To showcase the top big data companies in the United States, our team of 12 industry analysts evaluated each listing using five ranking criteria and insights from over 827 verified client reviews, transforming complex data into actionable insights.
Best United States Data Analytics Company Rankings
Organic rankings are determined by five factors: top services, reviews, portfolio, awards/press, and team expertise. Sponsored listings pay for a placement that appears above organic positions. Sponsorship does not affect star ratings or review content - read more on our methodology page.
Matellio is a leading software engineering studio, recognized globally for delivering intelligent solutions powered by Artificial Intelligence and Machine Learning. We specialize in developing customized AI solutions tailored to various needs of businesses under different industry verticals...
Top Services:
AI Development
IoT
DevOps Consulting
Cloud Consulting
Mobile App Development
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Location
Denver, Colorado
Number of Employees
250 - 499
Average Hourly Rate
$50/hr
Minimal Budget
$50,000 & Up
Portfolios Count
26 Projects Listed
Matellio Inc. Services
AI Development
IoT
DevOps Consulting
Cloud Consulting
Mobile App Development
Software Development
Web Design
Web Development
Big Data Analytics
Staff Augmentation
Data sourced from the agency's DesignRush profile, its website, and other relevant accounts
Hewlett Packard Enterprise
Tracking Genie
Brideside
Air Fusion
vCard Global
Codexa
PTGI
INSPRO
NERVVE
GoShow
Data sourced from the agency's DesignRush profile
Matellio Inc. Reviews & Testimonials
Undisclosed CTO at V Card Global
4.7★
Web Development Review from Undisclosed
Matellio is one of the best organizations I have had a chance to work with. Their unique approach to becoming an integrated extension of our corporate programming staff provides us with the ability to design and implement solutions in an ever changing environment.
Reviews verified by DesignRush and sourced from the agency's profile View All Reviews
We integrate, innovate, and elevate enterprise systems.
Intellectsoft builds custom software, AI solutions, and dedicated engineering teams for enterprises and fast-growing businesses across the US and UK...
Top Services:
Software Development
Mobile App Development
Wearables
Software Testing
Blockchain
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Location
New York City, New York
Number of Employees
100 - 249
Average Hourly Rate
$80/hr
Minimal Budget
$50,000 & Up
Portfolios Count
12 Projects Listed
Intellectsoft Services
Software Development
Mobile App Development
Wearables
Software Testing
Blockchain
AI Development
UI/UX Design
Big Data Analytics
IT Services
Data sourced from the agency's DesignRush profile, its website, and other relevant accounts
Harley-Davidson
the London Stock Exchange
Ernst & Young
Qualcomm
Bombardier
Data sourced from the agency's DesignRush profile
Intellectsoft Reviews & Testimonials
Harshal Chhajed Undisclosed at Undisclosed
4.5★
Software Development Review from Harshal Chhajed
They have highly skilled support staff for faster resolution which leads to customer satisfaction. Also, it has many features including IoT and blockchain apart from regular software development. If there are any changes in the scope of the project at a later stage, it can prove quite costly and also difficult to accommodate last-minute client-side scripting changes. They are versatile, cost-effective, and offer quick customer support. They offer a very customized software development tool where business needs can be addressed. It is very cost-optimized and hence can help generate good returns for business investment.
Vitaly Dyachenko CEO and Founder at UppLabs LLC
5.0★
Software Development Review from Vitaly Dyachenko
Intellectsoft provided a great partnership by delivering quality services and working fast. They helped us to accomplish all the clients' projects on time. The team communicated transparently and showed [] great dedication. They were an ideal partner! (Verified via email)
Reviews verified by DesignRush and sourced from the agency's profile View All Reviews
Kellton is a publicly listed, CMMI Level 5, and ISO 9001:2015 certified global company, providing cutting-edge AI and digital transformation solutions and services in strategy, consulting, digital, and technology...
Top Services:
Big Data Analytics
Software Development
AI Development
Mobile App Development
Show more
Location
Reston, Virginia
Number of Employees
1000 & Up
Average Hourly Rate
$50/hr
Minimal Budget
$50,000 & Up
Portfolios Count
8 Projects Listed
Kellton Services
Big Data Analytics
Software Development
AI Development
Mobile App Development
Data sourced from the agency's DesignRush profile, its website, and other relevant accounts
Max Life
Real Estate - Foxtons
Non Profits - Unicef
Govt. of Mauritius
Walmart
Data sourced from the agency's DesignRush profile
Kellton Reviews & Testimonials
Priyanshi Verma Review from Google
1.0★
Priyanshi Verma's Review Sourced from Google
Unprofessional, Mentally Draining, and Disrespectful Work CultureMy overall experience with this company was extremely toxic. During my short tenure, I observed several deeply unprofessional practices that left a lasting negative impact on me:•Salaries were often delayed, without prior communication or explanation.•There were unexplained deductions in monthly salary, and any attempts to raise concerns were either ignored or dismissed by HR.•The HR department was shockingly rude. I personally witnessed employees being humiliated or emotionally broken when they decided to resign — some even left in tears.•No proper Full and Final Settlement (FNF) or professional offboarding process was followed. It’s like once you resign, you’re treated as if you never existed.•Even after resignation, the company continued to send intimidating and threatening emails and begging for small amount of money like 20k, showing a complete lack of empathy — especially towards people who were already in a tough personal or financial situation.If you’re considering joining, please rethink carefully. Make sure everything is documented in writing — verbal promises mean nothing here. A company’s real face shows not when you join, but when you try to leave. And unfortunately, this one shows zero professionalism, zero compassion, and zero respect for employees.
Nani Sweety Review from Google
1.0★
Nani Sweety's Review Sourced from Google
I took 4 rounds of Interview for US IT Recruiter position..1st is virtual, 2nd round is In-person, 3rd and 4th are telephonic...They did not give any feedback.Worst experience, please don't attend interviews.waste of time
varsha kaushal Review from Google
1.0★
varsha kaushal's Review Sourced from Google
One of the worst organisation I have ever experienced . Exit process is worst moreover company doesn’t respond on your final f&f queries and literally one has to chase to get their full n final payment. Depending upon clients requirement organisation and their leaders push their employees and even salary is deducted if it is not billed as per clients need. Pathetic to be honest. Lala companies are doing better than this in country.
Reviews verified by DesignRush and sourced from the agency's profile View All Reviews
What services do big data analytics companies provide?
They provide services that turn structured and unstructured data into decision-making insights, including:
Data strategy & consulting: Defining business goals, identifying data sources, and planning analytics implementation.
Data warehousing & integration: Centralizing data from multiple sources for consistent, accessible analysis.
Business intelligence (BI) & reporting: Providing dashboards, reports, and KPIs that translate raw data into insights.
Prescriptive & predictive analytics: Using statistical models and machine learning to forecast trends and guide optimal decisions. 55% of organizations use ML and AI in their analytics processes.
Data visualization: Interactive charts and graphs simplify complex datasets, with over 39% of market revenue coming from this segment.
Data governance & compliance: Ensure data accuracy, privacy, and regulatory adherence, reducing data breaches by 50% and fraud by 40%, saving an estimated $10 billion annually.
Project complexity (real-time analytics, ML models cost more)
Team seniority and expertise
Data volume and infrastructure requirements
Tools and tech stack (e.g., Databricks, Snowflake)
Engagement length (long-term contracts may reduce hourly cost)
Location and sourcing (U.S.-based firms typically charge more than offshore)
How long does it take to see results from big data campaigns?
Most campaigns show early results within the first few months, while long-term initiatives deliver the greatest value as insights compound over time.
Timeline to Results
Typical Duration
What Can You Expect
Immediate wins
1-3 months
Data extraction, dashboards, automated reports, and early AI integrations
Measurable insights
4-12 months
Advanced analysis, model refinement, and insights that begin influencing strategic decisions.
Long-term impact
12+ months
Continuous optimization and compounding ROI from large-scale big data programs and enterprise analytics initiatives.
What industries do big data analytics companies serve in the US?
They mostly serve the following industries:
Healthcare: Personalizes treatments, reduces readmissions, and improves efficiency. The U.S. healthcare analytics market is projected to reach $79.23B by 2028 (CAGR 28.9%).
Financial Services: Supports fraud detection, risk scoring, compliance, and personalized offerings. Over 91% of financial firms use analytics, representing 32% of the global market.
Retail & eCommerce: Optimizes pricing, predicts demand, and personalizes marketing. Companies using advanced analytics see 5–6% higher sales and profit growth.
Manufacturing & Supply Chain: Enables predictive maintenance, inventory optimization, and process automation.
Telecommunications: Manages network traffic, reduces churn, and improves targeting. The telecom analytics market is expected to reach $155B by 2032 (50%+ CAGR).
Media and Entertainment: Streaming and gaming companies use big data to personalize content, optimize recommendations, and increase viewer engagement. Netflix, for example, uses analytics to guide viewing and save ~$1B annually.
How are big data analytics services different from traditional business intelligence (BI)?
Traditional BI focuses on reporting and dashboards built from historical, structured data. They help businesses track performance and understand what has already happened.
Big data companies handle much larger and more complex datasets, including unstructured and real-time data. It is used to identify patterns, predict outcomes, and support advanced decision-making.
Simply put, BI looks at past performance, while big data analytics focuses on scale, complexity, and future insights.
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