{"product_id":"artificial-intelligence-in-manufacturing-market-by-component-technology-ml-nlp-computer-vision-application-predictive-maintenance-quality-management-supply-chain-production-planning-industry-vertical-geography-global-forecast-to-2028","title":"Artificial Intelligence in Manufacturing Market By Component, Technology (ML, NLP, Computer Vision), Application (Predictive Maintenance Quality Management, Supply Chain, Production Planning), Industry Vertical, \u0026 Geography - Global Forecast to 2028","description":"\u003cp\u003eArtificial Intelligence in Manufacturing Market By Component, Technology (ML, NLP, Computer Vision), Application (Predictive Maintenance Quality Management, Supply Chain, Production Planning), Industry Vertical, \u0026amp; Region—Global Forecast To 2028\u003c\/p\u003e\n\n\u003cp\u003eThe research report titled “Artificial Intelligence in Manufacturing Market By Component, Technology (ML, NLP, Computer Vision), Application (Predictive Maintenance Quality Management, Supply Chain, Production Planning), Industry Vertical, \u0026amp; Region—Global Forecast To 2028” provides an in-depth analysis of artificial intelligence (AI) in manufacturing market in five major geographies and emphasizes on the current market trends, market sizes, market shares, recent developments, and forecasts till 2027. The artificial intelligence in manufacturing market is expected to reach $13.96 billion by 2028 and grow at a CAGR of 38.6% during the forecast period of 2021–2028.\u003c\/p\u003e\n\n\u003cp\u003eThe growth of this market is mainly attributed to the advent of Industrial 4.0, the increasing volume of large complex data, and the rising adoption of industrial IoT. Additionally, increasing government initiatives towards digitization, the rising necessity to enhance production outcomes, advance process effectiveness, reduce costs, and downtime in production lines are factors expected to drive the growth of the AI in manufacturing market in the coming years. Also, the growing use of computer vision in manufacturing, the rising adoption of 5G technology, and the increasing demand for factory automation are prominent technology trends in this market\u003c\/p\u003e\n\n\u003cp\u003eThis study offers a comprehensive analysis of the AI in manufacturing market based on component (hardware [processors, memory solutions, networking solutions], software [AI platforms, AI solutions], services [deployment \u0026amp; integration, support \u0026amp; maintenance]), by technology (machine learning, natural language processing, computer vision, speech \u0026amp; voice recognition, context-aware computing), by application (predictive maintenance \u0026amp; machinery inspection, quality management, supply chain optimization, industrial robot, production planning, material handling, field services, safety planning, cybersecurity, energy management), by industry vertical (automotive, semiconductors \u0026amp; electronics, heavy metals \u0026amp; machine manufacturing, energy \u0026amp; power, aerospace and defense, medical devices, pharmaceuticals, and FMCG), and regions. The study also evaluates industry competitors and analyses the market at the country level.\u003c\/p\u003e\n\n\u003cp\u003eBased on component, the hardware segment is estimated to account for the largest share of the AI in manufacturing market in 2021. The large market share of this segment is primarily driven by the increasing demand for robust and cost-effective devices, including servers, storage, and networking devices.\u003c\/p\u003e\n\n\u003cp\u003eHowever, the software segment is slated to record the fastest CAGR during the forecast period due to the high adoption rate of cloud-based technologies, the rising need for innovative technologies for predicting \u0026amp; preventing errors, and the increasing demand for AI platforms to streamline processes and operations.\u003c\/p\u003e\n\n\u003cp\u003eBased on technology, the machine learning segment is estimated to account for the largest share of the AI in manufacturing market in 2021. The large market share of this segment is primarily driven by the increasing need for identifying, monitoring, and analyzing the critical system variables during the manufacturing process and the increasing demand for predictive maintenance \u0026amp; machinery inspection.\u003c\/p\u003e\n\n\u003cp\u003eHowever, the natural language processing (NLP) segment is slated to record the fastest CAGR during the forecast period due to the growing demand for cloud-based NLP solutions to reduce overall costs, facilitate smart environments and enhance operational scalabilities.\u003c\/p\u003e\n\n\u003cp\u003eBased on application, the predictive maintenance \u0026amp; machinery inspection segment is estimated to account for the largest share and witness the fastest CAGR of the AI in manufacturing market in 2021. The large market share and the high growth rate of this segment are attributed to the growing demand to reduce costs for operating heavy equipment, increasing adoption of advanced technologies including IoT devices in manufacturing plants, rising demand for equipment uptime \u0026amp; availability, growing necessity to reduce maintenance planning time, rising need to improve production capacity and increasing need to report manufacturing issues in real-time.\u003c\/p\u003e\n\n\u003cp\u003eBased on industry vertical, the automotive industry segment is estimated to account for the largest share of the AI in manufacturing market in 2021. The large market share of this segment is primarily driven by the growing adoption of advanced AI automotive solutions for fault detection \u0026amp; isolation, quality management, smart manufacturing, production monitoring, and the increasing need for predictive maintenance \u0026amp; machinery inspection solutions.\u003c\/p\u003e\n\n\u003cp\u003eHowever, the medical devices manufacturing segment is slated to record the fastest CAGR during the forecast period due to the outbreak of the COVID-19 pandemic, rising focus on preventive medical equipment maintenance to reduce unplanned downtime, enhance production quality control and improve operational productivity.\u003c\/p\u003e\n\n\u003cp\u003eBased on geography, the AI in manufacturing market is segmented into North America, Europe, Asia-Pacific, Latin America, and Middle East \u0026amp; Africa. Asia-Pacific is estimated to account for the largest share and witness the highest CAGR of the AI in manufacturing market in 2021. The region’s large market share and high growth rate are due to the increasing investments by technology leaders towards digitalization, the strong presence of automobile and electronics \u0026amp; semiconductor companies in the region, and their focus on developing advanced solutions to optimize manufacturing operations and processes in the region.\u003c\/p\u003e\n\n\u003cp\u003eThe key players operating in the AI in manufacturing market are Alphabet, Inc. (U.S.), IBM Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), Oracle Corporation (U.S.), Amazon Web Services, Inc. (U.S.), Siemens AG (Germany), General Electric Company (U.S.), SAP SE (Germany), Robert Bosch GmbH (Germany), Cisco Systems, Inc. (U.S.), Rockwell Automation, Inc. (U.S.), Advanced Micro Devices, Inc. (U.S.), and Sight Machine Inc. (U.S.).\u003c\/p\u003e\n\n\u003cp\u003eKey questions answered in the report:\u003c\/p\u003e\n\n\u003cp\u003eWhich are the high-growth market segments in terms of the component type, technology, application, industry vertical, and countries?\u003cbr\u003e\nWhat is the historical market for artificial intelligence in manufacturing across the globe?\u003cbr\u003e\nWhat are the market forecasts and estimates from the period of 2021–2028?\u003cbr\u003e\nWhat are the major drivers, restraints, opportunities, and trends in the artificial intelligence in manufacturing market?\u003cbr\u003e\nWho are the major players in the artificial intelligence in manufacturing market, and what are their market shares?\u003cbr\u003e\nHow is the competitive landscape?\u003cbr\u003e\nWhat are the recent developments in the artificial intelligence in manufacturing market?\u003cbr\u003e\nWhat are the different strategies adopted by the major players operating in the artificial intelligence in manufacturing market?\u003cbr\u003e\nWhat are the geographical trends and high-growth countries?\u003cbr\u003e\nWho are the local emerging players in the artificial intelligence in manufacturing market and how do they compete with the other players?\u003c\/p\u003e\n\n\u003cp\u003eScope of the Report:\u003c\/p\u003e\n\n\u003cp\u003eArtificial Intelligence in Manufacturing Market, by Component\u003c\/p\u003e\n\n\u003cp\u003eHardware\u003cbr\u003e\nProcessors\u003cbr\u003e\nMemory Solutions\u003cbr\u003e\nNetworking Solutions\u003cbr\u003e\nSoftware\u003cbr\u003e\nAI Platforms\u003cbr\u003e\nAI Solutions\u003cbr\u003e\nServices\u003cbr\u003e\nDeployment \u0026amp; Integration\u003cbr\u003e\nSupport \u0026amp; Maintenance\u003c\/p\u003e\n\n\u003cp\u003eArtificial Intelligence in Manufacturing Market Market, by Technology\u003c\/p\u003e\n\n\u003cp\u003eMachine Learning\u003cbr\u003e\nNatural Language Processing\u003cbr\u003e\nComputer Vision\u003cbr\u003e\nSpeech and Voice Recognition\u003cbr\u003e\nContext-Aware Computing\u003c\/p\u003e\n\n\u003cp\u003eArtificial Intelligence in Manufacturing Market Market, by Application\u003c\/p\u003e\n\n\u003cp\u003ePredictive Maintenance \u0026amp; Machinery Inspection\u003cbr\u003e\nQuality Management\u003cbr\u003e\nSupply Chain Optimization\u003cbr\u003e\nIndustrial Robot \/ Robotics \u0026amp; Factory Automation\u003cbr\u003e\nProduction Planning\u003cbr\u003e\nMaterial Handling\u003cbr\u003e\nField Services\u003cbr\u003e\nSafety Planning\u003cbr\u003e\nCybersecurity\u003cbr\u003e\nEnergy management\u003c\/p\u003e\n\n\u003cp\u003eArtificial Intelligence in Manufacturing Market Market, by Industry Vertical\u003c\/p\u003e\n\n\u003cp\u003eAutomotive\u003cbr\u003e\nSemiconductors \u0026amp; Electronics\u003cbr\u003e\nHeavy Metals \u0026amp; Machine Manufacturing\u003cbr\u003e\nEnergy \u0026amp; Power\u003cbr\u003e\nAerospace \u0026amp; Defense\u003cbr\u003e\nMedical Devices\u003cbr\u003e\nPharmaceuticals\u003cbr\u003e\nFMCG\u003c\/p\u003e\n\n\u003cp\u003eArtificial Intelligence in Manufacturing Market Market, by Geography\u003c\/p\u003e\n\n\u003cp\u003eNorth America\u003cbr\u003e\nU.S.\u003cbr\u003e\nCanada\u003cbr\u003e\nEurope\u003cbr\u003e\nGermany\u003cbr\u003e\nU.K.\u003cbr\u003e\nFrance\u003cbr\u003e\nItaly\u003cbr\u003e\nSpain\u003cbr\u003e\nNetherlands\u003cbr\u003e\nRussia\u003cbr\u003e\nIreland\u003cbr\u003e\nTurkey\u003cbr\u003e\nRest of Europe\u003cbr\u003e\nAsia-Pacific\u003cbr\u003e\nJapan\u003cbr\u003e\nChina\u003cbr\u003e\nIndia\u003cbr\u003e\nSouth Korea\u003cbr\u003e\nAustralia \u0026amp; New Zealand\u003cbr\u003e\nThailand\u003cbr\u003e\nIndonesia\u003cbr\u003e\nTaiwan\u003cbr\u003e\nVietnam\u003cbr\u003e\nRest of Asia-Pacific\u003cbr\u003e\nLatin America\u003cbr\u003e\nMexico\u003cbr\u003e\nBrazil\u003cbr\u003e\nRest of Latin America\u003cbr\u003e\nMiddle East \u0026amp; Africa\u003c\/p\u003e","brand":"Technology \u0026 Media","offers":[{"title":"November, 2021 \/ 295 Pages \/ MCW16285061","offer_id":47714867773746,"sku":null,"price":5010.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.hardmanwell.com\/products\/artificial-intelligence-in-manufacturing-market-by-component-technology-ml-nlp-computer-vision-application-predictive-maintenance-quality-management-supply-chain-production-planning-industry-vertical-geography-global-forecast-to-2028","provider":"HARDMAN AND WELL MANAGEMENT CONSULTANCIES L.L.C","version":"1.0","type":"link"}