Artificial Intelligence in Manufacturing Market

Artificial Intelligence in Manufacturing Market by Offering (Hardware, Software, and Services), Technology (Machine Learning, Computer Vision, Context-Aware Computing, and NLP), Application, End-user Industry and Region - Global Forecast to 2026

Report Code: SE 5470 Jul, 2020, by marketsandmarkets.com

[301 Pages Reporet] The AI in manufacturing market is expected to be valued at USD 1.1 billion in 2020 and is likely to reach USD 16.7 billion by 2026; it is expected to grow at a CAGR of 57.2% during the forecast period. The major drivers for the market are the increasing number of large and complex datasets (often known as big data), evolving Industrial IoT and automation, improving computing power, and increasing venture capital investments.

Artificial Intelligence in Manufacturing Market

COVID-19 Impact on the Global AI in Manufacturing Market

The ongoing COVID-19 pandemic has caused disruptions in economies. It is likely to cause supply chain mayhem and eventually force companies and entire industries to rethink and adapt to the global supply chain model. Many manufacturing companies have halted their production, which has collaterally damaged the supply chain and the industry. The industries have started to restructure their business model for 2020, and many SMEs and large manufacturing plants have halted/postponed any new technology upgrade in their factories in order to recover from the losses caused by the lockdown and economic slowdown.

The growth in the adoption of AI solutions is completely dependent on the growth of manufacturing units. However, in the current situation, manufacturing ecosystems have been disrupted, and thus, the growth of AI solutions will also get affected negatively in such industries. On the other hand, industries such as pharmaceuticals are expected to witness a moderate impact. Many factors have contributed to the disruptions in manufacturing industries. Broadly, three major factors are disrupting the manufacturing industries, namely, supply chain disruption, shutdown of manufacturing units, and decrease in demand amidst lockdown in many countries.

AI in Manufacturing Market Dynamics

Driver: Evolution of industrial IoT and automation

Industrial Internet of Things (IIoT) plays a key role in the adoption of AI-based technology in the manufacturing sector. Industrial IoT makes industrial processes efficient, productive, and innovative by enabling an architecture that provides real-time information about operational and business systems. The data that is derived from the IoTs need to be converted into instructions that would instruct the machines to perform specific activities. These instructions designed by an AI system learn human behavior through deep learning, context awareness, and natural language processing (NLP). The AI-based system takes lesser time and can work continuously without error. As a result, manufacturing efficiency improves, which further helps in business growth.

Restraint: Reluctance among manufacturers to adopt AI-based technologies

AI technologies offer manufacturers the tools that would help them in a better predictive maintenance and machinery inspection process. However, manufacturers are reluctant to adopt new technologies or AI-based solutions in their costly machines or equipment. Any mismanagement could add to the costs. Furthermore, many manufacturers are doubtful about the capabilities of AI-based solutions in terms of the accuracy of the maintenance and inspection processes. Considering these factors, it is slightly difficult to convince the manufacturers and make them understand that AI-based solutions are cost-effective, efficient, and safe. However, manufacturers are now increasingly accepting the potential benefits of AI-based solutions and the spectrum of applications they serve.

Opportunities: Adoption of automation technologies to curb effects of COVID-19

Adoption of automation technologies such as artificial intelligence, robotics, and the Industrial Internet of Things is among the most critical factors for restarting the business operations of the manufacturing sector during this global pandemic. Large-scale lockdowns, shortage of labor force, and supply chain disruptions are likely to drive the automation needs across the manufacturing sector. AI-based solutions could help manufacturers to digitally transform operations (such as autonomous material movement using industrial robots) and make prompt data-driven decisions. In addition, AI can play a crucial role in automating several stages of manufacturing and limit human involvement.

Challenges: Limited skilled workforce

For developing, managing, and implementing AI systems that are complex in nature, companies require a workforce with certain skill sets, i.e., personnel dealing with AI systems should be aware of technologies such as cognitive computing, ML and machine intelligence, deep learning, and image recognition. In addition, the integration of AI solutions into existing systems is a difficult task requiring extensive data processing for replicating a human brain behavior. Even a minor error can result in system failure or can 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.

AI in manufacturing market for hardware segment is expected to dominate in the APAC region

Most of the AI hardware manufacturers have been in the business of providing the same hardware components for other technologies such as connected cars, machine vision cameras, and IoT for a long time. This will enable the companies to transfer the technology easily and accordingly develop the AI hardware. Moreover, the increasing participation of startups in AI hardware is complementing the growth of the hardware segment. A large number of manufacturing plants, huge presence of hardware manufacturers, and high adoption rate of robotics in China, Japan, and South Korea are driving the growth of the AI in manufacturing market in the APAC region

Predictive maintenance and machinery inspection application is projected to hold the largest share during forecast period

The predictive maintenance and machinery inspection application expected to hold the largest share of the AI in manufacturing market from 2020-2026. Extensive use of computer vision cameras in machinery inspection, adoption of Industrial Internet of Things (IIoT), and use of big data in the manufacturing industry are the factors driving the growth of the AI in manufacturing market for the predictive maintenance and machinery inspection application. The increasing demand for reducing the operational costs and machine downtime is also supplementing the growth of predictive maintenance and machinery inspection application in industries.

Deep learning technology expected to be extensively adopted during the forecast period

The market for deep learning technology is estimated to witness the highest growth throughout the forecast period. Growing adoption of deep learning in various manufacturing applications, rapid adoption of robotics in the manufacturing industry, and the huge volume of data generated by the computer vision technology, and big data are driving the growth of the AI in manufacturing market for deep learning technology.

The adoption of AI based manufacturing technology was significant in the APAC region

APAC accounted for the largest share of the AI in manufacturing market. The presence of a large number of manufacturing companies in China and Japan, along with the strong presence of automobile and electronics and semiconductor companies, is driving the growth of the AI in manufacturing market in APAC. Moreover, the high adoption of industrial robots is expected to play a vital role in the growth of the said market in APAC.

Due the COVID-19 pandemic, lockdown has been implemented in APAC, especially in China, which has led to supply chain disruptions, which have eventually affected the global economy. China was successful in containing the COVID-19 outbreak in Wuhan by implementing lockdown, and the same model was replicated across other countries in APAC. The decrease in the number of COVID-19 patients in China is slowly leading to normalcy in manufacturing activities. This, in turn, is expected to drive the growth of the AI in manufacturing market in APAC. However, it is expected that this growth will not be as significant as it would have been in the pre-COVID-19 estimates.

Artificial Intelligence in Manufacturing Market by Region

AI in manufacturing market is dominated by globally established players such as NVIDIA (US), IBM (US), Intel (US), Siemens (Germany), and General Electric Company (US).

Scope of the report

Report Metric

Details

Market size availability years

2017–2026

Base year

2019

Forecast period

2020–2026

Forecast units

Value (USD million)

Covered segments

Offering, technology, application, industry and region

Covered regions

North America, Europe, APAC, and RoW

Covered companies

NVIDIA Corporation (US), IBM Corporation (US), Alphabet Inc. (Google) (US), Microsoft Corporation (US), Intel Corporation (US), Siemens AG (Germany), General Electric Company (US), General Vision Inc. (US), Progress Software Corporation (US), Micron Technology Inc.,(US), Mitsubishi Electric Corporation (Japan), Sight Machine (US), Cisco Systems Inc., (US), SAP SE (Germany), Rockwell Automation Inc. (US), AIBrain Inc. (US), Vicarious Inc. (US),Oracle Corporation (US), Amazon Web Services (US), SparkCognition Inc. (US), Rethink Robotics (Germany), UBTECH Robotics Corp. (China), Aquant Inc. (Israel), Bright Machines (US), and Flutura Decision Sciences & Analytics (India).

AI in manufacturing market segmentation:

In this report, the AI in manufacturing market has been segmented into the following categories:

Based on Offering:

  • Hardware
    • Processor
    • Memory
    • Network
  • Software
    • AI Solutions
    • AI Platform
  • Services
    • Deployment & Integration
    • Support & Maintenance

Based on Technology:

  • Machine Learning
    • Deep Learning
    • Supervised Learning
    • Reinforced Learning
    • Unsupervised Learning
    • Others
  • Natural Language Processing
  • Context-aware Computing
  • Computer Vision

Based on Application:

  • Predictive Maintenance and Machinery Inspection
  • Material Movement
  • Production Planning
  • Field Services
  • Quality Control
  • Cybersecurity
  • Industrial Robots
  • Reclaimation

Based on Industry:

  • Automobile
  • Energy and Power
  • Pharmaceuticals
  • Heavy Metals and Machine Manufacturing
  • Seiconductors and Electronics
  • Food & Beverages
  • Others

Based on Region:

  • North America
  • Europe
  • Asia Pacific
  • Rest of the World (RoW)

Recent Developments

  • In June 2020, Wipro Limited (India) announced a collaboration with IBM to assist Wipro customers in embarking on a seamless and secure hybrid cloud journey. Through this alliance, Wipro will develop hybrid cloud offerings to help businesses migrate, manage, and transform mission-critical workloads and applications, with security across public or private cloud and on-premises IT environments. Wipro will leverage IBM Cloud offerings and technologies alongside in-house services to develop industry solutions for clients in banking and financial services, energy and utilities, retail, manufacturing, and healthcare space.
  • In May 2020, NVIDIA launched two powerful products for its EGX Edge AI platform — the EGX A100 for larger commercial off-the-shelf servers and the tiny EGX Jetson Xavier NX for micro-edge servers — delivering high-performance, secure AI processing at the edge. With the NVIDIA EGX Edge AI platform, hospitals, stores, farms, and factories can carry out real-time processing and protection of massive amounts of data streaming from trillions of edge sensors. The platform makes it possible to securely deploy, manage, and update fleets of servers remotely.
  • In February 2020, Micron, together with technology company Continental (Germany), announced plans to enter into a collaboration agreement to explore and adapt Micron’s deep learning accelerator for next-generation machine learning automotive applications. This agreement brings together two world leaders in the automotive and memory markets to advance machine learning to meet the extreme memory requirements of modern vehicles.

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TABLE OF CONTENTS

1 INTRODUCTION (Page No. - 38)
    1.1 STUDY OBJECTIVES
    1.2 MARKET DEFINITION
    1.3 STUDY SCOPE
           1.3.1 MARKETS COVERED
           1.3.2 YEARS CONSIDERED
    1.4 CURRENCY
    1.5 STAKEHOLDERS

2 RESEARCH METHODOLOGY (Page No. - 41)
    2.1 RESEARCH DATA
        FIGURE 1 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY AND PRIMARY RESEARCH
                    2.1.1.1 Key industry insights
           2.1.2 SECONDARY DATA
                    2.1.2.1 List of major secondary sources
                    2.1.2.2 Secondary sources
           2.1.3 PRIMARY DATA
                    2.1.3.1 Primary interviews with experts
                    2.1.3.2 Breakdown of primaries
                    2.1.3.3 Primary sources
    2.2 MARKET SIZE ESTIMATION
           2.2.1 BOTTOM-UP APPROACH
                    2.2.1.1 Estimating market size by bottom-up approach (demand side)
                            FIGURE 2 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
           2.2.2 TOP-DOWN APPROACH
                    2.2.2.1 Approach for capturing the market share by top-down analysis (supply side)
                            FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
    2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
        FIGURE 4 DATA TRIANGULATION
    2.4 RESEARCH ASSUMPTIONS
        TABLE 1 ASSUMPTIONS FOR THE RESEARCH STUDY

3 EXECUTIVE SUMMARY (Page No. - 51)
  FIGURE 5 AI IN MANUFACTURING MARKET, BY OFFERING, 2020 VS. 2026 (USD MILLION)
  FIGURE 6 AI IN MANUFACTURING MARKET, BY TECHNOLOGY, 2017–2026 (USD MILLION)
  FIGURE 7 AI IN MANUFACTURING MARKET, BY APPLICATION, 2020 VS. 2026 (USD MILLION)
  FIGURE 8 AI IN MANUFACTURING MARKET, BY INDUSTRY, 2020 VS. 2026
  FIGURE 9 AI IN MANUFACTURING MARKET, BY REGION, 2019
    3.1 COVID-19 IMPACT ANALYSIS: AI IN MANUFACTURING MARKET
        FIGURE 10 PRE- AND POST-COVID-19 SCENARIO ANALYSIS FOR AI IN MANUFACTURING MARKET
           3.1.1 PRE-COVID-19 SCENARIO
           3.1.2 POST-COVID-19 SCENARIO

4 PREMIUM INSIGHTS (Page No. - 58)
    4.1 ATTRACTIVE OPPORTUNITIES IN AI IN MANUFACTURING MARKET
        FIGURE 11 GROWING BIG DATA IN MANUFACTURING AND INCREASING INDUSTRIAL AUTOMATION ARE MAJOR FACTORS DRIVING MARKET GROWTH
    4.2 AI IN MANUFACTURING MARKET, BY OFFERING
        FIGURE 12 SOFTWARE TO HOLD LARGEST SHARE OF AI IN MANUFACTURING MARKET DURING FORECAST PERIOD
    4.3 AI IN MANUFACTURING MARKET, BY TECHNOLOGY
        FIGURE 13 AI IN MANUFACTURING MARKET FOR MACHINE LEARNING TO HOLD LARGEST SIZE FROM 2020 TO 2026
    4.4 APAC: AI IN MANUFACTURING MARKET, BY INDUSTRY AND COUNTRY
        FIGURE 14 CHINA HELD LARGEST SHARE OF AI IN MANUFACTURING MARKET IN APAC IN 2019
    4.5 AI IN MANUFACTURING MARKET, BY COUNTRY
        FIGURE 15 CHINA HELD LARGEST SHARE OF AI IN MANUFACTURING MARKET IN 2019

5 MARKET OVERVIEW (Page No. - 61)
    5.1 INTRODUCTION
    5.2 MARKET DYNAMICS
        FIGURE 16 INCREASINGLY LARGE AND COMPLEX DATASETS AND INDUSTRY TRENDS SUCH AS IOT AND AUTOMATION ARE DRIVING MARKET GROWTH
           5.2.1 DRIVERS
                    5.2.1.1 Increasingly large and complex dataset
                    5.2.1.2 Evolving Industrial IoT and automation
                    5.2.1.3 Improving computing power
                    5.2.1.4 Increasing venture capital investments
           5.2.2 RESTRAINTS
                    5.2.2.1 Reluctance among manufacturers to adopt AI-based technologies
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Growth in operational efficiency of manufacturing plants
                    5.2.3.2 Application of AI for intelligent business process
                    5.2.3.3 Adoption of automation technologies to curb effects of COVID-19
           5.2.4 CHALLENGES
                    5.2.4.1 Limited skilled workforce
                    5.2.4.2 Concerns regarding data privacy
                    5.2.4.3 Significant financial and operational impact of COVID-19 outbreak on manufacturing
    5.3 VALUE CHAIN ANALYSIS
        FIGURE 17 AI IN MANUFACTURING MARKET VALUE CHAIN IN 2019
    5.4 CASE STUDIES
           5.4.1 SIEMENS GAMESA USES FUJITSU’S AI SOLUTION TO ACCELERATE INSPECTION OF TURBINE BLADES
           5.4.2 VOLVO USES MACHINE LEARNING-DRIVEN DATA ANALYTICS FOR PREDICTING BREAKDOWN AND FAILURES
           5.4.3 ROLLS-ROYCE USING MICROSOFT CORTANA INTELLIGENCE FOR PREDICTIVE MAINTENANCE
           5.4.4 PAPER PACKAGING FIRM USED SIGHT MACHINE’S ENTERPRISE MANUFACTURING ANALYTICS TO IMPROVE PRODUCTION
    5.5 ADJACENT AND RELATED MARKETS

6 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING (Page No. - 70)
    6.1 INTRODUCTION
        TABLE 2 PRE-COVID-19 SCENARIO: AI IN MANUFACTURING MARKET, BY OFFERING, 2017–2026 (USD MILLION)
        FIGURE 18 SOFTWARE TO HOLD LARGEST SIZE OF AI IN MANUFACTURING MARKET DURING FORECAST PERIOD
        TABLE 3 AI IN MANUFACTURING MARKET, BY OFFERING, 2017–2019 (USD MILLION)
        TABLE 4 AI IN MANUFACTURING MARKET, BY OFFERING, 2020–2026 (USD MILLION)
    6.2 HARDWARE
        TABLE 5 AI IN MANUFACTURING MARKET, BY HARDWARE, 2017–2019 (USD MILLION)
        TABLE 6 AI IN MANUFACTURING MARKET, BY HARDWARE, 2020–2026 (USD MILLION)
        TABLE 7 AI IN MANUFACTURING MARKET FOR HARDWARE, BY REGION, 2017–2019 (USD MILLION)
        TABLE 8 AI IN MANUFACTURING MARKET FOR HARDWARE, BY REGION, 2020–2026 (USD MILLION)
           6.2.1 PROCESSOR
                    6.2.1.1 High parallel processing capabilities and improved computing power have resulted in adoption of processors
                            FIGURE 19 MARKET FOR GPU TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                            TABLE 9 AI IN MANUFACTURING MARKET, BY PROCESSOR, 2017–2019 (USD MILLION)
                            TABLE 10 AI IN MANUFACTURING MARKET, BY PROCESSOR, 2020–2026 (USD MILLION)
                               6.2.1.1.1 MPU
                               6.2.1.1.2 GPU
                               6.2.1.1.3 FPGA
                               6.2.1.1.4 ASIC
           6.2.2 MEMORY
                    6.2.2.1 High-bandwidth memory is being developed and deployed for AI applications, independent of its computing architecture
           6.2.3 NETWORK
                    6.2.3.1 Nvidia (US), Intel (US) and Mellanox Technologies (Israel) are key providers of network interconnect adapters for AI applications
    6.3 SOFTWARE
        TABLE 11 AI IN MANUFACTURING MARKET FOR OFFERING, BY SOFTWARE, 2017–2019 (USD MILLION)
        TABLE 12 AI IN MANUFACTURING MARKET FOR OFFERING, BY SOFTWARE, 2020–2026 (USD MILLION)
        FIGURE 20 APAC TO HOLD LARGEST SIZE OF AI IN MANUFACTURING MARKET FOR SOFTWARE FROM 2020 TO 2026
        TABLE 13 AI IN MANUFACTURING MARKET FOR SOFTWARE, BY REGION, 2017–2019 (USD MILLION)
        TABLE 14 AI IN MANUFACTURING MARKET FOR SOFTWARE, BY REGION, 2020–2026 (USD MILLION)
           6.3.1 AI SOLUTIONS
                 TABLE 15 AI IN MANUFACTURING MARKET FOR SOLUTION, BY DEPLOYMENT, 2017–2019 (USD MILLION)
                 TABLE 16 AI IN MANUFACTURING MARKET FOR SOLUTION, BY DEPLOYMENT, 2020–2026 (USD MILLION)
                    6.3.1.1 On-Premises
                               6.3.1.1.1 Data-sensitive enterprises prefer on-premise advanced NLP and ML tools to be used in AI solutions
                    6.3.1.2 Cloud
                               6.3.1.2.1 AI solution providers are focusing on development of robust cloud-based solutions for their clients
           6.3.2 AI PLATFORM
                 TABLE 17 AI IN MANUFACTURING MARKET FOR SOFTWARE, BY PLATFORM, 2017–2019 (USD MILLION)
                 TABLE 18 AI IN MANUFACTURING MARKET FOR SOFTWARE, BY PLATFORM, 2020–2026 (USD MILLION)
                    6.3.2.1 Machine learning framework
                               6.3.2.1.1 Major tech companies such as Google, IBM, and Microsoft are developing and offering their ML frameworks
                    6.3.2.2 Application Program Interface (API)
                               6.3.2.2.1 API provides platform for set of routines and tools for building software applications
    6.4 SERVICES
        TABLE 19 AI IN MANUFACTURING MARKET, BY SERVICES, 2017–2019 (USD MILLION)
        TABLE 20 AI IN MANUFACTURING MARKET, BY SERVICES, 2020–2026 (USD MILLION)
        TABLE 21 AI IN MANUFACTURING MARKET FOR SERVICES, BY REGION, 2017–2019 (USD MILLION)
        TABLE 22 AI IN MANUFACTURING MARKET FOR SERVICES, BY REGION, 2020–2026 (USD MILLION)
           6.4.1 DEPLOYMENT & INTEGRATION
                    6.4.1.1 Deployment and integration is a key service required for configuring AI systems in manufacturing
           6.4.2 SUPPORT & MAINTENANCE
                    6.4.2.1 Objective of maintenance services is to keep systems at an accep        TABLE standard
    6.5 IMPACT OF COVID-19 ON VARIOUS OFFERING OF AI TECHNOLOGY FOR MANUFACTURING

7 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY (Page No. - 86)
    7.1 INTRODUCTION
        TABLE 23 PRE-COVID-19 SCENARIO: AI IN MANUFACTURING MARKET, BY TECHNOLOGY, 2017–2026 (USD MILLION)
        FIGURE 21 MACHINE LEARNING TO HOLD LARGEST MARKET SHARE OF AI IN MANUFACTURING MARKET IN 2020 AND 2026
        TABLE 24 AI IN MANUFACTURING MARKET, BY TECHNOLOGY, 2017–2019 (USD MILLION)
        TABLE 25 AI IN MANUFACTURING MARKET, BY TECHNOLOGY, 2020–2026 (USD MILLION)
    7.2 MACHINE LEARNING
        TABLE 26 AI IN MANUFACTURING MARKET FOR MACHINE LEARNING, BY TYPE, 2017–2019 (USD MILLION)
        TABLE 27 AI IN MANUFACTURING MARKET FOR MACHINE LEARNING, BY TYPE, 2020–2026 (USD MILLION)
        TABLE 28 AI IN MANUFACTURING MARKET FOR MACHINE LEARNING, BY APPLICATION, 2017–2019 (USD MILLION)
        TABLE 29 AI IN MANUFACTURING MARKET FOR MACHINE LEARNING, BY APPLICATION, 2020–2026 (USD MILLION)
           7.2.1 DEEP LEARNING
                    7.2.1.1 Deep learning uses artificial neural networks to learn multiple levels of data
           7.2.2 SUPERVISED LEARNING
                    7.2.2.1 Classification and regression are major segments of supervised learning
           7.2.3 REINFORCEMENT LEARNING
                    7.2.3.1 Reinforcement learning allows systems and software to determine ideal behavior for maximizing performance of systems
           7.2.4 UNSUPERVISED LEARNING
                    7.2.4.1 Unsupervised learning Includes clustering methods consisting of algorithms with unlabeled training data
           7.2.5 OTHERS
    7.3 NATURAL LANGUAGE PROCESSING
           7.3.1 NLP IS DEVELOPED FOR REAL-TIME TRANSLATION AND DEVELOPING SYSTEMS THAT CAN INTERACT THROUGH DIALOGUES
                 TABLE 30 AI IN MANUFACTURING MARKET FOR NATURAL LANGUAGE PROCESSING, BY APPLICATION, 2017–2019 (USD MILLION)
                 TABLE 31 AI IN MANUFACTURING MARKET FOR NATURAL LANGUAGE PROCESSING, BY APPLICATION, 2020–2026 (USD MILLION)
    7.4 CONTEXT-AWARE COMPUTING
           7.4.1 DEVELOPMENT OF MORE SOPHISTICATED HARD AND SOFT SENSORS HAS ACCELERATED GROWTH OF CONTEXT-AWARE COMPUTING
                 TABLE 32 AI IN MANUFACTURING MARKET FOR CONTEXT-AWARE COMPUTING, BY TYPE, 2017–2019 (USD MILLION)
                 TABLE 33 AI IN MANUFACTURING MARKET FOR CONTEXT-AWARE COMPUTING, BY TYPE, 2020–2026 (USD MILLION)
                 TABLE 34 AI IN MANUFACTURING MARKET FOR CONTEXT-AWARE COMPUTING, BY APPLICATION, 2017–2019 (USD MILLION)
                 TABLE 35 AI IN MANUFACTURING MARKET FOR CONTEXT-AWARE COMPUTING, BY APPLICATION, 2020–2026 (USD MILLION)
    7.5 COMPUTER VISION
           7.5.1 COMPUTER VISION ANALYZES INFORMATION OF DIFFERENT GEOMETRIC SHAPES, VOLUMES, AND PATTERNS
                 TABLE 36 AI IN MANUFACTURING MARKET FOR COMPUTER VISION, BY APPLICATION, 2017–2019 (USD MILLION)
                 TABLE 37 AI IN MANUFACTURING MARKET FOR COMPUTER VISION, BY APPLICATION, 2020–2026 (USD MILLION)
    7.6 IMPACT OF COVID-19 ON VARIOUS TECHNOLOGIES OF AI IN MANUFACTURING

8 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION (Page No. - 98)
    8.1 INTRODUCTION
        TABLE 38 PRE-COVID-19 SCENARIO: AI IN MANUFACTURING MARKET, BY APPLICATION, 2017–2026 (USD MILLION)
        FIGURE 22 QUALITY CONTROL TO WITNESS HIGHEST GROWTH THROUGHOUT FORECAST PERIOD
        TABLE 39 AI IN MANUFACTURING MARKET, BY APPLICATION, 2017–2019 (USD MILLION)
        TABLE 40 AI IN MANUFACTURING MARKET, BY APPLICATION, 2020–2026 (USD MILLION)
    8.2 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION
           8.2.1 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION PROVIDE THE FRAMEWORK FOR ALL PLANNED MAINTENANCE ACTIVITIES
                 TABLE 41 AI IN MANUFACTURING MARKET FOR PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION, BY REGION, 2017–2019 (USD MILLION)
                 TABLE 42 AI IN MANUFACTURING MARKET FOR PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION, BY REGION, 2020–2026 (USD MILLION)
                 TABLE 43 AI IN MANUFACTURING MARKET FOR PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION, BY TECHNOLOGY, 2017–2019 (USD MILLION)
                 TABLE 44 AI IN MANUFACTURING MARKET FOR PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION, BY TECHNOLOGY, 2020–2026 (USD MILLION)
    8.3 MATERIAL MOVEMENT
           8.3.1 AI-BASED TECHNOLOGY FOR MATERIAL MOVEMENT WILL ENSURE STREAMLINING OF IN-PLANT LOGISTICS
                 FIGURE 23 NORTH AMERICA TO HOLD LARGEST SHARE OF AI IN MANUFACTURING MARKET FOR MATERIAL MOVEMENT IN 2020
                 TABLE 45 AI IN MANUFACTURING MARKET FOR MATERIAL MOVEMENT, BY REGION, 2017–2019 (USD MILLION)
                 TABLE 46 AI IN MANUFACTURING MARKET FOR MATERIAL MOVEMENT, BY REGION, 2020–2026 (USD MILLION)
                 TABLE 47 AI IN MANUFACTURING MARKET FOR MATERIAL MOVEMENT, BY TECHNOLOGY, 2017–2019 (USD MILLION)
                 TABLE 48 AI IN MANUFACTURING MARKET FOR MATERIAL MOVEMENT, BY TECHNOLOGY, 2020–2026 (USD MILLION)
    8.4 PRODUCTION PLANNING
           8.4.1 THE USE OF AI IN PRODUCTION PLANNING LEADS TO THE STANDARDIZATION OF PRODUCT AND PROCESS SEQUENCE
                 TABLE 49 AI IN MANUFACTURING MARKET FOR PRODUCTION PLANNING, BY REGION, 2017–2019 (USD MILLION)
                 TABLE 50 AI IN MANUFACTURING MARKET FOR PRODUCTION PLANNING, BY REGION, 2020–2026 (USD MILLION)
                 TABLE 51 AI IN MANUFACTURING MARKET FOR PRODUCTION PLANNING, BY TECHNOLOGY, 2017–2019 (USD MILLION)
                 TABLE 52 AI IN MANUFACTURING MARKET FOR PRODUCTION PLANNING, BY TECHNOLOGY, 2020–2026 (USD MILLION)
    8.5 FIELD SERVICES
           8.5.1 FIELD SERVICES ARE EXTENSIVELY USED IN HEAVY METALS AND MACHINE MANUFACTURING, OIL & GAS, AND ENERGY AND POWER INDUSTRY
                 FIGURE 24 NORTH AMERICA TO HOLD LARGEST SIZE OF AI MANUFACTURING MARKET FOR FIELD SERVICES DURING FORECAST PERIOD
                 TABLE 53 AI IN MANUFACTURING MARKET FOR FIELD SERVICES, BY REGION, 2017–2019 (USD MILLION)
                 TABLE 54 AI IN MANUFACTURING MARKET FOR FIELD SERVICES, BY REGION, 2020–2026 (USD MILLION)
                 TABLE 55 AI IN MANUFACTURING MARKET FOR FIELD SERVICES, BY TECHNOLOGY, 2017–2019 (USD MILLION)
                 TABLE 56 AI IN MANUFACTURING MARKET FOR FIELD SERVICES, BY TECHNOLOGY, 2020–2026 (USD MILLION)
    8.6 QUALITY CONTROL
           8.6.1 AI-BASED QUALITY CONTROL SYSTEM IS WIDELY USED IN PHARMACEUTICALS, FOOD & BEVERAGES, AND SEMICONDUCTOR INDUSTRIES
                 TABLE 57 AI IN MANUFACTURING MARKET FOR QUALITY CONTROL, BY REGION, 2017–2019 (USD MILLION)
                 TABLE 58 AI IN MANUFACTURING MARKET FOR QUALITY CONTROL, BY REGION, 2020–2026 (USD MILLION)
                 FIGURE 25 MACHINE LEARNING TO HOLD LARGEST SIZE OF AI IN MANUFACTURING MARKET FOR APPLICATION OF QUALITY CONTROL DURING 2020–2026
                 TABLE 59 AI IN MANUFACTURING MARKET FOR QUALITY CONTROL, BY TECHNOLOGY, 2017–2019 (USD MILLION)
                 TABLE 60 AI IN MANUFACTURING MARKET FOR QUALITY CONTROL, BY TECHNOLOGY, 2020–2026 (USD MILLION)
    8.7 CYBERSECURITY
           8.7.1 AUTOMATION AND INTEGRATING REAL-TIME SYSTEMS IN MANUFACTURING IS RESULTING IN ADOPTION OF CYBERSECURITY SYSTEMS
                 TABLE 61 AI IN MANUFACTURING MARKET FOR CYBERSECURITY, BY REGION, 2017–2019 (USD MILLION)
                 TABLE 62 AI IN MANUFACTURING MARKET FOR CYBERSECURITY, BY REGION, 2020–2026 (USD MILLION)
                 TABLE 63 AI IN MANUFACTURING MARKET FOR CYBERSECURITY, BY TECHNOLOGY, 2017–2019 (USD MILLION)
                 TABLE 64 AI IN MANUFACTURING MARKET FOR CYBERSECURITY, BY TECHNOLOGY, 2020–2026 (USD MILLION)
    8.8 INDUSTRIAL ROBOTS
           8.8.1 INDUSTRIAL ROBOTS CAN BE CLASSIFIED INTO TRADITIONAL INDUSTRIAL ROBOTS AND COLLABORATIVE ROBOTS
                 FIGURE 26 APAC TO HOLD LARGEST SHARE OF AI IN MANUFACTURING MARKET FOR APPLICATION OF INDUSTRIAL ROBOTS DURING 2020–2026
                 TABLE 65 AI IN MANUFACTURING MARKET FOR INDUSTRIAL ROBOTS, BY REGION, 2017–2019 (USD MILLION)
                 TABLE 66 AI IN MANUFACTURING MARKET FOR INDUSTRIAL ROBOTS, BY REGION, 2020–2026 (USD MILLION)
                 TABLE 67 AI IN MANUFACTURING MARKET FOR INDUSTRIAL ROBOTS, BY TECHNOLOGY, 2017–2019 (USD MILLION)
                 TABLE 68 AI IN MANUFACTURING MARKET FOR INDUSTRIAL ROBOTS, BY TECHNOLOGY, 2020–2026 (USD MILLION)
    8.9 RECLAMATION
           8.9.1 IN RECLAMATION, AI-BASED SYSTEMS DETECT IMPORTANT COMPONENTS FROM WASTE OR SLAGS
                 TABLE 69 AI IN MANUFACTURING MARKET FOR RECLAMATION, BY REGION, 2017–2019 (USD MILLION)
                 TABLE 70 AI IN MANUFACTURING MARKET FOR RECLAMATION, BY REGION, 2020–2026 (USD MILLION)
                 TABLE 71 AI IN MANUFACTURING MARKET FOR RECLAMATION, BY TECHNOLOGY, 2017–2019 (USD MILLION)
                 TABLE 72 AI IN MANUFACTURING MARKET FOR RECLAMATION, BY TECHNOLOGY, 2020–2026 (USD MILLION)

9 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY (Page No. - 117)
    9.1 INTRODUCTION
        TABLE 73 PRE-COVID-19 SCENARIO: AI IN MANUFACTURING MARKET, BY INDUSTRY, 2017–2026 (USD MILLION)
        FIGURE 27 AUTOMOBILE HELD LARGEST SIZE OF AI IN MANUFACTURING MARKET IN 2020
        TABLE 74 AI IN MANUFACTURING MARKET, BY INDUSTRY, 2017–2019 (USD MILLION)
        TABLE 75 AI IN MANUFACTURING MARKET, BY INDUSTRY, 2020–2026 (USD MILLION)
    9.2 AUTOMOBILE
           9.2.1 MACHINE LEARNING AND COMPUTER VISION ARE THE MAJOR AI TECHNOLOGIES DEPLOYED IN AUTOMOBILE INDUSTRY
                    9.2.1.1 Impact of COVID-19 on automobile industry of AI in manufacturing market
                            TABLE 76 AI IN MANUFACTURING MARKET FOR AUTOMOBILE INDUSTRY, BY REGION, 2017–2019 (USD MILLION)
                            TABLE 77 AI IN MANUFACTURING MARKET FOR AUTOMOBILE INDUSTRY, BY REGION, 2020–2026 (USD MILLION)
    9.3 ENERGY AND POWER
           9.3.1 AI-BASED SOLUTIONS CAN HELP ENERGY AND POWER INDUSTRY TO ENHANCE PRODUCTION OUTPUT AND REDUCED DOWNTIME
                    9.3.1.1 Impact of COVID-19 on energy and power industry of AI in manufacturing market
                            FIGURE 28 APAC TO HOLD LARGEST SIZE OF AI IN MANUFACTURING MARKET FOR ENERGY AND POWER BY 2026
                            TABLE 78 AI IN MANUFACTURING MARKET FOR ENERGY AND POWER INDUSTRY, BY REGION, 2017–2019 (USD MILLION)
                            TABLE 79 AI IN MANUFACTURING MARKET FOR ENERGY AND POWER INDUSTRY, BY REGION, 2020–2026 (USD MILLION)
    9.4 PHARMACEUTICALS
           9.4.1 QUALITY CONTROL, MATERIAL MOVEMENT, AND PRODUCTION PLANNING ARE THE MAJOR APPLICATIONS OF AI IN PHARMACEUTICALS
                    9.4.1.1 Impact of COVID-19 on pharmaceuticals industry of AI in manufacturing market
                            TABLE 80 AI IN MANUFACTURING MARKET FOR PHARMACEUTICALS INDUSTRY, BY REGION, 2017–2019 (USD MILLION)
                            TABLE 81 AI IN MANUFACTURING MARKET FOR PHARMACEUTICALS INDUSTRY, BY REGION, 2020–2026 (USD MILLION)
    9.5 HEAVY METALS AND MACHINE MANUFACTURING
           9.5.1 APAC IS CONSIDERED TO HAVE THE HIGHEST NUMBER OF HEAVY METALS AND MACHINE MANUFACTURING PLANTS IN THE WORLD
                    9.5.1.1 Impact of COVID-19 on heavy metal and machine manufacturing industry of AI in manufacturing market
                            FIGURE 29 APAC TO HOLD LARGEST SIZE OF AI IN MANUFACTURING MARKET FOR HEAVY METALS AND MACHINE MANUFACTURING DURING FORECAST PERIOD
                            TABLE 82 AI IN MANUFACTURING MARKET FOR HEAVY METALS AND MACHINE MANUFACTURING INDUSTRY, BY REGION, 2017–2019 (USD MILLION)
                            TABLE 83 AI IN MANUFACTURING MARKET FOR HEAVY METALS AND MACHINE MANUFACTURING INDUSTRY, BY REGION, 2020–2026 (USD MILLION)
    9.6 SEMICONDUCTORS AND ELECTRONICS
           9.6.1 AI IS LIKELY TO ASSIST IN OPTIMIZING THE PRODUCTION COST, TECHNOLOGY IMPLEMENTATION, AND INTEGRATION OF COMPONENTS
                    9.6.1.1 Impact of COVID-19 on semiconductor and electronics industry of AI in manufacturing market
                            TABLE 84 AI IN MANUFACTURING MARKET FOR SEMICONDUCTORS AND ELECTRONICS INDUSTRY, BY REGION, 2017–2019 (USD MILLION)
                            TABLE 85 AI IN MANUFACTURING MARKET FOR SEMICONDUCTORS AND ELECTRONICS INDUSTRY, BY REGION, 2020–2026 (USD MILLION)
    9.7 FOOD & BEVERAGES
           9.7.1 AI-BASED SOLUTIONS ENHANCE THE QUALITY OF THE FOOD PRODUCTION COST-EFFECTIVELY
                    9.7.1.1 Impact of COVID-19 on food & beverages industry of AI in manufacturing market
                            TABLE 86 AI IN MANUFACTURING MARKET FOR FOOD & BEVERAGES INDUSTRY, BY REGION, 2017–2019 (USD MILLION)
                            TABLE 87 AI IN MANUFACTURING MARKET FOR FOOD & BEVERAGES INDUSTRY, BY REGION, 2020–2026 (USD MILLION)
    9.8 OTHERS
        TABLE 88 AI IN MANUFACTURING MARKET FOR OTHERS, BY REGION, 2017–2019 (USD MILLION)
        TABLE 89 AI IN MANUFACTURING MARKET FOR OTHERS, BY REGION, 2020–2026 (USD MILLION)

10 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION (Page No. - 132)
     10.1 INTRODUCTION
          FIGURE 30 CHINA, SOUTH KOREA, AND US ARE EMERGING AS NEW HOTSPOTS IN AI IN MANUFACTURING MARKET
          FIGURE 31 APAC TO DOMINATE AI IN MANUFACTURING MARKET DURING FORECAST PERIOD
          TABLE 90 PRE-COVID-19 SCENARIO: AI IN MANUFACTURING MARKET, BY REGION, 2017–2026 (USD MILLION)
          TABLE 91 AI IN MANUFACTURING MARKET, BY REGION, 2017–2019 (USD MILLION)
          TABLE 92 AI IN MANUFACTURING MARKET, BY REGION, 2020–2026 (USD MILLION)
     10.2 NORTH AMERICA
          FIGURE 32 IMPACT OF COVID-19 ON AI IN MANUFACTURING MARKET IN NORTH AMERICA
          TABLE 93 PRE- AND POST-COVID-19 ANALYSIS FOR AI IN MANUFACTURING MARKET IN NORTH AMERICA, 2017–2026 (USD MILLION)
             10.2.1 IMPACT OF COVID-19 ON AI IN MANUFACTURING MARKET IN NORTH AMERICA
                    FIGURE 33 NORTH AMERICA: SNAPSHOT OF AI IN MANUFACTURING MARKET
                    TABLE 94 AI IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2017–2019 (USD MILLION)
                    TABLE 95 AI IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY, 2020–2026 (USD MILLION)
                    TABLE 96 AI IN MANUFACTURING MARKET IN NORTH AMERICA FOR HARDWARE, BY COUNTRY, 2017–2019 (USD MILLION)
                    TABLE 97 AI IN MANUFACTURING MARKET IN NORTH AMERICA FOR HARDWARE, BY COUNTRY, 2020–2026 (USD MILLION)
                    TABLE 98 AI IN MANUFACTURING MARKET IN NORTH AMERICA FOR SOFTWARE, BY COUNTRY, 2017–2019 (USD MILLION)
                    TABLE 99 AI IN MANUFACTURING MARKET IN NORTH AMERICA FOR SOFTWARE, BY COUNTRY, 2020–2026 (USD MILLION)
                    TABLE 100 AI IN MANUFACTURING MARKET IN NORTH AMERICA FOR SERVICES, BY COUNTRY, 2017–2019 (USD MILLION)
                    TABLE 101 AI IN MANUFACTURING MARKET IN NORTH AMERICA FOR SERVICES, BY COUNTRY, 2020–2026 (USD MILLION)
                    TABLE 102 AI IN MANUFACTURING MARKET IN NORTH AMERICA, BY INDUSTRY, 2017–2019 (USD MILLION)
                    TABLE 103 AI IN MANUFACTURING MARKET IN NORTH AMERICA, BY INDUSTRY, 2020–2026 (USD MILLION)
             10.2.2 US
                        10.2.2.1 US is among frontrunners in terms of adoption of IIoT and industrial robots, which is boosting adoption of AI
                                 TABLE 104 AI IN MANUFACTURING MARKET IN US, BY OFFERING, 2017–2019 (USD MILLION)
                                 TABLE 105 AI IN MANUFACTURING MARKET IN US, BY OFFERING, 2020–2026 (USD MILLION)
             10.2.3 CANADA
                        10.2.3.1 Government funding and extensive startup activities, especially in AI, are supporting growth of AI in manufacturing
                                 TABLE 106 AI IN MANUFACTURING MARKET IN CANADA, BY OFFERING, 2017–2019 (USD MILLION)
                                 TABLE 107 AI IN MANUFACTURING MARKET IN CANADA, BY OFFERING, 2020–2026 (USD MILLION)
             10.2.4 MEXICO
                        10.2.4.1 Increase in productivity and reduction in cost are leading to adoption of AI in manufacturing in Mexico
                                 TABLE 108 AI IN MANUFACTURING MARKET IN MEXICO, BY OFFERING, 2017–2019 (USD MILLION)
                                 TABLE 109 AI IN MANUFACTURING MARKET IN MEXICO, BY OFFERING, 2020–2026 (USD MILLION)
     10.3 EUROPE
          FIGURE 34 IMPACT OF COVID-19 ON AI IN MANUFACTURING MARKET IN EUROPE
          TABLE 110 PRE- AND POST-COVID-19 ANALYSIS FOR AI IN MANUFACTURING MARKET IN EUROPE, 2017–2026 (USD MILLION)
             10.3.1 IMPACT OF COVID-19 ON AI IN MANUFACTURING MARKET IN EUROPE
                    FIGURE 35 EUROPE: SNAPSHOT OF AI IN MANUFACTURING MARKET
                    TABLE 111 AI IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2017–2019 (USD MILLION)
                    TABLE 112 AI IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY, 2020–2026 (USD MILLION)
                    FIGURE 36 GERMANY HELD LARGEST SHARE OF AI IN MANUFACTURING MARKET IN EUROPE FOR HARDWARE IN 2019
                    TABLE 113 AI IN MANUFACTURING MARKET IN EUROPE FOR HARDWARE, BY COUNTRY, 2017–2019 (USD MILLION)
                    TABLE 114 AI IN MANUFACTURING MARKET IN EUROPE FOR HARDWARE, BY COUNTRY, 2020–2026 (USD MILLION)
                    TABLE 115 AI IN MANUFACTURING MARKET IN EUROPE FOR SOFTWARE, BY COUNTRY, 2017–2019 (USD MILLION)
                    TABLE 116 AI IN MANUFACTURING MARKET IN EUROPE FOR SOFTWARE, BY COUNTRY, 2020–2026 (USD MILLION)
                    TABLE 117 AI IN MANUFACTURING MARKET IN EUROPE FOR SERVICES, BY COUNTRY, 2017–2019 (USD MILLION)
                    TABLE 118 AI IN MANUFACTURING MARKET IN EUROPE FOR SERVICES, BY COUNTRY, 2020–2026 (USD MILLION)
                    TABLE 119 AI IN MANUFACTURING MARKET IN EUROPE, BY INDUSTRY, 2017–2019 (USD MILLION)
                    TABLE 120 AI IN MANUFACTURING MARKET IN EUROPE, BY INDUSTRY, 2020–2026 (USD MILLION)
             10.3.2 GERMANY
                        10.3.2.1 Implementation of big data in manufacturing plants has resulted in adoption of AI-based solutions in Germany
                                 TABLE 121 AI IN MANUFACTURING MARKET IN EUROPE FOR SERVICES, BY COUNTRY, 2017–2019 (USD MILLION)
                                 TABLE 122 AI IN MANUFACTURING MARKET IN EUROPE FOR SERVICES, BY COUNTRY, 2020–2026 (USD MILLION)
             10.3.3 UK
                        10.3.3.1 Favorable environment for R&D has led to innovations in field of AI in manufacturing
                                 TABLE 123 AI IN MANUFACTURING MARKET IN UK FOR SERVICES, BY OFFERING, 2017–2019 (USD MILLION)
                                 TABLE 124 AI IN MANUFACTURING MARKET IN UK FOR SERVICES, BY OFFERING, 2020–2026 (USD MILLION)
             10.3.4 FRANCE
                        10.3.4.1 Increased funding and rising AI startups are expected to proliferate AI in France
                                 TABLE 125 AI IN MANUFACTURING MARKET IN FRANCE FOR SERVICES, BY OFFERING, 2017–2019 (USD MILLION)
                                 TABLE 126 AI IN MANUFACTURING MARKET IN FRANCE FOR SERVICES, BY OFFERING, 2020–2026 (USD MILLION)
             10.3.5 ITALY
                        10.3.5.1 Manufacturers in Italy are adopting smart factory and AI-based solutions
                                 TABLE 127 AI IN MANUFACTURING MARKET IN ITALY FOR SERVICES, BY OFFERING, 2017–2019 (USD MILLION)
                                 TABLE 128 AI IN MANUFACTURING MARKET IN ITALY FOR SERVICES, BY OFFERING, 2020–2026 (USD MILLION)
             10.3.6 SPAIN
                        10.3.6.1 Cybersecurity is among emerging trends of AI in manufacturing sector in Spain
                                 TABLE 129 AI IN MANUFACTURING MARKET IN SPAIN FOR SERVICES, BY OFFERING, 2017–2019 (USD MILLION)
                                 TABLE 130 AI IN MANUFACTURING MARKET IN SPAIN FOR SERVICES, BY OFFERING, 2020–2026 (USD MILLION)
             10.3.7 REST OF EUROPE
                    TABLE 131 AI IN MANUFACTURING MARKET IN REST OF EUROPE FOR SERVICES, BY OFFERING, 2017–2019 (USD MILLION)
                    TABLE 132 AI IN MANUFACTURING MARKET IN REST OF EUROPE FOR SERVICES, BY OFFERING, 2020–2026 (USD MILLION)
     10.4 APAC
          FIGURE 37 IMPACT OF COVID-19 ON AI IN MANUFACTURING MARKET IN APAC
          TABLE 133 PRE- AND POST-COVID-19 ANALYSIS FOR AI IN MANUFACTURING MARKET IN APAC, 2017–2026 (USD MILLION)
             10.4.1 IMPACT OF COVID-19 ON AI IN MANUFACTURING MARKET IN APAC
                    FIGURE 38 APAC: SNAPSHOT OF AI IN MANUFACTURING MARKET
                    TABLE 134 AI IN MANUFACTURING MARKET IN APAC, BY COUNTRY, 2017–2019 (USD MILLION)
                    TABLE 135 AI IN MANUFACTURING MARKET IN APAC, BY COUNTRY, 2020–2026 (USD MILLION)
                    TABLE 136 AI IN MANUFACTURING MARKET IN APAC FOR HARDWARE, BY COUNTRY, 2017–2019 (USD MILLION)
                    TABLE 137 AI IN MANUFACTURING MARKET IN APAC FOR HARDWARE, BY COUNTRY, 2020–2026 (USD MILLION)
                    TABLE 138 AI IN MANUFACTURING MARKET IN APAC FOR SOFTWARE, BY COUNTRY, 2017–2019 (USD MILLION)
                    TABLE 139 AI IN MANUFACTURING MARKET IN APAC FOR SOFTWARE, BY COUNTRY, 2020–2026 (USD MILLION)
                    TABLE 140 AI IN MANUFACTURING MARKET IN APAC FOR SERVICES, BY COUNTRY, 2017–2019 (USD MILLION)
                    TABLE 141 POST-COVID-19 AI IN MANUFACTURING MARKET IN APAC FOR SERVICES, BY COUNTRY, 2020–2026 (USD MILLION)
                    TABLE 142 AI IN MANUFACTURING MARKET IN APAC, BY INDUSTRY, 2017–2019 (USD MILLION)
                    TABLE 143 AI IN MANUFACTURING MARKET IN APAC, BY INDUSTRY, 2020–2026 (USD MILLION)
             10.4.2 CHINA
                        10.4.2.1 Manufacturing sector in China is growing rapidly, resulting in introduction of new robotics and big data technologies
                                 TABLE 144 AI IN MANUFACTURING MARKET IN CHINA, BY OFFERING, 2017–2019 (USD MILLION)
                                 TABLE 145 AI IN MANUFACTURING MARKET IN CHINA, BY OFFERING, 2020–2026 (USD MILLION)
             10.4.3 JAPAN
                        10.4.3.1 Federal initiatives and presence of world-leading manufacturing companies are expected to boost AI in manufacturing market in Japan
                                 TABLE 146 AI IN MANUFACTURING MARKET IN JAPAN, BY OFFERING, 2017–2019 (USD MILLION)
                                 TABLE 147 AI IN MANUFACTURING MARKET IN JAPAN, BY OFFERING, 2020–2026 (USD MILLION)
             10.4.4 SOUTH KOREA
                        10.4.4.1 Quality manufacturing services and introduction of automation in manufacturing industries is driving market of AI in manufacturing in South Korea
                                 TABLE 148 AI IN MANUFACTURING MARKET IN SOUTH KOREA, BY OFFERING, 2017–2019 (USD MILLION)
                                 TABLE 149 AI IN MANUFACTURING MARKET IN SOUTH KOREA, BY OFFERING, 2020–2026 (USD MILLION)
             10.4.5 INDIA
                        10.4.5.1 AI in manufacturing industry is still in its nascent stage in India
                                 TABLE 150 AI IN MANUFACTURING MARKET IN INDIA, BY OFFERING, 2017–2019 (USD MILLION)
                                 TABLE 151 AI IN MANUFACTURING MARKET IN INDIA, BY OFFERING, 2020–2026 (USD MILLION)
             10.4.6 REST OF APAC
                    TABLE 152 AI IN MANUFACTURING MARKET IN REST OF APAC, BY OFFERING, 2017–2019 (USD MILLION)
                    TABLE 153 AI IN MANUFACTURING MARKET IN REST OF APAC, BY OFFERING, 2020–2026 (USD MILLION)
     10.5 ROW
          FIGURE 39 IMPACT OF COVID-19 ON AI IN MANUFACTURING MARKET IN ROW
          TABLE 154 PRE- AND POST-COVID-19 ANALYSIS FOR AI IN MANUFACTURING MARKET IN ROW, 2017–2026 (USD MILLION)
             10.5.1 IMPACT OF COVID-19 ON AI IN MANUFACTURING IN ROW
                    FIGURE 40 ROW: SNAPSHOT OF AI IN MANUFACTURING MARKET
                    TABLE 155 AI IN MANUFACTURING MARKET IN ROW, BY REGION, 2017–2019 (USD MILLION)
                    TABLE 156 AI IN MANUFACTURING MARKET IN ROW, BY REGION, 2020–2026 (USD MILLION)
                    TABLE 157 AI IN MANUFACTURING MARKET IN ROW FOR HARDWARE, BY REGION, 2017–2019 (USD MILLION)
                    TABLE 158 AI IN MANUFACTURING MARKET IN ROW FOR HARDWARE, BY REGION, 2020–2026 (USD MILLION)
                    TABLE 159 AI IN MANUFACTURING MARKET IN ROW FOR SOFTWARE, BY REGION, 2017–2019 (USD MILLION)
                    TABLE 160 AI IN MANUFACTURING MARKET IN ROW FOR SOFTWARE, BY REGION, 2020–2026 (USD MILLION)
                    TABLE 161 AI IN MANUFACTURING MARKET IN ROW FOR SERVICES, BY REGION, 2017–2019 (USD MILLION)
                    TABLE 162 AI IN MANUFACTURING MARKET IN ROW FOR SERVICES, BY REGION, 2020–2026 (USD MILLION)
                    TABLE 163 AI IN MANUFACTURING MARKET IN ROW, BY INDUSTRY, 2017–2019 (USD MILLION)
                    TABLE 164 AI IN MANUFACTURING MARKET IN ROW, BY INDUSTRY, 2020–2026 (USD MILLION)
             10.5.2 SOUTH AMERICA
                        10.5.2.1 South American region invests heavily in IT services
                                 TABLE 165 AI IN MANUFACTURING MARKET IN SOUTH AMERICA, BY OFFERING, 2017–2019 (USD MILLION)
                                 TABLE 166 AI IN MANUFACTURING MARKET IN SOUTH AMERICA, BY OFFERING, 2020–2026 (USD MILLION)
             10.5.3 MIDDLE EAST AND AFRICA
                        10.5.3.1 Growing manufacturing expenditure in Israel, Middle East, and North Africa is key driver for AI in manufacturing
                                 TABLE 167 AI IN MANUFACTURING MARKET IN MIDDLE EAST & AFRICA, BY OFFERING, 2017–2019 (USD MILLION)
                                 TABLE 168 AI IN MANUFACTURING MARKET IN MIDDLE EAST & AFRICA, BY OFFERING, 2020–2026 (USD MILLION)

11 COMPETITIVE LANDSCAPE (Page No. - 178)
     11.1 OVERVIEW
          FIGURE 41 KEY DEVELOPMENTS ADOPTED BY TOP PLAYERS IN AI IN MANUFACTURING MARKET FROM 2017 TO 2020
     11.2 RANKING OF PLAYERS, 2019
          FIGURE 42 RANKING OF KEY COMPANIES IN AI IN MANUFACTURING MARKET (2019)
     11.3 COMPETITIVE LEADERSHIP MAPPING
             11.3.1 VISIONARY LEADERS
             11.3.2 DYNAMIC DIFFERENTIATORS
             11.3.3 INNOVATORS
             11.3.4 EMERGING COMPANIES
                    FIGURE 43 AI IN MANUFACTURING MARKET (GLOBAL) COMPETITIVE LEADERSHIP MAPPING, 2019
     11.4 COMPETITIVE SCENARIO
          FIGURE 44 BATTLE FOR MARKET SHARE: PRODUCT LAUNCH WAS KEY GROWTH STRATEGY FROM 2017 TO 2020
             11.4.1 PRODUCT LAUNCHES AND DEVELOPMENTS
             11.4.2 COLLABORATIONS, PARTNERSHIPS, AND AGREEMENTS
             11.4.3 ACQUISITIONS & JOINT VENTURES

12 COMPANY PROFILES (Page No. - 194)
(Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View)*
     12.1 KEY PLAYERS
             12.1.1 NVIDIA
                    FIGURE 45 NVIDIA: COMPANY SNAPSHOT
             12.1.2 INTEL
                    FIGURE 46 INTEL: COMPANY SNAPSHOT
             12.1.3 IBM
                    FIGURE 47 IBM: COMPANY SNAPSHOT
             12.1.4 SIEMENS
                    FIGURE 48 SIEMENS: COMPANY SNAPSHOT
             12.1.5 GENERAL ELECTRIC (GE) COMPANY
                    FIGURE 49 GE: COMPANY SNAPSHOT
             12.1.6 GOOGLE
                    FIGURE 50 GOOGLE: COMPANY SNAPSHOT
             12.1.7 MICROSOFT
                    FIGURE 51 MICROSOFT: COMPANY SNAPSHOT
             12.1.8 MICRON TECHNOLOGY
                    FIGURE 52 MICRON TECHNOLOGY: COMPANY SNAPSHOT
             12.1.9 AMAZON WEB SERVICES (AWS)
                    FIGURE 53 AWS: COMPANY SNAPSHOT
             12.1.10 SIGHT MACHINE
     12.2 OTHER COMPANIES
             12.2.1 PROGRESS SOFTWARE CORPORATION (DATARPM)
             12.2.2 AIBRAIN
             12.2.3 GENERAL VISION
             12.2.4 ROCKWELL AUTOMATION
             12.2.5 CISCO SYSTEMS
             12.2.6 MITSUBISHI ELECTRIC
             12.2.7 ORACLE
             12.2.8 SAP
             12.2.9 VICARIOUS
             12.2.10 UBTECH ROBOTICS
             12.2.11 AQUANT
             12.2.12 BRIGHT MACHINES
             12.2.13 RETHINK ROBOTICS GMBH
             12.2.14 SPARKCOGNITION
             12.2.15 FLUTURA

*Details on Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View might not be captured in case of unlisted companies.

13 ADJACENT & RELATED MARKETS (Page No. - 244)
     13.1 INTRODUCTION
     13.2 LIMITATIONS
     13.3 AI ECOSYSTEM AND INTERCONNECTED MARKETS
     13.4 SMART MANUFACTURING PLATFORM MARKET
             13.4.1 MARKET DEFINITION
             13.4.2 MARKET OVERVIEW
     13.5 SMART MANUFACTURING PLATFORM MARKET, BY APPLICATION
             13.5.1 PERFORMANCE OPTIMIZATION
                        13.5.1.1 Increasing need for monitoring operations and production processes drives market growth
                                 TABLE 169 SMART MANUFACTURING PLATFORM MARKET FOR PERFORMANCE OPTIMIZATION, BY DISCRETE INDUSTRY, 2015–2024 (USD MILLION)
                                 TABLE 170 SMART MANUFACTURING PLATFORM MARKET FOR PERFORMANCE OPTIMIZATION, BY PROCESS INDUSTRY, 2015–2024 (USD MILLION)
             13.5.2 ASSET AND CONDITION MONITORING
                        13.5.2.1 Market is driven by increasing need for monitoring equipment and assets in real time
                                 TABLE 171 SMART MANUFACTURING PLATFORM MARKET FOR ASSET AND CONDITION MONITORING, BY DISCRETE INDUSTRY, 2015–2024 (USD MILLION)
                                 TABLE 172 SMART MANUFACTURING PLATFORM MARKET FOR ASSET AND CONDITION MONITORING, BY PROCESS INDUSTRY, 2015–2024 (USD MILLION)
             13.5.3 OTHERS
                    TABLE 173 SMART MANUFACTURING PLATFORM MARKET FOR OTHER APPLICATIONS, BY DISCRETE INDUSTRY, 2015–2024 (USD MILLION)
                    TABLE 174 SMART MANUFACTURING PLATFORM MARKET FOR OTHER APPLICATIONS, BY PROCESS INDUSTRY, 2015–2024 (USD MILLION)
     13.6 SMART MANUFACTURING PLATFORM, BY INDUSTRY
             13.6.1 PROCESS INDUSTRY
                    TABLE 175 SMART MANUFACTURING PLATFORM MARKET, BY PROCESS INDUSTRY, 2015–2024 (USD MILLION)
                    TABLE 176 SMART MANUFACTURING PLATFORM MARKET FOR PROCESS INDUSTRY, BY REGION, 2015–2024 (USD MILLION)
                        13.6.1.1 Oil & gas
                                     13.6.1.1.1 Oil & gas is one of the critical industries for smart manufacturing platform market as it requires continuous monitoring of processes
                                                TABLE 177 SMART MANUFACTURING PLATFORM MARKET FOR OIL & GAS INDUSTRY, BY REGION, 2015–2024 (USD MILLION)
                        13.6.1.2 Power & energy
                                     13.6.1.2.1 Power & energy is fastest-growing process industry for smart manufacturing platform market as it requires optimum utilization of available resources
                                                TABLE 178 SMART MANUFACTURING PLATFORM MARKET FOR POWER & ENERGY INDUSTRY, BY REGION, 2015–2024 (USD MILLION)
                        13.6.1.3 Chemicals
                                     13.6.1.3.1 Increasing stringent regulations that require adoption of automated solutions and smart tools drive market growth
                                                TABLE 179 SMART MANUFACTURING PLATFORM MARKET FOR CHEMICALS INDUSTRY, BY REGION, 2015–2024 (USD MILLION)
                        13.6.1.4 Pharmaceuticals
                                     13.6.1.4.1 Automation improves compliance and minimizes deviations
                                                TABLE 180 SMART MANUFACTURING PLATFORM MARKET FOR PHARMACEUTICALS INDUSTRY, BY REGION, 2015–2024 (USD MILLION)
                        13.6.1.5 Food & beverages
                                     13.6.1.5.1 Requirement to reduce operational downtime and manage assets creates demand for smart manufacturing platform
                                                TABLE 181 SMART MANUFACTURING PLATFORM MARKET FOR FOOD & BEVERAGES INDUSTRY, BY REGION, 2015–2024 (USD MILLION)
                        13.6.1.6 Metals and mining
                                     13.6.1.6.1 Requirement of optimum production with precise control on power consumption in metals & mining industry drives growth of smart manufacturing platform market
                                                TABLE 182 SMART MANUFACTURING PLATFORM MARKET FOR METALS & MINING INDUSTRY, BY REGION, 2015–2024 (USD MILLION)
                        13.6.1.7 Others
                                 TABLE 183 SMART MANUFACTURING PLATFORM MARKET FOR OTHER PROCESS INDUSTRIES, BY REGION, 2015–2024 (USD MILLION)
             13.6.2 DISCRETE INDUSTRY
                    TABLE 184 SMART MANUFACTURING PLATFORM MARKET, BY DISCRETE INDUSTRY, 2015–2024 (USD MILLION)
                    TABLE 185 SMART MANUFACTURING PLATFORM MARKET FOR DISCRETE INDUSTRY, BY REGION, 2015–2024 (USD MILLION)
                        13.6.2.1 Automotive
                                     13.6.2.1.1 Increasing adoption of advanced technologies such as machine vision, collaborative robots, and artificial intelligence drives market growth
                                                TABLE 186 SMART MANUFACTURING PLATFORM MARKET FOR AUTOMOTIVE INDUSTRY, BY REGION, 2015–2024 (USD MILLION)
                        13.6.2.2 Electronics and semiconductor
                                     13.6.2.2.1 Intense cost pressure and requirement of faster time-to-market for automation technologies drive the growth of market
                                                TABLE 187 SMART MANUFACTURING PLATFORM MARKET FOR ELECTRONICS AND SEMICONDUCTOR INDUSTRY, BY REGION, 2015–2024 (USD MILLION)
                        13.6.2.3 Industrial manufacturing
                                     13.6.2.3.1 Smart manufacturing platforms are used to reduce downtime and enhance operation efficiency
                                                TABLE 188 SMART MANUFACTURING PLATFORM MARKET FOR INDUSTRIAL MANUFACTURING, BY REGION, 2015–2024 (USD MILLION)
                        13.6.2.4 Medical devices
                                     13.6.2.4.1 Increasing automation in industry to ensure safety, accuracy, and regulatory compliance across production processes drives market growth
                                                TABLE 189 SMART MANUFACTURING PLATFORM MARKET FOR MEDICAL DEVICES INDUSTRY, BY REGION, 2015–2024 (USD MILLION)
                        13.6.2.5 Aerospace and defense
                                     13.6.2.5.1 Long product life cycles and regulatory compliance drive demand for automation technologies
                                                TABLE 190 SMART MANUFACTURING PLATFORM MARKET FOR AEROSPACE AND DEFENSE INDUSTRY, BY REGION, 2015–2024 (USD MILLION)
                        13.6.2.6 Others
                                 TABLE 191 SMART MANUFACTURING PLATFORM MARKET FOR OTHER DISCRETE INDUSTRIES, BY REGION, 2015–2024 (USD MILLION)
     13.7 SMART MANUFACTURING PLATFORM MARKET, BY REGION
             13.7.1 NORTH AMERICA
                    TABLE 192 SMART MANUFACTURING PLATFORM MARKET IN NORTH AMERICA, BY DISCRETE INDUSTRY, 2015–2024 (USD MILLION)
                    TABLE 193 SMART MANUFACTURING PLATFORM MARKET IN NORTH AMERICA, BY PROCESS INDUSTRY, 2015–2024 (USD MILLION)
             13.7.2 EUROPE
                    TABLE 194 SMART MANUFACTURING PLATFORM MARKET IN EUROPE, BY DISCRETE INDUSTRY, 2015–2024 (USD MILLION)
                    TABLE 195 SMART MANUFACTURING PLATFORM MARKET IN EUROPE, BY PROCESS INDUSTRY, 2015–2024 (USD MILLION)
             13.7.3 APAC
                    TABLE 196 SMART MANUFACTURING PLATFORM MARKET IN APAC, BY DISCRETE INDUSTRY, 2015–2024 (USD MILLION)
                    TABLE 197 SMART MANUFACTURING PLATFORM MARKET IN APAC, BY PROCESS INDUSTRY, 2015–2024 (USD MILLION)
             13.7.4 REST OF THE WORLD
                    TABLE 198 SMART MANUFACTURING PLATFORM MARKET IN ROW, BY DISCRETE INDUSTRY, 2015–2024 (USD MILLION)
                    TABLE 199 SMART MANUFACTURING PLATFORM MARKET IN ROW, BY PROCESS INDUSTRY, 2015–2024 (USD MILLION)
     13.8 ARTIFICIAL INTELLIGENCE ROBOTS MARKET
             13.8.1 MARKET DEFINITION
             13.8.2 MARKET OVERVIEW
             13.8.3 ARTIFICIAL INTELLIGENCE ROBOTS MARKET, BY TECHNOLOGY
                        13.8.3.1 Machine learning
                                 TABLE 200 AI ROBOTS MARKET FOR MACHINE LEARNING TECHNOLOGY, BY APPLICATION, 2015–2023 (USD MILLION)
                        13.8.3.2 Computer vision
                                 TABLE 201 AI ROBOTS MARKET FOR COMPUTER VISION TECHNOLOGY, BY APPLICATION, 2015–2023 (USD MILLION)
                        13.8.3.3 Context awareness
                                 TABLE 202 AI ROBOTS MARKET FOR CONTEXT AWARENESS TECHNOLOGY, BY APPLICATION, 2015–2023 (USD MILLION)
                        13.8.3.4 Natural language processing
                                 TABLE 203 AI ROBOTS MARKET FOR NLP TECHNOLOGY, BY APPLICATION, 2015–2023 (USD MILLION)
             13.8.4 ARTIFICIAL INTELLIGENCE ROBOTS MARKET, BY APPLICATION
                        13.8.4.1 Military & defense
                                 TABLE 204 AI ROBOTS MARKET FOR MILITARY & DEFENSE, BY REGION, 2015–2023 (USD MILLION)
                        13.8.4.2 Law enforcement
                                 TABLE 205 AI ROBOTS MARKET FOR LAW ENFORCEMENT, BY REGION, 2015–2023 (USD MILLION)
                        13.8.4.3 Personal assistance and caregiving
                                 TABLE 206 AI ROBOTS MARKET FOR PERSONAL ASSISTANCE AND CAREGIVING, BY REGION, 2015–2023 (USD MILLION)
                        13.8.4.4 Public relations
                                 TABLE 207 AI ROBOTS MARKET FOR PUBLIC RELATIONS, BY REGION, 2015–2023 (USD MILLION)
                        13.8.4.5 Education and entertainment
                                 TABLE 208 AI ROBOTS MARKET FOR EDUCATION AND ENTERTAINMENT, BY REGION, 2015–2023 (USD MILLION)
                        13.8.4.6 Research and space exploration
                                 TABLE 209 AI ROBOTS MARKET FOR RESEARCH AND SPACE EXPLORATION, BY REGION, 2015–2023 (USD MILLION)
                        13.8.4.7 Industrial
                                 TABLE 210 AI ROBOTS MARKET FOR INDUSTRIAL, BY REGION, 2015–2023 (USD MILLION)
                        13.8.4.8 Agriculture
                                 TABLE 211 AI ROBOTS MARKET FOR AGRICULTURE, BY REGION, 2015–2023 (USD MILLION)
                        13.8.4.9 Healthcare assistance
                                 TABLE 212 AI ROBOTS MARKET FOR HEALTHCARE ASSISTANCE, BY REGION, 2015–2023 (USD MILLION)
                        13.8.4.10 Stock management
                                 TABLE 213 AI ROBOTS MARKET FOR STOCK MANAGEMENT, BY REGION, 2015–2023 (USD MILLION)
                        13.8.4.11 Others
                                 TABLE 214 AI ROBOTS MARKET FOR OTHER APPLICATIONS, BY REGION, 2015–2023 (USD MILLION)
     13.9 COVID-19 IMPACT ON SMART MANUFACTURING MARKET
             13.9.1 MARKET DEFINITION
             13.9.2 MARKET OVERVIEW
                    FIGURE 54 SMART MANUFACTURING MARKET ECOSYSTEM
             13.9.3 COVID-19 IMPACT ON SMART MANUFACTURING, BY REGION
                    TABLE 215 SMART MANUFACTURING MARKET, BY REGION, 2017–2025 (USD BILLION)
                        13.9.3.1 North America
                                 FIGURE 55 IMPACT OF COVID-19 ON SMART MANUFACTURING MARKET IN NORTH AMERICA
                                 TABLE 216 PRE- AND POST-COVID-19 ANALYSIS FOR SMART MANUFACTURING MARKET IN NORTH AMERICA, 2017–2025 (USD BILLION)
                        13.9.3.2 Europe
                                 FIGURE 56 IMPACT OF COVID-19 ON SMART MANUFACTURING MARKET IN EUROPE
                                 TABLE 217 PRE- AND POST-COVID-19 ANALYSIS FOR SMART MANUFACTURING MARKET IN EUROPE, 2017–2025 (USD BILLION)
                        13.9.3.3 APAC
                                 FIGURE 57 IMPACT OF COVID-19 ON SMART MANUFACTURING MARKET IN APAC
                                 TABLE 218 PRE- AND POST-COVID-19 ANALYSIS FOR SMART MANUFACTURING MARKET IN APAC, 2017–2025 (USD BILLION)
                        13.9.3.4 RoW
                                 FIGURE 58 IMPACT OF COVID-19 ON SMART MANUFACTURING MARKET IN ROW
                                 TABLE 219 PRE- AND POST-COVID-19 ANALYSIS FOR SMART MANUFACTURING MARKET IN ROW, 2017–2025 (USD BILLION)

14 APPENDIX (Page No. - 291)
     14.1 INSIGHTS FROM INDUSTRY EXPERTS
     14.2 DISCUSSION GUIDE
     14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
     14.4 AVAILABLE CUSTOMIZATIONS
     14.5 RELATED REPORTS
     14.6 AUTHOR DETAILS

The study involved the estimation of the current size of the Artificial Inteeligence (AI) in manufacturing market. Exhaustive secondary research was conducted to collect information on the market, its peer markets, and its parent market. This was followed by the validation of these findings, assumptions, and sizing with the industry experts identified across the value chain through primary research. Both, top-down and bottom-up approaches were employed to estimate the overall size of the market. It was followed by the market breakdown and data triangulation procedures, which were used to estimate the size of the market based on different segments and subsegments.

Secondary Research

In the secondary research process, various secondary sources were referred to for the identification and collection of relevant information for this study on AI in manufacturing market. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers; journals and certified publications; and articles by recognized authors, websites, directories, and databases. Secondary research was conducted to obtain the key information regarding the supply chain and value chain of the industry, total pool of key players, market segmentation according to industry trends (to the bottom-most level), geographic markets, and key developments from market- and technology-oriented perspectives. Secondary data was collected and analyzed to arrive at the overall size of the AI in manufacturing market and from executives of various key companies and organizations operating in the AI in manufacturing market.

Primary Research

Extensive primary research was conducted after understanding and analyzing the AI in manufacturing market through secondary research. Several primary interviews were conducted (with a key focus on the impact of COVID-19) with key opinion leaders from both the demand- and supply-side vendors across four major regions—North America, Europe, APAC, and RoW. RoW comprises the Middle East and Africa and South America.

Primary data has been collected through questionnaires, emails, and telephonic interviews. In the canvassing of primaries, various departments within organizations, such as sales, operations, and administration, were covered to provide a holistic viewpoint in our report.

Artificial Intelligence in Manufacturing Market Size, and Share

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

Market Size Estimation

Top-down and bottom-up approaches were implemented to estimate and validate the total size of the AI in manufacturing market.

Bottom-up approach

The bottom-up approach has been employed to arrive at the overall size of the AI in m market from the revenue of the key players and their share in this market. The overall market size was calculated based on the revenue of the key players identified for this market.

  • Identifying the various process industries that are using or are expected to implement AI in manufacturing along with the related hardware, software, and services at their production floor
  • Analyzing each industry along with the related major companies and system integrators, as well as identifying the service providers for the implementation of AI products and services
  • Estimating and understanding the demand generated by industries in the overall AI in manufacturing market; this helps in understanding the demand generated by the industries and related companies for both pre- and post-COVID-19 scenarios
  • Tracking the ongoing and upcoming implementation of AI in manufacturing project by process industries and forecast the market based on these developments and anticipated change in the demand in the post-COVID-19 scenario
  • Conducting multiple discussions with key opinion leader to understand the types of contracts, services, AI products and services, and software deployed by the companies in the AI in manufacturing market these discussions help in analyzing the break-up of the scope of work carried out by each major company in the overall AI in manufacturing market and understand the impact of COVID-19
  • Analyzing the AI-based systems in the manufacturing companies as per their countries, and then combining this information to get the market estimate by regions
  • Verifying the estimate at every level through discussions with key opinion leaders, such as CXOs, directors, and operation managers, and then finally with the domain experts based within MarketsandMarkets
  • Studying various paid and unpaid sources of information such as annual reports, press releases, white papers, and database.

Artificial Intelligence in Manufacturing Market Bottom-Up Approach

Top-down Approach

In the top-down approach, the overall market size has been used to estimate the size of the individual markets (mentioned in the market segmentation) through percentage splits from secondary and primary research.

  • Focusing on top-line investments and expenditures being made in the ecosystems of various end-user industries. Additionally, listing key developments, analyzing updated technology and software in the marketplace, as well as evaluating the market by further splitting it into various AI technologies.
  • Building and developing the information related to the market revenue generated by the key AI in manufacturing companies
  • Conducting multiple on-field discussions with key opinion leaders involved in the development of AI in manufacturing products, solutions, and services
  • Estimating geographic splits by using secondary sources, based on various factors such as number of players in a specific country and region, type of AI hardware/solution, level of services offered in the end-user industry
  • Impact of COVID-19 on the steps mentioned above has also been considered

Artificial Intelligence in Manufacturing Market Top-Down Approach

Data Triangulation

After arriving at the overall size of the AI in manufacturing market—using the market size estimation processes as explained above—the market was split into several segments and subsegments. Data triangulation and market breakdown procedures were employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment. The data was triangulated by studying various factors and trends from the demand and supply sides across different applications.

Report Objectives

  • To describe and forecast the AI in manufacturing market, in terms of value and volume, based on type, rechargeability, and end-use application
  • To describe and forecast the market size for 4 major regions—North America, Europe, Asia Pacific (APAC), and the Rest of the World (RoW)
  • To provide detailed information regarding the major factors such as drivers, restraints, opportunities, and challenges influencing the growth of the market
  • To analyze opportunities in the AI in manufacturing market for stakeholders and provide a detailed competitive landscape of the market for the leading players
  • To strategically profile the key players operating in the market and comprehensively analyze their core competencies
  • To map the competitive intelligence based on the company profiles, as well as key growth strategies adopted and game-changing developments such as product developments, collaborations, and acquisitions undertaken in the market

Available Customizations

MarketsandMarkets offers the following customizations for this report:

  • Country-wise breakdown of offering (hardware, software, services), including North America, Europe, APAC, and RoW
  • Region-wise market size in terms of Industry
  • Comprehensive coverage of funding/M&A activities, regulations followed in each region (North America, APAC, Europe, and RoW)
COVID-19

Get in-depth analysis of the COVID-19 impact on the Artificial Intelligence in Manufacturing Market

Benchmarking the rapid strategy shifts of the Top 100 companies in the Artificial Intelligence in Manufacturing Market

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