Market size and the enterprise problem. How unwanted calls are degrading the enterprise voice channel — and the infrastructure-level opportunity to solve it.
Over 125 billion unwanted calls were made in the last 12 months — a 62.4% increase year-over-year (TNS, March 2026). In the US alone, 52.5 billion robocalls reached consumers in 2025, with spam volume up 20-33% depending on the source. The problem is not improving. It is accelerating.
For large enterprises with thousands of phone lines, the impact is systemic. Every spam call that reaches an enterprise phone system steals an average of 3 minutes and 42 seconds of employee time. Across an organization with 5,000 lines receiving even 10 spam calls per line per day, that compounds into thousands of lost productivity hours per month.
86% of unknown calls now go unanswered (Hiya, 2026). Spam has eroded trust in the voice channel entirely. Enterprise employees screen and ignore calls — including legitimate ones from customers, partners, and prospects. The result is not just a nuisance. It is a degradation of the enterprise voice channel as a business tool.
Fraudulent robocalling is projected to cost $76 billion globally (Juniper Research). Phone-based fraud accounted for $948 million in documented US losses in 2025. Enterprise phone systems are primary targets for social engineering and vishing attacks — and the threat is growing more sophisticated by the month.
1 in 3 consumers has received a deepfake call (Hiya, 2026). AI-generated voice scams are adding a layer of sophistication that existing enterprise filters were never designed to handle. Deepfake calls can impersonate executives, vendors, and partners — making social engineering and vishing attacks significantly more dangerous for enterprise organizations.
AI has lowered the cost of launching phone-based attacks to near zero while dramatically increasing their effectiveness. The average loss to scam robocalls increased to $3,690 per victim in the first half of 2025 (PIRG). At the enterprise level, a single successful vishing attack can compromise credentials, financial systems, or sensitive data worth millions.
Consumers believe the problem is getting worse, not better. Scammers and fraudsters are outpacing current protection efforts. The number of phone companies that have fully implemented robocall-fighting technology has actually dropped in the last year.
AI-generated voice scams are reaching enterprises. Traditional spam filters cannot detect deepfakes. Infrastructure-level AI detection is the only scalable defense.
The average individual loss to phone scams increased in 2025. At the enterprise level, successful social engineering attacks can result in losses orders of magnitude higher.
The number of phone companies with fully implemented robocall-fighting technology has dropped year-over-year. The defense infrastructure is weakening while the attack surface grows.
| Segment | 2025 | 2030-2035 | CAGR |
|---|---|---|---|
| Robocall Mitigation (Global) | $5.6B | $21.1B (2035) | 14.2% |
| Robocall Mitigation (North America) | $5.1B | ~$12-14B (2033) | 21.1% |
| Anti-Spam Software (Global) | ~$7B | $22B (2030) | 21.6% |
The FCC removed over 1,200 voice service providers from telephone networks in 2025. STIR/SHAKEN mandates are expanding. The regulatory environment is tightening — creating both compliance pressure and market opportunity for infrastructure-level solutions.
North America leads the global robocall mitigation market with approximately 40% market share, driven by regulatory enforcement, high enterprise telecom penetration, and the sheer volume of unwanted call traffic on North American networks.
43% of spam traffic now carries A-level STIR/SHAKEN attestation (TNS, 2025). This means nearly half of all spam calls are passing through existing carrier-level authentication frameworks as "verified" traffic. The technology designed to stop robocalls is being exploited by the very actors it was built to block.
Most enterprise spam solutions operate at the application layer — filtering calls after they have already entered the network. This approach is reactive, not preventive. It catches known patterns but misses new tactics, spoofed attestation, and AI-generated calls.
The result: enterprises invest in call filtering, and the spam still gets through. Employees lose trust in the phone system. Legitimate calls go unanswered. The voice channel — one of the most critical enterprise communication tools — becomes unreliable.
Nearly half of spam traffic carries A-level attestation, passing through existing carrier-level filters undetected. Current mitigation frameworks are insufficient.
Most enterprise solutions filter after the call enters the network. By then, the disruption has already occurred — the phone has already rung, the employee has already been interrupted.
Every spam call that reaches an enterprise phone system steals nearly 4 minutes of employee time. At enterprise scale, this represents thousands of lost hours per month.
Juniper Research projects $76 billion in global losses to fraudulent robocalling. Enterprise phone systems are primary targets for social engineering and vishing attacks.
Most spam mitigation solutions operate at the application layer — after the call has already reached the enterprise. Nucleus operates at the infrastructure layer. We own the telecom. We see the traffic. We can identify, filter, and block at the source — before it ever touches the enterprise phone system.
For large enterprises processing millions of calls, that difference is the difference between mitigation and elimination. When 43% of spam is bypassing STIR/SHAKEN and deepfake calls are on the rise, infrastructure-level intelligence is the only defensible position.
Nucleus is already delivering strong results in enterprise spam mitigation — and the market is growing at 21% annually with no signs of slowing.