We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for prediction.
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prediction Product List and Ranking from 34 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Dec 24, 2025～Jan 20, 2026
This ranking is based on the number of page views on our site.

prediction Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Dec 24, 2025～Jan 20, 2026
This ranking is based on the number of page views on our site.

  1. AI CROSS Tokyo//Information and Communications
  2. パトコア Tokyo//IT/Telecommunications
  3. SCSK デジタルエンジニアリング事業本部 Tokyo//software
  4. 4 ソホビービー Tokyo//IT/Telecommunications
  5. 5 null/null
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prediction Product ranking

Last Updated： Aggregation Period:Dec 24, 2025～Jan 20, 2026
This ranking is based on the number of page views on our site.

  1. AI-based analysis result prediction Neural Concept Shape SCSK デジタルエンジニアリング事業本部
  2. LogP prediction, LogD prediction 'Partitioning' パトコア
  3. Achieving Maximum Profit! Operating Forecast for New Pachinko Machines Utilizing AI ソホビービー
  4. [Technical Information] Prediction of Melting Point by Molecular Dynamics Calculation
  5. 5 pKa prediction, molecular species prediction, isoelectric point prediction 'Protonation' パトコア

prediction Product List

61～75 item / All 83 items

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What is demand forecasting in inventory management? Explanation of benefits, formulas, and the use of AI.

What is demand forecasting in inventory management? Explanation of benefits, formulas, and the use of AI.

You will learn how to improve order accuracy with demand forecasting and reduce unnecessary inventory costs.

Demand forecasting in inventory management is a crucial initiative that significantly affects a company's profitability and customer satisfaction. If demand cannot be accurately assessed, risks such as increased costs due to excess inventory and lost sales opportunities due to stockouts can arise. Conversely, effective demand forecasting can lead to inventory optimization, improved operational efficiency, and even increased sales. This article will clearly explain the basics of demand forecasting in inventory management, representative formulas and methods, as well as the latest initiatives utilizing AI. *For more detailed information, you can view the related links. For further details, please download the PDF or feel free to contact us.*

  • Other operation management software

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FEMFAT weld extension module: Fatigue life prediction of welded joints

FEMFAT weld extension module: Fatigue life prediction of welded joints

Practical element division (shell elements) & evaluation method of SolidWELD

In the development of components that include welded structures, accurately predicting the fatigue life of weld joints has become essential. By utilizing FEMFAT weld, precise fatigue life predictions for weld joints can be achieved. FEMFAT weld offers various functions, including sensitivity analysis to identify critical welding shape parameters and evaluation options compliant with standards such as BS7608 and Eurocode 3. When calculating the fatigue life and safety factors of welded structures, the highly flexible analytical methods implemented in FEMFAT weld allow for simultaneous analysis of shell element models and solid element models. For the evaluation of weld root areas and weld termination points, detailed modeling of the fillet shape of the evaluation area can be performed, eliminating the need for extensive manual work. *For more details, please download the PDF or contact us.*

  • weld 1.png
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  • Structural Analysis

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How to Create Sales Forecasts: Key Points for Utilizing Them in Sales Strategy Planning

How to Create Sales Forecasts: Key Points for Utilizing Them in Sales Strategy Planning

Introducing the importance of forecasting sales in business and methods for calculating it in a column!

In order to respond to the rapid changes in today's business environment, companies must constantly develop new strategic designs. This is also true for sales strategies, where accurately forecasting sales projections allows for an understanding of the current situation and the formulation of appropriate sales strategies. In this article, we will explain the data and forecasting methods necessary for predicting sales projections, as well as key points for utilizing them in the formulation of sales strategies. *For more details on the column, please refer to the related links. For further inquiries, feel free to contact us.

  • Technical and Reference Books
  • SFA/Sales Support System

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Solving the Future Doctor Shortage: Predicting Risks for Diabetes Patients

Solving the Future Doctor Shortage: Predicting Risks for Diabetes Patients

Predicting the risks for diabetes patients! Anyone can evaluate using "expert" knowledge, contributing to the solution of the future "doctor shortage."

We would like to introduce a case of risk prediction for diabetes patients using the AI platform service "HAMPANAI AI," which allows anyone to easily create AI models. At the university, general staff members were responsible for extracting subjects for health guidance, which posed the risk of accountability issues due to incorrect risk assessments. After implementation, AI supported appropriate evaluations from limited information, enabling even those without expertise to make expert-level judgments. [Challenges] - General staff members conducted the extraction of subjects for health guidance. - There was a possibility of accountability issues arising from incorrect risk assessments. - The volume of data from experts was large, and the analysis itself was at a high level. *For more details, please refer to the PDF materials or feel free to contact us.

  • Other information systems

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Quality relevance and lifespan prediction utilizing data mining

Quality relevance and lifespan prediction utilizing data mining

Recommended technical proposal for customers considering the measurement of effects and quality improvement in predictive maintenance and equipment management! Utilizing large-scale data and machine learning as well!

This document explains, based on our company's implementation results and experience, the necessary considerations for threshold examination, which is always a concern when conducting predictive maintenance, as well as what indicators should be used when considering and implementing predictive maintenance. Additionally, we focus on the analysis of causal relationships with quality-related issues, which we have received many inquiries about in recent years, in conjunction with equipment maintenance. When building IoT and predictive maintenance systems, it is essential to start with a system that has a completion level of around 60 to 70 points, rather than aiming for a perfect score of 100 from the beginning, and to gradually improve the system towards the desired state. This document introduces some of the essence of that approach.

  • Business Intelligence and Data Analysis
  • Workflow System
  • Other operation management software

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Reliability life prediction using Weibull analysis

Reliability life prediction using Weibull analysis

Free seminar ongoing! A clear introduction to Weibull analysis.

Weibull analysis is a method that uses the number of failures as input to determine the unreliability. Once the unreliability is known, the failure rate and unreliability can also be determined. Our company regularly holds free seminars on Weibull analysis. We provide clear explanations from the basics of reliability data analysis to an overview of Weibull analysis and representative methods. For more details, please check below. https://www.wavefrontsales.com/teikiseminar/weibull/

  • Other electronic parts
  • Other Auto Parts

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Latest Trends and Future Predictions of Generative AI in Manufacturing Industry <Demo Available>

Latest Trends and Future Predictions of Generative AI in Manufacturing Industry <Demo Available>

2024 Edition! An explanation of how generative AI is bringing innovation to the manufacturing industry.

Have you ever thought about how the manufacturing industry will change due to generative AI? Right now, various technological revolutions, including generative AI, are bringing significant changes to business around us. In particular, if we seek to improve the efficiency of manufacturing processes, reduce costs, and enhance quality, utilizing generative AI is an unavoidable path. We continue to explore solutions to the various challenges we face in our daily operations. This article will delve into the innovations that generative AI is bringing to the manufacturing industry and how it will change us in the coming years. *For more details about the blog, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

  • Software (middle, driver, security, etc.)

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2023 Edition: Forecast of the Automotive Industry in 2040

2023 Edition: Forecast of the Automotive Industry in 2040

Changes in the environment surrounding the automotive industry and demand forecasts, globalization of the automotive industry, electrification, and forecasts for the spread of electric vehicles and technological trends.

The latest edition (2025 version) has been published! https://pr.mono.ipros.com/dri/product/detail/2001092777/ This research report summarizes the results of a survey conducted in collaboration with our company, universities, and professionals from research institutions regarding the changes in the automotive industry's environment leading up to 2040, forecasts for future demand for automobiles, globalization, the trend towards electronics, and the anticipated spread of electric vehicles and technological trends. 【Key Points】 ■ The environment surrounding the automotive industry ■ Demand forecasts for automobiles until 2040 ■ Directions and perspectives of car manufacturers and parts manufacturers towards 2040 ■ Future predictions for electric vehicles, plug-in hybrid vehicles, fuel cell vehicles, and other electrified vehicles ■ Technological trends centered on car electronics and autonomous driving systems ■ Trends in global strategic vehicles among various car manufacturers

  • Other Auto Parts

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2025 Edition: Forecast of the Automotive Industry in 2050

2025 Edition: Forecast of the Automotive Industry in 2050

Changes in the environment surrounding the automotive industry by 2050 and future demand forecasts for automobiles.

This research report summarizes the changes in the environment surrounding the automotive industry up to 2050, forecasts for future demand for automobiles, globalization of the automotive industry, the trend towards electronics, predictions for the proliferation of electric vehicles, and technological trends. It is based on research conducted by Sogo Giken Co., Ltd., a market research company specializing in the automotive sector, in collaboration with professionals from universities and research institutions. 【Research Items】 1. Environment surrounding the automotive industry 2. Current status and forecasts of automobile production numbers 3. Automotive markets in Japan, the United States, Europe, Asia, etc. 4. Current status and forecasts of Japan's automobile export numbers 5. Forecasts for the number of vehicles owned 6. Vehicle composition forecast for 2050 7. Forecasts for various equipment 8. Trends and developments of car manufacturers 9. Technological innovations 10. Materials 11. Trends in SDV (Software-Defined Vehicle) development 【Research Targets】 - General car manufacturers - Major automotive parts manufacturers - Major overseas manufacturers - Government agencies and related research institutions Report details: https://www.dri.co.jp/auto/report/sg/sgautoind.html

  • Other Auto Parts

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2025 Edition: Current Status and Future Predictions of Autonomous Driving Systems

2025 Edition: Current Status and Future Predictions of Autonomous Driving Systems

A research report summarizing market forecasts for self-driving systems, which will attract even more attention in the future, and the development trends of related companies.

The autonomous driving system refers to vehicles that can operate automatically without human driving, having developed as one of the Advanced Driver Assistance Systems (ADAS). Autonomous vehicles can recognize their surrounding environment using radar, LIDAR, GPS, and cameras, and can drive autonomously simply by specifying a destination. The commercialization and widespread adoption of autonomous vehicles are expected to lead to a reduction in accidents, decreased traffic congestion, and lower CO2 emissions. In the automotive industry, four key areas are attracting attention: autonomous driving, electrification, connectivity, and sharing (CASE), with autonomous driving considered the biggest wave likely to trigger a restructuring of the industry. 【Survey Items】 I. Global trends in the autonomous driving system market (passenger cars/commercial vehicles) II. Market trends for autonomous driving-related components III. Movements in related industries surrounding autonomous driving systems IV. Plans for market introduction of autonomous vehicles and development concepts V. Market trends for autonomous driving kits, modified vehicles, and robot taxis VI. Trends among domestic and international car manufacturers VII. Trends among companies developing autonomous driving kits VIII. Trends among domestic and international parts and semiconductor manufacturers Report details: https://www.dri.co.jp/auto/report/sg/sgautonomous.html

  • Other Auto Parts
  • others

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[English Research Report] 5-Year Forecast for Campus Ethernet Switches

[English Research Report] 5-Year Forecast for Campus Ethernet Switches

Provides a complete overview of Ethernet switches built and optimized for deployment outside of data centers.

The Dell’Oro Group's "Campus Ethernet Switch 5-Year Forecast Report" provides a comprehensive overview of the 5-year forecast and market trends for campus Ethernet switches. The forecast includes manufacturer revenue by technology, port shipment numbers, and average selling prices. By technology: Modular and fixed, by port speed (integrated/separate) Fixed managed/unmanaged: by port speed (integrated/separate) PoE (Power Over Ethernet) By port speed: 100 Mbps/1/2.5/5/10/25/40/50/100/200/400 Gbps Ethernet switch market - regional campus (manufacturer revenue only) North America, EMEA (Europe, Middle East, Africa), APAC (Asia-Pacific), APAC excluding China, China, CALA (Caribbean and Latin America)

  • others

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[English Research Report] 5-Year Forecast for Mobile Core Networks and MEC

[English Research Report] 5-Year Forecast for Mobile Core Networks and MEC

Providing market trends for non-NFV and NFV network functions, including revenue, licenses, average selling prices, and regional forecasts for various network functions.

The "Five-Year Forecast Report on Mobile Core Networks and Multi-Access Edge Computing" by the U.S. research firm Deloro Group investigates the mobile core network market and provides a comprehensive overview of market trends by the implementation of network functions (non-NFV and NFV), including revenue, licenses, average selling prices, and regional forecasts for various network functions. Target Market: - 4G/5G Packet Core Controllers - 4G/5G Packet Core Gateways - 4G/5G Policy - 4G/5G Subscriber Data Management - IMS Core By Region: Sales and Number of Shipment Licenses North America, EMEA, Asia-Pacific, China, CALA

  • others

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[English Research Report] Predictions for Microwave Transmission and Mobile Backhaul

[English Research Report] Predictions for Microwave Transmission and Mobile Backhaul

The mobile backhaul transmission market is expected to reach $24.5 billion in the next five years.

The "5-Year Forecast Report on Microwave Transmission and Mobile Backhaul" by Dell’Oro Group provides comprehensive and detailed information in a table covering manufacturers' revenues, wireless transceivers, and average selling prices. This report tracks front haul and mobile backhaul by cell type (macro and small cell) and technology (wireless and fiber/copper), and the microwave transmission section forecasts point-to-point TDM, packet, hybrid microwave, as well as complete indoor and complete outdoor unit configurations.

  • others

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Global Piston Ring Aftermarket - 2031 Forecast

Global Piston Ring Aftermarket - 2031 Forecast

It is predicted to grow from 2.5 billion dollars in 2024 to 3.7 billion dollars in 2031, with a compound annual growth rate (CAGR) of 5.8%.

Fairfield Market Research is a research company that publishes highly relevant market data and insightful detailed reports. The driving force behind the growth of the aftermarket is the increasing need for vehicle repair and maintenance due to vehicle aging and extended lifespans. Technological advancements in piston ring materials, such as ceramic composites and steel alloys, enhance durability and efficiency. A robust distribution network, including e-commerce platforms, ensures the global easy availability of aftermarket products and promotes market expansion. This report provides a detailed analysis of the global piston ring aftermarket. It analyzes the market by ring type, material, engine type, and region, and also discusses the strategies and challenges of key market players in detail.

  • Other Auto Parts

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One-button easy operation for category AI prediction! "Easy AI Development"

One-button easy operation for category AI prediction! "Easy AI Development"

With a simple one-button operation, category AI predictions such as customer analysis and failure prediction are possible!

By learning the causal relationships between various past conditions and outcomes, AI can simulate results under any conditions. This can be particularly useful in areas such as customer analysis and failure prediction. "Easy AI Development" 1. Develop a dedicated AI app for your company By developing based on AI app templates and focusing only on the necessary features, we achieve a low price by eliminating waste. We can also flexibly respond to system integration and feature expansion. 2. Propose optimal AI utilization methods AI experts will listen to your challenges and objectives, and propose the most suitable AI tools and business improvement plans. You can feel free to consult with us even if you don't have a specific utilization image in mind. 3. Clear cost structure and start at a low price We have a clear cost structure for each function, allowing for a small start from 100,000 yen. By gradually expanding functions according to usage, we can proceed with implementation while reducing risks. [Service Site] https://career-survival.com/kantan-ai/

  • Business Intelligence and Data Analysis

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