세계의 엣지 AI 하드웨어 시장 : 디바이스별, 소비 전력별, 프로세서별, 기능별, 업계별, 지역별 - 예측(-2030년)

The edge AI hardware market is projected to reach USD 58.90 billion by 2030, up from USD 26.14 billion in 2025, at a CAGR of 17.6%.

The edge AI hardware market is growing due to the demand for real-time data processing, reduced latency, enhanced privacy, and better bandwidth efficiency. Advancements in semiconductor technology, IoT, autonomous vehicles, and smart devices also drive this growth. However, the adoption has limitations, including the lack of processing power, memory, and energy available on edge devices to run complex AI models. This requires intense optimization that may negatively impact accuracy. Other limitations to adopting edge AI hardware in the vicinity included security vulnerabilities, deployment costs, scaling, and maintenance in distributed edge systems.

"Training function to record higher CAGR during forecast period"

The training functionality in edge AI will register a higher CAGR than the inference function as federated learning continues to take hold, wherein AI models can be trained on distributed edge devices directly. At the same time, data privacy and regulations can be complied with. With industries producing massive datasets of various types at the edge, there is a growing need for always-on, device-based model updates to accommodate real-time learning and adaptation to local conditions. Furthermore, the potential of computing advances makes deploying necessary, decentralized training strategies ever easier, with disaster response, healthcare, finance, and autonomous systems prime examples.

"Smartphone devices to capture largest market share during forecast period"

Smartphones dominate the market for edge AI hardware due to their vast global user base and the widespread availability of AI-enabled features. These devices have become handy and ubiquitous, offering capabilities such as real-time language translation, facial recognition, and advanced photography-all of which require on-device processing to minimize latency and enhance user privacy. Mobile 5G technology has further accelerated smartphone adoption, enabling devices to run more sophisticated and powerful AI applications while providing a seamless user experience without relying on cloud connectivity. Consequently, device manufacturers prioritize the development of advanced processing units in smartphones, solidifying their status as the most popular edge AI devices in the world.

"China to account for largest market share in Asia Pacific during forecast period"

Asia Pacific is expected to account for the largest market share throughout the forecast period. The market's growth will be fueled by support from the Chinese government and various development plans, such as the New Generation Artificial Intelligence Development Plan and Made in China 2025. Credible companies such as Huawei and Baidu also invest in research and innovation. The vast user base in China, along with significant advancements in the consumption and innovation of consumer electronics, also contributes to this growth. Moreover, the large volumes of data generated by the Chinese population create an excellent environment for training and deploying edge AI models. China's strategic approach to integrating AI into various industries-including smart manufacturing, smart cities, and autonomous vehicles-will further support and accelerate the expansion of the edge AI market in the region.

The study contains insights from various industry experts, from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows:

• By Company Type: Tier 1 - 18%, Tier 2 - 22%, and Tier 3 - 60%
• By Designation: C-level Executives - 21%, Directors -35%, and Others - 44%
• By Region: North America -45%, Europe - 20%, Asia Pacific- 30%, and RoW - 5%

The report profiles key edge AI hardware market players with their respective market ranking analysis. Prominent players profiled in this report include Qualcomm Technologies, Inc. (US), Huawei Technologies Co., Ltd. (China), SAMSUNG (South Korea), Apple Inc. (US), MediaTek Inc. (Taiwan), Intel Corporation (US), NVIDIA Corporation (US), IBM (US), Micron Technology, Inc. (US), and Advanced Micro Devices, Inc. (US). Meta (US), Tesla (US), Google (US), Microsoft (US), Imagination Technologies (UK), Cambricon (China), Tenstorrent (Canada), Blaize (US), General Vision, Inc (US), Mythic (US), Zero ASIC Corporation (US), Applied Brain Research, Inc. (Canada), Horizon Robotics (China), CEVA Inc. (US), Graphcore (UK), SambaNova Systems, Inc. (US), HAILO (Israel), and Axelera AI (Netherlands) are among a few other key companies in the edge AI hardware market.

Research Coverage:

The report defines, describes, and forecasts the edge AI hardware market based on device, power consumption, processor, function, vertical, and region. It provides detailed information regarding drivers, restraints, opportunities, and challenges influencing the market's growth. It also analyzes competitive developments such as product launches, acquisitions, expansions, and actions carried out by the key players to grow in the market.

Reason to Buy This Report

The report will help the market leaders/new entrants with information on the closest approximations of the revenue for the overall edge AI hardware market and the subsegments. The report will help stakeholders understand the competitive landscape and gain more insight to position their business better and plan suitable go-to-market strategies. The report also helps stakeholders understand the market's pulse and provides information on key drivers, restraints, opportunities, and challenges.

The report provides insights on the following pointers:

• Analysis of key drivers (Need for real-time data processing and reduced cloud dependency), restraints (Complexities associated with network implementation), opportunities (Advancements in edge AI hardware through generative AI workload optimization), and challenges (Shortage of skilled workforce) of the edge AI hardware market.
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the edge AI hardware market
• Market Development: Comprehensive information about lucrative markets by analyzing the edge AI hardware market across varied regions
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the edge AI hardware market
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and offerings of leading players in the edge AI hardware market, such as Qualcomm Technologies, Inc. (US), Huawei Technologies Co., Ltd. (China), SAMSUNG (South Korea), Apple Inc. (US), and MediaTek Inc. (Taiwan), among others.

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
• 1.3 STUDY SCOPE
  • 1.3.1 INCLUSIONS AND EXCLUSIONS
  • 1.3.2 MARKETS COVERED AND REGIONAL SCOPE
  • 1.3.3 YEARS CONSIDERED
• 1.4 CURRENCY CONSIDERED
• 1.5 UNIT CONSIDERED
• 1.6 LIMITATIONS
• 1.7 STAKEHOLDERS
• 1.8 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY

• 2.1 RESEARCH DATA
  • 2.1.1 SECONDARY DATA
    • 2.1.1.1 Major secondary sources
    • 2.1.1.2 Key data from secondary sources
  • 2.1.2 PRIMARY DATA
    • 2.1.2.1 List of key interview participants
    • 2.1.2.2 Key data from primary sources
    • 2.1.2.3 Key industry insights
    • 2.1.2.4 Breakdown of primaries
  • 2.1.3 SECONDARY AND PRIMARY RESEARCH
  • 2.1.4 BOTTOM-UP APPROACH
    • 2.1.4.1 Approach to derive market size using bottom-up approach (Demand-side)
  • 2.1.5 TOP-DOWN APPROACH
    • 2.1.5.1 Approach to derive market size using top-down analysis (Supply-side)
• 2.2 DATA TRIANGULATION
• 2.3 RESEARCH ASSUMPTIONS
• 2.4 REPORT LIMITATIONS
• 2.5 RISK ASSESSMENT

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

• 4.1 ATTRACTIVE GROWTH OPPORTUNITIES FOR PLAYERS IN EDGE AI HARDWARE MARKET
• 4.2 EDGE AI HARDWARE MARKET, BY DEVICE
• 4.3 EDGE AI HARDWARE MARKET, BY VERTICAL
• 4.4 EDGE AI HARDWARE MARKET, BY POWER CONSUMPTION
• 4.5 EDGE AI HARDWARE MARKET IN ASIA PACIFIC, BY DEVICE AND COUNTRY
• 4.6 EDGE AI HARDWARE MARKET, BY GEOGRAPHY

5 MARKET OVERVIEW

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Need for real-time data processing and reduced cloud dependency
    • 5.2.1.2 Development of dedicated AI processing units for edge device applications
    • 5.2.1.3 Necessity to optimize data management and reduce cloud infrastructure load
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 Complexities associated with network implementation
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Advancements in edge AI hardware through generative AI workload optimization
    • 5.2.3.2 Development of on-device visual processors for next-generation mobile AI applications
    • 5.2.3.3 Growing integration of edge computing across robotics, automotive, and industrial sectors
    • 5.2.3.4 Opportunities in ultra-low latency AI applications with 5G-powered edge infrastructure
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Balancing performance and power consumption in edge AI systems
    • 5.2.4.2 Developing cohesive edge AI standards across diverse industry requirements
    • 5.2.4.3 Shortage of skilled workforce
• 5.3 SUPPLY CHAIN ANALYSIS
• 5.4 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.5 ECOSYSTEM ANALYSIS
• 5.6 PORTER'S FIVE FORCES ANALYSIS
  • 5.6.1 THREAT OF NEW ENTRANTS
  • 5.6.2 THREAT OF SUBSTITUTES
  • 5.6.3 BARGAINING POWER OF SUPPLIERS
  • 5.6.4 BARGAINING POWER OF BUYERS
  • 5.6.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.7 KEY STAKEHOLDERS AND BUYING CRITERIA
  • 5.7.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 5.7.2 BUYING CRITERIA
• 5.8 CASE STUDY ANALYSIS
• 5.9 INVESTMENT AND FUNDING SCENARIO
• 5.10 TECHNOLOGY ANALYSIS
  • 5.10.1 KEY TECHNOLOGIES
    • 5.10.1.1 IoT
    • 5.10.1.2 5G
    • 5.10.1.3 Fog computing
  • 5.10.2 COMPLEMENTARY TECHNOLOGIES
    • 5.10.2.1 Generative AI
  • 5.10.3 ADJACENT TECHNOLOGIES
    • 5.10.3.1 Blockchain
• 5.11 TRADE ANALYSIS
  • 5.11.1 IMPORT SCENARIO (HS CODE 854231)
  • 5.11.2 EXPORT SCENARIO (HS CODE 854231)
• 5.12 PATENT ANALYSIS
• 5.13 REGULATORY LANDSCAPE
  • 5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.13.2 STANDARDS
• 5.14 KEY CONFERENCES AND EVENTS, 2025-2026
• 5.15 PRICING ANALYSIS
  • 5.15.1 PRICING RANGE OF PROCESSORS, BY KEY PLAYER, 2024
  • 5.15.2 AVERAGE SELLING PRICE TREND OF PROCESSORS, BY REGION, 2021-2024
• 5.16 AI IMPACT ON MARKET
• 5.17 2025 US TARIFF IMPACT ON MARKET
  • 5.17.1 INTRODUCTION
  • 5.17.2 KEY TARIFF RATES
  • 5.17.3 PRICE IMPACT ANALYSIS
  • 5.17.4 MOST-IMPACTED REGIONS/COUNTRIES
    • 5.17.4.1 US
    • 5.17.4.2 Europe
    • 5.17.4.3 Asia Pacific
  • 5.17.5 VERTICAL-LEVEL IMPACT

6 EDGE AI HARDWARE MARKET, BY DEVICE

• 6.1 INTRODUCTION
• 6.2 SMARTPHONES
  • 6.2.1 SHIFT TOWARD EDGE COMPUTING IN MOBILE DEVICES TO DRIVE MARKET
• 6.3 SURVEILLANCE CAMERAS
  • 6.3.1 ABILITY TO RUN DEEP NEURAL NETWORKS AT HIGH SPEED AND LOW POWER TO FUEL MARKET GROWTH
• 6.4 ROBOTS
  • 6.4.1 INDUSTRIAL ROBOTICS AND AUTOMATION TO BOOST DEMAND
• 6.5 WEARABLES
  • 6.5.1 RISING FOCUS ON HEALTH MONITORING AND PERSONALIZED WELLNESS TO FOSTER MARKET GROWTH
• 6.6 EDGE SERVERS
  • 6.6.1 EXCELLENCE IN ENABLING FASTER DECISION-MAKING AND AUTOMATED ACTIONS TO ACCELERATE ADOPTION
• 6.7 SMART SPEAKERS
  • 6.7.1 POTENTIAL TO OPTIMIZE VOICE ASSISTANT PERFORMANCE TO PROPEL MARKET
• 6.8 AUTOMOTIVE SYSTEMS
  • 6.8.1 EMPHASIS OF AUTOMAKERS ON ENHANCING IN-VEHICLE INTELLIGENCE TO DRIVE MARKET
• 6.9 OTHER DEVICES

7 EDGE AI HARDWARE MARKET, BY POWER CONSUMPTION

• 7.1 INTRODUCTION
• 7.2 LESS THAN 1 W
  • 7.2.1 RISING USE OF WEARABLES CONSUMING LESS THAN 1 W OF ELECTRICITY TO BOOST SEGMENTAL GROWTH
• 7.3 1-3 W
  • 7.3.1 INCREASING SMARTPHONE SUBSCRIBERS TO FOSTER SEGMENTAL GROWTH
• 7.4 >3-5 W
  • 7.4.1 ABILITY TO DELIVER OPTIMIZED POWER MANAGEMENT FOR SMART SPEAKERS TO BOOST DEMAND
• 7.5 >5-10 W
  • 7.5.1 GROWING DEPLOYMENT OF SURVEILLANCE CAMERAS WITH FACE RECOGNITION AND VEHICLE RECOGNITION ABILITY TO DRIVE MARKET
• 7.6 MORE THAN 10 W
  • 7.6.1 RISING DEMAND FOR SMART MIRRORS TO FUEL MARKET GROWTH

8 EDGE AI HARDWARE MARKET, BY PROCESSOR

• 8.1 INTRODUCTION
• 8.2 CPU
  • 8.2.1 INCREASING DEPLOYMENT IN SMARTPHONES AND SMART SPEAKERS TO FUEL SEGMENTAL GROWTH
• 8.3 GPU
  • 8.3.1 POTENTIAL TO ENABLE HIGH-SPEED PARALLEL PROCESSING FOR MODERN APPLICATIONS TO FOSTER SEGMENTAL GROWTH
• 8.4 ASIC
  • 8.4.1 ELEVATING USE OF HIGH-SPEED FIXED-FUNCTION ASICS IN VISION PROCESSING TO PROPEL MARKET
• 8.5 OTHER PROCESSORS

9 EDGE AI HARDWARE MARKET, BY FUNCTION

• 9.1 INTRODUCTION
• 9.2 TRAINING
  • 9.2.1 MAXIMIZING DATA SECURITY THROUGH ON-DEVICE TRAINING TO DRIVE MARKET
• 9.3 INFERENCE
  • 9.3.1 RISING FOCUS ON DEVELOPING LOW-POWER AND HIGH-PERFORMANCE PROCESSORS TO ACCELERATE DEMAND

10 EDGE AI HARDWARE MARKET, BY VERTICAL

• 10.1 INTRODUCTION
• 10.2 CONSUMER ELECTRONICS
  • 10.2.1 EXPANDING USE OF ON-DEVICE AI IN CONSUMER ELECTRONICS TO FUEL MARKET GROWTH
  • 10.2.2 SMARTPHONES
    • 10.2.2.1 Escalating demand for dedicated AI chipset-enabled smartphones to accelerate market growth
  • 10.2.3 WEARABLES
    • 10.2.3.1 Rising use of AR/VR technology in gaming applications to support market growth
  • 10.2.4 ENTERTAINMENT ROBOTS
    • 10.2.4.1 Growing adoption of robotic pets as companions to create opportunities
• 10.3 SMART HOMES
  • 10.3.1 ELEVATING DEMAND FOR SMART SPEAKERS TO DRIVE MARKET
  • 10.3.2 SMART SPEAKERS
    • 10.3.2.1 Ease of use and convenience to increase adoption by elderly and busy people
  • 10.3.3 SMART CAMERAS
    • 10.3.3.1 Round-the-clock security requirement to surge adoption
  • 10.3.4 DOMESTIC ROBOTS
    • 10.3.4.1 Ability to manage lawn mowing and floor, pool, and window cleaning activities to spike demand
• 10.4 AUTOMOTIVE & TRANSPORTATION
  • 10.4.1 EMERGENCE OF AUTONOMOUS VEHICLES TO FUEL MARKET GROWTH
  • 10.4.2 AUTOMOTIVE SYSTEMS
    • 10.4.2.1 Strong focus on enhancing safety and automation in modern vehicles to drive market
  • 10.4.3 SURVEILLANCE CAMERAS
    • 10.4.3.1 Need for advanced vehicle recognition and counting technology to boost deployment
  • 10.4.4 LOGISTICS ROBOTS
    • 10.4.4.1 Elevating use in courier and cargo handling applications to drive market
  • 10.4.5 OTHER AUTOMOTIVE & TRANSPORTATION DEVICES
• 10.5 GOVERNMENT
  • 10.5.1 RISING ADOPTION OF ADVANCED TECHNOLOGIES TO ENSURE CITIZEN SECURITY AND SAFETY TO CREATE OPPORTUNITIES
  • 10.5.2 SURVEILLANCE CAMERAS
    • 10.5.2.1 Increasing use by police and first responders to augment market growth
  • 10.5.3 DRONES
    • 10.5.3.1 Adoption of AI-powered drones in tracking suspects and investigating accidents to propel market
• 10.6 HEALTHCARE
  • 10.6.1 EMERGENCE OF AI-POWERED MEDICAL ROBOTS AND WEARABLES TO OFFER LUCRATIVE OPPORTUNITIES
  • 10.6.2 MEDICAL ROBOTS
    • 10.6.2.1 Emphasis on minimizing infection risks to patients to boost adoption
  • 10.6.3 WEARABLES
    • 10.6.3.1 Growing trend of remote patient monitoring to encourage adoption
  • 10.6.4 OTHER HEALTHCARE DEVICES
• 10.7 INDUSTRIAL
  • 10.7.1 GROWING USE IN QUALITY CONTROL AND MACHINE INSPECTION APPLICATIONS TO CONTRIBUTE TO MARKET GROWTH
  • 10.7.2 INDUSTRIAL ROBOTS
    • 10.7.2.1 Increasing adoption to speed up production, improve productivity, and reduce product cost to drive market
  • 10.7.3 DRONES
    • 10.7.3.1 Rising use to automate inspection processes, save time, and provide accurate results to support market growth
  • 10.7.4 MV CAMERAS
    • 10.7.4.1 Potential to minimize production downtime by detecting machinery defects at faster rate to elevate adoption
• 10.8 AEROSPACE & DEFENSE
  • 10.8.1 EMERGING DEFENSE TECHNOLOGIES TO ENABLE AUTONOMOUS COMBAT TO BOOST ADOPTION
  • 10.8.2 SERVICE ROBOTS
    • 10.8.2.1 Rising use in confined space operations to stimulate market growth
  • 10.8.3 OTHER AEROSPACE & DEFENSE DEVICES
• 10.9 CONSTRUCTION
  • 10.9.1 INCREASING EXECUTION OF DEMOLITION PROJECTS TO SPUR DEMAND
  • 10.9.2 SERVICE ROBOTS
    • 10.9.2.1 Elevating use across transportation, water, and urban infrastructure development projects to fuel market growth
  • 10.9.3 DRONES
    • 10.9.3.1 Increasing use in earthwork management, project planning, and surveying applications to support market growth
• 10.10 OTHER VERTICALS
  • 10.10.1 SURVEILLANCE CAMERAS
    • 10.10.1.1 Growing incidents of robbery and terror threats to create requirement for surveillance cameras
  • 10.10.2 PROFESSIONAL SERVICE ROBOTS
    • 10.10.2.1 Retail stores, restaurants, amusement parks, and airports to be major end users of professional robots
  • 10.10.3 WEARABLES
    • 10.10.3.1 Rising use of wearables by enterprises for on-the-job training to propel market growth
  • 10.10.4 OTHER DEVICES
    • 10.10.4.1 Emergence of virtual dressing rooms in apparel industry to support market growth
  • 10.10.5 EDGE SERVERS
    • 10.10.5.1 Need to improve efficiency of agricultural operations to generate requirement for edge AI
  • 10.10.6 DRONES
    • 10.10.6.1 Surging adoption of drones to monitor crops to push market growth

11 EDGE AI HARDWARE MARKET, BY REGION

• 11.1 INTRODUCTION
• 11.2 NORTH AMERICA
  • 11.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
  • 11.2.2 US
    • 11.2.2.1 Government-led investments in machine learning solutions to drive market
  • 11.2.3 CANADA
    • 11.2.3.1 Rising focus of startups on developing AI ecosystem to accelerate demand
  • 11.2.4 MEXICO
    • 11.2.4.1 Increasing penetration of AL and robotics in manufacturing sector to fuel market growth
• 11.3 EUROPE
  • 11.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
  • 11.3.2 GERMANY
    • 11.3.2.1 Growing adoption of digital solutions in manufacturing plants to fuel market growth
  • 11.3.3 UK
    • 11.3.3.1 Rising demand for AI-based robots in industrial applications to drive market
  • 11.3.4 FRANCE
    • 11.3.4.1 Government-led funding in AI-based startups to expedite market growth
  • 11.3.5 SPAIN
    • 11.3.5.1 Rapid adoption of cloud computing to accelerate demand
  • 11.3.6 ITALY
    • 11.3.6.1 Growing inclination toward AI adoption and digital transformation to offer lucrative growth opportunities
  • 11.3.7 POLAND
    • 11.3.7.1 Increasing foreign and domestic investments in cloud and AI infrastructure development to spur demand
  • 11.3.8 NORDICS
    • 11.3.8.1 Government support to enhance AI capabilities to create lucrative opportunities
  • 11.3.9 REST OF EUROPE
• 11.4 ASIA PACIFIC
  • 11.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
  • 11.4.2 CHINA
    • 11.4.2.1 Booming automotive & transportation sector to contribute to market growth
  • 11.4.3 JAPAN
    • 11.4.3.1 Strong emphasis on manufacturing industrial robots to drive market
  • 11.4.4 SOUTH KOREA
    • 11.4.4.1 Growing emphasis on developing AI infrastructure to drive market
  • 11.4.5 INDIA
    • 11.4.5.1 Government-led initiatives to boost AI infrastructure to create market growth potential
  • 11.4.6 AUSTRALIA
    • 11.4.6.1 Government initiatives encouraging AI adoption to support market growth
  • 11.4.7 INDONESIA
    • 11.4.7.1 Rapid digital transformation and data center expansion to increase demand
  • 11.4.8 MALAYSIA
    • 11.4.8.1 Government support to strengthen data center capacity to offer lucrative opportunities
  • 11.4.9 THAILAND
    • 11.4.9.1 Significant focus on AI innovation and setting digital economy to facilitate demand
  • 11.4.10 VIETNAM
    • 11.4.10.1 Investments in establishing green AI-ready data centers to spike demand
  • 11.4.11 REST OF ASIA PACIFIC
• 11.5 ROW
  • 11.5.1 MACROECONOMIC OUTLOOK FOR ROW
  • 11.5.2 SOUTH AMERICA
    • 11.5.2.1 High investments in IT security and services to accelerate market growth
  • 11.5.3 MIDDLE EAST
    • 11.5.3.1 Rapid industrialization and smart city products to drive demand
    • 11.5.3.2 Bahrain
      • 11.5.3.2.1 Foreign investments in AI innovation to propel market
    • 11.5.3.3 Kuwait
      • 11.5.3.3.1 Growing demand for AI workloads and cloud services to drive market
    • 11.5.3.4 Oman
      • 11.5.3.4.1 Significant focus on developing local expertise in chip design and manufacturing to create opportunities
    • 11.5.3.5 Qatar
      • 11.5.3.5.1 Advancements in AI and graphics processing technologies to propel market
    • 11.5.3.6 Saudi Arabia
      • 11.5.3.6.1 Growing emphasis on digital transformation and technological innovation to drive market
    • 11.5.3.7 UAE
      • 11.5.3.7.1 Goal to become a global AI and digital innovation hub to contribute to market growth
    • 11.5.3.8 Rest of Middle East
  • 11.5.4 AFRICA
    • 11.5.4.1 Increasing demand for cloud and AI-driven solutions to drive market
    • 11.5.4.2 South Africa
      • 11.5.4.2.1 Rapid digital transformation to support market expansion
    • 11.5.4.3 Other African countries

12 COMPETITIVE LANDSCAPE

• 12.1 OVERVIEW
• 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, JANUARY 2020-MAY 2025
• 12.3 REVENUE ANALYSIS, 2020-2024
• 12.4 MARKET SHARE ANALYSIS, 2024
• 12.5 COMPANY VALUATION AND FINANCIAL METRICS
• 12.6 BRAND/PRODUCT COMPARISON
• 12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
  • 12.7.1 STARS
  • 12.7.2 EMERGING LEADERS
  • 12.7.3 PERVASIVE PLAYERS
  • 12.7.4 PARTICIPANTS
  • 12.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
    • 12.7.5.1 Company footprint
    • 12.7.5.2 Region footprint
    • 12.7.5.3 Device footprint
    • 12.7.5.4 Power consumption footprint
    • 12.7.5.5 Processor footprint
    • 12.7.5.6 Function footprint
    • 12.7.5.7 Vertical footprint
• 12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
  • 12.8.1 PROGRESSIVE COMPANIES
  • 12.8.2 RESPONSIVE COMPANIES
  • 12.8.3 DYNAMIC COMPANIES
  • 12.8.4 STARTING BLOCKS
  • 12.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    • 12.8.5.1 Detailed list of key startups/SMEs
    • 12.8.5.2 Competitive benchmarking of key startups/SMES
• 12.9 COMPETITIVE SCENARIO
  • 12.9.1 PRODUCT LAUNCHES/ENHANCEMENTS
  • 12.9.2 DEALS
  • 12.9.3 OTHER DEVELOPMENTS

13 COMPANY PROFILES

• 13.1 KEY COMPANIES
  • 13.1.1 QUALCOMM TECHNOLOGIES, INC.
    • 13.1.1.1 Business overview
    • 13.1.1.2 Products/Solutions/Services offered
    • 13.1.1.3 Recent developments
      • 13.1.1.3.1 Product launches/Enhancements
      • 13.1.1.3.2 Deals
    • 13.1.1.4 MnM view
      • 13.1.1.4.1 Key strengths/Right to win
      • 13.1.1.4.2 Strategic choices
      • 13.1.1.4.3 Weaknesses/Competitive threats
  • 13.1.2 HUAWEI TECHNOLOGIES CO., LTD.
    • 13.1.2.1 Business overview
    • 13.1.2.2 Products/Solutions/Services offered
    • 13.1.2.3 Recent developments
      • 13.1.2.3.1 Product launches/Enhancements
      • 13.1.2.3.2 Deals
      • 13.1.2.3.3 Other developments
    • 13.1.2.4 MnM view
      • 13.1.2.4.1 Key strengths/Right to win
      • 13.1.2.4.2 Strategic choices
      • 13.1.2.4.3 Weaknesses/Competitive threats
  • 13.1.3 SAMSUNG
    • 13.1.3.1 Business overview
    • 13.1.3.2 Products/Solutions/Services offered
    • 13.1.3.3 Recent developments
      • 13.1.3.3.1 Product launches/Enhancements
      • 13.1.3.3.2 Deals
    • 13.1.3.4 MnM view
      • 13.1.3.4.1 Key strengths/Right to win
      • 13.1.3.4.2 Strategic choices
      • 13.1.3.4.3 Weaknesses/Competitive threats
  • 13.1.4 APPLE INC.
    • 13.1.4.1 Business overview
    • 13.1.4.2 Products/Solutions/Services offered
    • 13.1.4.3 Recent developments
      • 13.1.4.3.1 Product launches/Enhancements
      • 13.1.4.3.2 Deals
    • 13.1.4.4 MnM view
      • 13.1.4.4.1 Key strengths/Right to win
      • 13.1.4.4.2 Strategic choices
      • 13.1.4.4.3 Weaknesses/Competitive threats
  • 13.1.5 MEDIATEK INC.
    • 13.1.5.1 Business overview
    • 13.1.5.2 Products/Solutions/Services offered
    • 13.1.5.3 Recent developments
      • 13.1.5.3.1 Product launches/Enhancements
      • 13.1.5.3.2 Deals
      • 13.1.5.3.3 Other developments
    • 13.1.5.4 MnM view
      • 13.1.5.4.1 Key strengths/Right to win
      • 13.1.5.4.2 Strategic choices
      • 13.1.5.4.3 Weaknesses/Competitive threats
  • 13.1.6 INTEL CORPORATION
    • 13.1.6.1 Business overview
    • 13.1.6.2 Products/Solutions/Services offered
    • 13.1.6.3 Recent developments
      • 13.1.6.3.1 Product launches/Enhancements
      • 13.1.6.3.2 Deals
      • 13.1.6.3.3 Other developments
  • 13.1.7 NVIDIA CORPORATION
    • 13.1.7.1 Business overview
    • 13.1.7.2 Products/Solutions/Services offered
    • 13.1.7.3 Recent developments
      • 13.1.7.3.1 Product launches/Enhancements
      • 13.1.7.3.2 Deals
      • 13.1.7.3.3 Other developments
  • 13.1.8 IBM
    • 13.1.8.1 Business overview
    • 13.1.8.2 Products/Solutions/Services offered
    • 13.1.8.3 Recent developments
      • 13.1.8.3.1 Product launches/Enhancements
      • 13.1.8.3.2 Deals
  • 13.1.9 MICRON TECHNOLOGY, INC.
    • 13.1.9.1 Business overview
    • 13.1.9.2 Products/Solutions/Services offered
    • 13.1.9.3 Recent developments
      • 13.1.9.3.1 Product launches/Enhancements
      • 13.1.9.3.2 Deals
  • 13.1.10 ADVANCED MICRO DEVICES, INC.
    • 13.1.10.1 Business overview
    • 13.1.10.2 Products/Solutions/Services offered
    • 13.1.10.3 Recent developments
      • 13.1.10.3.1 Product launches/Enhancements
      • 13.1.10.3.2 Deals
  • 13.1.11 META
    • 13.1.11.1 Business overview
    • 13.1.11.2 Products/Solutions/Services offered
    • 13.1.11.3 Recent developments
      • 13.1.11.3.1 Deals
  • 13.1.12 TESLA
    • 13.1.12.1 Business overview
    • 13.1.12.2 Products/Solutions/Services offered
  • 13.1.13 GOOGLE
    • 13.1.13.1 Business overview
    • 13.1.13.2 Products/Solutions/Services offered
    • 13.1.13.3 Recent developments
      • 13.1.13.3.1 Product launches/Enhancements
      • 13.1.13.3.2 Deals
  • 13.1.14 MICROSOFT
    • 13.1.14.1 Business overview
    • 13.1.14.2 Products/Solutions/Services offered
    • 13.1.14.3 Recent developments
      • 13.1.14.3.1 Deals
• 13.2 OTHER PLAYERS
  • 13.2.1 AXELERA AI
  • 13.2.2 IMAGINATION TECHNOLOGIES
  • 13.2.3 CAMBRICON
  • 13.2.4 TENSTORRENT
  • 13.2.5 BLAIZE
  • 13.2.6 GENERAL VISION INC.
  • 13.2.7 MYTHIC
  • 13.2.8 ZERO ASIC CORPORATION
  • 13.2.9 APPLIED BRAIN RESEARCH (ABR)
  • 13.2.10 HORIZON ROBOTICS
  • 13.2.11 CEVA, INC.
  • 13.2.12 GRAPHCORE
  • 13.2.13 SAMBANOVA SYSTEMS, INC.
  • 13.2.14 HAILO

14 APPENDIX

• 14.1 DISCUSSION GUIDE
• 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 14.3 CUSTOMIZATION OPTIONS
• 14.4 RELATED REPORTS
• 14.5 AUTHOR DETAILS