Machine Vision Inspection Patent Landscape 2026
Machine Vision Inspection Patent Landscape in 2026
The machine vision inspection patent field spans 972 patent families and has reached a mature plateau, with annual volume easing from its 2021 peak while remaining well above pre-2019 levels. Activity is moderately concentrated among a diverse set of industrial, additive-manufacturing, and medical-device players, with the United States as the dominant filing jurisdiction.
Electro Scientific Industries leads a moderately concentrated field
Electro Scientific Industries (ESI) holds the top position among the hundred largest filers, followed by Divergent Technologies, Strong Force VCN Portfolio 2019, IPG Photonics, and General Electric. Together these five account for roughly one-fifth of the combined output of the top hundred filers, indicating moderate — not dominant — concentration.
The tier gap between the leader and the rest is relatively narrow: ESI’s count is roughly one-third larger than the second-ranked applicant’s, and the gap to the fifth-ranked player is modest, suggesting no single entity has locked up the space.
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 1 | Electro Scientific Industries Inc | 46 | |
| 2 | Divergent Technologies Inc | 34 | |
| 3 | Strong Force VCN Portfolio 2019 LLC | 31 | |
| 4 | IPG Photonics Corporation | 30 | |
| 5 | General Electric Company | 29 | |
| 6 | Medinol Ltd | 29 | |
| 7 | Align Technology Inc | 19 | |
| 8 | Olympus Corporation | 15 | |
| 9 | BWXT Advanced Technologies LLC | 15 | |
| 10 | Bellaseno GmbH | 14 |
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 11 | Renishaw PLC | 14 | |
| 12 | AECC Commercial Aircraft Engine Co Ltd | 14 | |
| 13 | IBM Corporation | 14 | |
| 14 | AECC Shanghai Commercial Aircraft Engine Manufacturing Co Ltd | 14 | |
| 15 | Huntington Ingalls Industries Inc | 13 | |
| 16 | Relativity Space Inc | 13 | |
| 17 | Autodesk Inc | 12 | |
| 18 | Orbotech Ltd | 12 | |
| 19 | Mitsubishi Heavy Industries Ltd | 12 | |
| 20 | Bystronic Laser AG | 12 |
The breadth of industries represented in the top ranks — laser processing, additive manufacturing, portfolio holding entities, photonics, and diversified industrials — reflects the cross-sectoral nature of machine vision inspection rather than a single incumbent’s dominance.
The most recent 18–24 months of filing data are subject to publication lag and will undercount actual activity; 2025–2026 figures should be treated as provisional. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Activity plateaued after a 2021 peak; additive manufacturing and welding dominate the technology mix
The filing trend and technology composition charts together show a field that surged between 2019 and 2021 and has since stabilised, concentrated heavily in process-embedded inspection for additive manufacturing and laser welding.
Annual filing trend
Annual filings climbed sharply from 2017 to a peak in 2021, then moderated through 2022–2025, consistent with a maturing technology area. The 2026 figure reflects only early-published applications and will rise substantially as prosecution proceeds; it should not be read as a decline.
↗ Hover for values · click a bar to ask EurekaTechnology composition
Additive manufacturing (B33Y) and welding/brazing (B23K) together account for the two largest branches by patent record count, with powder metallurgy (B22F) and plastics shaping (B29C) also prominent — confirming that machine vision inspection in this corpus is driven primarily by in-process quality monitoring in advanced manufacturing. Image processing (G06T), AI-based computing (G06N), and control systems (G05B) appear as secondary branches, signalling growing integration of software-side inspection intelligence.
↗ Hover for values · click a bar to ask EurekaHighly cited patent families surfaced by the query
Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.
Information Processing Apparatus, Defect Detection…
An information processing apparatus includes a defect detection area setting unit configured to set, based on information input from an input unit, an area inside a predetermined amount from a surface of a formed object manufactured by a three-dimensional powder bed fusion additive manufacturing (PBF-AM) apparatus as a defect detection area, and a defect… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Stent forming apparatus with stent deforming blades | 258 |
| 2 | Weld defect detection systems and methods for lase… | 187 |
| 3 | Welding system and welding method | 135 |
| 4 | Patient-adapted and improved articular implants, d… | 131 |
| 5 | Machine based three-dimensional (3D) object defect… | 128 |
| 6 | Sensing and Control of Additive Manufacturing Proc… | 128 |
| 7 | Systems, methods, kits, and apparatuses for edge-d… | 120 |
| 8 | Additive manufacturing apparatus and method | 111 |
Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.
What the competitive structure means for R&D investment
Four structural observations — maturity stage, concentration level, collaboration patterns, and geographic spread — define the investment risk and opportunity profile of this field.
Field has plateaued near its 2021 peak
Annual filings have plateaued near their peak, placing the field in a Maturity stage. Multi-year volume remains well above early-period levels, but new entrants should expect to work around a substantial existing prior-art base. Differentiation through software-intensive or application-specific claims is likely more productive than broad hardware claims.
Lifecycle: MaturityModerate concentration leaves room for challengers
The top five filers hold about 20% of the combined output of the hundred largest filers — moderate concentration by industry standards. No single assignee commands a blocking position across the full technology space, and the spread across industrial sectors means a focused entrant in one vertical faces a limited number of directly competing portfolios.
Top-5 share: 20%Co-filing activity is minimal; one documented pair identified
The only co-applicant relationship captured in the evidence is a single joint filing between General Electric and GE Avio, reflecting a parent-subsidiary pairing rather than an independent partnership. Broader collaborative filing between unrelated entities appears sparse in this corpus, which may indicate the field is primarily proprietary rather than consortium-driven.
Co-filings: limitedUS-centric with meaningful China and EPO coverage
The United States is the leading filing jurisdiction by a wide margin, followed by China and the European Patent Office. Japan, India, Germany, and Taiwan represent secondary markets. PCT filings indicate applicants are actively seeking international coverage. Gaps in Southeast Asia and Latin America suggest those markets remain under-protected for new entrants willing to file there.
Lead office: USGo beyond the landscape: Eureka’s TRIZ Solution agent breaks down an R&D problem and returns patented concept solutions, each with a technical approach and cited patent & literature evidence.
| Applicant | Collaborator | Co-filings |
|---|---|---|
| General Electric Company | GE Avio S.r.l. | 1 |
Co-filing pairs, ranked by the number of jointly-filed patent families.
ESI anchors laser processing; newer entrants concentrate in additive manufacturing and portfolio plays
The top two ranked applicants represent very different strategic postures: ESI is a legacy laser-processing specialist with a declining recent filing rate, while Divergent Technologies is an additive-manufacturing-native entrant building a younger portfolio.
Electro Scientific Industries
ESI leads with 46 patent families, concentrated in laser welding and processing (B23K 26) with secondary coverage in web and filament handling. However, its recent filing momentum shows a sharp decline of 96% versus the prior period, suggesting the portfolio was built largely in earlier cycles and new activity has nearly stopped. R&D teams should treat ESI’s existing patents as prior art to design around rather than a growing competitive threat.
families: 46Divergent Technologies
Divergent Technologies holds 34 patent families and its momentum data was not separately listed in the applicant momentum evidence, but its ranking as second overall reflects a significant portfolio in additive-manufacturing-adjacent inspection. Strong Force VCN Portfolio 2019 (31 families, new entrant momentum) and IPG Photonics (30 families, recent trend down 85%) round out the immediate challenger tier, with General Electric (29 families, new entrant momentum) focusing on additive manufacturing process monitoring across B33Y and B29C.
families: 34| Applicant | Recent (3 yrs) | Trend |
|---|---|---|
| Electro Scientific Industries Inc | 1 | ▼ -96% |
| General Electric Company | 13 | ▲ new entrant |
| Strong Force VCN Portfolio 2019 LLC | 30 | ▲ new entrant |
| Sigma Labs Inc | 7 | ▲ new entrant |
| Align Technology Inc | 11 | ▲ new entrant |
| IPG Photonics Corporation | 2 | ▼ -85% |
| BWXT Advanced Technologies LLC | 8 | ▲ new entrant |
AI-based inspection and dimensional metrology are under-served relative to their technical relevance
Several IPC branches appear at lower relative shares within this corpus despite clear technical adjacency to machine vision inspection; they warrant monitoring as potential entry points or collaboration targets.
G06N · AI-based computing models (3% share)
With only 111 patent records against a corpus of 972 families, AI-based inspection algorithms represent a sparse but technically central branch. Given that deep-learning defect detection is increasingly the performance-differentiating layer in vision inspection systems, this relatively low share suggests the field has not yet consolidated AI-native inspection IP. Entrants with strengths in neural-network-based anomaly detection or generative defect simulation could file here with limited direct competition from the dominant additive-manufacturing incumbents.
Search this in Eureka →G06T · Image data processing (4% share)
Image data processing and generation (G06T) accounts for only 4% of records despite being foundational to any vision-based inspection pipeline. The low share relative to hardware-heavy branches like B33Y and B23K suggests that image-processing IP is either filed under hardware umbrella claims or genuinely underdeveloped. For software-focused teams, this branch offers an entry path with fewer blocking patent families than the dominant manufacturing-process branches, particularly for 3D reconstruction and multi-spectral analysis applications.
Search this in Eureka →Leaders diverge sharply between laser-processing, additive-manufacturing, and portfolio-holding routes
Strength of each leader across the main technology routes.
| Player | B23K 26 · Welding, soldering & brazing | B33Y 50 · Additive manufacturing (3D printing) | B33Y 10 · Additive manufacturing (3D printing) | B29C 64 · Shaping of plastics | B22F 10 · Powder metallurgy |
|---|---|---|---|---|---|
| Sigma Labs Inc | Strong · 19 | Strong · 27 | Strong · 20 | Strong · 14 | Moderate · 12 |
| General Electric Company | Absent | Strong · 31 | Strong · 18 | Moderate · 15 | Moderate · 13 |
| Strong Force VCN Portfolio 2019 LLC | Absent | Strong · 31 | Strong · 16 | Strong · 23 | Absent |
| Electro Scientific Industries Inc | Strong · 47 | Absent | Absent | Absent | Absent |
| Renishaw PLC | Absent | Strong · 12 | Strong · 11 | Strong · 9 | Absent |
| Medinol Ltd | Strong · 29 | Absent | Absent | Absent | Absent |
| Bellaseno GmbH | Absent | Strong · 14 | Absent | Strong · 14 | Absent |
Frequently asked questions
The corpus covers 972 patent families. This is the total used for trend analysis, technology composition, and jurisdiction mapping.
Electro Scientific Industries (ESI) leads with 46 patent families among the top hundred filers, concentrated in laser welding and processing. However, its recent filing activity has declined sharply, and newer players such as Divergent Technologies (34 families) and Strong Force VCN Portfolio 2019 (31 families) are active more recently.
The field is in a Maturity stage. Annual filings peaked in 2021 and have plateaued since, though multi-year volume remains substantially above pre-2019 levels. New entrants face a significant existing prior-art base.
Additive manufacturing (B33Y) and welding/brazing (B23K) are the two largest branches by patent record count, reflecting the prevalence of in-process vision inspection in advanced manufacturing. Image data processing (G06T), AI computing (G06N), and control systems (G05B) appear as secondary but growing branches.
The United States leads by a wide margin, followed by China and the European Patent Office. Japan, India, Germany, and Taiwan represent significant secondary markets. PCT filings indicate active pursuit of international protection by leading applicants.
The two most notable under-served adjacent branches relative to their technical importance are AI-based computing models (G06N, 3% share of records) and image data processing and generation (G06T, 4% share). Both are foundational to modern vision inspection systems yet carry far fewer patent records than the dominant hardware-process branches, suggesting room for focused IP development.
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Disclaimer. This page is generated from PatSnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
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