PUBLISHER: TechNavio | PRODUCT CODE: 2172667
PUBLISHER: TechNavio | PRODUCT CODE: 2172667
Global Machine Learning Chips Market 2026-2030
The global machine learning chips market is forecasted to grow by USD 62069.1 mn during 2025-2030, accelerating at a CAGR of 37.1% during the forecast period. The report on the global machine learning chips market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by increasing deployment of generative AI workloads across enterprises, expanding investments in hyperscale data center infrastructure, growing adoption of AI-enabled edge computing applications.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.
| Market Scope | |
|---|---|
| Base Year | 2025 |
| End Year | 2030 |
| Series Year | 2026-2030 |
| Growth Momentum | Accelerate |
| YOY 2026 | 32.4% |
| CAGR | 37.1% |
| Incremental Value | $62069.1 mn |
Technavio's global machine learning chips market is segmented as below:
By End-User
- BFSI
- IT and telecom
- Media and advertising
- Others
By Technology
- System-on-chip (SoC)
- System-in-package
- Multi-chip module
- Others
By Type
- GPU
- ASIC
- FPGA
- CPU
- Others
Geography
- North America
- US
- Canada
- Mexico
- Europe
- Germany
- UK
- France
- Italy
- Spain
- The Netherlands
- APAC
- China
- Japan
- South Korea
- India
- Australia
- Indonesia
- South America
- Brazil
- Argentina
- Chile
- Middle East and Africa
- UAE
- South Africa
- Turkey
- Rest of World (ROW)
This study identifies the accelerating development of domain-specific machine learning accelerators as one of the prime reasons driving the global machine learning chips market growth during the next few years. Also, evolving integration of chip and software co-optimization frameworks and increasing adoption of chiplet-based processor architectures will lead to sizable demand in the market.
The report on the global machine learning chips market covers the following areas:
- Global machine learning chips market sizing
- Global machine learning chips market forecast
- Global machine learning chips market industry analysis
The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global machine learning chips market vendors that include Advanced Micro Devices Inc., Amazon Web Services Inc., Ambarella Inc., Apple Inc., Axelera AI, Blaize, Broadcom Inc., Cerebras Systems Inc., EdgeCortix Inc., Google LLC, Graphcore Ltd., Groq Inc., Hailo Technologies Ltd., Intel Corp., Marvell Technology Inc., NVIDIA Corp., Qualcomm Inc., Renesas Electronics Corp., SambaNova Systems Inc., SiMa Technologies Inc., Synaptics Inc., Tenstorrent Inc., Texas Instruments Inc.. Also, the global machine learning chips market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.
The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.
Table of Contents
1 Executive Summary
- 1.1 Market overview
- Executive Summary - Chart on Market Overview
- Executive Summary - Data Table on Market Overview
- Executive Summary - Chart on Global Market Characteristics
- Executive Summary - Chart on Market by Geography
- Executive Summary - Chart on Market Segmentation by End-user
- Executive Summary - Chart on Market Segmentation by Technology
- Executive Summary - Chart on Market Segmentation by Type
- Executive Summary - Chart on Incremental Growth
- Executive Summary - Data Table on Incremental Growth
- Executive Summary - Chart on Company Market Positioning
2 Technavio Analysis
- 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- 2.2 Criticality of inputs and Factors of differentiation
- 2.3 Factors of disruption
- 2.4 Impact of drivers and challenges
3 Market Landscape
- 3.1 Market ecosystem
- 3.2 Market characteristics
- 3.3 Value chain analysis
4 Market Sizing
- 4.1 Market definition
- 4.2 Market segment analysis
- Market segments
- 4.3 Market size 2025
- 4.4 Market outlook: Forecast for 2025-2030
5 Historic Market Size
- 5.1 Global Machine Learning Chips Market 2020 - 2024
- Historic Market Size - Data Table on Global Machine Learning Chips Market 2020 - 2024 ($ million)
- 5.2 End-user segment analysis 2020 - 2024
- Historic Market Size - End-user Segment 2020 - 2024 ($ million)
- 5.3 Technology segment analysis 2020 - 2024
- Historic Market Size - Technology Segment 2020 - 2024 ($ million)
- 5.4 Type segment analysis 2020 - 2024
- Historic Market Size - Type Segment 2020 - 2024 ($ million)
- 5.5 Geography segment analysis 2020 - 2024
- Historic Market Size - Geography Segment 2020 - 2024 ($ million)
- 5.6 Country segment analysis 2020 - 2024
- Historic Market Size - Country Segment 2020 - 2024 ($ million)
6 Qualitative Analysis
- 6.1 Impact of AI on global machine learning chips market
- 6.2 Impact of geopolitical conflicts on global machine learning chips market
7 Five Forces Analysis
- 7.1 Five forces summary
- Five forces analysis - Comparison between 2025 and 2030
- 7.2 Bargaining power of buyers
- Bargaining power of buyers - Impact of key factors 2025 and 2030
- 7.3 Bargaining power of suppliers
- Bargaining power of suppliers - Impact of key factors in 2025 and 2030
- 7.4 Threat of new entrants
- Threat of new entrants - Impact of key factors in 2025 and 2030
- 7.5 Threat of substitutes
- Threat of substitutes - Impact of key factors in 2025 and 2030
- 7.6 Threat of rivalry
- Threat of rivalry - Impact of key factors in 2025 and 2030
- 7.7 Market condition
8 Market Segmentation by End-user
- 8.1 Market segments
- 8.2 Comparison by End-user
- 8.3 BFSI - Market size and forecast 2025-2030
- 8.4 IT and telecom - Market size and forecast 2025-2030
- 8.5 Media and advertising - Market size and forecast 2025-2030
- 8.6 Others - Market size and forecast 2025-2030
- 8.7 Market opportunity by End-user
- Market opportunity by End-user ($ million)
9 Market Segmentation by Technology
- 9.1 Market segments
- 9.2 Comparison by Technology
- 9.3 System-on-chip (SoC) - Market size and forecast 2025-2030
- 9.4 System-in-package - Market size and forecast 2025-2030
- 9.5 Multi-chip module - Market size and forecast 2025-2030
- 9.6 Others - Market size and forecast 2025-2030
- 9.7 Market opportunity by Technology
- Market opportunity by Technology ($ million)
10 Market Segmentation by Type
- 10.1 Market segments
- 10.2 Comparison by Type
- 10.3 GPU - Market size and forecast 2025-2030
- 10.4 ASIC - Market size and forecast 2025-2030
- 10.5 FPGA - Market size and forecast 2025-2030
- 10.6 CPU - Market size and forecast 2025-2030
- 10.7 Others - Market size and forecast 2025-2030
- 10.8 Market opportunity by Type
- Market opportunity by Type ($ million)
11 Customer Landscape
- 11.1 Customer landscape overview
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
12 Geographic Landscape
- 12.1 Geographic segmentation
- 12.2 Geographic comparison
- 12.3 North America - Market size and forecast 2025-2030
- 12.3.1 US - Market size and forecast 2025-2030
- 12.3.2 Canada - Market size and forecast 2025-2030
- 12.3.3 Mexico - Market size and forecast 2025-2030
- 12.4 Europe - Market size and forecast 2025-2030
- 12.4.1 Germany - Market size and forecast 2025-2030
- 12.4.2 UK - Market size and forecast 2025-2030
- 12.4.3 France - Market size and forecast 2025-2030
- 12.4.4 Italy - Market size and forecast 2025-2030
- 12.4.5 Spain - Market size and forecast 2025-2030
- 12.4.6 The Netherlands - Market size and forecast 2025-2030
- 12.5 APAC - Market size and forecast 2025-2030
- 12.5.1 China - Market size and forecast 2025-2030
- 12.5.2 Japan - Market size and forecast 2025-2030
- 12.5.3 South Korea - Market size and forecast 2025-2030
- 12.5.4 India - Market size and forecast 2025-2030
- 12.5.5 Australia - Market size and forecast 2025-2030
- 12.5.6 Indonesia - Market size and forecast 2025-2030
- 12.6 South America - Market size and forecast 2025-2030
- 12.6.1 Brazil - Market size and forecast 2025-2030
- 12.6.2 Argentina - Market size and forecast 2025-2030
- 12.6.3 Chile - Market size and forecast 2025-2030
- 12.7 Middle East and Africa - Market size and forecast 2025-2030
- 12.7.1 Saudi Arabia - Market size and forecast 2025-2030
- 12.7.2 UAE - Market size and forecast 2025-2030
- 12.7.3 South Africa - Market size and forecast 2025-2030
- 12.7.4 Turkey - Market size and forecast 2025-2030
- 12.7.5 Israel - Market size and forecast 2025-2030
- 12.8 Market opportunity by geography
- Market opportunity by geography ($ million)
- Data Tables on Market opportunity by geography ($ million)
13 Drivers, Challenges, and Opportunity
- 13.1 Market drivers
- Increasing deployment of generative AI workloads across enterprises
- Expanding investments in hyperscale data center infrastructure
- Growing adoption of AI-enabled edge computing applications
- 13.2 Market challenges
- Dependence on advanced semiconductor fabrication capacity
- Export control restrictions affecting high-performance chip deployment
- Rising power consumption requirements across AI computing infrastructure
- 13.3 Impact of drivers and challenges
- Impact of drivers and challenges in 2025 and 2030
- 13.4 Market opportunities
- Accelerating development of domain-specific machine learning accelerators
- Evolving integration of chip and software co-optimization frameworks
- Increasing adoption of chiplet-based processor architectures
14 Competitive Landscape
- 14.1 Overview
- 14.2 Competitive Landscape
- Overview on criticality of inputs and factors of differentiation
- 14.3 Landscape disruption
- Overview on factors of disruption
- 14.4 Industry risks
- Impact of key risks on business
15 Competitive Analysis
- 15.1 Companies profiled
- Companies covered
- 15.2 Company ranking index
- Company ranking index
- 15.3 Market positioning of companies
- Matrix on companies position and classification
- 15.4 Advanced Micro Devices Inc.
- Advanced Micro Devices Inc. - Overview
- Advanced Micro Devices Inc. - Business segments
- Advanced Micro Devices Inc. - Key news
- Advanced Micro Devices Inc. - Key offerings
- Advanced Micro Devices Inc. - Segment focus
- SWOT
- 15.5 Amazon Web Services Inc.
- Amazon Web Services Inc. - Overview
- Amazon Web Services Inc. - Product / Service
- Amazon Web Services Inc. - Key offerings
- SWOT
- 15.6 Ambarella Inc.
- Ambarella Inc. - Overview
- Ambarella Inc. - Product / Service
- Ambarella Inc. - Key news
- Ambarella Inc. - Key offerings
- SWOT
- 15.7 Apple Inc.
- Apple Inc. - Overview
- Apple Inc. - Business segments
- Apple Inc. - Key news
- Apple Inc. - Key offerings
- Apple Inc. - Segment focus
- SWOT
- 15.8 Axelera AI
- Axelera AI - Overview
- Axelera AI - Product / Service
- Axelera AI - Key offerings
- SWOT
- 15.9 Blaize
- Blaize - Overview
- Blaize - Product / Service
- Blaize - Key offerings
- SWOT
- 15.10 Broadcom Inc.
- Broadcom Inc. - Overview
- Broadcom Inc. - Business segments
- Broadcom Inc. - Key news
- Broadcom Inc. - Key offerings
- Broadcom Inc. - Segment focus
- SWOT
- 15.11 Google LLC
- Google LLC - Overview
- Google LLC - Product / Service
- Google LLC - Key news
- Google LLC - Key offerings
- SWOT
- 15.12 Intel Corp.
- Intel Corp. - Overview
- Intel Corp. - Business segments
- Intel Corp. - Key news
- Intel Corp. - Key offerings
- Intel Corp. - Segment focus
- SWOT
- 15.13 Marvell Technology Inc.
- Marvell Technology Inc. - Overview
- Marvell Technology Inc. - Product / Service
- Marvell Technology Inc. - Key news
- Marvell Technology Inc. - Key offerings
- SWOT
- 15.14 NVIDIA Corp.
- NVIDIA Corp. - Overview
- NVIDIA Corp. - Business segments
- NVIDIA Corp. - Key news
- NVIDIA Corp. - Key offerings
- NVIDIA Corp. - Segment focus
- SWOT
- 15.15 Qualcomm Inc.
- Qualcomm Inc. - Overview
- Qualcomm Inc. - Business segments
- Qualcomm Inc. - Key news
- Qualcomm Inc. - Key offerings
- Qualcomm Inc. - Segment focus
- SWOT
- 15.16 Renesas Electronics Corp.
- Renesas Electronics Corp. - Overview
- Renesas Electronics Corp. - Business segments
- Renesas Electronics Corp. - Key news
- Renesas Electronics Corp. - Key offerings
- Renesas Electronics Corp. - Segment focus
- SWOT
- 15.17 Synaptics Inc.
- Synaptics Inc. - Overview
- Synaptics Inc. - Product / Service
- Synaptics Inc. - Key offerings
- SWOT
- 15.18 Texas Instruments Inc.
- Texas Instruments Inc. - Overview
- Texas Instruments Inc. - Business segments
- Texas Instruments Inc. - Key news
- Texas Instruments Inc. - Key offerings
- Texas Instruments Inc. - Segment focus
- SWOT
16 Appendix
- 16.1 Scope of the report
- Market definition
- Objectives
- Notes and caveats
- 16.2 Inclusions and exclusions checklist
- Inclusions checklist
- Exclusions checklist
- 16.3 Currency conversion rates for US$
- Currency conversion rates for US$
- 16.4 Research methodology
- Research methodology
- 16.5 Data procurement
- Information sources
- 16.6 Data validation
- Data validation
- 16.7 Validation techniques employed for market sizing
- Validation techniques employed for market sizing
- 16.8 Data synthesis
- Data synthesis
- 16.9 360 degree market analysis
- 360 degree market analysis
- 16.10 List of abbreviations
- List of abbreviations
