The low-code embedded analytics market size was valued at USD 14.9 billion in 2024 and is expected to reach USD 34.0 billion by 2032, growing at a CAGR of 10.89% during 2025-2032.
The low-code embedded analytics market growth is accelerating as enterprises turn to embedded solutions that allow them to surface live contact insights into the workflow of their applications without requiring complex coding. Such a market can allow business users to easily create, customize, and deploy interactive dashboards, reports, and other visualizations, truly embedding analytics within business workflows. The increase in digital transformation initiatives drives this demand, and the need to make data-driven decisions and a shortage of skilled developers. Low-code embedded tools enable organizations to integrate software applications into various user interfaces, enhancing the user experience, reducing time to market, and gaining a competitive edge. Consequently, enterprises across sectors, such as BFSI, healthcare, retail, and manufacturing are leveraging low-code embedded tools. Finally, such platforms are also driving innovation by integrating AI/ML and automation.
In the U.S. Low-Code Embedded Analytics Market, growth is driven by the growing enterprise needs for integrated insights and self-service BI tools. The market was valued at USD 3.9 billion in 2024 and is projected to reach USD 8.9 billion by 2032, growing at a CAGR of 10.69%. Key Low-Code Embedded Analytics Market trend includes the utilization of artificial intelligence-based low-code platforms that provide organizations with fast, scalable, and wide-ranging integration across sectors.
Drivers:
Rising Demand for Real-Time Decision-Making Leads to Increased Adoption of Self-Service Low-Code Embedded Analytics Platforms
With virtual and physical workforces working in silos and the need for real-time decision-making and access to data, low-code embedded analytics platforms have become in demand. Organizations have also started pushing self-service analytics, enabling non-technical users to derive insights independently with limited reliance on the IT team. Analytic integration in operational applications through low-code tools provide users with insights to make decisions where they work. The increasing adoption of agility, cost-effectiveness, and faster deployment is one of the prominent driving forces that is expected to support the growth of cloud app security across various industries, including retail, BFSI, and healthcare. A drag-and-drop interface is enabling greater customization of dashboards and reports for embedded analytics, leading to higher adoption.
According to a Forrester Analytics Business Technographics Data & Analytics Survey (2024), 70% of enterprises stated that enabling real-time decision-making was among their top three objectives for analytics investment.
Restraints:
Data security concerns and legacy system complexities result in slower adoption among highly regulated industries
Though it helps in deploying an analytics solution with ease, without LCP applications, it can face serious data security and other integration challenges with legacy systems. One of the reasons organizations are hesitant to embed analytics into mission-critical applications is due to security vulnerabilities. Without appropriate IT governance, joining these platforms with the different data sources, on-premise systems, and APIs can be challenging. Such integrations can also result in data silo, compliance, and performance problems. The whole rigmarole around security protocols, access controls, and audit capabilities needs to be closely configured, requiring immense backend know-how. This is especially true in highly regulated sectors, including finance and healthcare, where such tailspins can inhibit adoption due to compliance-related concerns.
A 2024 survey found that 62% of organizations in regulated sectors (healthcare, BFSI, and government) identified data security and compliance as their primary barrier to adopting embedded analytics platforms.
Opportunities:
Growing low-code adoption among SMBs creates new market avenues for affordable embedded analytics solutions
With the increasing adoption of low-code embedded analytics, small, and medium-sized businesses will be able to compete on par with large enterprises. They provide low-cost and scalable solutions, mitigating the dependency on big development teams and giving the edge of time to market in acquiring data applications. Given that SMBs are trying to get data-driven without too much investment in infrastructure and talent, the low-code analytics is something very appealing. Cloud deployment models combined with a pay-as-you-go pricing model additionally make it accessible. In addition, with computing power and storage becoming cheaper, the AI and automation are enabling these platforms to provide predictive and prescriptive insights for smaller datasets as well. This trend leaves countless opportunities on the table for vendors who target market segments overlooked by others or have traditionally only focused on low-budget requests.
Challenges:
Limited Customization in Low-Code Tools Hinders Scalability for Complex Enterprise-level Analytics Use Cases
Low-code platforms are great for many reasons but may fail on specific and advanced analytics for large enterprise size. Workflows that are even a little bit complex will require integrations deep in the backend, custom visualizations, or custom machine learning models, beyond the capabilities of drag and drop. As businesses scale, the analytics workload and complexity usually increase, and they require higher customization and flexibility, which is not efficiently provided by low-code delivery platforms. This means that, to get things working, developers will have to step in, thus meeting the speed benefits of low-code environments ineffective. This limitation in scalability conjunction with vendor lock-in risk, is a critical problem for enterprises with long-term digital transformation paths and shifting analytics needs.
By Deployment:
The cloud-based platforms segment dominated the market in 2024 and accounted for 75% of the low-code embedded analytics market share, as cloud-based platforms provide higher scalability, lower upfront cost, and are more efficiently integrated with SaaS Applications. They provide analytical access in real time and remote work environments. Cloud deployment trend through 2032, due to rapid migration of work to the cloud and a shift in priorities of both SMBs and enterprises for agile and data-informed decision making.
In September 2024, Jitterbit enhanced its cloud-based Harmony low-code integration platform with AI-driven capabilities, automating connector creation, building logic via drag-and-drop, and adding documentation querying features.
On-premises platforms are expected to register the fastest CAGR due to highly regulated industries, such as healthcare and BFSI, where data sovereignty and stringent compliance are of utmost importance. This boom is being driven by organizations putting a premium on control and infrastructure. Driven by growing demand for data-sensitive use cases and shifting preferences between on-premises and cloud deployments, the trend toward private cloud and hybrid models is expected to strengthen steadily through 2032.
By Enterprise Size:
Large enterprises dominated the low-code embedded analytics market in 2024 and accounted for 81% of revenue share, due to the significant digital base, bigger analytics budgets, and demand for real-time insights and generation across their multi-layered operations. These organizations value embedded analytics as an operational and strategic tool. Large enterprises till 2032 will remain adoption leaders as they are primarily automating AI integration, capturing cross-departmental analytics demand, and increasing investments will be made in enterprise-wide low-code partnerships.
In March 6, 2025, Appian introduced version 25.1, enhancing its enterprise low‑code platform with improved AI-driven document processing and centralized dashboards. The release supports syncing up to 10 million rows per record type, enabling large enterprises to embed high-performance analytics into mission-critical applications.
SMEs are expected to register the fastest CAGR owing to increasing accessibility of low-code platforms via the cloud and the rising demand for affordable analytics solutions. SMEs, which are already strapped with limited IT resources, prefer intuitive tools that cut down on development time. The need for embedded analytics will grow rapidly, with small and medium-sized businesses (SMBs) that are adapting digitally, especially those in retail, services, and logistics, becoming a key driver of demand by 2032.
By Application:
CRM analytics dominated the low-code embedded analytics market in 2024 and accounted for a significant revenue share, owing to their increasing demand for real-time customer insights, personalized customer engagement, and integration of automated sales intelligence. Low-code tools are used by enterprises to integrate analytics inside the CRM systems, such as Salesforce and HubSpot. CRM analytics will continue leading the feasible market for companies aiming for a customer-centric strategy with every lead, conversion, and retention based on data-driven decision-making until 2032.
Supply chain analytics is expected to register the fastest CAGR during the forecast period, driven by the increasing volatility in global logistics, time-sensitive demand forecasting needs and risk mitigation. Real-time dashboards for inventory, suppliers, and disruptions can be deployed quickly using low-code platforms. Embedded analytics will grow rapidly due to the digital supply chain transformation and IoT data integration opportunities across logistics and manufacturing verticals through 2032.
By Industry:
The BFSI sector dominated the low-code embedded analytics market in 2024 and accounted for a significant revenue share, owing to the industry necessity for real-time fraud detection, regulatory compliance, and providing personalized financial services. For instance, financial institutions utilize embedded analytics to score credit, model risk, and segment customers. BFSI continues to lead through 2032 as secure and low-code analytics solutions capable of being integrated into data-centric operations and automated processes become the preferred choice for investment.
Healthcare is expected to register the fastest CAGR, owing to the rising adoption of embedded analytics in EHR, diagnostics, and optimizations in delivering patient care. Low-code platforms make it easier to develop applications in real-time so that organizations can get insights on patient data, treatment outcomes, and the utilization of the resources. Regulatory changes and digital health transformation will lead to analytic deployment across hospitals and clinics skyrocketing by 2032.
North America dominated the low-code embedded analytics market owing to early technology adoption, the presence of key vendors, and a mature enterprise ecosystem in the region. The growth is propelled by several factors, including increased demand for real-time data insight in various sectors, especially BFSI, IT, and healthcare verticals. Meanwhile, continued capital expenditures in cloud infrastructure and machine-learning-based analytics will further sustain North America’s dominance in this market through 2032.
Asia-Pacific is expected to register the fastest CAGR, driven by a rise in cloud adoption and the expansion of SMEs in countries, such as India, China, and the countries in Southeast Asia. The demand is being fueled by government initiatives promoting innovation in tech and affordable analytics tools. The growth of the region will further accelerate by 2032 as enterprises will crave for scalable and low-code analytics that facilitate real-time decision making and localization.
Europe's growth in the low-code embedded analytics market is owing to the exponentially increasing adoption of them in banking, manufacturing, and healthcare. Demand for secure analytics solutions is growing due to regulatory compliance (such as GDPR). The uptake of low-code analytics will continue to widen through 2032 as organizations look to spread the benefits of digital transformation initiatives and enterprise AI narratives throughout the region.
Germany leads the European market due to its strong industrial base, early enterprise digitalisation, and analytics applications in manufacturing and automotive sectors. Germany will continue to be a dominant force in the adoption of embedded analytics between 2025 and 2032 and there are rising investments in Industry 4.0 and increasing need for real time insights into operational action.
The major low-code embedded analytics market companies are Microsoft Corporation, Salesforce Inc., Google LLC, Amazon Web Services, QlikTech International AB, Sisense Inc., TIBCO Software Inc., SAP SE, Oracle Corporation, Zoho Corporation Pvt. Ltd., Domo Inc., MicroStrategy Incorporated, Infor, GoodData Corporation, ThoughtSpot Inc., Logi Analytics, Looker Data Sciences LLC, Yellowfin International Pty Ltd, Appian Corporation, InsightSoftware, and others.
April 2024: Microsoft introduced AI Copilot features in Power Fx, enabling natural language formula generation for low-code embedded analytics.
March 2024: Sisense launched Compose SDK for Fusion to enable embedded analytics via code-first integration.
March 2025: Appian launched version 25.1 with large-scale record handling for on-prem analytics
|
Report Attributes |
Details |
|
Market Size in 2024 |
US$ 14.9 Billion |
|
Market Size by 2032 |
US$ 34.0Billion |
|
CAGR |
CAGR of 10.89% 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 Deployment (Cloud-Based Platforms, On-Premises Platforms) |
|
Regional Analysis/Coverage |
North America (US, Canada), Europe (Germany, France, UK, Italy, Spain, Poland, Rest of Europe), Asia Pacific (China, India, Japan, South Korea, ASEAN Countries, Australia, Rest of Asia Pacific), Middle East & Africa (UAE, Saudi Arabia, Qatar,Egypt, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Mexico, Colombia, Rest of Latin America) |
|
Company Profiles |
Microsoft Corporation, Salesforce Inc., Google LLC, Amazon Web Services, QlikTech International AB, Sisense Inc., TIBCO Software Inc., SAP SE, Oracle Corporation, Zoho Corporation Pvt. Ltd., Domo Inc., MicroStrategy Incorporated, Infor, GoodData Corporation, ThoughtSpot Inc., Logi Analytics, Looker Data Sciences LLC, Yellowfin International Pty Ltd, Appian Corporation, InsightSoftware and others in the report |
Ans- The expected CAGR of the Low-Code Embedded Analytics Market over 2025-2032 is 10.89%.
Ans- The low-code embedded analytics market size was valued at USD 14.9 billion in 2024 and is expected to reach USD 34.0 billion by 2032
Ans- Rising Demand for Real-Time Decision-Making Leads to Increased Adoption of Self-Service Low-Code Embedded Analytics Platforms
Ans- The Cloud-Based Platforms segment dominated the market in 2024 and accounted for 75% of the low-code embedded analytics market share
Ans- The North America region dominated the Low-Code Embedded Analytics Market with 34% of revenue share in 2024.
Table Of Contents
1. Introduction
1.1 Market Definition & Scope
1.2 Research Assumptions & Abbreviations
1.3 Research Methodology
2. Executive Summary
2.1 Market Snapshot
2.2 Market Absolute $ Opportunity Assessment & Y-o-Y Analysis, 2021–2032
2.3 Market Size & Forecast, By Segmentation, 2021–2032
2.3.1 Market Size By Deployment
2.3.2 Market Size By Enterprise Size
2.3.3 Market Size By Application
2.3.4 Market Size By End-User
2.4 Market Share & Bps Analysis By Region, 2024
2.5 Industry Growth Scenarios – Conservative, Likely & Optimistic
2.6 Industry CxO’s Perspective
3. Market Overview
3.1 Market Dynamics
3.1.1 Drivers
3.1.2 Restraints
3.1.3 Opportunities
3.1.4 Key Market Trends
3.2 Industry PESTLE Analysis
3.3 Key Industry Forces (Porter’s) Impacting Market Growth
3.4 Industry Supply Chain Analysis
3.4.1 Raw Material Suppliers
3.4.2 Manufacturers
3.4.3 Distributors/Suppliers
3.4.4 Customers/End-Userrs
3.5 Industry Life Cycle Assessment
3.6 Parent Market Overview
3.7 Market Risk Assessment
4. Statistical Insights & Trends Reporting
4.1 Analytical Velocity & Time-To-Decision Metrics
4.1.1 Median Time From Data Generation To Actionable Insight (In Minutes)
4.1.2 % Reduction In Decision-Making Time Due To Embedded Analytics
4.1.3 Frequency Of Real-Time Vs. Batch Analytics Usage
4.1.4 Time-To-First-Dashboard For Non-Technical Users (Avg. Hours)
4.1.5 Response Latency Difference Between Embedded And Traditional Bi Tools
4.2 Intelligence Diffusion Metrics
4.2.1 % Of Business Users Accessing Analytics Directly Through Operational Interfaces
4.2.2 Share Of Embedded Analytics Accessed Via Mobile Or Touch Interfaces
4.2.3 Cross-Departmental Dashboard Usage Rate
4.2.4 % Of Daily Operational Tasks Influenced By Embedded Analytics
4.2.5 Average Number Of Analytics Users Per 100 Employees In Low-Code Ecosystems
4.3 Citizen Developer Impact Index
4.3.1 % Of Analytical Modules Developed Without Professional It Support
4.3.2 Increase In Analytics Adoption After Low-Code Enablement
4.3.3 Training Hours Saved Per Employee With Drag-And-Drop Analytics Tools
4.3.4 Citizen Developer Contribution To Embedded Analytics (% Of Total Deployments)
4.3.5 Error Rate Decline In Reports Created Via Templated Low-Code Platforms
4.4 Contextual Embedding Effectiveness
4.4.1 % Of Users Engaging With Insights Within Workflow Tools (Crms, Erps, Etc.)
4.4.2 Task Completion Acceleration Due To In-App Analytics Prompts (%)
4.4.3 Click-Through Improvement On Insights Triggered In Embedded Reports
4.4.4 Frequency Of Contextual Alerts Generated Per 1000 User Sessions
4.4.5 Business Outcome Improvement Linked To Contextual Analytics (% Revenue Gain, Cost Saving)
4.5 Vendor-Specific Metrics & Platform Extensibility
4.5.1 Number Of Pre-Integrated Data Connectors Per Platform
4.5.2 Average Number Of Active Users Per Client For Top 10 Vendors
4.5.3 Platform Extensibility Score (Scale Of 1–10, Based On Plugin/Add-On Ecosystem)
4.5.4 Share Of Open-Source Vs. Proprietary Low-Code Analytics Engines
4.5.5 Average Customer Tenure (In Months) Per Major Vendor
5. Low-Code Embedded Analytics Market Segmental Analysis & Forecast, By Deployment, 2021 – 2032, Value (Usd Billion) & Volume (Unit)
5.1 Introduction
5.2 Cloud-Based Platforms
5.2.1 Key Trends
5.2.2 Market Size & Forecast, 2021 – 2032
5.3 On-Premises Platforms
5.3.1 Key Trends
5.3.2 Market Size & Forecast, 2021 – 2032
6. Low-Code Embedded Analytics Market Segmental Analysis & Forecast, By Enterprise Size, 2021 – 2032, Value (Usd Billion) & Volume (Unit)
6.1 Introduction
6.2 Cryptographic Technique
6.2.1 Key Trends
6.2.2 Market Size & Forecast, 2021 – 2032
6.3 Anonymization Technique
6.3.1 Key Trends
6.3.2 Market Size & Forecast, 2021 – 2032
6.4 Pseudonymization Techniques
6.4.1 Key Trends
6.4.2 Market Size & Forecast, 2021 – 2032
7. Low-Code Embedded Analytics Market Segmental Analysis & Forecast, By Application, 2021 – 2032, Value (Usd Billion) & Volume (Unit)
7.1 Introduction
7.2 CRM Analytics
7.2.1 Key Trends
7.2.2 Market Size & Forecast, 2021 – 2032
7.3 Supply Chain Analytics
7.3.1 Key Trends
7.3.2 Market Size & Forecast, 2021 – 2032
7.4 Marketing Analytics
7.4.1 Key Trends
7.4.2 Market Size & Forecast, 2021 – 2032
7.5 Financial Analytics
7.5.1 Key Trends
7.5.2 Market Size & Forecast, 2021 – 2032
7.6 HR Analytics
7.6.1 Key Trends
7.6.2 Market Size & Forecast, 2021 – 2032
8. Low-Code Embedded Analytics Market Segmental Analysis & Forecast, By End-User, 2021 – 2032, Value (Usd Billion) & Volume (Unit)
8.1 Introduction
8.2 IT & Telecom
8.2.1 Key Trends
8.2.2 Market Size & Forecast, 2021 – 2032
8.3 Retail
8.3.1 Key Trends
8.3.2 Market Size & Forecast, 2021 – 2032
8.4 Banking Financial Services & Insurance
8.4.1 Key Trends
8.4.2 Market Size & Forecast, 2021 – 2032
8.5 Manufacturing
8.5.1 Key Trends
8.5.2 Market Size & Forecast, 2021 – 2032
8.6 Healthcare
8.6.1 Key Trends
8.6.2 Market Size & Forecast, 2021 – 2032
9. Low-Code Embedded Analytics Market Segmental Analysis & Forecast By Region, 2021 – 2032, Value (Usd Billion) & Volume (Unit)
9.1 Introduction
9.2 North America
9.2.1 Key Trends
9.2.2 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.2.3 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.2.4 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.2.5 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.2.6 Low-Code Embedded Analytics Market Size & Forecast, By Country, 2021 – 2032
9.2.6.1 USA
9.2.6.1.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.2.6.1.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.2.6.1.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.2.6.1.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.2.6.2 Canada
9.2.6.2.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.2.6.2.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.2.6.2.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.2.6.2.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.3 Europe
9.3.1 Key Trends
9.3.2 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.3.3 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.3.4 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.3.5 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.3.6 Low-Code Embedded Analytics Market Size & Forecast, By Country, 2021 – 2032
9.3.6.1 Germany
9.3.6.1.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.3.6.1.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.3.6.1.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.3.6.1.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.3.6.2 UK
9.3.6.2.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.3.6.2.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.3.6.2.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.3.6.2.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.3.6.3 France
9.3.6.3.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.3.6.3.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.3.6.3.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.3.6.3.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.3.6.4 Italy
9.3.6.4.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.3.6.4.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.3.6.4.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.3.6.4.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.3.6.5 Spain
9.3.6.5.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.3.6.5.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.3.6.5.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.3.6.5.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.3.6.6 Russia
9.3.6.6.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.3.6.6.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.3.6.6.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.3.6.6.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.3.6.7 Poland
9.3.6.7.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.3.6.7.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.3.6.7.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.3.6.7.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.3.6.8 Rest of Europe
9.3.6.8.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.3.6.8.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.3.6.8.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.3.6.8.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.4 Asia-Pacific
9.4.1 Key Trends
9.4.2 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.4.3 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.4.4 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.4.5 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.4.6 Low-Code Embedded Analytics Market Size & Forecast, By Country, 2021 – 2032
9.4.6.1 China
9.4.6.1.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.4.6.1.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.4.6.1.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.4.6.1.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.4.6.2 India
9.4.6.2.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.4.6.2.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.4.6.2.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.4.6.2.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.4.6.3 Japan
9.4.6.3.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.4.6.3.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.4.6.3.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.4.6.3.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.4.6.4 South Korea
9.4.6.4.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.4.6.4.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.4.6.4.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.4.6.4.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.4.6.5 Australia
9.4.6.5.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.4.6.5.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.4.6.5.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.4.6.5.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.4.6.6 ASEAN Countries
9.4.6.6.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.4.6.6.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.4.6.6.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.4.6.6.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.4.6.7 Rest of Asia-Pacific
9.4.6.7.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.4.6.7.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.4.6.7.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.4.6.7.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.5 Latin America
9.5.1 Key Trends
9.5.2 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.5.3 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.5.4 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.5.5 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.5.6 Low-Code Embedded Analytics Market Size & Forecast, By Country, 2021 – 2032
9.5.6.1 Brazil
9.5.6.1.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.5.6.1.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.5.6.1.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.5.6.1.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.5.6.2 Argentina
9.5.6.2.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.5.6.2.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.5.6.2.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.5.6.2.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.5.6.3 Mexico
9.5.6.3.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.5.6.3.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.5.6.3.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.5.6.3.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.5.6.4 Colombia
9.5.6.4.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.5.6.4.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.5.6.4.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.5.6.4.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.5.6.5 Rest of Latin America
9.5.6.5.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.5.6.5.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.5.6.5.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.5.6.5.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.6 Middle East & Africa
9.6.1 Key Trends
9.6.2 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.6.3 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.6.4 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.6.5 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.6.6 Low-Code Embedded Analytics Market Size & Forecast, By Country, 2021 – 2032
9.6.6.1 UAE
9.6.6.1.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.6.6.1.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.6.6.1.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.6.6.1.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.6.6.2 Saudi Arabia
9.6.6.2.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.6.6.2.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.6.6.2.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.6.6.2.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.6.6.3 Qatar
9.6.6.3.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.6.6.3.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.6.6.3.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.6.6.3.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.6.6.4 Egypt
9.6.6.4.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.6.6.4.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.6.6.4.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.6.6.4.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.6.6.5 South Africa
9.6.6.5.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.6.6.5.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.6.6.5.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.6.6.5.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
9.6.6.6 Rest of Middle East & Africa
9.6.6.6.1 Low-Code Embedded Analytics Market Size & Forecast, By Deployment, 2021 – 2032
9.6.6.6.2 Low-Code Embedded Analytics Market Size & Forecast, By Enterprise Size, 2021 – 2032
9.6.6.6.3 Low-Code Embedded Analytics Market Size & Forecast, By Application, 2021 – 2032
9.6.6.6.4 Low-Code Embedded Analytics Market Size & Forecast, By End-User, 2021 – 2032
10. Competitive Landscape
10.1 Key Players' Positioning
10.2 Competitive Developments
10.2.1 Key Strategies Adopted (%), By Key Players, 2024
10.2.2 Year-Wise Strategies & Development, 2021 – 2025
10.2.3 Number Of Strategies Adopted By Key Players, 2024
10.3 Market Share Analysis, 2024
10.4 Product/Service & Enterprise Size Benchmarking
10.4.1 Product/Service Specifications & Features By Key Players
10.4.2 Product/Service Heatmap By Key Players
10.4.3 Enterprise Size Heatmap By Key Players
10.5 Industry Start-Up & Innovation Landscape
10.6 Key Company Profiles
10.6 Key Company Profiles
10.6.1 Microsoft Corporation
10.6.1.1 Company Overview & Snapshot
10.6.1.2 Product/Service Portfolio
10.6.1.3 Key Company Financials
10.6.1.4 SWOT Analysis
10.6.2 Salesforce Inc.
10.6.2.1 Company Overview & Snapshot
10.6.2.2 Product/Service Portfolio
10.6.2.3 Key Company Financials
10.6.2.4 SWOT Analysis
10.6.3 Google LLC
10.6.3.1 Company Overview & Snapshot
10.6.3.2 Product/Service Portfolio
10.6.3.3 Key Company Financials
10.6.3.4 SWOT Analysis
10.6.4 Amazon Web Services
10.6.4.1 Company Overview & Snapshot
10.6.4.2 Product/Service Portfolio
10.6.4.3 Key Company Financials
10.6.4.4 SWOT Analysis
10.6.5 QlikTech International AB
10.6.5.1 Company Overview & Snapshot
10.6.5.2 Product/Service Portfolio
10.6.5.3 Key Company Financials
10.6.5.4 SWOT Analysis
10.6.6 Sisense Inc.
10.6.6.1 Company Overview & Snapshot
10.6.6.2 Product/Service Portfolio
10.6.6.3 Key Company Financials
10.6.6.4 SWOT Analysis
10.6.7 TIBCO Software Inc
10.6.7.1 Company Overview & Snapshot
10.6.7.2 Product/Service Portfolio
10.6.7.3 Key Company Financials
10.6.7.4 SWOT Analysis
10.6.8 SAP SE
10.6.8.1 Company Overview & Snapshot
10.6.8.2 Product/Service Portfolio
10.6.8.3 Key Company Financials
10.6.8.4 SWOT Analysis
10.6.9 Oracle Corporation
10.6.9.1 Company Overview & Snapshot
10.6.9.2 Product/Service Portfolio
10.6.9.3 Key Company Financials
10.6.9.4 SWOT Analysis
10.6.10 Zoho Corporation Pvt. Ltd
10.6.10.1 Company Overview & Snapshot
10.6.10.2 Product/Service Portfolio
10.6.10.3 Key Company Financials
10.6.10.4 SWOT Analysis
10.6.11 Domo Inc.
10.6.11.1 Company Overview & Snapshot
10.6.11.2 Product/Service Portfolio
10.6.11.3 Key Company Financials
10.6.11.4 SWOT Analysis
10.6.12 MicroStrategy Incorporated
10.6.12.1 Company Overview & Snapshot
10.6.12.2 Product/Service Portfolio
10.6.12.3 Key Company Financials
10.6.12.4 SWOT Analysis
10.6.13 Infor, GoodData Corporation
10.6.13.1 Company Overview & Snapshot
10.6.13.2 Product/Service Portfolio
10.6.13.3 Key Company Financials
10.6.13.4 SWOT Analysis
10.6.14 ThoughtSpot Inc
10.6.14.1 Company Overview & Snapshot
10.6.14.2 Product/Service Portfolio
10.6.14.3 Key Company Financials
10.6.14.4 SWOT Analysis
10.6.15 Logi Analytics
10.6.15.1 Company Overview & Snapshot
10.6.15.2 Product/Service Portfolio
10.6.15.3 Key Company Financials
10.6.15.4 SWOT Analysis
10.6.16 Looker Data Sciences LLC
10.6.16.1 Company Overview & Snapshot
10.6.16.2 Product/Service Portfolio
10.6.16.3 Key Company Financials
10.6.16.4 SWOT Analysis
10.6.17 Yellowfin International Pty Ltd
10.6.17.1 Company Overview & Snapshot
10.6.17.2 Product/Service Portfolio
10.6.17.3 Key Company Financials
10.6.17.4 SWOT Analysis
10.6.18 Appian Corporation
10.6.18.1 Company Overview & Snapshot
10.6.18.2 Product/Service Portfolio
10.6.18.3 Key Company Financials
10.6.18.4 SWOT Analysis
10.6.19 InsightSoftware
10.6.19.1 Company Overview & Snapshot
10.6.19.2 Product/Service Portfolio
10.6.19.3 Key Company Financials
10.6.19.4 SWOT Analysis
10.6.20 Mendix
10.6.20.1 Company Overview & Snapshot
10.6.20.2 Product/Service Portfolio
10.6.20.3 Key Company Financials
10.6.20.4 SWOT Analysis
11. Analyst Recommendations
11.1 SNS Insider Opportunity Map
11.2 Industry Low-Hanging Fruit Assessment
11.3 Market Entry & Growth Strategy
11.4 Analyst Viewpoint & Suggestions On Market Growth
12. Assumptions
13. Disclaimer
14. Appendix
14.1 List Of Tables
14.2 List Of Figures
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 Deployment
Cloud-Based Platforms
On-Premises Platforms
By Enterprise Size
Large Enterprises
Small and Medium-sized Enterprises
By Application
CRM Analytics
Supply Chain Analytics
Marketing Analytics
Financial Analytics
HR Analytics
By Industry
IT & Telecom
Retail
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Manufacturing
Healthcare
Others
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US
Canada
Europe
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France
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Italy
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Poland
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Rest of Europe
Asia Pacific
China
India
Japan
South Korea
ASEAN Countries
Australia
Rest of Asia Pacific
Middle East & Africa
UAE
Saudi Arabia
Qatar
Egypt
South Africa
Rest of Middle East & Africa
Latin America
Brazil
Argentina
Mexico
Colombia
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. Component X Application)
Competitive Component Benchmarking
Geographic Analysis
Additional countries in any of the regions
Customized Data Representation
Detailed analysis and profiling of additional market players