New Background of 1. Industrial Market Research

The industrial market refers to the market for products and services provided for the production of other products and services, such as raw materials, equipment, parts and components, energy, logistics, technology, etc. The main difference between the industrial market and the consumer goods market is that the end use of the products and services of the industrial market is not personal consumption, but the production of other products and services.

Therefore, the characteristics of the industrial market are very different from those of the consumer goods market, such as smaller market size, more complex market structure, more stable market demand, more intense market competition, more sensitive market prices, more professional market transactions and so on.

Industrial market research refers to the relevant elements of the industrial market, such as market demand, market segmentation, market positioning, marketing mix, etc., professional research and consulting activities. The purpose of industrial market research is to provide support and guidance for strategic decision-making, product innovation, market expansion and competitive advantage of industrial enterprises.

The process of industrial market research generally includes determining the purpose of the research, designing a research plan, collecting research data, analyzing research data, preparing research reports, and providing research recommendations.

With the development and application of the new generation of information technology, industrial market research is also facing new challenges and opportunities. On the one hand, the new generation of information technology provides more data sources, data tools and data platforms for industrial market research, so that industrial market research can obtain more information, faster speed, higher accuracy and lower cost.

On the other hand, the new generation of information technology has also promoted the change and development of the industrial market, making industrial market research need to adapt to more complex market structure, more diverse market needs, more rapid market changes, and more intense market competition. Therefore, industrial market research needs to use digital, intelligent and networked technical means to improve the efficiency and effectiveness of industrial market research and adapt to the changes and development of the industrial market.

New Trends in 2. Industrial Market Research

The new trend of industrial market research refers to the changes and innovations in the content, methods and modes of industrial market research under the influence of the new generation of information technology. New trends in industrial market research include the following:

Research on Digital-(I) Industrial Market

Digital industrial market research refers to the use of digital technology, such as cloud computing, big data, Internet of things, artificial intelligence, etc., to collect, store, process, analyze, present and disseminate the relevant information of the industrial market. The characteristics and value of digital industrial market research are as follows:

Large amount of data. Digital industrial market research can obtain a large amount of relevant information of the industrial market from various channels and channels, such as industrial equipment, industrial platforms, industrial applications, industrial social networking, etc., such as the parameters, performance, quality, price, etc. of industrial products, the needs, behaviors, satisfaction, etc. of industrial customers, the products, strategies and advantages of industrial competitors, and the policies, regulations and standards of industrial environment. This information can provide more comprehensive, detailed and real-time data support for industrial market research.

High quality data. Digital industrial market research can use digital technology, such as data cleaning, data fusion, data mining, data visualization, etc., to effectively manage and optimize the relevant information of the industrial market and improve the quality and value of data.

For example, data cleaning can remove noise, anomalies, duplication, etc. in the data, and improve the accuracy and consistency of the data; data fusion can integrate and align data from different sources, different formats, and different dimensions to improve the integrity and relevance of the data; data mining can discover hidden rules and knowledge from the data, and improve the depth and meaning of the data; data visualization can present data in the form of graphs, charts, animations, etc. to improve the intuitiveness and understandability of data.

The data is good. Digital industrial market research can use digital technology, such as data analysis, data forecasting, data recommend, data decision-making, etc., to effectively apply and utilize the relevant information of the industrial market and improve the efficiency and effectiveness of data.

For example, data analysis can describe and explain the current situation and trends of the industrial market and provide results and basis for industrial market research; data prediction can infer and predict the problems and causes of the industrial market and provide suggestions and solutions for industrial market research; data recommend can discover and recommend the opportunities and directions of the industrial market and provide opportunities and directions for industrial market research; data decision-making can evaluate and select strategies and measures for industrial market, and provide strategies and measures for industrial market research.

Research on (II) Intelligent Industrial Market

Intelligent industrial market research refers to the use of intelligent technologies, such as artificial intelligence, machine learning, deep learning, natural language processing, etc., to intelligently understand and generate relevant information about the industrial market.

Providing research suggestions: according to the report of industrial market research, it puts forward feasible and practical opinions and suggestions for the strategic decision-making, product innovation, market expansion and competitive advantage of industrial enterprises, so as to provide value and basis for industrial market research.

New Trends in 3. Industrial Market Research

The new trend of industrial market research refers to the changes and innovations in the content, methods and modes of industrial market research under the influence of the new generation of information technology. New trends in industrial market research include the following:

Research on Digital-(I) Industrial Market

Digital industrial market research refers to the use of digital technology, such as cloud computing, big data, Internet of things, artificial intelligence, etc., to collect, store, process, analyze, present and disseminate the relevant information of the industrial market. The characteristics and value of digital industrial market research are as follows:

Large amount of data. Digital industrial market research can obtain a large amount of relevant information of the industrial market from various channels and channels, such as industrial equipment, industrial platforms, industrial applications, industrial social networking, etc., such as the parameters, performance, quality, price, etc. of industrial products, the needs, behaviors, satisfaction, etc. of industrial customers, the products, strategies and advantages of industrial competitors, and the policies, regulations and standards of industrial environment. This information can provide more comprehensive, detailed and real-time data support for industrial market research.

High quality data. Digital industrial market research can use digital technology, such as data cleaning, data fusion, data mining, data visualization, etc., to effectively manage and optimize the relevant information of the industrial market and improve the quality and value of data.

For example, data cleaning can remove noise, anomalies, duplication, etc. in the data, and improve the accuracy and consistency of the data; data fusion can integrate and align data from different sources, different formats, and different dimensions to improve the integrity and relevance of the data; data mining can discover hidden rules and knowledge from the data, and improve the depth and meaning of the data; data visualization can present data in the form of graphs, charts, animations, etc. to improve the intuitiveness and understandability of data.

The data is good. Digital industrial market research can use digital technology, such as data analysis, data forecasting, data recommend, data decision-making, etc., to effectively apply and utilize the relevant information of the industrial market and improve the efficiency and effectiveness of data.

For example, data analysis can describe and explain the current situation and trends of the industrial market and provide results and basis for industrial market research; data prediction can infer and predict the problems and causes of the industrial market and provide suggestions and solutions for industrial market research; data recommend can discover and recommend the opportunities and directions of the industrial market and provide opportunities and directions for industrial market research; data decision-making can evaluate and select strategies and measures for industrial market, and provide strategies and measures for industrial market research.

Research on (II) Intelligent Industrial Market

Intelligent industrial market research refers to the use of intelligent technology, such as artificial intelligence, machine learning, deep learning, natural language processing, etc., to intelligently understand, generate, interact, and optimize the relevant information of the industrial market. The characteristics and value of intelligent industrial market research are as follows:

Understanding can be strong. Intelligent industrial market research can use intelligent technologies, such as natural language processing, semantic analysis, knowledge mapping, etc., to intelligently understand and interpret relevant information about the industrial market and improve the accuracy and depth of industrial market research.

For example, natural language processing can perform word segmentation, part-of-speech tagging, named entity recognition, relation extraction, etc. on text information in the industrial market to improve the text analysis ability of industrial market research. Semantic analysis can perform sentiment analysis, opinion mining, topic discovery, etc. on text information in the industrial market to improve the text understanding ability of industrial market research. Knowledge mapping can integrate and represent structured and unstructured information in the industrial market, improve knowledge acquisition in industrial market research.

The generation energy is strong. Intelligent industrial market research can use intelligent technologies, such as machine learning, deep learning, and generative adversarial networks, to intelligently generate and present relevant information about the industrial market and improve the innovation and aesthetics of industrial market research.

For example, machine learning can classify, cluster, regression, dimension reduction, etc. of data information in industrial markets, and improve the data analysis capabilities of industrial market research; deep learning can identify, detect, segment, generate, etc. image information in industrial markets, and improve the image analysis capabilities of industrial market research; the generative adversarial network can automatically generate and optimize the text, image, audio and other information of the industrial market, and improve the content generation ability of industrial market research.

Interaction can be strong. Intelligent industrial market research can use intelligent technologies, such as speech recognition, speech synthesis, machine translation, dialogue systems, etc., to intelligently interact and communicate relevant information about the industrial market, and improve the convenience and friendliness of industrial market research. For example, speech recognition can convert the speech information of industrial market into text information and improve the speech input ability of industrial market research; speech synthesis can convert the text information of industrial market into speech information and improve the speech output ability of industrial market research;

Machine translation can convert the text information of industrial market into text information of different languages, and improve the language conversion ability of industrial market research; dialogue system can carry out natural dialogue and communication with relevant subjects of industrial market, and improve the dialogue understanding ability of industrial market research.

Optimization can be strong. Intelligent industrial market research can use intelligent technology, such as reinforcement learning, multi-objective optimization, meta-learning, etc., to intelligently optimize and improve the relevant information of the industrial market, and improve the efficiency and effectiveness of industrial market research.

For example, reinforcement learning can find the optimal strategy and action of industrial market research through continuous trial and feedback, and improve the strategy optimization ability of industrial market research. Multi-objective optimization can find the optimal solution and balance point of industrial market research under the condition of considering multiple objectives and constraints of industrial market research, and improve the solution optimization ability of industrial market research; meta-learning can improve the learning ability and adaptability of industrial market research by learning different tasks and environments of industrial market research, and improve the method optimization ability of industrial market research.

(III) of Industrial Market Based on Network

Networked industrial market research refers to the use of network technologies, such as the Internet, mobile Internet, Internet of Things, cloud computing, etc., to connect, share, collaborate, and innovate industrial market research. The characteristics and value of networked industrial market research are as follows:

The connection is extensive. Networked industrial market research can use network technologies, such as the Internet, mobile Internet, Internet of Things, etc., to connect and integrate relevant entities of the industrial market (such as industrial enterprises, industrial customers, industrial competitors, industrial suppliers, industrial intermediaries, etc.) and related information (such as industrial products, industrial services, industrial data, industrial knowledge, etc.), improve the ability of information acquisition and information exchange in industrial market research.

Sharing is convenient. Networked industrial market research can use network technologies, such as cloud computing, cloud storage, cloud services, etc., to store, process, and provide information about the industrial market. Networked industrial market research can use network technologies, such as cloud computing, cloud storage, cloud services, etc., to store, process, and provide information about the industrial market.

Networked industrial market research can realize the safe, efficient, flexible and low-cost sharing and use of industrial market research information, and improve the information management ability and information service ability of industrial market research.

Collaboration is efficient. Networked industrial market research can use network technology, such as collaborative work, collaborative innovation, collaborative learning, etc., to conduct collaborative and interactive industrial market research. Networked industrial market research can realize knowledge sharing, experience exchange, problem solving, creative stimulation, etc. between the subjects of industrial market research, and improve the efficiency and quality of collaboration in industrial market research.

Innovation continues. Networked industrial market research can use network technology, such as open innovation, crowdsourcing innovation, social innovation, etc., to innovate and participate in industrial market research. Networked industrial market research can realize the sharing and exchange of innovative resources, innovative thinking, innovative models, and innovative value between the subjects of industrial market research, and improve the innovation ability and innovation effect of industrial market research.

New Models and Methods of 3. Industrial Market Research

The new mode and method of industrial market research refers to the changes and innovations in the organization form, service mode and value creation of industrial market research under the support of digital, intelligent and networked technical means. The new models and methods of industrial market research mainly include the following aspects:

Research on Industrial Market of (I) Platform

Platform-based industrial market research refers to the use of digital, intelligent and networked technical means to build an open, shared, collaborative and innovative industrial market research platform to realize the multi-party participation, multi-party contribution and multi-party benefit of industrial market research. The characteristics and value of platform-based industrial market research are as follows:

Participation is extensive. Platform-based industrial market research can attract and gather all subjects of industrial market research, such as industrial enterprises, industrial customers, industrial competitors, industrial suppliers, industrial intermediaries, industrial experts, industrial enthusiasts, etc., to form a huge, Diverse and active industrial market research community to increase the participation and influence of industrial market research.

Diverse contributions. Platform-based industrial market research can stimulate and utilize the knowledge, skills, experience and creativity of all parties involved in industrial market research to form a rich, diversified and dynamic industrial market research resource base and improve the contribution and value of industrial market research.

Benefit sharing. Platform-based industrial market research can meet and serve the needs, expectations and goals of all parties in industrial market research, form a fair, reasonable and effective industrial market research value distribution mechanism, and improve the benefit and satisfaction of industrial market research.

Research on the industrial market of (II) customization

Customized industrial market research refers to the use of digital, intelligent and networked technical means to provide personalized, exclusive and high-quality industrial market research services according to the specific needs, preferences and scenarios of customers in industrial market research, so as to realize the industrial market research of customer orientation, customer satisfaction and customer loyalty. The characteristics and value of customized industrial market research are as follows:

Demand is accurate. Customized industrial market research can use digital, intelligent and networked technical means, such as data analysis, data prediction, data recommend, etc., to conduct in-depth understanding and analysis of the needs of customers in industrial market research, and provide in-depth understanding and analysis of the needs of customers. Industrial market research services with characteristics, demand scale, demand changes, etc., improve the demand matching and demand satisfaction of industrial market research.

Preference personality. Customized industrial market research can use digital, intelligent and networked technical means, such as data analysis, data prediction, data recommend, etc., to carefully understand and analyze the preferences of customers in industrial market research, provide industrial market research services that conform to customers' preference style, preference content, preference scenario, etc., and improve the preference matching and preference satisfaction of industrial market research.

Scene adaptation. Customized industrial market research can use digital, intelligent and networked technical means, such as data analysis, data prediction, data recommend, etc., to comprehensively understand and analyze the scenes of customers in industrial market research, provide industrial market research services that meet customers' scene background, scene requirements, scene changes, etc., and improve the scene matching and scene adaptability of industrial market research.

(III) of Industrial Market Based on Synergy

Collaborative industrial market research refers to the use of digital, intelligent and networked technical means to achieve knowledge sharing, experience exchange, problem solving, creative stimulation, etc. between the subjects of industrial market research, and to improve the efficiency and quality of collaboration in industrial market research. The characteristics and value of collaborative industrial market research are as follows:

Knowledge sharing. Collaborative industrial market research can use digital, intelligent and networked technical means, such as cloud computing, cloud storage, cloud services, etc., to realize the storage, provision, acquisition, and update of knowledge between the subjects of industrial market research, and improve the efficiency and effectiveness of knowledge sharing in industrial market research.

For example, cloud computing can provide powerful computing power and storage space for the main body of industrial market research, and improve the knowledge processing ability and knowledge storage ability of industrial market research; cloud storage can provide safe, efficient and flexible knowledge storage services for the main body of industrial market research, and improve the knowledge protection ability and knowledge access ability of industrial market research; cloud services can provide diverse, professional and practical knowledge services for the main body of industrial market research, and improve the knowledge acquisition ability and knowledge application ability of industrial market research.

Exchange of experience. Collaborative industrial market research can use digital, intelligent and networked technical means, such as collaborative work, collaborative innovation, collaborative learning, etc., to achieve the exchange of experience, feedback, evaluation, improvement, etc. between the subjects of industrial market research, and improve the efficiency and effectiveness of the exchange of experience in industrial market research. For example, collaborative work can provide a collaborative, interactive, real-time work platform for the main body of industrial market research, and improve the work coordination ability and work communication ability of industrial market research;

Collaborative innovation can provide an open, shared and innovative innovation platform for the main body of industrial market research, and improve the innovation cooperation ability and innovation communication ability of industrial market research. Collaborative learning can provide a learning, mutual assistance and progressive learning platform for the main body of industrial market research, and improve the learning cooperation ability and learning communication ability of industrial market research.

Problem solving. Collaborative industrial market research can use digital, intelligent and networked technical means, such as data analysis, data prediction, data recommend, data decision-making, etc., to realize the discovery, analysis, solution and evaluation of problems between the subjects of industrial market research, and to improve the efficiency and effect of problem solving in industrial market research.

For example, data analysis can provide the main body of industrial market research with the service of describing and explaining the relevant information of the industrial market, and improve the problem discovery ability and problem analysis ability of industrial market research; data prediction can provide the main body of industrial market research with the service of inferring and predicting the relevant information of the industrial market, and improve the problem solving ability and problem evaluation ability of industrial market research;

Data recommend can provide services for the main body of industrial market research to discover and recommend the relevant information of the industrial market, and improve the problem optimization ability and problem improvement ability of industrial market research. Data decision-making can provide services for the main body of industrial market research to evaluate and select the relevant information of the industrial market, and improve the problem decision-making ability and problem execution ability of industrial market research.

Creative Inspire. Collaborative industrial market research can make use of digital, intelligent and networked technical means, such as open innovation, crowdsourcing innovation, social innovation, etc., to achieve the stimulation, sharing, evaluation and realization of creativity among the subjects of industrial market research, and to improve the efficiency and effect of creative stimulation of industrial market research.

For example, open innovation can provide an open, shared and collaborative innovation environment for the main body of industrial market research, and improve the ability of creative source and creative expansion of industrial market research; crowdsourcing innovation can provide an innovation mode for the main body of industrial market research by using many, diverse and active innovation participants, and improve the ability of creative contribution and creative evaluation of industrial market research;

Social innovation can provide an innovative model for the main body of industrial market research to make use of social, network and cultural innovation resources, and improve the ability of creative acquisition and creative realization of industrial market research.