首頁 > 市場調查報告書 > 通訊

巨量資料商業智慧

市場調查報告書

商品編碼

2008715

行動商業智慧(BI) 市場報告：按解決方案、部署模式、企業規模、應用、最終用戶產業和地區分類，2026-2034 年

Mobile Business Intelligence Market Report by Solution, Deployment Mode, Enterprise Size, Application, End User Vertical, and Region 2026-2034

出版日期: 2026年04月01日 | 出版商:

IMARC | 英文 137 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

2025年，全球行動商業智慧（BI）市場規模達182億美元。展望未來，IMARC Group預測，到2034年，該市場規模將達到591億美元，2026年至2034年的複合年成長率（CAGR）為13.54%。推動全球市場成長的主要因素包括：對即時資料存取需求的不斷成長、遠端辦公的普及、人工智慧和機器學習技術的進步、資料量的激增、雲端解決方案的廣泛應用、日益嚴格的資料安全要求以及與現有業務系統無縫整合的需求。

行動BI市場的發展趨勢：

行動工作者的興起和遠距辦公的發展趨勢

行動工作者的興起和遠距辦公的普及是行動商業智慧 (BI) 市場的主要驅動力。隨著越來越多的企業採用靈活的工作方式，對可透過行動裝置存取的即時數據分析工具的需求也日益成長。行動 BI 解決方案可讓員工隨時隨地存取關鍵業務資訊並進行資料分析，從而無論身處何地都能改善決策流程並提高工作效率。這種對遠距辦公環境的適應性能夠應對不斷變化的職場環境，從而提高效率並實現快速回應。將行動 BI 整合到業務流程中，既滿足了精通技術的員工的需求，又在各個行業中培養了數據驅動的決策文化。

人工智慧和機器學習的進展

將人工智慧 (AI) 和機器學習 (ML) 整合到行動商業智慧 (BI) 工具中是推動市場發展的關鍵因素。這些技術透過實現更高階的數據分析、預測分析和個人化數據洞察，增強了行動 BI 應用的功能。 AI 和 ML 演算法能夠比傳統方法更有效率地處理大量數據，從而提供更深入的洞察和更準確的預測。這項技術進步使企業能夠更有效地利用其數據資產，進而改善商務策略並獲得競爭優勢。此外，AI 驅動的行動 BI 應用可以自動執行日常數據分析任務，從而節省時間和資源，使員工能夠專注於更具策略性的工作。

數據量和數據多樣性增加

企業產生的資料量和數據種類快速成長，是全球市場發展的關鍵驅動力。隨著數位交易、社群媒體互動和物聯網設備的普及，企業正在累積大量多樣化數據。行動商業智慧 (BI) 工具提供了一個平台，用於有效管理、分析和視覺化這些數據，使企業能夠從中獲得可執行的洞察。決策者無論身處何地，都能透過行動裝置存取和解讀這些數據，從而快速回應並獲取最新資訊。這一趨勢凸顯了對功能強大的行動 BI 解決方案的需求，這些解決方案能夠處理大規模資料集，並提供全面的分析功能，以支援資料驅動的決策流程。

The global mobile business intelligence market size reached USD 18.2 Billion in 2025. Looking forward, IMARC Group expects the market to reach USD 59.1 Billion by 2034, exhibiting a growth rate (CAGR) of 13.54 % during 2026-2034. The global market is primarily driven by the rising demand for real-time data access, the growth of remote work, advancements in AI and machine learning, an increase in data volume, the adoption of cloud-based solutions, stringent data security needs, and the necessity for seamless integration with existing business systems.

MOBILE BUSINESS INTELLIGENCE MARKET ANALYSIS:

Market Growth and Size: The market is experiencing significant growth, driven by the increasing demand for real-time data access and decision-making capabilities. With the expansion of the mobile workforce and advancements in technology, the market is expected to continue its upward trajectory, offering substantial opportunities for both existing players and new entrants.
Major Market Drivers: Key drivers include the rising trend of remote work and the growing need for on-the-go data analysis, advancements in AI and machine learning enhancing BI capabilities, and the escalating volume and variety of business data. Additionally, the demand for improved user experiences and the adoption of cloud-based solutions contribute to the market's expansion.
Technological Advancements: Innovations in AI and machine learning are revolutionizing Mobile BI, offering sophisticated data analysis, predictive analytics, and personalized insights. Cloud computing is also playing a crucial role, providing scalable and cost-effective BI solutions, while enhancements in user interface design are making these tools more accessible to a wider audience.
Industry Applications: Mobile BI is seeing widespread application across various industries, with significant adoption in sectors, including BFSI, healthcare, retail, and government. These tools are used for diverse purposes including customer engagement analysis, predictive asset maintenance, risk and compliance management, and supply chain optimization.
Key Market Trends: The market is witnessing trends, such as increasing adoption of cloud-based mobile BI solutions, a focus on enhanced security and compliance features, and the integration of mobile BI with other business systems for comprehensive analytics. The move towards real-time data analysis and the democratization of data across organizational hierarchies are also notable trends.
Geographical Trends: North America leads the market, attributed to its advanced technological infrastructure and strong corporate sector. Asia Pacific is rapidly growing due to digitalization and expanding SMEs, while Europe maintains steady growth with an emphasis on data security and regulatory compliance. Latin America and the Middle East & Africa are emerging as potential markets with increasing digital adoption.
Competitive Landscape: The market features a mix of established players and emerging challengers, with key players focusing on strategic collaborations, technological innovations, and expanding service offerings. The competitive landscape is characterized by efforts to integrate advanced technologies, improve user interfaces, and offer scalable, cloud-based solutions.
Challenges and Opportunities: Business Intelligence market is the adoption barrier among businesses unfamiliar with BI technology, particularly small and medium-sized enterprises. Additionally, there exists a skill gap in effectively utilizing advanced BI tools, requiring ongoing training and education. Addressing these challenges offers opportunities for BI providers to develop more intuitive, easy-to-use interfaces and comprehensive training programs, facilitating smoother adoption and better utilization of BI tools across various business sectors.

MOBILE BUSINESS INTELLIGENCE MARKET TRENDS:

Increasing mobile workforce and remote work trends

The expansion of the mobile workforce and the growing trend of remote work are significant drivers of the mobile BI market. As more organizations adopt flexible working models, there is an escalating need for mobile-accessible, real-time data analytics tools. Mobile BI solutions enable employees to access critical business information and perform data analysis on-the-go, enhancing decision-making processes and productivity irrespective of location. This adaptability to remote work environments addresses the changing workplace dynamics, promoting efficiency and responsiveness. The integration of mobile BI into business processes caters to the demands of a technologically adept workforce, fostering a culture of data-driven decision-making across various industries.

Advancements in AI and Machine Learning

The incorporation of artificial intelligence (AI) and machine learning (ML) in mobile BI tools is a key factor propelling the market. These technologies enhance the capabilities of mobile BI applications by enabling more sophisticated data analysis, predictive analytics, and personalized data insights. AI and ML algorithms can process vast amounts of data more efficiently than traditional methods, offering deeper insights and more accurate forecasts. This technological progression allows businesses to leverage their data assets more effectively, leading to improved business strategies and competitive advantage. Furthermore, AI-driven mobile BI applications can automate routine data analysis tasks, saving time and resources while allowing employees to focus on more strategic activities.

Rise in data volume and variety

The exponential growth in the volume and variety of data being generated by businesses is a crucial driver of the global market. With the proliferation of digital transactions, social media interactions, and IoT devices, organizations are amassing vast amounts of diverse data. Mobile BI tools provide a platform for effectively managing, analyzing, and visualizing this data, enabling businesses to glean actionable insights. The ability to access and interpret this data through mobile devices ensures that decision-makers can remain informed and agile, regardless of their location. This trend underscores the necessity for robust mobile BI solutions capable of handling large data sets and offering comprehensive analytical capabilities to support data-driven decision-making processes.

MOBILE BUSINESS INTELLIGENCE INDUSTRY SEGMENTATION:

Breakup by Solution:

Software
Service

The software segment (BI) encompasses a range of applications and platforms designed for data analysis, visualization, and reporting on mobile devices. This segment includes standalone mobile BI applications, as well as mobile-optimized versions of comprehensive BI software suites. The key offerings in this segment are characterized by their ability to facilitate real-time data access, interactive dashboards, and advanced analytics capabilities, such as predictive modeling and data mining, tailored for mobile interfaces. The software is often distinguished by its user-friendly design, catering to non-technical users, and its integration capabilities with various data sources and business systems.

On the contrary, the service segment includes a broad array of support, maintenance, and consulting services. These services are crucial for the effective implementation, operation, and optimization of mobile BI solutions. Support and maintenance services ensure that mobile BI applications remain functional, up-to-date, and secure, addressing technical issues and software updates. Consulting services play a pivotal role in helping organizations align their mobile BI strategy with their overall business objectives, assisting in areas such as system integration, customization, and training.

Breakup by Deployment Mode:

On-premises
Cloud-based

The on-premises deployment segment refers to BI solutions that are installed and run on the client's own hardware and infrastructure. This segment attracts organizations that prefer full control over their BI systems for reasons such as data sensitivity, compliance with specific regulatory standards, or integration with existing on-site technology. On-premises mobile BI solutions are often chosen by businesses with substantial IT resources and a need for high levels of customization and security. Although this model involves higher upfront costs due to hardware and software investments, and ongoing maintenance expenses, it offers organizations the autonomy to manage and secure their data internally, which is particularly important for those handling highly confidential or proprietary information.

On the other hand, the cloud-based deployment segment in the market has gained substantial traction due to its scalability, cost-effectiveness, and ease of implementation. In this model, the BI software is hosted on the vendor's servers and accessed by clients through the internet. This segment appeals to organizations seeking a flexible, low-maintenance solution with minimal upfront investment.

Breakup by Enterprise Size:

Small and Medium-sized Enterprises
Large Enterprises

In the market, the segment catering to small and medium-sized enterprises is characterized by solutions that are cost-effective, easy to deploy, and require minimal IT infrastructure. SMEs typically seek mobile BI tools that offer scalability to grow with their business and intuitive interfaces for users with varying levels of technical expertise. This segment is increasingly adopting cloud-based BI solutions, which provide the benefits of advanced analytics without the need for significant capital investment in hardware and software. The focus for SMEs is on solutions that can enhance decision-making, optimize operations, and provide competitive insights, all within a budget-friendly and flexible framework.

On the other hand, the segment of large enterprises in the market demands robust, comprehensive BI solutions capable of handling large volumes of data and integrating with a wide range of existing IT systems. These organizations often have complex data environments and require advanced analytics, data security, and customization capabilities. Large enterprises are more likely to opt for on-premises deployments due to their specific security and compliance requirements, although many are also adopting hybrid models to leverage the flexibility of the cloud.

Breakup by Application:

Fraud and Security Management
Sales and Marketing Management (Customer Engagement and Analysis)
Predictive Asset Maintenance
Risk and Compliance Management
Supply Chain Management and Operations
Others

Sales and marketing management exhibits a clear dominance in the market

Sales and marketing management segment, being the largest in the market, revolves around tools that enhance customer engagement and provide deep insights into marketing effectiveness. These mobile BI solutions offer capabilities such as customer segmentation, campaign analysis, consumer behavior tracking, and sales forecasting. They are invaluable for tailoring marketing strategies, optimizing sales processes, and understanding customer preferences in real-time. By leveraging data from various touchpoints, these tools help in crafting personalized marketing messages and improving customer experiences.

On the other hand, the fraud and security management segment focuses on providing solutions that help organizations in detecting, analyzing, and preventing fraudulent activities and security breaches. These mobile BI tools leverage advanced analytics, pattern recognition, and anomaly detection algorithms to identify unusual behavior or transactions indicative of fraud or security threats. This segment is critical for industries such as finance, healthcare, and e-commerce, where safeguarding data and financial transactions is paramount.

Moreover, the predictive asset maintenance segment in the Mobile BI market is focused on utilizing data analytics for predicting equipment failures and scheduling maintenance to prevent downtime. These solutions are particularly relevant in manufacturing, transportation, and utility sectors where equipment health is crucial. By analyzing data from IoT devices and sensors, mobile BI tools in this segment can identify patterns and anomalies that precede equipment failure, enabling proactive maintenance.

Additionally, in risk and compliance management segment, Mobile BI tools are used to manage organizational risk and ensure compliance with various regulatory standards. These solutions help in identifying, assessing, and mitigating risks across different business processes. They are essential in industries, such as finance, healthcare, and legal where compliance with regulatory frameworks is critical.

Besides this, in the supply chain management and operations segment, mobile BI tools play a pivotal role in optimizing logistics, inventory management, and operational efficiency. These solutions offer real-time insights into supply chain dynamics, enabling businesses to respond swiftly to market changes, manage inventory levels effectively, and enhance overall operational agility.

Breakup by End User Vertical:

BFSI
IT and Telecommunications
Healthcare
Retail
Government
Manufacturing
Others

BFSI dominates the market

The BFSI segment, holding the largest share in market, leverages these solutions for risk management, customer analytics, fraud detection, and regulatory compliance. Mobile BI tools enable financial institutions to access real-time data for making informed decisions, managing financial risks, and enhancing customer experiences. They also play a crucial role in analyzing large volumes of transactional data for insights into customer behavior, market trends, and operational efficiency. The need for stringent compliance with financial regulations further drives the adoption of mobile BI in this sector, ensuring that institutions can swiftly adapt to changing regulatory landscapes.

On the other hand, in the IT and Telecommunications sector, Mobile BI is essential for managing vast data networks, customer relationship management, and optimizing service delivery. These tools help in analyzing data related to network performance, customer usage patterns, and service quality. The insights gained are crucial for decision-making in network expansion, targeted marketing, and improving customer satisfaction.

Additionally, the healthcare sector utilizes Mobile BI for improving patient care, operational efficiency, and managing healthcare costs. These tools assist in analyzing patient data, optimizing treatment plans, and resource management. Hospitals and healthcare providers leverage mobile BI to track patient outcomes, monitor healthcare services, and ensure compliance with regulatory standards. The real-time data access provided by mobile BI is invaluable in emergency situations, where immediate decision-making can be lifesaving.

Furthermore, in the retail industry, mobile BI tools are employed for customer behavior analysis, inventory management, and sales optimization. Retailers use these tools to track consumer preferences, manage supply chains, and personalize marketing strategies. Mobile BI in retail helps in understanding purchasing patterns, optimizing stock levels, and enhancing customer experiences both in-store and online.

Besides this, government agencies use mobile BI for better service delivery, policymaking, and resource management. These tools assist in analyzing public data, managing government operations, and improving transparency and accountability. Mobile BI supports data-driven decision-making in areas such as public safety, urban planning, and environmental management, contributing to more effective and efficient government administration.

Breakup by Region:

North America
- United States
- Canada
Asia-Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Others
Europe
- Germany
- France
- United Kingdom
- Italy
- Spain
- Russia
- Others
Latin America
- Brazil
- Mexico
- Others
Middle East and Africa

North America leads the market, accounting for the largest mobile business intelligence market share

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

As the largest regional segment in market, North America demonstrates a strong adoption of mobile BI solutions, driven by advanced technological infrastructure, the presence of key market players, and a robust corporate sector seeking competitive advantages through data analytics. The region, particularly the United States and Canada, has witnessed significant growth in mobile BI owing to the widespread acceptance of cloud computing, big data technologies, and a growing emphasis on data-driven decision-making in sectors like healthcare, retail, and finance.

On the other hand, the Asia Pacific region is experiencing rapid growth in the market, fueled by the increasing adoption of mobile technologies, expanding digitalization, and the changing corporate landscape, especially in emerging economies. The region's focus on improving operational efficiencies and the growing SME sector contribute significantly to the demand for mobile BI solutions. Moreover, government initiatives towards digital transformation and the burgeoning e-commerce industry are key drivers of the mobile BI market in Asia Pacific.

Furthermore, Europe's market is characterized by high adoption rates in developed economies such as Germany, the UK, and France, driven by the region's strong emphasis on data privacy and security, coupled with a mature IT infrastructure. The market is bolstered by stringent regulatory compliances, such as GDPR, necessitating advanced BI solutions for data management and analytics. Additionally, the increasing trend of digital transformation across various industries, including manufacturing and healthcare, is fueling the demand for mobile BI solutions in Europe.

Also, In Latin America, the market is growing steadily, influenced by the digital transformation initiatives in various countries. This growth is further supported by the increasing penetration of smartphones and the internet, as well as the rising adoption of cloud-based solutions in the region. Businesses in Latin America are increasingly recognizing the importance of data analytics for competitive advantage, driving the demand for mobile BI tools in sectors such as retail, manufacturing, and finance.

Additionally, the market in the Middle East and Africa is gradually gaining traction, with growth influenced by the increasing adoption of mobile technologies and digital transformation in key economies such as Saudi Arabia, UAE, and South Africa. The region is witnessing a growing interest in advanced analytics solutions among large enterprises and government sectors, aiming to enhance operational efficiencies and support data-driven decision-making.

LEADING KEY PLAYERS IN THE MOBILE BUSINESS INTELLIGENCE INDUSTRY:

Key players in the market are actively engaging in strategic collaborations, technological innovation, and expanding their service offerings to strengthen their market position. These companies are focusing on integrating advanced technologies, such as AI and machine learning into their BI solutions to enhance data analysis capabilities and predictive analytics. They are also investing in research and development to improve user interface and experience, catering to the growing demand for user-friendly and accessible BI tools. Additionally, mergers and acquisitions are common strategies employed to expand market reach and diversify product portfolios. These players are also emphasizing cloud-based mobile BI solutions to meet the needs of a diverse client base, ranging from small enterprises to large corporations, ensuring scalability and flexibility in their offerings.

The market research report has provided a comprehensive analysis of the competitive landscape. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

Domo, Inc.
International Business Machines Corporation
Microsoft Corporation
Oracle Corporation
QlikTech International AB
Salesforce, Inc.
SAP SE
SAS Institute Inc.
Strategy
Yellowfin BI (Idera Inc.)
Zoho Corporation Pvt. Ltd.

Key Questions Answered in This Report

1.What was the size of the global mobile business intelligence market in 2025?
2.What is the expected growth rate of the global mobile business intelligence market during 2026-2034?
3.What are the key factors driving the global mobile business intelligence market?
4.What has been the impact of COVID-19 on the global mobile business intelligence market?
5.What is the breakup of the global mobile business intelligence market based on the application?
6.What is the breakup of the global mobile business intelligence market based on the end user vertical?
7.What are the key regions in the global mobile business intelligence market?
8.Who are the key players/companies in the global mobile business intelligence market?

1 Preface

2 Scope and Methodology

2.1 Objectives of the Study
2.2 Stakeholders
2.3 Data Sources
- 2.3.1 Primary Sources
- 2.3.2 Secondary Sources
2.4 Market Estimation
- 2.4.1 Bottom-Up Approach
- 2.4.2 Top-Down Approach
2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

4.1 Overview
4.2 Key Industry Trends

5 Global Mobile Business Intelligence Market

5.1 Market Overview
5.2 Market Performance
5.3 Impact of COVID-19
5.4 Market Forecast

6 Market Breakup by Solution

6.1 Software
- 6.1.1 Market Trends
- 6.1.2 Market Forecast
6.2 Service
- 6.2.1 Market Trends
- 6.2.2 Market Forecast

7 Market Breakup by Deployment Mode

7.1 On-premises
- 7.1.1 Market Trends
- 7.1.2 Market Forecast
7.2 Cloud-based
- 7.2.1 Market Trends
- 7.2.2 Market Forecast

8 Market Breakup by Enterprise Size

8.1 Small and Medium-sized Enterprises
- 8.1.1 Market Trends
- 8.1.2 Market Forecast
8.2 Large Enterprises
- 8.2.1 Market Trends
- 8.2.2 Market Forecast

9 Market Breakup by Application

9.1 Fraud and Security Management
- 9.1.1 Market Trends
- 9.1.2 Market Forecast
9.2 Sales and Marketing Management (Customer Engagement and Analysis)
- 9.2.1 Market Trends
- 9.2.2 Market Forecast
9.3 Predictive Asset Maintenance
- 9.3.1 Market Trends
- 9.3.2 Market Forecast
9.4 Risk and Compliance Management
- 9.4.1 Market Trends
- 9.4.2 Market Forecast
9.5 Supply Chain Management and Operations
- 9.5.1 Market Trends
- 9.5.2 Market Forecast
9.6 Others
- 9.6.1 Market Trends
- 9.6.2 Market Forecast

10 Market Breakup by End User Vertical

10.1 BFSI
- 10.1.1 Market Trends
- 10.1.2 Market Forecast
10.2 IT and Telecommunications
- 10.2.1 Market Trends
- 10.2.2 Market Forecast
10.3 Healthcare
- 10.3.1 Market Trends
- 10.3.2 Market Forecast
10.4 Retail
- 10.4.1 Market Trends
- 10.4.2 Market Forecast
10.5 Government
- 10.5.1 Market Trends
- 10.5.2 Market Forecast
10.6 Manufacturing
- 10.6.1 Market Trends
- 10.6.2 Market Forecast
10.7 Others
- 10.7.1 Market Trends
- 10.7.2 Market Forecast

11 Market Breakup by Region

11.1 North America
- 11.1.1 United States
  - 11.1.1.1 Market Trends
  - 11.1.1.2 Market Forecast
- 11.1.2 Canada
  - 11.1.2.1 Market Trends
  - 11.1.2.2 Market Forecast
11.2 Asia-Pacific
- 11.2.1 China
  - 11.2.1.1 Market Trends
  - 11.2.1.2 Market Forecast
- 11.2.2 Japan
  - 11.2.2.1 Market Trends
  - 11.2.2.2 Market Forecast
- 11.2.3 India
  - 11.2.3.1 Market Trends
  - 11.2.3.2 Market Forecast
- 11.2.4 South Korea
  - 11.2.4.1 Market Trends
  - 11.2.4.2 Market Forecast
- 11.2.5 Australia
  - 11.2.5.1 Market Trends
  - 11.2.5.2 Market Forecast
- 11.2.6 Indonesia
  - 11.2.6.1 Market Trends
  - 11.2.6.2 Market Forecast
- 11.2.7 Others
  - 11.2.7.1 Market Trends
  - 11.2.7.2 Market Forecast
11.3 Europe
- 11.3.1 Germany
  - 11.3.1.1 Market Trends
  - 11.3.1.2 Market Forecast
- 11.3.2 France
  - 11.3.2.1 Market Trends
  - 11.3.2.2 Market Forecast
- 11.3.3 United Kingdom
  - 11.3.3.1 Market Trends
  - 11.3.3.2 Market Forecast
- 11.3.4 Italy
  - 11.3.4.1 Market Trends
  - 11.3.4.2 Market Forecast
- 11.3.5 Spain
  - 11.3.5.1 Market Trends
  - 11.3.5.2 Market Forecast
- 11.3.6 Russia
  - 11.3.6.1 Market Trends
  - 11.3.6.2 Market Forecast
- 11.3.7 Others
  - 11.3.7.1 Market Trends
  - 11.3.7.2 Market Forecast
11.4 Latin America
- 11.4.1 Brazil
  - 11.4.1.1 Market Trends
  - 11.4.1.2 Market Forecast
- 11.4.2 Mexico
  - 11.4.2.1 Market Trends
  - 11.4.2.2 Market Forecast
- 11.4.3 Others
  - 11.4.3.1 Market Trends
  - 11.4.3.2 Market Forecast
11.5 Middle East and Africa
- 11.5.1 Market Trends
- 11.5.2 Market Breakup by Country
- 11.5.3 Market Forecast

12 SWOT Analysis

12.1 Overview
12.2 Strengths
12.3 Weaknesses
12.4 Opportunities
12.5 Threats

13 Value Chain Analysis

14 Porters Five Forces Analysis

14.1 Overview
14.2 Bargaining Power of Buyers
14.3 Bargaining Power of Suppliers
14.4 Degree of Competition
14.5 Threat of New Entrants
14.6 Threat of Substitutes

15 Price Analysis

16 Competitive Landscape

16.1 Market Structure
16.2 Key Players
16.3 Profiles of Key Players
- 16.3.1 Domo, Inc.
  - 16.3.1.1 Company Overview
  - 16.3.1.2 Product Portfolio
  - 16.3.1.3 Financials
  - 16.3.1.4 SWOT Analysis
- 16.3.2 International Business Machines Corporation
  - 16.3.2.1 Company Overview
  - 16.3.2.2 Product Portfolio
  - 16.3.2.3 Financials
  - 16.3.2.4 SWOT Analysis
- 16.3.3 Microsoft Corporation
  - 16.3.3.1 Company Overview
  - 16.3.3.2 Product Portfolio
  - 16.3.3.3 Financials
  - 16.3.3.4 SWOT Analysis
- 16.3.4 Oracle Corporation
  - 16.3.4.1 Company Overview
  - 16.3.4.2 Product Portfolio
  - 16.3.4.3 Financials
  - 16.3.4.4 SWOT Analysis
- 16.3.5 QlikTech International AB
  - 16.3.5.1 Company Overview
  - 16.3.5.2 Product Portfolio
- 16.3.6 Salesforce, Inc.
  - 16.3.6.1 Company Overview
  - 16.3.6.2 Product Portfolio
  - 16.3.6.3 Financials
  - 16.3.6.4 SWOT Analysis
- 16.3.7 SAP SE
  - 16.3.7.1 Company Overview
  - 16.3.7.2 Product Portfolio
  - 16.3.7.3 Financials
  - 16.3.7.4 SWOT Analysis
- 16.3.8 SAS Institute Inc.
  - 16.3.8.1 Company Overview
  - 16.3.8.2 Product Portfolio
  - 16.3.8.4 SWOT Analysis
- 16.3.9 Strategy
  - 16.3.9.1 Company Overview
  - 16.3.9.2 Product Portfolio
  - 16.3.9.3 Financials
  - 16.3.9.4 SWOT Analysis
- 16.3.10 Yellowfin BI (Idera Inc.)
  - 16.3.10.1 Company Overview
  - 16.3.10.2 Product Portfolio
- 16.3.11 Zoho Corporation Pvt. Ltd.
  - 16.3.11.1 Company Overview
  - 16.3.11.2 Product Portfolio

簡介目錄圖表

List of Figures

Figure 1: Global: Mobile Business Intelligence Market: Sales Value (in Billion USD), 2020-2025
Figure 2: Global: Mobile Business Intelligence Market Forecast: Sales Value (in Billion USD), 2026-2034
Figure 3: Global: Mobile Business Intelligence Market: Breakup by Solution (in %), 2025
Figure 4: Global: Mobile Business Intelligence Market: Breakup by Deployment Mode (in %), 2025
Figure 5: Global: Mobile Business Intelligence Market: Breakup by Enterprise Size (in %), 2025
Figure 6: Global: Mobile Business Intelligence Market: Breakup by Application (in %), 2025
Figure 7: Global: Mobile Business Intelligence Market: Breakup by End User Vertical (in %), 2025
Figure 8: Global: Mobile Business Intelligence Market: Breakup by Region (in %), 2025
Figure 9: Global: Mobile Business Intelligence (Software) Market: Sales Value (in Million USD), 2020 & 2025
Figure 10: Global: Mobile Business Intelligence (Software) Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 11: Global: Mobile Business Intelligence (Service) Market: Sales Value (in Million USD), 2020 & 2025
Figure 12: Global: Mobile Business Intelligence (Service) Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 13: Global: Mobile Business Intelligence (On-premises) Market: Sales Value (in Million USD), 2020 & 2025
Figure 14: Global: Mobile Business Intelligence (On-premises) Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 15: Global: Mobile Business Intelligence (Cloud-based) Market: Sales Value (in Million USD), 2020 & 2025
Figure 16: Global: Mobile Business Intelligence (Cloud-based) Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 17: Global: Mobile Business Intelligence (Small and Medium-sized Enterprises) Market: Sales Value (in Million USD), 2020 & 2025
Figure 18: Global: Mobile Business Intelligence (Small and Medium-sized Enterprises) Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 19: Global: Mobile Business Intelligence (Large Enterprises) Market: Sales Value (in Million USD), 2020 & 2025
Figure 20: Global: Mobile Business Intelligence (Large Enterprises) Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 21: Global: Mobile Business Intelligence (Fraud and Security Management) Market: Sales Value (in Million USD), 2020 & 2025
Figure 22: Global: Mobile Business Intelligence (Fraud and Security Management) Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 23: Global: Mobile Business Intelligence (Sales and Marketing Management (Customer Engagement and Analysis)) Market: Sales Value (in Million USD), 2020 & 2025
Figure 24: Global: Mobile Business Intelligence (Sales and Marketing Management (Customer Engagement and Analysis)) Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 25: Global: Mobile Business Intelligence (Predictive Asset Maintenance) Market: Sales Value (in Million USD), 2020 & 2025
Figure 26: Global: Mobile Business Intelligence (Predictive Asset Maintenance) Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 27: Global: Mobile Business Intelligence (Risk and Compliance Management) Market: Sales Value (in Million USD), 2020 & 2025
Figure 28: Global: Mobile Business Intelligence (Risk and Compliance Management) Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 29: Global: Mobile Business Intelligence (Supply Chain Management and Operations) Market: Sales Value (in Million USD), 2020 & 2025
Figure 30: Global: Mobile Business Intelligence (Supply Chain Management and Operations) Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 31: Global: Mobile Business Intelligence (Other Applications) Market: Sales Value (in Million USD), 2020 & 2025
Figure 32: Global: Mobile Business Intelligence (Other Applications) Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 33: Global: Mobile Business Intelligence (BFSI) Market: Sales Value (in Million USD), 2020 & 2025
Figure 34: Global: Mobile Business Intelligence (BFSI) Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 35: Global: Mobile Business Intelligence (IT and Telecommunications) Market: Sales Value (in Million USD), 2020 & 2025
Figure 36: Global: Mobile Business Intelligence (IT and Telecommunications) Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 37: Global: Mobile Business Intelligence (Healthcare) Market: Sales Value (in Million USD), 2020 & 2025
Figure 38: Global: Mobile Business Intelligence (Healthcare) Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 39: Global: Mobile Business Intelligence (Retail) Market: Sales Value (in Million USD), 2020 & 2025
Figure 40: Global: Mobile Business Intelligence (Retail) Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 41: Global: Mobile Business Intelligence (Government) Market: Sales Value (in Million USD), 2020 & 2025
Figure 42: Global: Mobile Business Intelligence (Government) Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 43: Global: Mobile Business Intelligence (Manufacturing) Market: Sales Value (in Million USD), 2020 & 2025
Figure 44: Global: Mobile Business Intelligence (Manufacturing) Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 45: Global: Mobile Business Intelligence (Other End Users) Market: Sales Value (in Million USD), 2020 & 2025
Figure 46: Global: Mobile Business Intelligence (Other End Users) Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 47: North America: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 48: North America: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 49: United States: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 50: United States: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 51: Canada: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 52: Canada: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 53: Asia-Pacific: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 54: Asia-Pacific: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 55: China: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 56: China: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 57: Japan: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 58: Japan: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 59: India: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 60: India: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 61: South Korea: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 62: South Korea: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 63: Australia: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 64: Australia: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 65: Indonesia: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 66: Indonesia: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 67: Others: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 68: Others: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 69: Europe: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 70: Europe: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 71: Germany: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 72: Germany: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 73: France: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 74: France: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 75: United Kingdom: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 76: United Kingdom: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 77: Italy: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 78: Italy: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 79: Spain: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 80: Spain: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 81: Russia: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 82: Russia: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 83: Others: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 84: Others: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 85: Latin America: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 86: Latin America: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 87: Brazil: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 88: Brazil: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 89: Mexico: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 90: Mexico: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 91: Others: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 92: Others: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 93: Middle East and Africa: Mobile Business Intelligence Market: Sales Value (in Million USD), 2020 & 2025
Figure 94: Middle East and Africa: Mobile Business Intelligence Market: Breakup by Country (in %), 2025
Figure 95: Middle East and Africa: Mobile Business Intelligence Market Forecast: Sales Value (in Million USD), 2026-2034
Figure 96: Global: Mobile Business Intelligence Industry: SWOT Analysis
Figure 97: Global: Mobile Business Intelligence Industry: Value Chain Analysis
Figure 98: Global: Mobile Business Intelligence Industry: Porter's Five Forces Analysis

List of Tables

Table 1: Global: Mobile Business Intelligence Market: Key Industry Highlights, 2025 and 2034
Table 2: Global: Mobile Business Intelligence Market Forecast: Breakup by Solution (in Million USD), 2026-2034
Table 3: Global: Mobile Business Intelligence Market Forecast: Breakup by Deployment Mode (in Million USD), 2026-2034
Table 4: Global: Mobile Business Intelligence Market Forecast: Breakup by Enterprise Size (in Million USD), 2026-2034
Table 5: Global: Mobile Business Intelligence Market Forecast: Breakup by Application (in Million USD), 2026-2034
Table 6: Global: Mobile Business Intelligence Market Forecast: Breakup by End User Vertical (in Million USD), 2026-2034
Table 7: Global: Mobile Business Intelligence Market Forecast: Breakup by Region (in Million USD), 2026-2034
Table 8: Global: Mobile Business Intelligence Market: Competitive Structure
Table 9: Global: Mobile Business Intelligence Market: Key Players

02-2729-4219

+886-2-2729-4219