AI Laptop Market Report Scope & Overview:
The AI Laptop Market size was valued at USD 27.8 billion in 2024 and is expected to reach USD 106.6 billion by 2032, growing at a CAGR of 18.29% during 2025-2032.
AI Laptop Market growth is fueled by driven by the increasing incorporation of on-device artificial intelligence capabilities, including generative AI processing, real-time language translation, facial recognition, intelligent power management, and more. Heavyweights such as Intel, AMD, NVIDIA, and Qualcomm are integrating NPUs (Neural Processing Units) into their chipsets, which will allow support for a wider range of AI workloads on-device and not cloud-based. In creative industries, gaming, education, and enterprise space, the demand is also to seize productivity enhancement, personalization, and performance. Advances in technology, increasing consumer awareness, better disposable incomes, and expanding 5G connectivity, which keeps all functionalities of AI performing seamlessly, have all benefited the market.
In the U.S., the AI Laptop Market trend is driven by robust demand for on-device generative AI, edge computing, and productivity tools, spanning across education and enterprise end-use sectors. The market was valued at USD 7.5 billion in 2024 and is expected to reach USD 28.2 billion by 2032, growing at a CAGR of 18.07%. Increasing adoption of AI-integrated chipsets and smart assistants further accelerates market growth.
AI Laptop Market Dynamics:
Drivers:
-
Integration of NPUs Is Accelerating On-Device AI Adoption
Increasing integration of purpose-specific NPUs in chipsets by manufacturers like Intel (Core Ultra), AMD, Apple (M-series), and Qualcomm is rapidly boosting the AI laptop market. NPUs allow AI processing, including transcription enhancement in real-time, image enhancement, predictive for the system breaks, etc, in an on-device, high-efficiency manner. The paradigm shift of edge AI frees the reliance on cloud, thereby enhancing latency, performance, and data confidentiality. As generative AI and AI-powered creative tools become more mainstream – particularly among professionals and those creating content – laptops with embedded AI have become the go-to option. This trend is in line with enterprise demand for both secure and responsive computing and is pushing OEMs to innovate while also creating standard features surrounding AI for consumer and business-grade laptops.
Intel reported that over 80% of its newly launched laptops in 2024 (featuring Core Ultra processors) include built-in NPUs, capable of delivering up to 11 TOPS (trillions of operations per second) of AI compute on-device.
Restraints:
-
High Hardware Costs Are Limiting Mass-Market Accessibility
Modern laptops have integrated higher-end hardware to support AI features, and thus, AI laptops are way more expensive than traditional models. The additional manufacturing costs associated with embedding the specialized components needed for this kind of performance (e.g., NPUs, high-performance GPUs, AI-optimized SSDs) are then transferred to consumers. That creates a barrier to adoption for budget users, especially in price-sensitive areas or the student segment. In addition, there is a cost differential, and a lot of users may not yet use the AI functions enough to explain the cost difference. This restricts the potential market penetration rate and rapid democratization of AI capabilities in computing.
AI laptops cost 30–40% more to manufacture than standard laptops, largely due to dedicated NPUs, high-end GPUs, and advanced cooling solutions—leading typical AI-ready models to start around $1,200, nearly double entry-level device price points
Opportunities:
-
Enterprise AI Adoption Is Fueling Demand for Intelligent Computing
With massive scale demand from creative professionals and enterprises for generating content, programming, data analysis, and working remotely, AI laptop opportunities are increasing. Tools including Adobe's Firefly and Microsoft 365 Copilot, along with AI-assisted video editing, demand heavy local AI processing that AI laptops can now provide. Intelligent document summarization, meeting transcription, and predictive analytics, available for enterprise users, enhance productivity and decision-making. It is anticipated that demand will increase in areas such as architecture, marketing, software development, and design as AI processes become normalized.
Intel’s survey of over 5,000 business and IT leaders shows that while 87% plan to transition to AI PCs, only 35% of employees understand AI’s business value.
Challenges:
-
Lack of Software Optimization Is Reducing AI Performance Benefits
Software-hardware optimization is a big challenge in the AI laptop space. While there are powerful NPUs and AI-ready processors on the market, most applications are not yet optimized to fully utilize these AI accelerators. There's only so much it can do for real performance, and thus for user quality of life and value (where the pants come off). In addition, software developers have to adapt and continually revise their tools to get inspired by the ever-changing hardware benchmarks. And cross-platform compatibility and integration with other operating systems, such as Windows, macOS, Linux, complicate that as well.
AI Laptop Market Segmentation Analysis:
By Processor Type:
In 2024, the AI-optimized CPU segment dominated the AI laptop market and accounted for 38% of revenue share. Its dominance is driven by wide OEM adoption, the ability to utilize current software and efficiency for AI workloads, making it hard to beat. CPUs optimized for AI can be a pointed balance of performance and power and can fit to consumer and enterprise laptops. The segment will continue doing well through incorporation into mainstream laptop models throughout the world.
NPU segment is expected to register the fastest CAGR due to the NPUs enabling high-speed, on-device AI tasks such as real-time translation and image generation without the need for cloud reliance. The continued privacy concerns, quicker AI execution, and the upcoming rollout of AI assistants (like Copilot and Firefly) will accelerate the integration of NPUs within AI laptops, assuming that developers will start optimizing their software to take advantage of the full potential offered by the various neural engines.
By Sales Channel:
In 2024, the online sales segment dominated the market and accounted for 62% of the AI laptop market share. Convenience offered by e-commerce platforms, surging demand for laptop products, novel AI laptop launches, and competitive promotional pricing have driven the dominance of this segment. Consumers are moving towards online channels for detailed specs comparison and doorstep delivery. Moreover, the collaboration of OEMs with big online players further accelerates this trend.
The offline sales segment is expected to register the fastest CAGR. The consumer choice of physical retail can be attributed to personalized support, real-time demonstrations of AI functions, and after-purchase services. It is also growing in newer markets where online penetration is relatively small.
By End User:
In 2024, the consumer segment dominated the AI laptop market and accounted for a significant revenue share. The dominance is attributed to a rise in demand for AI-enabled functionalities such as virtual assistants, smart battery management, and real-time translations. AI adoption among everyday users is driven by more moderate prices with AI models offered in bundles. This segment will still be leading when AI is a native component of flagship laptops.
The content creators (designers, developers, video editors) segment is expected to register the fastest CAGR in the AI Laptop Market. Driven by high-performance workloads such as video editing, design rendering, and generative AI tools, Advanced NPUs and GPUs in AI laptops make it easier to generate content and automate. The demand is being driven by rising freelance and creator economy trends and the adoption of tools such as Adobe Firefly and Runway ML.
By Operating System:
In 2024, the Windows segment dominated AI laptop market and accounted for a significant revenue share. Windows leads due to it having a wider user base, strong OEM partnerships, and it incorporated AI features like the Microsoft Copilot months before. It provides a wide catering AI applications in the ecosystem for consumers to enterprises, and developers. Lisa Su joins Panos Panay on stage for an AMD/Windows collab. Intel, AMD, and Qualcomm will all stay partnered with Windows as they further push the envelope with AI laptops.
The macOS segment is expected to register the fastest CAGR during the forecast period. Major Apple hardware releases, such as the M-series that come with high-powered on-device AI capabilities, are only accelerating macOS adoption. Real-time editing of photos and voice recognition excite professionals and creatives, and there are dozens of tools focused on AI for developers. And with Apple's integrated hardware-software approach, macOS is picking up steam as a platform for performance-hungry power users who want to deploy machine learning-driven workflows to reach their goals.
AI Laptop Market Regional Outlook:
In 2024, the North America region dominated the market in AI laptop market and accounted for a significant revenue share. North America leads due to a robust tech infrastructure, a larger concentration of AI PC operations, and industry giants like Microsoft, Intel, and Apple. Combined with record enterprise demand, AI integration evolving faster than expected in both other education and business sectors, and a favorable consumer-spending backdrop, its AI laptop proposition seems well-positioned to drive further sector-wide adoption.
According to an AI laptop market analysis, the Asia-Pacific region is expected to register the fastest CAGR in the AI laptop market and accounted for a significant revenue share. supported by growing digital transformation across nations like China, India, Japan, and South Korea. Demand is being driven by government AI initiatives, a large gaming and creator communities and/or youth populations becoming tech-savvy. Regional adoption certainly is hot, especially with local OEMs as well as low-cost AI laptop models.
Europe’s AI laptop growth is fueled by the appetite for enterprise AI, including AI-driven capabilities for creative industries, along with the increased push for digital education initiatives, which is fuelling Europe’s AI laptop growth. Adoption is fueled by government support for the augmentation of AI and sustainable tech practices. There has been a consistent increase in market growth as the focus relies on edge computing towards 2032.
Germany dominated the European AI Laptop Market. Due to its unique industrial base, tech innovation, and early enterprise digitalization, Germany had the largest market for AI Laptops in Europe. Take-up is being accelerated by strong demand from SMEs, the development of automotive AI, and sectors with AI-driven design. Investment in the development of AI research and local business will keep the momentum going.
Key Players:
The major AI laptop market companies are Apple, Dell, HP, Lenovo, ASUS, Acer, Microsoft, Samsung, MSI, Razer, Huawei, LG, Gigabyte, Intel, AMD, NVIDIA, Qualcomm, MediaTek, Google, Framework and others.
Recent Developments:
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In May 2024, Microsoft launched the Copilot+ PCs initiative, requiring laptops to include dedicated NPUs with a minimum of 40+ TOPS AI performance, marking a significant shift toward standardized AI capabilities across Windows devices.
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In February 2025, AMD introduced its Ryzen AI 300 series in the Framework Laptop 13, delivering advanced on-device AI acceleration and modular upgrade support, targeting both developers and productivity-focused users in the AI laptop segment.
|
Report Attributes |
Details |
|---|---|
|
Market Size in 2024 |
USD 27.8 Billion |
|
Market Size by 2032 |
USD 106.6 Billion |
|
CAGR |
CAGR of 18.29 % From 2025 to 2032 |
|
Base Year |
2024 |
|
Forecast Period |
2025-2032 |
|
Historical Data |
2021-2023 |
|
Report Scope & Coverage |
Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
|
Key Segments |
• By Type (AI-Optimized CPU, NPU, Integrated GPU, Discrete GPU) |
|
Regional Analysis/Coverage |
North America (US, Canada), Europe (Germany, France, UK, Italy, Spain, Poland, Rest of Europe), Asia Pacific (China, India, Japan, South Korea, ASEAN Countries, Australia, Rest of Asia Pacific), Middle East & Africa (UAE, Saudi Arabia, Qatar,Egypt, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Mexico, Colombia, Rest of Latin America) |
|
Company Profiles |
Apple, Dell, HP, Lenovo, ASUS, Acer, Microsoft, Samsung, MSI, Razer, Huawei, LG, Gigabyte, Intel, AMD, NVIDIA, Qualcomm, MediaTek, Google, Framework and others in the report |
Table Of Contents
1. Introduction
1.1 Market Definition & Scope
1.2 Research Assumptions & Abbreviations
1.3 Research Methodology
2. Executive Summary
2.1 Market Snapshot
2.2 Market Absolute $ Opportunity Assessment & Y-o-Y Analysis, 2021–2032
2.3 Market Size & Forecast, By Segmentation, 2021–2032
2.3.1 Market Size By Type
2.3.2 Market Size By Sales Channel
2.3.3 Market Size By Operating System
2.3.4 Market Size By End-User
2.4 Market Share & Bps Analysis By Region, 2024
2.5 Industry Growth Scenarios – Conservative, Likely & Optimistic
2.6 Industry CxO’s Perspective
3. Market Overview
3.1 Market Dynamics
3.1.1 Drivers
3.1.2 Restraints
3.1.3 Opportunities
3.1.4 Key Market Trends
3.2 Industry PESTLE Analysis
3.3 Key Industry Forces (Porter’s) Impacting Market Growth
3.4 Industry Supply Chain Analysis
3.4.1 Raw Material Suppliers
3.4.2 Manufacturers
3.4.3 Distributors/Suppliers
3.4.4 Customers/End-Userrs
3.5 Industry Life Cycle Assessment
3.6 Parent Market Overview
3.7 Market Risk Assessment
4. Statistical Insights & Trends Reporting
4.1 Adoption & Device Penetration Metrics
4.1.1 Total number of AI laptops shipped globally annually (retail and enterprise)
4.1.2 Year‑over‑year growth rate for laptops with on-device AI accelerators (%)
4.1.3 Share of AI laptop adoption by target user type: prosumers, professionals, gamers
4.1.4 Average number of AI-specific features enabled per laptop out-of-the-box
4.1.5 Regional penetration rates (North America, APAC, Europe) for AI-equipped laptops
4.2 Hardware Performance & Efficiency Metrics
4.2.1 Benchmark scores (e.g., MLPerf, AI inference throughput using INT8 or FP16)
4.2.2 Power consumption per AI task (e.g., inference power per watt)
4.2.3 Latency performance for on-device AI inference tasks (e.g., less than 50 ms)
4.2.4 Thermal performance during sustained AI workloads (throttling metrics)
4.2.5 Ratio of CPU, GPU, and dedicated NPU/TPU utilization in real-world use cases
4.3 User Behavior & Feature Usage
4.3.1 Percentage of users utilizing built-in AI tools (e.g., real-time transcription, summarization)
4.3.2 Average daily usage time spent in AI‑powered features
4.3.3 Types of AI features most commonly used: creative tools, coding completion, predictive search etc.
4.3.4 Conversion rate from pre-installed trials (e.g., AI software suites) to paid subscriptions
4.3.5 Customer satisfaction or NPS for AI feature usability and value
4.4 Monetization & Revenue Models
4.4.1 Average premium price charged for laptops marketed with AI capabilities
4.4.2 Share of sales from AI-tiered models vs. standard laptops
4.4.3 Revenue from bundled AI software or cloud AI credits per device (USD)
4.4.4 Subscription revenue generated annually from AI-enhanced services (e.g., coding assistants, creative tools)
4.4.5 Average cost savings in edge processing workloads relative to cloud-based AI usage
5. AI Laptop Market Segmental Analysis & Forecast, By Type, 2021 – 2032, Value (Usd Billion) & Volume (Unit)
5.1 Introduction
5.2 AI-Optimized CPU
5.2.1 Key Trends
5.2.2 Market Size & Forecast, 2021 – 2032
5.3 NPU
5.3.1 Key Trends
5.3.2 Market Size & Forecast, 2021 – 2032
5.4 Integrated GPU
5.4.1 Key Trends
5.4.2 Market Size & Forecast, 2021 – 2032
5.5 Discrete GPU
5.5.1 Key Trends
5.5.2 Market Size & Forecast, 2021 – 2032
6. AI Laptop Market Segmental Analysis & Forecast, By Sales Channel, 2021 – 2032, Value (Usd Billion) & Volume (Unit)
6.1 Introduction
6.2 Online sales
6.2.1 Key Trends
6.2.2 Market Size & Forecast, 2021 – 2032
6.3 Offline sales
6.3.1 Key Trends
6.3.2 Market Size & Forecast, 2021 – 2032
7. AI Laptop Market Segmental Analysis & Forecast, By Operating System, 2021 – 2032, Value (Usd Billion) & Volume (Unit)
7.1 Introduction
7.2 Windows
7.2.1 Key Trends
7.2.2 Market Size & Forecast, 2021 – 2032
7.3 macOS
7.3.1 Key Trends
7.3.2 Market Size & Forecast, 2021 – 2032
7.4 Linux
7.4.1 Key Trends
7.4.2 Market Size & Forecast, 2021 – 2032
7.5 ChromeOS
7.5.1 Key Trends
7.5.2 Market Size & Forecast, 2021 – 2032
8. AI Laptop Market Segmental Analysis & Forecast, By End-User, 2021 – 2032, Value (Usd Billion) & Volume (Unit)
8.1 Introduction
8.2 Consumer
8.2.1 Key Trends
8.2.2 Market Size & Forecast, 2021 – 2032
8.3 Business (SMEs & Large Enterprises)
8.3.1 Key Trends
8.3.2 Market Size & Forecast, 2021 – 2032
8.4 Education
8.4.1 Key Trends
8.4.2 Market Size & Forecast, 2021 – 2032
8.5 Gaming Enthusiasts
8.5.1 Key Trends
8.5.2 Market Size & Forecast, 2021 – 2032
8.6 Content Creators (Designers, Developers, Video Editors)
8.6.1 Key Trends
8.6.2 Market Size & Forecast, 2021 – 2032
9. AI Laptop Market Segmental Analysis & Forecast By Region, 2021 – 2032, Value (Usd Billion) & Volume (Unit)
9.1 Introduction
9.2 North America
9.2.1 Key Trends
9.2.2 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.2.3 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.2.4 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.2.5 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.2.6 AI Laptop Market Size & Forecast, By Country, 2021 – 2032
9.2.6.1 USA
9.2.6.1.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.2.6.1.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.2.6.1.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.2.6.1.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.2.6.2 Canada
9.2.6.2.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.2.6.2.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.2.6.2.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.2.6.2.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.3 Europe
9.3.1 Key Trends
9.3.2 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.3.3 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.3.4 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.3.5 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.3.6 AI Laptop Market Size & Forecast, By Country, 2021 – 2032
9.3.6.1 Germany
9.3.6.1.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.3.6.1.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.3.6.1.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.3.6.1.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.3.6.2 UK
9.3.6.2.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.3.6.2.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.3.6.2.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.3.6.2.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.3.6.3 France
9.3.6.3.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.3.6.3.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.3.6.3.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.3.6.3.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.3.6.4 Italy
9.3.6.4.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.3.6.4.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.3.6.4.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.3.6.4.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.3.6.5 Spain
9.3.6.5.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.3.6.5.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.3.6.5.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.3.6.5.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.3.6.6 Russia
9.3.6.6.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.3.6.6.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.3.6.6.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.3.6.6.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.3.6.7 Poland
9.3.6.7.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.3.6.7.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.3.6.7.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.3.6.7.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.3.6.8 Rest of Europe
9.3.6.8.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.3.6.8.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.3.6.8.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.3.6.8.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.4 Asia-Pacific
9.4.1 Key Trends
9.4.2 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.4.3 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.4.4 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.4.5 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.4.6 AI Laptop Market Size & Forecast, By Country, 2021 – 2032
9.4.6.1 China
9.4.6.1.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.4.6.1.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.4.6.1.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.4.6.1.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.4.6.2 India
9.4.6.2.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.4.6.2.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.4.6.2.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.4.6.2.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.4.6.3 Japan
9.4.6.3.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.4.6.3.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.4.6.3.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.4.6.3.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.4.6.4 South Korea
9.4.6.4.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.4.6.4.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.4.6.4.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.4.6.4.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.4.6.5 Australia
9.4.6.5.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.4.6.5.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.4.6.5.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.4.6.5.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.4.6.6 ASEAN Countries
9.4.6.6.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.4.6.6.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.4.6.6.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.4.6.6.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.4.6.7 Rest of Asia-Pacific
9.4.6.7.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.4.6.7.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.4.6.7.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.4.6.7.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.5 Latin America
9.5.1 Key Trends
9.5.2 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.5.3 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.5.4 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.5.5 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.5.6 AI Laptop Market Size & Forecast, By Country, 2021 – 2032
9.5.6.1 Brazil
9.5.6.1.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.5.6.1.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.5.6.1.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.5.6.1.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.5.6.2 Argentina
9.5.6.2.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.5.6.2.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.5.6.2.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.5.6.2.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.5.6.3 Mexico
9.5.6.3.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.5.6.3.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.5.6.3.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.5.6.3.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.5.6.4 Colombia
9.5.6.4.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.5.6.4.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.5.6.4.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.5.6.4.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.5.6.5 Rest of Latin America
9.5.6.5.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.5.6.5.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.5.6.5.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.5.6.5.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.6 Middle East & Africa
9.6.1 Key Trends
9.6.2 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.6.3 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.6.4 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.6.5 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.6.6 AI Laptop Market Size & Forecast, By Country, 2021 – 2032
9.6.6.1 UAE
9.6.6.1.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.6.6.1.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.6.6.1.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.6.6.1.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.6.6.2 Saudi Arabia
9.6.6.2.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.6.6.2.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.6.6.2.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.6.6.2.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.6.6.3 Qatar
9.6.6.3.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.6.6.3.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.6.6.3.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.6.6.3.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.6.6.4 Egypt
9.6.6.4.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.6.6.4.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.6.6.4.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.6.6.4.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.6.6.5 South Africa
9.6.6.5.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.6.6.5.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.6.6.5.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.6.6.5.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
9.6.6.6 Rest of Middle East & Africa
9.6.6.6.1 AI Laptop Market Size & Forecast, By Type, 2021 – 2032
9.6.6.6.2 AI Laptop Market Size & Forecast, By Sales Channel, 2021 – 2032
9.6.6.6.3 AI Laptop Market Size & Forecast, By Operating System, 2021 – 2032
9.6.6.6.4 AI Laptop Market Size & Forecast, By End-User, 2021 – 2032
10. Competitive Landscape
10.1 Key Players' Positioning
10.2 Competitive Developments
10.2.1 Key Strategies Adopted (%), By Key Players, 2024
10.2.2 Year-Wise Strategies & Development, 2021 – 2025
10.2.3 Number Of Strategies Adopted By Key Players, 2024
10.3 Market Share Analysis, 2024
10.4 Product/Service & Deployment Benchmarking
10.4.1 Product/Service Specifications & Features By Key Players
10.4.2 Product/Service Heatmap By Key Players
10.4.3 Deployment Heatmap By Key Players
10.5 Industry Start-Up & Innovation Landscape
10.6 Key Company Profiles
10.6 Key Company Profiles
10.6.1 Apple
10.6.1.1 Company Overview & Snapshot
10.6.1.2 Product/Service Portfolio
10.6.1.3 Key Company Financials
10.6.1.4 SWOT Analysis
10.6.2 Dell
10.6.2.1 Company Overview & Snapshot
10.6.2.2 Product/Service Portfolio
10.6.2.3 Key Company Financials
10.6.2.4 SWOT Analysis
10.6.3 HP
10.6.3.1 Company Overview & Snapshot
10.6.3.2 Product/Service Portfolio
10.6.3.3 Key Company Financials
10.6.3.4 SWOT Analysis
10.6.4 Lenovo
10.6.4.1 Company Overview & Snapshot
10.6.4.2 Product/Service Portfolio
10.6.4.3 Key Company Financials
10.6.4.4 SWOT Analysis
10.6.5 ASUS
10.6.5.1 Company Overview & Snapshot
10.6.5.2 Product/Service Portfolio
10.6.5.3 Key Company Financials
10.6.5.4 SWOT Analysis
10.6.6 Acer
10.6.6.1 Company Overview & Snapshot
10.6.6.2 Product/Service Portfolio
10.6.6.3 Key Company Financials
10.6.6.4 SWOT Analysis
10.6.7 Microsoft
10.6.7.1 Company Overview & Snapshot
10.6.7.2 Product/Service Portfolio
10.6.7.3 Key Company Financials
10.6.7.4 SWOT Analysis
10.6.8 Samsung
10.6.8.1 Company Overview & Snapshot
10.6.8.2 Product/Service Portfolio
10.6.8.3 Key Company Financials
10.6.8.4 SWOT Analysis
10.6.9 MSI
10.6.9.1 Company Overview & Snapshot
10.6.9.2 Product/Service Portfolio
10.6.9.3 Key Company Financials
10.6.9.4 SWOT Analysis
10.6.10 Razer
10.6.10.1 Company Overview & Snapshot
10.6.10.2 Product/Service Portfolio
10.6.10.3 Key Company Financials
10.6.10.4 SWOT Analysis
10.6.11 Huawei
10.6.11.1 Company Overview & Snapshot
10.6.11.2 Product/Service Portfolio
10.6.11.3 Key Company Financials
10.6.11.4 SWOT Analysis
10.6.12 LG
10.6.12.1 Company Overview & Snapshot
10.6.12.2 Product/Service Portfolio
10.6.12.3 Key Company Financials
10.6.12.4 SWOT Analysis
10.6.13 Gigabyte
10.6.13.1 Company Overview & Snapshot
10.6.13.2 Product/Service Portfolio
10.6.13.3 Key Company Financials
10.6.13.4 SWOT Analysis
10.6.14 Intel
10.6.14.1 Company Overview & Snapshot
10.6.14.2 Product/Service Portfolio
10.6.14.3 Key Company Financials
10.6.14.4 SWOT Analysis
10.6.15 AMD
10.6.15.1 Company Overview & Snapshot
10.6.15.2 Product/Service Portfolio
10.6.15.3 Key Company Financials
10.6.15.4 SWOT Analysis
10.6.16 NVIDIA
10.6.16.1 Company Overview & Snapshot
10.6.16.2 Product/Service Portfolio
10.6.16.3 Key Company Financials
10.6.16.4 SWOT Analysis
10.6.17 Qualcomm
10.6.17.1 Company Overview & Snapshot
10.6.17.2 Product/Service Portfolio
10.6.17.3 Key Company Financials
10.6.17.4 SWOT Analysis
10.6.18 MediaTek
10.6.18.1 Company Overview & Snapshot
10.6.18.2 Product/Service Portfolio
10.6.18.3 Key Company Financials
10.6.18.4 SWOT Analysis
10.6.19 Google
10.6.19.1 Company Overview & Snapshot
10.6.19.2 Product/Service Portfolio
10.6.19.3 Key Company Financials
10.6.19.4 SWOT Analysis
10.6.20 Framework
10.6.20.1 Company Overview & Snapshot
10.6.20.2 Product/Service Portfolio
10.6.20.3 Key Company Financials
10.6.20.4 SWOT Analysis
11. Analyst Recommendations
11.1 SNS Insider Opportunity Map
11.2 Industry Low-Hanging Fruit Assessment
11.3 Market Entry & Growth Strategy
11.4 Analyst Viewpoint & Suggestions On Market Growth
12. Assumptions
13. Disclaimer
14. Appendix
14.1 List Of Tables
14.2 List Of Figures
Key Segments:
By Processor Type
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AI-Optimized CPU
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NPU
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Integrated GPU
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Discrete GPU
By Sales Channel
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Online sales
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Offline sales
By End User
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Consumer
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Business (SMEs & Large Enterprises)
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Education
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Gaming Enthusiasts
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Content Creators (Designers, Developers, Video Editors)
By Operating System
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Windows
-
macOS
-
Linux
-
ChromeOS
Request for Segment Customization as per your Business Requirement: Segment Customization Request
Regional Coverage:
North America
-
US
-
Canada
Europe
-
Germany
-
France
-
UK
-
Italy
-
Spain
-
Poland
-
Russia
-
Rest of Europe
Asia Pacific
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China
-
India
-
Japan
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South Korea
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ASEAN Countries
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Australia
-
Rest of Asia Pacific
Middle East & Africa
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UAE
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Saudi Arabia
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Qatar
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Egypt
-
South Africa
-
Rest of Middle East & Africa
Latin America
-
Brazil
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Argentina
-
Mexico
-
Colombia
-
Rest of Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
-
Detailed Volume Analysis
-
Criss-Cross segment analysis (e.g. Component X Application)
-
Competitive Component Benchmarking
-
Geographic Analysis
-
Additional countries in any of the regions
-
Customized Data Representation
-
Detailed analysis and profiling of additional market players
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
