Best data analytics services companies 2026 (updated)

What services can you expect from data analytics companies?

Data analytics services companies help you draw useful inferences from data to find trends and patterns within, which could lead to informed decision-making. Some of the services data analytics companies offer include:

Consulting and strategy: Not every company has its data journey sorted together. They need help to kickstart their journey or move to the next step. When firms offer data analytics consulting services through data consultants, its much easier to figure out the path beyond—sketching a custom-made, cost-effective, and practical data adoption solution.

Data engineering, management, and governance: Data trapped in legacy systems, no centralized data storage or management, unclear policies or governance issues, all of this require a data engineering service providers to look into. Data engineers and analysts can build a unified data platform like single source of truth, architect data warehouse, lake, and lakehouse solutions, and establish a strong foundation and help you reap all advantages of data analytics.

Data visualization: Modern organizations want instant information delivered through enterprise analytics solutions or enterprise BI solutions. Having certified BI experts can help you get powerful and interactive dashboards, adhering to self service analytics best practices, connecting different data sources using tools such as Tableau, Qlik, or Power BI.

Descriptive and prescriptive analytics: Descriptive analytics is looking back into the historical data, analyzing, and explaining what has happened in the past. prescriptive analytics goes into the future, offering actionable recommendations to attain ideal incomes. Data analytics companies help you leverage both with the help of thoroughly designed data science solutions and use cases.

Machine learning and AI: AI is no longer a stand-alone tech stack. Most growing companies expect AI-powered analytics, GPT/LLM integration in analytics, and AI integration and automation into day-to-day systems and workflows. A best data analytics company must be able to build from foundational to large language models. Some examples include document processing, speech recognition and summarization, financial risk monitoring models, and more.

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Factors we considered for listing

The list below contains the top 16 data analytics companies offering the above list of services—more or less. While there could be more companies globally, the list has been limited to 16 nos for the following reasons. 1. To not overwhelm you with too many data. 2. To get you the best among the rest based on a few criteria and evaluation from our team. Following are the factors we considered that helped us pick the data analytics companies listed below.

• A strong global presence and a growing team with diverse skills and specialties, which is very important to consider in the tech services sector.

• How wide are their offerings - do they cover everything from data discovery and extraction to data consulting to advanced analytics and AI? More weightage has been given to companies who offer all-inclusive services. These companies are more beneficial to customers who rely on them to find the right solution that suits their needs.  

• Expertise and capabilities include the array of problems they have solved, diverse solutions and industries they catered to, tech partnerships, proficiency with the latest technologies, concepts, and tools, and their ability to scale to accommodate customers' changing needs.

• Customer-centric mindset and the record of satisfied customers that acts as proof for company reputation (based on their customer reviews, testimonials, and feedback shared on different platforms).

• How flexible are their solutions and whether they customize depending on the customer they work with, as a one-size-fits-all approach doesn’t work for tech services. 

We have also presented a mix of small, medium, and large enterprises, which can be useful for you in finding the right partner. Dive into the list below and explore the list of best data analytics companies (not ranked in any way), what do they offer, which industries they work with, and the best way to reach them. 

Indatalabs

Incepted in 2014, Indatalabs is one of the best data analytics service providers with its own R&D center. Their core strength lies around big data, machine learning, and artificial intelligence. With a good number of data scientists, analysts, and architects, they have solved many business problems for their clients, making processes more optimized and efficient.

Also, they have been featured in mediums like Clutch, Good Firms, and Top Developers for being a good B2B service provider.

Industries

Indatalabs focuses on industries like manufacturing, retail, healthcare, financial services, logistics, etc. 

Projects

• Integrated ads management solution 

• Freight price prediction software design & development

• Customer sentiment analysis

• Customer 360 solution

• Predictive analytics and forecasting

• Data lake implementation for real-time BI

Social media: LinkedIn

Website: Indatalabs

Recommended read: What is data lineage?

Latentview data analytics and services

With their decades of experience, Latentview specializes in business analytics, data science, and machine learning. They help businesses harness the power of data and analytics by empowering them to have an all-around view of their customers.

Other than offering custom data science and AI services, they have a wide range of solutions and platforms, like LASER which acts like an internal search engine, or OneCustomerView for personalized marketing targeting. 

Industries

• Tech

• CPG

• Financial services

• Supply chain

• Industrials

Projects

• Demand forecasting 

• Advanced marketing analytics

• Customer lifetime value analysis using ML

• Customer demand analysis through social media

• Anomaly detection

• Product analytics

Website: Latentview

Social media: LinkedIn 

Kanerika

Kanerika, a fast-growing AI company, delivers outcome-focused AI and machine learning solutions across industries—with their intuitive agents like Alan (legal summarizer), Susan (PII redactor), and Mike (quantitative proofreader). They have developed IMPACT methodology, through which tackled real-world challenges from fraud detection and predictive maintenance to seasonal demand forecasting and workflow automation.

Industries

• BFSI

• Logistics and supply chain

• Manufacturing

• Retail & FMCG

• Projects

• AI/ML and Gen AI

Website: Kanerika

Social media: LinkedIn

Analytics8

Another fast-growing data and analytics company, they offer data analytics services from consulting to modernization.

They do so by partnering with major technologies like AWS, Google Cloud, Databricks, etc. They also have launched products and platforms like SpendView which shows the entire spend analytics of the company.

With their unique approach to successful data analytics execution, they ensure quick and timely delivery of an apt analytics solution.

Industries

• Financial services

• Healthcare

• Life sciences

• Retail

• Manufacturing

Projects

• Modern sales analytics

• Embedded analytics 

• Integrated data for a unified view across the company

• Real-time measurement of supply chain performance

• Data warehousing and BI implementation

Website: Analytics8

Social media: LinkedIn

Pixelplex

Pixelplex provides a group of blockchain, AI, and data solutions and data analytics is one of them. Under data and analytics, they offer everything from decision support to predictive analytics to advanced analytics solutions.  

They work with almost every type of company including startups, Fortune 500 companies, and government agencies.

Industries

• Finance

• Real estate

• Retail

• Education

• Healthcare

• Supply chain

• Manufacturing

Projects

• Customer behavioral tracking and sales forecasting

• NFT price prediction and tracking and risk assessment

• Comprehensive health tracking and auto-wellness suggestions

• Shipment tracking and reporting for the supply chain

Social media: LinkedIn

Website: Pixelplex

Systango

Systango offers a bouquet of services that include data analytics, data engineering,  and custom AI development. To empower digital transformation in businesses, they solve pressing challenges of businesses like churn reduction, forecasting, and other modern problems of all functional areas. More details as follows:

Industries

• Fintech

• Fantasy sports

• Public sector

• Edtech

• Travel & Hospitality

Projects

• Demand forecasting

• Churn reduction 

• Customer segmentation

Website: Systango 

Social media: LinkedIn 

NTT Data

NTT Data is a global tech services company offering services like SAP, cloud, and data & intelligence. Under D&I, they cover everything from advisory to architecture to analytics as a service and business intelligence.

Being a pioneer innovator with 50+ years of experience, they also show importance to R&D on advanced technologies. 

Industries

• Automative

• Healthcare

• Financial services

• Manufacturing

• Life sciences & pharma

• Telecom & Media

Projects

• Data mesh implementation

• Data mesh and data fabric implementation

• Data intelligence and reporting

• Single source of truth

• Online Fraud detection

• Pricing prediction

Website: NTT Data

Social media: LinkedIn

EXL data analytics and services

EXL Services is an IT services company that promotes data-led transformation through its services. They offer advanced analytics and AI services. 

Gartner recognizes them as peer insights for data analytics for three years in rows based on customers’ choices.  

Industries

• Banking and capital markets

• Insurance

• Health and life science

• Utilities 

• etc

Projects

• Marketing Analytics

• Operating analytics

• Risk and compliance analytics

• Customer analytics

Website: EXL Data

Social media: LinkedIn

Mastech InfoTrellis Data and Analytics Services

Mastech InfoTrellis is a pure-play data analytics company providing end-to-end solutions to data challenges. Their bouquet of services encompasses data integration to master data management to analytics and AI. 

Industries

• Automobile

• Manufacturing

• Publishing

• Tech

Projects

• Predictive analytics

• Customer MDM

• Knowledge graphs

• Graph analytics

Website: Mastech InfoTrellis Data

Social media: LinkedIn

Sigmoid

Sigmoid is a data engineering, analytics, and AI consulting company. They offer fast and reliable insights for data-driven decision-making through powerful analytics solutions. Other than custom data services, they have accelerator platforms with pre-built analytics assets. 

Industries

• Consumer goods

• Financial services

• Industrials

• Media

• Life sciences

Projects

• Supply chain analytics

• Marketing Analytics

• Customer analytics

• Customer 360 platform

Website: Sigmoid

Social media: LinkedIn 

Recommended read: What is text analytics?

DXC technology

DXC Tech is a global tech services company named as a leader by ISG in data engineering, analytics, and science services. 

Other than infrastructure, advanced analytics, and AI, they render out-and-out industrial tech solutions from cloud migration to data management to cybersecurity.

Industries

• Automotive

• Banking and capital markets

• Insurance

• Manufacturing

• Public sector

• etc.

Projects

• Market trends prediction

• Insights support

• Gen AI

• Predictive maintenance

Website: DXC Technology

Social media: LinkedIn 

Uneecops Data and Analytics Services

Uneecops is a digital transformation services provider. Other than business consulting and ERP, they provide enterprise analytics and BI services for multiple industries.  With their unique approach to data analytics and science, they render customized data intelligence and embedded analytics. 

Industries

• Retail

• Logistics and warehousing

• Electronics

• Packaging

• Automotive 

• etc.

Projects

• Personalized insights delivery

• Self-service analytics

• Customer analytics

Website: Uneecops Data and analytics

Social media: LinkedIn

Boston Consulting Group Data and Analytics Services

A business consulting service with over 50+ years of experience, BCG offers data analytics services and AI solutions.  

This is how they approach enterprise data—data and digital platforms —which helps business leaders have instant access to the information they want. 

Industries

• Automotive

• Retail

• Trasportation and logistics

• Consumer products industry

• Healthcare sector

• etc

Website: BCG

Social media: LinkedIn

Bain & Company Data and Analytics Services

Bain & Company is a business consulting firm with a global footprint over 40 countries. Their digital team provides advanced analytics, enterprise tech, and design solutions to fulfill your digital ambition. With a team of 200+ analysts and engineers, they are helping you attain digital transformation.

Industries

• Financial services

• Supply chain

• Social and public sector

• Energy and natural resources

• Machinery and equipment

• etc.

Projects

• Demand forecasting

• Dynamic marketing optimization

• Advanced analytics

Website: Bain & Company

Social media: LinkedIn

Capgemini 

Capgemini, being one of the leading players in the IT and enterprise management company offers enterprise data and analytics solutions too. Their services cover the entire data lifecycle, from data infrastructure and governance to AI and gen AI.

Industries

• Automotive 

• Consumer products

• Healthcare

• Hospitality and travel

• Life sciences

• etc.

Projects

• Data strategy

• People analytics

• Data-driven risk management

Website: Capgemini

Social media: LinkedIn

Thirdeye data

Thirdeye Data is a silicon-valley-based data analytics company providing comprehensive data engineering, science, and AI solutions. They build custom applications, develop proof of concepts, and help with big data implementation and decision support. Their experience has led them to develop innovative platforms like Safera, crime prediction software, Syra, a conversational chatbot, and many more.

Industries

• Retail

• Energy, oil, and gas

• IT

• NGO

• Adtech 

• etc.

Projects

• Insights and decision support

• Insurance analytics

• Sentiment analysis

• Customer churn prediction

• Contact center analytics

• Custom application development

Website: Thirdeye data

Social media: LinkedIn

Final thoughts

Every organization is investing in industry-specific analytics solutions and use cases no matter how big or small they are. This is no longer a nice to have but a global benchmark.

If you are planning to transform your business operations and stay ahead of the competition, this is the right time to invest in data analytics and reach out to data consulting companies.

From setting up the right data architecture (like Snowflake architecture cloud data warehouse) to personalizing and hyper-targeting your marketing efforts to aligning operations in line with market trends, data analytics can help you do it all.

To start with, you require the right tech partner—one of the best data analytics companies with expertise in solving problems similar to yours. 

One such partner with both domain and data analytics knowledge is datakulture. We are a pure-play data analytics company meeting every requirement of yours in terms of data—right from devising a strategy to optimizing infrastructure to building AI-based solutions that improve the bottom line. 

The good part? We help you find what your company needs and what are the capabilities of your data through discovery calls. We analyze and identify the problem, present the ideal solution, pick the apt technology, and deliver the solution within reasonable timelines. 

Skim through our case studies to find out how our team has solved data challenges for growing companies and enterprises.

Frequently asked questions

1. How do I choose the best data analytics company for my business needs? When you select a data analytics services partner, look for a provider with experience in your industry, end-to-end service offerings (from data strategy to BI/AI), proven case studies, and a flexible, customer-centric approach and offer tailor-made solutions. Make sure that you know your requirements and goals clearly before choosing a provider.

2. What are some of the best data analytics companies? Some of the best data analytics companies include datakulture, Accenture, BCG, Capgemini, DXC Technologies, Deloitte, Fractal, and more. These are some of the top specialist service providers 2026 in the data and AI sector with proven expertise, global delivery centers, and high success rate against delivering advanced analytics and AI solutions.

3. What services should a top data analytics company offer? The services top data analytics companies offer are data engineering (building a single source of truth), data analytics consulting, dashboard & reporting solutions, advanced analytics/AI, etc. Leading data analytics companies like datakulture usually cover the entire data lifecycle - from integration to visualization to machine learning.

4. How much do data analytics services cost, and how should I budget? Data analytics services costs usually vary by project scope (pilot vs. enterprise rollout) and by provider (boutique vs. large firm). With common models, there will be fixed project fee, monthly retainer, or outcome-based. But one thing that most data analytics project budgets don’t talk about is the ROI, which justifies the investment in the form of speed, more efficiency, better decisions, etc.

5. What ROI can we expect from partnering with a data analytics firm? The ROI you can expect by partnering with data analytics firms are improved KPIs, cost savings through process optimization, increased customer signups or revenue, more savings, right decisions taken on time, and more. More than 90% of organisations see great benefits from analytics investments. Some of our clients have reported 5% improved fraud detection accuracy, 15% reduced labor movement in warehouse, 50% savings in cloud spending, and more. You can check more of our data analytics success stories here.

6. Should we choose a local analytics provider or a global partner? When you look for a analytics provider, it's always wise to choose someone with global expertise and scale. But certain companies require immediate availability and local presence for better connectivity and that's fine too. The best choice is a provider who has a strong global track record and can customize to your locale.

7. What questions should I ask a potential data analytics vendor before signing? Some questions you can ask your data analytics service provider are “Can you share success stories in our industry?” “What is your approach to building dashboards or single source of truth systems?” “How do you ensure data security and compliance?” Asking these helps gauge capability and fit. You can contact our team for a quick consulting or take up a quick free AI readiness assessment.