SaaS-based Business Analytics Market size was valued at USD 12.09 billion in 2024 and is expected to reach USD 34.85 billion by 2032, growing at a CAGR of 14.23% from 2025-2032.
The SaaS-based Business Analytics Market growth is driven by increasing demand for real-time data insights, cost-effective cloud deployment models, and the rising adoption of data-driven decision-making across enterprises.
In the U.S., over 60% of firms in the information sector and 30–40% of manufacturing firms already use cloud services, underscoring the widespread shift toward SaaS platforms. Organizations are increasingly leveraging SaaS analytics tools to enhance operational efficiency, customer engagement, and predictive planning without heavy infrastructure investments.
A recent Oracle ESG survey found that 91% of respondents consider SaaS consumption models essential for deploying AI, IoT, and financial/operational automation. Supporting this, Oracle whitepapers report that 93% of Fortune 1000 CIOs view AI as a critical transformative technology, enabled by the vast scale of cloud infrastructure.
The integration of AI, ML, and automation into analytics solutions further accelerates market growth. Additionally, the surge in remote work and digital transformation initiatives across industries has amplified the need for scalable, flexible, and collaborative analytics tools, positioning SaaS-based platforms as a preferred choice for both SMEs and large enterprises.
U.S. SaaS-based Business Analytics Market size was valued at USD 3.31 billion in 2024 and is expected to reach USD 9.42 billion by 2032, growing at a CAGR of 13.98% from 2025-2032.
Growth in the U.S. SaaS-based Business Analytics Market is fueled by increasing cloud adoption, demand for real-time insights, AI integration, and the need for agile decision-making tools across industries, especially amid expanding digital transformation and remote work environments.
Drivers
Growing need for data-driven decisions is boosting the adoption of user-friendly SaaS-based business analytics platforms across industries.
Data-driven strategies have become a top concern for firms looking to boost operational efficiency and gain a competitive edge. What these analytics solutions offer that meets this demand are a combination of user-friendly interfaces, embedded AI/ML capabilities, and easy integration with existing systems. Such platforms minimize reliance on IT and empower the users of a business to be self-sufficient in accessing actionable insights. SaaS analytics help reshape processes in real time- predictive sales modeling, customer behavior analysis, organizations are not looking back. This is enabling data analytics tools through a SaaS model to unlock value across the enterprise, particularly for mid-sized organizations which often lack the resources for sophisticated IT solutions.
Reflecting this trend, Microsoft reports over 60,000 Azure AI customers a 60% year-over-year increase indicating broad adoption of AI analytics tools by organizations of all sizes, including mid-sized firms.
However, while 58% of organizations are focused on increasing Power BI adoption, surveys show that 84% still have under 25% adoption across employees highlighting both the growing demand and the need for more intuitive self-service tools to support broader enterprise engagement.
Restraints
Integration complexity with legacy systems is limiting the seamless deployment of SaaS-based business analytics in traditional enterprises.
SaaS solutions are flexible, but major integration roadblocks arise for older enterprises with legacy ERP, CRM or data warehouse systems. The variety of data formats, incompatible APIs, and fragmented infrastructures are likely to block data from flowing into modern SaaS analytics platforms painlessly. Which then creates more configuration costs, longer implementation time, and dependence on third-party middleware. Transition to SaaS models at organizations with deep-rooted IT architectures is slow-moving since they are not very enthusiastic to just break away their core operations. Legacy-heavy firms may delay or forgo full-blown SaaS adoption, hindered by the absence of streamlined migration paths and robust integration support.
Opportunities
AI and machine learning integration in SaaS analytics tools is creating new opportunities for advanced predictive business intelligence solutions.
The Move towards Automation & Forecasting While enterprises scale the levels of automation and forecasting, AI/ML integration with SaaS analytics is opening the gates for hyper-personalised insight generation and predictive decision-making. These tools provide strategic value, from churn prediction to dynamic pricing that goes beyond basic dashboards. The key competitive advantage lies with intelligent algorithms that the providers bake into their integrated solutions and which keep learning continually. Organizations are not only looking for platforms that visualize but also understand and predict the data outcomes in real-time, which is a trend that is fuelling data democratization and self-service analytics.
Supporting this shift, a Microsoft survey found that 78% of IT professionals already have AI deployed or in pilot stages demonstrating widespread internal adoption.
Additionally, the IDC-sponsored Responsible AI survey reports that 91% of organizations are using AI, with expectations of over a 24% improvement in operational efficiency, customer experience, and business resilience.
Further emphasizing this trend, over 21,000 customers including approximately 70% of the Fortune 500 are using Microsoft Fabric, a unified data-AI platform that supports real-time data preparation, generative AI integration, and continuous model training.
Challenges
Managing data interoperability across multi-cloud and hybrid environments challenges seamless analytics in SaaS-based business intelligence ecosystems.
Using cross-cloud or hybrid cloud models increases the data pipelines' complexity towards the interoperability and consistency with which they pass data between different cloud providers. Different cloud platforms tend not to share standards, storage formats and governance models. All this fragmentation impacts the quality and reliability of analytics outputs. Integration continuity will require SaaS vendors to build more solid APIs and cross-platform data connectors. In multi-IT landscapes, the lack of standardized data propagation mechanisms lead to data silos, latencies and compromised accuracy of insights all of which reduce the returns from SaaS-based analytics investments.
By Organization Size
Large enterprises dominated the SaaS-based Business Analytics Market in 2024 with a 63% revenue share due to their considerable IT budget, complex data ecosystems and the demand for advanced analytics capabilities. These are high-performing organizations where strategic insights from data are prioritized at the global operations, customer and process optimization levels. Perfectly positioned to drive higher value spend and market penetration, their existing infrastructure and willingness to pay for fully scalable SaaS solutions allows for quick deployment and adoption across departments.
Small and Medium Enterprises (SMEs) are expected to grow at the fastest CAGR of 15.65% from 2025 to 2032, driven by increasing digitalization, cost-effective SaaS adoption, and demand for real-time insights without large IT teams. They are typically cloud-based tools that most businesses would prefer simply for their flexibility, low upfront cost, and user-friendliness. With data-driven decision-making being the need of the hour, SMEs are turning to analytics at a faster pace to gain a competitive edge along with operational effectiveness.
By End Users
The BFSI segment led the SaaS-based Business Analytics Market in 2024 with a 25% revenue share, due to the sectors high dependence of real-time data to identify potential frauds, customer profiling and risk management. On the other hand, financial institutions need advanced, scalable analytics tools to satisfy regulations, improve personalization, and maximize services. This puts them in a stronger position for the sector thanks to early cloud adoption and continued investment in advanced analytics.
The retail and e-commerce segment is projected to grow at the fastest CAGR of 15.61% from 2025 to 2032, owing to growing need for customer-based insights, inventory prediction, and customized marketing. SaaS analytics provides retailers highly agile and data-driven strategies to track consumer behaviour, set right pricing and enhance digital engagement. This rapid adoption path is fuelled even further by the transition to omnichannel retail and the demand for real-time decision making.
By Architecture Type
The multi-tenant segment dominated the SaaS-based Business Analytics Market in 2024 with a 74% revenue share and is projected to grow at the fastest CAGR of 14.86% from 2025 to 2032. This dominance and rapid growth are driven by its cost-efficiency, scalability, and ease of deployment across industries. Multi-tenancy allows multiple users to access a single software instance, reducing infrastructure costs and enabling quicker updates. It appeals to both large enterprises and SMEs seeking collaborative analytics environments. Vendors favor this model for streamlined maintenance, enhancing customer reach while ensuring consistent performance and security.
By Analytics Type
Descriptive analytics dominated the SaaS-based Business Analytics Market share in 2024 with a 44%, due to its foundational role in helping organizations understand historical data patterns and performance. It offers easy-to-use dashboards and visualizations that support basic reporting and decision-making. Its widespread use across industries for tracking KPIs and operational efficiency makes it the most adopted analytics type, especially among enterprises beginning their data analytics journey.
Prescriptive analytics is expected to grow at the fastest CAGR of 16.78% from 2025 to 2032, driven by increasing demand for actionable, real-time decision recommendations. Organizations are leveraging prescriptive models to optimize operations, predict future outcomes, and automate decision-making using AI and machine learning. As businesses mature in analytics adoption, they seek solutions that go beyond insights to deliver proactive strategies, fueling strong growth for prescriptive analytics platforms across sectors.
North America dominated the SaaS-based Business Analytics Market in 2024 with a 39% revenue share due to early cloud adoption, advanced IT infrastructure, and a high concentration of tech-savvy enterprises. The region's strong presence of major SaaS vendors, focus on data-driven decision-making, and increasing investments in AI and analytics platforms further contribute to its leadership, supported by mature regulatory frameworks and enterprise readiness for digital transformation.
North American public agencies including over 215 federal and 18,000 municipal bodies—have widely deployed cloud solutions, underlining both enterprise and institutional readiness for analytics platforms.
Additionally, North America especially the U.S., which hosts more than 5,381 data centers possesses the largest global data center infrastructure. McKinsey projects this capacity will grow to 35 GW by 2030, reinforcing the region's strong foundation for enterprise-scale analytics.
The United States is dominating the SaaS-based Business Analytics Market due to early cloud adoption, strong enterprise demand, and the presence of major SaaS providers and tech innovators.
Asia Pacific is expected to grow at the fastest CAGR of 16.18% from 2025 to 2032, driven by rapid digitalization, expanding startup ecosystems, and increasing cloud penetration in emerging economies like India and Southeast Asia. AWS, for instance, plans to invest over USD 16.4 billion in India by 2030 including the Hyderabad region cloud to support both public and private sector workloads, reinforcing the region’s cloud infrastructure.
Additionally, 60% of small and medium enterprises in Southeast Asia use cloud services, with SaaS spending topping USD 12 billion in 2023, supported by a USD 40 billion regional cloud computing sector highlighting strong adoption among SMEs seeking affordable, scalable analytics solutions. Government-led digital initiatives, along with growing awareness of data-driven strategies, further accelerate adoption, making Asia Pacific a key driver of the next phase of intelligent SaaS analytics growth.
China leads the SaaS-based Business Analytics Market trends in Asia Pacific, driven by its vast enterprise base, strong digital policies, and rapid cloud adoption. Major players like Alibaba Cloud and Huawei Cloud are accelerating AI-powered analytics deployment. Notably, 58% of Chinese manufacturers use AI for predictive maintenance, cutting downtime by 30% and boosting productivity by 18%. Guizhou Province, China’s “Big Data Valley,” operates 39 data centers, contributing 23% of its GDP and creating over 450,000 data-driven jobs.
Europe is witnessing steady growth in the SaaS-based Business Analytics Market, driven by rising cloud adoption, digital transformation, and supportive regulations. As of 2023, 69% of UK firms had adopted cloud-based systems and applications, reflecting strong enterprise readiness. In Germany, national electronic patient records (ePA) became accessible to all statutory-insured individuals in January 2025, showcasing the healthcare sector’s rapid digitalization and increasing reliance on cloud-enabled analytics platforms.
The United Kingdom is dominating the SaaS-based Business Analytics Market in Europe, driven by high cloud adoption, digital transformation in enterprises, and strong presence of analytics service providers.
The Middle East & Africa are emerging SaaS-based Business Analytics markets, fueled by digital adoption, rising cloud investments, and growing demand for insights across finance, retail, and government.
About 68% of Middle Eastern firms plan major cloud migration within two years. Bahrain’s Cloud First policy has enabled 70% of government services to operate on the cloud, cutting costs and infrastructure.
These initiatives, backed by strategies like Saudi Vision 2030 and UAE Centennial 2071, are accelerating regional SaaS analytics deployment and adoption.
Latin America is rapidly emerging in the SaaS-based Business Analytics space, driven by cloud expansion, digital transformation, and demand for analytics in banking, retail, and public sectors.
AWS is investing USD 4 billion in its first Chilean data center its third in the region while Microsoft has pledged USD 2.7 billion to build an AI/cloud data center in Limeira, Brazil. These sovereign cloud initiatives are advancing government-backed digital infrastructure, creating a fertile environment for scalable SaaS analytics adoption across Latin America’s growing urban and enterprise ecosystems.
SaaS-based Business Analytics Market companies are Microsoft, Qlik, Salesforce.com, Oracle, TIBCO Software Inc., GoodData Corporation, SAS Institute, OpenText Corporation, IBM, SAP, Planful, Teradata, Zoomdata.
In 2025, Microsoft and CrowdStrike announced a strategic collaboration to align threat-actor taxonomies, enhancing cross-platform cybersecurity intelligence and streamlining threat detection across shared enterprise ecosystems.
In 2025, SAP and Microsoft launched SAP Business Data Cloud and SAP Databricks on Azure, featuring zero-copy data sharing connectors to enhance seamless, real-time analytics across integrated enterprise environments.
In June 2025, Qlik introduced new write-back functionality in Qlik Cloud Analytics, enabling users to directly edit data within the application, enhancing interactivity, collaboration, and real-time decision-making.
| Report Attributes | Details |
|---|---|
| Market Size in 2024 | USD 12.09 Billion |
| Market Size by 2032 | USD 34.85 Billion |
| CAGR | CAGR of 14.23% From 2025 to 2032 |
| Base Year | 2024 |
| Forecast Period | 2025-2032 |
| Historical Data | 2021-2023 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Architecture Type (Multi-Tenant, Single-Tenant) • By Organization Size (Large Enterprise, Small & Medium Enterprise (SME)) • By Analytics Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics) • By End Users (BFSI, Retail and E-commerce, Manufacturing, Media, Telecom and IT, Healthcare, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, Poland, Turkey, Rest of Europe), Asia Pacific (China, India, Japan, South Korea, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America) |
| Company Profiles | Microsoft, Qlik, Salesforce.com, Oracle, TIBCO Software Inc., GoodData Corporation, SAS Institute, OpenText Corporation, IBM, SAP, Planful, Teradata, Zoomdata |
Ans: The SaaS-based Business Analytics Market is projected to grow at a CAGR of 14.23% from 2025 to 2032, driven by rising cloud adoption.
Ans: The SaaS-based Business Analytics Market was valued at USD 12.09 billion in 2024, showing strong enterprise demand for cloud-based analytics.
Ans: Rising demand for real-time insights, AI integration, and cost-effective SaaS deployment is significantly driving market growth across global enterprises.
Ans: Descriptive analytics dominated with a 44% revenue share in 2024, widely used for historical performance tracking and key performance indicator analysis.
Ans: North America led the market with a 39% revenue share in 2024, supported by advanced IT infrastructure and strong SaaS vendor presence.
Table Of Content
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Self-Service Analytics Adoption
5.2 Customization & Configuration Usage
5.3 AI/ML Integration Rate
5.4 Mobile Usage Share
5.5 Training & Adoption Lag Time
5.6 Cross-Functional Adoption Spread
6. Competitive Landscape
6.1 List of Major Companies By Region
6.2 Market Share Analysis By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and Supply Chain Strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. SaaS-based Business Analytics Market Segmentation By Architecture Type
7.1 Chapter Overview
7.2 Multi-Tenant
7.2.1 Multi-Tenant Market Trends Analysis (2021-2032)
7.2.2 Multi-Tenant Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Single-Tenant
7.3.1 Single-Tenant Market Trends Analysis (2021-2032)
7.3.2 Single-Tenant Market Size Estimates and Forecasts to 2032 (USD Billion)
8. SaaS-based Business Analytics Market Segmentation By Analytics Type
8.1 Chapter Overview
8.2 Descriptive Analytics
8.2.1 Descriptive Analytics Market Trends Analysis (2021-2032)
8.2.2 Descriptive Analytics Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Predictive Analytics
8.3.1 Predictive Analytics Market Trends Analysis (2021-2032)
8.3.2 Predictive Analytics Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Prescriptive Analytics
8.4.1 Prescriptive Analytics Market Trends Analysis (2021-2032)
8.4.2 Prescriptive Analytics Market Size Estimates and Forecasts to 2032 (USD Billion)
9. SaaS-based Business Analytics Market Segmentation By Organization Size
9.1 Chapter Overview
9.2 Large Enterprise
9.2.1 Large Enterprise Market Trends Analysis (2021-2032)
9.2.2 Large Enterprise Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Small & Medium Enterprise (SME)
9.3.1 Small & Medium Enterprise (SME) Market Trends Analysis (2021-2032)
9.3.2 Small & Medium Enterprise (SME) Market Size Estimates and Forecasts to 2032 (USD Billion)
10. SaaS-based Business Analytics Market Segmentation By End Users
10.1 Chapter Overview
10.2 BFSI
10.2.1 BFSI Market Trends Analysis (2021-2032)
10.2.2 BFSI Market Size Estimates and Forecasts to 2032 (USD Billion)
10.3 Retail and E-commerce
10.3.1 Retail and E-commerce Market Trend Analysis (2021-2032)
10.3.2 Retail and E-commerce Market Size Estimates and Forecasts to 2032 (USD Billion)
10.4 Manufacturing
10.4.1 Manufacturing Market Trends Analysis (2021-2032)
10.4.2 Manufacturing Market Size Estimates and Forecasts to 2032 (USD Billion)
10.5 Media
10.5.1 Media Market Trends Analysis (2021-2032)
10.5.2 Media Market Size Estimates and Forecasts to 2032 (USD Billion)
10.6 IT and Telecom
10.6.1 IT and Telecom Market Trend Analysis (2021-2032)
10.6.2 IT and Telecom Market Size Estimates and Forecasts to 2032 (USD Billion)
10.7 Healthcare
10.7.1 Healthcare Market Trends Analysis (2021-2032)
10.7.2 Healthcare Market Size Estimates and Forecasts to 2032 (USD Billion)
10.8 Others
10.8.1 Others Market Trends Analysis (2021-2032)
10.8.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
11. Regional Analysis
11.1 Chapter Overview
11.2 North America
11.2.1 Trend Analysis
11.2.2 North America SaaS-based Business Analytics Market Estimates and Forecasts by Country (2021-2032) (USD Billion)
11.2.3 North America SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.2.4 North America SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.2.5 North America SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.2.6 North America SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.2.7 USA
11.2.7.1 USA SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.2.7.2 USA SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.2.7.3 USA SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.2.7.4 USA SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.2.8 Canada
11.2.8.1 Canada SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.2.8.2 Canada SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.2.8.3 Canada SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.2.8.4 Canada SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.2.9 Mexico
11.2.9.1 Mexico SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.2.9.2 Mexico SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.2.9.3 Mexico SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.2.9.4 Mexico SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.3 Europe
11.3.1 Trend Analysis
11.3.2 Europe SaaS-based Business Analytics Market Estimates and Forecasts by Country (2021-2032) (USD Billion)
11.3.3 Europe SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.3.4 Europe SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.3.5 Europe SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.3.6 Europe SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.3.7 Germany
11.3.7.1 Germany SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.3.7.2 Germany SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.3.7.3 Germany SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.3.7.4 Germany SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.3.8 France
11.3.8.1 France SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.3.8.2 France SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.3.8.3 France SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.3.8.4 France SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.3.9 UK
11.3.9.1 UK SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.3.9.2 UK SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.3.9.3 UK SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.3.9.4 UK SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.3.10 Italy
11.3.10.1 ItalySaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.3.10.2 Italy SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.3.10.3 Italy SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.3.10.4 Italy SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.3.11 Spain
11.3.11.1 Spain SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.3.11.2 Spain SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.3.11.3 Spain SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.3.11.4 Spain SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.3.12 Poland
11.3.12.1 Poland SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.3.12.2 Poland SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.3.12.3 Poland SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.3.12.4 Poland SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.3.13 Turkey
11.3.13.1 Turkey SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.3.13.2 Turkey SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.3.13.3 Turkey SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.3.13.4 Turkey SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.3.14 Rest of Europe
11.3.14.1 Rest of Europe SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.3.14.2 Rest of Europe SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.3.14.3 Rest of Europe SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.3.14.4 Rest of Europe SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.4 Asia Pacific
11.4.1 Trend Analysis
11.4.2 Asia Pacific SaaS-based Business Analytics Market Estimates and Forecasts by Country (2021-2032) (USD Billion)
11.4.3 Asia Pacific SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.4.4 Asia Pacific SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.4.5 Asia Pacific SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.4.6 Asia Pacific SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.4.7 China
11.4.7.1 China SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.4.7.2 China SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.4.7.3 China SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.4.7.4 China SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.4.8 India
11.4.8.1 India SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.4.8.2 India SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.4.8.3 India SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.4.8.4 India SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.4.9 Japan
11.4.9.1 Japan SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.4.9.2 Japan SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.4.9.3 Japan SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.4.9.4 Japan SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.4.10 South Korea
11.4.10.1 South Korea SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.4.10.2 South Korea SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.4.10.3 South Korea SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.4.10.4 South Korea SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.4.11 Singapore
11.4.11.1 Singapore SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.4.11.2 Singapore SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.4.11.3 Singapore SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.4.11.4 Singapore SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.4.12 Australia
11.4.12.1 Australia SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.4.12.2 Australia SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.4.12.3 Australia SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.4.12.4 Australia SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.4.13 Rest of Asia Pacific
11.4.13.1 Rest of Asia Pacific SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.4.13.2 Rest of Asia Pacific SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.4.13.3 Rest of Asia Pacific SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.4.13.4 Rest of Asia Pacific SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.5 Middle East and Africa
11.5.1 Trend Analysis
11.5.2 Middle East and Africa SaaS-based Business Analytics Market Estimates and Forecasts by Country (2021-2032) (USD Billion)
11.5.3 Middle East and Africa SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.5.4 Middle East and Africa SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.5.5 Middle East and Africa SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.5.6 Middle East and Africa SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.5.7 UAE
11.5.7.1 UAE SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.5.7.2 UAE SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.5.7.3 UAE SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.5.7.4 UAE SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.5.8 Saudi Arabia
11.5.8.1 Saudi Arabia SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.5.8.2 Saudi Arabia SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.5.8.3 Saudi Arabia SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.5.8.4 Saudi Arabia SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.5.9 Qatar
11.5.9.1 Qatar SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.5.9.2 Qatar SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.5.9.3 Qatar SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.5.1.9.4 Qatar SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.5.10 South Africa
11.5.10.1 South Africa SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.5.10.2 South Africa SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.5.10.3 South Africa SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.5.10.4 South Africa SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.5.11 Rest of Middle East & Africa
11.5.11.1 Rest of Middle East & Africa SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.5.11.2 Rest of Middle East & Africa SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.5.11.3 Rest of Middle East & Africa SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.5.11.4 Rest of Middle East & Africa SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.6 Latin America
11.6.1 Trend Analysis
11.6.2 Latin America SaaS-based Business Analytics Market Estimates and Forecasts by Country (2021-2032) (USD Billion)
11.6.3 Latin America SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.6.4 Latin America SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.6.5 Latin America SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.6.6 Latin America SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.6.7 Brazil
11.6.7.1 Brazil SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.6.7.2 Brazil SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.6.7.3 Brazil SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.6.7.4 Brazil SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.6.8 Argentina
11.6.8.1 Argentina SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.6.8.2 Argentina SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.6.8.3 Argentina SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.6.8.4 Argentina SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
11.6.9 Rest of Latin America
11.6.9.1 Rest of Latin America SaaS-based Business Analytics Market Estimates and Forecasts By Architecture Type (2021-2032) (USD Billion)
11.6.9.2 Rest of Latin America SaaS-based Business Analytics Market Estimates and Forecasts By Analytics Type (2021-2032) (USD Billion)
11.6.9.3 Rest of Latin America SaaS-based Business Analytics Market Estimates and Forecasts By Organization Size (2021-2032) (USD Billion)
11.6.9.4 Rest of Latin America SaaS-based Business Analytics Market Estimates and Forecasts By End Users (2021-2032) (USD Billion)
12. Company Profiles
12.1 Microsoft
12.1.1 Company Overview
12.1.2 Financial
12.1.3 Products/ Services Offered
12.1.4 SWOT Analysis
12.2 Qlik
12.2.1 Company Overview
12.2.2 Financial
12.2.3 Products/ Services Offered
12.2.4 SWOT Analysis
12.3 Salesforce
12.3.1 Company Overview
12.3.2 Financial
12.3.3 Products/ Services Offered
12.3.4 SWOT Analysis
12.4 Oracle
12.4.1 Company Overview
12.4.2 Financial
12.4.3 Products/ Services Offered
12.4.4 SWOT Analysis
12.5 TIBCO Software Inc
12.5.1 Company Overview
12.5.2 Financial
12.5.3 Products/ Services Offered
12.5.4 SWOT Analysis
12.6 GoodData Corporation
12.6.1 Company Overview
12.6.2 Financial
12.6.3 Products/ Services Offered
12.6.4 SWOT Analysis
12.7 SAS Institute
12.7.1 Company Overview
12.7.2 Financial
12.7.3 Products/ Services Offered
12.7.4 SWOT Analysis
12.8 OpenText Corporation
12.8.1 Company Overview
12.8.2 Financial
12.8.3 Products/ Services Offered
12.8.4 SWOT Analysis
12.9 IBM
12.9.1 Company Overview
12.9.2 Financial
12.9.3 Products/ Services Offered
12.9.4 SWOT Analysis
12.10 SAP
12.10.1 Company Overview
12.10.2 Financial
12.10.3 Products/ Services Offered
12.10.4 SWOT Analysis
13. Use Cases and Best Practices
14. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Architecture Type
Multi-Tenant
Single-Tenant
By Organization Size
Large Enterprise
Small & Medium Enterprise (SME)
By Analytics Type
Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
By End Users
BFSI
Retail and E-commerce
Manufacturing
Media
Telecom and IT
Healthcare
Others
Request for Segment Customization as per your Business Requirement: Segment Customization Request
Regional Coverage:
North America
US
Canada
Mexico
Europe
Germany
France
UK
Italy
Spain
Poland
Turkey
Rest of Europe
Asia Pacific
China
India
Japan
South Korea
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
UAE
Saudi Arabia
Qatar
South Africa
Rest of Middle East & Africa
Latin America
Brazil
Argentina
Rest of Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Detailed Volume Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Competitive Product Benchmarking
Geographic Analysis
Additional countries in any of the regions
Customized Data Representation
Detailed analysis and profiling of additional market players