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市場調查報告書

商品編碼

1649501

可解釋人工智慧市場：預測（2025-2030 年）

Explainable Ai Market - Forecasts from 2025 to 2030

出版日期: 2025年01月22日 | 出版商:

Knowledge Sourcing Intelligence | 英文 146 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

可解釋的人工智慧市場預計將從 2025 年的 114.76 億美元成長到 2030 年的 229.44 億美元，複合年成長率為 14.86%。

可解釋人工智慧（AI）是指旨在提高人工智慧主導的決策流程的準確性、透明度和可理解性的人工智慧模型。它包含使用戶能夠理解和信任機器學習演算法產生的結果的技術和實踐。使用者通常很難理解人工智慧系統如何得出結論，因此可解釋的人工智慧透過讓人們信任所產生的結果來解決這一挑戰。隨著可解釋人工智慧的價值在各個行業中不斷增加，其市場正在經歷強勁成長。它在建立對人工智慧決策的信任、管理與模型管治相關的風險以及加速人工智慧的採用方面發揮關鍵作用。醫療保健和金融等領域擴大採用人工智慧技術，推動了對人工智慧決策透明度的需求，從而進一步推動了市場成長。此外，政府法規非常重視人工智慧系統的課責和透明度。

主要成長動力

各行業對人工智慧的應用日益廣泛：人工智慧擴大融入醫療保健、金融、零售、製造、電子商務和政府服務等領域，推動了對可解釋的人工智慧解決方案的需求。 SAP 最近的一項調查顯示，2,000 名受訪者中 96% 已要求經營團隊在公司業務中探索和實施 AI 技術。此外，52% 的受訪者計劃在未來兩年內將人工智慧預算增加 25% 至 50%。
信任和透明度的需求：隨著越來越多的組織採用人工智慧技術，理解這些系統所做的決策成為一項挑戰。隨著企業尋求確保決策流程的信任、信心和透明度，對可解釋的人工智慧的需求正在成長。根據史丹佛大學的《2024 年人工智慧指數報告》，44% 的受訪組織將透明度和可解釋性列為採用人工智慧的關鍵關注點。

地理視角

預計在整個預測期內，北美將主導可解釋的人工智慧市場，其中美國將處於領先地位。該地區人工智慧產業的成長對可解釋人工智慧解決方案的擴展做出了巨大貢獻。促進決策透明度和課責的嚴格規定進一步推動了市場成長。根據史丹佛大學的一項研究，美國在研發頂尖人工智慧模型方面落後於中國、歐盟和英國，到 2023 年，將有 61 個值得關注的模式來自美國機構。隨著人工智慧的採用不斷增加以及 GDPR 等監管要求推動對可解釋的人工智慧解決方案的需求，歐洲市場預計也將大幅成長。另一方面，由於中國、日本、韓國和印度等國家擴大採用人工智慧技術，預計亞太地區將出現成長，從而增加對人工智慧解決方案的需求。

為什麼要購買這份報告？

深刻分析：獲得深入的市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、垂直行業和其他子區隔，涵蓋主要地區和新興地區。
競爭格局：了解全球主要企業所採用的策略策略，並了解正確策略帶來的潛在市場滲透率。
市場趨勢和促進因素：探索動態因素和關鍵市場趨勢以及它們將如何影響未來的市場發展。
可行的建議：利用洞察力做出策略決策，在動態環境中開闢新的業務流和收益。
受眾廣泛：對於新興企業、研究機構、顧問公司、中小企業和大型企業都有益且具有成本效益。

它有什麼用途？

產業與市場分析、商業機會評估、產品需求預測、打入市場策略、地理擴張、資本支出決策、法律規範與影響、新產品開發、競爭影響

研究範圍

2022 年至 2030 年的實際資料和預測
成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
競爭定位、策略與市場佔有率分析
細分和區域分析，包括收益成長和預測國家
公司概況（策略、產品、財務、主要發展等）

可解釋的人工智慧市場細分如下：

按類型

LIME（局部可解釋的模型無關解釋）
SHAP（Shapely Additive Explanations）
部分依賴圖 (PDP)
其他

按部署

本地
雲

按應用

錯誤檢測和調試
詐騙偵測和管理
供應鏈管理和預測性維護
其他

按行業

衛生保健
金融和銀行服務
政府及公共機構
資訊科技/通訊
其他

按地區

北美洲
美國
加拿大
墨西哥
南美洲
巴西
阿根廷
其他
歐洲
英國
德國
法國
西班牙
其他
中東和非洲
沙烏地阿拉伯
UAE
其他
亞太地區
中國
日本
韓國
澳洲
印度
印尼
泰國
其他

介紹
北美洲
- 按類型
- 按部署
- 按應用
- 按行業
- 按國家
南美洲
- 按類型
- 按部署
- 按應用
- 按行業
- 按國家
歐洲
- 按類型
- 按部署
- 按應用
- 按行業
- 按國家
中東和非洲
- 按類型
- 按部署
- 按應用
- 按行業
- 按國家
亞太地區
- 按類型
- 按部署
- 按應用
- 按行業
- 按國家

第10章競爭格局及分析

主要企業和策略分析
市場佔有率分析
合併、收購、協議和合作
競爭儀錶板

第11章公司簡介

IBM
Alphabet Inc.
Microsoft
Equifax
Intel Corporation
SAS Institute Inc.
C3 AI
FICO
H20.ai
Fiddler AI
Data Robot

簡介目錄

Product Code: KSI061617262

The Explainable AI Market is expected to grow at a CAGR of 14.86%, reaching a market size of US$22.944 billion in 2030 from US$11.476 billion in 2025.

Explainable AI (AI) refers to artificial intelligence models designed to enhance accuracy, transparency, and understanding in AI-driven decision-making processes. It encompasses methods and practices that enable users to comprehend and trust the results generated by machine learning algorithms. As users often struggle to grasp how AI systems arrive at their conclusions, explainable AI addresses these challenges by fostering trust in the outcomes produced. Consequently, AI is essential for organizations utilizing AI, as it helps build consumer confidence and trust.The market for explainable AI is witnessing robust growth due to its increasing value across various industries. It plays a critical role in establishing trust in AI decision-making, managing risks associated with model governance, and accelerating AI implementation. The rising adoption of AI technologies in sectors such as healthcare and finance has intensified the demand for transparency in AI-generated decisions, further propelling market growth. Additionally, government regulations are emphasizing accountability and transparency within AI systems.

Key Growth Drivers

Increasing AI Adoption Across Industries: The growing integration of AI into sectors like healthcare, finance, retail, manufacturing, e-commerce, and government services is driving the demand for explainable AI solutions. A recent SAP survey revealed that 96% of 2,000 respondents indicated executive mandates to explore and implement AI technologies in their operations. Furthermore, 52% of participants plan to increase their AI budgets by 25% to 50% over the next two years.
Need for Trust and Transparency: As more organizations adopt AI technologies, there are challenges in understanding the decisions made by these systems. The demand for explainable AI is rising as organizations seek to ensure trust, confidence, and transparency in their decision-making processes. According to Stanford University's "Artificial Intelligence Index Report 2024," 44% of surveyed organizations identified transparency and explainability as key concerns regarding AI adoption.

Geographical Outlook

North America is projected to dominate the explainable AI market throughout the forecast period, with the United States leading this trend. The region's growth in the AI sector is significantly contributing to the expansion of explainable AI solutions. Strict regulations promoting transparency and accountability in decision-making further drive market growth. Research from Stanford University indicates that the U.S. is ahead of China, the EU, and the U.K. in producing top-tier AI models, with 61 notable models originating from U.S.-based institutions in 2023.The European market is also expected to grow substantially due to increased AI adoption and regulatory requirements like GDPR that foster demand for explainable AI solutions. Meanwhile, the Asia Pacific region will experience growth as countries such as China, Japan, South Korea, and India increasingly adopt AI technologies, boosting the need for AI solutions.

Reasons for buying this report:-

Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

Historical data & forecasts from 2022 to 2030
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The Explainable AI market has been segmented as following:

By Type

LIME (Local-Interpretable Model-Agnostic Explanations)
SHAP (Shapely Additive Explanations)
Partial Dependence Plots (PDP)
Others

By Deployment

On-Premises
Cloud

By Application

Error detection and Debugging
Fraud Detection and Management
Supply chain management and Predictive Maintenance
Others

By Industry Vertical

Healthcare
Financial & Banking Services
Government and Public sector
IT and Telecommunication
Others

By Geography

North America
USA
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
United Kingdom
Germany
France
Spain
Others
Middle East and Africa
Saudi Arabia
UAE
Others
Asia Pacific
China
Japan
South Korea
Australia
India
Indonesia
Thailand
Others

1. INTRODUCTION

1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Market Segmentation
1.5. Currency
1.6. Assumptions
1.7. Base and Forecast Years Timeline
1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY

2.1. Research Design
2.2. Research Processes

3. EXECUTIVE SUMMARY

3.1. Key Findings
3.2. CXO Perspective

4. MARKET DYNAMICS

4.1. Market Drivers
4.2. Market Restraints
4.3. Porter's Five Forces Analysis
- 4.3.1. Bargaining Power of Suppliers
- 4.3.2. Bargaining Power of Buyers
- 4.3.3. Threat of New Entrants
- 4.3.4. Threat of Substitutes
- 4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
4.5. Analyst View

5. EXPLAINABLE AI MARKET BY TYPE

5.1. Introduction
5.2. LIME (Local-Interpretable Model-Agnostic Explanations)
5.3. SHAP (Shapely Additive Explanations)
5.4. Partial Dependence Plots (PDP)
5.5. Others

6. EXPLAINABLE AI MARKET BY DEPLOYMENT

6.1. Introduction
6.2. On-Premises
6.3. Cloud

7. EXPLAINABLE AI MARKET BY APPLICATION

7.1. Introduction
7.2. Error Detection and Debugging
7.3. Fraud Detection and Management
7.4. Supply chain management and Predictive Maintenance
7.5. Others

8. EXPLAINABLE AI MARKET BY INDUSTRY VERTICAL

8.1. Introduction
8.2. Healthcare
8.3. Financial & Banking Services
8.4. Government and Public Sector
8.5. IT and Telecommunication
8.6. Others

9. EXPLAINABLE AI MARKET BY GEOGRAPHY

9.1. Introduction
9.2. North America
- 9.2.1. By Type
- 9.2.2. By Deployment
- 9.2.3. By Application
- 9.2.4. By Industry-Vertical
- 9.2.5. By Country
  - 9.2.5.1. USA
  - 9.2.5.2. Canada
  - 9.2.5.3. Mexico
9.3. South America
- 9.3.1. By Type
- 9.3.2. By Deployment
- 9.3.3. By Application
- 9.3.4. By Industry-Vertical
- 9.3.5. By Country
  - 9.3.5.1. Brazil
  - 9.3.5.2. Argentina
  - 9.3.5.3. Others
9.4. Europe
- 9.4.1. By Type
- 9.4.2. By Deployment
- 9.4.3. By Application
- 9.4.4. By Industry-Vertical
- 9.4.5. By Country
  - 9.4.5.1. United Kingdom
  - 9.4.5.2. Germany
  - 9.4.5.3. France
  - 9.4.5.4. Spain
  - 9.4.5.5. Others
9.5. Middle East and Africa
- 9.5.1. By Type
- 9.5.2. By Deployment
- 9.5.3. By Application
- 9.5.4. By Industry-Vertical
- 9.5.5. By Country
  - 9.5.5.1. Saudi Arabia
  - 9.5.5.2. UAE
  - 9.5.5.3. Others
9.6. Asia Pacific
- 9.6.1. By Type
- 9.6.2. By Deployment
- 9.6.3. By Application
- 9.6.4. By Industry-Vertical
- 9.6.5. By Country
  - 9.6.5.1. China
  - 9.6.5.2. Japan
  - 9.6.5.3. South Korea
  - 9.6.5.4. Australia
  - 9.6.5.5. India
  - 9.6.5.6. Indonesia
  - 9.6.5.7. Thailand
  - 9.6.5.8. Others