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The Edge AI Software Market Size was valued at USD 1.33 Billion in 2023 and is expected to reach USD 13.67 Billion by 2032, growing at a CAGR of 29.58% over the forecast period 2024-2032.
The Edge AI software market is experiencing rapid growth, driven by the increasing demand for real-time data processing and analysis at the edge of networks. This shift enables faster decision-making, reduced latency, and improved efficiency in various applications, making it particularly appealing for industries such as manufacturing, healthcare, and smart cities. Industries such as healthcare, manufacturing, and telecommunications are increasingly adopting edge AI technologies, with 38% of medical providers already utilizing AI in diagnostics and over half of telecommunications organizations employing AI-driven chatbots to enhance productivity. Notably, Netflix alone generates USD 1 billion annually from its AI-driven personalized recommendations. In marketing and sales, AI algorithms are reported to increase leads by 50% while significantly reducing call times and overall costs. In the healthcare industry, real-time data analysis is vital for monitoring patient health and managing equipment. For instance, edge AI can facilitate remote patient monitoring by analyzing data from wearable devices directly on the device itself.
The integration of artificial intelligence (AI) in healthcare presents a transformative opportunity to significantly enhance efficiency and reduce costs. By the end of 2023, AI stroke diagnosis technology will be available in every stroke center in the UK, exemplifying the rapid advancements in this field. Notably, in the NHS, 34% of AI applications are dedicated to diagnosis, highlighting its growing role in clinical settings. The financial implications are substantial, with AI projected to save USD 16 billion by minimizing medication dosing errors and contributing to a reduction of healthcare costs by USD 13 billion by 2025. This capability allows healthcare providers to receive immediate alerts about critical changes in a patient’s condition, enabling quicker interventions and better patient outcomes. Moreover, edge AI software can enhance operational efficiencies in hospitals by optimizing the use of medical devices and predicting equipment failures before they occur, thus improving patient care and reducing costs. With its ability to transform industries and improve decision-making processes, the Edge AI software market is poised for significant growth and innovation in the coming years.
Drivers
The need for immediate data processing is increasing, especially in industries such as healthcare, autonomous vehicles, manufacturing, and telecommunications.
Edge AI processes data nearer to its origin, decreasing latency significantly in comparison to cloud-based systems. In sectors such as healthcare, fast-response applications are essential for real-time monitoring and diagnosing patient conditions, while in autonomous vehicles, immediate decision-making is crucial for ensuring safety. Edge AI eliminates the need to send data to the cloud for processing, which helps avoid delays in receiving a response. Moreover, this pattern is upheld by the fast growth of the Internet of Things (IoT), in which billions of interconnected devices necessitate quick and effective data processing at the edge rather than depending on centralized cloud infrastructure. The merging of IoT and edge AI presents a chance to enable innovative, quick-to-respond applications, driving growth in this industry.
The advancement of 5G technology is greatly enhancing edge AI through facilitating quicker, more dependable, and reduced-latency connectivity.
With the global expansion of 5G infrastructure, it becomes increasingly important to quickly and efficiently process and transmit data at the edge. In edge AI systems, such as autonomous driving, industrial automation, and smart cities, 5G's low-latency capabilities are essential for real-time processing. In autonomous vehicles, 5G can allow immediate communication between vehicles and infrastructure, enabling the sharing of large amounts of data for navigation, safety, and traffic control (known as V2X). Likewise, smart cities depend on edge AI enabled by 5G for traffic control, monitoring energy usage, and improving public safety. The integration of edge AI with 5G is anticipated to generate a variety of innovative applications, greatly propelling market growth.
Restraints
Limitations in edge ai hardware impede the widespread adoption of advanced ai models.
Even though AI-specific hardware has enhanced the computational abilities of edge devices, they still has restrictions when compared to centralized cloud-based systems. Devices at the edge, like sensors and mobile phones, frequently face restrictions in power, memory, and storage capacities, which poses challenges for running extensive AI models. Despite advancements in enhancing energy efficiency, AI chips still face a discrepancy between the capabilities of edge devices and the processing power of the cloud. Utilizing complex deep learning models or conducting extensive neural network training on edge devices remains unattainable for most. Moreover, there is still worry about energy usage, especially for electrical devices such as drones or self-operating robots, as utilizing AI algorithms may cause batteries to run out quickly. These constraints on processing power limit the range of AI models that can be utilized at the edge, impeding the wider adoption of Edge AI software.
By Offering
The Solutions led the market in 2023 with over 79% market share, mainly because it offers companies cutting-edge software frameworks, tools, and platforms for enabling real-time AI processing on edge devices. These solutions assist businesses in implementing AI algorithms at the point where data is created, resulting in decreased latency and enhanced operational productivity. For instance, companies such as NVIDIA provide their Jetson AI platform, enabling developers to incorporate AI capabilities on edge devices in sectors like automotive, healthcare, and retail.
The Services segment is accounted to become the fastest-growing segment during 2024-2032, fueled by the growing demand for consultation, integration, and maintenance of edge AI deployments. Businesses need skilled services to successfully incorporate, troubleshoot, and enhance their AI systems as they work towards integrating AI into their operations. For instance, Microsoft Azure offers AI Edge services for assisting companies in deploying AI models on edge devices with seamless integration, while IBM provides support services for optimizing AI workloads on edge devices in industries such as manufacturing and logistics.
By Data Type
Video and Image Recognition dominated the market in 2023 with a 32% market share, primarily because of its extensive use in various industries including security, healthcare, and retail. The need for real-time solutions in image analysis, object detection, and facial recognition has greatly increased. Amazon (AWS DeepLens) and Google (Google Cloud's Vision AI) are using video and image recognition to improve customer experiences and operational efficiency. For example, in self-driving cars, companies such as Tesla depend greatly on this technology to analyze visual information for driving and security purposes.
The audio data segment is anticipated to have the fastest CAGR during 2024-2032, due to the rising popularity of voice-controlled devices such as Amazon Alexa and Google Assistant, with Audio Data being the fastest-growing segment. The increasing need for hands-free technology in consumer electronics, automotive, and healthcare industries is driving the growth of this sector. Companies like Nuance Communications and similar companies offer AI-based audio solutions for instant speech recognition in the healthcare and automotive sectors.
North America dominated in 2023 with a 35% market share. The leadership of the area is influenced by the quick integration of AI technologies, solid IT infrastructure, and substantial funding from major tech companies such as IBM, Google, and Microsoft. The high level of industries like automotive, healthcare, and manufacturing boosts the need for edge AI software. Tesla uses edge AI for its autonomous vehicles, while GE Healthcare applies AI for predictive diagnostics at the edge. Moreover, efforts by the government to enhance AI integration, like the U.S. National AI Initiative, further solidify the region's leadership in this sector.
Asia-Pacific region is projected to grow at the fastest CAGR during 2024-2032, due to increased digitalization, higher use of IoT, and rising investments in smart cities, with a focus on countries such as China, Japan, and South Korea. Huawei and Samsung are working on edge AI solutions for areas like telecommunications and consumer electronics. The increasing use of edge AI in manufacturing automation and retail, especially in China, continues to drive growth in the APAC region.
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The major key players in the Edge AI Software Market are:
NVIDIA Corporation (NVIDIA Jetson, DeepStream SDK)
Intel Corporation (OpenVINO, Movidius VPU)
Qualcomm Technologies (Snapdragon Neural Processing Engine, Qualcomm AI Stack)
Google LLC (TensorFlow Lite, Edge TPU)
Microsoft Corporation (Azure IoT Edge, Custom Vision AI)
Amazon Web Services (AWS) (AWS IoT Greengrass, AWS SageMaker Edge)
Xilinx, Inc. (Vitis AI, Zynq UltraScale+ MPSoC)
Huawei Technologies Co., Ltd. (Ascend AI Processors, MindSpore)
Arm Holdings (Arm Cortex-M, Arm NN SDK)
Texas Instruments Incorporated (TDA4VM Processors, Edge AI Studio)
IBM Corporation (IBM Watson IoT, IBM Maximo Visual Inspection)
Cisco Systems, Inc. (Cisco Edge Intelligence, Cisco Kinetic)
Siemens AG (MindSphere, Industrial Edge)
Edge Impulse, Inc. (Edge Impulse Studio, EON Tuner)
Rockwell Automation (FactoryTalk, Connected Services)
Samsung Electronics (Samsung ARTIK, SmartThings Cloud)
Fujitsu Limited (Fujitsu Edge AI, Fujitsu Human Centric AI Zinrai)
SAP SE (SAP Leonardo, SAP Edge Services)
Palo Alto Networks (Cortex XSOAR, Prisma Cloud)
C3.ai (C3 AI Suite, C3 AI Ex Machina)
Advantech Co., Ltd.
FogHorn Systems
Lantronix, Inc.
Edge Impulse, Inc.
Axiomtek Co., Ltd.
Azion Technologies
Samsara Inc.
Octonion SA
Imagimob AB
Kontron AG
July 2024: NVIDIA introduced its AI Workbench to simplify the process of building, testing, and deploying generative AI models across edge devices. This solution helps developers run AI models on various platforms, enabling a seamless transition from development to edge deployment.
March 2024: Qualcomm launched its Snapdragon Smart Platforms, which leverage AI to enhance edge computing capabilities for industries like automotive, IoT, and healthcare. The platform includes enhanced AI-based inference capabilities, designed to bring advanced Edge AI solutions to a range of devices.
November 2023: AWS released IoT Greengrass 3.0, an upgrade to its edge AI software for IoT devices. The new version supports enhanced machine learning models and better integration with cloud AI services, providing real-time intelligence on edge devices for industries like manufacturing and logistics.
February 2024: Microsoft launched an updated version of its Azure Percept platform, designed to streamline the deployment of AI models to edge devices. The update provides improved computer vision and voice recognition models, with built-in support for Azure Cognitive Services at the edge.
| Report Attributes | Details |
|---|---|
| Market Size in 2023 | USD 1.33 Billion |
| Market Size by 2032 | USD 13.67 Billion |
| CAGR | CAGR of 29.58% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Offering (Solutions, Services) • By Data Type (Audio Data, Mobile Data, Sensor Data, Biometric Data, Speech Recognition, Video and Image Recognition, Others) • By Vertical (BFSI, Government & Public Sector, Healthcare & Life Sciences, IT & Telecommunications, Energy & Utilities, Manufacturing, Automotive, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | NVIDIA Corporation, Intel Corporation, Qualcomm Technologies, Google LLC, Microsoft Corporation, Amazon Web Services (AWS), Xilinx, Inc., Huawei Technologies Co., Ltd., Arm Holdings, Texas Instruments Incorporated, IBM Corporation, Cisco Systems, Inc., Siemens AG, Edge Impulse, Inc., Rockwell Automation, Samsung Electronics, Fujitsu Limited, SAP SE, Palo Alto Networks, C3.ai |
| Key Drivers | • The need for immediate data processing is increasing, especially in industries such as healthcare, autonomous vehicles, manufacturing, and telecommunications. • The advancement of 5G technology is greatly enhancing edge AI through facilitating quicker, more dependable, and reduced-latency connectivity. |
| RESTRAINTS | • Limitations in edge ai hardware impede the widespread adoption of advanced ai models. |
Ans: The Edge AI Software Market is expected to grow at a CAGR of 14.42% during 2024-2032.
Ans: - Concerns about privacy and security in relation to edge AI solutions.
Ans: - The segments covered in the Edge AI Software Market report for study are On the Basis of Industry Vertical, Component, Data Source, and Application.
Ans: - North America held the highest market share in 2023, and it is predicted to develop rapidly over the forecast period.
Ans: - The primary growth tactics of Edge AI Software market participants include merger and acquisition, business expansion, and product launch.
Table of Content
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Edge AI Software Adoption Rate, by Region (2023)
5.2 Edge AI Software Technology Metrics, by Region
5.3 Customer Retention Rates (2023)
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and Supply Chain Strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Edge AI Software Market Segmentation, By Offering
7.1 Chapter Overview
7.2 Solutions
7.2.1 Solutions Market Trends Analysis (2020-2032)
7.2.2 Solutions Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Services
7.3.1 Services Market Trends Analysis (2020-2032)
7.3.2 Services Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Edge AI Software Market Segmentation, By Data Type
8.1 Chapter Overview
8.2 Audio Data
8.2.1 8 Audio Data Market Trends Analysis (2020-2032)
8.2.2 8 Audio Data Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Mobile Data
8.3.1 Mobile Data Market Trends Analysis (2020-2032)
8.3.2 Mobile Data Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Sensor Data
8.4.1 Sensor Data Market Trends Analysis (2020-2032)
8.4.2 Sensor Data Market Size Estimates and Forecasts to 2032 (USD Billion)
8.5 Biometric Data
8.5.1 Biometric Data Market Trends Analysis (2020-2032)
8.5.2 Biometric Data Market Size Estimates and Forecasts to 2032 (USD Billion)
8.6 Speech Recognition
8.6.1 Speech Recognition Market Trends Analysis (2020-2032)
8.6.2 Speech Recognition Market Size Estimates and Forecasts to 2032 (USD Billion)
8.7 Video and Image Recognition
8.7.1 Video and Image Recognition Market Trends Analysis (2020-2032)
8.7.2 Video and Image Recognition Market Size Estimates and Forecasts to 2032 (USD Billion)
8.8 Others
8.8.1 Others Market Trends Analysis (2020-2032)
8.8.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Edge AI Software Market Segmentation, by Vertical
9.1 Chapter Overview
9.2 BFSI
9.2.1 BFSI Market Trends Analysis (2020-2032)
9.2.2 BFSI Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Government & Public Sector
9.3.1 Government & Public Sector Market Trends Analysis (2020-2032)
9.3.2 Government & Public Sector Market Size Estimates and Forecasts to 2032 (USD Billion)
9.4 Healthcare & Life Sciences
9.4.1 Healthcare & Life Sciences Market Trends Analysis (2020-2032)
9.4.2 Healthcare & Life Sciences Market Size Estimates and Forecasts to 2032 (USD Billion)
9.5 IT & Telecommunications
9.5.1 IT & Telecommunications Market Trends Analysis (2020-2032)
9.5.2 IT & Telecommunications Market Size Estimates and Forecasts to 2032 (USD Billion)
9.6 Energy & Utilities
9.6.1 Energy & Utilities Market Trends Analysis (2020-2032)
9.6.2 Energy & Utilities Market Size Estimates and Forecasts to 2032 (USD Billion)
9.7 Manufacturing
9.7.1 Manufacturing Market Trends Analysis (2020-2032)
9.7.2 Manufacturing Market Size Estimates and Forecasts to 2032 (USD Billion)
9.8 Automotive
9.8.1 Automotive Market Trends Analysis (2020-2032)
9.8.2 Automotive Market Size Estimates and Forecasts to 2032 (USD Billion)
9.9 Others
9.9.1 Others Market Trends Analysis (2020-2032)
9.9.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America Edge AI Software Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.2.3 North America Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.2.4 North America Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.2.5 North America Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.2.6 USA
10.2.6.1 USA Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.2.6.2 USA Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.2.6.3 USA Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.2.7 Canada
10.2.7.1 Canada Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.2.7.2 Canada Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.2.7.3 Canada Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.2.8 Mexico
10.2.8.1 Mexico Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.2.8.2 Mexico Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.2.8.3 Mexico Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe Edge AI Software Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.1.3 Eastern Europe Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.3.1.4 Eastern Europe Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.3.1.5 Eastern Europe Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.3.1.6 Poland
10.3.1.6.1 Poland Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.3.1.6.2 Poland Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.3.1.6.3 Poland Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.3.1.7 Romania
10.3.1.7.1 Romania Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.3.1.7.2 Romania Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.3.1.7.3 Romania Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.3.1.8 Hungary
10.3.1.8.1 Hungary Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.3.1.8.2 Hungary Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.3.1.8.3 Hungary Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.3.1.9 Turkey
10.3.1.9.1 Turkey Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.3.1.9.2 Turkey Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.3.1.9.3 Turkey Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.3.1.10.2 Rest of Eastern Europe Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.3.1.10.3 Rest of Eastern Europe Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe Edge AI Software Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.2.3 Western Europe Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.3.2.4 Western Europe Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.3.2.5 Western Europe Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.3.2.6 Germany
10.3.2.6.1 Germany Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.3.2.6.2 Germany Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.3.2.6.3 Germany Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.3.2.7 France
10.3.2.7.1 France Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.3.2.7.2 France Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.3.2.7.3 France Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.3.2.8 UK
10.3.2.8.1 UK Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.3.2.8.2 UK Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.3.2.8.3 UK Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.3.2.9 Italy
10.3.2.9.1 Italy Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.3.2.9.2 Italy Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.3.2.9.3 Italy Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.3.2.10 Spain
10.3.2.10.1 Spain Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.3.2.10.2 Spain Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.3.2.10.3 Spain Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.3.2.11.2 Netherlands Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.3.2.11.3 Netherlands Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.3.2.12.2 Switzerland Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.3.2.12.3 Switzerland Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.3.2.13 Austria
10.3.2.13.1 Austria Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.3.2.13.2 Austria Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.3.2.13.3 Austria Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.3.2.14.2 Rest of Western Europe Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.3.2.14.3 Rest of Western Europe Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.4 Asia-Pacific
10.4.1 Trends Analysis
10.4.2 Asia-Pacific Edge AI Software Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.4.3 Asia-Pacific Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.4.4 Asia-Pacific Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.4.5 Asia-Pacific Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.4.6 China
10.4.6.1 China Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.4.6.2 China Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.4.6.3 China Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.4.7 India
10.4.7.1 India Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.4.7.2 India Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.4.7.3 India Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.4.8 Japan
10.4.8.1 Japan Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.4.8.2 Japan Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.4.8.3 Japan Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.4.9 South Korea
10.4.9.1 South Korea Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.4.9.2 South Korea Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.4.9.3 South Korea Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.4.10 Vietnam
10.4.10.1 Vietnam Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.4.10.2 Vietnam Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.4.10.3 Vietnam Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.4.11 Singapore
10.4.11.1 Singapore Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.4.11.2 Singapore Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.4.11.3 Singapore Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.4.12 Australia
10.4.12.1 Australia Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.4.12.2 Australia Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.4.12.3 Australia Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.4.13 Rest of Asia-Pacific
10.4.13.1 Rest of Asia-Pacific Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.4.13.2 Rest of Asia-Pacific Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.4.13.3 Rest of Asia-Pacific Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East Edge AI Software Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.1.3 Middle East Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.5.1.4 Middle East Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.5.1.5 Middle East Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.5.1.6 UAE
10.5.1.6.1 UAE Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.5.1.6.2 UAE Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.5.1.6.3 UAE Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.5.1.7 Egypt
10.5.1.7.1 Egypt Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.5.1.7.2 Egypt Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.5.1.7.3 Egypt Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.5.1.8.2 Saudi Arabia Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.5.1.8.3 Saudi Arabia Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.5.1.9 Qatar
10.5.1.9.1 Qatar Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.5.1.9.2 Qatar Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.5.1.9.3 Qatar Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.5.1.10.2 Rest of Middle East Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.5.1.10.3 Rest of Middle East Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa Edge AI Software Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.2.3 Africa Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.5.2.4 Africa Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.5.2.5 Africa Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.5.2.6 South Africa
10.5.2.6.1 South Africa Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.5.2.6.2 South Africa Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.5.2.6.3 South Africa Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.5.2.7.2 Nigeria Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.5.2.7.3 Nigeria Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.5.2.8.2 Rest of Africa Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.5.2.8.3 Rest of Africa Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America Edge AI Software Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.6.3 Latin America Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.6.4 Latin America Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.6.5 Latin America Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.6.6 Brazil
10.6.6.1 Brazil Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.6.6.2 Brazil Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.6.6.3 Brazil Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.6.7 Argentina
10.6.7.1 Argentina Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.6.7.2 Argentina Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.6.7.3 Argentina Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.6.8 Colombia
10.6.8.1 Colombia Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.6.8.2 Colombia Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.6.8.3 Colombia Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin America Edge AI Software Market Estimates and Forecasts, By Offering (2020-2032) (USD Billion)
10.6.9.2 Rest of Latin America Edge AI Software Market Estimates and Forecasts, By Data Type (2020-2032) (USD Billion)
10.6.9.3 Rest of Latin America Edge AI Software Market Estimates and Forecasts, by Vertical (2020-2032) (USD Billion)
11. Company Profiles
11.1 NVIDIA Corporation
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Products/ Services Offered
11.1.4 SWOT Analysis
11.2 Intel Corporation
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Products/ Services Offered
11.2.4 SWOT Analysis
11.3 Qualcomm Technologies
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Products/ Services Offered
11.3.4 SWOT Analysis
11.4 Google LLC
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Products/ Services Offered
11.4.4 SWOT Analysis
11.5 Microsoft Corporation
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Products/ Services Offered
11.5.4 SWOT Analysis
11.6 Amazon Web Services (AWS)
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Products/ Services Offered
11.6.4 SWOT Analysis
11.7 Xilinx, Inc.
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Products/ Services Offered
11.7.4 SWOT Analysis
11.8 Huawei Technologies Co., Ltd.
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Products/ Services Offered
11.8.4 SWOT Analysis
11.9 Arm Holdings
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Products/ Services Offered
11.9.4 SWOT Analysis
11.10 Texas Instruments Incorporated
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Products/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Type:
Simple Programmable Logic Devices
Complex Programmable Logic Devices
By Product Type:
8 Bits
16 Bits
32 Bits
By Application:
Telecommunication
Automotive
Consumer Electronics
Healthcare
Industrial
Others
Request for Segment Customization as per your Business Requirement: Segment Customization Request
REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Product Matrix which gives a detailed comparison of the product portfolio of each company
Geographic Analysis
Additional countries in any of the regions
Company Information
Detailed analysis and profiling of additional market players (Up to five)
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