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市場調查報告書
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1737239

2026 年至 2032 年人工智慧 (AI) 軟體市場（按組件、部署類型、公司規模和地區分類）

Artificial Intelligence (AI) Software Market By Component (Software, Services), Deployment Mode (On-Premises, Cloud-Based), Enterprise Size (Small and Medium-sized Enterprises (SMEs), Large Enterprises), & Region for 2026-2032
出版日期: | 出版商: Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

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簡介目錄

人工智慧（AI）軟體市場評估-2026-2032

人工智慧 (AI) 軟體的需求日益成長，源自於其在各行各業提升業務效率、決策能力和消費者體驗方面的顛覆性潛力。 AI 軟體能夠自動執行複雜業務，提供預測分析，並支援即時數據處理——所有這些對於尋求提升績效和獲得競爭優勢的企業都至關重要。預計到 2024 年，AI 軟體的收入將超過 5,153.1 億美元，到 2032 年，其估值將達到約 2,7404.6 億美元。

巨量資料、雲端運算和物聯網 (IoT) 的興起，推動了對能夠處理大量資訊並提取有用洞察的人工智慧軟體的需求。越來越多的企業開始利用人工智慧進行數據主導的決策，這在當今快節奏的數位環境中至關重要。人工智慧能夠評估趨勢、預測市場動向並改善產品供應，使其成為商務策略中的關鍵要素，並推動市場在 2026 年至 2032 年期間的複合年成長率達到 20.4%。

人工智慧（AI）軟體市場：定義/概述

人工智慧 (AI) 軟體是一種模擬人類智慧並執行認知過程（例如學習、推理、解決問題、感知和自然語言理解）的電腦程式。 AI 軟體使用複雜的演算法和機器學習模型來處理大量資料、發現模式並基於這些資訊做出決策或預測。

人工智慧 (AI) 軟體正廣泛應用於各行各業，深刻改變企業營運和與客戶互動的方式。在醫療保健領域，AI 正被用於預測分析，透過評估大量患者數據來幫助診斷疾病並制定治療方案。

機器學習、深度學習和神經網路的持續進步可能會大幅提升人工智慧軟體的使用率。隨著人工智慧的發展，其應用將變得更加複雜，從而實現更高的自動化和個人化。在無人駕駛汽車等領域，人工智慧將改進安全功能和導航系統，使自動駕駛技術更接近現實。

金融領域擴大採用人工智慧 (AI) 是否會推動市場成長？

銀行業日益廣泛地使用人工智慧 (AI)，這是人工智慧軟體市場發展的關鍵驅動力。金融機構利用人工智慧來提升業務效率、客戶體驗和風險管理。這一趨勢源自於各金融服務領域對人工智慧技術的大規模投資和廣泛應用。世界經濟論壇預測，到 2023 年，85% 的金融機構將實施某種形式的人工智慧，77% 的金融機構預計人工智慧將在兩年內成為業務不可或缺的一部分。

人工智慧正在對各種金融服務產生巨大影響。美國證券交易委員會的數據顯示，基於人工智慧的交易演算法目前占美國股市總交易量的70%以上。美國國家保險委員會的報告顯示，人工智慧的引入已將索賠處理時間縮短了40%。國際貨幣基金組織預測，到2030年，人工智慧將取代金融業26%的工作時間，在全球節省5,120億美元的成本。

決策透明度問題會阻礙人工智慧 (AI) 市場的成長嗎？

決策透明度問題可能會影響人工智慧 (AI) 領域。人工智慧系統，尤其是基於深度學習等先進機器學習技術的系統，通常如同「黑盒子」一樣運作，無法理解它們如何得出特定結果。這種缺乏開放性的情況可能會引發一些擔憂。如果無法深入了解人工智慧的決策流程，就很難信任和檢驗這些結果，尤其是在醫療保健、金融和法律等關鍵產業。相關人員必須了解人工智慧決策背後的原因，以確保公平、準確和合規。

透明度問題可能會引發倫理擔憂，例如人工智慧系統中的偏見可能導致某些群體受到不公平對待。解決此類偏見需要了解決策的製定過程，而缺乏透明度使這一過程變得更加複雜。監管機構擴大要求人工智慧系統解釋其行為，以確保課責和道德的使用。未能滿足這些要求可能會因監管處罰而限制人工智慧的採用。

目錄

第1章 全球人工智慧（AI）軟體市場簡介

  • 市場概覽
  • 研究範圍
  • 先決條件

第2章執行摘要

第3章：已驗證的市場研究調查方法

  • 資料探勘
  • 驗證
  • 第一手資料
  • 資料來源列表

第4章 全球人工智慧（AI）軟體市場展望

  • 概述
  • 市場動態
    • 驅動程式
    • 限制因素
    • 機會
  • 波特五力模型
  • 價值鏈分析

第5章全球人工智慧（AI）軟體市場（按組件）

  • 概述
  • 軟體
  • 服務

第6章全球人工智慧（AI）軟體市場按部署類型

  • 概述
  • 本地
  • 雲端基礎

第7章全球人工智慧（AI）軟體市場（依公司規模）

  • 概述
  • 中小企業
  • 主要企業

第8章全球人工智慧（AI）軟體市場（按地區）

  • 概述
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 世界其他地區
  • 拉丁美洲
  • 中東和非洲

第9章全球人工智慧（AI）軟體市場的競爭格局

  • 概述
  • 各公司市場排名
  • 主要發展策略

第10章 公司簡介

  • Advanced Micro Devices
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • AiCure
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • Atomwise, Inc.
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • Ayasdi AI LLC
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • Baidu, Inc.
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • Clarifai, Inc.
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • Cyrcadia Health
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • Enlitic, Inc.
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • Google LLC
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • ai.
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • HyperVerge, Inc.
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • International Business Machines Corporation
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments

第11章 附錄

  • 相關調查
簡介目錄
Product Code: 59091

Artificial Intelligence (AI) Software Market Valuation - 2026-2032

The growing need for Artificial Intelligence (AI) software stems from its disruptive potential across industries which improves operational efficiency, decision-making, and consumer experience. AI software automates complicated operations provides predictive analytics, and allows for real-time data processing all of which are critical for businesses looking to improve performance and compete by enabling the market to surpass a revenue of USD 515.31 Billion valued in 2024 and reach a valuation of around USD 2740.46 Billion by 2032.

The rise of big data, cloud computing, and the Internet of Things (IoT) has increased the demand for AI software that can handle massive amounts of information and extract useful insights. Organizations are increasingly using AI for data-driven decision-making which is critical in today's fast-paced digital landscape. AI's capacity to evaluate trends, predict market movements, and improve product offers has made it crucial in business strategy by enabling the market to grow at a CAGR of 20.4% from 2026 to 2032.

Artificial Intelligence (AI) Software Market: Definition/ Overview

Artificial intelligence (AI) software is a type of computer program that simulates human intellect and performs cognitive processes like learning, reasoning, problem-solving, perception, and natural language understanding. AI software uses complex algorithms and machine learning models to process massive volumes of data, discover patterns, and make judgments or predictions based on that information.

Artificial intelligence (AI) software has several uses across industries, profoundly changing how businesses run and engage with customers. In healthcare, AI is utilized for predictive analytics, which helps with disease diagnosis and treatment planning by evaluating large datasets of patient data.

The use of AI software is likely to grow dramatically, thanks to continued advances in machine learning, deep learning, and neural networks. As AI advances, its applications will grow more complex, enabling increased automation and personalization. In areas such as driverless vehicles, AI will improve safety features and navigation systems making self-driving technology more viable.

Will the Increasing Adoption of Artificial Intelligence (AI) in the Finance Sector Drive Market Growth?

The growing use of Artificial Intelligence (AI) in the banking sector is a primary driver of the AI software market with financial institutions using AI to improve operational efficiency, client experiences, and risk management. This trend is fueled by significant investments and the widespread adoption of AI technologies across a variety of financial services. According to the World Economic Forum, 85% of financial institutions have deployed AI in some capacity by 2023 with 77% expecting AI to become critical to their operations within two years.

The impact of AI on various financial services is significant. According to the Securities and Exchange Commission, AI-powered trading algorithms currently account for more than 70% of total trading volume in the United States equities markets. The National Association of Insurance Commissioners reports that AI implementation has resulted in a 40% reduction in claims processing time. According to the International Monetary Fund, AI has the potential to displace 26% of work hours in the financial industry by 2030, saving USD 512 Billion in worldwide costs.

Could Transparency Issues in Decision-Making Hinder the Growth of the Artificial Intelligence (AI) Market?

Transparency difficulties in decision-making could affect the artificial intelligence (AI) sector. AI systems, particularly those based on advanced machine learning techniques like deep learning, frequently function as "black boxes," making it impossible to understand how they arrive at specific results. This lack of openness may raise several concerns. Without specific insights into AI decision-making processes, it is difficult to trust and validate these findings, especially in critical industries such as healthcare, finance, and law. Stakeholders must understand the reasoning underlying AI-driven judgments to ensure fairness, accuracy, and regulatory adherence.

Transparency issues may pose ethical concerns such as biases in AI systems which might result in unfair treatment of some populations. Addressing these biases necessitates understanding how decisions are made which is complicated by a lack of transparency. Regulatory bodies are increasingly demanding that AI systems explain their actions to ensure accountability and ethical use. Failure to meet these requirements may result in regulatory penalties that limit AI deployment.

Category-Wise Acumens

Will the Growth in Computing Power and Data Availability Drive the Component Segment?

Increasing computing power and data availability will dominate the artificial intelligence (AI) sector, particularly its software component. AI algorithms can be executed quicker and on a wider scale when computing power improves with the introduction of more powerful processors, graphics processing units (GPUs), and specialized AI hardware accelerators such as tensor processors. This increased computer power enables the development and deployment of more complex AI models such as deep learning neural networks which need enormous computational resources.

Furthermore, AI algorithms are powered by massive amounts of data generated by a number of sources such as sensors, IoT devices, social media, and digital platforms. Increased data availability allows AI models to be trained on larger, more diverse datasets, resulting in more accurate and resilient AI applications. Furthermore, advancements in data storage technologies, cloud computing, and edge computing infrastructure have made it easier to store and analyze massive volumes of data enabling AI software to extract important insights and make real-time decisions.

Will the Growing Demand for Easier Access to Advanced AI Capabilities Propel The Deployment Segment?

The increased demand for easy access to advanced AI capabilities will dominate the deployment segment of the artificial intelligence (AI) market, particularly cloud-based solutions. Businesses are quickly recognizing the value of AI in driving innovation, increasing efficiency, and gaining a competitive advantage. Traditional on-premises installations may need significant upfront investments in infrastructure, technical skills, and upkeep making adoption challenging for many businesses. Cloud platforms offer scalable computing resources, pre-configured AI services, and managed infrastructure allowing enterprises to quickly adopt and grow AI solutions based on their specific needs.

Furthermore, cloud-based AI solutions enable businesses to leverage the most recent developments in AI technologies such as machine learning, natural language processing, and computer vision without the need to manage complex infrastructure or software updates. This agility and flexibility enables businesses to experiment with AI, iterate on solutions, and innovate swiftly in response to changing business issues and opportunities. As a result, the growing need for easier access to advanced AI capabilities will drive the development of cloud-based deployment methods influencing the future of the AI sector.

Country/Region-wise Acumens

Will the Growing Adoption of Robust AI Development Environments Drive Growth in the North American Region?

The North American AI software industry is primarily driven by the increasing usage of powerful AI development environments with the United States at the forefront. This dominance is due to the region's superior technological infrastructure, significant investments in R&D, and a thriving ecosystem of tech giants and entrepreneurs. The adoption of AI development environments in North America is indicated by the National Science Foundation's (NSF) claim that US federal funding for AI research and development reached USD 1.9 Billion in fiscal year 2023, a 30% increase over the previous year.

Another important factor driving AI adoption is the corporate sector. According to a poll conducted by the MIT Sloan Management Review, 97% of large organizations in North America are engaging in AI programs with 64% reporting measurable benefits. According to the National Center for Science and Engineering Statistics, corporate enterprise expenditure on AI R&D in the United States would reach USD 78 Billion in 2023, up 15% from the previous year. The use of cloud-based AI platforms is rising, with the US Government Accountability Office forecasting a 25% rise in federal agencies' spending on cloud services, including AI platforms, in 2023 compared to 2022.

Will the Asia Pacific Region Be Driven By Rapid Economic Development and Technological Adoption?

The Asia Pacific region is witnessing the highest growth in the artificial intelligence (AI) software industry owing to rapid economic expansion and increased technological usage. This rapid rise is being driven by significant investments in digital infrastructure, a thriving startup culture, and strong government backing for AI programs across all sectors. Asia Pacific's strong economic growth is a key driver of the AI software market. According to the Asian Development Bank (ADB), the region's GDP increased by 4.8% in 2023, exceeding worldwide norms.

Government initiatives play a critical role in driving AI software adoption. China's New Generation Artificial Intelligence Development Plan aims to position the country as a global leader in AI by 2030, with the Ministry of Science and Technology reporting a USD 2.1 Billion investment in AI research in 2023. Similarly, India's National Strategy for Artificial Intelligence set out $477 million for AI development in the 2023-24 budget. According to the Japan Patent Office, the Society 5.0 project which focuses on integrating AI into all sectors of society, has resulted in a 28% rise in AI-related patents by 2023.

Competitive Landscape

The Artificial Intelligence (AI) Software Market is a dynamic and competitive space, characterized by a diverse range of players vying for market share. These players are on the run for solidifying their presence through the adoption of strategic plans such as collaborations, mergers, acquisitions, and political support. The organizations are focusing on innovating their product line to serve the vast population in diverse regions.

Some of the prominent players operating in the artificial intelligence (AI) software market include:

  • Advanced Micro Devices
  • AiCure
  • Arm Limited
  • Atomwise, Inc.
  • Ayasdi AI LLC
  • Baidu, Inc.
  • Clarifai, Inc.
  • Cyrcadia Health
  • Enlitic, Inc.
  • Google LLC
  • ai.
  • HyperVerge, Inc.
  • International Business Machines Corporation

Latest Developments

  • In March 2024, Microsoft and NVIDIA announced a collaboration focused on advancing AI for the healthcare and life sciences industry. This partnership leverages the strengths of both companies: Microsoft Azure's cloud infrastructure and advanced computing capabilities, alongside NVIDIA's DGX Cloud and Clara suite. The goal is to accelerate innovation and improve patient care through developments in areas like clinical research and drug discovery.
  • In March 2024, NVIDIA launched new Generative AI Microservices designed to advance medical technology (MedTech), drug discovery, and digital health. These microservices leverage artificial intelligence (AI) to potentially improve healthcare technology.

Artificial Intelligence (AI) Software Market, By Category

  • Component:
  • Software
  • Services
  • Deployment Mode:
  • On-Premises
  • Cloud-Based
  • Enterprise Size:
  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprises
  • Region:
  • North America
  • Europe
  • Asia-Pacific
  • South America
  • Middle East & Africa

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL ARTIFICIAL INTELLIGENCE (AI) SOFTWARE MARKET

  • 1.1 Overview of the Market
  • 1.2 Scope of Report
  • 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

  • 3.1 Data Mining
  • 3.2 Validation
  • 3.3 Primary Interviews
  • 3.4 List of Data Sources

4 GLOBAL ARTIFICIAL INTELLIGENCE (AI) SOFTWARE MARKET OUTLOOK

  • 4.1 Overview
  • 4.2 Market Dynamics
    • 4.2.1 Drivers
    • 4.2.2 Restraints
    • 4.2.3 Opportunities
  • 4.3 Porters Five Force Model
  • 4.4 Value Chain Analysis

5 GLOBAL ARTIFICIAL INTELLIGENCE (AI) SOFTWARE MARKET, BY COMPONENT

  • 5.1 Overview
  • 5.2 Software
  • 5.3 Services

6 GLOBAL ARTIFICIAL INTELLIGENCE (AI) SOFTWARE MARKET, BY DEPLOYMENT MODE

  • 6.1 Overview
  • 6.2 On-Premises
  • 6.3 Cloud-Based

7 GLOBAL ARTIFICIAL INTELLIGENCE (AI) SOFTWARE MARKET, BY ENTERPRISE SIZE

  • 7.1 Overview
  • 7.2 Small and Medium-sized Enterprises (SMEs)
  • 7.3 Large Enterprises

8 GLOBAL ARTIFICIAL INTELLIGENCE (AI) SOFTWARE MARKET, BY GEOGRAPHY

  • 8.1 Overview
  • 8.2 North America
    • 8.2.1 U.S.
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 U.K.
    • 8.3.3 France
    • 8.3.4 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 China
    • 8.4.2 Japan
    • 8.4.3 India
    • 8.4.4 Rest of Asia Pacific
  • 8.5 Rest of the World
  • 8.6 Latin America
  • 8.7 Middle East and Africa

9 GLOBAL ARTIFICIAL INTELLIGENCE (AI) SOFTWARE MARKET COMPETITIVE LANDSCAPE

  • 9.1 Overview
  • 9.2 Company Market Ranking
  • 9.3 Key Development Strategies

10 COMPANY PROFILES

  • 10.1 Advanced Micro Devices
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • 10.2 AiCure
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • 10.3 Atomwise, Inc.
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • 10.4 Ayasdi AI LLC
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • 10.5 Baidu, Inc.
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • 10.6 Clarifai, Inc.
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • 10.7 Cyrcadia Health
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • 10.8 Enlitic, Inc.
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • 10.9 Google LLC
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • 10.10 ai.
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • 10.11 HyperVerge, Inc.
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments
  • 10.12 International Business Machines Corporation
  • Overview
  • Financial Performance
  • Product Outlook
  • Key Developments

11 Appendix

  • 11.1 Related Research