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Here’s how Insurtechs are evolving India’s Insurance landscape during the Pandemic

7 minutes read

The COVID-19 pandemic and subsequent global lockdowns triggered plenty of structural changes that forced insurance companies to enter the arena with their eyes on the prize. The pandemic year thus proved to be a catalyst, in turn, nudging insurers to shift their focus and prioritize customer experience, market agility, and business resilience. 

According to BCG, “Globally, insurtechs raised $7.5 billion last year, as COVID-19 accelerated the need for digital transformation in insurance.” 

Investor funding in insurtech came to $5 billion in the first quarter of 2021 with 261 deals, according to Forrester’s “Insurtech funding roundup, Q1 2021” report. 

How has the pandemic impacted Insurtechs in India 

India is the second-largest insurtech (insurance technology) market in the Asia-Pacific region, accounting for 35% of the $3.66 billion of venture capital coming into the sector, according to S&P Global Market Intelligence data.

“Insurance technology investors are attracted to India since it is one of the fastest-growing insurance markets in the world,” said the report. 

Insurance premiums in India have been reported to have totalled $107 billion in India until March 31, 2020, growing at a compounded annual growth rate (CAGR) of 10% from FY15 to FY20. 

“While big techs are vying to become digital intermediaries in the insurance space, established carriers are building proprietary digital channels. Startups that assist both incumbents and big techs in making this transition will likely emerge as winners,” the S&P report continued.

“Partnerships between large insurers and insurtechs have the potential to enable more personalized online distribution, predictive underwriting, and more efficient claims management,” said Alpesh Shah, managing director and senior partner, Boston Consulting Group while speaking with the business daily, Mint. 

Read: How Insurtech is Reshaping the Future of Insurance

The fast-growing industry is introducing solutions for AI-based underwriting, virtual claim filing, among others. The next big revolution could come in the form of blockchain contracts, where customers might not need to file a claim. Bajaj Allianz General Insurance has already introduced a travel insurance product that uses blockchain to settle claims on flight delays automatically.

In another scenario, Acko General Insurance tied up with over 20 digital platforms across retail, travel, finance, and others to distribute bite-sized insurance. Ola’s trip insurance by Acko has insured more than 23 million rides in less than 10 months and is being hailed as one of the most innovative insurance products in the industry.

Another Insurtech startup, Toffee Insurance, offers insurance against theft or damage to bicycles and accidental injuries related to a fitness activity or sport.

Image Courtesy: fintechnews.sg 

Speaking about the Insurtech evolution and their funding in India, BCG’s India Insurtech Landscape and Trends reports that, “Global funding in Insurtechs have grown from about $2 billion in 2016 to $6 billion in 2020. While Americas account for the largest share of funding (68 percent of funding in 2020), Asia has been the fastest-growing geography till 2019 (5-year CAGR of 60 percent). In India too, albeit with a smaller base, funding has seen an increase from a modest base of $11 million in 2016 to $287 million in 2020. The funding trend has continued with Turtlemint raising $30 million in November 2020 and Digit raising around $84 million at the start of 2021.” 

“APAC-based insurtechs attracted $1.4 billion—up 15% year-over-year from the previous year—driven by companies headquartered in China ($800 million) and India ($450 million). Representative examples are Medbanks, a medical database-services company offering oncology-related services, which brought in $305 million in Series E+ funding, and Policybazaar, a price-comparison portal that raised $130 million in Series E+ funding,” the report continued. 

Insurers vs. Insurtechs in the current ecosystem

Image Source: everis.com 

Claims in the digital age

Even before the COVID-19 pandemic struck, customers had already begun leading digital-centric lives that required insurers to rethink their MO and strategies. “With the demands and constraints of the pandemic, a technology-enabled service delivery with a digital claims process is non-negotiable and mission-critical. In the past, these needs may have gone unmet due to lack of technology solutions or an insurer’s inability to capitalize on technology, but the situation today is very different,” reports Deloitte. 

The COVID-19 pandemic affected Insurtech firms on various levels, impacting demand, claims, and loss patterns in a number of ways across product lines and operating models. 

Thus, arose a need to overhaul and reset the core value system and give way to a new growth engine led by customer retention and loyalty, both driven by customer interactions with insurers, specifically during the claims experience.

“Claims operations, which have been traditionally treated as outputs of a “reactive back office,” will have to become a powerful differentiator—innovative and uncompromising on customer service, with multifaceted talent and capable of driving strong results,” continues the Deloitte report. 

Digit, an India-based multi-line insurer, launched a new product that covers pre-and post-hospitalization expenses, road ambulance charges, and a second medical opinion regarding eight viral diseases, including COVID-19 and dengue. 

For Care Health Insurance, erstwhile Religare, Mantra Labs, the Bengaluru-based Insurtech firm deployed Hitee, a conversational chatbot to be the first-level customer support for existing and new customers. This led to higher New Business Conversions by a factor of 10X, and a significant drop in Customer Queries over Voice Support by 20%.     

Source: www.mindbowser.com 

The pandemic and its subsequent wave accelerated the shift towards going digital in the insurance industry. In 2021, there is an apparent inclination towards personalization, data mining, automation, and cloud computing in the Insurtech space.

Read the 7 key trends we’ve expected this year in Insurance here. 

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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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