (USD MILLION)
     13.6 MACHINE VISION SYSTEMS 
             TABLE 203 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY PRODUCT, 2018–2021 (USD MILLION)
             TABLE 204 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY PRODUCT, 2022–2027 (USD MILLION)
             TABLE 205 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
             TABLE 206 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
             TABLE 207 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY REGION, 2018–2021 (USD MILLION)
             TABLE 208 MACHINE VISION SYSTEMS: SMART FACTORY MARKET, BY REGION, 2022–2027 (USD MILLION)
             13.6.1 CAMERAS
                        13.6.1.1 Rising need for high-quality images to boost demand for smart cameras
             13.6.2 FRAME GRABBERS, OPTICS, AND LED LIGHTING
                        13.6.2.1 Influence of position and quality of other key components, such as LEDs and frame grabbers, on image quality to lead to high demand
             13.6.3 PROCESSORS AND SOFTWARE
                        13.6.3.1 Growing integration of processors and software in machine vision systems to drive market
 
14 APPENDIX (Page No. - 282)
     14.1 INSIGHTS FROM INDUSTRY EXPERTS 
     14.2 DISCUSSION GUIDE 
     14.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     14.4 CUSTOMIZATION OPTIONS 
     14.5 RELATED REPORTS 
     14.6 AUTHOR DETAILS 
 

 

The study involves four major activities that estimate the size of the artificial intelligence in manufacturing market. Exhaustive secondary research was conducted to collect information related to the market. Following this was validating these findings, assumptions, and sizing with the industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the overall size of the artificial intelligence in manufacturing market. Subsequently, market breakdown and data triangulation procedures were used to determine the extent of different segments and subsegments of the market.

Secondary Research

Secondary sources in this research study include corporate filings (such as annual reports, investor presentations, and financial statements); trade, business, and professional associations; white papers, certified publications, articles from recognized authors; directories; and databases. The secondary data were collected and analyzed to estimate the overall market size, further validated by primary research. The relevant data is collected from various secondary sources, it is analyzed to extract insights and information relevant to the market research objectives. This analysis has involved summarizing the data, identifying trends, and drawing conclusions based on the available information.

Primary Research

In the primary research process, numerous sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information about this report. The primary sources from the supply-side included various industry experts such as Chief X Officers (CXOs), Vice Presidents (VPs), and Directors from business development, marketing, product development/innovation teams, and related key executives from artificial intelligence in manufacturing providers, (such as Siemens, NVIDIA Corporation, IBM, Intel Corporation, General Electric) research organizations, distributors, professional and managed service providers, industry associations, and key opinion leaders. Approximately 25% of the primary interviews were conducted with the demand side and 75% with the supply side. These data were collected mainly through questionnaires, emails, and telephonic interviews, accounting for 80% of the primary interviews.

Artificial Intelligence in Manufacturing Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

In the market engineering process, both top-down and bottom-up approaches were implemented, along with several data triangulation methods, to estimate and validate the size of the artificial intelligence in manufacturing market and other dependent submarkets listed in this report.

  • The key players in the industry and markets were identified through extensive secondary research.
  • Both the supply chain of the industry and the market size, in terms of value, were determined through primary and secondary research.
  • All percentage shares, splits, and breakdowns were determined using secondary sources and verified through primary sources.
  • Market Size Estimation Methodology-Bottom-up approach

Artificial Intelligence in Manufacturing Market Size, and Bottom-up approach

Artificial Intelligence in Manufacturing Market Size, and Top-Down Approach

Data Triangulation

After estimating the overall market size, the total market was split into several segments. The market breakdown and data triangulation procedures were employed wherever applicable to complete the overall market engineering process and gauge exact statistics for all segments. The data were triangulated by studying various factors and trends from both the demand and supply sides. The market was also validated using both top-down and bottom-up approaches.

Market Definition

Artificial intelligence (AI) in manufacturing is defined as the replication of human intelligence used to communicate with machines, extract data from fields, analyze the extracted data, and perform required tasks. Tasks ranging from material movement to machinery inspection and self-diagnostics, which are usually performed by human labor or robots with the help of human intelligence, can be performed by AI-based systems in less time, at lower cost, and without human intervention.

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 and beverage companies
  • Packaging companies
  • Pharmaceutical companies
  • Manufacturing consulting companies
  • Investors and venture capitalists
  • Manufacturers implementing AI technology
  • Government bodies, venture capitalists, and private equity firms

The main objectives of this study are as follows:

  • 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 regarding major factors influencing the market growth (drivers, restraints, opportunities, and challenges)
  • To strategically analyze micromarkets1 with respect to individual growth trends, prospects, and contributions to the total market
  • To analyze the probable impact of the recession on the market in the future
  • To study the complete value chain of the artificial intelligence in manufacturing ecosystem, along with market trends and use cases
  • To profile key players and comprehensively analyze their market positions in terms of ranking and core competencies2, 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 and development (R&D) in the Artificial Intelligence in manufacturing market

Available Customizations:

With the given market data, MarketsandMarkets offer customizations according to the specific requirements of companies. The following customization options are available for the report:

Country-wise Information:

  • Analysis for additional countries (up to five)

Company Information:

  • Detailed analysis and profiling of different market players (up to five)
Custom Market Research Services

We will customize the research for you, in case the report listed above does not meet with your exact requirements. Our custom research will comprehensively cover the business information you require to help you arrive at strategic and profitable business decisions.

Request Customization

Instant Answers with GPT - Ask Now!

Ask real questions. Get complete answers !
Report Code
SE 5470
Published ON
Sep, 2023
Choose License Type
BUY NOW
  • SHARE
X
Request Customization
Speak to Analyst
Speak to Analyst
OR FACE-TO-FACE MEETING
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
REQUEST A FREE CUSTOMIZATION
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
CUSTOMIZED WORKSHOP REQUEST
  • Call Us
  • +1-888-600-6441 (Corporate office hours)
  • +1-888-600-6441 (US/Can toll free)
  • +44-800-368-9399 (UK office hours)
CONNECT WITH US
ABOUT TRUST ONLINE
©2024 MarketsandMarkets Research Private Ltd. All rights reserved
DMCA.com Protection Status Website Feedback