Artificial Intelligence (AI) In Industrial Machinery Global Market Report 2023 – By Component (Hardware, Software, Services), By Technology (Machine Learning, Computer Vision, Context Awareness, Natural Language Processing), By Application (Predictive Maintenance, Quality Control, Process Optimization, Supply Chain Optimization, Intelligent Robotics, Autonomous Vehicles And Guided Systems, Energy Management, Human-Machine Interfaces, Other Applications), By End-Use (Commercial, Agriculture, Construction, Packaging, Food Processing, Mining, Semiconductor Manufacturing) – Market Size, Trends, And Global Forecast 2023-2032

Artificial intelligence (AI) is a simulation of the human intelligence in machines that are programmed to think and behave like humans. AI helps to complete the job quickly and with relatively few errors. The main technology types of artificial intelligence are machine learning, natural language processing, context-aware computing, computer vision and others. Machine learning is an artificial intelligence (AI) program that allows systems to automatically learn and improve from experience without being explicitly programmed. The AI technology is offered through hardware, software and services that are used by healthcare, automotive, agriculture, retail, marketing, telecommunication, defense, aerospace, media and entertainment and other end use industries. The global artificial intelligence market is segmented – 1) By Offering: Hardware, Software, Services 2) By Technology: Machine learning, Natural language processing, Context-Aware Computing, Computer Vision, Other Technologies (Image processing, Speech recognition) 3) By End-user Industry: Healthcare, Automotive, Agriculture, Retail, Marketing, Telecommunication, Defense, Aerospace, Media & Entertainment, Other End-User Industries The global artificial intelligence market size will grow from $56.89 billion in 2022 to $73.38 billion in 2023 at a compound annual growth rate (CAGR) of 29.0%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The market share of the global artificial intelligence is expected to grow to $167.29 billion in 2027 at a CAGR of 22.9%. Growing investment in AI technologies contributed to the growth of the Artificial intelligence market. Many companies are investing in AI technologies or AI start-ups to increase the efficiency of AI software as AI enables them to make more informed decisions and achieve better results. For instance, Microsoft has invested around $1 billion in OpenAI a San Francisco company. The two companies had formed a partnership to develop AI supercomputing technologies on Microsoft's cloud Azure. AI is useful across multiple sectors. For instance, AI can lead to breakthroughs in R&D and diagnostics in healthcare sector, it can help make better forecasts in finance, and in manufacturing, it can increase production controls and efficiency. Therefore, rise in investment in AI technologies due to its advantages in every sector is driving the market for the Artificial Intelligence market. Major players in the artificial intelligence market are Google, IBM, Baidu, Microsoft, Apple Inc., Ipsoft, NVIDIA corporation, Samsung Electronics Co.Ltd., MicroStrategy Inc., Qlik Technologies Inc., Verint Systems Inc. (Next IT Corp), Qualcomm Technologies, Micron Technology, Xilinx Inc., Intel corporation, ARM Holding, Advanced Micro Devices Inc., Huawei Technologies Co.Ltd., SAP, Intel, Salesforce, Brighterion, KITT.AI, IFlyTek, Megvii Technology, Albert Technologies, H2O.ai, Brainasoft and Yseop. The limited number of AI Experts is a major challenge in the Artificial intelligence market. To develop the AI software the company needs AI experts, practitioners, and researchers. According to Tencent, a Chinese multinational technology conglomerate holding company, there are 300k AI researchers and practitioners worldwide, but the market demand is around millions of roles. The limited number of AI experts may harm the market. Automated machine learning is being implemented by many companies. It is quite complicated to apply traditional machine learning models for real-world business problems. The better solution is to use Automated machine learning which allows non-machine learning (ML) experts to use machine learning algorithms without being machine learning wizards. For instance, tools like Google cloud AutoML are used to train custom-made and high-quality ML models with a minimum ML expertise. In January 2020, Apple acquired a Seattle-based start-up xnor.ai for a deal amount of $200 million. The acquisition is expected to strengthen in delivering AI capabilities. Xnor.ai is a US-based designer and developer of hardware and software solutions. Asia-Pacific was the largest region in the artificial intelligence market in 2022. North America was the second largest region in the global artificial intelligence market share. The regions covered in the global artificial intelligence market analysis report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the artificial intelligence market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA. The artificial intelligence market includes revenues earned by entities by offering artificial intelligence software. Artificial Intelligence (AI) is sometimes referred to as machine intelligence. Artificial intelligence is a wide-ranging branch of computer science-related to building smart machines that can perform tasks that require human intelligence. Values in this market are factory gate values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. Only goods and services traded between entities or sold to end consumers are included. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The artificial intelligence market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence market statistics, including artificial intelligence industry global market size, regional shares, competitors with an artificial intelligence market share, detailed artificial intelligence market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence industry. This artificial intelligence market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Artificial intelligence is a wide-ranging branch of computer science-related with building smart machines that can perform tasks that require human intelligence. The main technology types of artificial intelligence services are machine learning, computer vision, natural language processing (NLP), and others. Machine learning is an artificial intelligence (AI) program that allows systems to automatically learn and improve from experience without being explicitly programmed. The various software tools used include web-based and cloud application programming interface, processing and modeler, archiving, and data storage that are used to provide managed services and professional services. The services are used by different end users such as banking, financial, and insurance (BFSI), IT and telecom, retail, manufacturing, public sector, energy and utility, and healthcare, among others. The global artificial intelligence services market is segmented – 1) By Technology: Machine Learning, Computer Vision, Natural Language Processing (NLP), Other Technology 2) By Services Type: Managed Services, Professional Services 3) By Software Tools: Web-based and Cloud Application Programming Interface, Processing and Modeler, Archiving and Data Storage 4) By Application Type: Fraud Detection, Data Analytics & Visualization, Customer Service and Management, Rsik Management, Compliance & Security 5) By End-User: Banking, Financial, and Insurance (BFSI), IT & Telecom, Retail, Manufacturing, Public Sector, Energy & Utility, Healthcare, Other End-Users The global artificial intelligence services market size will grow from $12.39 billion in 2022 to $18.34 billion in 2023 at a compound annual growth rate (CAGR) of 48.0%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The market size of the global artificial intelligence services is expected to grow to $55.38 billion in 2027 at a CAGR of 31.8%. The rise in the adoption of cloud-based solutions is a key factor driving the growth of the artificial intelligence services market. Artificial intelligence (AI) as a service lets businesses experiment with AI for different activities without a high initial investment. Experimentation enables many cloud computing platforms to check different machine learning algorithms and helps streamline how data is analyzed and managed. Businesses are deeply interested in cloud-based machine learning, which lets them experiment through their services and help their clients make informed decisions based on the data. For instance, in March 2020, Google announced the beta launch of Cloud AI Platform Pipelines, which provides its customers with repeatable machine learning pipelines that can be installed easily and used for machine learning workflows securely. The integration of AI applications into its cloud draws more customers, thus enhancing market growth over the forecast period. Therefore, the rise in the adoption of cloud-based solutions is expected to drive the growth of the artificial intelligence services market. Major players in the artificial intelligence services market are Intel Corp., International Business Machines Corp., Microsoft Corp., SAP SE, SAS Institute Inc., Amazon.com Inc., Salesforce, Google LLC., Oracle Corporation, Fair Isaac Corporation, Alphabet Inc., Apple Inc., CognitiveScale, Inc., Baidu, Inc., BigML, H2O.ai and Baidu Inc. The risks associated with data breaches and hacks are hampering the growth of the artificial intelligence services market. The World Economic Forum (WEF) has cautioned that new technologies such as the Internet of Things, artificial intelligence, and quantum computing can turn around human lives, but may also make society more vulnerable to cyber-attacks. It was stated that attacks occur on average once every 39 seconds and a single breach could cost as much as $150 million in 2020. Although companies and organizations are aware of these risks, breach activity still takes around six months to detect, and the long delays between original network breach and security responses allow hackers to take advantage of significant quantities of data. According to the State of the breach June 2020, about 16 billion records including credit card numbers, phone numbers, home addresses, and other sensitive information were exposed through data breaches since 2019. Therefore, the risks associated with data breaches and hacking hampers the growth of the artificial intelligence services market. The use of artificial intelligence as a service for human interaction with machines using natural language processing (NLP) is a key trend shaping the artificial intelligence services market. Natural language processing (NLP) is a type of artificial intelligence that explains how human language and computers interact. Machine translation is an enormous technology for NLP that enables us to overcome the challenges to contact people from all over the world and to understand software manuals and catalogs written in a foreign language. For instance, the Livox app, a customizable application in 25 languages helps the disabled to communicate. In January 2021, ServiceNow, a US-based provider of information technology management software for companies, acquired Element AI for $230 million. The acquisition of Element AI would significantly strengthen ServiceNow's commitment to developing the most intelligent workflow platform in the world, allowing staff members to work more quickly and intelligently, simplify business choices, and reach new heights of productivity. Element Ai is a Canada-based artificial intelligence (AI) company. Asia-Pacific was the largest region in the artificial intelligence services market in 2022. North America was the second largest region in the global artificial intelligence services market share. The regions covered in the global artificial intelligence services market analysis report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the artificial intelligence services market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA. The artificial intelligence services market includes revenues earned by entities by providing AI services that are used in telecommunications, government, retail, defense and healthcare. Companies in the artificial intelligence market provide outsourced services to cater to business requirements. AI as a service enables individuals and businesses to use AI for different purposes, without significant initial investment and with lower risk. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The artificial intelligence (AI) services market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) services market statistics, including artificial intelligence (AI) services industry global market size, regional shares, competitors with an artificial intelligence (AI) services market share, detailed artificial intelligence (AI) services market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) services industry. This artificial intelligence (AI) services market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

AI in marketing refers to obtaining and evaluating consumer data for making marketing decisions on behalf of an algorithm or machine learning engine that helps in making automated judgments that are based on data gathering, analysis, and further observations of the data from the audience or economic patterns that may influence marketing efforts. The main types of technologies used in artificial intelligence in marketing are machine learning, context-aware computing, natural language processing and computer vision. The machine learning solutions in marketing refers to a computer programme can learn and adapt to new data without human involvement. Machine learning is a type of artificial intelligence (AI) that helps in maintaining built-in algorithms of a computer's up to date. These technologies are offered through hardware, software and services and deployed through cloud or on-premises. Artificial intelligence in marketing have applications in social media advertising, search advertising, dynamic pricing, virtual assistant, content curation, sales and marketing automation, analytics platform, others. The global artificial intelligence in marketing market is segmented - 1) By Technology: Machine Learning, Context-Aware Computing, Natural Language Processing, Computer Vision 2) By Offering: Hardware, Software, Services 3) By Deployment Type: Cloud, On Premises 4) By Application: Social Media Advertising, Search Advertising, Dynamic Pricing, Virtual Assistant, Content Curation, Sales And Marketing Automation, Analytics Platform, Other Applications The global artificial intelligence in marketing market size will grow from $17.48 billion in 2022 to $22.64 billion in 2023 at a compound annual growth rate (CAGR) of 29.5%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The market size of the artificial intelligence in marketing is expected to grow to $64.31 billion in 2027 at a CAGR of 29.8%. The increasing adoption of virtual assistants is expected to drive the artificial intelligence in marketing market. Virtual assistants are services over the internet or dedicated network with delivery on demand. Due to the pandemic and lockdowns, small and medium-scale enterprises are increasingly focusing on streamlining their business models by adopting virtual assistants. For instance, in April 2022, ThriveMyWay publisehd an article which states that chatbot ecommerce transactions is projected to hit $112 billion by 2023. Conversational technologies such as virtual agents and chatbots can help businesses save up to 30% on customer support costs. Hence, the increasing adoption of virtual assistants will increase the demand for artificial intelligence in the marketing market groetj. Major players in the artificial intelligence in marketing market are IBM, Salesforce, Amazon, Facebook, Oracle, Microsoft, NVIDIA, GumGum, Heuritech, Alphabet, Baidu, NetBase, Appier, QuantCast and Dstillery. The advancement of technologies is seen as an emerging trend in artificial intelligence (AI) in marketing market. Software companies are bringing new advanced technology for automated and integrated business models. In October 2020, IBM planned to provide its IBM Watson, an AI for business toolset to industry leaders and make it available across the advertising ecosystem. Altering existing business practices can provide firms with improved AI capabilities in language, automation, and trust. In March 2022, Zoomd Technologies Ltd., an Israel-based company marketing tech company announced the acquisition of Albert Technologies Ltd., for an undisclosed amount. Through this deal, Zoomd aims to expand its products onto a Self-Service and SaaS business model using Albert’s expertise in artificial intelligence (AI) and add Fortune 500 customers that will now be able to use Zoomd products and services. Albert Technologies Ltd. is a US-based company offering artificial intelligence marketing solution. APAC was the largest region in the artificial intelligence in marketing market in 2022. The regions covered in the artificial intelligence in marketing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the artificial intelligence in marketing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The artificial intelligence in the marketing market includes revenues earned by entities by making automated judgments based on audience or economic patterns that may affect marketing activities, data collection, analysis, and other observations. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The artificial intelligence in marketing market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence in marketing market statistics, including artificial intelligence in marketing industry global market size, regional shares, competitors with an artificial intelligence in marketing market share, detailed artificial intelligence in marketing market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in marketing industry. This artificial intelligence in marketing market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Artificial intelligence (AI) is a simulation of the human intelligence in machines that are programmed to think and behave like humans. AI helps to complete the job quickly and with relatively few errors. The main components of automotive artificial intelligence are hardware, software, and services. The hardware market consists of sales of hardware by entities (organizations, sole traders, and partnerships), that are integrated into the automotive artificial intelligence field. AI hardware orchestrates and coordinates computations among accelerators, serving as a differentiator in AI. AI hardware primarily consists of CPU (Central Processing Units), GPU (Graphics Processing Units), FPGA (Field Programmable Gate Arrays), and an ASIC (Application Specific Integrated Circuits). The main types of automotive artificial intelligence include automotive drive and ADAS. The different process of automotive artificial intelligence includes signal recognition, image recognition, and data mining. The different technologies used in automotive artificial intelligence include deep learning, machine learning, context awareness, computer vision, and natural language processing. Automotive artificial intelligence is used in semi-autonomous driving, autonomous driving, and human-machine interface. The global automotive artificial intelligence market is segmented - 1) By Component: Hardware, Software, Service 2) By Type: Automatic Drive, ADAS 3) By Process: Signal Recognition, Image Recognition, Data Mining 4) By Technology: Deep Learning, Machine Learning, Context Awareness, Computer Vision, Natural Language Processing 5) By Application: Semi-Automatic, Human Machine Interface, Autonomous Driving The global automotive artificial intelligence market size will grow from $1.98 billion in 2022 to $2.79 billion in 2023 at a compound annual growth rate (CAGR) of 40.7%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The market size of the automotive artificial intelligence is expected to grow to $10.51 billion in 2027 at a CAGR of 39.3%. The growing demand for autonomous vehicles is expected to propel the growth of the automotive artificial intelligence market. Artificial intelligence has a wide range of applications in the automotive industry. As technology evolves, the automobile industry has taken advantage of discoveries to provide new ways to make driving more autonomous. Using artificial intelligence to develop self-driving automobiles is one of them. A self-driving car (also known as an autonomous car or driverless car) is a vehicle that travels to locations without the need for a human driver by utilizing a variety of sensors, radars, cameras, and artificial intelligence. For instance, according to Deloitte, the global automotive AI market will culminate in a total volume of around $27 billion in 2025. Therefore, a rise in demand for automotive cars drives the growth of automotive artificial intelligence. Major players in the automotive artificial intelligence market are DiDi Chuxing Technology, Otto Motors, Waymo LLC, Microsoft Corporation, Intel Corporation, NVIDIA Corporation, BMW AG, IBM Corporation, Harman International Industries Inc., Xilinx Inc., Qualcomm Inc., Tesla Inc., Volvo Car Corporation, Micron Technology, Inc., Toyota, and Uber Technologies. Strategic collaborations between companies are a key trend gaining popularity in the automotive artificial intelligence market. Companies providing artificial automotive intelligence are undergoing partnerships and collaborations to develop new technologies and products. For instance, in May 2021, a mobile transportation company based in China and Volvo, an automobile manufacturing company based in Sweden, are involved in a partnership with automatic driving vehicles. Through this partnership, Volvo will provide Didi with XC90 SUVs fitted with steering and brake backup systems. The vehicles will be the first to use Didi Gemini, the ride-hailing company's new self-driving hardware platform, and will be tested with human safety drivers. In the other partnership, in February 2021, Volkswagen, a German-based automobile manufacturer, and Microsoft, an American multinational technology corporation that produces computer software, consumer electronics, personal computers, and related services, partnered to develop self-driving car software. With this partnership, Volkswagen and Microsoft will together develop the "Volkswagen Automotive Cloud". The service will support all of the German automaker's digital and mobility products, including car-sharing and other shared mobility services. By 2020, Volkswagen hopes to have more than 5 million linked vehicles in the cloud, thanks to the Internet of Things. As part of the agreement, the businesses will open a new automotive cloud development center near Microsoft's headquarters in Redmond, Washington. In June 2020, Mercedes-Benz A German-based luxury automobile manufacturing company, and Nvidia, an American-based multinational technology company that designs graphics processing units as well as systems-on-chip units for the mobile computing and automotive market, entered into a partnership to build the world’s most advanced, software-defined vehicles. The partnership enables Mercedes-Benz to launch software-defined, intelligent vehicles using end-to-end NVIDIA technology. Beginning in 2024, every next-generation Mercedes-Benz vehicle will include Nvidia's first-of-its-kind software-defined computing architecture, which includes the most powerful computers, system software, and applications for consumers, signaling the shift from traditional vehicles to high-performance, updateable computing devices. North America was the largest region in the automotive artificial intelligence market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the automotive artificial intelligence market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the automotive artificial intelligence market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The automotive artificial intelligence market includes revenues earned by entities by offering automotive artificial intelligence. It refers to solutions that can collect and process massive volumes of vehicle data, deliver actionable insights, and improve privacy and data security. Automotive artificial intelligence is at the heart of autonomous driving, allowing for real-time recognition of items in the vehicle's environment and improved maintenance and fleet management used in the production of self-driving automobiles. AI automotive solutions improve navigation systems, improve voice command understanding, and streamline regular activities, all of which lead to improved business processes and have the potential to improve user experience, accelerate innovation cycles, and optimize the overall manufacturing and maintenance workflow. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of currency (in USD ($) unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The automotive artificial intelligence market research report is one of a series of new reports from The Business Research Company that provides automotive artificial intelligence market statistics, including automotive artificial intelligence industry global market size, regional shares, competitors with an automotive artificial intelligence market share, detailed automotive artificial intelligence market segments, market trends and opportunities, and any further data you may need to thrive in the automotive artificial intelligence industry. This automotive artificial intelligence market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Industrial machinery is power-driven machines or groups of machines working together in a coordinated manner in various industrial activities. This is used to cut, shape, form, press, lamination, or a combination of these processes. They are not portable by hand while working. The main types of industrial machinery are woodworking and paper machinery, other industrial machinery, printing machinery and equipment, semiconductor machinery, and food production machinery. Woodworking and paper machinery refers to the equipment that deals with wood and paper products. The various operations include autonomous, semi-autonomous, and manual. The various specificity includes small, medium, and large. The global industrial machinery market is segmented - 1) By Type: Woodworking And Paper Machinery, Other Industrial Machinery, Printing Machinery And Equipment, Semiconductor Machinery, Food Product Machinery 2) By Operation: Autonomous, Semi-Autonomous, Manual 3) By Capacity: Small, Medium, Large Subsegments Covered: Woodworking Machinery, Paper Industry Machinery, Chemical Processing Machinery And Equipment, Glass Making Machinery, Petroleum Refining Machinery, Plastics Working Machinery, Rubber Working Machinery, Tannery Machinery, Textile Making Machinery, All Other Industrial Machinery, Typesetting Machinery, Offset Printing Machinery, Flexographic Printing Machinery, Gravure Printing Machinery, Printing Trades Binding Machinery And Equipment, Other Printing Machinery And Equipment, Wafer Processing Equipment, Semiconductor Assembly And Packaging Equipment, Other Semiconductor Making Machinery, Dairy Product Plant Machinery And Equipment, Bakery Machinery And Equipment, Meat And Poultry Processing And Preparation Machinery, Other Commercial Food Products Machinery The global industrial machinery market size grew from $506.67 billion in 2022 to $545.67 billion in 2023 at a compound annual growth rate (CAGR) of 7.7%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The imarket size of global ndustrial machinery market is expected to grow to $708.3 billion in 2027 at a CAGR of 6.7%. Rapid advances in technology are expected to drive innovation in industrial machinery manufacturing, thus driving the market during the forecast period. Furthermore, technologies such as 3D printing, artificial intelligence, and big data analytics are being used in manufacturing thus resulting in higher productivity, lower operating costs, and higher margins. For instance, according to a global survey by The Economist Intelligence Unit, about 90% of corporate executives felt that artificial intelligence (AI) will have a positive impact on a company’s growth and 86% of respondents considered that AI will help improve productivity. Lower operating costs lead to higher margins, this allows companies to increase product portfolio and enter new markets by making investments made through cost savings. IoT applications are also being integrated into these devices to enable services such as remote monitoring, and central feedback systems and to offer other services. Mobile applications, advanced sensors, and embedded software also created new opportunities for companies in this market. These factors are expected to drive the engine, turbine, and power transmission equipment manufacturing market during the forecast period. Major companies in the industrial machinery market include ASML Holding N.V, Tetra Laval International S.A, Tokyo Electron Ltd., Lam Research Corp, Applied Materials Inc., Canon Inc., Dover Corporation, Konica Minolta Inc., KLA-Tencor Corp, and Thyssenkrupp AG. The outbreak of COVID-19 disease (COVID-19) has acted as a massive restraint on the industrial machinery manufacturing market in 2020 as supply chains were disrupted due to trade restrictions and manufacturing activity declined due to lockdowns imposed by governments globally. COVID-19 is an infectious disease with flu-like symptoms including fever, cough, and difficulty in breathing. The virus was first identified in 2019 in Wuhan, Hubei province of the People’s Republic of China, and spread globally including Western Europe, North America, and Asia. Machinery manufacturers depend heavily on the supply of raw materials, parts, and components from different countries across the globe. As many governments restricted the movement of goods across countries, manufacturers had to halt production due to a lack of raw materials and components. The outbreak is expected to continue to have a negative impact on businesses throughout 2020 and into 2021. However, it is expected that the industrial machinery manufacturing market will recover from the shock across the forecast period as it is a 'black swan event and not related to ongoing or fundamental weaknesses in the market or the global economy. 3D log scanning is being integrated with sawmill manufacturing equipment to produce high-grade lumber at mills. A 3D log scanner is a scanner that measures the actual shape of the logs by coupling vision sensors with geometric data on the log. This helps to increase resolution quality, scan speeds, and laser lighting which is used to measure dark logs leading to a high-grade lumber recovery. This technology is widely used in super mills which are a conglomerate of satellite mills with around two or three log lines. Also, sensors used in 3D log scanning help to capture the knots faster leading to an optimized yield. Major companies offering sawmill equipment with 3D log scanning technology include Raptor Integration Inc., LMI technologies, and JoeScan. The Asia-Pacific was the largest region in the industrial machinery market share in 2022. Western Europe was the second largest region in the industrial machinery market. The regions covered in the global industrial machinery industry report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the industrial machinery market include Argentina, Australia, Austria, Belgium, Brazil, Canada, Chile, China, Colombia, Czech Republic, Denmark, Egypt, Finland, France, Germany, Hong Kong, India, Indonesia, Ireland, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Romania, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Thailand, Turkey, UAE, UK, USA, Venezuela, and Vietnam. The industrial machinery market consists of sales of industrial machinery such as food and beverage manufacturing machinery, semiconductor manufacturing machinery, sawmill and woodworking machinery (except handheld), machinery for making paper and paper products, printing and binding machinery and equipment, textile-making machinery, and machinery for making plastics and rubber products. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The industrial machinery market research report is one of a series of new reports from The Business Research Company that provides industrial machinery market statistics, including industrial machinery industry global market size, regional shares, competitors with an industrial machinery market share, detailed industrial machinery market segments, market trends and opportunities, and any further data you may need to thrive in the industrial machinery industry. This industrial machinery market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

Artificial Intelligence (AI) chipsets are specialized hardware components designed to perform computationally intensive tasks related to artificial intelligence. These chipsets are specifically optimized to enhance the performance and efficiency of AI algorithms and models, enabling faster and more efficient execution of AI workloads. The main hardware types of artificial intelligence (chipsets) are processors, memory, and network. A central processing unit (CPU) processor is the primary hardware component responsible for executing instructions and performing calculations in a computer system. The various technology includes machine learning, natural language processing, context-aware computing, computer vision, predictive analysis with various functions such as training, and inference. It includes computing technology such as cloud AI computing, and edge AI computing, which are used by various industry verticals such as consumer electronics, media and advertising, banking, financial services and insurance (BFSI), information technology (IT) and telecom, retail, healthcare, automotive, and others. The global artificial intelligence (chipsets) market is segmented - 1) By Hardware: Processor, Memory, Network 2) By Technology: Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision, Predictive Analysis 3) By Function: Training, Inference 4) By Computing Technology: Cloud AI Computing, Edge AI Computing 5) By Industry Vertical: Consumer Electronics, Media And Advertising, Banking, Financial Services and Insurance (BFSI), Information Technology (IT) And Telecom, Retail, Healthcare, Automotive, Other Industry Verticals The global artificial intelligence (chipsets) market is expected to grow from $13.72 billion in 2022 to $18.25 billion in 2023 at a compound annual growth rate (CAGR) of 33.1%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The artificial intelligence (chipsets) market is expected to reach $54.45 billion in 2027 at a CAGR of 31.4%. The rising demand for autonomous vehicles is expected to propel the growth of the artificial intelligence (chipsets) market going forward. Autonomous vehicles, also known as self-driving cars or driverless cars, can navigate and operate on the road without direct human input. Artificial intelligence chipsets are used in autonomous vehicles to process sensor data, analyze the surrounding environment, make real-time decisions, and enable safe and efficient navigation without human intervention. For instance, in December 2022, according to the National Highway Traffic Safety Administration (NHTSA), a US-based government agency, there are expected to be approximately 3.5 million autonomous vehicles on U.S. roads by 2025, reaching 5.5 million by 2030. Therefore, the rising demand for autonomous vehicles drives the artificial intelligence (chipsets) market. Major players in the artificial intelligence (chipsets) market are Apple Inc., Alphabet Inc., Samsung Electronics Co. Ltd., Microsoft Corporation, Huawei Technologies Co. Ltd., Intel Corporation, International Business Machines Corporation, Qualcomm Technologies Inc., Micron Technology Inc., NVIDIA Corporation, AMD, MediaTek Inc., Baidu Inc., Xilinx Inc., Ampere Computing LLC, Cambricon Technologies Corporation, Horizon Robotics Inc., VeriSilicon Holdings Co., Cerebras Systems Inc., Greenwave Technology Solutions, Hailo, Graphcore Limited, SambaNova Systems Inc., Mythic Inc., Wave Computing Inc., Esperanto Technologies Inc., CogniTensor Inc., Syntiant Corporation, Tenstorrent Inc., and BrainChip Holdings Ltd. Technological advancements are a popular trend in the artificial intelligence (chipsets) market. Major companies operating in the artificial intelligence (chipsets) market are focused on technological advancements to meet specific demands and sustain their position in the market. For instance, in June 2020, Corerain Technologies Co Ltd, a China-based artificial intelligence company, launched commercial artificial intelligence chip based on streaming architecture. It claims the efficiency of the custom artificial intelligence streaming architecture (CAISA) chip with 3.9 times that of NVIDIA's T4 GPU. This chip was the first to mass produce such AI chips and is applicable for automatic driving, smart cities, and intelligent manufacturing markets. In February 2022, AMD, a US-based semiconductor company, acquired Xilinx for $135 billion. With this acquisition, AMD expands its highly complementary set of products and markets combined with differentiated IP and world-class talent to create the industry’s high-performance and adaptive computing leader. Xilinx is a US-based company that manufactures AI chips. North America was the largest region in the artificial intelligence (chipsets) market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (chipsets) report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the artificial intelligence (chipsets) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain. The artificial intelligence (chipsets) market consists of revenues earned by entities by providing technologies such as parallel processing technologies, and neural network architectures. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (chipsets) market also includes sales of graphics processing units (GPUs), tensor processing units (TPUs), field-programmable gate arrays (FPGAs), and application-specific integrated circuits (ASICs). Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The artificial intelligence (chipsets) market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (chipsets) market statistics, including artificial intelligence (chip sets) industry global market size, regional shares, competitors with artificial intelligence (chipsets) market share, detailed artificial intelligence (chipsets) market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence (chip sets) industry. This artificial intelligence (chipsets) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Commercial and industrial machinery and equipment repair and maintenance refers to repairing and maintaining industrial machinery and equipment and keeping them running and in good condition. It is the process of maintaining machinery to keep it in good working order. It may include upkeep done as part of a regular schedule or in advance of any type of break or damage. The main types of commercial and industrial machinery and equipment repair and maintenance are commercial machinery repair and maintenance, and industrial machinery repair and maintenance. Commercial machinery repair and maintenance refer to the maintenance of commercial machinery. The various applications include agriculture, construction, packaging, food processing, mining, semiconductor manufacturing, and others. The global commercial and industrial machinery and equipment repair and maintenance market is segmented – 1) By Type: Commercial Machinery Repair and Maintenance, and Industrial Machinery Repair and Maintenance 2) By Application: Agriculture,Construction, Packaging, Food Processing, Mining, Semiconductor Manufacturing, Other Applications The global commercial and industrial machinery and equipment repair and maintenance market size will grow from $301.85 billion in 2022 to $326.93 billion in 2023 at a compound annual growth rate (CAGR) of 8.3%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The market size of commercial and industrial machinery and equipment repair and maintenance is expected to grow from $434.82 billion in 2027 at a CAGR of 7.4%. The growth is mainly due to rapid urbanization and rising economic growth. Rapid urbanization and rising economic growth are expected to propel the growth of commercial and industrial machinery and equipment repair going forward. Urbanization refers to the population shift from a rural area to an urban area. Because of the increase in urbanization and population increase the usage of commercial machinery helps to increase repairs for commercial goods. For instance, according to Uncharted, a US-based company that provides information regarding economic trends, for the year 2020 56.2% of the people living in urban areas are expected to increase to 79% by 2050. Their fore increase in Rapid urbanization and rising economic growth are driving the growth of the commercial and industrial machinery and equipment repair market. Major players in the commercial and industrial machinery and equipment repair and maintenance market include Caterpillar Inc., ABB Group, Deere & Co., CNH Industrial NV, and Linde AG. Strategic collaborations for innovating new products have emerged as a key trend gaining popularity in the commercial and industrial machinery market. Major companies operating in the commercial and industrial machinery market are focused on collaborating with one another to create new technologically advanced products to sustain their position in the market. For instance, in November 2022, The Chemours Company, a US-based chemical company with a Mexico-based commercial and industrial refrigeration equipment technology and manufacturing company, Bohn de Mexico. In accordance with the agreement, Bohn de Mexico will use OpteonTM XL20 (R-454 C), OpteonTM XL40 (R-454 A), and OpteonTM XL10 (R-1234 YF) for its new line of BOHN Ecoflex condensing units. These refrigerants are non-ozone depleting (ODP) and have low global warming potential (GWP). The OpteonTM XL refrigerant line provides very low GWP solutions that are ideal for the new Ecoflex equipment generation from Bohn de Mexico, which offers cutting-edge technological innovations for the best energy efficiency of refrigeration systems and aids the business in achieving its sustainability goals. Asia-Pacific was the largest region in the commercial and industrial machinery and equipment repair and maintenance market in 2022. The regions covered in commercial and industrial machinery and equipment repair maintenance market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the commercial and industrial machinery and equipment repair and maintenance market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, USA. The commercial and industrial machinery and equipment repair and maintenance market includes revenues earned by entities by minimizing costly downtime, and lowering the risk of workplace accidents. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The commercial and industrial machinery and equipment repair and maintenance market research report is one of a series of new reports from The Business Research Company that provides commercial and industrial machinery and equipment repair and maintenance market statistics, including commercial and industrial machinery and equipment repair and maintenance industry global market size, regional shares, competitors with a commercial and industrial machinery and equipment repair and maintenance market share, detailed commercial and industrial machinery and equipment repair and maintenance market segments, market trends and opportunities, and any further data you may need to thrive in the commercial and industrial machinery and equipment repair and maintenance industry. This commercial and industrial machinery and equipment repair and maintenance market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Artificial intelligence chips are specific computer chips designed to achieve high efficiency and speed for computations related to AI at the expense of low efficiency and speed for other calculations and that is used for assisting clients in obtaining business insights at scale across banking, finance, trading, insurance applications, and client engagements. The main types of artificial intelligence chips are GPU, ASIC, FPGA, CPU, and other chip types. A GPU provides the fastest graphics processing, and for gamers, the GPU is a stand-alone card plugged into the PCI Express (PCIe) bus. The processing types include edge and cloud. The technologies involved system-on-chip (soc), system-in-package (sip), multi-chip module, and other technologies. The applications are natural language processing (NLP), robotics, computer vision, network security, and other applications. The various industries include media and advertising, BFSI, IT and telecom, retail, healthcare, automotive and transportation, and other industries. The global artificial intelligence chips market is segmented - 1) By Chip Type: GPU, ASIC, FPGA, CPU, Other Chip Types 2) By Processing Type: Edge, Cloud 3) By Technology: System-On-Chip (SoC), System-In-Package (SIP), Multi-Chip Module, Other Technologies 4) By Application: Natural Language Processing (NLP), Robotics, Computer Vision, Network Security, Other Applications 5) By Industry: Media and Advertising, BFSI, IT and Telecom, Retail, Healthcare, Automotive and Transportation, Other Industries The global artificial intelligence chips market size grew from $15.65 billion in 2022 to $23.29 billion in 2023 at a compound annual growth rate (CAGR) of 48.8%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services, and affecting many markets across the globe. The artificial intelligence chips market size is expected to grow to $88.85 billion in 2027 at a CAGR of 39.8%. An increase in demand for smart homes and smart cities is expected to propel the growth of the artificial intelligence chips market going forward. A "smart city" refers to a city that uses digital or information-communication technology to improve the comfort and efficiency of human life. One strategy for urbanisation that aims to achieve sustainable growth is making cities equipped with cutting-edge features for residents to live, walk, shop, and enjoy a safer and more convenient existence. For instance, in March 2022, according to an article shared by Arab News, a Middle East English-language daily newspaper, Saudi Arabia launched a new smart city project in Jeddah for light industries and auto repair, opening the first two stages of the city, the second of which is a 500,000 square metre labour city. A total of 5 million square metres is covered by the Smart City initiative. Further, According to Saudi Vision 2030, a Saudi Arabia-based strategic framework, the city is distinguished by an interconnected infrastructure and the application of digital and smart technology to offer automated services to customers. Therefore, the increase in demand for smart homes and smart cities is driving the growth of artificial intelligence chips. Major players in the artificial intelligence chips market are Intel Corporation, Mediatek Inc., NVIDIA Corporation, Qualcomm Technologies Inc., Advanced Micro Devices Inc., Alphabet Inc., NXP Semiconductors N.V, Micron Technology Inc., IBM Corporation, Apple Inc., Huawei Technologies Co. Ltd., Mythic Inc., Samsung Electronics Co. Ltd., LG Corporation, and Google LLC. Technological advancement is a key trend gaining popularity in the artificial intelligence chips market. Major companies in the artificial intelligence chips market are advancing in their new technologies and research and developments in the artificial intelligence chips market, such as the NVIDIA A100 chips to streamline AI training and inference and improve efficiency. For instance, in May 2020, NVIDIA, a US-based company that specialises in the development and production of chipsets, processors, and related multimedia software for computers operating in the artificial intelligence chips market, launched the EGX A100 and EGX Jetson. The first edge AI product based on the NVIDIA Ampere architecture is the EGX A100. The EGX Jetson is the world’s smallest and most powerful AI supercomputer for microservers, and the product has unique features such as providing high-performance, secure AI processing at the edge. There are two models: the EGX A100 for bigger commercial off-the-shelf servers and the compact EGX Jetson Xavier NX for micro-edge servers. Hospitals, shops, farms, and factories can process and secure the enormous volumes of data pouring from trillions of edge sensors with the NVIDIA EGXTM Edge AI platform. In January 2020, Apple Inc., a US-based multinational technology acquired Xnor.ai for a deal of $ 200 million. Through this acquisition, Apple Inc aims to strengthen its product portfolio in artificial intelligence-enabled image recognition tools. Xnor.ai is a US-based software company. North America was the largest region in the artificial intelligence market in 2022. The regions covered in this artificial intelligence market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the artificial intelligence market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The artificial intelligence chips market consists of sales of application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), central processing units (CPUs), and GPUs. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The artificial intelligence chips market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence chips market statistics, including artificial intelligence chips industry global market size, regional shares, competitors with an artificial intelligence chips market share, detailed artificial intelligence chips market segments, artificial intelligence chips market trends and opportunities, and any further data you may need to thrive in the artificial intelligence chips industry. This artificial intelligence chips market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.