AI 모델 최적화 툴 시장(2026-2030년)

The global AI model optimization tools market is forecasted to grow by USD 1984.9 mn during 2025-2030, accelerating at a CAGR of 22.1% during the forecast period. The report on the global AI model optimization tools 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 proliferation of edge computing and internet of things hardware, escalating operational costs of large-scale generative intelligence, increasing emphasis on corporate sustainability and energy efficiency.

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.

Technavio's global AI model optimization tools market is segmented as below:

By Deployment

• Cloud based
• Hybrid
• Edge

By Application

• Generative AI
• Computer vision
• NLP
• Others

By End-User

• IT and telecom
• Automotive
• Healthcare
• BFSI
• Others

Geography

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • The Netherlands
• APAC
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
• Middle East and Africa
  • UAE
  • South Africa
  • Egypt
• South America
  • Brazil
  • Argentina
  • Chile
• Rest of World (ROW)

This study identifies the adoption of hardware-aware automated neural architecture search as one of the prime reasons driving the global AI model optimization tools market growth during the next few years. Also, rise of ultra-low precision quantization for generative intelligence and integration of continuous optimization within enterprise mlops pipelines will lead to sizable demand in the market.

The report on the global AI model optimization tools market covers the following areas:

• Global AI model optimization tools market sizing
• Global AI model optimization tools market forecast
• Global AI model optimization tools 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 AI model optimization tools market vendors that include Advanced Micro Devices Inc., Amazon.com Inc., Apple Inc., Arm Ltd., Baidu Inc., Blaize, Cadence Design Systems Inc., Google LLC, Hugging Face Inc., IBM Corp., Intel Corp., Latent AI Inc., Meta Platforms Inc., Microsoft Corp., NVIDIA Corp., Oracle Corp., Qualcomm Inc., Red Hat Inc., SAP SE, Synopsys Inc.. Also, the global AI model optimization tools 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 Deployment
  • Executive Summary - Chart on Market Segmentation by Application
  • Executive Summary - Chart on Market Segmentation by End-user
  • 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 AI Model Optimization Tools Market 2020 - 2024
  • Historic Market Size - Data Table on Global AI Model Optimization Tools Market 2020 - 2024 ($ million)
• 5.2 Deployment segment analysis 2020 - 2024
  • Historic Market Size - Deployment Segment 2020 - 2024 ($ million)
• 5.3 Application segment analysis 2020 - 2024
  • Historic Market Size - Application Segment 2020 - 2024 ($ million)
• 5.4 End-user segment analysis 2020 - 2024
  • Historic Market Size - End-user 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 geopolitical conflicts on Global AI Model Optimization Tools 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 Deployment

• 8.1 Market segments
• 8.2 Comparison by Deployment
• 8.3 Cloud based - Market size and forecast 2025-2030
• 8.4 Hybrid - Market size and forecast 2025-2030
• 8.5 Edge - Market size and forecast 2025-2030
• 8.6 Market opportunity by Deployment
  • Market opportunity by Deployment ($ million)

9 Market Segmentation by Application

• 9.1 Market segments
• 9.2 Comparison by Application
• 9.3 Generative AI - Market size and forecast 2025-2030
• 9.4 Computer vision - Market size and forecast 2025-2030
• 9.5 NLP - Market size and forecast 2025-2030
• 9.6 Others - Market size and forecast 2025-2030
• 9.7 Market opportunity by Application
  • Market opportunity by Application ($ million)

10 Market Segmentation by End-user

• 10.1 Market segments
• 10.2 Comparison by End-user
• 10.3 IT and telecom - Market size and forecast 2025-2030
• 10.4 Automotive - Market size and forecast 2025-2030
• 10.5 Healthcare - Market size and forecast 2025-2030
• 10.6 BFSI - Market size and forecast 2025-2030
• 10.7 Others - Market size and forecast 2025-2030
• 10.8 Market opportunity by End-user
  • Market opportunity by End-user ($ 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 India - Market size and forecast 2025-2030
  • 12.5.4 South Korea - 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 Middle East and Africa - Market size and forecast 2025-2030
  • 12.6.1 Saudi Arabia - Market size and forecast 2025-2030
  • 12.6.2 UAE - Market size and forecast 2025-2030
  • 12.6.3 Israel - Market size and forecast 2025-2030
  • 12.6.4 South Africa - Market size and forecast 2025-2030
  • 12.6.5 Egypt - Market size and forecast 2025-2030
• 12.7 South America - Market size and forecast 2025-2030
  • 12.7.1 Brazil - Market size and forecast 2025-2030
  • 12.7.2 Argentina - Market size and forecast 2025-2030
  • 12.7.3 Chile - 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
  • Proliferation of edge computing and internet of things hardware
  • Escalating operational costs of large-scale generative intelligence
  • Increasing emphasis on corporate sustainability and energy efficiency
• 13.2 Market challenges
  • Hardware fragmentation and interoperability constraints
  • Trade-off between compression aggressiveness and model fidelity
  • Scarcity of specialized technical expertise and standardized workflows
• 13.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2025 and 2030
• 13.4 Market opportunities
  • Adoption of hardware-aware automated neural architecture search
  • Rise of ultra-low precision quantization for generative intelligence
  • Integration of continuous optimization within enterprise MLOPS pipelines

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.com Inc.
  • Amazon.com Inc. - Overview
  • Amazon.com Inc. - Business segments
  • Amazon.com Inc. - Key news
  • Amazon.com Inc. - Key offerings
  • Amazon.com Inc. - Segment focus
  • SWOT
• 15.6 Apple Inc.
  • Apple Inc. - Overview
  • Apple Inc. - Business segments
  • Apple Inc. - Key news
  • Apple Inc. - Key offerings
  • Apple Inc. - Segment focus
  • SWOT
• 15.7 Arm Ltd.
  • Arm Ltd. - Overview
  • Arm Ltd. - Product / Service
  • Arm Ltd. - Key offerings
  • SWOT
• 15.8 Baidu Inc.
  • Baidu Inc. - Overview
  • Baidu Inc. - Business segments
  • Baidu Inc. - Key offerings
  • Baidu Inc. - Segment focus
  • SWOT
• 15.9 Blaize
  • Blaize - Overview
  • Blaize - Product / Service
  • Blaize - Key offerings
  • SWOT
• 15.10 Cadence Design Systems Inc.
  • Cadence Design Systems Inc. - Overview
  • Cadence Design Systems Inc. - Business segments
  • Cadence Design Systems Inc. - Key news
  • Cadence Design Systems Inc. - Key offerings
  • Cadence Design Systems Inc. - Segment focus
  • SWOT
• 15.11 Google LLC
  • Google LLC - Overview
  • Google LLC - Product / Service
  • Google LLC - Key offerings
  • SWOT
• 15.12 Hugging Face Inc.
  • Hugging Face Inc. - Overview
  • Hugging Face Inc. - Product / Service
  • Hugging Face Inc. - Key offerings
  • SWOT
• 15.13 IBM Corp.
  • IBM Corp. - Overview
  • IBM Corp. - Business segments
  • IBM Corp. - Key news
  • IBM Corp. - Key offerings
  • IBM Corp. - Segment focus
  • SWOT
• 15.14 Intel Corp.
  • Intel Corp. - Overview
  • Intel Corp. - Business segments
  • Intel Corp. - Key offerings
  • Intel Corp. - Segment focus
  • SWOT
• 15.15 Latent AI Inc.
  • Latent AI Inc. - Overview
  • Latent AI Inc. - Product / Service
  • Latent AI Inc. - Key offerings
  • SWOT
• 15.16 Meta Platforms Inc.
  • Meta Platforms Inc. - Overview
  • Meta Platforms Inc. - Business segments
  • Meta Platforms Inc. - Key offerings
  • Meta Platforms Inc. - Segment focus
  • SWOT
• 15.17 Microsoft Corp.
  • Microsoft Corp. - Overview
  • Microsoft Corp. - Business segments
  • Microsoft Corp. - Key news
  • Microsoft Corp. - Key offerings
  • Microsoft Corp. - Segment focus
  • SWOT
• 15.18 NVIDIA Corp.
  • NVIDIA Corp. - Overview
  • NVIDIA Corp. - Business segments
  • NVIDIA Corp. - Key news
  • NVIDIA Corp. - Key offerings
  • NVIDIA Corp. - 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