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Surprising trends in India’s digital content consumption

4 minutes, 35 seconds read

In a country that ranks second in the world for video consumption, cheap data is often attributed as the primary driver behind it. Although data is cheapest in India (Rs. 18.5/GB in 2018, Rs. 3.4/GB in 2019), regional content curated and consumed by natives contributed a great deal to the adoption of digital in rural India. Digital content consumption is expected to double, with over a billion of the population having a smartphone by the next decade. Let’s see what will change in the coming decade? But before, a quick insight into the existing Indian digital landscape.

India’s Digital Demography

Users: 94% of the urban population in India has an internet subscription; which falls to a considerable low among the rural populace (only 24%), according to TRAI.

There are four categories of internet users – Digital sophisticates (3%): these are tech-savvy, wealthy, and urban and prefer global and original content; Digital enthusiasts (36%): these are mainly smartphone & TV streaming users with preference for Hindi and regional content; Digital mainstream (59%): these are predominantly smartphone users and seek free content available online or bundled TV packages; Fringe users (2%): these are irregular users belonging to remote areas where internet connectivity is poor. (India’s Digital Future, KPMG, 2019)

Temp-infographic

Preferences: Nearly 30% of google search in India is voice-driven (Business Standard, 2019), indicating voice assistance will further progress linguistic democratization.

In India, YouTube accounts for nearly 265 million unique, active users. 95% of these users watch videos in their regional languages (Economic Times, 2018).

Google and Facebook account for nearly 80% of the digital advertisement in India (KPMG India analysis). In 2018, Google reported INR 93 billion in revenues from its operations in India, with 67% accruing from its digital ads platform. Also, video ads contribute to most of ad-spent (53%).

In 2018, there were 340 million smartphone users in India, which is projected to reach 829 million by 2022, according to the CISCO VNI report.

New Trends in Digital Content Consumption

Today, video streaming services have more subscribers (613 million) than traditional cable connection (556 million), according to VentureBeat news.

The media consumption in India has grown at a CAGR 9% during 2012-18 (IBEF, 2019), which is almost nine times that of the US. Print media and television remains the largest platform for advertisement, however the future might witness a shift.

The Indian FMCG sector spends the most on digital advertising. However, considering its overall budget, it’s only 16%. Interestingly, the BFSI sector spends nearly 38% of its marketing budget on digital advertising. (Dentsu Aegis Digital Report, 2019) This indicates that industries have started to realize and invest in digital platforms.

Regional content: According to KPMG in India analysis, consumers spend 35-43% of their time on regional videos on digital platforms. Digital content and media platforms like Zee5, Hotstar, Voot, and Amazon Prime Video are keen on producing original and region-based content. According to Financial Express, the cost to develop regional content is 30-40% lower than that of Hindi and has a larger viewership. 

Original content: The increased digital content consumption also demands originality. Today, content generation is not limited to the media and entertainment industry. For instance, in September 2019, Zomato launched a video streaming service on its app. The primary goal remains the same- customer engagement. Addressing the fact that food is not the only thing people consume these days, businesses are penetrating the minds of youth through quality and original content. 

Hotstar reports 80% of its viewership from dramas and movies and plans to invest INR 120 crores in creating original content.

The Future of Content in India and APAC

The next significant disruption in content consumption will come from 5G technology. Because digital content needs internet and India’s still dangling between 2G and lower cap of the 4G network. Setting up a 5G network will require a $500 billion investment in the next 5-7 years. The government is expecting the initial deployment of the 5G network by 2020 and roll-out by 2022.

5G technology will be able to handle more traffic at a higher speed, satisfying the demand for high data and the growing number of mobile users. HD content will become a thing of the past and consumers will be interacting with augmented reality in their everyday life. It will not only enhance augmented reality and virtual reality experiences but will also support IoT, autonomous vehicles, and automation to name a few. However, India isn’t quite ready for 5G technology yet. The following graph illustrates the countries which are about to enter the 5G era.

5G-Adoption-across-the-world

An overview of digital behavior in Japan, Korea, and Singapore which are among the top 10 countries to deploy 5G.

 JapanRepublic of KoreaSingapore
Internet penetration93%99.5%84.0%
Mobile penetration89.9%95.8%147.3%
Preferred device to go onlineSmartphone (59.7%)Smartphone (94.3%)
Online activityEmail (80.2%), weather report (65.8%), transport (63.4%)Communication (95.2%), information search (94.0%)

Source: SourceSource: India’s Digital Future, KPMG

5G will also make technologies like Augmented Reality, Virtual Reality, cloud-based gaming, IoT and OTT services commercially available.

Apart from this, AI (Artificial Intelligence) will continue to retain customer engagement through predictive analytics, machine learning, and natural language processing capabilities.

For example, Hotstar uses machine learning algorithms for personalized movie recommendations. It predicts user preferences by calculating total watch time per user per month. The company is leveraging AI technology for translations, audio to text conversions, video compression, object detection, and scene classification.

Also read – Your Shopping Cart just got a whole lot Smarter, this festive season.

We’re an AI-first products and solutions firm with extensive experience in insurance and consumer internet domains. Feel free to reach us out at hello@mantralabsglobal.com for an intelligent digital solution to your business requirements.

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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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