The edge AI market is anticipated to expand at a CAGR of 20.8% during the forecast period. According to FMI, the market is anticipated to be valued at US$ 39,618.3 Million by 2032, up from US$ 5,970.7 Million in 2022.
Highlighting Favorable Factors that Are Advancing the Market for Edge AI:
The demand for edge AI is growing higher in the end-user industries, such as autonomous, predictive maintenance, and the growing telecommunication industry.
Top IT companies are likely to increase the adoption of edge AI due to growing needs for edge computing during the foreseen time.
Moreover, the rising workload among end-use sectors and the increase in intelligence applications are anticipated to boost the edge AI market size during the forecast period.
Edge AI software is used by top organizers to access data and respond in real time, which is likely to increase the edge AI market growth. It limits work time with its better-performing activities, including real-time data processing, efficiency, and accuracy, which are likely to increase the adoption of edge AI. In addition, rising IoT and edge AI software devices are anticipated to reduce costs and are surging the market during the forecast period.
Innovation of 5G Networking Boost the Market for Edge AI:
Criminal and Unlawful Activities May Decline the Edge AI Market Growth:
The rising unlawful activities and environmental damages are the factors that decline the edge AI market growth during the forecast period. Moreover, rising security threats such as data breaches, cyberattacks, and the stealing of official data in government and top private companies have declined the market share.
In addition, rising risks such as insider threats and software viruses, among others, are declining the market size. Lacking IT professionals is also a key factor that may hamper the market share in recent years.
| Attributes | Details |
|---|---|
| Edge AI Market (2022) | US$ 5,970.7 Million |
| Edge AI Market (2032) | US$ 39,618.3 Million |
| Edge AI Market CAGR (2022 to 2032) | 20.8% |
Don't pay for what you don't need
Customize your report by selecting specific countries or regions and save 30%!
According to the FMI report, the market for edge AI stood at a valuation of US$ 5,009.0 Million, capturing a CAGR of 19.0% in the historical period of 2021. However, the market is likely to be valued at US$ 39,618.3 Million with a CAGR of 20.8% during the forecast period.
The current market is growing at a high pace securing a higher share during the forecast period. The market is likely to boost higher as compared to its historic size due to advanced AI technologies during the foreseen time. The rising telecommunication sector, along with the IT sector flourishing the market at another height, are increasing the market size in the forecast period.
The innovations of devices in the last decade are expected to surge the market opportunities during the forecast period. On the other hand, apart from the advanced technologies in the historical period, the market was capturing a better share, as per FMI experts.
Based on application, the market is divided into categories such as Video Surveillance, remote monitoring, and predictive Maintenance, among others. In these, video surveillance dominates the market by capturing a higher share during the forecast period. Video surveillance is likely to secure a share of 30.0% during the forecast period. Growing high-tech all around the globe and rising security concerns boost the adoption of video surveillance during the forecast period.
Moreover, analysis of face recognition in fraud and criminal activities in public places is likely to increase the demand for video surveillance by government bodies during the forecast period.
Based on components, the market is categorized into hardware, software, and services. In these categories, the hardware component is leading the market by securing a maximum share of 45% during the forecast period. Government bodies and multinational companies are increasing the demand for edge AI hardware components for security purposes and storing large data files during the forecast period. Moreover, demand for hardware components is growing due to the storage of internal memory, running programs, and communicating during the foreseen time.
Principal Consultant
The USA is leading the global market by securing the highest share of 23.4% during the forecast period. The rising of IoT, ML, AI, advanced learning technologies, and the growing adoption of edge AI are growing the market share. In addition, the rising 5G networks, easy to establish, better data controls, and limited operating cost are likely to flourish the USA edge AI market share during the forecast period.
Apart from the USA, Canada is the second leading nation in North America, which contributes a relevant share to uplift the market size. Several organizations, the rising IT sector, and new technologies adopted by key vendors are growing the adoption of edge AI in these countries.
The United Kingdom is likely to capture a significant share of the market through the rising adoption of IoT in the finance sector during the forecast period. The growing numbers of public sector and manufacturing industries are accelerating the demand for edge AI during the foreseen time. In addition, the adoption of surveillance cameras and drones by government bodies related to security purposes is likely to boost the United Kingdom's edge AI market size.
On the other hand, Germany is leading the European market by capturing 12.5% of the share in the global market during the foreseen period. Moreover, the presence of the automobile sector is advancing the adoption of edge AI in recent years.
Asia Pacific region is rapidly growing its market by capturing a relevant share of the global market. The countries such as China, Korea, India, and Japan drive the region by contributing a key role in the market during the forecast period.
| Korea | Korea is one of the leading nations in the Asia-Pacific that contributes a significant role in the market by rising numbers of smartphone users during the forecast period. In addition, the growing electronic and automobile industries are likely to increase the adoption of advanced smart technologies which is likely to lift the market share in recent years. Growing rapid digital communication and the presence of key players are propelling the market growth during foreseen time. Moreover, semiconductor industries are also investing in Artificial Intelligence which is anticipated to increase the Korean edge AI market growth. |
|---|---|
| Japan | Japan is another nation in the Asia-Pacific that boost the market size by rising numbers of key vendors that invested in AI technology in recent years. The development of industrial robots by adopting AI technology by key manufacturers is flourishing the market size. Japan is a hub of innovative technology, and the demand for edge AI software is rising due to preferring wearable devices in the nation. Moreover, several end-use companies such as distribution and services, and manufacturing and resources are accelerating the global market growth during the forecast period. |
Get the data you need at a Fraction of the cost
Personalize your report by choosing insights you need
and save 40%!
Top Start-up Companies Are Adding Value in the Edge AI Market
Globally, several start-up companies are popping up in the market to increase the adoption of edge AI technologies to be widely used in several end-use industries. However, some of the start-ups are who put a key role in the global market are as follows:
| Start-ups | Graphcore (United Kingdom) |
|---|---|
| Founded Year | 2016 |
| Innovations | Graphcore is a USA-based start-up company that hit a valuation of US$ 1 billion in recent years. It is the first semiconductor start-up in western countries designated as a unicorn. Unicorn developed IPU chips that include on-chip memory and terabytes of memory bandwidth that can store large data and also allow machine learning to be stored in these chips in recent years. |
| Start-ups | Groq (USA) |
|---|---|
| Founded Year | 2016 |
| Innovations | Groq is a USA-based start-up company that provides real-time AI solutions and has been valued at nearly US$ 67 Million during the forecast period. The company developed an enormous chip that is capable to provide 1,000 TOPS. However, Groq is the main purpose for autonomous vehicles and data-center applications with its advanced developed TSP chip. |
| Start-ups | Cambricon (China) |
|---|---|
| Founded Year | 2016 |
| Innovations | Cambricon is a Chinese-based start-up company that provides AI chips to end-use industries. The company develops Instruction Set Architecture (ISA) that integrates matrix, data transfer, scalar, logical, and other control instructions. In addition, the company’s first product named Cambricon-1A is used for endpoint devices including wearable devices and drones. Moreover, the company is likely to capture a valuation of US$ 2.5 Billion in the coming forecast period. |
The market is fragmented by the number of key players present in the region. These players are innovating several technologies to build high-tech devices in various industries that are likely to attract consumers' demand. Nowadays, the key market players are contributing key roles by investing a large amount of money in developing better AI products and devices. These players are adopting several marketing methodologies to acquire a lion’s share of the market through mergers, acquisitions, partnerships, and product launches.
Recent Developments in the Edge AI:
The edge AI market is valued at US$ 5,970.7 Million in 2022.
The edge AI market is likely to register a CAGR of 20.8% during the forecast period.
North America holds the most opportunities in the edge AI market.
1. Executive Summary | Edge AI Market 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2017 to 2021 and Forecast, 2022 to 2032 4.1. Historical Market Size Value (US$ Million) Analysis, 2017 to 2021 4.2. Current and Future Market Size Value (US$ Million) Projections, 2022 to 2032 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Component 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2017 to 2021 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2022 to 2032 5.3.1. Hardware 5.3.1.1. Graphics Processing Value (US$ Million) (GPU) 5.3.1.2. Application Specific Integrated Circuit (ASIC) 5.3.1.3. Central Processing Value (US$ Million) (CPU) 5.3.1.4. Field-Programmable Gate Array (FPGA) 5.3.2. Software 5.3.3. Service 5.3.3.1. Training & Consulting 5.3.3.2. Support & Maintenance 5.3.3.3. System Integration and Testing 5.4. Y-o-Y Growth Trend Analysis By Component, 2017 to 2021 5.5. Absolute $ Opportunity Analysis By Component, 2022 to 2032 6. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By End-use 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By End-use, 2017 to 2021 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End-use, 2022 to 2032 6.3.1. Manufacturing 6.3.2. Healthcare 6.3.3. BSFI 6.3.4. Government 6.3.5. Retail & e-commerce 6.3.6. Telecommunication 6.3.7. Transport & logistics 6.3.8. Others 6.4. Y-o-Y Growth Trend Analysis By End-use, 2017 to 2021 6.5. Absolute $ Opportunity Analysis By End-use, 2022 to 2032 7. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Application 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By Application , 2017 to 2021 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2022 to 2032 7.3.1. Video Surveillance 7.3.2. Remote Monitoring 7.3.3. Predictive Maintenance 7.3.4. Others 7.4. Y-o-Y Growth Trend Analysis By Application, 2017 to 2021 7.5. Absolute $ Opportunity Analysis By Application, 2022 to 2032 8. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Region 8.1. Introduction 8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2017 to 2021 8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2022 to 2032 8.3.1. North America 8.3.2. Latin America 8.3.3. Europe 8.3.4. South Asia 8.3.5. East Asia 8.3.6. Oceania 8.3.7. Middle East and Africa(MEA) 8.4. Market Attractiveness Analysis By Region 9. North America Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021 9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032 9.2.1. By Country 9.2.1.1. USA 9.2.1.2. Canada 9.2.2. By Component 9.2.3. By End-use 9.2.4. By Application 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Component 9.3.3. By End-use 9.3.4. By Application 9.4. Key Takeaways 10. Latin America Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032 10.2.1. By Country 10.2.1.1. Brazil 10.2.1.2. Mexico 10.2.1.3. Rest of Latin America 10.2.2. By Component 10.2.3. By End-use 10.2.4. By Application 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Component 10.3.3. By End-use 10.3.4. By Application 10.4. Key Takeaways 11. Europe Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032 11.2.1. By Country 11.2.1.1. Germany 11.2.1.2. United Kingdom 11.2.1.3. France 11.2.1.4. Spain 11.2.1.5. Italy 11.2.1.6. Rest of Europe 11.2.2. By Component 11.2.3. By End-use 11.2.4. By Application 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Component 11.3.3. By End-use 11.3.4. By Application 11.4. Key Takeaways 12. South Asia Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032 12.2.1. By Country 12.2.1.1. India 12.2.1.2. Malaysia 12.2.1.3. Singapore 12.2.1.4. Thailand 12.2.1.5. Rest of South Asia 12.2.2. By Component 12.2.3. By End-use 12.2.4. By Application 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Component 12.3.3. By End-use 12.3.4. By Application 12.4. Key Takeaways 13. East Asia Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032 13.2.1. By Country 13.2.1.1. China 13.2.1.2. Japan 13.2.1.3. South Korea 13.2.2. By Component 13.2.3. By End-use 13.2.4. By Application 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Component 13.3.3. By End-use 13.3.4. By Application 13.4. Key Takeaways 14. Oceania Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032 14.2.1. By Country 14.2.1.1. Australia 14.2.1.2. New Zealand 14.2.2. By Component 14.2.3. By End-use 14.2.4. By Application 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Component 14.3.3. By End-use 14.3.4. By Application 14.4. Key Takeaways 15. MEA Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021 15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032 15.2.1. By Country 15.2.1.1. GCC Countries 15.2.1.2. South Africa 15.2.1.3. Israel 15.2.1.4. Rest of Middle East and Africa(MEA) 15.2.2. By Component 15.2.3. By End-use 15.2.4. By Application 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Component 15.3.3. By End-use 15.3.4. By Application 15.4. Key Takeaways 16. Key Countries Market Analysis 16.1. USA 16.1.1. Pricing Analysis 16.1.2. Market Share Analysis, 2021 16.1.2.1. By Component 16.1.2.2. By End-use 16.1.2.3. By Application 16.2. Canada 16.2.1. Pricing Analysis 16.2.2. Market Share Analysis, 2021 16.2.2.1. By Component 16.2.2.2. By End-use 16.2.2.3. By Application 16.3. Brazil 16.3.1. Pricing Analysis 16.3.2. Market Share Analysis, 2021 16.3.2.1. By Component 16.3.2.2. By End-use 16.3.2.3. By Application 16.4. Mexico 16.4.1. Pricing Analysis 16.4.2. Market Share Analysis, 2021 16.4.2.1. By Component 16.4.2.2. By End-use 16.4.2.3. By Application 16.5. Germany 16.5.1. Pricing Analysis 16.5.2. Market Share Analysis, 2021 16.5.2.1. By Component 16.5.2.2. By End-use 16.5.2.3. By Application 16.6. United Kingdom 16.6.1. Pricing Analysis 16.6.2. Market Share Analysis, 2021 16.6.2.1. By Component 16.6.2.2. By End-use 16.6.2.3. By Application 16.7. France 16.7.1. Pricing Analysis 16.7.2. Market Share Analysis, 2021 16.7.2.1. By Component 16.7.2.2. By End-use 16.7.2.3. By Application 16.8. Spain 16.8.1. Pricing Analysis 16.8.2. Market Share Analysis, 2021 16.8.2.1. By Component 16.8.2.2. By End-use 16.8.2.3. By Application 16.9. Italy 16.9.1. Pricing Analysis 16.9.2. Market Share Analysis, 2021 16.9.2.1. By Component 16.9.2.2. By End-use 16.9.2.3. By Application 16.10. India 16.10.1. Pricing Analysis 16.10.2. Market Share Analysis, 2021 16.10.2.1. By Component 16.10.2.2. By End-use 16.10.2.3. By Application 16.11. Malaysia 16.11.1. Pricing Analysis 16.11.2. Market Share Analysis, 2021 16.11.2.1. By Component 16.11.2.2. By End-use 16.11.2.3. By Application 16.12. Singapore 16.12.1. Pricing Analysis 16.12.2. Market Share Analysis, 2021 16.12.2.1. By Component 16.12.2.2. By End-use 16.12.2.3. By Application 16.13. Thailand 16.13.1. Pricing Analysis 16.13.2. Market Share Analysis, 2021 16.13.2.1. By Component 16.13.2.2. By End-use 16.13.2.3. By Application 16.14. China 16.14.1. Pricing Analysis 16.14.2. Market Share Analysis, 2021 16.14.2.1. By Component 16.14.2.2. By End-use 16.14.2.3. By Application 16.15. Japan 16.15.1. Pricing Analysis 16.15.2. Market Share Analysis, 2021 16.15.2.1. By Component 16.15.2.2. By End-use 16.15.2.3. By Application 16.16. South Korea 16.16.1. Pricing Analysis 16.16.2. Market Share Analysis, 2021 16.16.2.1. By Component 16.16.2.2. By End-use 16.16.2.3. By Application 16.17. Australia 16.17.1. Pricing Analysis 16.17.2. Market Share Analysis, 2021 16.17.2.1. By Component 16.17.2.2. By End-use 16.17.2.3. By Application 16.18. New Zealand 16.18.1. Pricing Analysis 16.18.2. Market Share Analysis, 2021 16.18.2.1. By Component 16.18.2.2. By End-use 16.18.2.3. By Application 16.19. GCC Countries 16.19.1. Pricing Analysis 16.19.2. Market Share Analysis, 2021 16.19.2.1. By Component 16.19.2.2. By End-use 16.19.2.3. By Application 16.20. South Africa 16.20.1. Pricing Analysis 16.20.2. Market Share Analysis, 2021 16.20.2.1. By Component 16.20.2.2. By End-use 16.20.2.3. By Application 16.21. Israel 16.21.1. Pricing Analysis 16.21.2. Market Share Analysis, 2021 16.21.2.1. By Component 16.21.2.2. By End-use 16.21.2.3. By Application 17. Market Structure Analysis 17.1. Competition Dashboard 17.2. Competition Benchmarking 17.3. Market Share Analysis of Top Players 17.3.1. By Regional 17.3.2. By Component 17.3.3. By End-use 17.3.4. By Application 18. Competition Analysis 18.1. Competition Deep Dive 18.1.1. Anagog Ltd. 18.1.1.1. Overview 18.1.1.2. Product Portfolio 18.1.1.3. Profitability by Market Segments 18.1.1.4. Sales Footprint 18.1.1.5. Strategy Overview 18.1.1.5.1. Marketing Strategy 18.1.2. Amazon Web Services (AWS) 18.1.2.1. Overview 18.1.2.2. Product Portfolio 18.1.2.3. Profitability by Market Segments 18.1.2.4. Sales Footprint 18.1.2.5. Strategy Overview 18.1.2.5.1. Marketing Strategy 18.1.3. Dell 18.1.3.1. Overview 18.1.3.2. Product Portfolio 18.1.3.3. Profitability by Market Segments 18.1.3.4. Sales Footprint 18.1.3.5. Strategy Overview 18.1.3.5.1. Marketing Strategy 18.1.4. Google (Alphabet Inc.) 18.1.4.1. Overview 18.1.4.2. Product Portfolio 18.1.4.3. Profitability by Market Segments 18.1.4.4. Sales Footprint 18.1.4.5. Strategy Overview 18.1.4.5.1. Marketing Strategy 18.1.5. Gorilla Technology Group 18.1.5.1. Overview 18.1.5.2. Product Portfolio 18.1.5.3. Profitability by Market Segments 18.1.5.4. Sales Footprint 18.1.5.5. Strategy Overview 18.1.5.5.1. Marketing Strategy 18.1.6. Huawei Technologies Co., Ltd. 18.1.6.1. Overview 18.1.6.2. Product Portfolio 18.1.6.3. Profitability by Market Segments 18.1.6.4. Sales Footprint 18.1.6.5. Strategy Overview 18.1.6.5.1. Marketing Strategy 18.1.7. IBM Corporation 18.1.7.1. Overview 18.1.7.2. Product Portfolio 18.1.7.3. Profitability by Market Segments 18.1.7.4. Sales Footprint 18.1.7.5. Strategy Overview 18.1.7.5.1. Marketing Strategy 18.1.8. Imagimob AB 18.1.8.1. Overview 18.1.8.2. Product Portfolio 18.1.8.3. Profitability by Market Segments 18.1.8.4. Sales Footprint 18.1.8.5. Strategy Overview 18.1.8.5.1. Marketing Strategy 18.1.9. Intel Corporation 18.1.9.1. Overview 18.1.9.2. Product Portfolio 18.1.9.3. Profitability by Market Segments 18.1.9.4. Sales Footprint 18.1.9.5. Strategy Overview 18.1.9.5.1. Marketing Strategy 18.1.10. Microsoft Corporation 18.1.10.1. Overview 18.1.10.2. Product Portfolio 18.1.10.3. Profitability by Market Segments 18.1.10.4. Sales Footprint 18.1.10.5. Strategy Overview 18.1.10.5.1. Marketing Strategy 18.1.11. MediaTek Inc 18.1.11.1. Overview 18.1.11.2. Product Portfolio 18.1.11.3. Profitability by Market Segments 18.1.11.4. Sales Footprint 18.1.11.5. Strategy Overview 18.1.11.5.1. Marketing Strategy 18.1.12. Nvidia 18.1.12.1. Overview 18.1.12.2. Product Portfolio 18.1.12.3. Profitability by Market Segments 18.1.12.4. Sales Footprint 18.1.12.5. Strategy Overview 18.1.12.5.1. Marketing Strategy 18.1.13. Synaptics Incorporated 18.1.13.1. Overview 18.1.13.2. Product Portfolio 18.1.13.3. Profitability by Market Segments 18.1.13.4. Sales Footprint 18.1.13.5. Strategy Overview 18.1.13.5.1. Marketing Strategy 18.1.14. Qualcomm Technologies Inc. 18.1.14.1. Overview 18.1.14.2. Product Portfolio 18.1.14.3. Profitability by Market Segments 18.1.14.4. Sales Footprint 18.1.14.5. Strategy Overview 18.1.14.5.1. Marketing Strategy 18.1.15. Xilinx 18.1.15.1. Overview 18.1.15.2. Product Portfolio 18.1.15.3. Profitability by Market Segments 18.1.15.4. Sales Footprint 18.1.15.5. Strategy Overview 18.1.15.5.1. Marketing Strategy 19. Assumptions & Acronyms Used 20. Research Methodology
Explore Technology Insights
View Reports
Edge AI Market
