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Responsible Ai Market - Forecasts from 2025 to 2030

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    Report

  • 142 Pages
  • January 2025
  • Region: Global
  • Knowledge Sourcing Intelligence LLP
  • ID: 6050564
The Responsible AI Market is expected to grow at a CAGR of 17.89%, reaching a market size of US$2.14 billion in 2030 from US$942.165 million in 2025.

Various sectors, including education, finance, healthcare, retail, telecommunications, and banking, are increasingly utilizing artificial intelligence (AI) to facilitate critical business decision-making. In the finance sector, for instance, AI technologies such as machine learning are employed to enhance data analysis, risk management, fraud detection, and customer service. These decisions rely on algorithms that inform stakeholders of potential risks associated with various outcomes. Consequently, there has been a growing emphasis on the responsible deployment of AI systems. Responsible AI encompasses a framework of principles and processes aimed at fostering trust, confidence, and transparency in AI applications. It seeks to integrate ethical considerations into AI technologies to minimize risks and adverse effects while empowering organizations and their stakeholders, including society at large. Responsible AI is built around four core dimensions: privacy and data governance, transparency and explainability, security and safety, and fairness. The increasing regulatory requirements from governments and organizations regarding practices that ensure transparency, fairness, and security are significant drivers of the responsible AI market. The need for mandatory compliance is expected to further stimulate market growth. Additionally, rising ethical concerns surrounding AI systems - such as political biases during elections, privacy issues, and data misuse - will also contribute to market expansion. Moreover, advancements in responsible AI technology will enhance market demand as incidents related to AI continue to rise; for example, the AI incident database reported 123 incidents in 2023, marking a 32.35% increase from the previous year.

Key Drivers of the Responsible AI Market

  • Increasing Regulatory Compliance: Governments and organizations are progressively establishing guidelines for the responsible use of artificial intelligence in critical business decisions. Heightened ethical concerns regarding AI usage are prompting regulations aimed at implementing responsible AI systems across industries such as healthcare and finance. This trend towards regulatory compliance will be a crucial factor driving the responsible AI market.
For instance, the National Association of Insurance Commissioners has issued a bulletin urging insurers to focus on governance frameworks, risk management protocols, and testing methodologies within their AI systems. The California Consumer Privacy Act mandates responsible handling of personal information by organizations. Additionally, the U.K. government's March 2023 paper on "A pro-innovation approach to AI regulation" marks a significant step toward responsible AI practices. The EU AI Act of August 2024 categorizes AI applications into risk tiers with corresponding legal obligations and substantial penalties for misuse. According to Stanford University's "Artificial Intelligence Index Report 2024," the number of AI-related regulations in the U.S. has surged significantly over the past year and five years overall; in 2023 alone, there were 25 regulations compared to just one in 2016. Thus, growing regulatory pressure from governments to implement responsible AI practices is driving significant market growth.

Geographical Outlook

North America is projected to dominate the responsible AI market during the forecast period. The United States will play a pivotal role in this market's growth due to its continuous adoption of AI and IoT technologies. Strict regulations promoting transparency and accountability in decision-making further support this market's expansion. Data from Stanford University indicates that the U.S. leads other regions - including China, the EU, and the U.K. - in producing top-tier AI models; in 2023 alone, 61 notable models originated from U.S.-based institutions compared to 21 from the European Union and 15 from China. The European market is also expected to grow significantly due to increasing adoption of AI technologies alongside regulatory requirements like GDPR that drive demand for responsible AI solutions. Meanwhile, the Asia Pacific region is anticipated to witness growth during the forecast period as countries such as China, Japan, South Korea, and India adopt more AI technologies while addressing ethical concerns related to their use - further fueling demand for responsible AI practices.

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 Responsible AI Market has been segmented as following:

  • By Component
    • Software Tools & Platforms
    • Services
  • By Deployment
    • On-Premises
    • Cloud
  • By End-User
    • Healthcare
    • BFSI
    • Government and Public Sector
    • Automotive Industry
    • 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
      • India
      • Others

Table of Contents

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. RESPONSIBLE AI MARKET BY COMPONENTS
5.1. Introduction
5.2. Software Tools and Platforms
5.3. Services
6. RESPONSIBLE AI MARKET BY DEPLOYMENT
6.1. Introduction
6.2. On-Premises
6.3. Cloud
7. RESPONSIBLE AI MARKET BY END-USER
7.1. Introduction
7.2. Healthcare
7.3. BFSI
7.4. Government and Public Sector
7.5. Automotive Industry
7.6. IT and Telecommunication
7.7. Others
8. RESPONSIBLE AI MARKET BY GEOGRAPHY
8.1. Introduction
8.2. North America
8.2.1. By Component
8.2.2. By Deployment
8.2.3. By End-User
8.2.4. By Country
8.2.4.1. USA
8.2.4.2. Canada
8.2.4.3. Mexico
8.3. South America
8.3.1. By Component
8.3.2. By Deployment
8.3.3. By End-User
8.3.4. By Country
8.3.4.1. Brazil
8.3.4.2. Argentina
8.3.4.3. Others
8.4. Europe
8.4.1. By Component
8.4.2. By Deployment
8.4.3. By End-User
8.4.4. By Country
8.4.4.1. United Kingdom
8.4.4.2. Germany
8.4.4.3. France
8.4.4.4. Spain
8.4.4.5. Others
8.5. Middle East and Africa
8.5.1. By Component
8.5.2. By Deployment
8.5.3. By End-User
8.5.4. By Country
8.5.4.1. Saudi Arabia
8.5.4.2. UAE
8.5.4.3. Others
8.6. Asia Pacific
8.6.1. By Component
8.6.2. By Deployment
8.6.3. By End-User
8.6.4. By Country
8.6.4.1. China
8.6.4.2. Japan
8.6.4.3. South Korea
8.6.4.4. India
8.6.4.5. Others
9. COMPETITIVE ENVIRONMENT AND ANALYSIS
9.1. Major Players and Strategy Analysis
9.2. Market Share Analysis
9.3. Mergers, Acquisitions, Agreements, and Collaborations
9.4. Competitive Dashboard
10. COMPANY PROFILES
10.1. Accenture
10.2. Amazon Web Services
10.3. IBM
10.4. Alphabet Inc.
10.5. Microsoft
10.6. Intel Corporation
10.7. SAS Institute Inc.
10.8. C3 AI
10.9. FICO
10.10. H2o.ai

Companies Mentioned

  • Accenture
  • Amazon Web Services
  • IBM
  • Alphabet Inc.
  • Microsoft
  • Intel Corporation
  • SAS Institute Inc.
  • C3 AI
  • FICO
  • H2o.ai

Methodology

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Table Information