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. 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. AI applications that help to improve your business in the competitive world. 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). We take a look at how AI is shaking the industry to its core. Changes or anomalies in the… Artificial intelligence becomes a long way in the past few years, connecting the gap between technical conversations and what are now practical possibilities, and nowhere are the possibilities more exciting than in the automotive industry. 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. Introducing You to AI in Automotive. 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. The … Vehicle manufacturers are also looking to Artificial Intelligence to help people avoid human errors that lead to accidents. 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. 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. AI technologies offer manufacturers the tools that would help them in a better predictive maintenance and machinery inspection process. While popular attention is focused on the use of AI in autonomous cars, the industry is also working on AI applications that extend far beyond – engineering, production, supply chain, customer experience, and mobility services among others. The study involved the estimation of the current size of the Artificial Inteeligence (AI) in manufacturing market. AI and machine learning also helps with keeping us safe and connected. 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. Honing his skills with an experience of more than 2 decades, He is currently involved in making the overall strategy of the company and actively involved in Global IT (Enterprise Mobility, Internet of Things, Artifical Intelligence, Cloud Services, Blockchain, Business Automation) Solutioning, Sales & Marketing. This will enable the companies to transfer the technology easily and accordingly develop the AI hardware. For example, cloud-based intelligence through Artificial Intelligence has the potential to enable drivers to place a take-out order at a restaurant based on their location or proposed driving the route to allow motorists to place their order well advancing of time. With artificial intelligence in cars, Bosch is making the mobility of the future safer and less stressful. But for those who are unsure what artificial intelligence in cars is and how AI is used in cars, let us answer your questions. But one manufacturer which is already seeing exciting changes from Artificial Intelligence in the automotive industry. It will soon become create a significant impact on how cars are manufactured. Ultimately, this could develop many automotive-driven productions, from taxis and sharing vehicles to transportation businesses and public transport. 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. Internal Tech@CONTI 2018 Continental’s AI contribution 2 1 Artificial intelligence in Serbia 2 Interior Solutions 3 ADAS Solutions 4 Self Driving Cars 5 Smart cities of the future . The growth in the adoption of AI solutions is completely dependent on the growth of manufacturing units. 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. The a utomotive industry is one of the essentials of human lives and most of us can barely imagine a day without riding your own vehicle or hopping on some kind of public transport. In this report, the AI in manufacturing market has been segmented into the following categories: Which are the major companies in the market? Robo Advisor in 2020: What are its Algorithms and How Do They Work? Artificial intelligence is one of the new keys to success in the automotive industry — from enabling autonomous vehicles to transforming research, design and manufacturing processes. What are the drivers for the AI in manufacturing market? - 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. Artificial intelligence (AI) holds the key to a new future of value for the automotive industry. Artificial Intelligence (AI) is redefining the automotive industry, especially in the development of innovative hardware and software stack for level 5 autonomy and intelligent ADAS systems. Offering, technology, application, industry and region. This could also help in improving the machinery life by 20% and machinery inspection cost will also reduce and annual maintenance will be reduced. In addition, AI can play a crucial role in automating several stages of manufacturing and limit human involvement. AI & Robotics in Healthcare: Taking Healthcare Solutions to Next Dimension. Read … By working as an assistant to a human driver, these artificial intelligence advancements benefit everyone on the road. Any mismanagement could add to the costs. This implies the potential for brand new partnerships and an extension of current partner networks, which may lead to exciting business opportunities. 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. Also, the increasing adoption AI based robots in the APAC region is driving the market. The car manufacturing process is a multifaceted business in itself, so it follows that there would be numerous areas where one can find applications for AI technology. This e-book will help you understand the top use cases for AI in the automotive industry and how to build an effective data pipeline to address key challenges for every use case. 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. Artificial intelligence becomes a long way in the past few years, connecting the gap between technical conversations and what are now practical possibilities, and nowhere are the possibilities more exciting than in the automotive industry. - 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. 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. Cloud computing and cloud-based intelligence through Artificial Intelligence occupy the capability to integrate many of the features of a consumer’s experience with their vehicle. [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 concept of artificial intelligence, or AI, is often discussed, but can be slightly more difficult to define. The increasing demand for reducing the operational costs and machine downtime is driving the growth of predictive maintenance and machinery inspection application in industries. - 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. Extensive primary research was conducted after understanding and analyzing the AI in manufacturing market through secondary research. This could, for example, be learning lessons, making decisions, or recognising and interpreting speech. Artificial intelligence has been a hot topic in the automotive industry for years, and we have seen rapid advances in things like autonomous driving. NVIDIA, Intel, IBM, Siemens and General Electric (GE) Company are some of the major players in AI in manufacturing market. - 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. Artificial Intelligence (AI) is being used to support and even change the role of the human workforce in the physical workplace. Article (PDF-467KB) Over the next two decades, artificial intelligence (AI) will enable autonomous vehicles to become mainstream. 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. Automotive Artificial Intelligence (AAI) GmbH Founded 2017 in Berlin by experts coming directly from within the automotive industry, Automotive Artificial Intelligence (AAI) GmbH is pursuing the mission to develop tools and services for accelerating highly automated driving development. Many factors have contributed to the disruptions in manufacturing industries. Who will be your Top Customer; what will make them switch? Big Data, advanced analytics, and other top technological programs are already growing together with Artificial Intelligence to help automotive manufacturing industries produce vehicles that essentially act as a control center for all information driving-related. Additionally, AI service providers are facing challenges with regard to deploying/servicing their solutions at their customers’ sites. Industrial Artificial Intelligence IIC Journal of Innovation - 5 - The Industrial Analytics Task Group in the Industrial Internet Consortium (IIC) was renamed in 2018 to the Industrial Artificial Intelligence (IAI) Task Group to reflect member interests and to provide best practices for applying machine learning and This article defines the terms "data science" (also referred to as "data analytics") and "machine learning" and how they are related. These countries are considered as some of the important manufacturing hubs worldwide. Because of that, … How Virtual Reality Applications Will Impact Business? By the year 2020, manufacturing analysts estimate over 250 million vehicles are connected to the technology. In any driving situation, the onboard AI computer will be able to access the experience from millions of other situations, allowing it to make the right decision in a split second. What are their major strategies to strengthen their market presence? However, manufacturers are reluctant to adopt new technologies or AI-based solutions in their costly machines or equipment. 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 this article I examine the global artificial intelligence industry and in this context consider the aspects of politics, data, economy, start-ups, financing, research and infrastructure. 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. Artificial intelligence surely will bring essentially change the automotive industry, Artificial Intelligence will increase the efficiency, safety, and productivity spell out an eventuality that may totally defy our present perception of how the industry works. There are some companies who are working on fully autonomous and a lot of manufacturers are shifting in that way. When it comes AI for automotive, we think about driverless cars and other autonomous vehicles. Get more details on this report - Request Free Sample PDF Artificial intelligence (AI) in automotive industry is expected to cause a profound disruption by streamlining production capabilities and augmenting business growth. What will this mean for automotive production companies? Artificial Intelligence has an immense influence on various industrial or manufacturing sectors, together with aviation, manufacturing, technology, and others. Artificial Intelligence in Manufacturing Market size Research Report, identifies new revenue opportunity in artificial intelligence in manufacturing driver industry. As a result, manufacturing efficiency improves, which further helps in business growth. Robotics and Artificial Intelligence processes could eventually replace the need for low-skill workers, which of course has the potential to negatively impact the labor force in the short term. Global top 2000 strategist rely on us for their growth strategies. The applications of Artificial Intelligence in the automotive industry is not limited to autonomous driving. Obtaining real knowledge about how cars are used can also optimize dealership offerings When it comes to driving, cars with artificial intelligence offer two levels of … Without a doubt, artificial intelligence holds the key to future growth in almost every sector including manufacturing, healthcare and education. This was followed by the validation of these findings, assumptions, and sizing with the industry experts identified across the value chain through primary research. Even a minor error can result in system failure or can adversely affect the desired result. How Chatbots Help Businesses Improve Customer Service? Industrial Internet of Things (IIoT) plays a key role in the adoption of AI-based technology in the manufacturing sector. Which industries are expected to drive the growth of the market in the next 5 years? 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 •Simulation of human intelligence in machines •Designed to address a specific problem •Deep blue, Alpha Go, Jeopardy, etc. Which AI in manufacturing application is dominating the global market? Focusing on top-line investments and expenditures being made in the ecosystems of various end-user industries. Furthermore, many manufacturers are doubtful about the capabilities of AI-based solutions in terms of the accuracy of the maintenance and inspection processes. These instructions designed by an AI system learn human behavior through deep learning, context awareness, and natural language processing (NLP). 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. The ongoing COVID-19 pandemic has caused disruptions in economies. Ideas like vehicle-to-vehicle technology, where connected cars will have the ability to communicate with one another, are being developed; this technology could reduce accidents by connecting vehicles, alerting the network when something goes wrong, and allowing drivers or even the vehicles to take preventive measures. - 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. 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. 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. The common thread through all of these applications is the increased safety of everyone on the road; this is a trend in Artificial Intelligence development, and will likely be the focus for the foreseeable future. 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. It’s time to change how the automotive industry sells products, services, parts, and accessories, including the re-purchasing of new cars based on driver behavior. Evolution of Augmented Reality In The Past, Present and The Future. 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. This, in turn, is expected to drive the growth of the AI in manufacturing market in APAC. Exhaustive secondary research was conducted to collect information on the market, its peer markets, and its parent market. ARTIFICIAL INTELLIGENCE The manufacturing sector is evolving into a new state, fueled by massive digital business transformation efforts. 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. He holds Business Management Degree and Computer Engineering degree from Gujarat University. The data was triangulated by studying various factors and trends from the demand and supply sides across different applications. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience. At the same time, AI will transform most aspects of the auto-manufacturing process, from research and design to project management and business support functions. The predictive maintenance and machinery inspection application expected to hold the largest share of the AI in manufacturing market from 2020-2026. 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. APAC accounted for the largest share of the AI in manufacturing market. Furthermore, the absence of professional standards and certifications in AI/ML technologies is restraining the growth of AI. Download PDF Abstract: Data science and machine learning are the key technologies when it comes to the processes and products with automatic learning and optimization to be used in the automotive industry of the future. - 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.

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