Industrial market research is an important basis for enterprises to formulate strategies and decisions, but there are many limitations in traditional industrial market research methods, such as difficulties in data collection, single analysis methods, and lack of depth in results. With the continuous emergence of new technologies and new ideas, industrial market research is also facing opportunities and challenges for innovation and breakthroughs. This paper discusses the innovation and breakthrough of industrial market research from three aspects: one is to use new technologies such as big data, cloud computing and artificial intelligence to improve the efficiency and quality of data collection and analysis; the other is to use new thinking such as design thinking, system thinking and storytelling to enhance the insight and influence of research; the third is to combine the specific cases of Shangpu consulting service customers, it shows the application and value of innovation and breakthrough of industrial market research in practice.

1. Introduction

The industrial market refers to the market with the means of production as the main trading object, including raw materials, equipment, spare parts, energy, services and other products and services. The industrial market is characterized by large trading scale, long trading cycle, many trading objects and complex trading process. Therefore, industrial market research is of great significance for enterprises to understand market demand, competitive situation, customer behavior, value proposition and so on, and is an important basis for enterprises to formulate strategies and decisions.

However, traditional industrial market research methods have many limitations, such:

Data collection is difficult. Due to the large number and dispersion of participants in the industrial market, diverse and irregular data sources, and uneven data quality, data collection costs are high, efficiency is low, and coverage is low.

The analysis method is single. Due to the complexity and dynamics of the industrial market, a single analytical method often fails to fully reflect the true situation of the market and lacks the prediction and exploration of market trends and potential opportunities.

The result lacks depth. Due to the diverse and hidden needs of customers in the industrial market, data analysis alone often fails to reveal the true needs and value points of customers, and lacks an in-depth understanding of customer behavior and decision-making processes.

With the continuous emergence of new technologies and new ideas, industrial market research is also facing opportunities and challenges for innovation and breakthroughs. This paper discusses the innovation and breakthrough of industrial market research from three aspects: one is to use new technologies such as big data, cloud computing and artificial intelligence to improve the efficiency and quality of data collection and analysis; the other is to use new thinking such as design thinking, system thinking and storytelling to enhance the insight and influence of research; the third is to combine the specific cases of Shangpu consulting service customers, it shows the application and value of innovation and breakthrough of industrial market research in practice.

2. use of new technologies to improve the efficiency and quality of data collection and analysis

New technology refers to a series of technologies with information technology as the core, Internet as the basis, and big data, cloud computing, artificial intelligence and so on. The new technology provides powerful data support and analysis tools for industrial market research, which can effectively solve the limitations of traditional methods in data collection and analysis, and improve the efficiency and quality of data collection and analysis.

2.1 Leverage Big Data to Improve Coverage and Accuracy of Data Collection

Big data refers to data with huge scale, diverse types, low value density and high timeliness. Big data comes from various channels such as the Internet, Internet of Things, social media, mobile devices, etc., covering all aspects of the industrial market, such as market size, competitive landscape, customer behavior, product performance, and service quality. Using big data, industrial market research can achieve the following advantages:

Improve coverage of data collection. Through the collection, integration, cleaning and storage of massive data, industrial market research can obtain more comprehensive and detailed market information, covering more market participants and more market segments.

Improve the accuracy of data collection. Through cross-validation and correction of data from different sources and types, industrial market research can eliminate noise and bias in the data and improve the authenticity and credibility of the data.

Improve the timeliness of data collection. By capturing and updating real-time or near-real-time data, industrial market research can reflect changes in the market in a timely manner and grasp the dynamic characteristics of the market.

2.2 Leverage Cloud Computing to Increase Efficiency and Flexibility in Data Analytics

Cloud computing refers to the provision of scalable computing resources to users on demand through the network to achieve resource sharing and pay-as-you-go. Cloud computing provides powerful computing power and storage space for industrial market research, which can effectively solve the limitations of traditional methods in data analysis and improve the efficiency and flexibility of data analysis.

Improve the efficiency of data analysis. By storing large amounts of data in the cloud and leveraging the parallel computing power of the cloud, industrial market research can quickly process and analyze complex data, reducing analysis time and increasing analysis speed.

Increase the flexibility of data analysis. By converting different types and formats of data into a unified standard, and taking advantage of the compatibility and scalability of the cloud, industrial market research can flexibly choose different analysis methods and models to adapt to different analysis needs and enhance analysis adaptability.

2.3 uses artificial intelligence to improve the quality and intelligence of data analysis

Artificial intelligence refers to tasks performed by computer systems that usually require human intelligence, such as learning, reasoning, judgment, decision-making, etc. Artificial intelligence provides intelligent data analysis and decision support for industrial market research, which can effectively solve the limitations of traditional methods in data analysis and improve the quality and intelligence of data analysis.

Improve the quality of data analysis. By leveraging the learning capabilities of artificial intelligence, industrial market research can extract valuable information from large amounts of data, discover patterns and correlations in the data, generate insightful analysis reports, and enhance the depth of analysis.

Improve the intelligence of data analysis. By using the reasoning ability of artificial intelligence, industrial market research can give reasonable suggestions and predictions based on the results of data analysis, support the strategy and decision-making of enterprises, and enhance analytical intelligence.

3. Using New Thinking to Enhance the Insight and Influence of Research

New thinking refers to a series of thinking modes with innovation as the core, user-centered and value-oriented. New thinking provides a new perspective and method for industrial market research, which can effectively solve the limitations of traditional methods in research insight and influence, and enhance the insight and influence of research.

3.1 Use Design Thinking to Improve Research Insight

Design thinking refers to the way of thinking that takes user needs as the starting point and creates solutions that meet user needs and expectations through principles and methods such as empathy, diversification, and iteration. Design thinking provides an in-depth understanding of user needs and value points for industrial market research, which can effectively solve the limitations of traditional methods in research insight and improve research insight.

In-depth understanding of user needs. By applying the principles and methods of empathy in design thinking, industrial market research can deeply understand the behavior and decision-making process of users in the industrial market from the perspective of users, through observation, interview and experience, and reveal the real needs and motivations of users.

Discover user value points. By applying the diversified principles and methods in design thinking, industrial market research can analyze user needs from different angles and levels, and find the most concerned and important value points of users in the industrial market by means of classification, induction and priority.

3.2 Using Systems Thinking to Enhance the Impact of Research

System thinking refers to the way of thinking that understands and improves system problems by identifying system structure, analyzing system behavior, and establishing system models, characterized by integrity, dynamics, and complexity. System thinking provides a comprehensive analysis of the market environment and competitive advantage for industrial market research, which can effectively solve the limitations of traditional methods in research influence and enhance the influence of research.

Comprehensive analysis of the market environment. By applying the holistic principles and methods of systems thinking, industrial market research can view the industrial market as a system consisting of the interaction of multiple elements, and comprehensively analyze the market environment and influencing factors by identifying the boundaries, elements, and relationships of the system.

Build a competitive advantage. By applying the principles and methods of dynamics and complexity in system thinking, industrial market research can regard the industrial market as a system that changes over time and is affected by many factors, and establish competitive advantage and differentiation strategies and schemes by analyzing the behavior, patterns and feedback of the system.

3.3 Using Storytelling to Enhance the Influence of Research

Storytelling refers to a way of expression with emotion as the core, narrative as the means, and the purpose of transmitting information and value. Stories for industrial market research provides an effective way to communicate and disseminate research results, which can effectively solve the limitations of traditional methods in research influence and enhance the influence of research.

Communicate research results effectively. By applying the narrative principles and methods in storytelling, industrial market research can transform data and analysis into logical, emotional, and attractive stories, and effectively communicate research results and recommendations by setting the background, conflict, climax, and ending of the story.

dissemination of research value. By applying the emotional principles and methods in storytelling, industrial market research can connect the story with the needs and expectations of the target audience, and spread the value and significance of the research by stimulating the audience's interest, curiosity, resonance and other emotions.

4. show the application and value of innovation and breakthrough in industrial market research in practice with the specific cases of Shangpu consulting service customers.

Shangpu Consulting is a company specializing in industrial market research and consulting services. It has rich industry experience and professional team to provide customized solutions for industrial enterprises in various industries around the world. Shangpu Consulting actively uses new technologies and new thinking in industrial market research, realizes innovation and breakthrough in industrial market research, and has achieved remarkable results and value in practice. The following are two specific cases of Champ Consulting Services clients:

4.1 Case 1: Using Big Data and Design Thinking to Help an Auto Parts Company Discover New Market Opportunities

Customer background: The customer is a professional manufacturer of auto parts. The main products include tires, brake pads, and wheels. Customers are facing fierce market competition, low profit margins, weak growth and other issues, looking for new market opportunities.

champ consulting services process:

Big data is used to collect and integrate massive data from the Internet, Internet of Things, social media and other channels, covering the scale, structure, trends, competitors, and customers of the auto parts market.

Using design thinking to start from the needs of users, through observation, interviews, experience, etc., in-depth understanding of the behavior and decision-making process of auto parts users in the process of purchase, use, maintenance, etc., reveals the real needs and motivations of users, and finds The value points of users in terms of safety, comfort, and personalization.

Using the combination of big data and design thinking analysis, user needs are classified, summarized, and prioritized from different angles and levels, and new market opportunities in the auto parts market are discovered, such as smart tires and customized wheels.

According to the market opportunities found, the corresponding product development and market promotion suggestions and solutions are put forward for customers to help customers achieve market innovation and growth.

champ advisory services effect:

According to the suggestions and solutions of Shangpu Consulting, customers have successfully developed new products such as smart tires and customized wheels, and have received good response and evaluation in the market.

Through the services of Shangpu Consulting, customers have improved their insight and innovation capabilities in the auto parts market, enhanced market competitiveness and profitability, and achieved market share and brand awareness.

4.2 Case 2: Using cloud computing and system thinking to help a steel company optimize production management

Customer background: The customer is an enterprise specializing in the production of steel products. The main products include steel plates, steel pipes, and steel products. Customers are faced with problems such as high production costs, low production efficiency, and unstable production quality, and hope to optimize production management.

champ consulting services process:

Use cloud computing to store customers' production data in the cloud, and use the parallel computing power of the cloud to quickly process and analyze complex data to improve the efficiency and flexibility of data analysis.

Use systems thinking to view the customer's production process as a system consisting of the interaction of multiple elements, and identify the boundaries, elements, relationships, etc. of the system, and comprehensively analyze the production environment and influencing factors.

Using cloud computing and system thinking to combine analysis, optimize the production process from different angles and levels, and improve production efficiency and quality by adjusting production parameters, improving production processes, and increasing production control.

According to the optimized production process, the corresponding production management suggestions and schemes are put forward for the customers, which helps the customers to realize the production optimization and management.

champ advisory services effect:

According to the suggestions and solutions of Shangpu Consulting, the customer successfully optimized the production process, realized real-time monitoring and analysis of data in production, and improved the level of production management.

Through the services of Shangpu Consulting, customers have reduced production costs, improved production efficiency and quality, enhanced product competitiveness and market share, and achieved profit growth.

5. Conclusion

Industrial market research is an important basis for enterprises to formulate strategies and decisions, but the traditional industrial market research methods have many limitations. With the continuous emergence of new technologies and new ideas, industrial market research is also facing opportunities and challenges for innovation and breakthroughs. This paper discusses the innovation and breakthrough of industrial market research from three aspects: one is to use new technologies such as big data, cloud computing and artificial intelligence to improve the efficiency and quality of data collection and analysis; the other is to use new thinking such as design thinking, system thinking and storytelling to enhance the insight and influence of research; the third is to combine the specific cases of Shangpu consulting service customers, it shows the application and value of innovation and breakthrough of industrial market research in practice. It is hoped that this paper can provide some reference and enlightenment for the development and progress of industrial market research.