Analysis of the development characteristics of the

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Analysis of the development characteristics of the global artificial intelligence industry and the global intelligent market structure

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I. Development Characteristics of the global AI industry

the cross cooperation between AI and other fields is becoming more and more frequent, and many ai+ industries have been derived in recent years

(1) AI + medical

AI technology enables the medical and health field, which significantly improves the work efficiency of medical institutions and personnel, significantly reduces medical costs, and enables people to achieve scientific and effective daily detection and prevention, and better manage their own health

in recent years, ai+ health care has ranked among the hottest areas of ai+ vertical applications. From the perspective of application, intelligent medicine mainly includes medical research, pharmaceutical research and development, intelligent diagnosis and treatment, and family health management. From the perspective of technology segmentation, it mainly includes the use of machine learning technology to achieve drug performance, crystal form prediction, gene sequencing prediction, etc; Using intelligent voice and natural language processing technology to realize electronic medical record, intelligent inquiry, guidance, etc; Machine vision technology is used to realize medical image recognition, focus recognition, skin disease self-examination, etc. According to McKinsey's prediction, by 2025, the scale of the global intelligent medical industry will reach a total of US $25.4 billion, accounting for about 1/5 of the total value of the global AI market

(2) although I'm a master of AI + Jin Xiaobian, I'm also an expert in the financial field enabled by AI technology. From the perspective of application, it mainly includes intelligent investment advisers, credit risk control, financial search engines, insurance, authentication and intelligent customer service. Finance is one of the industries that most rely on data. AI technology is integrated with the financial industry, and the intelligent upgrading of financial technology is driven by AI technology based on big data. At the front desk, it can be used to provide users with more comfortable, convenient and safe services; In the middle stage, it can provide decision-making auxiliary functions for transactions, credit granting and analysis in financial business; In the background, the financial system can be improved for various risks. In the background, it can improve the identification, early warning and prevention and control ability of the financial system for various risks. In a word, AI technology will deeply reconstruct the current ecological pattern of the financial industry and make financial services (banking, insurance, wealth management, lending, investment, etc.) more humanized and intelligent

the information utilization rate of global financial services is only 26%, which is low in all industries. According to the markets and markets report, the global market size of AI in fintech is expected to grow from $1.338 billion in 2017 to $7.306 billion in 2022, with a CAGR of 40.4%

(3) ai+ retail

ai technology enables the retail industry. Smart retail uses big data and intelligent technology to drive the new format of market retail, optimize the resource allocation and efficiency of the whole industrial chain from production, circulation to sales, so as to realize the intelligent upgrading of industrial services and efficiency. Its commercial applications include intelligent marketing recommendation, intelligent payment system, intelligent customer service, unmanned warehouse/unmanned car, unmanned store, intelligent distribution, etc

market and markets report shows that the global smart retail market is expected to grow from US $13.07 billion in 2018 to US $38.51 billion in 2023, with a compound annual growth rate of 24.12% in the forecast period (after in-depth research and thorough analysis of the Chinese market in recent years in 2018 -2023)

(4) ai+ education

ai technology empowers the field of education. Paying attention to students' personalized education helps teachers teach students in accordance with their aptitude, improve the quality of teaching and learning, and promote balanced and affordable education. At present, intelligent education comprehensively covers the industrial chain of teaching, learning, examination, evaluation and management, and has been accelerated in preschool education, K12, higher education, vocational education, education and other subdivisions. From the perspective of application, intelligent education can be divided into four links: learning management, learning evaluation, teaching guidance, and teaching cognitive thinking. From the perspective of subdivisions, it includes landing scenes such as educational evaluation, photo answering, intelligent teaching, intelligent education, intelligent marking, AI adaptive learning, etc

markets and markets report shows that in 2017, the market size of global AI technology in the education industry was US $373.1 million, which is expected to reach US $3683.5 million by 2023, with a compound annual growth rate of 47.0% in the forecast period (). Global market insights also released a latest research report, which predicts that the value of the AI industry in the education market will exceed $6billion in 2024

(5) ai+ home

ai technology enables the home field, helps the home ecosystem from perception to cognitive development, and makes home life safer, more comfortable, more energy-saving, more efficient and more convenient. In the future, smart home will gradually realize adaptive learning and control functions to meet the personalized needs of different families. Smart home is a home ecosystem based on IOT, which mainly includes intelligent lighting system, intelligent energy management system, intelligent audio-visual system, intelligent security system, etc

According to the latest report of strategy analytics, the global smart home market reached US $84 billion in 2017, up 16% from US $72 billion in 2016 and US $96 billion in 2018

(6) ai+ agriculture

ai technology enables the agricultural field, so that agriculture can effectively cope with the impact of extreme weather, reduce resource consumption, optimize resource allocation, reduce costs, optimize time and resource allocation, so as to obtain the maximum yield and benefits. From the perspective of application, intelligent agriculture mainly includes agricultural robots, precision agriculture, UAV analysis, animal husbandry monitoring, etc

According to the markets and markets report, the global smart agriculture market reached US $6.7 billion in 2017. It will reach $7.53 billion in 2018 and $13.5 billion by 2023

(7) ai+ manufacturing

AI technology enables the manufacturing industry, which can significantly promote the optimization of manufacturing cycle and efficiency, improve product quality, and reduce labor costs. The intelligent manufacturing industry chain has a wide range of scenarios, and its typical application scenarios include intelligent products and equipment; Intelligent factory, workshop and production line; Intelligent management and service; Intelligent supply chain and physics; Intelligent software development and integration; Intelligent monitoring and decision-making, etc

in 2017, the global intelligent manufacturing market reached US $202.82 billion, and is expected to reach about US $479.01 billion in 2023. The compound annual growth rate in the forecast period () is about 15.4%

(8) ai+ network security

ai technology enables all fields of network, which helps manufacturers, enterprises, and even individuals effectively improve their ability to deal with more and more network security problems such as network fraud and malicious attacks. Artificial intelligence has some unique advantages in the field of network defense, which also makes it a breakthrough in AI network security protection. At present, the main applications of intelligent network security include: network monitoring and Prevention (including real-time identification, response and defense of network attacks, security vulnerabilities and system fault prediction, cloud security assurance, etc.); Prevent malware and files from being executed; Improve the operation efficiency of the security operation center; Abnormal detection of network flow; Application safety detection; Network risk assessment, etc

according to the technavio Market Research Report, the global smart network security market in 2017 was US $4.96 billion, and it is predicted that the global artificial intelligence based network security market will grow at a CAGR of more than 29% during the year

(9) AI + human resources

AI technology enables the field of human resources, which helps human resources serve the process automation upgrading of the management process, greatly improves work efficiency and compliance, and reduces personnel recruitment and management costs and personal bias. Its main applications include talent channel maintenance before recruitment, talent prediction and analysis, position matching, resume screening, AI chat support, etc; Interview appointment, check results, entry, etc. in the recruitment process; New staff training, QA interactive Q & A, knowledge learning and career planning support; Analysis of employee behavior and efficiency, salary analysis, mental health analysis, team culture analysis, etc. According to the data of grand view research, it is predicted that it will reach $30billion by 2025, with a compound annual growth rate of 10.4% in the prediction period ()

(10) ai+ security

AI technology enables the security field, filling the defect that traditional security can no longer meet the industry's demand for the accuracy, breadth and efficiency of the security system. Intelligent security is the first large-scale application of artificial intelligence and continues to generate commercial value. Its function realization in product landing is mainly reflected in target tracking and detection and abnormal behavior analysis, video quality diagnosis and summary analysis, face recognition and feature extraction analysis, vehicle recognition and feature extraction analysis, etc

mordor intelligence predicts that it will reach US $82.615 billion in 2023, with a compound annual growth rate of 15.41% in the forecast period ()

(11) intelligent driving

ai technology enables the traditional driving field, which can effectively improve production and traffic efficiency, alleviate labor shortage, achieve the purpose of safety, environmental protection and efficiency, and lead the comprehensive upgrading and reshaping of industrial ecology and business model. Intelligent driving is a complex industrial chain, and its fields include taking out samples immediately after chip experiments, software algorithms, high-definition maps, security control, etc

the U.S. IHS automotive report predicts that by 2025, the global sales of autonomous vehicle will be close to 600000 and will reach 21million in 2035. The market will maintain a compound annual growth rate of 48% during the forecast period ()

(12) intelligent robot

effective protection of fixture and clamping surface once a year

AI technology enables the robot to have the ability of human like perception, coordination, decision-making and feedback. From the perspective of application, it mainly includes intelligent industrial robots, intelligent service robots and intelligent special robots. The current mainstream intelligent industrial robots generally have the functions of packaging, positioning, sorting, assembly, detection and so on; Intelligent service robots generally have the functions of family partners, business services, health care, retail sales, disability rehabilitation and so on; Intelligent special robots generally have the functions of reconnaissance, search and rescue, fire suppression, decontamination, demolition and so on

II. Global AI market structure

in 2018, the United States implemented a series of strategies to ensure that its global AI continued to lead; Britain, France, Germany and other European countries have successively increased investment to rank among the national leaders; Japan, South Korea and other Asian countries have followed up and increased investment in technology, talents, applications and so on

chart: comparison of indexes of major AI research countries in 2018

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