Global Artificial Intelligence for Edge Devices Market 2024 by Company, Regions, Type and Application, Forecast to 2030

Global Artificial Intelligence for Edge Devices Market 2024 by Company, Regions, Type and Application, Forecast to 2030

Page: 101

Published Date: 02 Jan 2024

Category: New Technology

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  • sp_icon1 sp_icon1_b Description
  • sp_icon2 sp_icon2_b Table of Contents
  • sp_icon3 sp_icon3_b Table of Figures
  • sp_icon4 sp_icon4_b Research Methodology
  • sp_icon1 sp_icon1_b Companies Mentioned
  • sp_icon1 sp_icon1_b Related Reports
  • sp_icon1 sp_icon1_b Product Tags
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Description

According to our latest research, the global Artificial Intelligence for Edge Devices market size will reach USD 15960 million in 2030, growing at a CAGR of 25.7% over the analysis period.

Artificial intelligence (AI) processing today is mostly done in a cloud-based data center. The majority of AI processing is dominated by training of deep learning models, which requires heavy compute capacity. Artificial intelligence for edge devices means that AI software algorithms are processed locally on a hardware device. The algorithms are using data (sensor data or signals) that are created on the device. A device using Edge AI software does not need to be connected in order to work properly, it can process data and take decisions independently without a connection. In this report, artificial intelligence for edge devices contains software tools, platforms, artificial intelligence chip.

The Artificial Intelligence for Edge Devices market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

Global Artificial Intelligence for Edge Devices key players include Microsoft, Qualcomm, Intel, Google, Alibaba, etc. Global top five manufacturers hold a share over 50%.

North America is the largest market, with a share about 45%, followed by Europe and China, both have a share over 30 percent.

In terms of product, Hardware is the largest segment, with a share about 70%. And in terms of application, the largest application is Mobile Phones, followed by Smart Speakers.

Market segmentation
Artificial Intelligence for Edge Devices market is split by Type and by Application. For the period 2024-2030, the growth among segments provide accurate calculations and forecasts for revenue by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type, covers
Hardware
Software

Market segment by Application, can be divided into
Automotive
Consumer and Enterprise Robotics
Drones
Head-Mounted Displays
Smart Speakers
Security Cameras

Market segment by players, this report covers
Microsoft
Qualcomm
Intel
Google
Alibaba
NVIDIA
Arm
Horizon Robotics
Baidu
Synopsys
Cambricon
MediaTek
Mythic
NXP

Market segment by regions, regional analysis covers
North America
Europe
Asia-Pacific (China, Japan, South Korea, Rest of Asia-Pacific)
South America
Middle East & Africa

The content of the study subjects, includes a total of 8 chapters:
Chapter 1, to describe Artificial Intelligence for Edge Devices product scope, market overview, market opportunities, market driving force and market risks.
Chapter 2, to profile the top players of Artificial Intelligence for Edge Devices, with recent developments and future plans
Chapter 3, the Artificial Intelligence for Edge Devices competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4, to break the market size data at the region level, with key companies in the key region and Artificial Intelligence for Edge Devices market forecast, by regions, with revenue, from 2024 to 2030.
Chapter 5 and 6, to segment the market size by Type and application, with revenue and growth rate by Type, application, from 2024 to 2030.
Chapter 7 and 8, to describe Artificial Intelligence for Edge Devices research findings and conclusion, appendix and data source.
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Table of Contents

1 Market Overview
1.1 Product Overview and Scope of Artificial Intelligence for Edge Devices
1.2 Classification of Artificial Intelligence for Edge Devices by Type
1.2.1 Overview: Global Artificial Intelligence for Edge Devices Market Size by Type: 2024 Versus 2030
1.2.2 Global Artificial Intelligence for Edge Devices Revenue Market Share by Type in 2030
1.2.3 Hardware
1.2.4 Software
1.3 Global Artificial Intelligence for Edge Devices Market by Application
1.3.1 Overview: Global Artificial Intelligence for Edge Devices Market Size by Application: 2024 Versus 2030
1.3.2 Automotive
1.3.3 Consumer and Enterprise Robotics
1.3.4 Drones
1.3.5 Head-Mounted Displays
1.3.6 Smart Speakers
1.3.7 Security Cameras
1.4 Global Artificial Intelligence for Edge Devices Market Size & Forecast
1.5 Market Drivers, Restraints and Trends
1.5.1 Artificial Intelligence for Edge Devices Market Drivers
1.5.2 Artificial Intelligence for Edge Devices Market Restraints
1.5.3 Artificial Intelligence for Edge Devices Trends Analysis

2 Company Profiles
2.1 Microsoft
2.1.1 Microsoft Details
2.1.2 Microsoft Major Business
2.1.3 Microsoft Artificial Intelligence for Edge Devices Product and Solutions
2.1.4 Microsoft Recent Developments and Future Plans
2.2 Qualcomm
2.2.1 Qualcomm Details
2.2.2 Qualcomm Major Business
2.2.3 Qualcomm Artificial Intelligence for Edge Devices Product and Solutions
2.2.4 Qualcomm Recent Developments and Future Plans
2.3 Intel
2.3.1 Intel Details
2.3.2 Intel Major Business
2.3.3 Intel Artificial Intelligence for Edge Devices Product and Solutions
2.3.4 Intel Recent Developments and Future Plans
2.4 Google
2.4.1 Google Details
2.4.2 Google Major Business
2.4.3 Google Artificial Intelligence for Edge Devices Product and Solutions
2.4.4 Google Recent Developments and Future Plans
2.5 Alibaba
2.5.1 Alibaba Details
2.5.2 Alibaba Major Business
2.5.3 Alibaba Artificial Intelligence for Edge Devices Product and Solutions
2.5.4 Alibaba Recent Developments and Future Plans
2.6 NVIDIA
2.6.1 NVIDIA Details
2.6.2 NVIDIA Major Business
2.6.3 NVIDIA Artificial Intelligence for Edge Devices Product and Solutions
2.6.4 NVIDIA Recent Developments and Future Plans
2.7 Arm
2.7.1 Arm Details
2.7.2 Arm Major Business
2.7.3 Arm Artificial Intelligence for Edge Devices Product and Solutions
2.7.4 Arm Recent Developments and Future Plans
2.8 Horizon Robotics
2.8.1 Horizon Robotics Details
2.8.2 Horizon Robotics Major Business
2.8.3 Horizon Robotics Artificial Intelligence for Edge Devices Product and Solutions
2.8.4 Horizon Robotics Recent Developments and Future Plans
2.9 Baidu
2.9.1 Baidu Details
2.9.2 Baidu Major Business
2.9.3 Baidu Artificial Intelligence for Edge Devices Product and Solutions
2.9.4 Baidu Recent Developments and Future Plans
2.10 Synopsys
2.10.1 Synopsys Details
2.10.2 Synopsys Major Business
2.10.3 Synopsys Artificial Intelligence for Edge Devices Product and Solutions
2.10.4 Synopsys Recent Developments and Future Plans
2.11 Cambricon
2.11.1 Cambricon Details
2.11.2 Cambricon Major Business
2.11.3 Cambricon Artificial Intelligence for Edge Devices Product and Solutions
2.11.4 Cambricon Recent Developments and Future Plans
2.12 MediaTek
2.12.1 MediaTek Details
2.12.2 MediaTek Major Business
2.12.3 MediaTek Artificial Intelligence for Edge Devices Product and Solutions
2.12.4 MediaTek Recent Developments and Future Plans
2.13 Mythic
2.13.1 Mythic Details
2.13.2 Mythic Major Business
2.13.3 Mythic Artificial Intelligence for Edge Devices Product and Solutions
2.13.4 Mythic Recent Developments and Future Plans
2.14 NXP
2.14.1 NXP Details
2.14.2 NXP Major Business
2.14.3 NXP Artificial Intelligence for Edge Devices Product and Solutions
2.14.4 NXP Recent Developments and Future Plans

3 Market Competition, by Players
3.1 Global Artificial Intelligence for Edge Devices Revenue and Share by Players (2024 & 2030)
3.2 Artificial Intelligence for Edge Devices Players Head Office, Products and Services Provided
3.3 Artificial Intelligence for Edge Devices Mergers & Acquisitions
3.4 Artificial Intelligence for Edge Devices New Entrants and Expansion Plans

4 Global Artificial Intelligence for Edge Devices Forecast by Region
4.1 Global Artificial Intelligence for Edge Devices Market Size by Region: 2024 VS 2030
4.2 Global Artificial Intelligence for Edge Devices Market Size by Region, (2024-2030)
4.3 North America
4.3.1 Key Companies of Artificial Intelligence for Edge Devices in North America
4.3.2 Current Situation and Forecast of Artificial Intelligence for Edge Devices in North America
4.3.3 North America Artificial Intelligence for Edge Devices Market Size and Prospect (2024-2030)
4.4 Europe
4.4.1 Key Companies of Artificial Intelligence for Edge Devices in Europe
4.4.2 Current Situation and Forecast of Artificial Intelligence for Edge Devices in Europe
4.4.3 Europe Artificial Intelligence for Edge Devices Market Size and Prospect (2024-2030)
4.5 Asia-Pacific
4.5.1 Key Companies of Artificial Intelligence for Edge Devices in Asia-Pacific
4.5.2 Current Situation and Forecast of Artificial Intelligence for Edge Devices in Asia-Pacific
4.5.3 Asia-Pacific Artificial Intelligence for Edge Devices Market Size and Prospect (2024-2030)
4.5.4 China
4.5.5 Japan
4.5.6 South Korea
4.6 South America
4.6.1 Key Companies of Artificial Intelligence for Edge Devices in South America
4.6.2 Current Situation and Forecast of Artificial Intelligence for Edge Devices in South America
4.6.3 South America Artificial Intelligence for Edge Devices Market Size and Prospect (2024-2030)
4.7 Middle East & Africa
4.7.1 Key Companies of Artificial Intelligence for Edge Devices in Middle East & Africa
4.7.2 Current Situation and Forecast of Artificial Intelligence for Edge Devices in Middle East & Africa
4.7.3 Middle East & Africa Artificial Intelligence for Edge Devices Market Size and Prospect (2024-2030)

5 Market Size Segment by Type
5.1 Global Artificial Intelligence for Edge Devices Market Forecast by Type (2024-2030)
5.2 Global Artificial Intelligence for Edge Devices Market Share Forecast by Type (2024-2030)

6 Market Size Segment by Application
6.1 Global Artificial Intelligence for Edge Devices Market Forecast by Application (2024-2030)
6.2 Global Artificial Intelligence for Edge Devices Market Share Forecast by Application (2024-2030)

7 Research Findings and Conclusion

8 Appendix
8.1 Methodology
8.2 Research Process and Data Source
8.3 Disclaimer
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Table of Figures

List of Tables
Table 1. Global Artificial Intelligence for Edge Devices Revenue by Type, (USD Million), 2024 VS 2030
Table 2. Global Artificial Intelligence for Edge Devices Revenue by Application, (USD Million), 2024 VS 2030
Table 3. Microsoft Corporate Information, Head Office, and Major Competitors
Table 4. Microsoft Major Business
Table 5. Microsoft Artificial Intelligence for Edge Devices Product and Solutions
Table 6. Qualcomm Corporate Information, Head Office, and Major Competitors
Table 7. Qualcomm Major Business
Table 8. Qualcomm Artificial Intelligence for Edge Devices Product and Solutions
Table 9. Intel Corporate Information, Head Office, and Major Competitors
Table 10. Intel Major Business
Table 11. Intel Artificial Intelligence for Edge Devices Product and Solutions
Table 12. Google Corporate Information, Head Office, and Major Competitors
Table 13. Google Major Business
Table 14. Google Artificial Intelligence for Edge Devices Product and Solutions
Table 15. Alibaba Corporate Information, Head Office, and Major Competitors
Table 16. Alibaba Major Business
Table 17. Alibaba Artificial Intelligence for Edge Devices Product and Solutions
Table 18. NVIDIA Corporate Information, Head Office, and Major Competitors
Table 19. NVIDIA Major Business
Table 20. NVIDIA Artificial Intelligence for Edge Devices Product and Solutions
Table 21. Arm Corporate Information, Head Office, and Major Competitors
Table 22. Arm Major Business
Table 23. Arm Artificial Intelligence for Edge Devices Product and Solutions
Table 24. Horizon Robotics Corporate Information, Head Office, and Major Competitors
Table 25. Horizon Robotics Major Business
Table 26. Horizon Robotics Artificial Intelligence for Edge Devices Product and Solutions
Table 27. Baidu Corporate Information, Head Office, and Major Competitors
Table 28. Baidu Major Business
Table 29. Baidu Artificial Intelligence for Edge Devices Product and Solutions
Table 30. Synopsys Corporate Information, Head Office, and Major Competitors
Table 31. Synopsys Major Business
Table 32. Synopsys Artificial Intelligence for Edge Devices Product and Solutions
Table 33. Cambricon Corporate Information, Head Office, and Major Competitors
Table 34. Cambricon Major Business
Table 35. Cambricon Artificial Intelligence for Edge Devices Product and Solutions
Table 36. MediaTek Corporate Information, Head Office, and Major Competitors
Table 37. MediaTek Major Business
Table 38. MediaTek Artificial Intelligence for Edge Devices Product and Solutions
Table 39. Mythic Corporate Information, Head Office, and Major Competitors
Table 40. Mythic Major Business
Table 41. Mythic Artificial Intelligence for Edge Devices Product and Solutions
Table 42. NXP Corporate Information, Head Office, and Major Competitors
Table 43. NXP Major Business
Table 44. NXP Artificial Intelligence for Edge Devices Product and Solutions
Table 45. Global Artificial Intelligence for Edge Devices Revenue (USD Million) by Players (2024 & 2030)
Table 46. Global Artificial Intelligence for Edge Devices Revenue Share by Players (2024 & 2030)
Table 47. Artificial Intelligence for Edge Devices Players Head Office, Products and Services Provided
Table 48. Artificial Intelligence for Edge Devices Mergers & Acquisitions in the Past Five Years
Table 49. Artificial Intelligence for Edge Devices New Entrants and Expansion Plans
Table 50. Global Market Artificial Intelligence for Edge Devices Revenue (USD Million) Comparison by Region (2024 VS 2030)
Table 51. Global Artificial Intelligence for Edge Devices Revenue Market Share by Region (2024-2030)
Table 52. Key Companies of Artificial Intelligence for Edge Devices in North America
Table 53. Current Situation and Forecast of Artificial Intelligence for Edge Devices in North America
Table 54. Key Companies of Artificial Intelligence for Edge Devices in Europe
Table 55. Current Situation and Forecast of Artificial Intelligence for Edge Devices in Europe
Table 56. Key Companies of Artificial Intelligence for Edge Devices in Asia-Pacific
Table 57. Current Situation and Forecast of Artificial Intelligence for Edge Devices in Asia-Pacific
Table 58. Key Companies of Artificial Intelligence for Edge Devices in China
Table 59. Key Companies of Artificial Intelligence for Edge Devices in Japan
Table 60. Key Companies of Artificial Intelligence for Edge Devices in South Korea
Table 61. Key Companies of Artificial Intelligence for Edge Devices in South America
Table 62. Current Situation and Forecast of Artificial Intelligence for Edge Devices in South America
Table 63. Key Companies of Artificial Intelligence for Edge Devices in Middle East & Africa
Table 64. Current Situation and Forecast of Artificial Intelligence for Edge Devices in Middle East & Africa
Table 65. Global Artificial Intelligence for Edge Devices Revenue Forecast by Type (2024-2030)
Table 66. Global Artificial Intelligence for Edge Devices Revenue Forecast by Application (2024-2030)
List of Figures
Figure 1. Artificial Intelligence for Edge Devices Picture
Figure 2. Global Artificial Intelligence for Edge Devices Revenue Market Share by Type in 2030
Figure 3. Hardware
Figure 4. Software
Figure 5. Artificial Intelligence for Edge Devices Revenue Market Share by Application in 2030
Figure 6. Automotive Picture
Figure 7. Consumer and Enterprise Robotics Picture
Figure 8. Drones Picture
Figure 9. Head-Mounted Displays Picture
Figure 10. Smart Speakers Picture
Figure 11. Security Cameras Picture
Figure 12. Global Artificial Intelligence for Edge Devices Market Size, (USD Million): 2024 VS 2030
Figure 13. Global Artificial Intelligence for Edge Devices Revenue and Forecast (2024-2030) & (USD Million)
Figure 14. Artificial Intelligence for Edge Devices Market Drivers
Figure 15. Artificial Intelligence for Edge Devices Market Restraints
Figure 16. Artificial Intelligence for Edge Devices Market Trends
Figure 17. Microsoft Recent Developments and Future Plans
Figure 18. Qualcomm Recent Developments and Future Plans
Figure 19. Intel Recent Developments and Future Plans
Figure 20. Google Recent Developments and Future Plans
Figure 21. Alibaba Recent Developments and Future Plans
Figure 22. NVIDIA Recent Developments and Future Plans
Figure 23. Arm Recent Developments and Future Plans
Figure 24. Horizon Robotics Recent Developments and Future Plans
Figure 25. Baidu Recent Developments and Future Plans
Figure 26. Synopsys Recent Developments and Future Plans
Figure 27. Cambricon Recent Developments and Future Plans
Figure 28. MediaTek Recent Developments and Future Plans
Figure 29. Mythic Recent Developments and Future Plans
Figure 30. NXP Recent Developments and Future Plans
Figure 31. Global Artificial Intelligence for Edge Devices Revenue Market Share by Region (2024-2030)
Figure 32. Global Artificial Intelligence for Edge Devices Revenue Market Share by Region in 2030
Figure 33. North America Artificial Intelligence for Edge Devices Revenue (USD Million) and Growth Rate (2024-2030)
Figure 34. Europe Artificial Intelligence for Edge Devices Revenue (USD Million) and Growth Rate (2024-2030)
Figure 35. Asia-Pacific Artificial Intelligence for Edge Devices Revenue (USD Million) and Growth Rate (2024-2030)
Figure 36. South America Artificial Intelligence for Edge Devices Revenue (USD Million) and Growth Rate (2024-2030)
Figure 37. Middle East & Africa Artificial Intelligence for Edge Devices Revenue (USD Million) and Growth Rate (2024-2030)
Figure 38. Global Artificial Intelligence for Edge Devices Market Share Forecast by Type (2024-2030)
Figure 39. Global Artificial Intelligence for Edge Devices Market Share Forecast by Application (2024-2030)
Figure 40. Methodology
Figure 41. Research Process and Data Source
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Research Methodology

Client Requirements

yuan2

Review and analyze client requirements

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Discussion of all the project requirements and queries

Flexibility Check

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Project Feasibility Analysis

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Finalizing tentative research programme

yuan2

Structuring project proposal with scope, timeline, and costs

Analyzing Market Dynamics

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Determination of key drivers, restraints, challenge, and opportunity

yuan2

Identifies market needs and trends

Market Size Estimation & Forecast

yuan2

Estimation of historical data based on secondary and primary data

yuan2

Anticipating market recast by assigning weightage to market forces (drivers, restraints, opportunities)

yuan2

Freezing historical and forecast market size estimations based on evolution, trends, outlook, and strategies

yuan2

Consideration of geography, region-specific product/service demand for region segments

yuan2

Consideration of product utilization rates, product demand outlook for segments by application or end-user.

tuBiao1

Data Source

yuan2

Secondary Source
Data collections from annual reports, presentations,associations, journals, analyst reports, paid database, press releases, blogs, newsletters,and GIR repositories.

yuan2

Primary Source
Research discussion with manufacturers, distributors, suppliers, end user, industry experts to verify insights.

Validation and
triangulation of
secondary and primary source.

yuan2

Collection of data

yuan2

Cumulating and collating the essential qualitative and quantitative data

yuan2

Generation of report in client requested format by research analysts

yuan2

Reviews by expert analysts

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Final quality check

yuan2

Clarifying queries

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Receiving feedback

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Ensuring satisfaction

  • yuan01
    liuCheng01

    01 Identification of data

    This step involves identification of several primary and secondary data research sources, including Global Info Research's internal data sources. The primary sources consist of in-depth discussions and interviews with policy makers, industry experts, and data evaluators, whereas secondary sources include a thorough study of market journals, press releases, annual reports, and government and non-government agencies websites.

  • yuan01
    liuCheng01

    02 Evaluation of Market Dynamic

    This phase includes a detailed evaluation of several factors that are likely to affect the market dynamics. It involves a comprehensive assessment of major market pain points, drivers, and trends. It also comprises a detailed study of research plans and methodology.

  • yuan01
    liuCheng01

    03 Collection of Data

    This process consists of gathering data, accessing proprietary databases, and reaching out to key industry participants that operate in the market across the value chain. It also involves studying several patterns in the historical data and comparing it with the current scenario.

  • yuan01
    liuCheng01

    04 Collaboration of Data

    This stage involves the validation of data and arrival at actual statistics, and evolution of the market over the years. It entails the study and analyzes various segments and verticals of the market. An impact analysis is also performed to observe which factors will affect the market in the next few years.

  • yuan01
    liuCheng01

    05 Verification and Analysis

    This is the final stage, which involves both quantity and quality checks. Although the process of data verification is an integral part of the research process, all data points and statistics and figures are re-checked to uphold their authenticity and validity.

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Companies Mentioned

Microsoft
Qualcomm
Intel
Google
Alibaba
NVIDIA
Arm
Horizon Robotics
Baidu
Synopsys
Cambricon
MediaTek
Mythic
NXP
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Global Artificial Intelligence for Edge Devices Market 2024 by Company, Regions, Type and Application, Forecast to 2030

Global Artificial Intelligence for Edge Devices Market 2024 by Company, Regions, Type and Application, Forecast to 2030

Page: 101

Published Date: 02 Jan 2024

Category: New Technology

PDF Download

Get FREE Sample

Customize Request

Description

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Description

According to our latest research, the global Artificial Intelligence for Edge Devices market size will reach USD 15960 million in 2030, growing at a CAGR of 25.7% over the analysis period.

Artificial intelligence (AI) processing today is mostly done in a cloud-based data center. The majority of AI processing is dominated by training of deep learning models, which requires heavy compute capacity. Artificial intelligence for edge devices means that AI software algorithms are processed locally on a hardware device. The algorithms are using data (sensor data or signals) that are created on the device. A device using Edge AI software does not need to be connected in order to work properly, it can process data and take decisions independently without a connection. In this report, artificial intelligence for edge devices contains software tools, platforms, artificial intelligence chip.

The Artificial Intelligence for Edge Devices market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

Global Artificial Intelligence for Edge Devices key players include Microsoft, Qualcomm, Intel, Google, Alibaba, etc. Global top five manufacturers hold a share over 50%.

North America is the largest market, with a share about 45%, followed by Europe and China, both have a share over 30 percent.

In terms of product, Hardware is the largest segment, with a share about 70%. And in terms of application, the largest application is Mobile Phones, followed by Smart Speakers.

Market segmentation
Artificial Intelligence for Edge Devices market is split by Type and by Application. For the period 2024-2030, the growth among segments provide accurate calculations and forecasts for revenue by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type, covers
Hardware
Software

Market segment by Application, can be divided into
Automotive
Consumer and Enterprise Robotics
Drones
Head-Mounted Displays
Smart Speakers
Security Cameras

Market segment by players, this report covers
Microsoft
Qualcomm
Intel
Google
Alibaba
NVIDIA
Arm
Horizon Robotics
Baidu
Synopsys
Cambricon
MediaTek
Mythic
NXP

Market segment by regions, regional analysis covers
North America
Europe
Asia-Pacific (China, Japan, South Korea, Rest of Asia-Pacific)
South America
Middle East & Africa

The content of the study subjects, includes a total of 8 chapters:
Chapter 1, to describe Artificial Intelligence for Edge Devices product scope, market overview, market opportunities, market driving force and market risks.
Chapter 2, to profile the top players of Artificial Intelligence for Edge Devices, with recent developments and future plans
Chapter 3, the Artificial Intelligence for Edge Devices competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4, to break the market size data at the region level, with key companies in the key region and Artificial Intelligence for Edge Devices market forecast, by regions, with revenue, from 2024 to 2030.
Chapter 5 and 6, to segment the market size by Type and application, with revenue and growth rate by Type, application, from 2024 to 2030.
Chapter 7 and 8, to describe Artificial Intelligence for Edge Devices research findings and conclusion, appendix and data source.
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Table of Contents

1 Market Overview
1.1 Product Overview and Scope of Artificial Intelligence for Edge Devices
1.2 Classification of Artificial Intelligence for Edge Devices by Type
1.2.1 Overview: Global Artificial Intelligence for Edge Devices Market Size by Type: 2024 Versus 2030
1.2.2 Global Artificial Intelligence for Edge Devices Revenue Market Share by Type in 2030
1.2.3 Hardware
1.2.4 Software
1.3 Global Artificial Intelligence for Edge Devices Market by Application
1.3.1 Overview: Global Artificial Intelligence for Edge Devices Market Size by Application: 2024 Versus 2030
1.3.2 Automotive
1.3.3 Consumer and Enterprise Robotics
1.3.4 Drones
1.3.5 Head-Mounted Displays
1.3.6 Smart Speakers
1.3.7 Security Cameras
1.4 Global Artificial Intelligence for Edge Devices Market Size & Forecast
1.5 Market Drivers, Restraints and Trends
1.5.1 Artificial Intelligence for Edge Devices Market Drivers
1.5.2 Artificial Intelligence for Edge Devices Market Restraints
1.5.3 Artificial Intelligence for Edge Devices Trends Analysis

2 Company Profiles
2.1 Microsoft
2.1.1 Microsoft Details
2.1.2 Microsoft Major Business
2.1.3 Microsoft Artificial Intelligence for Edge Devices Product and Solutions
2.1.4 Microsoft Recent Developments and Future Plans
2.2 Qualcomm
2.2.1 Qualcomm Details
2.2.2 Qualcomm Major Business
2.2.3 Qualcomm Artificial Intelligence for Edge Devices Product and Solutions
2.2.4 Qualcomm Recent Developments and Future Plans
2.3 Intel
2.3.1 Intel Details
2.3.2 Intel Major Business
2.3.3 Intel Artificial Intelligence for Edge Devices Product and Solutions
2.3.4 Intel Recent Developments and Future Plans
2.4 Google
2.4.1 Google Details
2.4.2 Google Major Business
2.4.3 Google Artificial Intelligence for Edge Devices Product and Solutions
2.4.4 Google Recent Developments and Future Plans
2.5 Alibaba
2.5.1 Alibaba Details
2.5.2 Alibaba Major Business
2.5.3 Alibaba Artificial Intelligence for Edge Devices Product and Solutions
2.5.4 Alibaba Recent Developments and Future Plans
2.6 NVIDIA
2.6.1 NVIDIA Details
2.6.2 NVIDIA Major Business
2.6.3 NVIDIA Artificial Intelligence for Edge Devices Product and Solutions
2.6.4 NVIDIA Recent Developments and Future Plans
2.7 Arm
2.7.1 Arm Details
2.7.2 Arm Major Business
2.7.3 Arm Artificial Intelligence for Edge Devices Product and Solutions
2.7.4 Arm Recent Developments and Future Plans
2.8 Horizon Robotics
2.8.1 Horizon Robotics Details
2.8.2 Horizon Robotics Major Business
2.8.3 Horizon Robotics Artificial Intelligence for Edge Devices Product and Solutions
2.8.4 Horizon Robotics Recent Developments and Future Plans
2.9 Baidu
2.9.1 Baidu Details
2.9.2 Baidu Major Business
2.9.3 Baidu Artificial Intelligence for Edge Devices Product and Solutions
2.9.4 Baidu Recent Developments and Future Plans
2.10 Synopsys
2.10.1 Synopsys Details
2.10.2 Synopsys Major Business
2.10.3 Synopsys Artificial Intelligence for Edge Devices Product and Solutions
2.10.4 Synopsys Recent Developments and Future Plans
2.11 Cambricon
2.11.1 Cambricon Details
2.11.2 Cambricon Major Business
2.11.3 Cambricon Artificial Intelligence for Edge Devices Product and Solutions
2.11.4 Cambricon Recent Developments and Future Plans
2.12 MediaTek
2.12.1 MediaTek Details
2.12.2 MediaTek Major Business
2.12.3 MediaTek Artificial Intelligence for Edge Devices Product and Solutions
2.12.4 MediaTek Recent Developments and Future Plans
2.13 Mythic
2.13.1 Mythic Details
2.13.2 Mythic Major Business
2.13.3 Mythic Artificial Intelligence for Edge Devices Product and Solutions
2.13.4 Mythic Recent Developments and Future Plans
2.14 NXP
2.14.1 NXP Details
2.14.2 NXP Major Business
2.14.3 NXP Artificial Intelligence for Edge Devices Product and Solutions
2.14.4 NXP Recent Developments and Future Plans

3 Market Competition, by Players
3.1 Global Artificial Intelligence for Edge Devices Revenue and Share by Players (2024 & 2030)
3.2 Artificial Intelligence for Edge Devices Players Head Office, Products and Services Provided
3.3 Artificial Intelligence for Edge Devices Mergers & Acquisitions
3.4 Artificial Intelligence for Edge Devices New Entrants and Expansion Plans

4 Global Artificial Intelligence for Edge Devices Forecast by Region
4.1 Global Artificial Intelligence for Edge Devices Market Size by Region: 2024 VS 2030
4.2 Global Artificial Intelligence for Edge Devices Market Size by Region, (2024-2030)
4.3 North America
4.3.1 Key Companies of Artificial Intelligence for Edge Devices in North America
4.3.2 Current Situation and Forecast of Artificial Intelligence for Edge Devices in North America
4.3.3 North America Artificial Intelligence for Edge Devices Market Size and Prospect (2024-2030)
4.4 Europe
4.4.1 Key Companies of Artificial Intelligence for Edge Devices in Europe
4.4.2 Current Situation and Forecast of Artificial Intelligence for Edge Devices in Europe
4.4.3 Europe Artificial Intelligence for Edge Devices Market Size and Prospect (2024-2030)
4.5 Asia-Pacific
4.5.1 Key Companies of Artificial Intelligence for Edge Devices in Asia-Pacific
4.5.2 Current Situation and Forecast of Artificial Intelligence for Edge Devices in Asia-Pacific
4.5.3 Asia-Pacific Artificial Intelligence for Edge Devices Market Size and Prospect (2024-2030)
4.5.4 China
4.5.5 Japan
4.5.6 South Korea
4.6 South America
4.6.1 Key Companies of Artificial Intelligence for Edge Devices in South America
4.6.2 Current Situation and Forecast of Artificial Intelligence for Edge Devices in South America
4.6.3 South America Artificial Intelligence for Edge Devices Market Size and Prospect (2024-2030)
4.7 Middle East & Africa
4.7.1 Key Companies of Artificial Intelligence for Edge Devices in Middle East & Africa
4.7.2 Current Situation and Forecast of Artificial Intelligence for Edge Devices in Middle East & Africa
4.7.3 Middle East & Africa Artificial Intelligence for Edge Devices Market Size and Prospect (2024-2030)

5 Market Size Segment by Type
5.1 Global Artificial Intelligence for Edge Devices Market Forecast by Type (2024-2030)
5.2 Global Artificial Intelligence for Edge Devices Market Share Forecast by Type (2024-2030)

6 Market Size Segment by Application
6.1 Global Artificial Intelligence for Edge Devices Market Forecast by Application (2024-2030)
6.2 Global Artificial Intelligence for Edge Devices Market Share Forecast by Application (2024-2030)

7 Research Findings and Conclusion

8 Appendix
8.1 Methodology
8.2 Research Process and Data Source
8.3 Disclaimer
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Table of Figures

List of Tables
Table 1. Global Artificial Intelligence for Edge Devices Revenue by Type, (USD Million), 2024 VS 2030
Table 2. Global Artificial Intelligence for Edge Devices Revenue by Application, (USD Million), 2024 VS 2030
Table 3. Microsoft Corporate Information, Head Office, and Major Competitors
Table 4. Microsoft Major Business
Table 5. Microsoft Artificial Intelligence for Edge Devices Product and Solutions
Table 6. Qualcomm Corporate Information, Head Office, and Major Competitors
Table 7. Qualcomm Major Business
Table 8. Qualcomm Artificial Intelligence for Edge Devices Product and Solutions
Table 9. Intel Corporate Information, Head Office, and Major Competitors
Table 10. Intel Major Business
Table 11. Intel Artificial Intelligence for Edge Devices Product and Solutions
Table 12. Google Corporate Information, Head Office, and Major Competitors
Table 13. Google Major Business
Table 14. Google Artificial Intelligence for Edge Devices Product and Solutions
Table 15. Alibaba Corporate Information, Head Office, and Major Competitors
Table 16. Alibaba Major Business
Table 17. Alibaba Artificial Intelligence for Edge Devices Product and Solutions
Table 18. NVIDIA Corporate Information, Head Office, and Major Competitors
Table 19. NVIDIA Major Business
Table 20. NVIDIA Artificial Intelligence for Edge Devices Product and Solutions
Table 21. Arm Corporate Information, Head Office, and Major Competitors
Table 22. Arm Major Business
Table 23. Arm Artificial Intelligence for Edge Devices Product and Solutions
Table 24. Horizon Robotics Corporate Information, Head Office, and Major Competitors
Table 25. Horizon Robotics Major Business
Table 26. Horizon Robotics Artificial Intelligence for Edge Devices Product and Solutions
Table 27. Baidu Corporate Information, Head Office, and Major Competitors
Table 28. Baidu Major Business
Table 29. Baidu Artificial Intelligence for Edge Devices Product and Solutions
Table 30. Synopsys Corporate Information, Head Office, and Major Competitors
Table 31. Synopsys Major Business
Table 32. Synopsys Artificial Intelligence for Edge Devices Product and Solutions
Table 33. Cambricon Corporate Information, Head Office, and Major Competitors
Table 34. Cambricon Major Business
Table 35. Cambricon Artificial Intelligence for Edge Devices Product and Solutions
Table 36. MediaTek Corporate Information, Head Office, and Major Competitors
Table 37. MediaTek Major Business
Table 38. MediaTek Artificial Intelligence for Edge Devices Product and Solutions
Table 39. Mythic Corporate Information, Head Office, and Major Competitors
Table 40. Mythic Major Business
Table 41. Mythic Artificial Intelligence for Edge Devices Product and Solutions
Table 42. NXP Corporate Information, Head Office, and Major Competitors
Table 43. NXP Major Business
Table 44. NXP Artificial Intelligence for Edge Devices Product and Solutions
Table 45. Global Artificial Intelligence for Edge Devices Revenue (USD Million) by Players (2024 & 2030)
Table 46. Global Artificial Intelligence for Edge Devices Revenue Share by Players (2024 & 2030)
Table 47. Artificial Intelligence for Edge Devices Players Head Office, Products and Services Provided
Table 48. Artificial Intelligence for Edge Devices Mergers & Acquisitions in the Past Five Years
Table 49. Artificial Intelligence for Edge Devices New Entrants and Expansion Plans
Table 50. Global Market Artificial Intelligence for Edge Devices Revenue (USD Million) Comparison by Region (2024 VS 2030)
Table 51. Global Artificial Intelligence for Edge Devices Revenue Market Share by Region (2024-2030)
Table 52. Key Companies of Artificial Intelligence for Edge Devices in North America
Table 53. Current Situation and Forecast of Artificial Intelligence for Edge Devices in North America
Table 54. Key Companies of Artificial Intelligence for Edge Devices in Europe
Table 55. Current Situation and Forecast of Artificial Intelligence for Edge Devices in Europe
Table 56. Key Companies of Artificial Intelligence for Edge Devices in Asia-Pacific
Table 57. Current Situation and Forecast of Artificial Intelligence for Edge Devices in Asia-Pacific
Table 58. Key Companies of Artificial Intelligence for Edge Devices in China
Table 59. Key Companies of Artificial Intelligence for Edge Devices in Japan
Table 60. Key Companies of Artificial Intelligence for Edge Devices in South Korea
Table 61. Key Companies of Artificial Intelligence for Edge Devices in South America
Table 62. Current Situation and Forecast of Artificial Intelligence for Edge Devices in South America
Table 63. Key Companies of Artificial Intelligence for Edge Devices in Middle East & Africa
Table 64. Current Situation and Forecast of Artificial Intelligence for Edge Devices in Middle East & Africa
Table 65. Global Artificial Intelligence for Edge Devices Revenue Forecast by Type (2024-2030)
Table 66. Global Artificial Intelligence for Edge Devices Revenue Forecast by Application (2024-2030)
List of Figures
Figure 1. Artificial Intelligence for Edge Devices Picture
Figure 2. Global Artificial Intelligence for Edge Devices Revenue Market Share by Type in 2030
Figure 3. Hardware
Figure 4. Software
Figure 5. Artificial Intelligence for Edge Devices Revenue Market Share by Application in 2030
Figure 6. Automotive Picture
Figure 7. Consumer and Enterprise Robotics Picture
Figure 8. Drones Picture
Figure 9. Head-Mounted Displays Picture
Figure 10. Smart Speakers Picture
Figure 11. Security Cameras Picture
Figure 12. Global Artificial Intelligence for Edge Devices Market Size, (USD Million): 2024 VS 2030
Figure 13. Global Artificial Intelligence for Edge Devices Revenue and Forecast (2024-2030) & (USD Million)
Figure 14. Artificial Intelligence for Edge Devices Market Drivers
Figure 15. Artificial Intelligence for Edge Devices Market Restraints
Figure 16. Artificial Intelligence for Edge Devices Market Trends
Figure 17. Microsoft Recent Developments and Future Plans
Figure 18. Qualcomm Recent Developments and Future Plans
Figure 19. Intel Recent Developments and Future Plans
Figure 20. Google Recent Developments and Future Plans
Figure 21. Alibaba Recent Developments and Future Plans
Figure 22. NVIDIA Recent Developments and Future Plans
Figure 23. Arm Recent Developments and Future Plans
Figure 24. Horizon Robotics Recent Developments and Future Plans
Figure 25. Baidu Recent Developments and Future Plans
Figure 26. Synopsys Recent Developments and Future Plans
Figure 27. Cambricon Recent Developments and Future Plans
Figure 28. MediaTek Recent Developments and Future Plans
Figure 29. Mythic Recent Developments and Future Plans
Figure 30. NXP Recent Developments and Future Plans
Figure 31. Global Artificial Intelligence for Edge Devices Revenue Market Share by Region (2024-2030)
Figure 32. Global Artificial Intelligence for Edge Devices Revenue Market Share by Region in 2030
Figure 33. North America Artificial Intelligence for Edge Devices Revenue (USD Million) and Growth Rate (2024-2030)
Figure 34. Europe Artificial Intelligence for Edge Devices Revenue (USD Million) and Growth Rate (2024-2030)
Figure 35. Asia-Pacific Artificial Intelligence for Edge Devices Revenue (USD Million) and Growth Rate (2024-2030)
Figure 36. South America Artificial Intelligence for Edge Devices Revenue (USD Million) and Growth Rate (2024-2030)
Figure 37. Middle East & Africa Artificial Intelligence for Edge Devices Revenue (USD Million) and Growth Rate (2024-2030)
Figure 38. Global Artificial Intelligence for Edge Devices Market Share Forecast by Type (2024-2030)
Figure 39. Global Artificial Intelligence for Edge Devices Market Share Forecast by Application (2024-2030)
Figure 40. Methodology
Figure 41. Research Process and Data Source
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Research Methodology

Client Requirements

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Review and analyze client requirements

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Discussion of all the project requirements and queries

Flexibility Check

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Project Feasibility Analysis

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Finalizing tentative research programme

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Structuring project proposal with scope, timeline, and costs

Analyzing Market Dynamics

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Determination of key drivers, restraints, challenge, and opportunity

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Identifies market needs and trends

Market Size Estimation & Forecast

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Estimation of historical data based on secondary and primary data

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Anticipating market recast by assigning weightage to market forces (drivers, restraints, opportunities)

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Freezing historical and forecast market size estimations based on evolution, trends, outlook, and strategies

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Consideration of geography, region-specific product/service demand for region segments

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Consideration of product utilization rates, product demand outlook for segments by application or end-user.

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Data Source

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Secondary Source
Data collections from annual reports, presentations,associations, journals, analyst reports, paid database, press releases, blogs, newsletters,and GIR repositories.

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Discussion of all the project requirements and queries

Validation and triangulation of secondary and primary source.

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Collection of data

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Cumulating and collating the essential qualitative and quantitative data

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Generation of report in client requested format by research analysts

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Reviews by expert analysts

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Final quality check

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Clarifying queries

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Receiving feedback

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Ensuring satisfaction

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    01 Identification of data

    This step involves identification of several primary and secondary data research sources, including Global Info Research's internal data sources. The primary sources consist of in-depth discussions and interviews with policy makers, industry experts, and data evaluators, whereas secondary sources include a thorough study of market journals, press releases, annual reports, and government and non-government agencies websites.

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    02 Evaluation of Market Dynamic

    This phase includes a detailed evaluation of several factors that are likely to affect the market dynamics. It involves a comprehensive assessment of major market pain points, drivers, and trends. It also comprises a detailed study of research plans and methodology.

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    03 Collection of Data

    This process consists of gathering data, accessing proprietary databases, and reaching out to key industry participants that operate in the market across the value chain. It also involves studying several patterns in the historical data and comparing it with the current scenario.

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    04 Collaboration of Data

    This stage involves the validation of data and arrival at actual statistics, and evolution of the market over the years. It entails the study and analyzes various segments and verticals of the market. An impact analysis is also performed to observe which factors will affect the market in the next few years.

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    05 Verification and Analysis

    This is the final stage, which involves both quantity and quality checks. Although the process of data verification is an integral part of the research process, all data points and statistics and figures are re-checked to uphold their authenticity and validity.

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Companies Mentioned

Microsoft
Qualcomm
Intel
Google
Alibaba
NVIDIA
Arm
Horizon Robotics
Baidu
Synopsys
Cambricon
MediaTek
Mythic
NXP
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