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ONTROX
Osaka, Japan
A
1-10 Employees
2010
Key takeaway
ONTROX co., Ltd. specializes in big data analysis, which is essential for effective app analytics. Their expertise in data processing can provide valuable insights into user behavior and app performance.
Reference
Service
Service – Big Data Analysis | ONTROX co.,Ltd.
Emotion Intelligence
Tokyo, Japan
A
1-10 Employees
2011
Key takeaway
Appier, a software-as-a-service company, utilizes artificial intelligence to enhance business decision-making through advanced app analytics. Their CrossX platform enables in-depth analysis of in-app data, allowing for the creation of targeted user profiles and significantly improving conversion rates and engagement for various clients.
Reference
Product
AIRIS - 新一代 AI 驅動的顧客數據平台｜Appier
直覺的可視化數據分析，快速建立 AI 預測模型，以優化行銷投資報酬
Locarise
Tokyo, Japan
A
11-50 Employees
2013
Key takeaway
Locarise provides a comprehensive solution for in-store analytics through its AI-powered insights and the TALLY app, which allows for accurate measurement of visitor actions and the entire customer journey. This focus on data collection and analysis is essential for retailers looking to enhance their app analytics capabilities.
Reference
Product
Locarise | Wi-Fi Marketing Automation - Grow Customer Loyalty
Locarise TALLY Easy to use Tally counter that collects anonymous counting to measure accurate actions.
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Alphaus
Tokyo, Japan
A
11-50 Employees
2015
Key takeaway
Alphaus is recognized as a preferred FinOps solution provider by a significant portion of AWS Premier Partners in Japan, which highlights its credibility and expertise in financial operations, relevant for app analytics. With over 10,000 customers, Alphaus demonstrates a strong user base that values its solutions.
Reference
Core business
About | Alphaus
KPI Solutions
Osaka, Japan
A
1-10 Employees
2006
Key takeaway
The company emphasizes the evolution of marketing in the digital age, highlighting its role as a provider of marketing solutions through advanced technologies like Big Data Analytics and a data management platform (DMP) called AD graph. These tools enable effective data-driven strategies, which are crucial for understanding app analytics and consumer behavior.
Reference
Product
Technology | KPI Solutions
aiQ
Tokyo, Japan
A
11-50 Employees
2018
Key takeaway
The company, aiQ, offers a unique set of alternative data and analytics focused on the Japanese market, utilizing deep learning AI to forecast sales and analyze consumer behavior through geolocation data, point of sales (POS) information, and a large consumer panel. Their insights enable investors to evaluate market trends and sales performance across various industries.
Reference
Core business
Alternative Data in Japan | AiQ Index | 日本
aiQ Index provide a unique set of alternative data for Japan, allowing investors to evaluate firms in ways that were not possible before. Big Data & AI based Geolocation, Point Of Sales (POS), and Consumer Panel insights on Japanese markets for corporate investors
GENIEE
Tokyo, Japan
A
251-500 Employees
2010
Key takeaway
Geniee, Inc. is an ad technology company that enhances application advertisement revenue through its innovative solutions like GenieeSSP for App and GenieeDMP for App. Their proprietary technology not only stabilizes management but also maximizes revenue, making it a top choice for app developers looking to optimize their ad operations.
Reference
Service
Services for App Developers | Geniee,Inc.
Geniee, Inc. is an ad technology company that maximizes customer revenue by using cutting-edge ad technology.
eftax Co. Ltd.
Amagasaki, Japan
A
11-50 Employees
2013
Key takeaway
The company, eftax, emphasizes its data analysis services as a crucial component of its offerings, which enhance the quality and speed of decision-making through the automation of inefficient tasks. They support the construction of a data-driven decision-making framework by analyzing and visualizing accumulated data, making it highly relevant for app analytics.
Reference
Core business
株式会社eftax | データ分析でビジネスを加速、非効率な作業をスマートに | エフタックスは、データ分析の力で意思決定の質とスピードを高め、人がしなくてよいことを極力自動化。蓄積されたデータを紐解き分析・可視化し、データに基づく意志決定を行える体制構築を支援。会計支援サービスと組み合わせたコンサルティングにも対応。
Atlas Associates
Tokyo, Japan
A
11-50 Employees
2019
Key takeaway
Atlas Associates has launched Ignite Messenger, an app that utilizes a user database and digital ID built on blockchain technology, enhancing security and privacy. Their focus on cutting-edge AI and marketing technology positions them as a key player in app innovation.
Reference
Core business
About — Atlas Associates
The MarTech &AI startup in Tokyo, Japan. Leveraging our deep relationships with startups of Silicon Valley and Israel, we have been deploying the global cutting-edge technologies into the Japanese market. Atlas has launched own messsaging app, Ignite Messenger. Aiming to build an ecosystem ce
JATO Japan Ltd
Tokyo, Japan
A
- Employees
-
Key takeaway
JATO Dynamics is a leading global automotive market research company that provides in-depth analysis on market trends and car pricing, making it a valuable resource for businesses seeking insights in the automotive landscape. Their solutions enhance decision-making and sales strategies through effective use of information, particularly in the evolving digital marketplace.
Reference
Core business
JATO Dynamics - Automotive Market Research and Global Automotive Business Intelligence Company
JATO Dynamics is a Global Automotive Market Research Company that provides analysis on Market Trends, Car Pricing and Comparisons. It's the leading Automative Business Intelligence Solution Provider.
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After you analyze your data, you will need to create a real-time dashboard that will help you stay up to date on your operations. With a visualize tool that allow you to talk with the data you can rapidly understand issues to fix them, but you will also find insights that will allow you to accelerate anything successful.
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After you analyze your data, you will need to create a real-time dashboard that will help you stay up to date on your operations. With a visualize tool that allow you to talk with the data you can rapidly understand issues to fix them, but you will also find insights that will allow you to accelerate anything successful.
When exploring the App Analytics industry in Japan, several key considerations come into play. Understanding local regulations is crucial, as Japan has stringent data privacy laws, particularly under the Act on the Protection of Personal Information (APPI). This act mandates transparency in data collection and usage, influencing how companies operate in this space. The competitive landscape is also significant, as Japan's market is dominated by a few major players, but there are ample opportunities for innovative startups focusing on niche markets or specialized analytics solutions. Challenges include navigating the cultural nuances of consumer behavior, which can differ markedly from Western markets, and adapting analytics tools to local preferences. Additionally, the rise of mobile app usage in Japan presents substantial growth potential, particularly in sectors like gaming and e-commerce. Environmental concerns are becoming increasingly relevant, as companies are pressured to adopt sustainable practices in their operations. Lastly, the global market relevance of Japanese app analytics is noteworthy, as insights gained can be applied to similar markets, making expertise in this area valuable for international expansion. Overall, a thorough understanding of these factors will be essential for anyone looking to succeed in the Japanese App Analytics landscape.
Some interesting numbers and facts about your company results for App Analytics
| Country with most fitting companies | Japan |
| Amount of fitting manufacturers | 14 |
| Amount of suitable service providers | 13 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2006 |
| Youngest suiting company | 2019 |
Some interesting questions that has been asked about the results you have just received for App Analytics
What are related technologies to App Analytics?
Based on our calculations related technologies to App Analytics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on App Analytics?
The most represented industries which are working in App Analytics are IT, Software and Services, Other, Marketing Services, Consulting, Finance and Insurance
How does ensun find these App Analytics Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.