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市场调查报告书
商品编码
1363968

全球嵌入式人工智慧市场 2023-2030

Global Embedded AI Market 2023-2030
出版日期: | 出版商: Orion Market Research | 英文 130 Pages | 商品交期: 2-3个工作天内

价格

预计在预测期内（2023-2030 年），全球嵌入式人工智慧市场将以 9.6% 的复合年增长率成长。嵌入式人工智慧是人工智慧功能的通用框架系统。它内建于网路设备中，为AI演算法提供通用的模型管理、资料撷取和资料预处理功能。终端用户产业对嵌入式AI不断增长的需求是推动全球嵌入式AI市场成长的关键因素。这是因为嵌入式人工智慧的采用增加可能会改善医疗保健领域的医疗诊断和治疗。嵌入式人工智慧可以提高製造业的工厂自动化水准。此外，嵌入式人工智慧可以从根本上提高家庭自动化系统和智慧型穿戴装置的功能。为了满足最终用户行业不断增长的需求，主要参与者正在推出新产品。例如，2022 年 3 月，NVIDIA 公司推出了 Clara Holoscan MGX，这是一个供医疗设备行业在边缘开发和部署即时 AI 应用程式的平台，专门为满足所需的监管标准而设计。 Clara Holoscan MGX 医疗级平台采用 NVIDIA Orin 和 NVIDIA AI 软体堆迭，为嵌入式运算领导者所建置的系统提供支援。

细分市场前景

全球嵌入式人工智慧市场按产品、资料类型和垂直领域进行细分。根据所提供的产品，市场被细分为硬体、软体和服务。根据资料类型，市场分为数值资料、分类资料和影像视讯资料。此外，根据垂直产业，市场细分为 BFSI、医疗保健和生命科学、IT 和电信、汽车、媒体和娱乐、能源和电力、运输和物流、政府和国防、製造业等。在这些产品中，由于开发嵌入式人工智慧应用所需的专用软体工具和框架，预计软体细分市场将占据相当大的市场份额。

预计 BFSI 细分市场将在全球嵌入式人工智慧市场中占据相当大的份额

在垂直行业中，BFSI 细分市场预计将在全球嵌入式人工智慧市场中占据相当大的份额。此细分市场的成长归因于数位平台的影响力日益增强，成为升级多项业务营运的关键因素。人工智慧可以在 BFSI 中发挥主要作用，因为它提供先进的资料分析来打击诈欺交易并提高合规性。 BFSI 部门处理大量资料，管理它成为一项艰鉅的任务。人工智慧可以帮助在短时间内管理大量资料，并从中获得有价值的见解。此外，人工智慧可以帮助在几秒钟内发现反洗钱活动，BFSI部门可以利用人工智慧为更广泛的客户群提供更优质的服务。 2023 年 3 月，金融科技公司 Intellect Design Arena 推出了 eMACH.ai。该平台将为金融机构提供由亚马逊网路服务（AWS）支援的嵌入式人工智慧云端服务。随着 eMACH.ai 的推出，该公司设想银行业的未来将以生态系统为主导。这些发展进一步促进了细分市场的成长

区域展望

全球嵌入式人工智慧市场根据地理位置进一步细分，包括北美（美国和加拿大）、欧洲（英国、义大利、西班牙、德国、法国和欧洲其他地区）、亚太地区（印度、中国、日本） 、韩国和亚洲其他地区）以及世界其他地区（中东和非洲以及拉丁美洲）。其中，由于北美地区的存在，预计将在全球市场中占据显着份额拥有创新的人工智慧技术、强大的研发能力、不断增长的智慧边缘服务需求以及成熟的市场生态系统的公司。该区域市场的主要市场参与者包括Google、IBM、微软和亚马逊网路服务公司。

亚太地区全球嵌入式人工智慧市场预计将以显着的复合年增长率成长

在所有地区中，亚太地区预计在预测期内将以相当大的复合年增长率成长。区域成长归因于经济发展和技术进步。亚太地区人口不断增长，该地区目前正在经历巨大的扩张。由于亚洲技术进步速度快且对新想法持开放态度，许多企业利用该地区对技术的拥抱来发挥自己的优势。嵌入式贷款公司总部位于亚太地区，但该地区吸引了一些最先进的区域金融科技公司。

数位经济是亚太地区多样性明显的领域之一。即使有新加坡和香港等着名的金融科技中心，发展中国家也正稳步扩大其金融科技能力。因此，该地区的 BFSI 行业正在以一致的速度采用嵌入式人工智慧。透过利用嵌入式金融的前景，一些东南亚企业已经取得了成功。考虑到所有这些因素，亚太地区的市场将出现巨大的成长。

目录

第 1 章：报告摘要

  • 目前行业分析及成长潜力展望
  • 研究方法和工具
  • 市场区隔
    • 按细分
    • 按地区

第 2 章：市场概述与见解

  • 报告范围
  • 分析师见解和当前市场趋势
    • 主要发现
    • 建议
    • 结论

第 3 章：竞争格局

  • 主要公司分析
  • Google LLC
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • IBM Corp.
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • Microsoft Corp.
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • 关键策略分析

第 4 章：市场细分

  • 全球嵌入式人工智慧市场（按产品划分）
    • 硬体
    • 软体
    • 服务
  • 按资料类型分類的全球嵌入式人工智慧市场
    • 数值数据
    • 分类资料
    • 影像和视讯数据
  • 全球嵌入式人工智慧市场（按垂直领域）
    • BFSI
    • 医疗保健与生命科学
    • 资讯科技与电信
    • 汽车
    • 媒体与娱乐
    • 能源与电力
    • 运输与物流
    • 政府与国防
    • 製造业
    • 其他的

第 5 章：区域分析

  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 义大利
    • 西班牙
    • 法国
    • 欧洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 韩国
    • 亚太其他地区
  • 世界其他地区

第 6 章：公司简介

  • Advanced Micro Devices, Inc.
  • Au-Zone Technologies, Inc.
  • Code Time Technologies
  • EdgeImpulse Inc.
  • Eta Compute Inc.
  • Hewlett Packard Enterprise
  • Intel Corp
  • LUIS Technology GmbH
  • MediaTek Inc.
  • NeuroPace, Inc.
  • NVIDIA Corp
  • NXP Semiconductors N.V.
  • Octonion Systems LLP
  • Oracle Corp.
  • Qualcomm
  • Salesforce Inc
  • SenseTime Group Ltd.
  • SensiML Corp.
  • Shenzhen HiSilicon Semiconductor Co., Ltd.
  • Siemens AG
  • STMicroelectronics N.V.
  • Syntiant Corp.
  • VectorBlox Computing Inc.
Product Code: OMR2027674

Title: Global Embedded AI Market Size, Share & Trends Analysis Report by Offering (Hardware, Software, and Services), by Data Type (Numerical Data, Categorical Data, and Image & Video Data), and by Vertical (BFSI, Healthcare & Lifesciences, IT & Telecom, Automotive, Media & Entertainment, Energy & Power, Transportation & Logistics, Government & Defense, Manufacturing and Others),Forecast Period (2023-2030).

The global embedded AI market is anticipated to grow at a considerable CAGR of 9.6% during the forecast period (2023-2030). Embedded AI is a general-purpose framework system for AI functions. It is built into network devices and provides common model management, data obtaining, and data preprocessing functions for AI algorithms. The growing demand for embedded AI in end-user industries is a key factor driving the growth of the global embedded AI market. This is due to the fact that an increase in the adoption of Embedded AI can potentially improve medical diagnosis and treatment in the healthcare sector. Embedded AI can improve factory automation in the manufacturing industry. In addition, embedded AI can radically improve the capabilities of home automation systems and smart wearables. To meet the growing demand from end-user industry, key players are making new product launches. For instance, in March 2022, NVIDIA Corp. launched Clara Holoscan MGX, a platform for the medical device industry to develop and deploy real-time AI applications at the edge, specifically designed to meet required regulatory standards. Clara Holoscan MGX Medical-Grade Platform with NVIDIA Orin and NVIDIA AI Software Stack Powers Systems Built by Embedded-Computing Leaders.

Segmental Outlook

The global embedded AI market is segmented on the offering, data type, and verticals. Based on the offering, the market is sub-segmented into hardware, software, and services. Based on the data type, the market is sub-segmented into numerical data, categorical data, and image & video data. Further, on the basis of verticals, the market is sub-segmented into BFSI, healthcare & life sciences, IT and telecom, automotive, media & entertainment, energy & power, transportation & logistics, government & defense, manufacturing, and others. Among the offerings, the software sub-segment is anticipated to hold a considerable share of the market owing to the specialized software tools and frameworks required to develop embedded AI applications.

The BFSI Sub-Segment is Anticipated to Hold a Considerable Share of the Global Embedded AI Market

Among the verticals, the BFSI sub-segment is expected to hold a considerable share of the global Embedded AImarket. The segmental growth is attributed to the growing influence of digital platforms is acting as a key factor for upgrading several business operations. AI can play a prime role in BFSI as it offers advanced data analytics to combat fraudulent transactions and improve compliance. The BFSI sector deal with enormous data and it becomes a tough task to manage it. AI can aid in managing a huge volume of data within a short period to gain valuable insights from it. Moreover, AI can help to discover anti-money laundering activities in a few seconds, The BFSI sector can deliver much better-quality services to a wider customer base using AI. In March 2023, Fintech company Intellect Design Arena launched eMACH.ai. The platform will provide cloud services with embedded artificial intelligence, powered by Amazon Web Services (AWS), to financial institutions. With the launch of eMACH.ai, the company visualized the future of banking to be ecosystem-led. Such developments are further contributing to the segmental market growth

Regional Outlook

The global embedded AI market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America. Among these, North America is anticipated to hold a prominent share of the market across the globe, owing to the presence of companies with innovative AI technology, strong R&D skills, rising demand for intelligence edge services, and an established market ecosystem. The key market players in the regional market include Google LLC, IBM Corp., Microsoft Corp., and Amazon Web Services, Inc.

The Asia-Pacific Region is Expected to Grow at a Significant CAGR in the Global Embedded AI Market

Among all regions, the Asia-Pacific regions is anticipated to grow at a considerable CAGR over the forecast period. Regional growth is attributed to economic developments and technological enhancements.The expanding population of the Asia-Pacific region, region is now experiencing tremendous expansion. As a result of Asia's fast pace of technical advancement and openness to new ideas, many businesses use this region's embrace of technology to their advantage. Enabling embedded lending companies are headquartered in Asia-Pacific., but the area attracts some of the most sophisticated regional fintech companies.

The digital economy is one area where Asia-Pacific's variety is evident. Even if notable fintech hubs like Singapore and Hong Kong exist, developing nations are steadily expanding their fintech capacities. As a consequence, the BFSI industry in the area is adopting embedded AI at a consistent pace. By leveraging the promise of embedded finance, some Southeast Asian businesses are already finding success. With all of these factors taken into account, the APAC region's market will see tremendous growth.

Market Players Outlook

The major companies serving the embedded AI market include Google LLC, IBM Corp., Microsoft Corp., Oracle Corp., Advanced Micro Devices, Inc., EdgeImpulse Inc., and others. The market players are considerably contributing to the market growth by the adoption of various strategies including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in April 2023, NVIDIA Corp. entered into collaboration with IKERLAN, an embedded electronics and artificial intelligence provider. The collaboration aimed to increase the technological and knowledge capability of its teams in order to provide the industrial sector with the most innovative AI technology.

The Report Covers:

  • Market value data analysis of 2022 and forecast to 2030.
  • Annualized market revenues ($ million) for each market segment.
  • Country-wise analysis of major geographical regions.
  • Key companies operating in the global embedded AI market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
  • Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
  • Analysis of market-entry and market expansion strategies.
  • Competitive strategies by identifying 'who-stands-where' in the market.

Table of Contents

1. Report Summary

  • Current Industry Analysis and Growth Potential Outlook
  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Region

2. Market Overview and Insights

  • 2.1. Scope of the Report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion

3. Competitive Landscape

  • 3.1. Key Company Analysis
  • 3.2. Google LLC
    • 3.2.1. Overview
    • 3.2.2. Financial Analysis
    • 3.2.3. SWOT Analysis
    • 3.2.4. Recent Developments
  • 3.3. IBM Corp.
    • 3.3.1. Overview
    • 3.3.2. Financial Analysis
    • 3.3.3. SWOT Analysis
    • 3.3.4. Recent Developments
  • 3.4. Microsoft Corp.
    • 3.4.1. Overview
    • 3.4.2. Financial Analysis
    • 3.4.3. SWOT Analysis
    • 3.4.4. Recent Developments
  • 3.5. Key Strategy Analysis

4. Market Segmentation

  • 4.1. Global Embedded AI Market by Offering
    • 4.1.1. Hardware
    • 4.1.2. Software
    • 4.1.3. Services
  • 4.2. Global Embedded AI Market by Data Type
    • 4.2.1. Numerical Data
    • 4.2.2. Categorical Data
    • 4.2.3. Image & Video Data
  • 4.3. Global Embedded AI Market by Vertical
    • 4.3.1. BFSI
    • 4.3.2. Healthcare & Lifesciences
    • 4.3.3. IT & Telecom
    • 4.3.4. Automotive
    • 4.3.5. Media & Entertainment
    • 4.3.6. Energy & Power
    • 4.3.7. Transportation & Logistics
    • 4.3.8. Government & Defense
    • 4.3.9. Manufacturing
    • 4.3.10. Others

5. Regional Analysis

  • 5.1. North America
    • 5.1.1. United States
    • 5.1.2. Canada
  • 5.2. Europe
    • 5.2.1. UK
    • 5.2.2. Germany
    • 5.2.3. Italy
    • 5.2.4. Spain
    • 5.2.5. France
    • 5.2.6. Rest of Europe
  • 5.3. Asia-Pacific
    • 5.3.1. China
    • 5.3.2. India
    • 5.3.3. Japan
    • 5.3.4. South Korea
    • 5.3.5. Rest of Asia-Pacific
  • 5.4. Rest of the World

6. Company Profiles

  • 6.1. Advanced Micro Devices, Inc.
  • 6.2. Au-Zone Technologies, Inc.
  • 6.3. Code Time Technologies
  • 6.4. EdgeImpulse Inc.
  • 6.5. Eta Compute Inc.
  • 6.6. Hewlett Packard Enterprise
  • 6.7. Intel Corp
  • 6.8. LUIS Technology GmbH
  • 6.9. MediaTek Inc.
  • 6.10. NeuroPace, Inc.
  • 6.11. NVIDIA Corp
  • 6.12. NXP Semiconductors N.V.
  • 6.13. Octonion Systems LLP
  • 6.14. Oracle Corp.
  • 6.15. Qualcomm
  • 6.16. Salesforce Inc
  • 6.17. SenseTime Group Ltd.
  • 6.18. SensiML Corp.
  • 6.19. Shenzhen HiSilicon Semiconductor Co., Ltd.
  • 6.20. Siemens AG
  • 6.21. STMicroelectronics N.V.
  • 6.22. Syntiant Corp.
  • 6.23. VectorBlox Computing Inc.

LIST OF TABLES

  • 1. GLOBAL EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY OFFERING, 2022-2030 ($ MILLION)
  • 2. GLOBAL EMBEDDED AI HARDWARE MARKET RESEARCH AND ANALYSIS BY REGION,2022-2030 ($ MILLION)
  • 3. GLOBAL EMBEDDED AI SOFTWARE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 4. GLOBAL EMBEDDED AI SERVICES MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 5. GLOBAL EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY DATA TYPE, 2022-2030 ($ MILLION)
  • 6. GLOBAL NUMERICAL DATA IN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 7. GLOBAL CATEGORICAL DATA IN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 8. GLOBAL IMAGE AND VIDEO DATA IN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 9. GLOBAL EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2022-2030 ($ MILLION)
  • 10. GLOBAL EMBEDDED AI FOR BFSI MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 11. GLOBAL EMBEDDED AI FOR HEALTHCARE & LIFESCIENCES MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 12. GLOBAL EMBEDDED AI FOR IT & TELECOM MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 13. GLOBAL EMBEDDED AI FOR AUTOMOTIVE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 14. GLOBAL EMBEDDED AI FOR MEDIA & ENTERTAINMENT MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 15. GLOBAL EMBEDDED AI FOR ENERGY & POWER MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 16. GLOBAL EMBEDDED AI FOR TRANSPORTATION & LOGISTICS MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 17. GLOBAL EMBEDDED AI FOR GOVERNMENT & DEFENSE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 18. GLOBAL EMBEDDED AI FOR MANUFACTURING MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 19. GLOBAL EMBEDDED AI FOR OTHER VERTICALS MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 20. GLOBAL EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 21. NORTH AMERICAN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 22. NORTH AMERICAN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY OFFERING, 2022-2030 ($ MILLION)
  • 23. NORTH AMERICAN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY DATA TYPE, 2022-2030 ($ MILLION)
  • 24. NORTH AMERICAN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2022-2030 ($ MILLION)
  • 25. EUROPEAN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 26. EUROPEAN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY OFFERING, 2022-2030 ($ MILLION)
  • 27. EUROPEAN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY DATA TYPE, 2022-2030 ($ MILLION)
  • 28. EUROPEAN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2022-2030 ($ MILLION)
  • 29. ASIA- PACIFIC EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 30. ASIA- PACIFIC EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY OFFERING, 2022-2030 ($ MILLION)
  • 31. ASIA- PACIFIC EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY DATA TYPE, 2022-2030 ($ MILLION)
  • 32. ASIA- PACIFIC EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2022-2030 ($ MILLION)
  • 33. REST OF THE WORLD EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 34. REST OF THE WORLD EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY OFFERING, 2022-2030 ($ MILLION)
  • 35. REST OF THE WORLD EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY DATA TYPE, 2022-2030 ($ MILLION)
  • 36. REST OF THE WORLD EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2022-2030 ($ MILLION)

LIST OF FIGURES

  • 1. GLOBAL EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY OFFERING, 2022 VS 2030 (%)
  • 2. GLOBAL EMBEDDED AI HARDWARE MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 3. GLOBAL EMBEDDED AI SOFTWARE MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 4. GLOBAL EMBEDDED AI SERVICES MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 5. GLOBAL EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY DATA TYPE, 2022 VS 2030 (%)
  • 6. GLOBAL NUMERICAL DATA IN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 7. GLOBAL CATEGORICAL DATA IN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 8. GLOBAL IMAGE AND VIDEO DATA IN EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 9. GLOBAL EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2022 VS 2030 (%)
  • 10. GLOBAL EMBEDDED AI FOR BFSI MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 11. GLOBAL EMBEDDED AI FOR HEALTHCARE & LIFESCIENCES MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 12. GLOBAL EMBEDDED AI FOR IT & TELECOM MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 13. GLOBAL EMBEDDED AI FOR AUTOMOTIVE MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 14. GLOBAL EMBEDDED AI FOR MEDIA & ENTERTAINMENT MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 15. GLOBAL EMBEDDED AI FOR ENERGY & POWER MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 16. GLOBAL EMBEDDED AI FOR TRANSPORTATION & LOGISTICS MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 17. GLOBAL EMBEDDED AI FOR GOVERNMENT & DEFENSE MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 18. GLOBAL EMBEDDED AI FOR MANUFACTURING MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 19. GLOBAL EMBEDDED AI FOR OTHER VERTICALS MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 20. GLOBAL EMBEDDED AI MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 21. US EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 22. CANADA EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 23. UK EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 24. FRANCE EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 25. GERMANY EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 26. ITALY EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 27. SPAIN EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 28. REST OF EUROPE EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 29. INDIA EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 30. CHINA EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 31. JAPAN EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 32. SOUTH KOREA EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 33. REST OF ASIA-PACIFIC EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)
  • 34. REST OF THE WORLD EMBEDDED AI MARKET SIZE, 2022-2030 ($ MILLION)