Top 10 Leading Big Data Companies in Singapore

Singapore has rapidly evolved into one of Asia’s leading data-driven economies — and big data sits at the center of that transformation.

Supported by initiatives like Smart Nation, Singapore has made data intelligence a key pillar of national competitiveness. Businesses across finance, healthcare, logistics, and retail are investing heavily in AI, predictive analytics, and data integration to enhance decision-making and customer engagement.

This growth has created a thriving ecosystem of big data companies in Singapore, offering world-class solutions that blend data science, cloud technology, and machine learning — helping organizations move from raw data to real business intelligence.

Top 10 Leading Big Data Companies in Singapore

Below is a curated list of the top 10 big data companies in Singapore, selected based on their innovation, impact, and ability to deliver measurable results across multiple industries.

1. Meiro — Unifying Customer Data Across Every Touchpoint

Meiro has positioned itself as one of Singapore’s most forward-thinking customer data integration companies. Their flagship product, Meiro CDP (Customer Data Platform), addresses one of the biggest challenges facing enterprises today — data fragmentation.

By consolidating data from multiple sources — CRM, marketing automation tools, web analytics, and offline systems — Meiro helps businesses create a single, unified customer view. This empowers marketing and customer experience teams to design hyper-personalized journeys that drive engagement and retention.

Unlike many CDPs that focus solely on marketing automation, Meiro’s strength lies in its data flexibility and real-time segmentation, which enable enterprises to act instantly on behavioral insights. The company’s commitment to privacy-first architecture and GDPR compliance further enhances its reputation among global clients in sectors like retail, finance, and telecom.

Expert insight: In a market where customer data sits across dozens of silos, Meiro’s ability to bridge these gaps gives businesses a significant competitive advantage.

2. Advance.AI — AI and Big Data for Financial Intelligence

Advance.AI is one of Singapore’s most influential players in the AI and data-driven technology landscape, serving over 500 enterprise clients across Asia Pacific. The company specializes in combining big data analytics, computer vision, and credit scoring models to help financial institutions automate decision-making and manage risk more effectively.

Their platform supports real-time identity verification, fraud detection, and credit assessment, enabling banks and fintechs to onboard customers securely while improving operational efficiency. With a presence in Indonesia, Vietnam, India, and China, Advance.AI demonstrates strong regional scalability — an increasingly vital factor in Asia’s expanding digital economy.

Expert insight: What sets Advance.AI apart is its focus on data ethics and localized AI models that adapt to market-specific regulatory and linguistic contexts — a major differentiator in Southeast Asia.

3. Pulsifi — Consumer data analytics companies

Pulsifi blends organizational psychology, data science, and AI to revolutionize how companies understand and nurture human potential.

Its proprietary platform analyzes behavioral traits, cognitive abilities, and past performance data to help HR teams make evidence-based hiring and development decisions.

By combining psychometric data with performance outcomes, Pulsifi’s predictive models deliver a 90%+ accuracy rate in assessing candidate–role fit. This not only improves recruitment efficiency but also enhances long-term employee engagement and retention.

The data analytics platform has gained traction among large organizations in Southeast Asia for its ability to quantify soft skills — one of the most elusive metrics in HR analytics.

Expert insight: Pulsifi’s integration of psychology and AI is a standout example of how big data can humanize talent management — turning intuition into measurable insight.

4. Lynx Analytics — Predictive Intelligence for Customer-Centric Businesses

Founded by ex-telecom data scientists, Lynx Analytics is known for its deep specialization in graph analytics and predictive modeling. The company’s analytics platform helps organizations understand complex customer relationships and anticipate future behaviors — particularly within telecom, finance, and retail.

By leveraging AI-driven network graphs, Lynx enables clients to identify high-value customer clusters, detect churn risks early, and optimize marketing investments through data-backed segmentation.

Their tools are used by leading telcos to predict customer lifetime value and reduce churn rates by up to 20–30%.

Expert insight: Lynx Analytics excels where traditional analytics fall short — in mapping real-world relationships and behaviors that linear data models often miss.

5. Aureus Analytics — Elevating Customer Experience in Insurance

Aureus Analytics focuses on transforming how insurers interact with customers through predictive analytics and machine learning. Their flagship platform, CRUX, processes customer interaction data to deliver real-time sentiment insights and personalized policy recommendations.

By merging structured and unstructured data — from claims to call transcripts — Aureus enables insurers to assess customer satisfaction and loyalty with unprecedented accuracy.

This empowers insurance providers to design better experiences, reduce churn, and increase Customer Lifetime Value (CLV).

Expert insight: In an industry where customer trust defines success, Aureus Analytics gives insurers the data-driven intelligence to shift from reactive to proactive engagement.

6. Tiger Analytics — Turning Data into Competitive Advantage

Tiger Analytics is a global leader in AI and advanced analytics, with a strong footprint in Singapore. Known for its work in data engineering, predictive modeling, and cognitive automation, Tiger Analytics empowers enterprises to make smarter, faster decisions through data-driven intelligence.

Their solutions span financial services, retail, and public sector clients — helping automate complex cognitive tasks and optimize knowledge processes. By combining deep domain expertise with AI-powered analytics,

Tiger has enabled organizations to reduce operational inefficiencies and uncover hidden growth opportunities.

Expert insight: Among big data companies in Singapore, Tiger Analytics stands out for its blend of strategic consulting and technical delivery, giving enterprises a full end-to-end data transformation capability.

7. Crayon Data — Simplifying Data to Enhance Everyday Experiences

Crayon Data focuses on a powerful mission — simplifying data to improve human experiences. Its flagship product, maya.ai, uses advanced algorithms to analyze consumer behavior and deliver personalized digital journeys in sectors like banking, travel, and hospitality.

The company helps businesses cut through data noise by connecting disparate datasets into simple, actionable insights. Crayon Data’s personalization engine has been instrumental for banks and fintech firms seeking to boost customer engagement and loyalty through relevant, data-driven recommendations.

Expert insight: Crayon is a prime example of how big data company in Singapore is driving consumer-centric innovation by merging AI, behavioral science, and data analytics into seamless customer experiences.

8. Tookitaki — Reinventing Financial Compliance with AI and Big Data

Tookitaki has carved a strong niche in the regtech (regulatory technology) sector by using big data and machine learning to transform how financial institutions manage compliance.

Their proprietary platform, AEROS, enables banks to automate anti-money laundering (AML) and reconciliation processes, improving transparency and auditability.

By combining pattern recognition, AI-driven anomaly detection, and data harmonization, Tookitaki helps global financial firms identify suspicious transactions more accurately while reducing false positives. The company’s technology has been adopted by leading banks across Asia and Europe, positioning it as one of the most innovative big data firms in Singapore.

Expert insight: Tookitaki demonstrates how data science can move beyond analytics — redefining compliance as a continuous, intelligent, and auditable process.

9. Prowesstics — Empowering Digital Transformation Through Analytics

Prowesstics combines business intelligence, big data analytics, and cloud integration to accelerate digital transformation for enterprises across sectors.

Their expertise spans data visualization, ETL pipelines, and custom analytics dashboards, giving decision-makers real-time visibility into business performance.

What makes Prowesstics unique is its strong focus on actionable analytics — turning raw data into measurable business outcomes. Their team works closely with clients to tailor analytics frameworks that align with business KPIs, helping organizations achieve better operational control and forecasting accuracy.

Expert insight: As one of the emerging big data companies in Singapore, Prowesstics bridges the gap between technical analytics and business strategy — ensuring data insights lead directly to decisions.

10. Bodhtree — Cloud-First, Data-Driven Enterprise Solutions

Bodhtree is a data and cloud solutions provider known for its ability to integrate analytics seamlessly into enterprise IT ecosystems.

By leveraging cloud computing, data warehousing, and business intelligence, Bodhtree helps organizations modernize legacy systems and extract greater value from their data.

Their services cover data migration, predictive analytics, and cloud-based reporting, making them a trusted partner for enterprises seeking to enhance agility and scalability. Bodhtree’s focus on cloud-native data architectures ensures that its clients can innovate faster while maintaining cost efficiency.

Expert insight: In Singapore’s rapidly evolving analytics landscape, Bodhtree’s hybrid expertise in cloud and big data integration positions it as a key enabler of digital transformation.

FAQs

1. Why are big data companies in Singapore growing so rapidly?

Singapore’s government has heavily invested in digital transformation and data innovation through initiatives like Smart Nation and Digital Economy Framework for Action.
This has created strong demand for data analytics, AI, and machine learning solutions, positioning Singapore as a regional hub for data-driven enterprises across finance, logistics, healthcare, and smart city development.

2. What services do big data analytics companies in Singapore typically provide?

Most big data firms in Singapore offer end-to-end services that include:

• Data collection and integration (from multiple sources and formats)

• Data storage and management (cloud, data lakes, and warehousing)

• Data analytics and visualization

• Predictive modeling and machine learning

• Business intelligence and real-time dashboards

Some also specialize in regtech (regulatory technology), AI-powered personalization, or data-driven marketing platforms.

3. How do I choose the right big data company in Singapore for my business?

When choosing a data partner, consider:

• Industry experience (e.g., finance, telecom, retail, manufacturing)

• Technical expertise in AI, machine learning, or data engineering

• Scalability of their solutions for future data volume growth

• Security compliance, especially if handling financial or customer data

• Integration support with your existing tools or cloud systems

A reliable vendor should act as both a strategic consultant and technical implementer, ensuring the data solution aligns with your business goals.

4. What industries benefit the most from big data analytics in Singapore?

Big data is transforming nearly every industry, but it’s especially impactful in:

• Financial services – fraud detection, credit scoring, compliance (Advance.AI, Tookitaki)

• Telecommunications – customer analytics and churn prediction (Lynx Analytics)

• Retail and e-commerce – personalization and demand forecasting (Crayon Data, Meiro)

• Insurance – predictive modeling for customer retention (Aureus Analytics)

• Public sector – smart city planning and citizen data management (Tiger Analytics)

5. How much does it cost to implement a big data solution in Singapore?

Costs depend on the project’s complexity, infrastructure, and data size:

• Small projects (dashboards, analytics setup): SGD 15,000–40,000

• Mid-scale systems (predictive analytics, cloud migration): SGD 50,000–120,000

• Enterprise-level platforms (AI/ML, data lake): SGD 150,000+

Partnering with offshore or hybrid teams ( an IT Outsourcing company like AMELA Technology) can significantly reduce costs without compromising quality or compliance.

Conclusion

Big data is no longer a niche capability — it’s the foundation of competitive advantage in today’s digital economy. As Singapore continues to strengthen its position as a regional hub for analytics and AI, the demand for skilled data partners will only grow.

Each of the big data companies in Singapore featured above demonstrates how data can be turned into actionable intelligence — from customer personalization (Meiro, Crayon Data) to regulatory compliance (Tookitaki) and predictive business insights (Tiger Analytics, Lynx Analytics).

At AMELA Technology, we share the same vision of helping businesses leverage data to make smarter, faster decisions. Our team specializes in data engineering, analytics dashboard development, and AI-driven automation, supporting clients across the world through flexible offshore development models.

Looking to harness the full potential of your data?
AMELA can help you design, build, and scale a cost-effective data ecosystem that drives growth and innovation.

Editor: AMELA Technology