Global Artificial Intelligence (AI) in Manufacturing Market, By Offering (Hardware, Software and Services), Technology (Machine Learning, Natural Language Processing, Context-aware Computing and Computer Vision), Application (Predictive Maintenance and Machinery Inspection, Material Movement, Production Planning, Field Services, Quality Control, Cybersecurity, Industrial Robots and Reclaimation), Industry (Automobile, Energy and Power, Pharmaceuticals, Heavy Metals and Machine Manufacturing, Seiconductors and Electronics, Food & Beverages and Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of the Middle East and Africa) Industry Trends and Forecast to 2029
Market Analysis and Insights : Global Artificial Intelligence (AI) in Manufacturing Market
The artificial intelligence (AI) in manufacturing market is expected to witness market growth at a rate of 17.20% in the forecast period of 2022 to 2029 and is expected to reach USD 5,325.1 million by 2029. Data Bridge Market Research report on artificial intelligence (AI) in manufacturing market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecast period while providing their impacts on the market's growth. The rise in the application of AI for intelligent business process is escalating the growth of artificial intelligence (AI) in manufacturing market.
Artificial intelligence (AI) is known to be one of the most developed technologies in the field of computer science. It is related to the human intelligence through similar characteristics including better decision making, language understanding, and so forth.
Major factors that are expected to boost the growth of the artificial intelligence (AI) in manufacturing market in the forecast period are the rise in the large and complex dataset and developing industrial IoT and automation. Furthermore, the enhancing computing power is further estimated to cushion the growth of the artificial intelligence (AI) in manufacturing market. Moreover, the growing venture capital investments is further estimated to cushion the growth of the artificial intelligence (AI) in manufacturing market. On the other hand, the disinclination amongst the manufacturers to adopt AI-based technologies is further projected to impede the growth of the artificial intelligence (AI) in manufacturing market in the timeline period.
In addition, the development operational efficiency of manufacturing plants and growing adoption of automation technologies to curb effects of COVID-19 will further provide potential opportunities for the growth of the artificial intelligence (AI) in manufacturing market in the coming years. However, the restricted amount of the skilled workforce and concerns related to the data privacy might further challenge the growth of the artificial intelligence (AI) in manufacturing market in the near future….
This artificial intelligence (AI) in manufacturing market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, the impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the artificial intelligence (AI) in manufacturing market, contact Data Bridge Market Research for an Analyst Brief. Our team will help you take an informed market decision to achieve market growth.
Global Artificial Intelligence (AI) in Manufacturing Market Scope and Market Size
The artificial intelligence (AI) in manufacturing market is segmented on the basis of offering, technology, applications and industry. The growth among segments helps you analyze niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
- On the basis of offering, the artificial intelligence (AI) in manufacturing market has been segmented into hardware, software and services.
- On the basis of technology, the artificial intelligence (AI) in manufacturing market has been segmented into machine learning, natural language processing, context-aware computing and computer vision.
- On the basis of application, the artificial intelligence (AI) in manufacturing market has been segmented into predictive maintenance and machinery inspection, material movement, production planning, field services, quality control, cybersecurity, industrial robots and reclaimation.
- On the basis of industry, the artificial intelligence (AI) in manufacturing market has been segmented into automobile, energy and power, pharmaceuticals, heavy metals and machine manufacturing, semiconductors and electronics, food & beverages and others.
Artificial Intelligence (AI) in Manufacturing Market Country Level Analysis
The artificial intelligence (AI) in manufacturing market is analyzed, and market size, volume information is provided by country, offering, technology, applications and industry as referenced above.
The countries covered in the artificial intelligence (AI) in manufacturing market report are the U.S., Canada, and Mexico in North America, Brazil, Argentina, and the rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of the Middle East and Africa (MEA).
Asia-Pacific dominates the artificial intelligence (AI) in manufacturing market due to the government policies and regulations. Furthermore, the technological developments in AI research and development with training workers to apply AI technologies in the work area will further boost the growth of the artificial intelligence (AI) in manufacturing market in the region during the forecast period. Europe is projected to observe significant amount of growth in the artificial intelligence (AI) in manufacturing market due to the occurrence of major key players in the region in the coming years.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impact the current and future trends of the market. Data points like downstream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, the impact of domestic tariffs, and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Artificial Intelligence (AI) in Manufacturing Market Share Analysis
The artificial intelligence (AI) in manufacturing market competitive landscape provides details by a competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, regional presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to the artificial intelligence (AI) in manufacturing market.
Some of the major players operating in the artificial intelligence (AI) in manufacturing market are NVIDIA Corporation, IBM, Alphabet Inc., Microsoft Corporation, Intel Corporation, Siemens, General Electric Company, General Vision, inc., Progress Software Corporation, Micron Technology, Inc., Mitsubishi Electric Corporation, Sight Machine, Cisco Systems Inc., SAP SE, Rockwell Automation, Inc., AIBrain Inc., Vicarious, Oracle, Amazon Web Services, Inc., SparkCognition., Rethink Robotics, UBTECH Robotics, Inc., Aquant, Bright Machines, Inc., and Flutura among others.
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Research Methodology
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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