#12 The Hard Truth About Scaling AgeTech

The opportunity is massive, yet the challenges are structural. Here's why AgeTech companies may face challenges in scaling up.

Like many, I started working on AgeTech because I considered it to be an area of inevitable technological innovation. The facts seemed to speak for themselves across a simplified chain of logic:

1. The demographic trends are baked in: By 2030, 1 in 5 Americans will be over 65. The UN projects the global 65+ population will double to 1.6 billion by 2050. This is not a forecast that depends on assumptions. It’s driven by current demographics, and you can’t argue with the math.

2. Big money is involved: Those aged 70+ control 32% of US wealth. Medicare alone spent $944 billion in 2022. By 2029, the federal government is projected to spend half of its budget on social services and healthcare for people aged 65+.

3. Low technology adoption despite clear need: Older adults face real, daily challenges (declining mobility, cognitive changes, social isolation), yet the tools available to support an aging population don’t meet people’s needs. Many senior care facilities still run on paper records and disconnected systems. Remote monitoring, fall detection, and caregiver coordination tools exist but none have achieved wide-scale adoption. Three in five adults 50+ say that technology is not designed with their age group in mind. The gap between what technology could do and what it actually does for older adults remains surprisingly wide.

Through the lens of a technologist, this looks like a space of enormous opportunity. The math is straightforward: an aging population coupled with healthcare spending that dwarfs most other sectors, all underpinned by genuine quality-of-life problems, creates what should be a venture capitalist’s dream. On paper, the thesis is perfect.

But the Math Doesn’t Add Up

In a prior post on AgeTech unicorns, we took a closer look at the billion-dollar outcomes in the space. The picture was sobering.

Much of what gets counted as AgeTech is really healthcare technology that serves an older patient population. The harder, less explored category is technology built around the daily experience of aging: staying independent, staying connected, staying safe at home. Almost all billion-dollar outcomes in the space have come from healthcare platforms. The companies tackling aging-specific problems outside of clinical care have produced very few.

For the purposes of this post, I define AgeTech as technology that directly serves older adults and their caregivers, whether through healthcare delivery, daily living support, safety monitoring, social connection, or care coordination. "Longevity Tech," by contrast, targets people who want to avoid the impacts of aging, not people who are already navigating it. To put it simply: Longevity Tech is for the 35-year-old looking to stay fit while AgeTech is for the 75-year-old trying to stay in her home.

The contrast between AgeTech and Longevity Tech is stark. In 2025, AgeTech attracted $700M in venture funding. Longevity Tech attracted $8.5B the year earlier. Though these two categories are often lumped together, their fates could not be more different. Longevity Tech benefits from consumer enthusiasm for wellness, anti-aging, and biohacking — markets with existing demand and viral appeal. AgeTech is building for a population that the tech ecosystem has largely overlooked.

So what’s going on? The opportunity is real, but the path to scale is riddled with structural challenges. These challenges look different depending on whether a company is selling directly to consumers (B2C) or to organizations (B2B). In both cases, the standard tech playbooks fall apart.

I share these observations not to discourage anyone from entering the space, but so that founders and investors can go in eyes wide open about how their startup needs to be built to address them.

The B2C Challenge

Most consumer tech companies grow through some combination of low-cost distribution, virality, and high retention. The historical pattern is predictable: build something compelling, make it easy to find, rely on word-of-mouth to accelerate growth, and keep people coming back. In AgeTech, each of these levers is harder than it looks, and in some cases, they don’t work at all.

Product design approach must be inclusive

User requirements for ease of technology are incredibly high in this market. Older adults have less patience for products that don’t deliver immediate value. The tolerance for buggy MVPs or “figure it out as you go” onboarding doesn’t fly here. Things need to work immediately, in the first couple minutes. If they don’t, the customer churns, often permanently.

Design requirements are also specific to older adults and need to be considered from the start. Swiping gestures, for example, are harder for people with reduced dexterity. Small text and low-contrast interfaces create barriers. Standard UX patterns that work for younger users can be unusable for the target audience.

The identity barrier

Beyond usability, there is a deeper identity issue: people generally don't like to adopt technologies that make them feel old, and very few preemptively seek out assistive technologies that may come in handy at a later date. The dedicated fall detection pendant is a case in point. The technology has been around since the late 1980s, when Life Alert first launched. Nearly four decades later, only about one in ten adults 65+ uses a medical alert device, even though one in three falls each year and fall-related injuries cost $80 billion annually. The product works, but it signals frailty.

The most successful consumer products for older adults tend to be the ones that don’t look or feel like “aging products” and are straightforward and easy to use. This is a narrow design window that most startups struggle to hit.

No viral loops

Most consumer tech companies grow through some combination of organic sharing, referrals, and network effects. This playbook breaks down when the user base is less digitally connected. Many older adults aren’t on Instagram, aren’t browsing Product Hunt, and aren’t texting friends referral links. Even when an older adult loves a product, the likelihood of organic sharing is meaningfully lower than in other demographics.

In consumer tech, a great product can acquire millions of users through organic sharing alone. In AgeTech, even the best product might need to be hand-sold one family at a time.

No natural distribution channels

The distribution channels that do exist for reaching older adults are expensive and blunt. Facebook is one of the few digital platforms where older adults are active, but reaching them there means competing for attention through paid ads, not organic discovery. Television still works, but it is a mass-market tool with high costs and limited ability to target. Neither channel lends itself to the kind of capital-efficient growth that consumer tech investors expect.

The channels that do reach older adults in person (healthcare providers, the Village Network, senior centers) are fragmented and slow to recommend solutions. There is no equivalent of the App Store “featured” page for the 75-year-old market. Companies end up relying on direct mail, in-person demos, and referral relationships. All high-touch, and all hard to scale.

Complex buyer dynamics

In many AgeTech use cases, the person paying isn't the person using, like when an adult child signs up for a monitoring service their parent never asked for. This split between buyer and user creates friction that most consumer tech companies never have to deal with.

Starting with the question of “who pays”, the adult child might cover the cost out of concern, but on the other end, the older adult on a fixed income scrutinizes every new subscription. Medicare and Medicaid cover certain devices and services, but reimbursement pathways are narrow, slow to update, and vary by state. Private insurance rarely extends to products focused on daily living or social connection. There is no single, reliable payer for most AgeTech products, and startups end up navigating a patchwork of willingness and ability to pay.

Even when someone does pay, the incentives between buyer and user can conflict. The adult child wants peace of mind. The older adult wants independence. A monitoring system that sends alerts every time a parent gets up at night might reassure the child but makes the parent feel watched. The value proposition that closes the sale is not always the one that keeps the product in use.

This is where adoption breaks down. Even when everyone agrees the product is a good idea, the older adult may have limited comfort with technology or physical limitations that make onboarding difficult. The adult child who bought it may not live nearby to help set it up. Poor Wi-Fi, no smartphone to pair with, or no one to troubleshoot when something goes wrong — all these can lead to many products that are purchased but never fully adopted.

The B2B Challenge

If B2C is hard, B2B presents its own structural headwinds. The organizations that serve older adults are not like the enterprise customers most B2B SaaS companies are built to sell to. This mismatch creates compounding friction at every stage of the sales process and erodes the unit economics that venture-backed companies depend on.

Fragmented and small players

The organizations serving older adults (home care agencies, senior living communities, adult day care centers) are overwhelmingly small businesses. Many are independently owned. Others are franchise players where each location operates semi-autonomously.

Home care is a good example: Visiting Angels, one of the largest home care franchises in the US with over 600 locations, operates through independently owned agencies that each have only a few dozen employees. Selling to Visiting Angels’ corporate office doesn’t mean you’ve sold to its network. Each franchise makes its own technology decisions.

This means that even when a company lands a contract, the deal size is small, and the sales process is just as long and complex as selling to a Fortune 500 company. In senior living, a sales executive of a well-known consumer product shared that the time from first contact to a pilot can be a 6-8 month conversation, followed by a 3-month trial period before any commitment to a broader rollout. The sales cycle may compress when the product solves a sharp, immediate pain point, but many months before seeing meaningful revenue from a single customer is not unusual.

Outdated tech Infrastructure

Many senior care organizations still rely on fax machines, paper records, and disconnected point solutions. Systems are complicated, out of date, and largely un-digitized.

For a startup selling into these environments, the implementation lift is enormous. It’s not just “install our software.” It’s “help us get your data out of this spreadsheet your office manager has been maintaining since 2009.” Every deployment risks becoming a consulting engagement. Consulting doesn’t scale, and it also doesn’t create lasting leverage for the startup. A company that succeeds through custom implementation work has built a business that requires custom implementation work to grow.

Staff turnover compounds training costs

Even when an organization adopts new technology and trains its staff, the benefits are fragile. The senior care industry has notoriously high turnover. Annual turnover in nursing homes can exceed 50%. The person trained last month might not be there next quarter.

This means that customer retention for B2B AgeTech requires ongoing re-training and re-engagement, a cost most early-stage startups struggle to absorb. Training one staff member on a platform doesn’t mean anything if they’re gone in three months and their replacement has never heard of it. The cost to keep the customer successful never really decreases. It’s a permanent drag on profitability.

So Where Does that Leave Us?

Scaling in AgeTech requires more patience than in other tech categories. The sales cycles are longer. The learning curve for customers is steeper, and it takes time for older adults and the organizations that serve them to become comfortable with new technology. Companies that succeed in this space will likely need a larger service component than a typical SaaS business: more hand-holding during onboarding, more ongoing support, more in-person touch points.

This isn’t a weakness of the market. It’s a feature of it that needs to be built into the business model from day one.

The founders and investors who win in AgeTech will be the ones who accept these dynamics rather than fight them. Longer timelines, more service-intensive delivery, and unit economics that look different from typical SaaS benchmarks are not signs of a broken market. They’re the cost of entry into one of the largest untapped opportunities in tech.

Despite well-funded startups and existing incumbents, this space remains a greenfield of opportunity. There is still space to build, still space to establish category-defining companies, and still an enormous population whose needs are not being met by the technology available today.

The demographic wave is coming regardless. The question is whether we can build the companies and infrastructure to meet it.

Are you interested in building infrastructure solutions and collaborating across stakeholders to address these problems? We’d love to connect — reach out at jenny@lightswitchlabs.com.