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AI Statistics 2025: Essential Insights for Business Leaders & Innovators

AI Statistics 2025: Essential Insights for Business Leaders & Innovators

By Rakesh Raghavan, social media marketing head @WAC, shaping brand stories and creating engaging strategies. With a strategic touch, he makes online experiences interesting, connecting well with our audience.
  • Published in Blog on June 20, 2025
  • Last Updated on July 29, 2025
  • 12 min read
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In a Nutshell

In 2025,

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Top AI statistics for analytics in 2025

Better business performance is an outcome of AI’s ability to analyze data closely. According to Gartner, companies that started using AI early have experienced noticeable improvements. The majority of them reported a 22.6% improvement in productivity, a 15.8% revenue increase, and a 15.2% cost savings. These results mainly come from faster data analytics and smarter decision-making.
Artificial Intelligence statistics: AI and job automation

 

 

pythonpython
1from fastapi import FastAPI  # Import the FastAPI framework for building web APIs2import asyncio               # Import asyncio to use asynchronous features like sleep3app = FastAPI()  # Create an instance of the FastAPI application4# Define an asynchronous HTTP GET endpoint at the path "/process"5@app.get("/process")6async def process_data():7    # Simulate a non-blocking operation that takes 1 second (e.g., external API call, DB access)8    await asyncio.sleep(1)9        # Return a JSON response indicating that the process is completed10    return {"status": "completed"}