Edge Intelligence Market

Report Code - SE202297DR | Industry - Semiconductor & Electronics | Published on - September, 2022 | Pages - 99 | Format -

Edge Intelligence Market by Product Type, Application and Region - Global Market Analysis and Forecast (2019 - 2029)




Edge intelligence is a type of artificial intelligence (AI) that is deployed at the edge of a network, such as a device or sensor. Edge intelligence enables devices to process data locally instead of sending it to the cloud or a data center for processing. This type of AI can be used to analyze data in real-time and make decisions without relying on a central server, allowing for faster and more efficient decision-making.

Market Drivers

The key driving factors of the global Edge Intelligence market are:

  • Increasing Demand for Edge Computing: Edge computing is gaining traction due to the need for faster data processing and analytics at the edge of networks. Edge computing can help reduce latency, improve performance, and reduce costs. This is driving the demand for edge intelligence solutions.
  • Growing IoT Adoption: The increasing adoption of Internet of Things (IoT) devices is driving the growth of the edge intelligence market. Edge intelligence solutions enable the efficient management and analysis of data generated from IoT devices.
  • Increasing Use of Artificial Intelligence: The increasing use of artificial intelligence (AI) is driving the growth of the edge intelligence market. Edge intelligence solutions enable the efficient deployment and management of AI-based applications at the edge of the network.
  • Growing Adoption of Smart Cities: The increasing adoption of smart cities is driving the growth of the edge intelligence market. Edge intelligence solutions enable the efficient management and analysis of data generated from smart city applications.
  • Increasing Investment in Edge Computing: The increasing investment in edge computing is driving the growth of the edge intelligence market. Edge intelligence solutions enable the efficient deployment and management of edge computing applications.

Market Challenges

  • Lack of Standardization: The lack of standardization in the global edge intelligence market is one of the major challenges faced by vendors. Each vendor has different protocols for edge intelligence, which makes it difficult for vendors to collaborate and integrate their products. Moreover, the absence of a common platform for edge intelligence makes it difficult for vendors to develop compatible products.
  • Security and Privacy: Security and privacy are the major concerns for organizations using edge intelligence. The data collected from edge devices is often sensitive, and organizations need to ensure that it is stored securely. Moreover, organizations need to ensure that the data is not misused or leaked.
  • High Cost of Deployment: The cost of deploying edge intelligence solutions is high, as it requires specialized hardware and software. Organizations need to invest in the right hardware and software to ensure that their edge intelligence solutions are secure and reliable.
  • Complex Integration: Edge intelligence solutions require complex integration with existing systems and processes. Organizations need to invest in the right resources and expertise to ensure that their edge intelligence solutions are integrated properly.
  • Lack of Skilled Professionals: There is a lack of skilled professionals in the edge intelligence market. Organizations need to invest in training and development of their personnel to ensure that their edge intelligence solutions are deployed and managed properly.

The global edge intelligence market research report is a databook report that contains vital information on the edge intelligence market. Some of the prominent players in the market are Alibaba, Arm, Baidu, Cambricon, Google, Horizon Robotics, Intel, MediaTek, Microsoft, Mythic, NVIDIA, NXP, Qualcomm, Synopsys. The research report on the global edge intelligence market provides extensive competition analysis and competitive conditions. The report includes information on significant products, players, challenges and developments, and other information specific to the market.

Covid-19 Impact Analysis

The global economy is highly affected by the COVID-19. Various sectors in the economy are much affected by this pandemic. The global economy will decline because of the loss of trillions of dollars. The growing extension and imposition of lockdown in various countries directly affect the economy all over the world. The report consists of a chapter that provides a detailed study of the impact of COVID-19 on the edge intelligence market. This report is helpful for business and industry practitioners. The study specifically intended to assist in explaining, directing, and understanding the potential of the edge intelligence markets. The study focuses on providing readers with an understanding of developments in the industry. The report also provides detailed insights on market segments, market forecasts, leading players, market drivers, and inhibitors.

Objectives of the Global Edge Intelligence Market Study

  • Define and discuss the global market for edge intelligence.
  • Analyze the various segments of the market as well as the market dynamics of edge intelligence.
  • Categorize edge intelligence segments with escalating growth potential and value the segments future market.
  • Analyze the key trends related to different segments and countries that help in figuring the edge intelligence market.
  • To check region-specific growth and development in the edge intelligence market.
  • Analyze the historical and current value of each of these product segments in the end-user and geographic markets.
  • Understand the foremost stakeholders of the market and the value of the competitive landscape of the leaders of the market.
  • To study the plans, initiatives, and strategies for the development of the market.

The second chapter, market overview, provides an overview of the edge intelligence market. The chapter discusses macroeconomic factors, drivers, restraints, opportunities, challenges, value chain analysis, technology roadmap, and Porter 5 force model analysis.

Global Edge Intelligence Market Segmentation

Chapter 3, segment analysis provides information on the different sub-segments of the market. The chapter provides an in-depth analysis of the market segments, year-on-year growth projections that enable readers to identify potential market growth areas.

  • Based on product type, the global edge intelligence market is segmented into hardware, software.
  • Based on application, the edge intelligence market is segmented into automotive, consumer and enterprise robotics, drones, head-mounted displays, smart speakers, mobile phones, pcs/tablets, security cameras.

Global Edge Intelligence Market Regional Analysis

Chapter 4, the regional analysis includes an in-depth analysis of the edge intelligence market by region. The chapter includes various regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America. The report also includes a comprehensive analysis of the market by country. The report covers countries such as the United States, Canada, Germany, France, Italy, Spain, China, India, Japan, the GCC, South Africa, Brazil, Mexico, and the rest of the world. Regional insight helps market competitors to make crucial decisions about their company. Individualized, country-wise, and segment-wise analyses by region allow readers to explore the potential of the market in different geographies. This section is a vital part of the report for each years growth projections and a global share of value.

Global Edge Intelligence Market Competitive Analysis

Chapter 5, competitive analysis of the report includes company shares analysis, a list of acquisitions, mergers, collaboration, and the introduction of new products.

Global Edge Intelligence Market Company Profile

Chapter 6, the company profile of the report also covers key industry players working in the edge intelligence market. The report also discusses the business strategies adopted by the players at the global, regional, and country-level. The study also focuses on various businesses or inorganic business development strategies for expanding consumer networks through product formation, organization extension, partnerships, mergers, and acquisitions.

The study offers an exhaustive summary and estimate of the global market. It includes in-depth qualitative and quantitative analyses in the report that align with our customers goals and objectives. Projections have been confirmed by comprehensive primary and secondary analysis. The study will encourage clients to invest in the market based on the current business situation, trends, and potential developments in the segments. Understanding the requirement of the client, the report delivers specialist insights into the global market, its products, and market patterns.

Scope of the Report

The global edge intelligence market has significant scope and provides a detailed description and evaluation of the market. It covers extensive qualitative and quantitative insights into the report that aligned with the goals and objectives of our intended customers.

Attribute Description
Base Year 2022
Historical Year 2019 - 2021
Forecast Period 2023 - 2029
Market Value US$ Million
Segments Covered

By Product Type: Hardware, Software.

By Application: Automotive, Consumer and Enterprise Robotics, Drones, Head-Mounted Displays, Smart Speakers, Mobile Phones, PCs/Tablets, Security Cameras.

Geographies Covered

North America: U.S., Canada

Europe: Germany, U.K., France, Italy, Spain, Russia, and the Rest of Europe

Asia Pacific: China, India, Japan, Australia, and Rest of Asia Pacific

The Middle East and Africa: GCC, South Africa and Rest of the Middle East and Africa

Latin America: Brazil, Mexico, and Rest of Latin America

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

Sources of Information

The information in this research report was gathered using extensive primary research methodologies and supported secondary data-collection methods. As primary techniques, the interviews with key executives, managers, and industry professionals were conducted actively in the edge intelligence market. Secondary sources included published literature, investment reports, corporate literature, and various journals. Primary research validates secondary research information and industry trends to segment the market into several categories and generates an overall market size, markets forecast, and growth rate. That includes discussions with key industry leaders to confirm the facts. That allowed the closest possible figures to derive with no significant variations in the actual numbers.

The Following Key Questions are Addressed in this Edge Intelligence Market Report:

  • What is the size of the edge intelligence market?
  • What are some of the most recent trends that will shape the future of the edge intelligence market?
  • Who are the most important players in the edge intelligence market?
  • Which region has the greatest potential for growth in the edge intelligence market?
  • Which region has the largest share of the edge intelligence market?

1. Introduction

2. Market Overview

2.1. Global Edge Intelligence Market Introduction

2.2. Macro- Economic Factor

2.3. Market Determinants

2.3.1. Market Driver

2.3.2. Market Restraints

2.3.3. Market Opportunities

2.3.4. Market Challenges

2.4. Technology/Product Roadmap

2.5. PEST Analysis

2.6. Market Growth Opportunity Analysis

2.7. Impact of Covid-19 on Edge Intelligence Market

3. Market Segmentation

3.1. Global Edge Intelligence Market Analysis (US$ Mn), By Product Type, 2019 - 2029

3.1.1 Hardware

3.1.2 Software

3.2. Global Edge Intelligence Market Analysis (US$ Mn), By Application, 2019 - 2029

3.2.1 Automotive

3.2.2 Consumer and Enterprise Robotics

3.2.3 Drones

3.2.4 Head-Mounted Displays

3.2.5 Smart Speakers

3.2.6 Mobile Phones

3.2.7 PCs/Tablets

3.2.8 Security Cameras

4. Regional Analysis

4.1. North America Edge Intelligence Market Analysis (US$ Mn), 2019 - 2029

4.1.1. By Country

4.1.1.1. U.S.

4.1.1.2.Canada

4.1.2.By Product Type

4.1.3.By Application

4.2.Europe Edge Intelligence Market Analysis (US$ Mn), 2019 - 2029

4.2.1.By Country

4.2.1.1.Germany

4.2.1.2.U.K.

4.2.1.3.France

4.2.1.4.Italy 

4.2.1.5.Spain

4.2.1.6.Rest of Europe

4.2.2.By Product Type

4.2.3.By Application

4.3.Asia Pacific Edge Intelligence Market Analysis (US$ Mn), 2019 - 2029

4.3.1.By Country

4.3.1.1.China

4.3.1.2.Japan

4.3.1.3.India

4.3.1.4.Rest of Asia Pacific

4.3.2.By Product Type

4.3.3.By Application

4.4.Rest of world Edge Intelligence Market Analysis (US$ Mn), 2019 - 2029

4.4.1. By Region

4.4.1.1. Middle East & Africa

4.4.1.2. Latin America

4.4.2.By Product Type

4.4.3. By Application

5.Company Profiles 

5.1 Alibaba

5.2 Arm

5.3 Baidu

5.4 Cambricon

5.5 Google

5.6 Horizon Robotics

5.7 Intel

5.8 MediaTek

5.9 Microsoft

5.10 Mythic

5.11 NVIDIA

5.12 NXP

5.13 Qualcomm

5.14 Synopsys

 

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