What are the current funding trends in edge AI?

All funding deals in the edge AI market over the last years

Below is the table listing all the deals. You can find our methodology at the end of this page.

If you want a deeper understanding of the market and its current dynamics, get our report covering the Edge AI Market.

Is Edge AI funding really booming right now?

Edge AI funding is growing very fast today, although the $21.55 billion headline makes the boom look much bigger than the change most startups are experiencing.

We counted 58 financings in the current period, compared with 22 over the same stretch of 2025 and 34 in 2024. The number of funded companies followed almost exactly the same path, rising to 57 from 22 and 34. That gives us a much stronger basis for calling this a real expansion than the capital figure alone.

The money has moved on a completely different scale. Quantifiable funding reached $21.55 billion, versus $389 million last year and $1.41 billion two years ago. Yet the median round only edged up to $12.5 million from $12 million and $11 million.

Edge AI currently has two things happening at once: many more companies are raising money, while a small group of physical-AI companies has opened up a financing tier that barely existed before.

Market measure	2026 YTD	2025 YTD	2024 YTD
Deals	58	22	34
Unique funded companies	57	22	34
Quantifiable capital	$21.55B	$389.2M	$1.41B
Capital excluding >$50M rounds	$534.6M	$253.2M	$321.3M
Capital excluding >$100M rounds	$634.6M	$389.2M	$629.8M
Median round	$12.5M	$12.0M	$11.0M
Average round	$391.8M	$19.5M	$41.5M
Largest quantified round	$16.0B	$85M	$487M
First-financing share	24.1%	13.6%	8.8%
Early-stage deal share	65.5%	63.6%	47.1%

Is Waymo doing most of the work in Edge AI funding?

Waymo is doing most of the work in the Edge AI dollar total, but nowhere near most of the work in the actual funding market.

Waymo's $16 billion financing accounts for 74.2% of all quantifiable capital we found this year. The three largest deals represent 86.3%, and the top five reach 92.2%. Anyone looking only at total dollars would therefore get an extremely distorted picture of what a normal Edge AI financing looks like.

The useful test is to remove the giant rounds. Excluding every financing above $50 million leaves $534.6 million, still more than double the comparable 2025 level and 66% above 2024. So Waymo explains most of the spectacular headline, but it does not explain why the underlying market is busier.

The stricter $100 million test adds another nuance. Capital below that level is 63% higher than last year but almost exactly back to its 2024 level. The ordinary funding market has recovered strongly from a weak 2025 rather than suddenly becoming several times richer than it was two years ago.

Are normal Edge AI funding rounds actually getting bigger?

For most Edge AI founders, round sizes have barely changed.

The current median is $12.5 million, compared with $12 million last year and $11 million two years ago. That is a fairly modest movement for a market whose average round has suddenly jumped to nearly $392 million.

The huge gap between those two numbers tells the story. A typical financing still sits in roughly the same range as before, while an upper layer of nine-, ten- and eleven-figure rounds has pulled the average into another universe.

This is why the giant Edge AI announcements we see these days make poor fundraising benchmarks for most companies. The typical startup did not suddenly go from raising $10 million to raising $100 million.

Are more Edge AI startups actually getting funded now?

A lot more Edge AI companies are getting funded now, and this is probably the cleanest sign that investor activity has genuinely strengthened.

We found 57 funded companies in the current period. Since there are 58 deals in total, repeat fundraising within the period barely affects the increase. The additional transactions are overwhelmingly additional companies.

The comparison with full calendar years is also striking. The current deal count has already reached 161% of the entire 2025 total and 141% of 2024, even though the current dataset stops before the final quarter. No annualization is needed to make that point.

There is breadth inside the categories too. Industrial Edge AI, on-premise systems, computer vision, cameras, telecom infrastructure and autonomous vehicles are all producing financings. Some are attracting enormous checks and others mostly Seed or Series A money, but the rise in company count is spread much more widely than the capital headlines suggest.

Is Edge AI turning into a two-speed funding market?

Edge AI currently looks very much like a two-speed funding market: most companies still raise conventional venture rounds, while a small upper tier is taking hundreds of millions or billions at a time.

Thirty-five of the 58 deals are below $20 million. That is 60.3% of all current financings, close to last year's 63.6%. Small and mid-sized venture rounds have not gone away.

What changed is the top. We counted 12 quantified financings of at least $100 million, compared with none in the same period last year and three two years ago. Those 12 rounds absorb 97.5% of the quantifiable capital.

There is almost no middle ground this year. We have eight deals between $20 million and $50 million and none between $50 million and $100 million. The distribution jumps from ordinary venture financing straight into a much more capital-intensive scaling tier.

Deal size	Deals	Share of deals	Share of quantifiable capital
Under $5M	15	25.9%	0.15%
$5M–<$20M	20	34.5%	1.0%
$20M–<$50M	8	13.8%	1.3%
$50M–<$100M	0	0%	0%
$100M+	12	20.7%	97.5%
Amount not quantifiable	3	5.2%	—
Total	58	100%	100%

Can new Edge AI startups still get funded?

Yes, new Edge AI startups are getting funded much more often today, although their first checks tend to be quite small.

We identified 14 first financings, up from only three in each of the previous comparable periods. Their share of activity has climbed to 24.1%, which is a meaningful change even after allowing for the limitations of reconstructing private-company financing histories.

The median first financing is only $2.63 million. Follow-on rounds have a $19 million median and absorb roughly $21.47 billion of capital. New entrants are therefore finding investors, but the very deep pools of capital sit much further along the company lifecycle.

That split is useful for founders. Edge AI does not currently look closed to newcomers. The hard part comes later, when a company needs the scale of capital required for manufacturing, fleets, deployment infrastructure or major industrial rollouts.

Where is Edge AI funding moving right now?

Edge AI funding is moving heavily toward physical systems, with autonomous vehicles dominating the dollars and industrial AI dominating the number of deals.

Industrial Edge AI is currently the busiest category, with 23 financings. Vehicle Edge AI has only five, yet those five account for $17.99 billion. On Prem AI has also expanded sharply to 13 deals, while Edge Vision Systems remains active with 11.

The capital split is much more extreme than the deal split. Vehicle Edge AI receives 83.5% of quantifiable money from only 8.6% of transactions. Industrial Edge AI takes another 15.1%. Every other category combined is left with little more than 1%.

That is where the market has rotated. Investors are still financing software-heavy edge applications, local inference and vision systems, but the really large checks are now going into AI that has to move vehicles, robots and industrial equipment in the physical world.

Edge AI category	Deals	Deal share	Quantifiable capital	Capital share
Industrial Edge AI	23	39.7%	$3.25B	15.1%
Vehicle Edge AI	5	8.6%	$17.99B	83.5%
On Prem AI	13	22.4%	$128.7M	0.6%
Edge Vision Systems	11	19.0%	$114.0M	0.5%
Edge AI Cameras	4	6.9%	$23.4M	0.1%
Telecom Edge AI	2	3.4%	$47.5M	0.2%
Total	58	100%	$21.55B	100%

Is autonomous driving taking over Edge AI funding?

Autonomous driving is taking over Edge AI funding in dollars today, while the rest of the market still produces far more individual financings.

The five Vehicle Edge AI deals include Waymo at $16 billion, Wayve at $1.2 billion and Waabi at $750 million. Those three alone create a financing pool that no other Edge AI category comes close to matching.

There is a practical reason these companies sit in a different capital bracket. Waymo linked its financing to a major expansion of commercial ride-hailing operations. Wayve described its new capital around scaled deployment of its AI Driver through automakers and robotaxi partners. Waabi connected its closed Series C to autonomous-trucking commercialization and expansion into robotaxis.

These are no longer businesses funding only another research cycle. Fleets, vehicle programs, safety work, compute, operations and international launches all cost real money. That makes autonomous driving one of the clearest examples of Edge AI moving from technical development into capital-heavy deployment.

Is industrial robotics actually getting hotter with investors?

Industrial robotics is clearly getting hotter with investors now, and the increase reaches well beyond one or two humanoid megadeals.

We counted 23 Industrial Edge AI financings, up from eight in the comparable 2025 period and 11 in 2024. Quantifiable capital rose from $178 million last year to roughly $3.25 billion.

The top of the category is substantial. Skild AI raised $1.4 billion, Apptronik added a $520 million Series A extension, Bedrock Robotics raised $270 million, LimX Dynamics raised $200 million and AI² Robotics raised $173 million.

Yet the category also contains smaller rounds such as Mowito at $3 million, Jaipur Robotics at about $5 million and Edgify at $9 million. That mix matters: startup formation and scale-up capital are moving in the same direction.

Commercial activity helps make sense of the investor enthusiasm. Skild has focused heavily on deploying its robotics intelligence across real industrial systems, while Apptronik has tied fresh capital to Apollo production and commercial deployment. Bedrock is pushing autonomous heavy equipment toward operator-less deployments. Investors are increasingly funding the expensive step between a robot that works and a robot business that can be deployed repeatedly.

Is on-device and on-prem Edge AI quietly taking off?

On-device and on-prem Edge AI are quietly becoming one of the busiest parts of the market, even though the category barely registers in the headline funding total.

On Prem AI produced 13 current financings, compared with just two in the same period last year. The median round actually slipped to $5 million, so this is mainly a rise in activity rather than a rise in ticket size.

The companies are tackling several versions of the same basic problem. Mirai is building AI that runs directly on consumer devices. Kodesage focuses on on-premise and air-gapped enterprise environments. Applied Brain Research works on ultra-low-power local voice inference. Clipto is building local AI search and memory for personal media.

The appeal is easy to understand. Latency, privacy, connectivity, data control and inference cost all create reasons to move some AI workloads away from centralized cloud APIs. Investors are currently backing more attempts to make that work, but they are doing it mostly with normal Seed and Series A checks.

Are Edge Vision startups falling behind?

Edge Vision startups are losing market share, but investors have not stopped funding them.

The category's deal share has fallen sharply from 40.9% last year to 19% today. Its capital share looks even worse because the giant physical-AI rounds reduce it to around 0.5%.

Absolute activity gives a less dramatic picture. Edge Vision Systems went from nine comparable-period deals to 11. Maneva raised $27 million, Almetra $19 million, Slamcore and Luxonis $14 million each, Shyld AI $13.4 million and Ubotica $11 million.

Computer vision at the edge is therefore still producing funded companies. The change is that robotics, autonomous driving and local AI have expanded much faster around it.

For now, Edge Vision looks more like a mature part of Edge AI losing relative dominance than a category investors are walking away from.

Are early-stage Edge AI startups getting squeezed out?

Early-stage Edge AI startups are still getting plenty of deals today, even though later-stage companies take almost all the money.

Seed produced 22 current financings and Series A another 16. Together they make up 65.5% of deal activity, almost unchanged from last year's 63.6%.

Series B and beyond tell a very different story once we look at capital. Series C alone accounts for about $2.45 billion, while a single Series D+ financing contributes $1.2 billion. Growth Equity contains the Waymo round and therefore reaches more than $16 billion.

The stage data also needs a little restraint. Unknown stages fell significantly versus last year, so part of the movement between early and later categories comes from better classification. Still, the broad picture is clear: early-stage fundraising remains active while the very large checks arrive much later.

Stage	Deals	Deal share	Quantifiable capital	Median quantified round
Seed	22	37.9%	$120.7M	$3.0M
Series A	16	27.6%	$909.9M	$13.5M
Series B	6	10.3%	$841M	$158.5M
Series C	7	12.1%	$2.45B	$110M
Series D+	1	1.7%	$1.20B	$1.20B
Growth Equity	3	5.2%	$16.02B	$11.8M
Unknown	3	5.2%	—	—
Total	58	100%	$21.55B	$12.5M overall

Why are corporate investors moving into Edge AI now?

Corporate and strategic investors are showing up much more often in Edge AI because many of the companies raising serious money now need industrial partners as much as financial backers.

We found defensible strategic participation in 24 current financings, equal to 41.4% of the market. The comparable shares were roughly 27% in both previous periods. The median quantified strategic deal has also climbed from $12.5 million last year to $83.2 million.

The investor names tell us why. Apptronik's extension included Google, Mercedes-Benz and John Deere. Skild's Series C included NVentures, LG and Schneider Electric. Wayve brought together NVIDIA, Uber and several global automakers.

Industrial Edge AI and Vehicle Edge AI account for 19 of the 24 strategic-backed deals we identified. Those are exactly the categories where partnerships can help with chips, factories, vehicles, customer access, manufacturing or deployment.

Corporate participation therefore looks increasingly connected to commercialization. A strategic investor can potentially become part of the route into the real world rather than simply another name on the cap table.

Are the same investors funding everything in Edge AI?

No, Edge AI funding currently comes from a much wider lead-investor pool than it did last year.

We found 78 unique disclosed lead or co-lead investors in the current period, compared with 28 in the same period of 2025 and 44 in 2024. Only FORWARD.one appears more than once as a lead or co-lead in the current set, with two deals.

That fits the wider company data. More startups are raising, more new companies are appearing and more investors are taking lead positions. The boom in deal activity does not look like a small venture club repeatedly financing the same portfolios.

We would be more cautious about individual firms that appear one year and disappear the next. An investor missing from the current lead list could still be active as a participant, could be investing outside our period or simply may not have led a qualifying financing. The broad increase in the pool is much more reliable than conclusions about any single firm's absence.

Is Edge AI funding becoming more global?

Edge AI fundraising is becoming more global by company count, although North America still captures almost all of the giant checks.

Europe currently has 23 deals, giving it 39.7% of the market, while North America has 19 and Asia-Pacific 13. Europe has therefore overtaken North America on deal count in the current period.

Money tells a very different story. North America captures 89.6% of quantifiable capital, compared with 6.7% for Europe and 3.5% for Asia-Pacific. The U.S. and Canadian autonomous-driving rounds explain much of that gap.

At country level, the U.S. has 16 deals, followed by the UK with seven, India with six and China with five. The startup market these days is clearly broader geographically than the capital market.

Europe is a particularly good example. Its deal share has risen strongly without anything close to a matching jump in capital share. More European Edge AI companies are finding investors, but the monster rounds remain concentrated elsewhere.

Why are the biggest Edge AI rounds so much bigger now?

The biggest Edge AI rounds are much larger now because a handful of companies are paying for commercial scale in the physical world, not just another phase of software development.

The maturity data fits that interpretation. The median funded company is four years old today, down from five in both comparison periods, because many younger companies are entering the market. Vehicle Edge AI goes the other way: the median company age is nine years, and those mature businesses are the ones taking the largest checks.

Waymo has tied fresh capital to expanding a commercial autonomous ride-hailing operation. Wayve is moving its AI Driver into robotaxis and production vehicle programs. Waabi is working toward commercial autonomous trucking while entering robotaxis. Apptronik is scaling Apollo production and deployment. Skild has increasingly linked its funding story to robots operating in factories, warehouses and other real environments.

Those activities require hardware, fleets, manufacturing, integration teams, safety work, customer deployment and large amounts of compute. The cost structure becomes much heavier once physical AI leaves the lab.

The more recent company updates we checked still point the same way. These businesses are currently talking about additional geographies, production capacity, deployment partners and real commercial operations. That makes the giant rounds easier to understand, even though it does not mean every Edge AI company will ever need or receive that kind of capital.

What is actually changing in Edge AI funding right now?

Edge AI funding is genuinely stronger right now, but the real change is a surge in company activity combined with an unprecedented amount of money going into physical-AI scale-ups.

As we saw above, the headline dollars are heavily distorted by a small number of rounds. Underneath that upper layer, however, more companies are raising, first financings are more common and funding below the megaround tier has recovered strongly.

Investor attention has also moved. Autonomous driving has become the dominant destination for dollars, while industrial robotics has become the busiest category and is growing at both the early and later stages. On-device and on-premise AI are broadening quickly with much smaller checks.

At the same time, strategic investors are appearing more often and the lead-investor pool has widened. That combination suggests the market is attracting new capital rather than simply recycling money through the same small group.

The trend we would treat most carefully is headline capital growth. The underlying market is clearly healthier, but nothing in the median financing suggests that ordinary Edge AI startups suddenly have access to hundreds of millions of dollars. The exceptional capital belongs to a narrow group that is already moving toward large-scale physical deployment.

What is changing	What we see today	What it means
Funding activity	Much more deal activity	The expansion reaches far more companies
Normal round size	Only modestly higher	Typical fundraising has changed much less than headline dollars
Megarounds	A new $100M+ layer has appeared	The top of the market now operates on a different scale
New entrants	First financings are much more common	New Edge AI companies can still find capital
Category mix	Vehicles and industrial robotics are gaining	Physical AI is pulling investor attention
Investor mix	More strategic and lead investors	The funding base itself is broadening
Company maturity	Younger companies enter while mature platforms take giant rounds	Edge AI increasingly has two distinct financing tracks