Delving into the world of groundbreaking technology and numerical data, we unveil the transformative power of automation in the insurance industry. This blog post offers an analytical dive into the fascinating, yet complex terrain of insurance industry statistics, giving you a graphical representation of how automation is shaking up traditional business models. We will be exploring how cutting-edge developments promise to streamline operations, reduce human error, and dramatically enhance customer satisfaction. Whether you’re an industry insider, a tech enthusiast, or simply someone interested in how technology is revolutionizing different sectors, prepare to immerse yourself in the intriguing fusion of automation and insurance. Welcome to an informative journey into the data-driven future of insurance.

The Latest Automation In Insurance Industry Statistics Unveiled

By 2024, 70% of all new business in the life insurance industry could be underwritten automatically.

Peering into the not-so-distant future, the life insurance sector is poised for transformation. This glimpse into forthcoming upheaval is encapsulated by the stark projection—70% of all new business in the life insurance industry could be underwritten automatically come 2024. What an exciting revelation for the discourse on automation in the insurance industry.

This striking statistic articulates the gate-crashing pace at which automated underwriting is predicted to inundate the sector, breaking down age-old models of doing business. It’s like turning the hourglass upside down – with technology, time, and efficiency now giving a significant edge to enterprises that embrace automation.

Considering the topic of our discourse, this nugget of information could serve as a linchpin for understanding trends and future directions. It underscores the dynamic integration of technology and the ripple effects of these automated underwriting systems, both in terms of speed and accuracy.

By shining a light on such a progressive shift, this statistic serves as a precursor for stimulating dialogue, presenting potential opportunities, and making readers contemplate on overarching questions – How might life insurance firms need to redesign their strategies? What implications could this have on traditional job roles? Will customers forgive the warmth of human interactions for the precision and efficiency of automated systems?

In essence, the statistic serves as a potent catalyst, inviting ripples of thought about the transformations triggered by the integration of technology within the insurance sector. It underscores the impending reality, sparks dialogue, and helps us anticipate and adapt to an automated future in insurance.

By 2021, 75% of insurance executives believe AI (Artificial Intelligence) and automation will either significantly change or completely transform the overall insurance industry.

Highlighting this strategic forecast bolsters the narrative of rapid digital transformation within the insurance industry, acting as a vivid indicator of the scale and pace at which change is anticipated. This critical insight serves as a clear harbinger of the inevitable shift towards AI and automation, a trend echoed by 75% of the industry’s leadership. It underscores their conviction for a future where AI and automation will not merely tweak existing processes but may cause a total upheaval in the industry. Therefore, this statistic underscores the urgency for industry stakeholders to understand, plan for, and embrace these imminent technological changes. The statistic offers a quantifiable shout from the mountaintop that the landscape of the insurance sector is expected to be dramatically redrawn by the hands of AI and automation in the near future.

The global insurtech market is forecast to grow by a CAGR (Compound Annual Growth Rate) of 36.5% between 2019 and 2027.

When it comes to the sheer pace of its progression, the insurtech market isn’t playing games. By achieving a compound annual growth rate of 36.5% between 2019 and 2027, it is, in essence, turbocharging its value. This bold projection signals not just an ordinary growth, but rather a revolution, within the insurance sector. In the context of automation in the insurance industry, it highlights the crucial role new technologies have assumed. With insurers adopting advanced tech solutions like machine learning, artificial intelligence, and robotics, the industry is on a transformation journey. Hence, this projected exponential surge in insurtech market is essentially a vote of confidence in automation’s potential to reshape and redefine the insurance landscape.

By 2022, Gartner predicts 40% of customer-facing employees in insurance companies will consult or use AI solutions to drive automation and decision-making.

In a world where real-time decision making, process automation, and personalized customer interactions are becoming the norm, the prediction by Gartner of 40% of customer-facing employees in insurance companies consulting or using AI solutions by 2022 holds significant weight. It heralds a transformative era where artificial intelligence will be a key player in the intricate dance of ensuring the insurance industry operates efficiently.

Sharpening the focus on this fascinating statistic, it serves as a prediction of incoming tides in the insurance sector. The statistic paints a picture of an impending shift in the industry where AI will no longer be an optional asset but a necessary tool, influencing 40% of the customer-facing workforce.

The essence of this statistic, in the context of a blog post about automation in the insurance industry, is it hands an informative lens to the reader, shedding light on the path that the insurance industry is expected to take. This unveils a vision of a future where AI will heavily steer automation and decision making, defining new ways to engage with customers and perhaps revolutionizing policy management, underwriting, claims processing, and risk assessment in the industry. It’s a testament to AI’s potential in transforming business as usual in the insurance industry, trailing a blazing path towards a future of greater efficiency and optimized customer experience.

McKinsey estimates that by automating tasks in underwriting, carriers could reduce operating expenses by 20%.

Delving deep into this riveting statistic from McKinsey, one is immediately struck by the potential for significant cost reduction in the insurance industry through automation. Here’s the scoop: by introducing robotics into underwriting tasks, a whopping 20% reduction in operating expenses can be achieved. In the vast ocean of insurance industry statistics, this particular figure stands like a beacon, signalling promising trends towards efficiency and financial savings. More than just numbers, it’s a striking testament to the transformative power of automation, making it a crucial element to explore in any discussion about the future of the insurance industry. Essentially, it’s the golden key that could unlock unparalleled profitability and growth for insurance carriers.

About 44% of insurance companies expect to use chatbots and virtual assistants for customer service by 2025.

Highlighting the projection that approximately 44% of insurance companies expect to harness the power of chatbots and virtual assistants for customer service by 2025 paints a vivid image of the future of the industry. It not only underscores the increasing role of automation technologies but also reflects on their potential to redefine traditional customer service practices. Shining a light on this prediction conveys that the insurance industry is on the brink of an unprecedented digital revolution, with nearly half of the companies set to ride the crest of this wave. By emphasizing this shift, the blog post fuels a thoughtful conversation on what this could mean for both companies and customers- with improved efficiency, faster turnaround times, round-the-clock service, and ultimately, enhanced customer experience.

A study by Capgemini found that 60% of insurance companies are investing in automation with a focus on process efficiency.

Expounding on the relevance of a Capgemini study pointing out that 60% of insurance companies are investing in automation geared towards process efficiency, paints a vivid picture of the current momentum in the insurance industry. Apparently, there’s a sturdy crosswind powering the sails of firms towards the course of automated efficiency. The percentage is telling of an industry-wide shift prioritizing optimization – an unequivocal spotlight on how majority of insurance companies are no longer taking a backseat, but instead, actively steering their strategies towards a more efficient, automated future. This embodies a present-day narrative of investing in innovation and can be interpreted as a strategic allure to potential consumers who value service speed and precision.

Moreover, given the prevalence of automation investment, insurance firms absent from this statistic, might need to evaluate their strategies, or risk being left in the wake of this burgeoning trend. The statistic, therefore, serves as a looking glass into both current trends and future transformations within the insurance industry.

By 2023, Forrester predicts that cognitive and AI technologies will drive 70% of customer interactions in the insurance industry.

Interpreting this projection from Forrester, a tidal wave of change is expected to sweep the insurance industry by 2023. Cognitive and AI technologies are forecasted take the reins, steering up to 70% of customer interactions. Imagine, 7 out of every 10 conversations, inquiries, policy purchases and claim reports may possibly bypass human-to-human interaction altogether, making way for AI and cognitive systems. This anticipated shift signals immense ramifications for the insurance industry, potentially revolutionizing the way it functions.

This shift is pertinent for a blog post about Automation in Insurance Industry Statistics as it underscores the industry’s rapid march towards automation. This transformation could manifest in the form of AI-driven chatbots providing customer support, machine learning algorithms analyzing claims, and automated systems managing transactions, driving efficiency and effectiveness. For businesses in this space, the risks of ignoring this trend are high. Equally, for competitors who adapt successfully, a plentiful bounty of opportunities awaits. Based on Forrester’s prediction, AI could very well become the pulse of the industry, breathlessly knitting together its operations, driving performance, and shaping interactions with its customers.

Unraveling this statistic also sheds light for customers. A glimpse into the near future shows a landscape where their interaction with insurance services could be faster, more personalized, and available round the clock. However, the same prediction also raises pressing questions about data security, privacy, and the evolution of personalized customer service.

Ultimately, this statistic is the writing on the wall, heralding a time of transformation in the insurance industry. It’s a call to action for software developers, business strategists, risk managers, client service professionals, and customers alike. The future appears promising, yet poses a series of challenges. Will the industry rise to the occasion or falter in the face of change? Only time will tell.

Efficient use of Robotic Process Automation (RPA) can result in a 40-60% reduction in operation costs for an insurance company.

Highlighting a significant decrease in operation costs through the adoption of Robotic Process Automation serves as a compelling catalyst for dynamism in the insurance industry. The mentioned statistic demonstrates a transformative potential of RPA, with a projected reduction of 40-60% in operational costs. If correctly implemented, this could result in significant savings, amplifying profit margins for insurance companies. Therefore, this statistic stands as a pivotal beacon, illuminating the path towards a more efficient, cost-effective future for the insurance industry. It lends credence to the narrative of technology acting as a catalyst for industry-wide advancements, shaping the landscape of automation in the insurance industry.

More than 80% of executives believe artificial intelligence can drive productivity.

Illuminating the perspective of leading executives, the statistic revealing over 80% of them view artificial intelligence as a catalyst for productivity performance sets a compelling context. In the throes of the insurance industry, where efficiency and accuracy are paramount, this assertion takes on a more profound significance. Think about the labyrinthine matrices of data, the layers of policy detail, or the complex risk assessments involved; the burden on human shoulders is immense. The deployment of automation and AI promises not only to shoulder this burden but also to do so with higher precision and relentless continuity. This optimistic executive consensus echoes the potential of AI in redefining productivity contours in the insurance industry, aligning perfectly with the focus of a blog post on Automation in Insurance Industry Statistics. An innovative perspective, indeed, to underscore the profound capacity of AI and automation poised to revolutionize the insurance industry.

Almost half of executives say that by 2025, machines will perform more current work tasks than humans compared to 29% today.

Peering into the looking glass of the future, the statistic breathes life into the growing significance of automation in the insurance industry. At a close look, the impending shift—nearly half of today’s executives predict machines surpassing humans in performing tasks by 2025, compared to the mere 29% now— illuminates the acceleration of technology’s rendezvous with insurance. It implies drastic changes in the industry landscape where repetitive work tasks become primarily mechanized, thereby freeing up the human workforce for strategic tasks requiring critical thinking and fostering innovation. From augmented underwriting to automated claims processing, this surge envisages profound transformation, invariably coloring our understanding of the insurance industry’s roadmap towards automation.

By 2024, Gartner forecasts that sales of RPA software will reach nearly $2 billion globally.

Consider this awe-inspiring projection from Gartner – a whopping $2 billion in global sales of Robotic Process Automation (RPA) software by 2024. Unquestionably, this forecast stokes the embers of promise and potential for the insurance industry focused on automation. RPA stands as a game-changer, turning the tables in favor of efficiency and accuracy, effectively transforming everyday insurance tasks. With increases in software sales pointing to widespread adoption, it can be inferred that insurance companies, too, will likely harness the power and precision of automation. This forecasts not only a substantial shift in industry practices, but also anticipates the immense scale of the transformation, truly marking the dawn of a new era in insurance processing.

Approaching 40% of businesses plan to implement some form of automation in their operations within the next three years.

The illumination provided by the statistic – that almost 40% of businesses are planning to incorporate automation in their operations in the next three years – offers a revelatory peek into the future of the insurance industry. It underscores a progressive trend stirring within business processes across the board, a trend that will most likely impact the insurance ecosystem as well. This challenges insurance providers who are yet to embrace automation to recalibrate their strategies or risk being left behind in this technological race. Simultaneously, it offers a promising vista to innovators in automation, as the demand for their solutions is predicted to spike, particularly in the insurance industry which is heavily reliant on data and could hence greatly benefit from automation.

Automation can reduce close time by 20%-50% and improve forecast accuracy by 11%-40% for businesses.

Automation is like a turbocharged engine for the insurance industry, streamlining operations with speed and precision. Picture this: an industry landscape where close time, the period taken to finalize an insurance claim or process, is slashed by a staggering 20%-50%, all thanks to automation. The ramification is twofold – not only does this benefit the insurer by escalating productivity and efficiency, but it also means a customer can receive their claim payout quicker.

Now, let’s shift focus to the notion of forecast accuracy. In the world of insurance, prediction is a game changer. Whether it’s spotting possible fraudulent claims or anticipating customer needs, being able to accurately forecast trends is priceless. The impressive boost between 11%-40% in forecast accuracy, as a result of automation, isn’t just advantageous, it’s revolutionary. It dramatically reduces room for human error and facilitates strategic decision-making.

So, in the expansive universe of insurance industry, such a statistic about automation not only paints a future of enhanced effectiveness and accuracy, but also one of improved customer service and satisfaction – a scenario any insurance company would enthusiastically welcome.

Companies can save 20% to 60% of the full-time equivalent capacity with automation.

Delving into the compelling statistic that companies can save between 20% to 60% of full-time equivalent capacity through automation underscores its critical relevance to the insurance industry. Automation isn’t merely a buzzword; instead, it symbolizes efficiency, speed, and cost savings – integral components that ensure competitive advantage in today’s frenzied business climate.

In the context of the insurance industry, automation can streamline a plethora of processes, from underwriting and claim processing to customer service. The indicated savings transform this techno-advancement from merely desirable to almost indispensable. For an industry as labor-intensive as insurance, these savings could amplify productivity while slashing costs, resulting in improved margins and more significant financial freedom to invest further in technological advances or other strategic areas.

By initiating a discussion on a statistic that portrays such considerable savings, insurance firms might take note, reconsider their operational strategies, and start contemplating automation as a potent tool for carving out a sharper competitive edge.

A survey found that 58% of enterprises deploy automation to augment worker capabilities and more than half to save time on repetitive tasks.

In a world increasingly embracing digital transformation, the noted statistic highlights the rapid incorporation of automation within business models, underlining its importance in the insurance industry. The fact that a significant 58% of enterprises utilize automation to enhance worker capacity deepens our understanding of how crucial these mechanized processes are in reaching the industry’s efficiency objectives.

Furthermore, the discovery that over half of businesses leverage automation to save time on monotonous tasks is a revelation for the insurance sector. It unveils a path laden with opportunities for productivity gains and efficient resource management. This further nudges insurance companies to reconsider their operational strategies, with a strong inclination towards automation.

In essence, it reflects the pervasive influence of automation and its growing stature as a cornerstone of modern business processes, particularly in the insurance industry.

The global market for AI (which includes automation) in insurance was an estimated $1.3 billion in 2019 and is projected to rise to $2.9 billion in 2027.

Painting a vivid picture of the future, this striking data encapsulates the rising tide of automation in the insurance industry. It serves as an indicator of the rapid pace of change, forecasting almost a meteoric rise in AI-driven solutions from $1.3 billion in 2019 to $2.9 billion by 2027. This underlines the potential strength of this industry’s transformation and the opportunity it presents for tech-savvy companies and pioneers in the world of modern insurance. Thus, we navigate a journey from where we’ve been to where we’re boldly sailing – a world where AI and automation are instrumental in steering the insurance industry towards unprecedented advancements.

Customers who experience positive moments with automated AI interactions have 3.4 times higher conversion rates.

Gazing through the lens of this statistic, we unearth an impressive nugget of insight that dramatically underscores the power of automation within the insurance industry. It seems the satisfaction derived from positive encounters with automated AI interactions becomes a substantial driver for business growth. These satisfied customers are not merely likely to convert—they are actually 3.4 times more inclined to make commitments compared to those without similarly delightful experiences. This eye-opening data speaks volumes about the intrinsic value of AI automation in crafting outstanding customer journeys, effectively revolutionizing the insurance industry one interaction at a time. This ultimately propels conversion rates—a telling measure of business success—to a landscape where they are no longer just numbers but monumental pillars of strategic advantage and industry dominance.


The remarkable growth of automation in the insurance industry, as backed by compelling statistics, stands as an irrefutable testament to the sector’s technological revolution. From simplifying routine operations, reducing manual errors, enhancing customer service to making significant cost savings, automation is proving to be an incontrovertible game-changer. However, it is vital for organizations to proactively and strategically wield this tool, ensuring a balanced blend of technological and human elements. As the statistics continue to swell, it will be fascinating to watch how further advancements in automation shape the landscape of the insurance industry in the years to come. Future-focused insurers who are keen on staying relevant in an increasingly digitized world must acknowledge and embrace automation, not as a disruptor, but as the ally it has proven to be.


0. –

1. –

2. –

3. –

4. –

5. –

6. –

7. –

8. –

9. –

10. –

11. –

12. –