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Top Big Data Analytics Companies in USA​

Big data analytics companies in the USA help businesses to make informed decisions by analyzing large and complex sets of data. These companies use advanced technologies and tools to collect, store, process, and analyze vast amounts of data from various sources such as social media, customer databases, IoT devices, and other sources.The concept of Big Data Analytics has become increasingly popular in today’s digital world. Companies are realizing the power of data and are striving to use it as a competitive advantage. This article will provide an overview of some of the leading Big Data Analytics Companies in the USA, their services, and how they work. By understanding what these companies have to offer, businesses can take advantage of this powerful analytic tool and use it for their own data analysis needs. Big Data Analytics is becoming an increasingly important tool in the modern world. It helps companies to better understand their customer base, predict trends, and make smarter decisions. As a result, many organizations are now turning to Big Data Analytics Companies USA to help them better utilize their data.

List of the Best Big Data Analytics Companies in USA​

We partner with early stage founders to deliver a turnkey solution from ideation to product implementation. We work with a team of experts at each product development phase to bring a product from concept to reality, developing a high-quality application that meets requirements and delivers results. Founders in the very early idea stage may engage in our design thinking workshops… Read More
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    Employees: 2 to 10
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    Min. Project amount: $25000
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    Country: USA

HybridMob

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HybridMob is a US based Ionic Framework Trusted Gold Partner specializing in custom Ionic development solutions. Our highly specialized team consists of expert Ionic Framework developers with experience building complex hybrid (iOS and Android) mobile apps across multiple industries. Our Ionic Framework Developers maintain the following core skills: Build hybrid mobile apps from scratch (using Ionic) Advanced technical knowledge of… Read More
Amazing company James
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    Employees: 50 to 200
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    Min. Project amount: $25000
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    Country: 21750 Hardy Oak Blvd Ste 104 #68673, San Antonio, TX, 78258

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    Country: test

Exyte

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We help startups and SMEs grow businesses with amazing apps. Exyte focused: Augmented Reality — using ARKit on iOS and ARCore on Android, Mobile Development — Native iOS and Android apps, as well as cross-platform development with React Native, Blockchain — distributed applications, custom DLTs, and smart contract development What makes Exyte different: 50+ successfully completed projects, 11000+ stars on… Read More
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    Employees: 10 - 49
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    Min. Project amount: $10,000+
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    Country: New York, NY
CMARIX is a leading Laravel development company based in California. Their aim was to market themselves and showcase the creativity they bring in while designing the website for their clients on the Laravel framework. They want to highlight how this platform is safe against any risks or forgery. The website developed by Team CMARIX gave an amazing result. Throughout the… Read More
"We’ve never been able to match the talent we get at Itransition anywhere else in the world." -AR App Dev for Gaming Company
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    Employees: 51 to 250
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    Min. Project amount: $10,000+
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    Country: USA, India, Germany

1. What is the average cost charged by the top Big Data Analytics companies in the USA?

The cost charged by top Big Data Analytics companies in the USA can vary widely depending on various factors such as the size and complexity of the project, the specific services required, and the expertise and experience of the company.

 

Generally, big data analytics companies in the USA charge their clients based on several pricing models, including hourly rates, project-based pricing, and subscription-based pricing.

 

Hourly rates for big data analytics services can range from $100 to $300 per hour, depending on the expertise and experience of the team. Project-based pricing varies depending on the scope and complexity of the project and can range from $50,000 to several million dollars. Subscription-based pricing is becoming increasingly popular, and companies may offer monthly or yearly subscriptions starting from a few thousand dollars to tens of thousands of dollars.

 

It’s essential to note that the cost charged by big data analytics companies in the USA is a significant investment for businesses, but it can lead to significant returns in the long run. By leveraging the power of big data analytics, businesses can gain valuable insights into their operations, improve their decision-making processes, and ultimately drive growth and profitability.

2. What Is The Best Platform For Big Data Analytics in the USA?

There is no one-size-fits-all answer to the best platform for big data analytics in the USA, as the optimal platform will depend on the specific needs and requirements of the business. However, here are some popular big data analytics platforms used by companies in the USA:

 

Apache Hadoop: Apache Hadoop is a popular open-source big data analytics platform that is widely used by companies in the USA. Hadoop is designed to handle large volumes of data, and it provides a scalable and cost-effective solution for processing and analyzing big data.

 

Apache Spark: Apache Spark is another open-source big data analytics platform that is gaining popularity in the USA. Spark provides a fast and flexible solution for processing and analyzing large datasets, and it can handle a wide variety of data types and sources.

 

Microsoft Azure: Microsoft Azure is a cloud-based platform that provides a range of big data analytics tools and services. Azure offers scalable and cost-effective solutions for storing, processing and analyzing big data, and it integrates with a wide range of other Microsoft products and services.

 

Amazon Web Services (AWS): AWS is another cloud-based platform that provides a range of big data analytics tools and services. AWS offers scalable and cost-effective solutions for processing and analyzing big data, and it provides a range of tools for data storage, processing, and visualization.

 

Google Cloud Platform (GCP): GCP is another cloud-based platform that provides a range of big data analytics tools and services. GCP offers scalable and cost-effective solutions for processing and analyzing big data, and it provides a range of tools for data storage, processing, and visualization.

 

In conclusion, the best platform for big data analytics in the USA will depend on the specific needs and requirements of the business. Companies should evaluate their options carefully and choose a platform that can provide the scalability, flexibility, and cost-effectiveness needed to meet their big data analytics needs.

 

3. How do I hire the top Big Data Analytics Company in United States?

Hiring the top big data analytics company in the United States can be a complex process, but here are some steps you can follow to ensure that you find the right company for your needs:

 

Define your requirements: Before you start searching for a big data analytics company, you should define your requirements and goals. Consider what type of data you want to analyze, what insights you hope to gain from the analysis, and what kind of budget you have for the project.

 

Research potential companies: Once you have defined your requirements, you can start researching potential big data analytics companies in the USA. Look for companies that have experience in your industry and that offer the services you need.

 

Evaluate their expertise: Evaluate the expertise of the companies you are considering. Look for companies that have experience working with similar data sets and that have a track record of delivering high-quality results. You can also look for companies that have won awards or have been recognized for their work in the big data analytics field.

 

Check their references: Ask for references and case studies from potential companies to get a better understanding of their work. Contact their references and ask about their experience working with the company, the quality of the work, and the level of communication.

 

Assess their communication skills: Effective communication is essential when working with a big data analytics company. Make sure that the company you choose is responsive to your needs and can communicate complex technical concepts in a way that is easy to understand.

 

Evaluate their pricing: Finally, evaluate the pricing structure of the companies you are considering. Look for companies that offer transparent pricing and that are willing to work with you to create a pricing structure that fits your budget.

 

In conclusion, hiring the top big data analytics company in the USA requires careful consideration and research. By following these steps, you can find a company that has the expertise and experience to deliver high-quality results that meet your specific needs and goals.

 

4. How many Big Data Analytics Companies are there in USA? How big is the US Big Data Analytics industry?

It is difficult to determine the exact number of big data analytics companies in the USA, as new companies are constantly emerging, and existing companies are evolving their offerings. However, according to a report by ResearchAndMarkets, the number of big data analytics companies in the USA was estimated to be around 10,000 in 2020.

 

As for the size of the US big data analytics industry, it is also difficult to provide an exact figure, as the industry is constantly growing and evolving. However, according to a report by Grand View Research, the global big data analytics market was valued at $37.34 billion in 2020 and is expected to grow at a compound annual growth rate (CAGR) of 13.2% from 2021 to 2028.

 

The USA is one of the largest markets for big data analytics, with a significant number of companies and a strong demand for big data analytics services across various industries, including finance, healthcare, and retail. The growth of the big data analytics industry in the USA is driven by the increasing volume of data generated by businesses and consumers, as well as the need for insights to drive decision-making and improve business performance.

 
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