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Digital Media Consumption Behavior and Trends

3 minutes, 25 seconds read

With the relentless treadmill of disruption, the potential of media and entertainment companies to understand their customer’s digital consumption behaviour today is greater than at any time in history. 

Among the digital devices, mobile devices have taken over as the preferred medium of consuming content online. The smartphone market has seen unprecedented growth in the last 5 years. Smartphone devices across the globe grew at a CAGR of 17% as compared to 9.5% growth in all mobile devices. Smartphones crossed 2 billion marks in 2014 and are expected to reach 4.6 billion by 2019. 

This led to an increase in the number of devices capable of supporting digital media in tandem. Billions of screens and increasing internet access speed provided consumers with an option to access the media content of their choice anytime, anywhere.

Consumers are shifting their preferences towards digital media consumption as compared to traditional forms of media such as TV, print press, and radio. People are spending more time on digital forms of media rather than traditional mediums. This increase is mainly coming by cannibalizing traditional advertising mediums.

The increasing popularity of digital media has provided for a paradigm shift in global advertising spends.  Marketers who are seeking to monetize content and capture growth are following the changing trend and increasingly allocating their budget to digital mediums. Spending on digital media as a percentage of total advertising spend has increased from 21% in 2010 to 28% in 2015 and is further expected to reach 36% by 2020.

Gen Z’s digital media consumption trends

Generation Z represents 1.8 billion people or 24% of the world population. Having an invigoratingly different attitude, Gen Z has a tremendous effect on the overall perception and digital media consumption. 

They prove to be more entrepreneurial; growing up with search engines they like to discover content for themselves. They also like to be involved in the process, contribute to the solution and be more absorbed in experiences. 

Though a wide range of digital consumption, the Gen Z capture insights from an array of sources. Translating these resources into viable products, services and business models will go a long way in defining the leaders of today and the leaders of tomorrow

Billion screens into digital consumption powerhouse

With a population of more than 1.3 billion and around 570 million internet subscribers, India has the world’s second-highest number of internet users after China; growing at a rate of 13% annually. India to overtake the US on time spent on digital videos. The global streaming platforms are looking to capitalize on the country’s fast-growing digital content consumption. The impressive scale of the market and a liberal foreign investment environment are strategically appealing to investors.  

Media consumption billion screens

India is among the top five markets in the world based on the number of users for online and mobile gaming; with more than 90% of millennials preferring smartphones over gaming PCs and other devices. Besides, India consumes the highest data per user in the world. In 2019, adults in India, on an average spend 29.9% of their total daily media time on digital. In a recent report, the Telecom Regulatory Authority of India estimated the digital consumption of data to be around 7.69 gigabytes per month.


Leap through these Digital Challenges

India offers global investors enormous opportunities for growth. However, there also are several persistent challenges to consider before making the leap. Increasing use of digital media has accelerated video consumption, but it also has increased the piracy threat. In fact, growing piracy is likely to restrict the full monetization of content. As well as large-scale acceptance of subscription video on demand in India.

Digital advertising, a top-30 focus area of the industry, has lost as much as US$8 billion in revenues. Half of the loss incurs from “nonhuman traffic” — fake advertising impressions; that are neither generated by genuine advertisers nor received by actual consumers. The other half derives from a variety of factors such as ad-blocking and content infringements, like the sharing of passwords.

We provide innovative solutions for growth, customer engagement and streamline business processes. 

Want to make the maximum of your brand? 

Reach out to us at hello@mantralabsglobal.com

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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