Edge-based AI Market
HTF MI recently introduced Global Edge-based AI Market study with 143+ pages in-depth overview, describing about the Product / Industry Scope and elaborates market outlook and status (2024-2032). The market Study is segmented by key regions which is accelerating the marketization. At present, the market is developing its presence. Some key players from the complete study are NVIDIA, Intel, IBM, Google, Microsoft, Amazon Web Services, Cisco, Qualcomm, Huawei, FogHorn, Edgeworx, PTC, Kaspersky, Dell Technologies, ABB, Arm, Ericsson, GE Digital, HPE, Oracle.
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According to HTF Market Intelligence, the Global Edge-based AI market is expected to grow from ~7.5 Billion USD in 2024 to Edge-based AI Market – Global Trends, Insights & Forecast to 2032 USD by 2032, with a CAGR of ~28%% from 2024 to 2032.
The Edge-based AI market is segmented by Types (Cloud-Edge Hybrid, On-premise, SaaS, IoT-enabled), Application (Industrial Automation, Healthcare, Smart Cities, Retail) and by Geography (North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA).
Definition:
Edge-based AI involves deploying artificial intelligence algorithms directly on edge devices such as sensors, machines, and local computers, allowing data to be processed closer to its source rather than sending it to centralized cloud servers. This reduces latency and enhances real-time decision-making. The market is expanding due to the proliferation of IoT devices, the need for faster data processing, and the increasing demand for low-latency applications in industries such as manufacturing, healthcare, and automotive. Trends include AI models running on edge devices, integration with 5G networks, and the growing use of AI for industrial IoT applications. However, challenges such as security risks, system integration, and scalability remain prevalent in this emerging field.
Dominating Region:
• North America
Fastest-Growing Region:
• Asia Pacific
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The titled segments and sub-section of the market are illuminated below:
In-depth analysis of Edge-based AI market segments by Types: Cloud-Edge Hybrid, On-premise, SaaS, IoT-enabled
Detailed analysis of Tank Container Shipping market segments by Applications: Industrial Automation, Healthcare, Smart Cities, Retail
Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
• The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
• North America (United States, Mexico & Canada)
• South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
• Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
• Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).
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Edge-based AI Market Research Objectives:
– Focuses on the key manufacturers, to define, pronounce and examine the value, sales volume, market share, market competition landscape, SWOT analysis, and development plans in the next few years.
– To share comprehensive information about the key factors influencing the growth of the market (opportunities, drivers, growth potential, industry-specific challenges and risks).
– To analyze the with respect to individual future prospects, growth trends and their involvement to the total market.
– To analyze reasonable developments such as agreements, expansions new product launches, and acquisitions in the market.
– To deliberately profile the key players and systematically examine their growth strategies.
FIVE FORCES & PESTLE ANALYSIS:
In order to better understand market conditions five forces analysis is conducted that includes the Bargaining power of buyers, Bargaining power of suppliers, Threat of new entrants, Threat of substitutes, and Threat of rivalry.
• Political (Political policy and stability as well as trade, fiscal, and taxation policies)
• Economical (Interest rates, employment or unemployment rates, raw material costs, and foreign exchange rates)
• Social (Changing family demographics, education levels, cultural trends, attitude changes, and changes in lifestyles)
• Technological (Changes in digital or mobile technology, automation, research, and development)
• Legal (Employment legislation, consumer law, health, and safety, international as well as trade regulation and restrictions)
• Environmental (Climate, recycling procedures, carbon footprint, waste disposal, and sustainability)
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Points Covered in Table of Content of Global Edge-based AI Market:
Chapter 01 – Edge-based AI Executive Summary
Chapter 02 – Market Overview
Chapter 03 – Key Success Factors
Chapter 04 – Global Edge-based AI Market – Pricing Analysis
Chapter 05 – Global Edge-based AI Market Background or History
Chapter 06 – Global Edge-based AI Market Segmentation (e.g. Type, Application)
Chapter 07 – Key and Emerging Countries Analysis Worldwide Edge-based AI Market
Chapter 08 – Global Edge-based AI Market Structure & worth Analysis
Chapter 09 – Global Edge-based AI Market Competitive Analysis & Challenges
Chapter 10 – Assumptions and Acronyms
Chapter 11 – Edge-based AI Market Research Methodology
Key questions answered
• How Global Edge-based AI Market growth & size is changing in next few years?
• Who are the Leading players and what are their futuristic plans in the Global Edge-based AI market?
• What are the key concerns of the 5-forces analysis of the Global Edge-based AI market?
• What are the strengths and weaknesses of the key vendors?
• What are the different prospects and threats faced by the dealers in the Global Edge-based AI market?
Thanks for reading this article; you can also get individual chapter-wise sections or region-wise report versions like North America, LATAM, Europe, Japan, Australia or Southeast Asia.
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This release was published on openPR.
