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市场调查报告书
商品编码
1904972

全球边缘人工智慧软体市场评估：按产品、技术、资料模式和地区划分，机会与预测（2018-2032 年）

Global Edge AI Software Market Assessment, By Offerings, By Technology, By Data Modality, By Region, Opportunities and Forecast, 2018-2032F
出版日期: | 出版商: Markets & Data | 英文 230 Pages | 商品交期: 3-5个工作天内

价格

预计边缘人工智慧软体市场将以 20.45% 的复合年增长率成长，从 2024 年的 25.4 亿美元成长到 2032 年的 112.5 亿美元。这主要得益于企业对更快速、更可靠、更具情境感知能力的智慧的需求不断增长，而这些智慧必须更接近资料产生点。市场扩张的关键驱动因素之一是工业、企业和消费环境中互联设备的快速普及。感测器、摄影机、车辆和嵌入式系统会产生大量数据，使得持续向集中式云端基础设施传输数据变得不切实际，从而推动了对本地人工智慧处理的需求。

对即时决策日益增长的需求也是推动这项发展的关键因素。诸如自主系统、工业自动化、预测性维护、视讯分析和智慧监控等应用需要超低延迟响应，而基于云端的处理无法始终如一地满足这一需求。边缘人工智慧软体能够实现即时推理和行动，从而增强设备在效率和安全至关重要的应用场景中的能力。

先进的边缘硬体与成熟的人工智慧平台和机器学习框架相结合，显着提升了边缘性能，同时降低了部署复杂性。此外，5G 网路的扩展和企业持续推进的数位转型，进一步强化了分散式智慧的商业价值，使边缘人工智慧软体成为现代智慧系统的基础层。

例如，Arm 在 2025 年 3 月的 Embedded World 大会上发布了一款全新的边缘人工智慧平台，该平台可以直接在边缘设备上运行大规模模型，这印证了业界对物联网和智慧型系统中设备内机器学习和电脑视觉应用的持续投入。

目录

第一章：专案范围与定义

第二章：研究方法

第三章：摘要整理

第四章：客户之声

  • 受访者人口统计资料
  • 品牌认知度
  • 购买决策因素
  • 售后挑战

第五章 全球边缘人工智慧软体市场展望（2018-2032）

  • 市场规模分析与预测
    • 按价值划分
  • 市占率分析与预测
    • 依产品/服务划分
      • 依平台划分
      • 框架和工具包
    • 依技术分类
      • 生成式人工智慧
      • 机器学习
      • 自然语言处理
      • 电脑视觉
    • 依资料模态分类
      • 空间数据
      • 时间序列数据
      • 视觉数据
      • 多模态数据
      • 文字数据
    • 依地区分类
      • 北美
      • 欧洲
      • 亚太地区
      • 南美
      • 中东和非洲
    • 公司市占率分析
  • 2024 年市场地图分析
    • 依产品/服务分类
    • 依技术分类
    • 依资料模态分类
    • 依地区分类

第六章 北美边缘人工智慧软体市场展望（2018-2032）

  • 市场规模分析与预测
    • 按价值划分
  • 市占率分析与预测
    • 依产品/服务划分
      • 依平台划分
      • 框架与工具包划分
    • 依技术划分
      • 生成式人工智慧
      • 机器学习
      • 自然语言处理
      • 电脑视觉
    • 依资料模态划分
      • 空间数据
      • 时间序列数据
      • 视觉数据
      • 多模态数据
      • 文字数据
    • 依国家划分
      • 美国
      • 加拿大
      • 墨西哥
  • 市场评估国家/地区
    • 美国边缘人工智慧软体市场展望（2018-2032）
      • 市场规模分析与预测
      • 市占率分析与预测

第七章 欧洲边缘人工智慧软体市场展望（2018-2032）

  • 德国
  • 法国
  • 义大利
  • 英国
  • 俄罗斯
  • 荷兰
  • 西班牙
  • 土耳其
  • 波兰

第八章 亚太地区边缘人工智慧软体市场展望（2018-2032）

  • 印度
  • 中国
  • 日本
  • 澳大利亚
  • 越南
  • 南非韩国
  • 印尼
  • 菲律宾

第九章：南美边缘人工智慧软体市场展望（2018-2032）

  • 巴西
  • 阿根廷

第十章：中东与非洲边缘人工智慧软体市场展望（2018-2032）

  • 沙乌地阿拉伯
  • 阿拉伯联合大公国
  • 南非

第十一章：波特五力分析

第十二章：PESTLE分析

第十三章：市场动态

  • 市场驱动因素
  • 市场挑战

章节第十四章：市场趋势与发展

第十五章：个案研究

第十六章：竞争格局

  • 前五大竞赛矩阵
  • 前五名SWOT分析
  • 十大主要参与者趋势
    • 微软公司
      • 公司详情
      • 关键管理人员
      • 主要产品和服务
      • 关键财务指标（已公布）
      • 主要市场趋势与地理扩张
      • 近期发展、联盟、合作、併购
    • IBM Corporation
    • Google LLC
    • Amazon Web Services, Inc.
    • Nutanix, Inc.
    • Hewlett Packard Enterprise Development LP
    • Cognex Corporation
    • Edgeimpulse, Inc.
    • Roboflow, Inc.
    • Striveworks

第十七章：策略建议

第十八章：关于我们和免责声明

Product Code: MX13924

Edge AI software market is projected to witness a CAGR of 20.45% during the forecast period 2025-2032, growing from USD 2.54 billion in 2024 to USD 11.25 billion in 2032, the market is showing strong growth as organizations, in their increasing demand, require a faster, more reliable, and context-aware intelligence that is closer to the data generation point. One of the primary drivers of market expansion is the rapid proliferation of connected devices across industrial, enterprise, and consumer environments. Sensors, cameras, vehicles, and embedded systems generate vast volumes of data, making continuous transmission to centralized cloud infrastructure impractical and driving demand for localized AI processing.

The growing need for real-time decision-making is also a key factor driving this development. Applications such as autonomous systems, industrial automation, predictive maintenance, video analytics, and intelligent surveillance require ultra-low latency responses that cloud-based processing cannot consistently deliver. With Edge AI software, it is possible to perform immediate inference and action; the device is supported in efficiency and safety-critical use cases.

The combination of advanced edge hardware with mature AI platforms and machine learning frameworks has reduced deployment complexity while significantly improving performance at the edge. In addition, the expansion of 5G networks and ongoing enterprise digital transformation initiatives are strengthening the business case for distributed intelligence, positioning edge AI software as a foundational layer of modern intelligent systems.

For instance, in March 2025, Arm unveiled a new edge AI platform at Embedded World, capable of running large models directly on edge devices, reinforcing the industry trend toward increased investment in on-device machine learning and computer vision applications across IoT and smart systems.

Increased Data Privacy, Security, and Regulatory Compliance Demand is Driving Market Expansion

As organizations increasingly process sensitive data at its point of generation, data privacy, security, and regulatory compliance have emerged as the primary drivers fueling demand for Global Edge AI software. Most edge applications, such as video surveillance, facial recognition, patient monitoring, industrial inspection, and connected mobility, process personal, operational, or otherwise confidential data that is subject to strict regulatory oversight. Transmitting this data to centralized cloud environments increases exposure to cybersecurity threats, cross-border data transfer restrictions, and potential regulatory non-compliance.

By no means is it necessary to move all the raw data between the public or private networks if one uses edge AI software. This is because such software enables local data processing and inference directly on devices or within near-edge infrastructure, minimizing reliance on centralized systems. This localized approach aligns with data protection and data localization regulations by ensuring region-specific compliance with requirements related to data storage, retention, and access control.

Moreover, through edge computing, enterprises are provided with abilities to pre-filter, anonymize, or aggregate information to transmit securely and in accordance with security and governance frameworks. At the same time, from an operational standpoint, the deployment of edge-based intelligence allows the company to significantly reduce the risk of being dependent on an uninterrupted network connection, thus cutting vast exposure to outages or cyber intrusions that target centralized systems.

Across industries, including healthcare, manufacturing, public infrastructure, and smart cities,organizations are increasingly adopting edge AI to balance the need for advanced analytics with robust data stewardship and governance.

Edge AI is gradually becoming a decisive tool in the hands of companies seeking secure, compliant, and trustworthy AI deployment in distributed environments, as the regulatory oversight on data usage is ramping up globally.

For instance, in February 2025, the State of New York prohibited the use of the AI application DeepSeek on government devices and networks, citing significant data privacy and foreign surveillance concerns. This action highlights how public sector organizations are establishing stricter data governance standards for AI adoption and reflects heightened vigilance in enforcing AI governance and risk management frameworks.

Proliferation of Advanced Edge Hardware and Connectivity Propels Market Growth

The growing number of advanced edge devices, along with high-performance networking, is a key factor that is pushing up the global market for Edge AI software. Historically, the Edge was viewed primarily as a remote data collection layer; however, it has now evolved into a network of powerful compute nodes equipped with dedicated AI accelerators, vision processors, and heterogeneous system-on-chips capable of executing complex machine learning workloads. The consequence of this shift is the expansion of the feasibility of embedding intelligence directly into devices such as industrial gateways, smart cameras, vehicles, robots, and edge servers. As edge hardware continues to advance, organizations increasingly require sophisticated software platforms, frameworks, and toolkits that enable the rapid deployment, optimization, and management of AI models across diverse and resource-constrained environments.

Edge AI software is instrumental in model compression, hardware abstraction, workload orchestration, and lifecycle management, which in turn allows for the same performance level to be maintained across different processor architectures and even under different operating conditions. In addition, advancements in connectivity technologies are significantly driving demand for such software. The deployment of 5G and private wireless networks enables high-bandwidth, low-latency, and highly reliable connectivity between edge devices and centralized systems. This shift supports distributed intelligence rather than cloud-dependent processing, allowing enterprises to perform local inference while maintaining centralized orchestration, monitoring, and model updates.

Overall, advancements in edge hardware and connectivity are redefining edge locations as intelligent endpoints capable of executing real-time AI workloads in a scalable, secure, and resilient manner. This is why edge AI software is becoming indispensable across sectors like manufacturing, automotive, telecommunications, and smart infrastructure.

For instance, the Qualcomm Snapdragon 8 Elite platform was awarded as edge AI processor of the year in August 2025 due to its significant improvements in performance and power efficiency, which resulted in the enablement of more complex on-device AI processing and thereby directly drove the adoption of edge AI software for applications such as vision analytics and real-time inference.

Visual Data is Leading the Edge AI Software Market Share

Visual data has become the main data mode for the Global Edge AI Software Market. This is mainly because it is widely generated at the edge and is directly applicable to real-time, decision-critical applications. The continuous generation of data from sources such as surveillance cameras, industrial inspection systems, in-vehicle sensors, medical imaging equipment, and retail monitoring systems has driven a substantial increase in image and video data volumes. Transmitting this raw visual data to centralized cloud platforms is bandwidth-intensive, costly, and often impractical, making edge-based processing a more efficient, scalable, and economically viable approach.

On top of that, the need for privacy and security are reasons why visual data predominates at the edge. On-site processing of video streams enables the filtering, anonymization, and analysis of sensitive visual data without transmitting identifiable information across networks, thereby supporting regulatory compliance and strengthening data governance. Organizations have been investing in edge AI software that can handle visual data efficiently due to the rise in edge hardware, which is increasingly being combined with vision processors and AI accelerators that are optimized for image and video inference.

For instance, at the October 2025 Embedded Vision Summit, industry participants showcased lightweight camera stacks and edge vision solutions designed for use cases such as object detection, tracking, and 3D depth imaging. These demonstrations underscored the critical role of image and video processing workloads in enabling practical, on-site edge AI deployments.

Asia-Pacific is Fastest Growing Region in the Global Edge AI Software Market

Asia-Pacific represents the fastest-growing region in the Global Edge AI Software Market, driven by large-scale digitization, rapid industrial expansion, and strong adoption of connected technologies across both public and private sectors. Countries such as China, Japan, South Korea, India, and several Southeast Asian nations are witnessing widespread deployment of IoT devices, smart manufacturing systems, intelligent transportation solutions, and urban digital infrastructure, collectively generating substantial volumes of edge-level data and accelerating demand for edge AI software.

Manufacturing is at the core of this expansion. Some of the world's largest manufacturing hubs are in the Asia-Pacific region, where edge AI software is increasingly being employed for visual inspection, predictive maintenance, robotics control, and real-time process optimization. These use cases necessitate on-site intelligence to comply with requirements of very low delay, high reliability, and continuous operation, thus creating a need for edge-based AI platforms and frameworks.

For instance, in August 2025, Malaysia launched MARS1000, its first locally designed edge AI processor, a landmark moment in the development of local edge hardware ecosystems that facilitate a wider edge AI software adoption.

Future Market Scenario (2025-2032F)

Expansion of Edge AI Software in Industrial Automation

Edge AI adoption in manufacturing and industrial automation is expected to accelerate, with software enabling real-time defect detection, predictive maintenance, and process optimization directly on production lines.

Enterprises will increasingly integrate AI platforms and toolkits with industrial IoT devices, reducing downtime, improving quality, and enhancing operational efficiency.

Regional Growth Dynamics

Asia-Pacific is anticipated to remain the fastest-growing region, driven by industrial modernization, smart city initiatives, and government-backed AI adoption programs.

North America will continue to dominate in terms of market share, supported by early adoption, technological maturity, and large-scale enterprise deployments.

Key Players Landscape and Outlook

The landscape of the global Edge AI Software market is shaped by rapid advancements in AI model optimization, increasing deployment of connected devices, and growing adoption across industrial, automotive, healthcare, and smart city applications. Leading players include AI platform providers, semiconductor and embedded systems companies, and specialized software developers that offer platforms, frameworks, and toolkits for machine learning, computer vision, natural language processing, and generative AI. These companies are focusing on improving model deployment efficiency, hardware acceleration, interoperability across heterogeneous edge environments, and real-time analytics capabilities to meet evolving operational and regulatory requirements.

The market outlook remains positive, supported by accelerating digital transformation initiatives, expansion of 5G and private wireless networks, and increasing demand for low-latency, secure, and privacy-compliant AI processing at the edge. Companies are also investing in regional edge infrastructure, software certification, and partnerships with IoT device manufacturers, automotive OEMs, and industrial automation providers to enhance market reach and deployment scalability.

For instance, in September 2025, Qualcomm announced the Snapdragon Ride platform's integration with BMW vehicles for real-time edge AI processing in autonomous driving systems, highlighting the company's technological leadership and ability to deliver certified, high-performance AI solutions for automotive and industrial applications globally.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customers

  • 4.1. Respondent Demographics
  • 4.2. Brand Awareness
  • 4.3. Factors Considered in Purchase Decisions
  • 4.4. Challenges Faced Post Purchase

5. Global Edge AI Software Market Outlook, 2018-2032F

  • 5.1. Market Size Analysis & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share Analysis & Forecast
    • 5.2.1. By Offerings
      • 5.2.1.1. Platform
      • 5.2.1.2. Frameworks & Toolkit
    • 5.2.2. By Technology
      • 5.2.2.1. Generative AI
      • 5.2.2.2. Machine Learning
      • 5.2.2.3. NLP
      • 5.2.2.4. Computer Vision
    • 5.2.3. By Data Modality
      • 5.2.3.1. Spatial Data
      • 5.2.3.2. Temporal Data
      • 5.2.3.3. Visual Data
      • 5.2.3.4. Multimodal Data
      • 5.2.3.5. Textual Data
    • 5.2.4. By Region
      • 5.2.4.1. North America
      • 5.2.4.2. Europe
      • 5.2.4.3. Asia-Pacific
      • 5.2.4.4. South America
      • 5.2.4.5. Middle East and Africa
    • 5.2.5. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2024)
  • 5.3. Market Map Analysis, 2024
    • 5.3.1. By Offerings
    • 5.3.2. By Technology
    • 5.3.3. By Data Modality
    • 5.3.4. By Region

6. North America Edge AI Software Market Outlook, 2018-2032F

  • 6.1. Market Size Analysis & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share Analysis & Forecast
    • 6.2.1. By Offerings
      • 6.2.1.1. Platform
      • 6.2.1.2. Frameworks & Toolkit
    • 6.2.2. By Technology
      • 6.2.2.1. Generative AI
      • 6.2.2.2. Machine Learning
      • 6.2.2.3. NLP
      • 6.2.2.4. Computer Vision
    • 6.2.3. By Data Modality
      • 6.2.3.1. Spatial Data
      • 6.2.3.2. Temporal Data
      • 6.2.3.3. Visual Data
      • 6.2.3.4. Multimodal Data
      • 6.2.3.5. Textual Data
    • 6.2.4. By Country
      • 6.2.4.1. United States
      • 6.2.4.2. Canada
      • 6.2.4.3. Mexico
  • 6.3. Country Market Assessment
    • 6.3.1. United States Edge AI Software Market Outlook, 2018-2032F
      • 6.3.1.1. Market Size Analysis & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share Analysis & Forecast
        • 6.3.1.2.1. By Offerings
          • 6.3.1.2.1.1. Platform
          • 6.3.1.2.1.2. Frameworks & Toolkit
        • 6.3.1.2.2. By Technology
          • 6.3.1.2.2.1. Generative AI
          • 6.3.1.2.2.2. Machine Learning
          • 6.3.1.2.2.3. NLP
          • 6.3.1.2.2.4. Computer Vision
        • 6.3.1.2.3. By Data Modality
          • 6.3.1.2.3.1. Spatial Data
          • 6.3.1.2.3.2. Temporal Data
          • 6.3.1.2.3.3. Visual Data
          • 6.3.1.2.3.4. Multimodal Data
          • 6.3.1.2.3.5. Textual Data

All segments will be provided for all regions and countries covered

7. Europe Edge AI Software Market Outlook, 2018-2032F

  • 7.1. Germany
  • 7.2. France
  • 7.3. Italy
  • 7.4. United Kingdom
  • 7.5. Russia
  • 7.6. Netherlands
  • 7.7. Spain
  • 7.8. Turkey
  • 7.9. Poland

8. Asia-Pacific Edge AI Software Market Outlook, 2018-2032F

  • 8.1. India
  • 8.2. China
  • 8.3. Japan
  • 8.4. Australia
  • 8.5. Vietnam
  • 8.6. South Korea
  • 8.7. Indonesia
  • 8.8. Philippines

9. South America Edge AI Software Market Outlook, 2018-2032F

  • 9.1. Brazil
  • 9.2. Argentina

10. Middle East and Africa Edge AI Software Market Outlook, 2018-2032F

  • 10.1. Saudi Arabia
  • 10.2. UAE
  • 10.3. South Africa

11. Porter's Five Forces Analysis

12. PESTLE Analysis

13. Market Dynamics

  • 13.1. Market Drivers
  • 13.2. Market Challenges

14. Market Trends and Developments

15. Case Studies

16. Competitive Landscape

  • 16.1. Competition Matrix of Top 5 Market Leaders
  • 16.2. SWOT Analysis for Top 5 Players
  • 16.3. Key Players Landscape for Top 10 Market Players
    • 16.3.1. Microsoft Corporation
      • 16.3.1.1. Company Details
      • 16.3.1.2. Key Management Personnel
      • 16.3.1.3. Key Products/Services Offered
      • 16.3.1.4. Key Financials (As Reported)
      • 16.3.1.5. Key Market Focus and Geographical Presence
      • 16.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisitions
    • 16.3.2. IBM Corporation
    • 16.3.3. Google LLC
    • 16.3.4. Amazon Web Services, Inc.
    • 16.3.5. Nutanix, Inc.
    • 16.3.6. Hewlett Packard Enterprise Development LP
    • 16.3.7. Cognex Corporation
    • 16.3.8. Edgeimpulse, Inc.
    • 16.3.9. Roboflow, Inc.
    • 16.3.10. Striveworks

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

17. Strategic Recommendations

18. About Us and Disclaimer

List of Tables

  • Table 1. Competition Matrix of Top 5 Market Leaders
  • Table 2. Mergers & Acquisitions / Joint Ventures (If Applicable)
  • Table 3. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

  • Figure 1. Global Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 2. Global Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 3. Global Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 4. Global Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 5. Global Edge AI Software Market Share (%), By Region, 2018-2032F
  • Figure 6. North America Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 7. North America Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 8. North America Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 9. North America Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 10. North America Edge AI Software Market Share (%), By Country, 2018-2032F
  • Figure 11. United States Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 12. United States Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 13. United States Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 14. United States Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 15. Canada Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 16. Canada Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 17. Canada Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 18. Canada Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 19. Mexico Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 20. Mexico Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 21. Mexico Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 22. Mexico Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 23. Europe Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 24. Europe Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 25. Europe Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 26. Europe Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 27. Europe Edge AI Software Market Share (%), By Country, 2018-2032F
  • Figure 28. Germany Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 29. Germany Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 30. Germany Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 31. Germany Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 32. France Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 33. France Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 34. France Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 35. France Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 36. Italy Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 37. Italy Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 38. Italy Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 39. Italy Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 40. United Kingdom Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 41. United Kingdom Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 42. United Kingdom Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 43. United Kingdom Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 44. Russia Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 45. Russia Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 46. Russia Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 47. Russia Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 48. Netherlands Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 49. Netherlands Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 50. Netherlands Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 51. Netherlands Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 52. Spain Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 53. Spain Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 54. Spain Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 55. Spain Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 56. Turkey Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 57. Turkey Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 58. Turkey Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 59. Turkey Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 60. Poland Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 61. Poland Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 62. Poland Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 63. Poland Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 64. South America Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 65. South America Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 66. South America Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 67. South America Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 68. South America Edge AI Software Market Share (%), By Country, 2018-2032F
  • Figure 69. Brazil Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 70. Brazil Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 71. Brazil Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 72. Brazil Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 73. Argentina Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 74. Argentina Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 75. Argentina Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 76. Argentina Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 77. Asia-Pacific Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 78. Asia-Pacific Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 79. Asia-Pacific Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 80. Asia-Pacific Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 81. Asia-Pacific Edge AI Software Market Share (%), By Country, 2018-2032F
  • Figure 82. India Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 83. India Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 84. India Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 85. India Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 86. China Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 87. China Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 88. China Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 89. China Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 90. Japan Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 91. Japan Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 92. Japan Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 93. Japan Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 94. Australia Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 95. Australia Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 96. Australia Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 97. Australia Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 98. Vietnam Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 99. Vietnam Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 100. Vietnam Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 101. Vietnam Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 102. South Korea Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 103. South Korea Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 104. South Korea Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 105. South Korea Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 106. Indonesia Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 107. Indonesia Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 108. Indonesia Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 109. Indonesia Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 110. Philippines Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 111. Philippines Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 112. Philippines Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 113. Philippines Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 114. Middle East & Africa Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 115. Middle East & Africa Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 116. Middle East & Africa Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 117. Middle East & Africa Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 118. Middle East & Africa Edge AI Software Market Share (%), By Country, 2018-2032F
  • Figure 119. Saudi Arabia Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 120. Saudi Arabia Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 121. Saudi Arabia Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 122. Saudi Arabia Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 123. UAE Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 124. UAE Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 125. UAE Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 126. UAE Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 127. South Africa Edge AI Software Market, By Value, In USD Billion, 2018-2032F
  • Figure 128. South Africa Edge AI Software Market Share (%), By Offerings, 2018-2032F
  • Figure 129. South Africa Edge AI Software Market Share (%), By Technology, 2018-2032F
  • Figure 130. South Africa Edge AI Software Market Share (%), By Data Modality, 2018-2032F
  • Figure 131. By Offerings Map-Market Size (USD Billion) & Growth Rate (%), 2024
  • Figure 132. By Technology Map-Market Size (USD Billion) & Growth Rate (%), 2024
  • Figure 133. By Data Modality Map-Market Size (USD Billion) & Growth Rate (%), 2024
  • Figure 134. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2024