Top 10 Industry-wise Generative AI Use Cases in 2025

As 2025 is just a few months away, we anticipate stepping into a more futuristic world. The year 2024 has been great in terms of technological advancements, with innovations such as Multimodal AI, Agentic AI, open-source AI, and Retrieval-augmented generation making their way into our lives. However, generative AI remains a hot topic and will continue to be so for years. In fact, Gen AI isn’t left a trend anymore but a mainstream technology that has been influencing literally every industry with its automation potential. While we have witnessed the capabilities of this technology in 2024, it was just a teaser compared to the Generative AI use cases we can expect in 2025.

If we talk about the potential of artificial intelligence, the best is yet to come, and we expect 2025 to be a year packed with surprises. Whether it's about the release of the GPT-5 model or iOS 18,  we are on the brink of witnessing groundbreaking innovations that will redefine our interaction with technology.

Businesses across different verticals have already started harnessing Gen AI’s potential, and that’s not what we are saying but the facts and stats….

• The global Generative AI market was worth around $20.9 billion in 2023 and is expected to reach $136.7 billion by the end of 2030, growing at a CAGR of 36.7%. (Source: MarketsandMarkets)
• 73% of marketers use generative AI for different purposes, including image generation, text creation, audio, chatbots, and coding. (Source: Exploding Topics)
• Customer support agents have reported 13.8% more productivity in handling customer inquiries with Gen AI, while it helps business professionals write 59% more documents per hour. (Source: Hatchworks)
• Generative AI adoption in businesses can boost productivity by 24.69%. (Source: Gartner)
• 61% of workers are already using or planning to use Generative AI. (Source: Mckinsey)
• AI in retail is expected to expand by 8 times in the next seven years. (Source: Facts&Factors)
• Generative AI deepfakes have increased by at least 1200% in the US, which is the biggest roadblocker in adopting AI. (Source: BusinessWire)

These stats are enough to prove why Generative AI is the future. Before we discuss the potential Gen AI use cases, let’s have a quick introduction to this technology. 

What is Generative AI, and How Does It Work?

Generative Artificial Intelligence (Gen AI) is an AI subset that generates new content (texts, images, animation, and videos) by processing large data sets and pattern detections. It is based on Large Language Models (LLMs) and uses neural network and natural language processing (NLPs) to create realistic human-like outcomes. 

Generative AI works by using neural networks, machine learning models, and deep learning algorithms. It identifies patterns and massive data sets to create text, images, text, videos and animations based on the user’s instructions (Prompts). 

Generative AI can run on different types of data models, such as generative adversarial networks (GANs), Variational AutoEncoders (VAEs), or transformers. When trained on a specific dataset, a model can produce new data by sampling from the provided information. This technology can also enhance and create new data through a process known as interfacing. During interfacing, the output is adjusted to align with the desired results or to correct any errors, enabling users to achieve more realistic and tailored outcomes.

Top Generative AI Use Cases in 2025 (Industry-wise List)

As Generative AI is getting into the mainstream, it has found applications in literally every industry, primarily healthcare, retail, manufacturing, software development, fintech, entertainment, education, and Automobile.  

So, here are some real-world use cases of Generative AI for different industries. 

#1. Healthcare and Pharmaceuticals

AI in healthcare continues to be the talk of the town as this industry is exponentially influenced by technological advancements. The technology is being used to personalize treatments, discover and develop life-saving medicines, and enhance medical images. 

Here are some use cases of generative AI in healthcare we expect in 2025: 

• Improving Medical Images: Generative AI can enhance medical images like X-rays, CT scans, or MRIs. It can create new images, reconstruct existing ones, or generate reports. This technology can even show how a disease might progress over time.
• Discovering New Medicines: Researchers use generative AI to discover and develop new drugs. By 2025, it's expected that 30% of new drugs will be created using these AI principles.

• Streamlining Patient Notes: Healthcare professionals take notes about patient care. Generative AI can summarize patient information, transcribe verbal notes, and find important details in medical records more efficiently than humans.
• Customized Treatment Plans: Generative AI can analyze a lot of patient information, including medical images and genetic tests, to create personalized treatment plans tailored to each patient's needs.

#2. Advertising and Marketing

The marketing industry is among the early adopters of Gen AI and has long been embracing this technology. It offers ground-breaking solutions for advertising and marketing professionals. It can create text and images for marketing and find new ways to engage with customers. 

Here are some examples of how generative AI is used in advertising and marketing:

• Create Marketing Text and Images: Generative AI helps marketers produce consistent and on-brand text and images for ad campaigns. It also provides translation tools to expand marketing messages to new regions. By 2025, Gartner predicts that 30% of outbound marketing materials will be created using generative AI.
• Personalized Recommendations: Generative AI powers recommendation engines that help customers find new products they might like, making the process more interactive.
• Product Descriptions: Generative AI can handle tedious tasks like writing product descriptions, saving marketers time and hefty salaries to copywriters.
• Improve SEO: Search Engine Optimization (SEO) professionals can use generative AI for tasks like tagging images, creating page titles, and drafting content. Tools like ChatGPT or Bard can also suggest changes to improve SEO rankings.

#3. Manufacturing

Generative AI in manufacturing can help business professionals boost efficiency, predict maintenance needs, speed up design processes, and strengthen supply chains. 

Here are some use cases of Gen AI in the manufacturing sector: 

• Speeding up Design: Generative AI allows engineers and project managers to generate and evaluate design ideas based on project constraints quickly.
• Smart Maintenance: Maintenance teams can use generative AI to monitor equipment performance using historical data, alerting them to potential issues before they occur. It can also suggest routine maintenance schedules.
• Enhancing Supply Chains: Generative AI can help identify supply chain issues by analyzing large amounts of data conversationally. It can also create delivery schedules and recommend suppliers.

#4. Software Development

Generative AI can help software development teams create and improve code quickly, even if they don't have much experience with programming languages. 

Here are a few ways how Generative AI can be used in software development:

• Code Generation: Generative AI can help developers write, improve, and finish code. It can generate code blocks by comparing them to a library of similar information. It can also predict what the developer is trying to type, similar to how auto-complete works on a smartphone.
• Translating Programming Languages: Generative AI can act as a translator, allowing developers to interact with software without needing to know a programming language.
• Automating Testing: Generative AI can enhance automated testing by identifying potential issues and running tests faster than other AI methods. It can learn how the software works and how users will interact with it, creating test cases to show different user scenarios.

#5. FinTech       

According to McKinsey, generative AI could bring about $340 billion in value to the banking industry each year. AI in banking is way wider than you think; however, security concerns are the only roadblock to this technology adoption. 

Here are some ways generative AI can be used in financial services:

• Investment Strategies: Generative AI can suggest the best investments based on your or your client's goals. It can find and make trades much faster than humans, following the rules you set for the transactions.
• Communication and Education: Financial professionals often need to explain complex information to clients and colleagues. Generative AI can offer personalized customer service without needing more staff.
• Drafting Documents and Monitoring Regulations: Generative AI can keep track of regulatory changes, inform you of updates, and draft documents like investment research or insurance policies.

#6. Media and Entertainment

Generative AI can revolutionize the media and entertainment industry by creating unique content. AI algorithms can analyze successful film scripts to create new and original scripts based on trends and patterns. 

Here are some ways Gen AI can be used in the media and entertainment industry: 

• Creating Audio and Visual Content: Generative AI can produce new videos from scratch. It can also speed up the process of making visual content by adding effects and graphics and simplifying editing.
• Generating Sports and Event Highlights: For sports and live events, generative AI can quickly create highlight reels. Fans can even create their own custom highlights, such as specific plays or series.
• Managing Content Tags: Generative AI can tag and organize large media libraries, making it easier to find files. It allows users to use conversational language to search for information or media in a complex library.

#7. Education

Education was initially slow to embrace AI technology, but the COVID-19 pandemic triggered it. The sudden shift to online learning revealed many weaknesses in the education system.

The pandemic led to a huge increase in the use of technology in education, changing how teaching and learning happen. Over 47% of learning tools will use AI to tailor the experience for different learners, teachers, and tutors in the next three years. This growth is driven by more educators relying on virtual learning.

Here’s how AI in Education will revolutionalize the learning experience in 2025:

• Creating Personalized Learning: Every student learns differently. AI-powered education tools can help teachers create custom learning plans for each student. These tools can identify gaps in knowledge, suggest personalized learning paths, and track progress.
• Streamlining Administrative Tasks: Grading and assessments need to be accurate and quick. AI can help by automating tasks like reviewing multiple-choice questions and fill-in-the-blanks. This helps educators to focus more on teaching.

#8. Automobile

The global trend towards using AI in automotive is expected to boost the autonomous car market to $11.03 billion by 2028, growing at a rate of 31.3% from 2021 to 2028. Vehicle manufacturers are now using AI to create personalized vehicles for a better user experience, which can further drive growth.

Here are the Generative AI use cases in the Automobile sector: 

• Sensor Data Processing & Path Planning: AI can optimize vehicle routes to reduce traffic issues, helping drivers navigate more efficiently and arrive on time.
• Automating Insurance Claims: AI can analyze vehicle data logs, including driver behavior, and predict vehicle performance to alert drivers about possible accidents, reducing claims and costs.
• Monitoring Vehicle Condition: AI's predictive maintenance can prevent unexpected car breakdowns by monitoring various car components and predicting potential failures.

#9. Insurance

The insurance industry is currently undergoing a significant digital transformation. Traditional business models are being replaced by new trends like usage-based premiums, connected insurance, and smart underwriting. AI drives this change, helping insurers connect with customers, improve products and pricing, predict defaults, and more.

Many manual tasks in the insurance process can be automated with AI and machine learning, leading to better efficiency and performance. 

Here are some Gen AI use cases for the Insurance industry:

• Insurance Lead Scoring: AI can identify the most profitable insurance applications, making reviewing and focusing on valuable customers easier, thus improving conversion rates. Insurance companies can set competitive premiums and reduce risks by predicting customer risk.
• Customizing Insurance Policies: Manual policy customization can be tedious. AI can accelerate and simplify this process, allowing clients to choose the right policy with the right coverage and premium.
• Automatic Claim Processing: Claim management teams often face pressure to determine payouts. AI can streamline this process by reducing human intervention, verifying proof, detecting false claims, and processing payments efficiently.

#10. Retail

The retail industry has seen a big shift towards online shopping, especially during the pandemic. To tackle challenges and keep customers happy, retailers are now using AI. 

Generative AI helps e-commerce businesses keep customers coming back and boost sales by making shopping more engaging and personalized. The global Generative AI in the retail market size is expected to hit $127.2 billion by 2033, growing at a rate of 29.9% from 2021 to 2028.

Here are some real-world use cases of Gen AI in retail:

• Product Recommendations: AI looks at what customers have searched for and suggests products they might like. This makes shopping easier and more satisfying, leading to higher sales and happier customers.
• Customer Service: AI-powered in-store assistants can answer customer questions, blending the best of online and physical shopping. This "phygital" experience (physical + digital) improves customer satisfaction and boosts sales.
• Demand Prediction: AI helps predict what products will be in demand, so retailers can manage their inventory better. This means fewer stock-outs and more efficient operations.
• Pricing Strategy: AI makes it easier to set the right prices for products, which was a tough job before. With AI, retailers can attract more customers with the best prices.

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The Future of Generative AI for Businesses

Powered by training on massive datasets and computation, Generative AI goes beyond just generating text-based outcomes, it has evolved into multimodal to create images, animations, videos, and more. Many industries have already started embracing this technology. Custom AI development companies like Mtoag Technologies are helping these organizations adopt Generative AI effectively.

When combined with robots, Generative AI can revolutionize physical work, impacting many industries. It's crucial for tackling issues like climate change and improving healthcare, but it must be used responsibly to prevent misuse.

To explore this new technology, you need experts with a proven track record. Mtoag Technologies stands out with its expertise and innovative solutions, helping clients fully leverage AI and ML.

We have a history of delivering real business value with our smart solutions. Our adept web and mobile app development team stays updated with the latest advancements, ensuring we provide top-notch Generative AI for business growth. We also guide our clients to follow industry best practices and stay ahead.

Beyond our expertise, we offer support throughout your project, working with you to create strategies that meet your specific business goals.

FAQs

Where Can We Use GenAI?

Generative AI can be applied in various fields, such as healthcare, finance, entertainment, and education. It helps create content, automate tasks, and enhance decision-making processes.

How can GenAI be Used in the Real World?

In the real world, GenAI can generate text, images, and music, assist in customer service, and even help in medical diagnoses by analyzing data and providing insights.

What are the Use Cases of GenAI in Retail?

GenAI can personalize shopping experiences, optimize inventory management, and create targeted marketing campaigns by analyzing customer data and predicting trends in retail.

What Problems Can Generative AI Solve?

Generative AI can solve problems like content creation, data analysis, and automation of repetitive tasks. By providing new ideas and solutions, it can also enhance creativity and innovation.

What is the Most Used Generative AI?

The most used generative AI models include GPT-3 for text generation, DALL-E for image creation, and Jukedeck for music composition. These models are widely adopted for their versatility and effectiveness.

What are Some of the Use Cases for Generative AI?

Use cases for generative AI include creating realistic images and videos, generating human-like text, composing music, and even designing products. It is also used in gaming and virtual reality to create immersive experiences.

How to Use GenAI in Daily Life?

In daily life, GenAI can assist with writing, generate creative content, automate routine tasks, and provide personalized recommendations in areas like shopping, entertainment, and education.