AI PC Market Size, Share, Trends and Growth Analysis

Report Code SE 9176
Published in Oct, 2024, By MarketsandMarkets™
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AI PC Market by Product (Desktops & Notebooks, Workstations), Operating System (Windows, macOS, Chrome), Compute Type (GPU, NPU- <40 TOPs, 40-60 TOPS) Compute Architecture (X86, ARM), Price (Below USD 1200, USD 1200 and Above) - Global Forecast to 2030

AI PC Market Size, Share & Growth

The AI PC market size is projected to grow from USD 50.61 billion in 2024 to USD 231.30 billion by 2030, growing at a CAGR of 28.82% during the forecast period from 2024 to 2030. Al-powered PCs are designed for processing, mining, and even executing immediate analysis of data and, hence, are most valuable, especially in data-intensive industries such as finance, healthcare, and retail. The integration of high-processing NPUs is one of the key drivers for the AI PC market. These NPUs have enabled the development of advanced AI PCs that are capable of handling complex computations involved in AI tasks. Additionally, the growing necessity to make a data-driven approach toward decision-making and automation is fuelling the demand for Al-powered PCs in the enterprise sector. Further, the demand for AI PCs in the enterprise sector is rising as most enterprises are dealing with increasing amounts of data.

Attractive Opportunities in the AI PC Market

ASIA PACIFIC

Asia Pacific is expected to account for the largest share of 35.7% of the AI PC market in 2030.

The growing demand for AI- based gaming PCs is expected to fuel the market growth in the coming years

Government-led investments in AI R&D to boost digital transformation is projected fuel AI PC market growth in Asia Pacific.

Product launches and partnerships would offer lucrative opportunities for market players in the next five years.

Apple Inc. (US), Dell Inc. (US), HP Development Company, L.P. (US), Lenovo (China), ASUSTeK Computer Inc. (Taiwan) are the major players in the AI PC market in Asia Pacific. .

AI PC Market Trends & Dynamics

DRIVER: Advancements in GenAI and ML

The rapid progress in Generative Al and ML technologies is one of the key factors driving the growth of the Al PC market. It has been revolutionized by the development of sophisticated deep learning and ML algorithms pertaining to the way Al systems are able to process and analyze very high amounts of data.

The introduction of purpose-built hardware components, like the neural processing unit (NPU) and graphics processing unit (GPU), has surely improved the pace of Al PCs. To be more specific, these chips are engineered to speed up particular Al computations so that Al PCs can perform complex algorithms quickly with fewer power consumptions. Incorporation of such hardware into normal PCs renders the consumption of Al-powered applications more feasible and accessible for end-users. For example, the development of specialized-purpose GPUs by NVIDIA Corporation (US), along with Al-specific processors from other companies such as Intel Corporation (US) and Advanced Micro Devices, Inc (US)., has also enhanced the processing speed of Al-capable PCs. Furthermore, recent breakthroughs in NLP are making Al PCs mimic human performance in reading and writing natural language; as NLP capabilities continue to be enhanced, so will applications of Al PCs.

RESTRAINT: Lack of trained manpower

Training and deployment of Al models require a lot of experience in data collection, cleaning, analysis, and visualization. Knowledge of machine learning algorithms, techniques, and frameworks is required for building and optimization of Al models. In addition, building highly complex applications using Al requires a basic knowledge of deep learning architectures of neural networks and convolutional neural networks. Despite this ever-increasing demand, there is a severe lack of trained manpower in these fields. This skill gap prevents the effective utilization of Al PCs across all sectors and can lead to sub-optimally executed Al solutions. Companies cannot provide fitting training to the employees that cater to Al technologies because developing and implementing the right training program that ties up with certain needs of the employees is time-consuming and costly. The Al environment itself continuously evolves with new tools, frameworks, and methodologies. Hence, it is challenging to keep the current workforce updated with new developments as it requires constant training and development, which strains resources. Additionally, it is leading to a rise in costs for companies as due to the lack of trained manpower; companies are willing to pay extra for resources that have expertise in AI technologies, especially Generative AI.

 

OPPORTUNITY: Increasing adoption of AI PCs in enterprise

The rising adoption of Al PCs in enterprises is one of the significant opportunities for the AI PC market, as business firms across different sectors are realizing the potential benefits of improving productivity, efficiency, and innovation through Al. Advanced systems could process and analyze large volumes of structured and unstructured data for insights into enhanced decision-making, risk management, and strategic planning processes.

Almost all mundane tasks, including data input, answering customers' queries, and processing files, can be accelerated by Al PCs. Working closely with AI-based CRM systems, ERP packages, and intelligent automation platforms allows significant improvements in the efficiency of a workspace. Predictive models predicting market and consumer behavior and dynamics within the supply chain are also enabled by AI PCs. This will enable firms to make very well-informed decisions, optimize inventory levels, and better meet customer requirements. Industries such as retail, manufacturing, and finance would be positively affected if Al-powered PCs were in place for predictive analytics. For instance, the education sector also holds immense potential for the market, as Generative AI and adaptive learning technologies can totally transform the way we learn by creating engaging/interactive learning materials and personalizing learning experiences.

CHALLENGES: High Costs of AI-optimized Hardware

AI PCs are generally more hardware-intensive, requiring a high specification or a more substantial range of CPUs, GPUs, NPUs, or TPUs that are more expensive than standard components. Increasingly high-level graphics cards and processor systems tend to push up the cost levels of these PCs, which, therefore, tends to remain elusive to consumer pockets and smaller businesses. For example, Apple Inc. (US) iMac costs around USD 1,299, its Mac Studio model prices around USD 1,999, and its Mac mini prices around USD 1,299.

Microsoft (US) AI PCs such as Surface laptop Studio 2 are also valued at around USD 1,999. Similarly, Dell Inc.'s (US) Latitude 5450 costs around USD 1,289, HP Development Company, L.P. (US) HP Spectre x360 14" costs around USD 2,677, and Lenovo's (China) IdeaPad Slim 5 costs around USD 930. However, AI PC manufacturers are working toward making AI PCs more cost-effective in the coming years. For instance, most of Lenovo's initial AI PC models are priced above USD 1,000, but the company plans to launch more affordable AI PC models priced at USD 700 or less in the future.

AI PC Market Ecosystem Analysis

The AI PC market consists of five distinct phases. These include R&D engineers and developers, who are responsible for the research and development of new AI features and technologies. Component manufacturers create hardware such as AI-specific processors and GPUs. Software developers provide AI-driven applications and operating systems. Assembly and system integrators are involved in integrating hardware and software into functional AI-enabled PCs. Finally, distributors bring products to the market, while post-sale support and service providers ensure continuous customer satisfaction and updates.

 

Desktop/Notebook segment is expected to hold largest market share in AI PC market during forecast period

Due to the widespread application of desktops/notebooks in consumer and enterprise segments, desktops and notebooks are expected to dominate the AI PC market share during the forecast period. They are mainly based on a powerful hardware configuration, making them feasible for any high computational complexity AI algorithms demand. With the advancement of AI hardware, such as improved GPUs and specialized processors, desktops and notebooks are increasingly becoming powerful enough to process complex AI workloads. Much preferred by users in industries, their advantage now generally pertains to economies of scale in labor and resources. For instance, the G15 Gaming Laptop by Dell Inc. (US) features Intel Core processors alongside an NVIDIA GeForce RTX Laptop GPU to play locally and lag-free with up to 16GB of DDR5 memory and up to 1TB of internal storage, making it ideal for gaming enthusiasts. The integration of NPUs and enhanced GPUs in desktops and notebooks enable on-device Al processing, improving performance for tasks such as real-time data analysis, image recognition, and natural language processing. This technological advancement is crucial for meeting the evolving needs of consumers and businesses alike.

Windows segment is expected to hold largest market share in AI PC market during forecast period

By 2030, the Windows OS segment is projected to hold the largest market share in the AI PC market. A number of PC manufacturers, such as Dell Inc. (US), Lenovo (China), and ASUSTeK Computer Inc. (China), whose major focus is on Windows OS-based PC, are expected to launch various AI PC models during the forecast period. Windows is the most widely adopted OS in both personal and professional environments due to its compatibility with numerous AI applications and hardware configurations, which makes it ideal for a diversified user base. All PCs based on the Windows operating system are at the forefront of technological innovation and are driven by features that enhance user experience and productivity. For instance, in May 2024, Microsoft (US) announced a new category of Windows PCs designed for Al, Copilot+ PCs. Copilot+ PCs are one of the fastest Windows PCs, with new silicon capable of 40+ TOPS (trillion operations per second), all-day battery life, and access to advanced AI models. In addition, software and peripherals across a wide variety of developers are supported by Windows OS, making it the preferred platform for AI-enabled PCs in both consumer and business markets.

In 2030 Asia Pacific is Expected to Register Highest CAGR in AI PC Market

Asia Pacific is expected to register the highest CAGR in 2030, driven by rapid technological adoption, rising disposable incomes, and growing demand for AI-powered devices across markets in countries like China, India, Japan, and South Korea. The investments in AI R&D, supplemented by robust government initiatives for digital transformation, are further fuelling the growth of the market. Asia Pacific is also likely to be a big hub for AI PC innovations due to the fast-growing technology-friendly population and the massive hardware manufacturers.

Moreover, the region has witnessed significant advancements in AI research, development, and deployment. For instance, China's "Next Generation Artificial Intelligence Development Plan" aims to establish the country as a global leader in AI by 2030, fostering a robust ecosystem for AI PC development and deployment. Similar initiatives in South Korea and Japan further contribute to expanding AI capabilities, directly influencing the demand for AI PCs in the region. Countries such as China, Japan, South Korea, and Singapore are investing heavily in AI research and infrastructure. These nations have fostered strong partnerships between academia, industry, and government, leading to breakthroughs in machine learning, natural language processing, computer vision, and robotics.

HIGHEST CAGR MARKET IN 2023
INDIA FASTEST-GROWING MARKET IN THE REGION

Recent Developments of AI PC Market

  • In January 2024, Dell Inc. introduced XPS laptops, with supercharged performance for complex workloads and featuring the Intel Core Ultra processors and NVIDIA GeForce RTX GPUs (up to the GeForce RTX 4070 GPU), in the XPS 16 with up to 80W of sustained performance.
  • In September 2024, Lenovo announced the launch of a series of products at Lenovo Innovation World 2024, each designed for professional computing and artificial intelligence. The Lenovo ThinkPad X1 Carbon Gen 13 Aura Edition, ThinkPad T14s Gen 6 AMD, and ThinkBook 16 Gen 7 and Gen 7+, Lenovo Auto Twist AI PC is designed to deliver cutting-edge technology, enhanced user experiences, and productivity and creativity for enterprise customers.
  • In May 2024, Apple Inc. (US) introduced the SoC M4 chip for iPad Pro with cutting-edge AI processing capabilities. It is built on second-generation 3 nm technology. It enables the thin design of iPad Pro. It features a 10-core CPU. It has the fastest neural engine, capable of 38 trillion operations per second.
  • In August 2024, AMD acquired ZT Systems to expand its Data Center AI Systems Capabilities. The strategic acquisition marks AMD's AI strategy to deliver leadership AI training and inferencing solutions based on innovation across silicon, software, and systems.
  • In September 2024, Dell Inc. and Red Hat collaborated to fuel Open-Source AI workloads on Dell PowerEdge and Red Hat Enterprise Linux AI. This collaboration will help organizations to more readily implement successful artificial intelligence and machine learning (AI/ML) strategies to scale their IT systems and power enterprise applications across their businesses.

Key Market Players

Scope of the AI PC Market

Report Attribute Details
Estimated Market Size
USD 50.61 billion in 2024
Projected Market Size USD 231.30 billion by 2030
Growth Rate  CAGR of 28.82%
Market size available for years 2024—2030
Forecast units USD Million/USD Billion, Million Units
Segments Covered By Product, End User, Operating System, Compute Type, Compute Architecture, Price and Region
Geographies covered North America, Europe, Asia Pacific, and RoW

Key Questions Addressed by the Report

What are the key strategies adopted by established players in the AI PC market?
Product launches, partnerships, acquisitions, and collaborations have been and continue to be some of the major strategies the key players adopt to grow in the AI PC market.
Which region dominates the AI PC market share during the forecast period?
The Asia Pacific region is expected to dominate the AI PC market in 2030.
Which product dominates the AI PC market during the forecast period?
The desktops/notebooks segment is expected to dominate the AI PC market during the forecast period.
Which end user dominates the AI PC market during the forecast period?
The enterprise segment is expected to have the largest market size during the forecast period.
Who are the major companies in the AI PC market?
The major players in AI PC include Apple Inc. (US), Dell Inc. (US), HP Development Company, L.P. (US), Lenovo (China), and ASUSTeK Computer Inc. (China), among others.

 

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
20
RESEARCH METHODOLOGY
25
EXECUTIVE SUMMARY
37
PREMIUM INSIGHTS
40
MARKET OVERVIEW
43
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Adoption of digital platforms
    - Advancements in GenAI and ML
    - Expanding gaming industry
    RESTRAINTS
    - Shortage of qualified professionals
    - Requirement of specialized hardware components
    OPPORTUNITIES
    - Increasing adoption in commercial sector
    - Integration into IoT ecosystem
    CHALLENGES
    - High costs of AI-optimized hardware
  • 5.3 SUPPLY CHAIN ANALYSIS
  • 5.4 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.5 ECOSYSTEM ANALYSIS
  • 5.6 GLOBAL PC SHIPMENT FORECAST
  • 5.7 PORTER'S FIVE FORCES ANALYSIS
    THREAT OF NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    INTENSITY OF COMPETITION RIVALRY
  • 5.8 KEY STAKEHOLDERS AND BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
  • 5.9 CASE STUDY ANALYSIS
    INTEL INTEGRATED AI INTO NEW GENERATION OF PCS THAT ENHANCED SPEED AND SECURITY
    DELL WORKSTATIONS DEPLOYED NVIDIA GPUS THAT BOOSTED AI PERFORMANCE AND COMPUTATIONAL POWER
    ACER DELIVERED TRAVELMATE SPIN B3 LAPTOPS TO VARIETAS THAT ENHANCED LEARNING EXPERIENCE
  • 5.10 INVESTMENT AND FUNDING SCENARIO
  • 5.11 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - Edge AI
    - Processors used in AI PC
    COMPLEMENTARY TECHNOLOGIES
    - High bandwidth memory
    ADJACENT TECHNOLOGIES
    - Integration of AI accelerators
  • 5.12 TRADE ANALYSIS
    IMPORT DATA (HS CODE 847141)
    EXPORT DATA (HS CODE 847141)
  • 5.13 PATENT ANALYSIS
  • 5.14 TARIFF AND REGULATORY LANDSCAPE
    TARIFF ANALYSIS
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    REGULATORY STANDARDS
  • 5.15 KEY CONFERENCES AND EVENTS, 2024–2025
  • 5.16 PRICING ANALYSIS
    INDICATIVE PRICING OF KEY PLAYERS, BY PRODUCT, 2023
    INDICATIVE PRICING OF DESKTOPS/NOTEBOOKS AND WORKSTATIONS, BY REGION, 2023 (USD)
MARKET, BY PRODUCT
79
  • 6.1 INTRODUCTION
  • 6.2 DESKTOP/NOTEBOOK
    INTEGRATION OF NPUS AND ENHANCED GPUS TO OFFER LUCRATIVE GROWTH OPPORTUNITIES
  • 6.3 WORKSTATION
    ADOPTION OF AI IN FINANCE AND HEALTHCARE SECTORS TO DRIVE MARKET
AI PC MARKET, BY OPERATING SYSTEM
85
  • 7.1 INTRODUCTION
  • 7.2 WINDOWS
    GROWING DEMAND FOR USER-FRIENDLY INTERFACE TO FUEL MARKET GROWTH
  • 7.3 MACOS
    EASY INTEGRATION OF ML MODELS INTO APPS TO ACCELERATE DEMAND
  • 7.4 OTHERS
MARKET, BY COMPUTE ARCHITECTURE
89
  • 8.1 INTRODUCTION
  • 8.2 X86
    ABILITY TO SUPPORT LARGE AMOUNT OF RAM TO BOOST DEMAND
  • 8.3 ARM
    RISING NEED TO MAINTAIN BALANCE BETWEEN POWER EFFICIENCY AND PROCESSING CAPABILITIES TO FUEL MARKET GROWTH
MARKET, BY COMPUTE TYPE
92
  • 9.1 INTRODUCTION
  • 9.2 GPU
    ABILITY TO PROCESS LARGE MATRICES AND COMPLEX COMPUTATIONS IN AI ALGORITHMS TO DRIVE MARKET
  • 9.3 NPU
    RISING WORKLOAD IN DEEP LEARNING AND ML TO BOOST DEMAND
    - <40 tops
    - 40–60 tops
    MARKET, BY PRICE
AI PC MARKET, BY PRICE
95
  • 10.1 INTRODUCTION
  • 10.2 LESS THAN USD 1,200
    INCREASING ADOPTION FOR LESS COMPLEX MODELS TO DRIVE MARKET
  • 10.3 USD 1,200 AND ABOVE
    GROWING ADOPTION AMONG RESEARCHERS TO FOSTER MARKET GROWTH
MARKET, BY END USER
99
  • 11.1 INTRODUCTION
  • 11.2 CONSUMER
    GROWING POPULARITY OF ESPORTS AND VR TO BOOST DEMAND
  • 11.3 ENTERPRISE
    IMPROVED PRODUCTIVITY THROUGH WORKFLOW AUTOMATION AND INTELLIGENT DECISION-MAKING TO DRIVE MARKET
AI PC MARKET, BY REGION
106
  • 12.1 INTRODUCTION
  • 12.2 NORTH AMERICA
    MACROECONOMIC OUTLOOK FOR NORTH AMERICA
    US
    - Government-led initiatives to boost AI development to foster market growth
    CANADA
    - Growing emphasis on developing digital economy to fuel market growth
    MEXICO
    - Increasing shift toward digital platforms to accelerate demand
  • 12.3 EUROPE
    MACROECONOMIC OUTLOOK FOR EUROPE
    UK
    - Development of data centers to boost demand
    GERMANY
    - Surging adoption of AI in automotive, manufacturing, and healthcare sectors to drive market
    ITALY
    - Growing need for advanced data processing methods to offer lucrative growth opportunities
    FRANCE
    - Increasing collaborations between academia, industry, and government to foster market growth
    REST OF EUROPE
  • 12.4 ASIA PACIFIC
    MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
    CHINA
    - Rising initiatives to develop and deploy AI PCs to accelerate demand
    JAPAN
    - Expanding data center infrastructure to offer lucrative growth opportunities
    INDIA
    - Rising e-governance to offer lucrative growth opportunities
    SOUTH KOREA
    - Government-led initiatives to boost AI infrastructure to drive market
    REST OF ASIA PACIFIC
  • 12.5 ROW
    MACROECONOMIC OUTLOOK FOR ROW
    MIDDLE EAST & AFRICA
    - Increasing demand for AI infrastructure to drive market
    - GCC countries
    - Rest of Middle East & Africa
    SOUTH AMERICA
    - Rapid technological advancements to foster market growth
COMPETITIVE LANDSCAPE
133
  • 13.1 OVERVIEW
  • 13.2 STRATEGIES ADOPTED BY KEY PLAYERS, 2022–2024
  • 13.3 REVENUE ANALYSIS OF KEY PLAYERS, 2021–2023
  • 13.4 MARKET SHARE ANALYSIS OF KEY PLAYERS, 2023
  • 13.5 COMPANY VALUATION AND FINANCIAL METRICS
  • 13.6 BRAND/PRODUCT COMPARISON
  • 13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2023
    - Company footprint
    - Product footprint
    - End user footprint
    - Operating system footprint
    - Compute type footprint
    - Price footprint
    - Region footprint
  • 13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
    - Detailed list of key startups/SMEs
    - Competitive benchmarking of key startups/SMEs
  • 13.9 COMPETITIVE SCENARIOS
    PRODUCT LAUNCHES
    DEALS
    EXPANSIONS
    OTHERS
COMPANY PROFILES
156
  • 14.1 KEY PLAYERS
    APPLE INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    DELL INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    LENOVO
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    HP DEVELOPMENT COMPANY, L.P.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    ASUSTEK COMPUTER INC.
    - Business overview
    - Products/Solutions/Services offered
    - MnM view
    INTEL CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    ADVANCED MICRO DEVICES, INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    NVIDIA CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    MICROSOFT
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    ACER INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
  • 14.2 OTHER PLAYERS
    FUJITSU
    HUAWEI TECHNOLOGIES CO., LTD.
    GIGA-BYTE TECHNOLOGY CO., LTD.
    MICRO-STAR INT'L CO., LTD.
    SUPER MICRO COMPUTER, INC.
    LAMBDA, INC.
    IBM CORPORATION
    BOXX
    CORSAIR
    PUGET SYSTEMS
    RAZER INC.
    SYSTEM76, INC.
    GROQ, INC.
    HAILO TECHNOLOGIES LTD
    BLAIZE
APPENDIX
212
  • 15.1 DISCUSSION GUIDE
  • 15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 15.3 CUSTOMIZATION OPTIONS
  • 15.4 RELATED REPORTS
  • 15.5 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 AI PC MARKET: RISK ASSESSMENT
  • TABLE 2 ROLE OF KEY PLAYERS IN AI PC ECOSYSTEM
  • TABLE 3 MARKET: PORTER'S FIVE FORCES ANALYSIS
  • TABLE 4 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP TWO END USERS (%)
  • TABLE 5 KEY BUYING CRITERIA FOR TOP TWO END USERS
  • TABLE 6 IMPORT DATA FOR HS CODE 847141-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023 (USD THOUSANDS)
  • TABLE 7 EXPORT DATA FOR HS CODE 847141-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023 (USD THOUSANDS)
  • TABLE 8 PATENT REGISTRATIONS, 2022–2024
  • TABLE 9 TARIFF FOR HS CODE 847141-COMPLIANT PRODUCTS EXPORTED BY CHINA, 2023
  • TABLE 10 TARIFF FOR HS CODE 847141-COMPLIANT PRODUCTS EXPORTED BY US, 2023
  • TABLE 11 TARIFF FOR HS CODE 847141-COMPLIANT PRODUCTS EXPORTED BY GERMANY, 2023
  • TABLE 12 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 13 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 14 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 15 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 16 REGULATORY STANDARDS RELATED TO MARKET
  • TABLE 17 MARKET: CONFERENCES AND EVENTS, 2024–2025
  • TABLE 18 INDICATIVE PRICING OF DESKTOPS/NOTEBOOKS OFFERED BY KEY PLAYERS, 2023 (USD)
  • TABLE 19 INDICATIVE PRICING OF WORKSTATIONS OFFERED BY KEY PLAYERS, 2023 (USD)
  • TABLE 20 INDICATIVE PRICING OF DESKTOPS/NOTEBOOKS AND WORKSTATIONS, BY REGION, 2023 (USD)
  • TABLE 21 MARKET, BY PRODUCT, 2023–2030 (USD MILLION)
  • TABLE 22 AI PC MARKET, BY PRODUCT, 2023–2030 (MILLION UNITS)
  • TABLE 23 DESKTOP/NOTEBOOK: MARKET, BY COMPUTE TYPE, 2023–2030 (USD MILLION)
  • TABLE 24 DESKTOP/NOTEBOOK: MARKET, BY PRICE, 2023–2030 (USD MILLION)
  • TABLE 25 DESKTOP/NOTEBOOK: MARKET, BY END USER, 2023–2030 (MILLION UNITS)
  • TABLE 26 DESKTOP/NOTEBOOK: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 27 WORKSTATION: MARKET, BY COMPUTE TYPE, 2023–2030 (USD MILLION)
  • TABLE 28 WORKSTATION: MARKET, BY PRICE, 2023–2030 (USD MILLION)
  • TABLE 29 WORKSTATION: MARKET, BY END USER, 2023–2030 (MILLION UNITS)
  • TABLE 30 WORKSTATION: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 31 MARKET, BY OPERATING SYSTEM, 2023–2030 (USD MILLION)
  • TABLE 32 MARKET, BY COMPUTE ARCHITECTURE, 2023–2030 (USD MILLION)
  • TABLE 33 MARKET, BY COMPUTE TYPE, 2023–2030 (USD MILLION)
  • TABLE 34 MARKET, BY PRICE, 2023–2030 (USD MILLION)
  • TABLE 35 LESS THAN USD 1,200: MARKET, BY REGION, 2023–2030 (USD MILLION)
  • TABLE 36 USD 1,200 AND ABOVE: MARKET, BY REGION, 2023–2030 (USD MILLION)
  • TABLE 37 MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 38 MARKET, BY END USER, 2023–2030 (MILLION UNITS)
  • TABLE 39 CONSUMER: MARKET, BY REGION, 2023–2030 (USD MILLION)
  • TABLE 40 CONSUMER: MARKET IN NORTH AMERICA, BY COUNTRY, 2023–2030 (USD MILLION)
  • TABLE 41 CONSUMER: MARKET IN EUROPE, BY COUNTRY, 2023–2030 (USD MILLION)
  • TABLE 42 CONSUMER: MARKET IN ASIA PACIFIC, BY COUNTRY, 2023–2030 (USD MILLION)
  • TABLE 43 CONSUMER: MARKET IN ROW, BY REGION, 2023–2030 (USD MILLION)
  • TABLE 44 CONSUMER: MARKET IN ROW, BY PRODUCT, 2023–2030 (USD MILLION)
  • TABLE 45 ENTERPRISE: MARKET, BY REGION, 2023–2030 (USD MILLION)
  • TABLE 46 ENTERPRISE: MARKET IN NORTH AMERICA, BY COUNTRY, 2023–2030 (USD MILLION)
  • TABLE 47 ENTERPRISE: MARKET IN EUROPE, BY COUNTRY, 2023–2030 (USD MILLION)
  • TABLE 48 ENTERPRISE: MARKET IN ASIA PACIFIC, BY COUNTRY, 2023–2030 (USD MILLION)
  • TABLE 49 ENTERPRISE: MARKET IN ROW, BY REGION, 2023–2030 (USD MILLION)
  • TABLE 50 ENTERPRISE: MARKET IN ROW, BY PRODUCT, 2023–2030 (USD MILLION)
  • TABLE 51 AI PC MARKET, BY REGION, 2023–2030 (USD MILLION)
  • TABLE 52 NORTH AMERICA: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 53 NORTH AMERICA: MARKET, BY PRICE, 2023–2030 (USD MILLION)
  • TABLE 54 NORTH AMERICA: MARKET, BY COUNTRY, 2023–2030 (USD MILLION)
  • TABLE 55 US: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 56 US: MARKET, BY PRICE, 2023–2030 (USD MILLLION)
  • TABLE 57 CANADA: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 58 CANADA: MARKET, BY PRICE, 2023–2030 (USD MILLLION)
  • TABLE 59 MEXICO: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 60 MEXICO: MARKET, BY PRICE, 2023–2030 (USD MILLLION)
  • TABLE 61 EUROPE: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 62 EUROPE: MARKET, BY PRICE, 2023–2030 (USD MILLION)
  • TABLE 63 EUROPE: MARKET, BY COUNTRY, 2023–2030 (USD MILLION)
  • TABLE 64 UK: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 65 UK: MARKET, BY PRICE, 2023–2030 (USD MILLLION)
  • TABLE 66 GERMANY: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 67 GERMANY: MARKET, BY PRICE, 2023–2030 (USD MILLLION)
  • TABLE 68 ITALY: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 69 ITALY: MARKET, BY PRICE, 2023–2030 (USD MILLLION)
  • TABLE 70 FRANCE: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 71 FRANCE: MARKET, BY PRICE, 2023–2030 (USD MILLLION)
  • TABLE 72 REST OF EUROPE: AI PC MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 73 REST OF EUROPE: MARKET, BY PRICE, 2023–2030 (USD MILLLION)
  • TABLE 74 ASIA PACIFIC: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 75 ASIA PACIFIC: MARKET, BY PRICE, 2023–2030 (USD MILLION))
  • TABLE 76 ASIA PACIFIC: MARKET, BY COUNTRY, 2023–2030 (USD MILLION)
  • TABLE 77 CHINA: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 78 CHINA: MARKET, BY PRICE, 2023–2030 (USD MILLLION)
  • TABLE 79 JAPAN: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 80 JAPAN: MARKET, BY PRICE, 2023–2030 (USD MILLLION)
  • TABLE 81 INDIA: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 82 INDIA: MARKET, BY PRICE, 2023–2030 (USD MILLLION)
  • TABLE 83 SOUTH KOREA: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 84 SOUTH KOREA: MARKET, BY PRICE, 2023–2030 (USD MILLLION)
  • TABLE 85 REST OF ASIA PACIFIC: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 86 REST OF ASIA PACIFIC: MARKET, BY PRICE, 2023–2030 (USD MILLLION)
  • TABLE 87 ROW: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 88 ROW: MARKET, BY PRICE, 2023–2030 (USD MILLION)
  • TABLE 89 ROW: MARKET, BY REGION, 2023–2030 (USD MILLION)
  • TABLE 90 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2023–2030 (USD MILLION)
  • TABLE 91 MIDDLE EAST & AFRICA: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 92 MIDDLE EAST & AFRICA: MARKET, BY PRICE, 2023–2030 (USD MILLLION)
  • TABLE 93 GCC COUNTRIES: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 94 REST OF MIDDLE EAST & AFRICA: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 95 SOUTH AMERICA: MARKET, BY END USER, 2023–2030 (USD MILLION)
  • TABLE 96 SOUTH AMERICA: MARKET, BY PRICE, 2023–2030 (USD MILLLION)
  • TABLE 97 OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS, 2023–2024
  • TABLE 98 AI PC MARKET: DEGREE OF COMPETITION
  • TABLE 99 MARKET: PRODUCT FOOTPRINT
  • TABLE 100 MARKET: END USER FOOTPRINT
  • TABLE 101 MARKET: OPERATING SYSTEM FOOTPRINT
  • TABLE 102 MARKET: COMPUTE TYPE FOOTPRINT
  • TABLE 103 MARKET: PRICE FOOTPRINT
  • TABLE 104 MARKET: REGION FOOTPRINT
  • TABLE 105 MARKET: LIST OF KEY STARTUPS/SMES
  • TABLE 106 MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
  • TABLE 107 MARKET: PRODUCT LAUNCHES, JANUARY 2023–SEPTEMBER 2024
  • TABLE 108 MARKET: DEALS, JANUARY 2023–SEPTEMBER 2024
  • TABLE 109 MARKET: EXPANSIONS, JANUARY 2023–SEPTEMBER 2024
  • TABLE 110 MARKET: OTHERS, JANUARY 2023–SEPTEMBER 2024
  • TABLE 111 APPLE INC.: COMPANY OVERVIEW
  • TABLE 112 APPLE INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 113 APPLE INC.: PRODUCT LAUNCHES
  • TABLE 114 APPLE INC.: DEALS
  • TABLE 115 DELL INC.: COMPANY OVERVIEW
  • TABLE 116 DELL INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 117 DELL INC.: PRODUCT LAUNCHES
  • TABLE 118 DELL INC.: DEALS
  • TABLE 119 DELL INC.: EXPANSIONS
  • TABLE 120 LENOVO: COMPANY OVERVIEW
  • TABLE 121 LENOVO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 122 LENOVO: PRODUCT LAUNCHES
  • TABLE 123 LENOVO: DEALS
  • TABLE 124 HP DEVELOPMENT COMPANY, L.P.: COMPANY OVERVIEW
  • TABLE 125 HP DEVELOPMENT COMPANY, L.P.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 126 HP DEVELOPMENT COMPANY, L.P.: PRODUCT LAUNCHES
  • TABLE 127 ASUSTEK COMPUTER INC.: COMPANY OVERVIEW
  • TABLE 128 ASUSTEK COMPUTER INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 129 INTEL CORPORATION: COMPANY OVERVIEW
  • TABLE 130 INTEL CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 131 INTEL CORPORATION: PRODUCT LAUNCHES
  • TABLE 132 INTEL CORPORATION: DEALS
  • TABLE 133 INTEL CORPORATION: OTHERS
  • TABLE 134 ADVANCED MICRO DEVICES, INC.: COMPANY OVERVIEW
  • TABLE 135 ADVANCED MICRO DEVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 136 ADVANCED MICRO DEVICES, INC.: PRODUCT LAUNCHES
  • TABLE 137 ADVANCED MICRO DEVICES, INC.: DEALS
  • TABLE 138 ADVANCED MICRO DEVICES, INC.: EXPANSIONS
  • TABLE 139 NVIDIA CORPORATION: COMPANY OVERVIEW
  • TABLE 140 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 141 NVIDIA CORPORATION: PRODUCT LAUNCHES
  • TABLE 142 NVIDIA CORPORATION: DEALS
  • TABLE 143 MICROSOFT: COMPANY OVERVIEW
  • TABLE 144 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 145 MICROSOFT: DEALS
  • TABLE 146 MICROSOFT: OTHERS
  • TABLE 147 ACER INC.: COMPANY OVERVIEW
  • TABLE 148 ACER INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 149 ACER INC.: PRODUCT LAUNCHES
LIST OF FIGURES
 
  • FIGURE 1 AI PC MARKET SEGMENTATION AND REGIONAL SCOPE
  • FIGURE 2 MARKET: RESEARCH DESIGN
  • FIGURE 3 MARKET: RESEARCH FLOW OF MARKET SIZE ESTIMATION
  • FIGURE 4 MARKET: BOTTOM-UP APPROACH
  • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY (SUPPLY-SIDE): REVENUE GENERATED BY AI PC MANUFACTURERS
  • FIGURE 6 AI DESKTOP/NOTEBOOK MARKET SIZE ESTIMATION: TOP-DOWN APPROACH (DEMAND SIDE)
  • FIGURE 7 MARKET: TOP-DOWN APPROACH
  • FIGURE 8 DATA TRIANGULATION
  • FIGURE 9 WORKSTATION SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 10 WINDOWS SEGMENT TO LEAD MARKET IN 2030
  • FIGURE 11 CONSUMER SEGMENT TO DISPLAY HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 12 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
  • FIGURE 13 ONGOING DEVELOPMENTS IN AI AND ML TO DRIVE MARKET
  • FIGURE 14 DESKTOP/NOTEBOOK SEGMENT TO HOLD LARGER MARKET SHARE IN 2024
  • FIGURE 15 ENTERPRISES SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
  • FIGURE 16 LESS THAN USD 1,200 SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 17 CHINA AND ENTERPRISES SEGMENT TO HOLD LARGEST MARKET SHARES IN 2024
  • FIGURE 18 INDIA TO RECORD HIGHEST CAGR IN AI PC MARKET DURING FORECAST PERIOD
  • FIGURE 19 MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 20 MARKET: IMPACT ANALYSIS OF DRIVERS
  • FIGURE 21 MARKET: IMPACT ANALYSIS OF RESTRAINTS
  • FIGURE 22 MARKET: IMPACT ANALYSIS OF OPPORTUNITIES
  • FIGURE 23 MARKET: IMPACT ANALYSIS OF CHALLENGES
  • FIGURE 24 MARKET: SUPPLY CHAIN
  • FIGURE 25 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 26 AI PC ECOSYSTEM
  • FIGURE 27 GLOBAL PC SHIPMENT FORECAST, 2020–2030
  • FIGURE 28 MARKET: PORTER'S FIVE FORCES ANALYSIS
  • FIGURE 29 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP TWO END USERS
  • FIGURE 30 KEY BUYING CRITERIA FOR TOP TWO END USERS
  • FIGURE 31 INVESTMENT AND FUNDING SCENARIO
  • FIGURE 32 IMPORT DATA FOR HS CODE 847141-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023
  • FIGURE 33 EXPORT DATA FOR HS CODE 847141-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023
  • FIGURE 34 NUMBER OF PATENTS APPLIED AND GRANTED, 2013–2023
  • FIGURE 35 INDICATIVE PRICING OF PRODUCTS OF KEY PLAYERS, 2023
  • FIGURE 36 WORKSTATION SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 37 WINDOWS SEGMENT TO HOLD LARGEST MARKET SHARE IN 2030
  • FIGURE 38 X86 SEGMENT TO HOLD LARGER MARKET SHARE IN 2030
  • FIGURE 39 NPU SEGMENT TO HOLD LARGER MARKET SHARE IN 2030
  • FIGURE 40 USD 1,200 AND ABOVE PRICE RANGE TO HOLD LARGER MARKET SHARE IN 2024
  • FIGURE 41 ENTERPRISE SEGMENT TO HOLD LARGER MARKET SHARE IN 2024
  • FIGURE 42 ASIA PACIFIC TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 43 NORTH AMERICA: AI PC MARKET SNAPSHOT
  • FIGURE 44 EUROPE: MARKET SNAPSHOT
  • FIGURE 45 ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 46 MARKET: REVENUE ANALYSIS OF KEY PLAYERS, 2021–2023
  • FIGURE 47 MARKET: SHARE OF KEY PLAYERS, 2023
  • FIGURE 48 MARKET: COMPANY VALUATION
  • FIGURE 49 MARKET: FINANCIAL METRICS
  • FIGURE 50 BRAND/PRODUCT COMPARISON OF MAJOR COMPANIES
  • FIGURE 51 MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
  • FIGURE 52 MARKET: COMPANY FOOTPRINT
  • FIGURE 53 MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023
  • FIGURE 54 APPLE INC.: COMPANY SNAPSHOT
  • FIGURE 55 DELL INC.: COMPANY SNAPSHOT
  • FIGURE 56 LENOVO: COMPANY SNAPSHOT
  • FIGURE 57 HP DEVELOPMENT COMPANY, L.P.: COMPANY SNAPSHOT
  • FIGURE 58 ASUSTEK COMPUTER INC.: COMPANY SNAPSHOT
  • FIGURE 59 INTEL CORPORATION: COMPANY SNAPSHOT
  • FIGURE 60 ADVANCED MICRO DEVICES, INC.: COMPANY SNAPSHOT
  • FIGURE 61 NVIDIA CORPORATION: COMPANY SNAPSHOT
  • FIGURE 62 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 63 ACER INC.: COMPANY SNAPSHOT

 

The study involved major activities in estimating the current market size for the AI PC market. Exhaustive secondary research was done to collect information on the AI PC industry. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain using primary research. Different approaches, such as top-down and bottom-up, were employed to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the AI PC market.

Secondary Research

The market for the companies offering AI PCs is arrived at by secondary data available through paid and unpaid sources, analyzing the product portfolios of the major companies in the ecosystem, and rating the companies by their performance and quality. Various sources were referred to in the secondary research process to identify and collect sinformation for this study. The secondary sources include annual reports, press releases, investor presentations of companies, white papers, journals, certified publications, and articles from recognized authors, directories, and databases.

In the secondary research process, various secondary sources were referred to for identifying and collecting information related to the study. Secondary sources included annual reports, press releases, and investor presentations of AI PC vendors, forums, certified publications, and whitepapers. The secondary research was used to obtain critical information on the industry’s value chain, the total pool of key players, market classification, and segmentation from the market and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various key companies and organizations operating in the AI PC market.

After the complete market engineering (calculations for market statistics, market breakdown, market size estimations, market forecasting, and data triangulation), extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. Primary research was also conducted to identify the segmentation types, industry trends, competitive landscape of AI PCs offered by various market players, and key market dynamics, such as drivers, restraints, opportunities, challenges, industry trends, and key player strategies.

In the complete market engineering process, the top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform the market estimation and market forecasting for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to list the key information/insights throughout the report.

About the assumptions considered for the study, To know download the pdf brochure

Market Size Estimation

Both top-down and bottom-up approaches were used to estimate and validate the total size of the AI PC market. These methods were also used extensively to estimate the size of various subsegments in the market. The research methodology used to estimate the market size includes the following:

AI PC Market : Top-Down and Bottom-Up Approach

Data Triangulation

After arriving at the overall market size using the market size estimation processes explained above, the market was split into several segments and subsegments. The data triangulation and market breakup procedures were employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment. The data was triangulated by studying various factors and trends from both the demand and supply sides.

Market Definition

An AI PC is defined as any laptop, desktop, or workstation which has Neural Processing Unit (NPU) or a GPU (Graphics Processing Unit) designed specifically for AI task, which enable them to perform AI-related computations more efficiently than standard PCs. These devices are designed to handle machine learning, data analysis, and other AI-driven applications that require significant computational power. It can be optimized for various forms of AI, a core focus at the outset is on enabling support for generative AI models and services.

Key Stakeholders

  • Hardware Manufacturers
  • Software Developers
  • System Integrators
  • Retailers and Distributors
  • Government Councils
  • Standardization Bodies
  • Research Institutions and Analysts
  • Business Analysts
  • Financial Services Firms

Report Objectives

  • To define, describe, and estimate the AI PC market based on product, end user, operating system, compute type, compute architecture, price, and region, in terms of value.
  • To forecast the AI PC market size, in terms of volume, by product and end user
  • To provide detailed information about the major factors (drivers, opportunities, restraints, and challenges) influencing the growth of the market
  • To analyze opportunities for stakeholders by identifying the high-growth segments of the market
  • To forecast the size of the market segments with respect to five main regions: North America, Europe, Asia Pacific, and rest of the world
  • To analyze subsegments of the market with respect to individual growth trends, prospects, and contributions to the overall market
  • To profile the key players and comprehensively analyze their market sizes and core competencies
  • To track and analyze competitive developments such as product enhancements and new product launches, acquisitions, and partnerships & collaborations in the market globally

Available Customizations

With the given market data, MarketsandMarkets offers customizations according to the company’s specific needs. The following customization options are available for the report:

Company Information:

  • Detailed analysis and profiling of additional market players (up to 5)

 

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