![]() |
市場調査レポート
商品コード
1796113
視覚障害者向け支援技術の市場規模・シェア・成長分析 (デバイスの種類別、機能別、地域別):産業予測 (2025~2032年)Assistive Technologies for Visually Impaired Market Size, Share, and Growth Analysis, By Device Type (Screen Readers, Optical Character Recognition), By Functionality (Reading Assistance, Navigation Assistance), By Region -Industry Forecast 2025-2032. |
||||||
|
視覚障害者向け支援技術の市場規模・シェア・成長分析 (デバイスの種類別、機能別、地域別):産業予測 (2025~2032年) |
出版日: 2025年08月12日
発行: SkyQuest
ページ情報: 英文 180 Pages
納期: 3~5営業日
|
世界の視覚障害者向け支援技術の市場規模は、2023年に115億米ドルと評価され、予測期間(2025-2032年)のCAGRは4.62%で成長し、2024年には120億6,000万米ドル、2032年には173億米ドルに成長すると予測されています。
世界の視覚障害者向け支援技術市場は、センサー技術と人工知能(AI)の進歩に大きな影響を受けています。これらの技術革新により、企業は視覚データを分析し、ユーザーをリアルタイムで関与させ、より大きな自信と自立心を育むAI主導型ソリューションを生み出すことができます。ウェアラブルデバイスに機械学習を統合することで、環境ナビゲーションの応答時間が短縮されます。注目すべき動向は、モバイルアプリと専用ハードウェアの組み合わせで、ユーザーは読書モダリティと物体認識をシームレスに切り替えることができます。テクノロジー企業と非営利団体のコラボレーションにより、ユーザーからのフィードバックが強化され、教育や都市ナビゲーションなど、さまざまな文脈でパーソナライズされたソリューションにつながります。さらに、スマートグラスを含むAI対応ウェアラブルは、文脈に応じたガイダンスを提供し、直感的な支援を通じてユーザーの自律性とインタラクションを強化します。
Global Assistive Technologies for Visually Impaired Market size was valued at USD 11.5 Billion in 2023 poised to grow between USD 12.06 Billion in 2024 to USD 17.3 Billion by 2032, growing at a CAGR of 4.62% in the forecast period (2025-2032).
The global assistive technologies market for the visually impaired is significantly influenced by advancements in sensor technology and artificial intelligence (AI). These innovations enable companies to create AI-driven solutions that analyze visual data and engage users in real-time, fostering greater confidence and independence. The integration of machine learning within wearable devices reduces response times for environmental navigation. A notable trend is the combination of mobile apps with specialized hardware, enabling users to switch seamlessly between reading modalities and object recognition. Collaborations between technology firms and non-profits enhance user feedback, leading to personalized solutions across various contexts, such as education and urban navigation. Additionally, AI-enabled wearables, including smart glasses, provide contextual guidance, enhancing user autonomy and interaction through intuitive assistance.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Assistive Technologies for Visually Impaired market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Assistive Technologies for Visually Impaired Market Segments Analysis
The global assistive technologies for visually impaired market is segmented based on device type, functionality, end users, and region. In terms of device type, the market is divided into screen readers, optical character recognition, refreshable braille displays, and smart glasses. Based on functionality, the market is grouped into reading assistance, navigation assistance, visual recognition, and educational assistance. Based on end users, the market is divided into individuals, educational institutions, healthcare providers, and government organizations. Based on region, the market is segmented into North America, Europe, Asia-Pacific, Latin America and the Middle East and Africa.
Driver of the Global Assistive Technologies for Visually Impaired Market
One of the key market drivers for the Global Assistive Technologies for Visually Impaired Market is the increasing prevalence of vision-related disabilities and an aging population. As the global demographic shifts towards older age groups, the incidence of age-related visual impairments rises, driving demand for assistive devices and technologies. Additionally, growing awareness and advocacy for inclusivity and accessibility in various sectors, including education and employment, have heightened the need for innovative solutions to support visually impaired individuals. This surge in awareness, combined with advancements in technology, is fostering the development and adoption of effective assistive solutions, enhancing the quality of life for users.
Restraints in the Global Assistive Technologies for Visually Impaired Market
One key market restraint for the global assistive technologies for visually impaired market is the high cost associated with advanced devices and technologies. Many innovative solutions, such as cutting-edge screen readers, smart glasses, and tactile devices, can be prohibitively expensive, limiting accessibility for individuals with visual impairments. This financial barrier not only restrains adoption rates but also hinders the ability of organizations and institutions to provide adequate resources and support. Additionally, the lack of awareness and training regarding these technologies can further exacerbate the issue, creating a gap in effective utilization and integration into daily life for visually impaired individuals.
Market Trends of the Global Assistive Technologies for Visually Impaired Market
The Global Assistive Technologies for Visually Impaired market is witnessing a significant trend driven by the integration of AI and edge computing in assistive devices. This convergence enhances user experience by enabling real-time decision-making directly on the device, significantly reducing latency for applications like smart glasses and OCR readers. With the capability to process visual data such as object detection and facial recognition in milliseconds, these advancements offer users increased autonomy and privacy. The emphasis on edge-based models is facilitating greater efficiency and thereby promoting wider adoption, especially in regions with unreliable internet connectivity, marking a transformational shift in assistive technology solutions.