2026-2030年全球人工智慧推理最佳化軟體市場
市場調查報告書
商品編碼
1937580

2026-2030年全球人工智慧推理最佳化軟體市場

Global AI Inference Optimization Software Market 2026-2030

出版日期: | 出版商: TechNavio | 英文 302 Pages | 訂單完成後即時交付

價格
簡介目錄

全球人工智慧推理最佳化軟體市場預計從 2025 年到 2030 年將成長 37.212 億美元,預測期內複合年成長率為 22.1%。

本報告對全球人工智慧推理最佳化軟體市場進行了全面分析,包括市場規模和預測、趨勢、成長要素和挑戰,以及對約 25 家公司的供應商分析。

本報告對當前市場狀況、最新趨勢和促進因素以及整體市場環境進行了最新分析。市場成長的促進因素包括:網路邊緣即時處理需求的不斷成長、生成式人工智慧和大規模語言模型的快速普及,以及企業對永續性和能源效率日益增強的承諾。

本研究採用客觀的方法,結合一手和二手訊息,包括來自主要行業相關人員的意見。報告包含對主要企業的分析、全面的市場規模數據、區域細分分析以及供應商格局。報告提供歷史數據和預測數據。

市場覆蓋範圍
基準年 2026
年末 2030
預測期 2026-2030
成長勢頭 加速度
2026年與前一年相比 20.3%
複合年成長率 22.1%
增量 37.212億美元

研究指出,硬體無關編譯和互通性標準的普及是未來幾年推動全球人工智慧推理最佳化軟體市場成長的關鍵因素之一。此外,生成式架構向動態和運行時特定最佳化的轉變,以及新興市場中tinyml和裝置端個人化的發展,預計也將為市場帶來巨大的需求。

目錄

第1章執行摘要

第2章 Technavio 分析

  • 價格、生命週期、顧客購買籃、採用率和購買標準分析
  • 投入與差異化因素的重要性
  • 混淆來源
  • 促進因素和挑戰的影響

第3章 市場情勢

  • 市場生態系統
  • 市場特徵
  • 價值鏈分析

第4章 市場規模

  • 市場定義
  • 市場區隔分析
  • 2025年市場規模
  • 2025-2030年市場展望

第5章 市場規模表現

  • 2020-2024年全球人工智慧推理最佳化軟體市場
  • 零件細分市場分析 2020-2024
  • 2020-2024年細分市場分析
  • 2020-2024年業務部門分析
  • 2020-2024年區域市場分析
  • 2020-2024年國家細分市場分析

第6章五力分析

  • 五力分析概述
  • 買方的議價能力
  • 供應商的議價能力
  • 新進入者的威脅
  • 替代品的威脅
  • 競爭威脅
  • 市場狀況

7. 按組件進行市場細分

  • 比較:按組件
  • 模型最佳化工具
  • 推理運行時和引擎
  • 平台和框架
  • 服務
  • 按組件分類的市場機會

8. 依部署方式進行市場區隔

  • 比較:依部署方式
  • 基於雲端的
  • 本地部署
  • 按部署方式分類的市場機會

第9章 依業務部門進行市場細分

  • 比較:按業務部門
  • 主要企業
  • 小型企業
  • 按業務部門的市場機會

第10章 客戶情況

第11章 區域情勢

  • 區域細分
  • 區域比較
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 荷蘭
    • 西班牙
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非
    • 以色列
    • 土耳其
  • 各區域的市場機遇

第12章:促進因素、挑戰與機遇

  • 市場促進因素
  • 市場挑戰
  • 促進因素和挑戰的影響
  • 市場機遇

第13章 競爭格局

  • 概述
  • 競爭格局
  • 令人困惑的局面
  • 產業風險

第14章 競爭分析

  • 公司簡介
  • 企業排名指數
  • 公司市場定位
  • Advanced Micro Devices Inc.
  • Amazon.com Inc.
  • Blaize
  • Edgeimpulse Inc.
  • Google LLC
  • Groq Inc.
  • Hugging Face Inc.
  • IBM Corp.
  • Intel Corp.
  • Microsoft Corp.
  • Modular Inc.
  • NVIDIA Corp.
  • Qualcomm Inc.
  • Red Hat Inc.
  • Syntiant Corp.

第15章附錄

簡介目錄
Product Code: IRTNTR81290

The global AI inference optimization software market is forecasted to grow by USD 3721.2 mn during 2025-2030, accelerating at a CAGR of 22.1% during the forecast period. The report on the global AI inference optimization software 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 escalating demand for real-time processing at network edge, rapid proliferation of generative AI and large language models, growing corporate commitment to 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.

Market Scope
Base Year2026
End Year2030
Series Year2026-2030
Growth MomentumAccelerate
YOY 202620.3%
CAGR22.1%
Incremental Value$3721.2 mn

Technavio's global AI inference optimization software market is segmented as below:

By Component

  • Model optimization tools
  • Inference runtimes and engines
  • Platforms and frameworks
  • Services

By Deployment

  • Cloud based
  • On premises

By Business Segment

  • Large enterprises
  • Small and medium enterprises

Geography

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

This study identifies the proliferation of hardware-agnostic compilation and interoperability standards as one of the prime reasons driving the global AI inference optimization software market growth during the next few years. Also, transition toward dynamic and runtime-specific optimization for generative architectures and expansion of tinyml and on-device personalization in emerging markets will lead to sizable demand in the market.

The report on the global AI inference optimization software market covers the following areas:

  • Global AI inference optimization software market sizing
  • Global AI inference optimization software market forecast
  • Global AI inference optimization software 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 inference optimization software market vendors that include Advanced Micro Devices Inc., Amazon.com Inc., Blaize, Cerebras, Edgeimpulse Inc., Google LLC, Graphcore Ltd., Groq Inc., Hailo Technologies Ltd., Hugging Face Inc., IBM Corp., Intel Corp., Latent AI Inc., Microsoft Corp., Modular Inc., NVIDIA Corp., Qualcomm Inc., Red Hat Inc., SambaNova Systems Inc., Syntiant Corp.. Also, the global AI inference optimization software 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 Component
    • Executive Summary - Chart on Market Segmentation by Deployment
    • Executive Summary - Chart on Market Segmentation by Business Segment
    • 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 Inference Optimization Software Market 2020 - 2024
    • Historic Market Size - Data Table on Global AI Inference Optimization Software Market 2020 - 2024 ($ million)
  • 5.2 Component segment analysis 2020 - 2024
    • Historic Market Size - Component Segment 2020 - 2024 ($ million)
  • 5.3 Deployment segment analysis 2020 - 2024
    • Historic Market Size - Deployment Segment 2020 - 2024 ($ million)
  • 5.4 Business segment analysis 2020 - 2024
    • Historic Market Size - Business 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 Five Forces Analysis

  • 6.1 Five forces summary
    • Five forces analysis - Comparison between 2025 and 2030
  • 6.2 Bargaining power of buyers
    • Bargaining power of buyers - Impact of key factors 2025 and 2030
  • 6.3 Bargaining power of suppliers
    • Bargaining power of suppliers - Impact of key factors in 2025 and 2030
  • 6.4 Threat of new entrants
    • Threat of new entrants - Impact of key factors in 2025 and 2030
  • 6.5 Threat of substitutes
    • Threat of substitutes - Impact of key factors in 2025 and 2030
  • 6.6 Threat of rivalry
    • Threat of rivalry - Impact of key factors in 2025 and 2030
  • 6.7 Market condition

7 Market Segmentation by Component

  • 7.1 Market segments
  • 7.2 Comparison by Component
  • 7.3 Model optimization tools - Market size and forecast 2025-2030
  • 7.4 Inference runtimes and engines - Market size and forecast 2025-2030
  • 7.5 Platforms and frameworks - Market size and forecast 2025-2030
  • 7.6 Services - Market size and forecast 2025-2030
  • 7.7 Market opportunity by Component
    • Market opportunity by Component ($ million)

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 On premises - Market size and forecast 2025-2030
  • 8.5 Market opportunity by Deployment
    • Market opportunity by Deployment ($ million)

9 Market Segmentation by Business Segment

  • 9.1 Market segments
  • 9.2 Comparison by Business Segment
  • 9.3 Large enterprises - Market size and forecast 2025-2030
  • 9.4 Small and medium enterprises - Market size and forecast 2025-2030
  • 9.5 Market opportunity by Business Segment
    • Market opportunity by Market Segmentation by Business Segment ($ million)

10 Customer Landscape

  • 10.1 Customer landscape overview
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

11 Geographic Landscape

  • 11.1 Geographic segmentation
  • 11.2 Geographic comparison
  • 11.3 North America - Market size and forecast 2025-2030
    • 11.3.1 US - Market size and forecast 2025-2030
    • 11.3.2 Canada - Market size and forecast 2025-2030
    • 11.3.3 Mexico - Market size and forecast 2025-2030
  • 11.4 Europe - Market size and forecast 2025-2030
    • 11.4.1 Germany - Market size and forecast 2025-2030
    • 11.4.2 UK - Market size and forecast 2025-2030
    • 11.4.3 France - Market size and forecast 2025-2030
    • 11.4.4 Italy - Market size and forecast 2025-2030
    • 11.4.5 The Netherlands - Market size and forecast 2025-2030
    • 11.4.6 Spain - Market size and forecast 2025-2030
  • 11.5 APAC - Market size and forecast 2025-2030
    • 11.5.1 China - Market size and forecast 2025-2030
    • 11.5.2 Japan - Market size and forecast 2025-2030
    • 11.5.3 India - Market size and forecast 2025-2030
    • 11.5.4 South Korea - Market size and forecast 2025-2030
    • 11.5.5 Australia - Market size and forecast 2025-2030
    • 11.5.6 Indonesia - Market size and forecast 2025-2030
  • 11.6 South America - Market size and forecast 2025-2030
    • 11.6.1 Brazil - Market size and forecast 2025-2030
    • 11.6.2 Argentina - Market size and forecast 2025-2030
    • 11.6.3 Colombia - Market size and forecast 2025-2030
  • 11.7 Middle East and Africa - Market size and forecast 2025-2030
    • 11.7.1 Saudi Arabia - Market size and forecast 2025-2030
    • 11.7.2 UAE - Market size and forecast 2025-2030
    • 11.7.3 South Africa - Market size and forecast 2025-2030
    • 11.7.4 Israel - Market size and forecast 2025-2030
    • 11.7.5 Turkey - Market size and forecast 2025-2030
  • 11.8 Market opportunity by geography
    • Market opportunity by geography ($ million)
    • Data Tables on Market opportunity by geography ($ million)

12 Drivers, Challenges, and Opportunity

  • 12.1 Market drivers
    • Escalating demand for real-time processing at network edge
    • Rapid proliferation of generative AI and large language models
    • Growing corporate commitment to sustainability and energy efficiency
  • 12.2 Market challenges
    • Persistence of hardware heterogeneity and interoperability barriers
    • Technical hurdles in maintaining predictive accuracy during model compression
    • Rapid velocity of neural architecture evolution and software obsolescence
  • 12.3 Impact of drivers and challenges
    • Impact of drivers and challenges in 2025 and 2030
  • 12.4 Market opportunities
    • Proliferation of hardware-agnostic compilation and interoperability standards
    • Transition toward dynamic and runtime-specific optimization for generative architectures
    • Expansion of TinyML and On-device personalization in emerging markets

13 Competitive Landscape

  • 13.1 Overview
  • 13.2 Competitive Landscape
    • Overview on criticality of inputs and factors of differentiation
  • 13.3 Landscape disruption
    • Overview on factors of disruption
  • 13.4 Industry risks
    • Impact of key risks on business

14 Competitive Analysis

  • 14.1 Companies profiled
    • Companies covered
  • 14.2 Company ranking index
    • Company ranking index
  • 14.3 Market positioning of companies
    • Matrix on companies position and classification
  • 14.4 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
  • 14.5 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
  • 14.6 Blaize
    • Blaize - Overview
    • Blaize - Product / Service
    • Blaize - Key offerings
    • SWOT
  • 14.7 Edgeimpulse Inc.
    • Edgeimpulse Inc. - Overview
    • Edgeimpulse Inc. - Product / Service
    • Edgeimpulse Inc. - Key offerings
    • SWOT
  • 14.8 Google LLC
    • Google LLC - Overview
    • Google LLC - Product / Service
    • Google LLC - Key offerings
    • SWOT
  • 14.9 Groq Inc.
    • Groq Inc. - Overview
    • Groq Inc. - Product / Service
    • Groq Inc. - Key offerings
    • SWOT
  • 14.10 Hugging Face Inc.
    • Hugging Face Inc. - Overview
    • Hugging Face Inc. - Product / Service
    • Hugging Face Inc. - Key offerings
    • SWOT
  • 14.11 IBM Corp.
    • IBM Corp. - Overview
    • IBM Corp. - Business segments
    • IBM Corp. - Key news
    • IBM Corp. - Key offerings
    • IBM Corp. - Segment focus
    • SWOT
  • 14.12 Intel Corp.
    • Intel Corp. - Overview
    • Intel Corp. - Business segments
    • Intel Corp. - Key news
    • Intel Corp. - Key offerings
    • Intel Corp. - Segment focus
    • SWOT
  • 14.13 Microsoft Corp.
    • Microsoft Corp. - Overview
    • Microsoft Corp. - Business segments
    • Microsoft Corp. - Key news
    • Microsoft Corp. - Key offerings
    • Microsoft Corp. - Segment focus
    • SWOT
  • 14.14 Modular Inc.
    • Modular Inc. - Overview
    • Modular Inc. - Product / Service
    • Modular Inc. - Key offerings
    • SWOT
  • 14.15 NVIDIA Corp.
    • NVIDIA Corp. - Overview
    • NVIDIA Corp. - Business segments
    • NVIDIA Corp. - Key news
    • NVIDIA Corp. - Key offerings
    • NVIDIA Corp. - Segment focus
    • SWOT
  • 14.16 Qualcomm Inc.
    • Qualcomm Inc. - Overview
    • Qualcomm Inc. - Business segments
    • Qualcomm Inc. - Key news
    • Qualcomm Inc. - Key offerings
    • Qualcomm Inc. - Segment focus
    • SWOT
  • 14.17 Red Hat Inc.
    • Red Hat Inc. - Overview
    • Red Hat Inc. - Product / Service
    • Red Hat Inc. - Key offerings
    • SWOT
  • 14.18 Syntiant Corp.
    • Syntiant Corp. - Overview
    • Syntiant Corp. - Product / Service
    • Syntiant Corp. - Key offerings
    • SWOT

15 Appendix

  • 15.1 Scope of the report
    • Market definition
    • Objectives
    • Notes and caveats
  • 15.2 Inclusions and exclusions checklist
    • Inclusions checklist
    • Exclusions checklist
  • 15.3 Currency conversion rates for US$
    • Currency conversion rates for US$
  • 15.4 Research methodology
    • Research methodology
  • 15.5 Data procurement
    • Information sources
  • 15.6 Data validation
    • Data validation
  • 15.7 Validation techniques employed for market sizing
    • Validation techniques employed for market sizing
  • 15.8 Data synthesis
    • Data synthesis
  • 15.9 360 degree market analysis
    • 360 degree market analysis
  • 15.10 List of abbreviations
    • List of abbreviations