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
[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.
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 ofmarket 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 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.
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 |
20172026 |
|
Base year |
2019 |
|
Forecast period |
20202026 |
|
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 Microns 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.
Frequently Asked Questions (FAQ):
Which are the major companies in the market? What are their major strategies to strengthen their market presence?
NVIDIA, Intel, IBM, Siemens and General Electric (GE) Company are some of the major players in AI in manufacturing market. Product launches and developments is one of the key strategies adopted by these players. Apart from launches, these players have announced collaborations to provide solutions across a variety of applications and industries.
What are the drivers for the AI in manufacturing market?
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.
Which industries are expected to drive the growth of the market in the next 5 years?
The AI based manufacturing products and solution is expected to be adopted extensively in the automobile industry during the forecast period. The application of AI to boost employee productivity, improve quality control, and gain better control over business support functions is supporting the growth of AI in the automobile industry.
Which region is expected to witness significant demand for AI in manufacturing in the coming years?
The APAC region is expected to witness significant demand for AI in manufacturing products and solutions, mainly due to the presence of large number of industries in the China, Taiwan, and India. These countries are considered as some of the important manufacturing hubs worldwide. Also, the increasing adoption AI based robots in the APAC region is driving the market.
Which AI in manufacturing application is dominating the global market?
Predictive maintenance and machinery inspection application is expected to dominate the AI in manufacturing market worldwide. The increasing demand for reducing the operational costs and machine downtime is driving the growth of predictive maintenance and machinery inspection application in industries. .
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
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 MARKET, BY TECHNOLOGY, 20172026 (USD MILLION)
FIGURE 7 MARKET, BY APPLICATION, 2020 VS. 2026 (USD MILLION)
FIGURE 8 MARKET, BY INDUSTRY, 2020 VS. 2026
FIGURE 9 MARKET, BY REGION, 2019
3.1 COVID-19 IMPACT ANALYSIS: 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 MARKET, BY OFFERING
FIGURE 12 SOFTWARE TO HOLD LARGEST SHARE OF MARKET DURING FORECAST PERIOD
4.3 MARKET, BY TECHNOLOGY
FIGURE 13 MARKET FOR MACHINE LEARNING TO HOLD LARGEST SIZE FROM 2020 TO 2026
4.4 APAC: MARKET, BY INDUSTRY AND COUNTRY
FIGURE 14 CHINA HELD LARGEST SHARE OF AI IN MANUFACTURING MARKET IN APAC IN 2019
4.5 MARKET, BY COUNTRY
FIGURE 15 CHINA HELD LARGEST SHARE OF 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 FUJITSUS 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 MACHINES 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, 20172026 (USD MILLION)
FIGURE 18 SOFTWARE TO HOLD LARGEST SIZE OF MARKET DURING FORECAST PERIOD
TABLE 3 MARKET, BY OFFERING, 20172019 (USD MILLION)
TABLE 4 MARKET, BY OFFERING, 20202026 (USD MILLION)
6.2 HARDWARE
TABLE 5 MARKET, BY HARDWARE, 20172019 (USD MILLION)
TABLE 6 MARKET, BY HARDWARE, 20202026 (USD MILLION)
TABLE 7 MARKET FOR HARDWARE, BY REGION, 20172019 (USD MILLION)
TABLE 8 AI IN MANUFACTURING MARKET FOR HARDWARE, BY REGION, 20202026 (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 MARKET, BY PROCESSOR, 20172019 (USD MILLION)
TABLE 10 AI IN MANUFACTURING MARKET, BY PROCESSOR, 20202026 (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 MARKET FOR OFFERING, BY SOFTWARE, 20172019 (USD MILLION)
TABLE 12 MARKET FOR OFFERING, BY SOFTWARE, 20202026 (USD MILLION)
FIGURE 20 APAC TO HOLD LARGEST SIZE OF AI IN MANUFACTURING MARKET FOR SOFTWARE FROM 2020 TO 2026
TABLE 13 MARKET FOR SOFTWARE, BY REGION, 20172019 (USD MILLION)
TABLE 14 MARKET FOR SOFTWARE, BY REGION, 20202026 (USD MILLION)
6.3.1 AI SOLUTIONS
TABLE 15 MARKET FOR SOLUTION, BY DEPLOYMENT, 20172019 (USD MILLION)
TABLE 16 AI IN MANUFACTURING MARKET FOR SOLUTION, BY DEPLOYMENT, 20202026 (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 the development of robust cloud-based solutions for their clients
6.3.2 AI PLATFORM
TABLE 17 MARKET FOR SOFTWARE, BY PLATFORM, 20172019 (USD MILLION)
TABLE 18 AI IN MANUFACTURING MARKET FOR SOFTWARE, BY PLATFORM, 20202026 (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 a platform for a set of routines and tools for building software applications
6.4 SERVICES
TABLE 19 MARKET, BY SERVICES, 20172019 (USD MILLION)
TABLE 20 AI IN MANUFACTURING MARKET, BY SERVICES, 20202026 (USD MILLION)
TABLE 21 MARKET FOR SERVICES, BY REGION, 20172019 (USD MILLION)
TABLE 22 MARKET FOR SERVICES, BY REGION, 20202026 (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 accept 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, 20172026 (USD MILLION)
FIGURE 21 MACHINE LEARNING TO HOLD LARGEST MARKET SHARE OF MARKET IN 2020 AND 2026
TABLE 24 MARKET, BY TECHNOLOGY, 20172019 (USD MILLION)
TABLE 25 MARKET, BY TECHNOLOGY, 20202026 (USD MILLION)
7.2 MACHINE LEARNING
TABLE 26 MARKET FOR MACHINE LEARNING, BY TYPE, 20172019 (USD MILLION)
TABLE 27 AI IN MANUFACTURING MARKET FOR MACHINE LEARNING, BY TYPE, 20202026 (USD MILLION)
TABLE 28 MARKET FOR MACHINE LEARNING, BY APPLICATION, 20172019 (USD MILLION)
TABLE 29 MARKET FOR MACHINE LEARNING, BY APPLICATION, 20202026 (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 the 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, 20172019 (USD MILLION)
TABLE 31 MARKET FOR NATURAL LANGUAGE PROCESSING, BY APPLICATION, 20202026 (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 MARKET FOR CONTEXT-AWARE COMPUTING, BY TYPE, 20172019 (USD MILLION)
TABLE 33 MARKET FOR CONTEXT-AWARE COMPUTING, BY TYPE, 20202026 (USD MILLION)
TABLE 34 MARKET FOR CONTEXT-AWARE COMPUTING, BY APPLICATION, 20172019 (USD MILLION)
TABLE 35 AI IN MANUFACTURING MARKET FOR CONTEXT-AWARE COMPUTING, BY APPLICATION, 20202026 (USD MILLION)
7.5 COMPUTER VISION
7.5.1 COMPUTER VISION ANALYZES INFORMATION OF DIFFERENT GEOMETRIC SHAPES, VOLUMES, AND PATTERNS
TABLE 36 MARKET FOR COMPUTER VISION, BY APPLICATION, 20172019 (USD MILLION)
TABLE 37 MARKET FOR COMPUTER VISION, BY APPLICATION, 20202026 (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, 20172026 (USD MILLION)
FIGURE 22 QUALITY CONTROL TO WITNESS HIGHEST GROWTH THROUGHOUT FORECAST PERIOD
TABLE 39 MARKET, BY APPLICATION, 20172019 (USD MILLION)
TABLE 40 MARKET, BY APPLICATION, 20202026 (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 MARKET FOR PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION, BY REGION, 20172019 (USD MILLION)
TABLE 42 MARKET FOR PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION, BY REGION, 20202026 (USD MILLION)
TABLE 43 AI IN MANUFACTURING MARKET FOR PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION, BY TECHNOLOGY, 20172019 (USD MILLION)
TABLE 44 MARKET FOR PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION, BY TECHNOLOGY, 20202026 (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 MARKET FOR MATERIAL MOVEMENT, BY REGION, 20172019 (USD MILLION)
TABLE 46 MARKET FOR MATERIAL MOVEMENT, BY REGION, 20202026 (USD MILLION)
TABLE 47 MARKET FOR MATERIAL MOVEMENT, BY TECHNOLOGY, 20172019 (USD MILLION)
TABLE 48 AI IN MANUFACTURING MARKET FOR MATERIAL MOVEMENT, BY TECHNOLOGY, 20202026 (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 MARKET FOR PRODUCTION PLANNING, BY REGION, 20172019 (USD MILLION)
TABLE 50 MARKET FOR PRODUCTION PLANNING, BY REGION, 20202026 (USD MILLION)
TABLE 51 MARKET FOR PRODUCTION PLANNING, BY TECHNOLOGY, 20172019 (USD MILLION)
TABLE 52 MARKET FOR PRODUCTION PLANNING, BY TECHNOLOGY, 20202026 (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 MARKET FOR FIELD SERVICES, BY REGION, 20172019 (USD MILLION)
TABLE 54 MARKET FOR FIELD SERVICES, BY REGION, 20202026 (USD MILLION)
TABLE 55 AI IN MANUFACTURING MARKET FOR FIELD SERVICES, BY TECHNOLOGY, 20172019 (USD MILLION)
TABLE 56 MARKET FOR FIELD SERVICES, BY TECHNOLOGY, 20202026 (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 MARKET FOR QUALITY CONTROL, BY REGION, 20172019 (USD MILLION)
TABLE 58 MARKET FOR QUALITY CONTROL, BY REGION, 20202026 (USD MILLION)
FIGURE 25 MACHINE LEARNING TO HOLD LARGEST SIZE OF AI IN MANUFACTURING MARKET FOR APPLICATION OF QUALITY CONTROL DURING 20202026
TABLE 59 MARKET FOR QUALITY CONTROL, BY TECHNOLOGY, 20172019 (USD MILLION)
TABLE 60 MARKET FOR QUALITY CONTROL, BY TECHNOLOGY, 20202026 (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 MARKET FOR CYBERSECURITY, BY REGION, 20172019 (USD MILLION)
TABLE 62 MARKET FOR CYBERSECURITY, BY REGION, 20202026 (USD MILLION)
TABLE 63 MARKET FOR CYBERSECURITY, BY TECHNOLOGY, 20172019 (USD MILLION)
TABLE 64 AI IN MANUFACTURING MARKET FOR CYBERSECURITY, BY TECHNOLOGY, 20202026 (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 MARKET FOR APPLICATION OF INDUSTRIAL ROBOTS DURING 20202026
TABLE 65 MARKET FOR INDUSTRIAL ROBOTS, BY REGION, 20172019 (USD MILLION)
TABLE 66 MARKET FOR INDUSTRIAL ROBOTS, BY REGION, 20202026 (USD MILLION)
TABLE 67 MARKET FOR INDUSTRIAL ROBOTS, BY TECHNOLOGY, 20172019 (USD MILLION)
TABLE 68 AI IN MANUFACTURING MARKET FOR INDUSTRIAL ROBOTS, BY TECHNOLOGY, 20202026 (USD MILLION)
8.9 RECLAMATION
8.9.1 IN RECLAMATION, AI-BASED SYSTEMS DETECT IMPORTANT COMPONENTS FROM WASTE OR SLAGS
TABLE 69 MARKET FOR RECLAMATION, BY REGION, 20172019 (USD MILLION)
TABLE 70 MARKET FOR RECLAMATION, BY REGION, 20202026 (USD MILLION)
TABLE 71 MARKET FOR RECLAMATION, BY TECHNOLOGY, 20172019 (USD MILLION)
TABLE 72 AI IN MANUFACTURING MARKET FOR RECLAMATION, BY TECHNOLOGY, 20202026 (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, 20172026 (USD MILLION)
FIGURE 27 AUTOMOBILE HELD LARGEST SIZE OF MARKET IN 2020
TABLE 74 MARKET, BY INDUSTRY, 20172019 (USD MILLION)
TABLE 75 MARKET, BY INDUSTRY, 20202026 (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 market
TABLE 76 MARKET FOR AUTOMOBILE INDUSTRY, BY REGION, 20172019 (USD MILLION)
TABLE 77 MARKET FOR AUTOMOBILE INDUSTRY, BY REGION, 20202026 (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 MARKET FOR ENERGY AND POWER BY 2026
TABLE 78 MARKET FOR ENERGY AND POWER INDUSTRY, BY REGION, 20172019 (USD MILLION)
TABLE 79 MARKET FOR ENERGY AND POWER INDUSTRY, BY REGION, 20202026 (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 MARKET FOR PHARMACEUTICALS INDUSTRY, BY REGION, 20172019 (USD MILLION)
TABLE 81 MARKET FOR PHARMACEUTICALS INDUSTRY, BY REGION, 20202026 (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 market
FIGURE 29 APAC TO HOLD LARGEST SIZE OF AI IN MANUFACTURING MARKET FOR HEAVY METALS AND MACHINE MANUFACTURING DURING FORECAST PERIOD
TABLE 82 MARKET FOR HEAVY METALS AND MACHINE MANUFACTURING INDUSTRY, BY REGION, 20172019 (USD MILLION)
TABLE 83 MARKET FOR HEAVY METALS AND MACHINE MANUFACTURING INDUSTRY, BY REGION, 20202026 (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 market
TABLE 84 MARKET FOR SEMICONDUCTORS AND ELECTRONICS INDUSTRY, BY REGION, 20172019 (USD MILLION)
TABLE 85 MARKET FOR SEMICONDUCTORS AND ELECTRONICS INDUSTRY, BY REGION, 20202026 (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 MARKET FOR FOOD & BEVERAGES INDUSTRY, BY REGION, 20172019 (USD MILLION)
TABLE 87 MARKET FOR FOOD & BEVERAGES INDUSTRY, BY REGION, 20202026 (USD MILLION)
9.8 OTHERS
TABLE 88 MARKET FOR OTHERS, BY REGION, 20172019 (USD MILLION)
TABLE 89 MARKET FOR OTHERS, BY REGION, 20202026 (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 MARKET DURING FORECAST PERIOD
TABLE 90 PRE-COVID-19 SCENARIO: MARKET, BY REGION, 20172026 (USD MILLION)
TABLE 91 MARKET, BY REGION, 20172019 (USD MILLION)
TABLE 92 MARKET, BY REGION, 20202026 (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 MARKET IN NORTH AMERICA, 20172026 (USD MILLION)
10.2.1 IMPACT OF COVID-19 ON MARKET IN NORTH AMERICA
FIGURE 33 NORTH AMERICA: SNAPSHOT OF MARKET
TABLE 94 MARKET IN NORTH AMERICA, BY COUNTRY, 20172019 (USD MILLION)
TABLE 95 MARKET IN NORTH AMERICA, BY COUNTRY, 20202026 (USD MILLION)
TABLE 96 MARKET IN NORTH AMERICA FOR HARDWARE, BY COUNTRY, 20172019 (USD MILLION)
TABLE 97 MARKET IN NORTH AMERICA FOR HARDWARE, BY COUNTRY, 20202026 (USD MILLION)
TABLE 98 MARKET IN NORTH AMERICA FOR SOFTWARE, BY COUNTRY, 20172019 (USD MILLION)
TABLE 99 AI IN MANUFACTURING MARKET IN NORTH AMERICA FOR SOFTWARE, BY COUNTRY, 20202026 (USD MILLION)
TABLE 100 MARKET IN NORTH AMERICA FOR SERVICES, BY COUNTRY, 20172019 (USD MILLION)
TABLE 101 MARKET IN NORTH AMERICA FOR SERVICES, BY COUNTRY, 20202026 (USD MILLION)
TABLE 102 MARKET IN NORTH AMERICA, BY INDUSTRY, 20172019 (USD MILLION)
TABLE 103 MARKET IN NORTH AMERICA, BY INDUSTRY, 20202026 (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 MARKET IN US, BY OFFERING, 20172019 (USD MILLION)
TABLE 105 MARKET IN US, BY OFFERING, 20202026 (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, 20172019 (USD MILLION)
TABLE 107 MARKET IN CANADA, BY OFFERING, 20202026 (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 MARKET IN MEXICO, BY OFFERING, 20172019 (USD MILLION)
TABLE 109 MARKET IN MEXICO, BY OFFERING, 20202026 (USD MILLION)
10.3 EUROPE
FIGURE 34 IMPACT OF COVID-19 ON MARKET IN EUROPE
TABLE 110 PRE- AND POST-COVID-19 ANALYSIS FOR MARKET IN EUROPE, 20172026 (USD MILLION)
10.3.1 IMPACT OF COVID-19 ON AI IN MANUFACTURING MARKET IN EUROPE
FIGURE 35 EUROPE: SNAPSHOT OF MARKET
TABLE 111 MARKET IN EUROPE, BY COUNTRY, 20172019 (USD MILLION)
TABLE 112 MARKET IN EUROPE, BY COUNTRY, 20202026 (USD MILLION)
FIGURE 36 GERMANY HELD LARGEST SHARE OF MARKET IN EUROPE FOR HARDWARE IN 2019
TABLE 113 MARKET IN EUROPE FOR HARDWARE, BY COUNTRY, 20172019 (USD MILLION)
TABLE 114 MARKET IN EUROPE FOR HARDWARE, BY COUNTRY, 20202026 (USD MILLION)
TABLE 115 MARKET IN EUROPE FOR SOFTWARE, BY COUNTRY, 20172019 (USD MILLION)
TABLE 116 MARKET IN EUROPE FOR SOFTWARE, BY COUNTRY, 20202026 (USD MILLION)
TABLE 117 MARKET IN EUROPE FOR SERVICES, BY COUNTRY, 20172019 (USD MILLION)
TABLE 118 MARKET IN EUROPE FOR SERVICES, BY COUNTRY, 20202026 (USD MILLION)
TABLE 119 MARKET IN EUROPE, BY INDUSTRY, 20172019 (USD MILLION)
TABLE 120 AI IN MANUFACTURING MARKET IN EUROPE, BY INDUSTRY, 20202026 (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 MARKET IN EUROPE FOR SERVICES, BY COUNTRY, 20172019 (USD MILLION)
TABLE 122 MARKET IN EUROPE FOR SERVICES, BY COUNTRY, 20202026 (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 MARKET IN UK FOR SERVICES, BY OFFERING, 20172019 (USD MILLION)
TABLE 124 MARKET IN UK FOR SERVICES, BY OFFERING, 20202026 (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, 20172019 (USD MILLION)
TABLE 126 MARKET IN FRANCE FOR SERVICES, BY OFFERING, 20202026 (USD MILLION)
10.3.5 ITALY
10.3.5.1 Manufacturers in Italy are adopting smart factory and AI-based solutions
TABLE 127 MARKET IN ITALY FOR SERVICES, BY OFFERING, 20172019 (USD MILLION)
TABLE 128 MARKET IN ITALY FOR SERVICES, BY OFFERING, 20202026 (USD MILLION)
10.3.6 SPAIN
10.3.6.1 Cybersecurity is among emerging trends of AI in manufacturing sector in Spain
TABLE 129 MARKET IN SPAIN FOR SERVICES, BY OFFERING, 20172019 (USD MILLION)
TABLE 130 MARKET IN SPAIN FOR SERVICES, BY OFFERING, 20202026 (USD MILLION)
10.3.7 REST OF EUROPE
TABLE 131 MARKET IN REST OF EUROPE FOR SERVICES, BY OFFERING, 20172019 (USD MILLION)
TABLE 132 AI IN MANUFACTURING MARKET IN REST OF EUROPE FOR SERVICES, BY OFFERING, 20202026 (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 MARKET IN APAC, 20172026 (USD MILLION)
10.4.1 IMPACT OF COVID-19 ON MARKET IN APAC
FIGURE 38 APAC: SNAPSHOT OF MARKET
TABLE 134 MARKET IN APAC, BY COUNTRY, 20172019 (USD MILLION)
TABLE 135 MARKET IN APAC, BY COUNTRY, 20202026 (USD MILLION)
TABLE 136 MARKET IN APAC FOR HARDWARE, BY COUNTRY, 20172019 (USD MILLION)
TABLE 137 MARKET IN APAC FOR HARDWARE, BY COUNTRY, 20202026 (USD MILLION)
TABLE 138 MARKET IN APAC FOR SOFTWARE, BY COUNTRY, 20172019 (USD MILLION)
TABLE 139 MARKET IN APAC FOR SOFTWARE, BY COUNTRY, 20202026 (USD MILLION)
TABLE 140 AI IN MANUFACTURING MARKET IN APAC FOR SERVICES, BY COUNTRY, 20172019 (USD MILLION)
TABLE 141 POST-COVID-19 AI IN MANUFACTURING MARKET IN APAC FOR SERVICES, BY COUNTRY, 20202026 (USD MILLION)
TABLE 142 MARKET IN APAC, BY INDUSTRY, 20172019 (USD MILLION)
TABLE 143 MARKET IN APAC, BY INDUSTRY, 20202026 (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 MARKET IN CHINA, BY OFFERING, 20172019 (USD MILLION)
TABLE 145 MARKET IN CHINA, BY OFFERING, 20202026 (USD MILLION)
10.4.3 JAPAN
10.4.3.1 Federal initiatives and the presence of world-leading manufacturing companies are expected to boost AI in manufacturing market in Japan
TABLE 146 MARKET IN JAPAN, BY OFFERING, 20172019 (USD MILLION)
TABLE 147 MARKET IN JAPAN, BY OFFERING, 20202026 (USD MILLION)
10.4.4 SOUTH KOREA
10.4.4.1 Quality manufacturing services and the introduction of automation in manufacturing industries is driving market of AI in manufacturing in South Korea
TABLE 148 MARKET IN SOUTH KOREA, BY OFFERING, 20172019 (USD MILLION)
TABLE 149 MARKET IN SOUTH KOREA, BY OFFERING, 20202026 (USD MILLION)
10.4.5 INDIA
10.4.5.1 AI in manufacturing industry is still in its nascent stage in India
TABLE 150 MARKET IN INDIA, BY OFFERING, 20172019 (USD MILLION)
TABLE 151 MARKET IN INDIA, BY OFFERING, 20202026 (USD MILLION)
10.4.6 REST OF APAC
TABLE 152 MARKET IN REST OF APAC, BY OFFERING, 20172019 (USD MILLION)
TABLE 153 AI IN MANUFACTURING MARKET IN REST OF APAC, BY OFFERING, 20202026 (USD MILLION)
10.5 ROW
FIGURE 39 IMPACT OF COVID-19 ON MARKET IN ROW
TABLE 154 PRE- AND POST-COVID-19 ANALYSIS FOR MARKET IN ROW, 20172026 (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 MARKET IN ROW, BY REGION, 20172019 (USD MILLION)
TABLE 156 MARKET IN ROW, BY REGION, 20202026 (USD MILLION)
TABLE 157 MARKET IN ROW FOR HARDWARE, BY REGION, 20172019 (USD MILLION)
TABLE 158 MARKET IN ROW FOR HARDWARE, BY REGION, 20202026 (USD MILLION)
TABLE 159 MARKET IN ROW FOR SOFTWARE, BY REGION, 20172019 (USD MILLION)
TABLE 160 MARKET IN ROW FOR SOFTWARE, BY REGION, 20202026 (USD MILLION)
TABLE 161 MARKET IN ROW FOR SERVICES, BY REGION, 20172019 (USD MILLION)
TABLE 162 MARKET IN ROW FOR SERVICES, BY REGION, 20202026 (USD MILLION)
TABLE 163 AI IN MANUFACTURING MARKET IN ROW, BY INDUSTRY, 20172019 (USD MILLION)
TABLE 164 MARKET IN ROW, BY INDUSTRY, 20202026 (USD MILLION)
10.5.2 SOUTH AMERICA
10.5.2.1 South American region invests heavily in IT services
TABLE 165 MARKET IN SOUTH AMERICA, BY OFFERING, 20172019 (USD MILLION)
TABLE 166 MARKET IN SOUTH AMERICA, BY OFFERING, 20202026 (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, 20172019 (USD MILLION)
TABLE 168 MARKET IN MIDDLE EAST & AFRICA, BY OFFERING, 20202026 (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, 20152024 (USD MILLION)
TABLE 170 SMART MANUFACTURING PLATFORM MARKET FOR PERFORMANCE OPTIMIZATION, BY PROCESS INDUSTRY, 20152024 (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, 20152024 (USD MILLION)
TABLE 172 SMART MANUFACTURING PLATFORM MARKET FOR ASSET AND CONDITION MONITORING, BY PROCESS INDUSTRY, 20152024 (USD MILLION)
13.5.3 OTHERS
TABLE 173 SMART MANUFACTURING PLATFORM MARKET FOR OTHER APPLICATIONS, BY DISCRETE INDUSTRY, 20152024 (USD MILLION)
TABLE 174 SMART MANUFACTURING PLATFORM MARKET FOR OTHER APPLICATIONS, BY PROCESS INDUSTRY, 20152024 (USD MILLION)
13.6 SMART MANUFACTURING PLATFORM, BY INDUSTRY
13.6.1 PROCESS INDUSTRY
TABLE 175 SMART MANUFACTURING PLATFORM MARKET, BY PROCESS INDUSTRY, 20152024 (USD MILLION)
TABLE 176 SMART MANUFACTURING PLATFORM MARKET FOR PROCESS INDUSTRY, BY REGION, 20152024 (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, 20152024 (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, 20152024 (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, 20152024 (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, 20152024 (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, 20152024 (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, 20152024 (USD MILLION)
13.6.1.7 Others
TABLE 183 SMART MANUFACTURING PLATFORM MARKET FOR OTHER PROCESS INDUSTRIES, BY REGION, 20152024 (USD MILLION)
13.6.2 DISCRETE INDUSTRY
TABLE 184 SMART MANUFACTURING PLATFORM MARKET, BY DISCRETE INDUSTRY, 20152024 (USD MILLION)
TABLE 185 SMART MANUFACTURING PLATFORM MARKET FOR DISCRETE INDUSTRY, BY REGION, 20152024 (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, 20152024 (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, 20152024 (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, 20152024 (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, 20152024 (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, 20152024 (USD MILLION)
13.6.2.6 Others
TABLE 191 SMART MANUFACTURING PLATFORM MARKET FOR OTHER DISCRETE INDUSTRIES, BY REGION, 20152024 (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, 20152024 (USD MILLION)
TABLE 193 SMART MANUFACTURING PLATFORM MARKET IN NORTH AMERICA, BY PROCESS INDUSTRY, 20152024 (USD MILLION)
13.7.2 EUROPE
TABLE 194 SMART MANUFACTURING PLATFORM MARKET IN EUROPE, BY DISCRETE INDUSTRY, 20152024 (USD MILLION)
TABLE 195 SMART MANUFACTURING PLATFORM MARKET IN EUROPE, BY PROCESS INDUSTRY, 20152024 (USD MILLION)
13.7.3 APAC
TABLE 196 SMART MANUFACTURING PLATFORM MARKET IN APAC, BY DISCRETE INDUSTRY, 20152024 (USD MILLION)
TABLE 197 SMART MANUFACTURING PLATFORM MARKET IN APAC, BY PROCESS INDUSTRY, 20152024 (USD MILLION)
13.7.4 REST OF THE WORLD
TABLE 198 SMART MANUFACTURING PLATFORM MARKET IN ROW, BY DISCRETE INDUSTRY, 20152024 (USD MILLION)
TABLE 199 SMART MANUFACTURING PLATFORM MARKET IN ROW, BY PROCESS INDUSTRY, 20152024 (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, 20152023 (USD MILLION)
13.8.3.2 Computer vision
TABLE 201 AI ROBOTS MARKET FOR COMPUTER VISION TECHNOLOGY, BY APPLICATION, 20152023 (USD MILLION)
13.8.3.3 Context awareness
TABLE 202 AI ROBOTS MARKET FOR CONTEXT AWARENESS TECHNOLOGY, BY APPLICATION, 20152023 (USD MILLION)
13.8.3.4 Natural language processing
TABLE 203 AI ROBOTS MARKET FOR NLP TECHNOLOGY, BY APPLICATION, 20152023 (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, 20152023 (USD MILLION)
13.8.4.2 Law enforcement
TABLE 205 AI ROBOTS MARKET FOR LAW ENFORCEMENT, BY REGION, 20152023 (USD MILLION)
13.8.4.3 Personal assistance and caregiving
TABLE 206 AI ROBOTS MARKET FOR PERSONAL ASSISTANCE AND CAREGIVING, BY REGION, 20152023 (USD MILLION)
13.8.4.4 Public relations
TABLE 207 AI ROBOTS MARKET FOR PUBLIC RELATIONS, BY REGION, 20152023 (USD MILLION)
13.8.4.5 Education and entertainment
TABLE 208 AI ROBOTS MARKET FOR EDUCATION AND ENTERTAINMENT, BY REGION, 20152023 (USD MILLION)
13.8.4.6 Research and space exploration
TABLE 209 AI ROBOTS MARKET FOR RESEARCH AND SPACE EXPLORATION, BY REGION, 20152023 (USD MILLION)
13.8.4.7 Industrial
TABLE 210 AI ROBOTS MARKET FOR INDUSTRIAL, BY REGION, 20152023 (USD MILLION)
13.8.4.8 Agriculture
TABLE 211 AI ROBOTS MARKET FOR AGRICULTURE, BY REGION, 20152023 (USD MILLION)
13.8.4.9 Healthcare assistance
TABLE 212 AI ROBOTS MARKET FOR HEALTHCARE ASSISTANCE, BY REGION, 20152023 (USD MILLION)
13.8.4.10 Stock management
TABLE 213 AI ROBOTS MARKET FOR STOCK MANAGEMENT, BY REGION, 20152023 (USD MILLION)
13.8.4.11 Others
TABLE 214 AI ROBOTS MARKET FOR OTHER APPLICATIONS, BY REGION, 20152023 (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, 20172025 (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, 20172025 (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, 20172025 (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, 20172025 (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, 20172025 (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 regionsNorth 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.
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.
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
Data Triangulation
After arriving at the overall size of the AI in manufacturing marketusing the market size estimation processes as explained abovethe 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 regionsNorth 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)
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