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Optometry Software Market in North America to Grow by USD 644.6 Million (2025-2029), Driven by Rising Ophthalmic Disease Prevalence, AI Impact on Trends – Technavio

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NEW YORK, Jan. 22, 2025 /PRNewswire/ — Report with market evolution powered by AI – The optometry software market in north america size is estimated to grow by USD 644.6 million from 2025-2029, according to Technavio. The market is estimated to grow at a CAGR of  7%  during the forecast period. Increasing prevalence of ophthalmic diseases is driving market growth, with a trend towards growing ophthalmology market. However, rising medical data privacy concerns poses a challenge. Key market players include Barti, Compulink Healthcare Solutions, Doctorsoft Corp., EssilorLuxottica, EverCommerce Inc., Eye Care Leaders, First Insight Corp., Health Innovation Technologies Inc., iTRUST.IO LLC, LiquidEHR Inc., MacPractice, Nextech Systems LLC, Optical POS Software LLC, Optometric Services Inc., Solutionreach Inc., SOTH Inc., Vision Service Plan, Weave Communications, Inc., WINK Technologies Inc., and WRS Health.

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Optometry Software Market In North America Scope

Report Coverage

Details

Base year

2024

Historic period

2019-2023

Forecast period

2025-2029

Growth momentum & CAGR

Accelerate at a CAGR of 7%

Market growth 2025-2029

USD 644.6 million

Market structure

Fragmented

YoY growth 2022-2023 (%)

6.5

Regional analysis

North America

Performing market contribution

North America at 100%

Key countries

US, Canada, and Mexico

Key companies profiled

Barti, Compulink Healthcare Solutions, Doctorsoft Corp., EssilorLuxottica, EverCommerce Inc., Eye Care Leaders, First Insight Corp., Health Innovation Technologies Inc., iTRUST.IO LLC, LiquidEHR Inc., MacPractice, Nextech Systems LLC, Optical POS Software LLC, Optometric Services Inc., Solutionreach Inc., SOTH Inc., Vision Service Plan, Weave Communications, Inc., WINK Technologies Inc., and WRS Health

Market Driver

The North American optometry software market is experiencing significant growth due to the increasing prevalence of chronic ophthalmological conditions like glaucoma, dry eye, cataracts, and refractive errors. With an aging population, there is a greater need for electronic health records (EHR) and cloud-based solutions to manage patient data and records in optometry clinics. Telehealth and telemedicine services are also on the rise, allowing optometrists to provide remote patient care. AI-based software is being adopted for IOP measurement and diagnosis of conditions like retinal detachment and uveitis. EHR software vendors like Eyefinity, Crystal PM, Compulink, Practice Mate, MaximEyes, EyeMD, and others are expanding their offerings through expansions, joint ventures, and acquisitions. Hospitals, clinics, and specialist centers are also adopting cloud-based EMRs for managing health records data. Mobile applications are becoming essential tools for managing prescription history and astigmatism. Overall, the market is trending towards advanced technology and remote patient care. 

The North American optometry software market has experienced significant expansion over the past decade. This growth can be attributed to the increasing prevalence of eye diseases and technological innovations in ophthalmology. Manufacturers are investing heavily in research and development to create advanced treatments, driving market growth. Moreover, escalating medical expenses, increasing healthcare expenditures, and the demand for more precise therapies are additional factors fueling market expansion. Consequently, the expanding ophthalmology market will boost the need for software solutions to manage patient treatment plans, prescription records for medicines, glasses, contact lenses, and related information. 

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Market Challenges

The North American optometry software market is experiencing significant growth due to increasing chronic ophthalmological conditions like glaucoma, dry eye, cataracts, and refractive errors. An aging population and the rise of electronic health records (EHR) and cloud-based solutions are key drivers. Optometrists require software for managing patient data and records, IOP measurement, prescription history, and telehealth services. Companies like Eyefinity, Crystal PM, Compulink, Practice Mate, MaximEyes, EyeMD, and others offer optometry-specific software. Expansion strategies include expansions, joint ventures, and acquisitions. Ophthalmologists also use EHR software for managing retinal detachment, uveitis, astigmatism, and other eye conditions. Cloud-based EMRs are popular for hospitals, clinics, and specialist centers, enabling remote patient care and AI-based diagnosis. Mobile applications offer convenience and accessibility. Inpatient and ambulatory EHRs are crucial for comprehensive eye care.The optometry software market in North America is witnessing significant growth due to the adoption of advanced technologies for managing and analyzing medical data. This includes electronic health records, telehealth, and artificial intelligence. However, with the increasing use of these technologies comes the concern for data privacy. Medical records, including those of optometry patients, are protected by various privacy acts such as HIPAA in the US. It is crucial that personal data is kept confidential and only disclosed with proper authorization and permission. Despite these regulations, the use of optometry software solutions in ophthalmology continues to expand, necessitating ongoing efforts to ensure data security and privacy.

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Segment Overview 

This optometry software market in North America report extensively covers market segmentation by  

Type 1.1 Cloud-based1.2 Web-basedEnd-user 2.1 Hospitals2.2 Nursing homes2.3 OthersGeography 3.1 North America

1.1 Cloud-based-  Cloud-based optometry software solutions are gaining popularity among eyecare organizations due to their cost-effective and economical deployment model. The benefits of cloud-based deployment include quick deployment, improved flexibility and scalability, real-time data visibility, customization capabilities, and seamless integration with other eyecare software solutions. Small and medium-scale eyecare organizations are particularly attracted to cloud-based solutions due to their scalable networks and cost savings. Innovations in data security are also driving the adoption of cloud-based solutions by large-scale eyecare enterprises, which can store critical data on-premises and infrequently used data on a public cloud server. The market for cloud-based optometry software in North America is expected to grow at a higher compound annual growth rate (CAGR) than the on-premises deployment segment during the forecast period. This growth can be attributed to the cost savings, scalability, and other advantages offered by cloud-based solutions.

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Research Analysis

The optometry software market in North America is experiencing significant growth due to the increasing prevalence of chronic ophthalmological conditions such as glaucoma, dry eye, and cataracts in the aging population. Electronic health records (EHR) and cloud-based solutions are becoming increasingly popular in optometry clinics, allowing optometrists to manage patient data and records more efficiently. AI-based software is also gaining traction in the market, offering advanced diagnostic capabilities for refractive errors and other eye conditions. Telehealth and telemedicine services are becoming essential tools for optometrists, enabling remote patient consultations and follow-ups. Mobile applications are also becoming commonplace, allowing patients to manage their appointments, prescriptions, and eye health information on the go. Some of the popular optometry software solutions include Eyefinity, Crystal PM, Compulink, and Maxim Eyes, among others. Cloud-based EMR systems like Inpatient EHR, Ambulatory EHR, and Revolution EHR are also being adopted by hospitals, clinics, specialist centers, and optometry practices to streamline their operations and improve patient care. Health records data is being shared securely and seamlessly between various healthcare providers, ensuring accurate and timely diagnosis and treatment.

Market Research Overview

The optometry software market in North America is experiencing significant growth due to the increasing prevalence of chronic ophthalmological conditions such as glaucoma, dry eye, cataracts, and refractive errors in the aging population. Electronic health records (EHR) and cloud-based solutions are becoming increasingly popular, enabling optometrists to manage patient data and records more efficiently. AI-based software and mobile applications are also gaining traction, offering remote patient monitoring and telehealth services. Key areas of focus include IOP measurement, prescription history, and retinal detachment detection. Optometry clinics, hospitals, specialist centers, and ambulatory EHRs are adopting cloud-based EMRs to streamline operations and improve patient care. Expansions, joint ventures, and acquisitions are common expansion strategies among key players in the market. Ophthalmologists and optometrists are also leveraging EHR software to manage patient data and provide telemedicine services for conditions like uveitis and astigmatism. Overall, the market is expected to continue growing as technology advances and the demand for efficient, patient-centered care increases.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

TypeCloud-basedWeb-basedEnd-userHospitalsNursing HomesOthersGeographyNorth America

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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BinBase Expands 2026 BIN Dataset with Instant Payout Intelligence for iGaming, Gambling, and Cross-Border Transfers

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July 24, 2026

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BinBase updates its 2026 dataset with specialized Fast Funds, Visa Direct, and Mastercard MoneySend indicators to help iGaming operators and payout platforms execute seamless, instant card disbursements.

MIAMI, July 23, 2026 /PRNewswire-PRWeb/ — BinBase, a global provider of payment routing intelligence and card issuing data, has introduced specialized instant payout indicators as part of its upgraded 2026 BIN Database. Tailored for iGaming operators, online gambling platforms, crypto-to-fiat ramps, and payout aggregators, the updated dataset helps platform engineers streamline real-time card disbursements and Push-to-Card (P2C) transactions.

In high-velocity sectors such as online betting and gaming, instantaneous player payouts are a primary driver of customer retention. However, executing Push-to-Card transactions through protocols like Visa Direct and Mastercard MoneySend requires knowing whether the receiving card issuer supports Fast Funds for specific merchant category codes (MCCs). Attempting instant payouts on non-eligible cards leads to declined transactions, elevated processing fees, and poor user experiences.

The 2026 BinBase release solves this operational bottleneck by delivering dedicated attributes for real-time fund disbursements:

Fast Funds Eligibility: Granular indicators identifying domestic and cross-border Fast Funds support across global Visa and Mastercard ranges.Online Gambling Fast Funds (OG FF): Dedicated flags specifically identifying card ranges authorized to receive real-time gambling and betting payouts.Mastercard MoneySend & Visa Direct Indicators: Precise protocol compatibility markers (MS Ind & MT Ind) ensuring push transactions are routed only to eligible recipient cards.Direct Debit & Pull-Funds Support: Indicators for recurring collections and account-funding transactions.

“Player payouts in iGaming cannot wait for standard 2-to-3-day ACH settlements,” said a spokesperson for Damiko Inc. “By embedding our Fast Funds and Gambling FF flags into their payment engines, operators can instantly validate recipient cards before initiating a transfer, guaranteeing high success rates and instant liquidity for their users.”

Fintech engineers and payout architects can examine the full 29-field database schema and access a free 2026 sample dataset on GitHub.

To explore commercial licensing, bulk database downloads, or custom data feeds, visit BinBase at https://binbase.com.

About Damiko Inc

Damiko Inc is a US-based fintech data provider specializing in card issuer analytics, payment routing data, and global BIN database solutions. Operating through its flagship product, BinBase.com, the company supplies high-precision transaction intelligence to help merchants and payment facilitators worldwide optimize approval rates and mitigate processing fees.

Media Contact
Fedor Lavrikoff, BinBase, 1 7866133334, sales@binbase.com, www.binbase.com 

View original content:https://www.prweb.com/releases/binbase-expands-2026-bin-dataset-with-instant-payout-intelligence-for-igaming-gambling-and-cross-border-transfers-302829344.html

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Walnut Coding’s Young Coders Serve as ‘Instructors’ at Huawei Cloud Developer Training Camp

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July 24, 2026

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Ages 8 and 15, students showcase AI-era project-building skills from concept to working application

BEIJING, July 23, 2026 /PRNewswire/ — Walnut Coding (the “Company”), a leading online platform for youth coding education, said two of its students – ages 8 and 15 – have joined the “instructor” lineup at Huawei Cloud Developer Training Camp, making them among the youngest “instructors” in the program’s history. The Company cites the pair as a prime example of how young learners can combine coding fundamentals with AI tools to turn ideas into working applications.

The two students, Bolin Du, 8, and Peiqi Gao, 15, built working applications using Huawei Cloud CodeArts, an AI coding assistant, then presented the projects to the training camp themselves – walking the audience through their design choices, technical builds, and debugging process.

The move lands at a moment when AI coding tools are forcing a rethink across the education sector. Tools that can generate functioning code from a plain-language prompt have undercut the traditional argument for teaching children to program – that they need the skill to build things themselves. Walnut Coding’s answer is that the more valuable skill now is judgment – knowing what problem to solve, breaking it into parts, and determining whether an AI’s output actually works.

Gao built a travel-planning application that generates routes, itineraries, and recommendations based on user input, handling the project end to end, from requirements and design through coding and debugging. Du, the younger of the two, built an interactive calendar application, using HTML for page structure, CSS for visual design, and JavaScript for interactive features. Both students then took on an instructor’s role at the camp, presenting their project goals and technical implementation to the audience – a step Walnut Coding says separated the work from a typical classroom assignment.

These were not classroom exercises but working projects, built and presented inside a professional developer-training environment. The experience demanded more from both students than simply producing something functional – they needed to articulate their reasoning, defend technical choices, and refine the final result under scrutiny. Their participation signals a broader shift underway in what youth coding education can deliver.

AI is making code generation easier, but it is also redrawing which skills actually matter. A student who relies only on one-click generation may get a rough prototype quickly, but still struggle to spot logical flaws, judge whether the output is reliable, or turn an abstract idea into a product that actually works. Students with programming foundations, by contrast, are better positioned to define requirements, evaluate what the AI produces, correct its errors, and treat the technology as a tool rather than a shortcut to lean on.

“AI can help children generate code faster, but it cannot decide for them what problem they should solve, nor can it make the final judgment about whether the result is truly effective,” said Pengxuan Zeng, founder and CEO of Walnut Coding. “What these two students demonstrated is not just coding technique, but the ability to define needs, break down tasks, verify outcomes, and turn an idea into a working product. That is why we believe young people still need to learn programming in the AI era.”

Walnut Coding structures its courses around that thesis, pairing student-led project work with teaching-assistant guidance and AI-assisted support. According to the Company, this data is continuously fed back into its systems to refine the personalization of AI-assisted feedback — a closed-loop process linking teaching, practice, feedback, and curriculum development.

The Company frames the payoffs less around producing professional software engineers than around a broader form of literacy. As AI continues to reshape how tasks get done, the ability to understand the technology, structure problems clearly and collaborate effectively with intelligent tools may prove one of the most durable skills a young learner can develop.

Walnut Coding says it plans to keep expanding opportunities for students to build practical projects, partner with industry technology platforms such as Huawei Cloud, and develop the core capabilities needed to build with technology in the AI era.

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MOREH Showcases High-Performance LLM Inference on AMD GPUs at AMD Advancing AI 2026

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July 24, 2026

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SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Moreh, an AI infrastructure software company, led by CEO Gangwon Jo, participated in AMD Advancing AI 2026, AMD’s flagship annual AI event held in San Francisco on July 22–23 (local time), where it demonstrated its distributed inference solution, the MoAI Inference Framework, running on AMD GPUs.

At the event, Moreh presented a live demonstration of the GLM-5.1 large language model (LLM) powered by the MoAI Inference Framework on a system equipped with 32 AMD Instinct™ MI300X GPUs across four nodes. Visitors experienced the chatbot firsthand, evaluating its response speed and service quality while observing performance across a range of real-world use cases.

Unlike conventional demonstrations that simply run an AI model, Moreh’s showcase displayed key inference service metrics in real time, including GPU utilization, Tokens Per Second (TPS), Time To First Token (TTFT), and Time Per Output Token (TPOT). This enabled attendees to directly verify both inference performance and GPU resource efficiency in a production-like service environment.

Global AI industry leaders and enterprise customers attending the event expressed strong interest in the system’s fast response times and stable performance. In particular, the live deployment of the computationally demanding GLM-5.1 model on AMD GPUs at production-grade service levels received positive feedback from visitors.

Moreh’s MoAI Inference Framework is widely recognized as the world’s first commercially deployed distributed inference solution built for the AMD ecosystem. Its distributed inference and heterogeneous computing technologies are designed to dramatically reduce AI service costs, enabling broader adoption of AI worldwide. The technology addresses one of the industry’s biggest challenges-the rapidly rising infrastructure and service costs caused by increasingly larger AI models-by delivering a more efficient inference infrastructure.

Moreh CEO Gangwon Jo stated, “This event provided an opportunity for global customers to verify firsthand that top-tier inference performance can be achieved on AMD GPU environments,” and added “We will continue advancing our AI infrastructure software so enterprises can operate AI services as efficiently as possible, regardless of the underlying GPU platform.”

Moreh develops its own AI infrastructure engine and has expanded its end-to-end AI capabilities through its foundation LLM subsidiary, Motif Technologies, covering both AI infrastructure and foundation models. The company is also strengthening its presence in the global AI market through strategic partnerships with leading technology companies, including AMD and Tenstorrent.

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