Technology

Why You Should Develop an AI-Powered Visual Search Solution?

Published

4 months ago

July 23, 2025

lillygracia

Reviewed
By Alaia Juniper

Introduction

Have you ever searched for a product but could not identify it for sure? Just think about it, you take a picture of a pair of shoes or photograph a pillowcase you viewed online, and then in a second, you begin to receive similar types of products from your online shopping platform. That’s the miracle of AI-powered visual search. It is revolutionizing the manner in which users are interacting with digital surfaces at the expense of the conventional ways of product-hunting on an eCommerce platform or application. With diminishing attention spans and rising personalization expectations, visual search is emerging as the customer experience frontier of the future, closing the gap between visual inspiration and instant discovery.

For companies, this transition unlocks a humongous opportunity. With computer vision and machine learning on the rise, AI visual search development isn’t something of the future anymore—it’s a strategic imperative. Whether retail, fashion, furniture, or even real estate, integrating visual search functionality can significantly increase user engagement, lower friction, and drive conversions. In this blog, we’ll explore why AI visual search development is a game-changer and how forward-thinking brands are already capitalizing on it.

What is AI in Visual Search?

Visual product search enables users to find products by uploading an image instead of typing keywords. With AI and machine learning applied to visual search, the system reads through the image to identify patterns, colors, and shapes and matches them with comparable products in a retailer’s inventory. It’s a powerful tool to fast-track product discovery and make it more intuitive for users, offering them a new visual way of shopping. With the increasing power of AI visual search development solutions, even personal assistant AI apps are now starting to incorporate visual recognition to provide wiser, more unobtrusive shopping assistance.

Through the use of an AI image generator, shoppers can be empowered to design bespoke images that represent their preferred style, allowing them to find products that suit their tastes. When paired with AI visual search innovation, this not only improves the shopping experience but also raises the bar for personalization and interaction in online commerce.

Why Visual Search is Becoming Popular with Today’s Consumers

Online shopping is enjoyable, especially when you’re familiar with the correct product terminologies that also serve as keywords for search engines. From furniture to apparel, cosmetics to footwear, and fancy stationery to home decorations, today’s customers turn to online shopping for everything. The experience becomes even more captivating as retailers and eCommerce platforms offer a wide range of brands under their umbrella. But it’s unrealistic to anticipate customers being familiar with the exact terminology and lexicon required to explain new products and designs. That is where the effectiveness of AI visual search development takes over.

AI visual search creation allows more intuitive and interactive shopping by removing text-based query requirements. All that is required is to upload a screenshot or image, and the search engine will locate visually similar products as well as precise product information. This technology is changing consumer-brand connectivity worldwide.

Benefits of AI-Powered Visual Search

The visual search is changing how people find things on the internet. Customers will no longer need to stick to text searches, as they can upload an image or a screenshot of something they like. Artificial Intelligence then processes such visuals and finds out like products. With the growing adoption of AI visual search development, this capability is becoming more refined, intuitive, and accessible, offering a smarter, faster way to connect visual intent with relevant product results. Here’s how it enhances the shopping experience:

Efficiency: Visual search does not require the users to have a description of an item in text. They just need to demonstrate to the system what they seek, and it will be a quicker and more natural process.
Discovery: It allows users to discover new products they were not aware of their existence. As an example, when they see a beautiful lamp in the house of a friend, they may take a shot and go online to seek something similar.
Inspiration: Visual search inspires creativity. A user could come across a special piece of clothing in the street and may desire to get a similar one. Through visual search, they will be able to peruse fashion alternatives other than what they have browsed in the conventional catalogs.
Brand Engagement and Awareness: Brands stand to gain a lot from using visual search on their websites:
Greater Exposure: A greater variety of products. Viewers end up getting more exposed to products when they are searching visually. When offerings of a brand are in line with the visual search filter, they get exposure to prospective clients who would otherwise not have known of their existence.
Cross-Brands: With visual search, users are able to compare similar products of different brands. An example is that when an individual likes a particular handbag, they get to have a look at other handbags of other designers. This spreads healthy competition and makes brands enhance their products.
Brand Loyalty: Already having visual search implemented in such brands lets them generate customer loyalty. When customers are consistently able to find the purchased product using visual search, they will only have one thing associated with the brand: good cum fuss-free experience.

How Does AI in Visual Product Search Work?

The process behind AI visual search development combines advanced image recognition with deep learning algorithms to deliver fast, accurate search results based on visuals instead of keywords.

It is this step-by-step process of achieving success that fuels smooth end-user interaction experienced with modern eCommerce and visual discovery sites.

1. Image Uploading

Users upload an image or take a picture of any product they want to find (e.g., clothing, accessories, furniture, and places).

2. Image Processing

The system detects the attributes of an image, including colors, shapes, designs, and outlines.

3. Image Analysis

In many visual search systems, deep learning algorithms, namely CNNs, are applied to examine images comprehensively. Such models are trained with big data sets to detect and categorize objects in pictures accurately and precisely.

4. Comparison with the Database

The system matches extracted features with a large database of images and their respective metadata.
The database contains product images, descriptions, and other information.

5. Similarity Matching

The algorithms in the system are used to search for similar images from extracted features.
Content-Based Image Retrieval (CBIR) methods search for visually similar images on the basis of color, shape, and texture.
The system also takes into account semantic information like product categories and descriptions for increased accuracy.

6. Search Results

Once the similar products have been identified, the system provides the user with a set of visually similar images or products that contain product listings and related information.

7. User Feedback

Visual search engines use user feedback to improve the accuracy of subsequent searches.

Visual Search Challenges You Need to Know

Despite the fast progress in AI visual search development, a number of stumbling blocks remain that prevent its mass adoption. From tracking performance to user behavior adaptation, companies and AI consulting services have to overcome these obstacles to provide smoother implementation and user satisfaction.

1. Reporting And Attribution

We cannot split up their search queries in order to find out the ones that involve the use of an image. This is a big problem that has discouraged brands already, but this is soon to be overcome with Search Console.

2. User Behaviors

People are simply not used to searching with images. These behavioral patterns might need time to get adjusted, which is understandable considering that there is a step between taking a picture to submitting it as a visual search, which is not very smooth.

3. Paid Search Product

Visual search will not be easy to monetize in the same way that text search is because it cannot be as specific to the keywords. Nevertheless, this reluctance can be solved with the migration of the industry to audience-based bidding.

Conclusion

As user expectations continue to evolve toward speed, convenience, and personalization, AI visual search development stands out as a strategic investment for businesses looking to lead in digital innovation. By making product discovery simpler, to evoking impulse-driven and spontaneous buying, the visual search provides a frictionless shopping experience that bridges a visual desire with immediate gratification. The more the search gets intuitive in its use, the more the likelihood of engaging the user, retention, and ultimately, conversion.

For brands aiming to integrate cutting-edge features into their platforms, partnering with a trusted AI software development company is key. The power of visual recognition and AI is stronger than ever before. You need an eCommerce brand, a marketplace, or a retail technology innovator? It is a time to use the power.

Author

lillygracia

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Related Topics:AI in Visual Search AI in Visual Search Solution

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Education and E-Learning App Development Cost in New york, USA

Published

4 days ago

November 14, 2025

Davidjohnson

Reviewed
By Eva Brooklyn

Introduction

New York has become one of the top destinations for businesses and institutions investing in education and e-learning app development. With the growing demand for remote and hybrid learning, schools, universities, and training organizations are turning to technology to deliver flexible, engaging, and personalized education.

As a leading global tech hub, the city offers access to some of the best mobile app development companies in New York, helping businesses build powerful, secure, and innovative e-learning platforms.

According to recent reports, the U.S. EdTech market is projected to exceed $100 billion by 2030, with New York playing a major role in driving this growth. Whether you’re a school, startup, or corporate training provider, understanding the cost of e-learning app development in New York is key to making informed investment decisions.

Average Cost of Education & E-Learning App Development in New York

The cost of developing an education or e-learning app in New York generally ranges between $40,000 and $250,000, depending on complexity, features, and design requirements.

Here’s a simple breakdown:

A basic education app with user login, video lessons, and quizzes can cost between $40,000 and $70,000.
A feature-rich learning management system (LMS) with live sessions, analytics, and admin dashboards may cost $80,000 to $150,000.
A custom AI-powered or AR/VR-enabled e-learning platform can go up to $200,000–$250,000+, depending on advanced features and integrations.

These costs usually include design, development, testing, and deployment handled by an experienced mobile app development company in New York.

Key Factors That Affect E-Learning App Development Cost

1. App Complexity and Features

More advanced features like gamified learning, live streaming, or performance analytics increase development hours and cost.

2. Platform Choice (iOS, Android, or Both)

Building for both platforms costs more. Many developers in NYC use cross-platform frameworks like Flutter or React Native to reduce costs while maintaining quality.

3. Design and User Experience

A strong UI/UX design improves engagement and retention, especially in education apps. However, premium designs require more design time and resources.

4. Integrations and APIs

Adding third-party integrations like Zoom, Stripe, or Google Classroom APIs improves functionality but adds to total cost.

5. Developer Expertise and Location

Hiring a mobile app development company in New York ensures local expertise, faster communication, and compliance with U.S. education standards though hourly rates are higher ($90–$150/hour).

Core Features of a Modern E-Learning App

Every successful e-learning platform needs the right mix of functionality, engagement, and analytics. Common features include:

Student and teacher profiles
Course upload and management tools
Video lessons and live sessions
Quizzes, assignments, and grading
Push notifications and reminders
Real-time analytics and reporting
Secure payment gateways
Admin dashboard for content control
Multi-language support

Advanced platforms developed by top app developers in New York may also include AI-based personalization, voice recognition, and AR/VR-based learning experiences.

Technology Stack Used in E-Learning App Development

The choice of technology affects both performance and cost. Leading mobile app development companies in New York often use:

Frontend: React Native, Flutter, Swift, Kotlin
Backend: Node.js, Python, Java, .NET
Database: Firebase, PostgreSQL, MongoDB
Cloud Hosting: AWS, Azure, Google Cloud
Video & Streaming: Zoom API, Agora, WebRTC
AI/ML Tools: TensorFlow, OpenAI APIs
Payment Gateways: Stripe, PayPal, Apple Pay

Development Timeline

The timeline to develop an e-learning app in New York usually ranges from 4 to 8 months, depending on scope.

Discovery & Planning (2–4 weeks): Defining goals, features, and workflows.
UI/UX Design (3–5 weeks): Creating the visual layout and user flow.
Development (8–16 weeks): Building the backend and front-end features.
Testing & QA (4–6 weeks): Ensuring performance, security, and reliability.
Deployment & Support (ongoing): Launch, training, and maintenance updates.

Working with an experienced mobile app development company in New York ensures timely delivery and professional quality at every stage.

Monetization Strategies for E-Learning Apps

If your goal is revenue generation, you can integrate several business models into your platform:

Subscription Plans: Monthly or yearly access to courses.
Freemium Model: Free content with optional upgrades.
Pay-per-Course Model: One-time purchases for premium modules.
Corporate Licensing: Sell platform access to training organizations.
In-App Advertising or Sponsorships: Monetize through partner ads or branded content.

Your software development partner can help design a secure and scalable payment system based on your business goals.

Why Choose a Mobile App Development Company in New York

Partnering with a mobile app development company in New York offers several key benefits:

Access to skilled developers and designers experienced in EdTech.
Knowledge of U.S. education compliance and privacy standards.
Strong local communication and project management support.
Proven expertise in AI, cloud, and cross-platform technologies.

These companies understand the local education ecosystem and can create custom solutions tailored to both schools and businesses.

Benefits of Investing in E-Learning App Development

Building a custom e-learning app provides lasting advantages:

24/7 Access to Education: Learners can study anywhere, anytime.
Scalable Learning Platforms: Add more users or content easily.
Real-Time Performance Tracking: Data-driven insights for teachers and admins.
Lower Operational Costs: Fewer manual tasks and paperwork.
Better Student Engagement: Gamified and interactive learning features.

Estimated ROI and Long-Term Value

Though initial development costs may seem high, most organizations see a strong return on investment within 12–18 months. E-learning apps reduce training costs, expand audience reach, and improve learning outcomes all of which contribute to higher profitability and brand growth.

Conclusion

The cost of e-learning app development in New York varies by project type and goals, but the long-term benefits far outweigh the investment. By partnering with a trusted mobile app development company in New York, you can create a secure, scalable, and engaging learning platform that drives results.

Whether you’re building an app for schools, universities, or corporate training, the right development partner can help you turn your vision into a powerful digital education solution designed for growth, innovation, and success.

FAQs: Education & E-Learning App Development in New York

Q1. How much does it cost to develop an e-learning app in New York?

Costs typically range from $40,000 to $250,000, depending on features and complexity.

Q2. Why choose a mobile app development company in New York?

Local companies offer better collaboration, data compliance, and EdTech expertise compared to offshore teams.

Q3. How long does it take to build an e-learning app?

Most projects take 4–8 months, including design, development, and testing.

Q4. What are the must-have features of an education app?

Key features include video lessons, live sessions, quizzes, analytics, and secure payments.

Q5. Can developers in New York build AI-powered learning apps?

Yes, many NYC-based developers specialize in AI and personalized learning algorithms.

Q6. What platforms should I choose iOS, Android, or both?

For broader reach, cross-platform development with React Native or Flutter is cost-effective.

Q7. How can I make revenue from my e-learning app?

Use models like subscriptions, pay-per-course, or in-app ads to monetize effectively.

Q8. What technologies are best for building education apps?

Popular technologies include Flutter, Node.js, Python, AWS, and Zoom integration APIs.

Q9. How secure are e-learning apps?

Top New York development companies use encryption, SSL, and secure cloud hosting for complete data protection.

Q10. What happens after launch?

Ongoing maintenance, updates, and user support ensure smooth operation and scalability.

Author

Davidjohnson

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Technology

Professional Cloud Architect Certification: Path to Cloud Mastery

Published

4 days ago

November 14, 2025

jacklim

Reviewed
By Julia Harper

Professional Cloud Architect Certification

Introduction

In today’s rapidly evolving technology landscape, cloud computing is at the core of enterprise IT operations. Organizations of all sizes are migrating workloads, optimizing infrastructure, and innovating using cloud services. This makes skilled professionals who can design, deploy, and manage cloud solutions extremely valuable. The Professional Cloud Architect Certification is one of the most recognized credentials for validating such expertise.

Earning this certification signals to employers that you can translate business requirements into secure, scalable, and efficient cloud architectures. Whether you are an IT professional, cloud engineer, or system architect, this credential can significantly accelerate your career trajectory while enhancing your credibility in the competitive cloud computing job market. Check here to explore verified cloud architect study resources and practice materials!

Why the Professional Cloud Architect Certification Matters

Cloud architects are responsible for designing complex, high-availability systems while maintaining cost efficiency and security. The certification ensures that candidates can:

Design resilient and scalable cloud solutions tailored to business needs
Apply security and compliance best practices in cloud deployments
Optimize performance and cost across cloud resources
Manage operations with industry-standard monitoring and troubleshooting techniques

Achieving this certification demonstrates that you can solve real-world business challenges using cloud technologies, bridging the gap between technical proficiency and strategic implementation.

Core Skills Tested in the Certification

DomainKey CompetenciesCloud Solution DesignArchitecting scalable, reliable, and high-performance solutionsSecurity & ComplianceImplementing access control, encryption, and governance frameworksInfrastructure ManagementDeploying and monitoring cloud resources effectivelyCost OptimizationPlanning efficient and budget-conscious cloud strategiesOperational ExcellenceManaging, troubleshooting, and improving cloud operations

These domains ensure that certified professionals possess practical, hands-on expertise rather than just theoretical knowledge.

Recommended Study Approach

Image by: Yandex.com

Preparing for the Professional Cloud Architect Certification requires a blend of theory, practical exercises, and exam-focused practice. A well-rounded approach includes:

Learning Core Concepts: Start with cloud provider documentation, official tutorials, and conceptual guides to understand the architecture, services, and policies.
Hands-On Labs: Implement solutions in sandbox or trial environments to gain practical experience.
Practice Questions: Use verified practice materials from trusted sources, such as Cert Empire, to simulate real exam scenarios.
Mock Exams: Conduct timed exams to improve speed, accuracy, and confidence.
Review and Reinforce: Analyze mistakes and revisit weak areas to ensure deep understanding.

Combining these methods ensures that you’re not just memorizing answers but developing practical skills that can be applied in real-world cloud environments.

Benefits of Certification

Career Advancement: Certified cloud architects are in high demand across enterprises, cloud consulting firms, and IT departments.
Higher Earning Potential: Certification often translates into better job offers and competitive salaries.
Global Recognition: The credential is recognized internationally and adds credibility to your profile.
Practical Skills: Emphasis on hands-on labs ensures that candidates can apply knowledge effectively in live environments.
Strategic Insight: Professionals gain the ability to design solutions aligned with business goals, not just technical requirements.

The combination of technical mastery and strategic thinking makes this certification highly valuable for IT professionals seeking leadership roles in cloud architecture.

Study Strategies for Success

Understand Exam Objectives: Review the detailed objectives published by the certification body to focus your preparation on critical areas.
Prioritize Hands-On Experience: Cloud architects need real-world experience; labs and sandbox environments are essential for practical knowledge.
Time Management: Practice full-length exams under timed conditions to develop stamina and pacing for the real test.
Analyze Mistakes: Carefully review incorrect answers to understand reasoning, which strengthens conceptual clarity.
Stay Updated: Cloud platforms evolve quickly; ensure your study materials reflect the latest service features and best practices.

Consistent and disciplined preparation is the key to achieving both exam success and long-term skill development.

Additional Preparation Tips

Join cloud communities or forums to discuss challenging topics with peers.
Use scenario-based questions to simulate decision-making in real projects.
Focus on integrating security, compliance, and cost optimization in solution design.
Combine reading, video tutorials, and hands-on labs for diverse learning modes.
Take regular short quizzes to reinforce retention and build confidence.

These strategies ensure a holistic preparation approach that goes beyond simply passing the exam.

Why Professional Cloud Architect Certification is Essential?

The Professional Cloud Architect Certification is one of the most respected credentials in the IT industry, designed to validate a professional’s ability to design, deploy, and manage scalable, secure, and cost-efficient cloud solutions. In today’s rapidly evolving digital landscape, organizations increasingly rely on cloud infrastructure, making skilled cloud architects highly sought-after.

This certification not only demonstrates technical expertise but also proves that candidates can align cloud solutions with business objectives, optimize resources, ensure security compliance, and manage operations effectively. Preparing for this certification requires a combination of conceptual understanding, practical experience, and verified study resources, such as practice question sets and hands-on labs. Platforms like Cert Empire provide updated materials that reflect real-world scenarios, helping candidates gain confidence and achieve success on the first attempt.

Overall Summary

The Professional Cloud Architect Certification is more than a professional milestone; it reflects mastery in designing secure, scalable, and cost-effective cloud solutions. By combining verified study resources, hands-on labs, mock exams, and structured learning approaches, candidates can prepare effectively and confidently.

A strategic, disciplined study plan ensures not only exam success but also practical expertise that can be applied to real-world cloud projects. Professionals who earn this certification gain recognition, credibility, and enhanced career opportunities in the dynamic field of cloud computing. Catch up with us on Instagram.

Frequently Asked Questions

Q1. Who is eligible for the Professional Cloud Architect Certification?

IT professionals, cloud engineers, and system architects with experience in designing and managing cloud solutions.

Q2. How important is hands-on experience for this certification?

Hands-on experience is crucial. It allows candidates to implement, test, and optimize cloud solutions practically, which is heavily assessed in the exam.

Q3. Can I rely solely on practice questions?

No. While practice questions are useful, understanding the concepts behind them is essential for success and real-world application.

Q4. How often are cloud architect exams updated?

Cloud exams are updated periodically to reflect changes in services, features, and best practices. Using updated and verified study materials ensures relevance.

Author

jacklim

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Technology

Top Automotive Software Development Companies in 2025

Published

5 days ago

November 13, 2025

JamesFolk

Reviewed
By Olivia Carter

Top Automotive Software Development Companies in 2025

Introduction

The global car industry is changing fast because of new technology like digital tools, connected cars, self-driving vehicles, and electric cars. Cars are now more about software, so companies that make car software are very important. They create smart systems for cars, like entertainment, tracking, maintenance alerts, and self-driving features.

Here is a list of the top car software companies in 2025. Dev Technosys is at the top, leading the way in improving car technology.

Why Automotive Software Development Matters

Automotive software development is no longer a niche. It’s central to how vehicles behave, how they connect to the world, and how safe and efficient they are. With features like over-the-air updates, vehicle-to-everything (V2X) connectivity, electrification, and autonomous driving, the car you buy today may get major upgrades while you own it. That means the companies that build the software behind the car’s systems are playing a vital role in mobility innovation.

When manufacturers and suppliers look for software partners, they seek firms that understand automotive standards (for example functional safety, cybersecurity, ISO 26262), embedded systems, cloud connectivity, and agile / continuous-delivery practices. The best firms can handle large scale, global rollouts and complex integration across hardware, firmware and software layers.

Top Automotive Software Development Companies in 2025

1. Dev Technosys

Headquarters: Jaipur, India
Founded: 2010

Dev Technosys is the #1 Automotive Software Development Company in 2025. With over 14 years of experience, they create advanced and scalable car software using AI, IoT, Machine Learning, Blockchain, and Cloud Computing.

They work with car manufacturers and startups worldwide, building custom solutions for connected cars, electric vehicles, and predictive maintenance. Their goal is to make driving smarter, safer, and more efficient through innovation and technology.

Core Services from Dev Technosys:

Automotive IoT solutions
Fleet management and telematics software
Predictive maintenance platforms
Vehicle diagnostics systems
Electric Vehicle (EV) software
In-car infotainment and navigation systems
Mobility-as-a-Service (MaaS) apps

Why Dev Technosys is #1:

14+ years of experience in the industry
ISO 9001:2015 certified
Served 500+ clients in 50+ countries
Focus on innovation, scalability, and security
Dedicated R&D team for automotive technologies

Dev Technosys leads the automotive software industry with its innovative solutions, client-focused approach, and commitment to excellence.

2. Tata Elxsi

Headquarters: Bengaluru, India
Founded: 1989

Tata Elxsi is a top global company providing design and technology services for the automotive industry. They focus on autonomous, connected, and electric vehicles (ACE). Their platform, AUTONOMAI, helps car makers build and use self-driving systems easily.

They specialize in advanced driver-assistance systems (ADAS), telematics, and entertainment software, improving driving experiences around the world.

Key Services: Autonomous driving software, connected vehicle solutions, telematics, and vehicle diagnostics.

3. Bosch Global Software Technologies (BGSW)

Headquarters: Bengaluru, India
Founded: 1990

BGSW, part of Bosch, offers advanced engineering and IT solutions for the car industry. Bosch’s software is used in millions of vehicles, providing reliable systems, driver-assistance features (ADAS), and digital twin technologies.

They focus on creating connected mobility systems that link cars, infrastructure, and drivers using AI and IoT.

Key Services: ADAS, autonomous systems, automotive cybersecurity, and connectivity platforms.

4. Elektrobit

Headquarters: Erlangen, Germany
Founded: 1988

Elektrobit is a global leader in car software. Their technology is used by brands like Volkswagen, Audi, and BMW. They are experts in AUTOSAR, infotainment, and safety systems, making them a trusted partner for car makers worldwide.

Key Services: Embedded software, connected car solutions, user interface (HMI) development, and AUTOSAR integration.

5. KPIT Technologies

Headquarters: Pune, India
Founded: 1990

KPIT Technologies is a key player in the automotive software space, delivering end-to-end solutions for autonomous, connected, and electric vehicles. The company focuses on software-defined vehicles (SDVs), cloud-based mobility, and powertrain systems that support sustainable mobility.

Key Services: e-Mobility software, vehicle diagnostics, ADAS, and simulation solutions.

6. Luxoft (a DXC Technology Company)

Headquarters: Zug, Switzerland
Founded: 2000

Luxoft offers digital engineering services for top car brands like BMW and Mercedes-Benz. They focus on connected cars, infotainment systems, and HMI (Human-Machine Interface) software. Using AI and analytics, Luxoft creates personalized in-car experiences.

Key Services: Infotainment, connected vehicle systems, and autonomous software solutions.

7. Continental Engineering Services (CES)

Headquarters: Frankfurt, Germany
Founded: 2006

A subsidiary of Continental AG, CES delivers tailored engineering and software services for OEMs and Tier 1 suppliers. The company’s expertise covers ADAS, embedded systems, and automation software, supporting the transition to safer and more sustainable vehicles.

Key Services: Powertrain software, ADAS, mobility data, and vehicle connectivity systems.

8. NTT DATA

Headquarters: Tokyo, Japan
Founded: 1988

NTT DATA is helping the automotive industry with digital solutions. They provide connected car systems, EV charging software, and AI-based fleet management platforms.

By using IoT and AI, NTT DATA helps car brands improve user experiences and run operations more efficiently.

Key Services: Automotive IoT, EV charging management, and predictive analytics.

9. GlobalLogic (a Hitachi Group Company)

Headquarters: San Jose, USA
Founded: 2000

GlobalLogic is recognized for developing software-defined vehicle systems that enhance safety and functionality. The company partners with OEMs to design next-gen digital cockpits, infotainment systems, and vehicle connectivity platforms.

Key Services: In-vehicle infotainment, telematics, and cloud automotive solutions.

10. HARMAN International

Headquarters: Stamford, USA
Founded: 1980

HARMAN International, part of Samsung, is a top provider of connected car technology. Their HARMAN Ignite Platform offers secure and scalable vehicle connectivity, and their infotainment systems improve the driving experience in premium cars like Audi, BMW, and Mercedes-Benz.

Key Services: Connected car platforms, telematics, in-car entertainment, and voice assistant integration.

Conclusion

The future of cars depends on software innovation, including smart mobility, connected systems, and AI-powered automation. These top companies are changing the automotive industry with new technologies and smart solutions.

Dev Technosys is the #1 Automotive Software Development Company in 2025. Known for innovation and reliability, it is a trusted partner for car makers, mobility companies, and startups worldwide, delivering next-generation automotive solutions.

Read more blogs at: https://contrank.com/