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封面
市場調查報告書
商品編碼
1363968

全球嵌入式人工智慧市場 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個工作天內

價格

預計在預測期內（2023-2030 年），全球嵌入式人工智慧市場將以 9.6% 的年複合成長率成長。嵌入式人工智慧是人工智慧功能的通用框架系統。它內建於網路設備中，為AI演算法提供通用的模型管理、資料擷取和資料預處理功能。終端用戶產業對嵌入式AI不斷成長的需求是推動全球嵌入式AI市場成長的關鍵因素。這是因為嵌入式人工智慧的採用增加可能會改善醫療保健領域的醫療診斷和治療。嵌入式人工智慧可以提高製造業的工廠自動化水準。此外，嵌入式人工智慧可以從根本上提高家庭自動化系統和智慧型穿戴裝置的功能。為了滿足最終用戶行業不斷成長的需求，主要參與者正在推出新產品。例如，2022 年 3 月，NVIDIA 公司推出了 Clara Holoscan MGX，這是一個供醫療設備行業在邊緣開發和部署即時 AI 應用程式的平台，專門為滿足所需的監管標準而設計。 Clara Holoscan MGX 醫療級平台採用 NVIDIA Orin 和 NVIDIA AI 軟體堆疊，為嵌入式運算領導者所建置的系統提供支援。

細分市場前景

全球嵌入式人工智慧市場按產品、資料類型和垂直領域進行細分。根據所提供的產品，市場被細分為硬體、軟體和服務。根據資料類型，市場分為數值資料、分類資料和影像視訊資料。此外，根據垂直產業，市場細分為 BFSI、醫療保健和生命科學、IT 和電信、汽車、媒體和娛樂、能源和電力、運輸和物流、政府和國防、製造業等。在這些產品中，由於開發嵌入式人工智慧應用所需的專用軟體工具和框架，預計軟體細分市場將佔據相當大的市場佔有率。

預計 BFSI 細分市場將在全球嵌入式人工智慧市場中佔據相當大的佔有率

在垂直行業中，BFSI 細分市場預計將在全球嵌入式人工智慧市場中佔據相當大的佔有率。此細分市場的成長歸因於數位平台的影響力日益增強，成為升級多項業務營運的關鍵因素。人工智慧可以在 BFSI 中發揮主要作用，因為它提供先進的資料分析來打擊詐欺交易並提高合規性。 BFSI 部門處理大量資料，管理它成為一項艱鉅的任務。人工智慧可以幫助在短時間內管理大量資料，並從中獲得有價值的見解。此外，人工智慧可以幫助在幾秒鐘內發現反洗錢活動，BFSI部門可以利用人工智慧為更廣泛的客戶群提供更優質的服務。 2023 年 3 月，金融科技公司 Intellect Design Arena 推出了 eMACH.ai。該平台將為金融機構提供由亞馬遜網路服務（AWS）支援的嵌入式人工智慧雲端服務。隨著 eMACH.ai 的推出，該公司設想銀行業的未來將以生態系統為主導。這些發展進一步促進了細分市場的成長

區域展望

全球嵌入式人工智慧市場根據地理位置進一步細分，包括北美（美國和加拿大）、歐洲（英國、義大利、西班牙、德國、法國和歐洲其他地區）、亞太地區（印度、中國、日本） 、韓國和亞洲其他地區）以及世界其他地區（中東和非洲以及拉丁美洲）。其中，由於北美地區的存在，預計將在全球市場中佔據顯著佔有率擁有創新的人工智慧技術、強大的研發能力、不斷成長的智慧邊緣服務需求以及成熟的市場生態系統的公司。該區域市場的主要市場參與者包括Google、IBM、微軟和亞馬遜網路服務公司。

亞太地區全球嵌入式人工智慧市場預計將以顯著的年複合成長率成長

在所有地區中，亞太地區預計在預測期內將以相當大的年複合成長率成長。區域成長歸因於經濟發展和技術進步。亞太地區人口不斷成長，該地區目前正在經歷巨大的擴張。由於亞洲技術進步速度快且對新想法持開放態度，許多企業利用該地區對技術的擁抱來發揮自己的優勢。嵌入式貸款公司總部位於亞太地區，但該地區吸引了一些最先進的區域金融科技公司。

數位經濟是亞太地區多樣性明顯的領域之一。即使有新加坡和香港等著名的金融科技中心，發展中國家也正穩步擴大其金融科技能力。因此，該地區的 BFSI 行業正在以一致的速度採用嵌入式人工智慧。透過利用嵌入式金融的前景，一些東南亞企業已經取得了成功。考慮到所有這些因素，亞太地區的市場將出現巨大的成長。

目錄

第 1 章：報告摘要

  • 目前行業分析及成長潛力展望
  • 研究方法和工具
  • 市場區隔
    • 按細分
    • 按地區

第 2 章：市場概述與見解

  • 報告範圍
  • 分析師見解和當前市場趨勢
    • 主要發現
    • 建議
    • 結論

第 3 章：競爭格局

  • 主要公司分析
  • Google LLC
    • 概述
    • 財務分析
    • SWOT分析
    • 最近的發展
  • IBM Corp.
    • 概述
    • 財務分析
    • SWOT分析
    • 最近的發展
  • Microsoft Corp.
    • 概述
    • 財務分析
    • SWOT分析
    • 最近的發展
  • 關鍵策略分析

第 4 章：市場細分

  • 全球嵌入式人工智慧市場（按產品分類）
    • 硬體
    • 軟體
    • 服務
  • 按資料類型分類的全球嵌入式人工智慧市場
    • 數值數據
    • 分類資料
    • 影像和視訊數據
  • 全球嵌入式人工智慧市場（按垂直領域）
    • BFSI
    • 醫療保健與生命科學
    • 資訊科技與電信
    • 汽車
    • 媒體與娛樂
    • 能源與電力
    • 運輸與物流
    • 政府與國防
    • 製造業
    • 其他

第 5 章：區域分析

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 義大利
    • 西班牙
    • 法國
    • 歐洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 韓國
    • 亞太其他地區
  • 世界其他地區

第 6 章：公司簡介

  • 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)