Market Definition
AI Governance is a term that refers to the set of policies, processes, and decision rights that guide and constrain the development and use of artificial intelligence (AI) systems. The goal of AI governance is to ensure that AI technologies are developed and used in ways that are ethically sound, socially responsible, and legally compliant.
AI governance encompasses a wide range of issues, including data privacy, algorithmic bias, and the use of AI for surveillance and other controversial purposes. Because AI technologies are evolving rapidly, and because they have the potential to impact society in profound ways, AI governance is a complex and evolving field.
Market Outlook
There are a number of key trends in AI Governance technology. One is the increasing use of AI to automate decision-making. This includes the use of AI to automate the assessment of risk and to make recommendations about how to mitigate risk. Another trend is the use of AI to monitor and regulate AI systems. This includes the use of AI to detect and respond to bias in AI systems. Finally, there is an increasing trend towards the use of AI to help humans make better decisions. This includes the use of AI to provide decision support and to improve the usability of decision-making tools.
The key drivers of the AI Governance market are transparency, accountability, privacy, security, and trustworthiness.
Accountability: The need for accountability in AI governance is driven by the potential for harm that can be caused by AI systems. AI systems can make decisions that have a negative impact on people or the environment. accountability can help to ensure that AI systems are used responsibly and that those who are responsible for them are held accountable for any harm that they cause.
Privacy: The need for privacy in AI governance is driven by the fact that AI systems often have access to large amounts of data. This data can include personal information about individuals, which can be used to identify them or to make decisions about them. Privacy concerns can also arise from the use of data for training and testing AI systems.
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Research Objectives
• Estimates and forecast the overall market size for the total market, across product, service type, type, end-user, and region
• Detailed information and key takeaways on qualitative and quantitative trends, dynamics, business framework, competitive landscape, and company profiling
• Identify factors influencing market growth and challenges, opportunities, drivers and restraints
• Identify factors that could limit company participation in identified international markets to help properly calibrate market share expectations and growth rates
• Trace and evaluate key development strategies like acquisitions, product launches, mergers, collaborations, business expansions, agreements, partnerships, and R&D activities
• Thoroughly analyze smaller market segments strategically, focusing on their potential, individual patterns of growth, and impact on the overall market
• To thoroughly outline the competitive landscape within the market, including an assessment of business and corporate strategies, aimed at monitoring and dissecting competitive advancements.
• Identify the primary market participants, based on their business objectives, regional footprint, product offerings, and strategic initiatives
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Market Segmentation
The AI governance market report is bifurcated on the basis of component, deployment mode, organization size, industry vertical, and region. On the basis of component, it is segmented into solutions and services. Based on deployment mode, it is analyzed across cloud and on-premises. By organization size, it is categorized into large enterprises and small & medium enterprises. By vertical, it is divided into BFSI, government & defense, healthcare, and others. Region-wise, it is studied across North America, Europe, Asia-Pacific, and rest of the World.
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Major Players
The AI governance market report includes players such as Alphabet Inc., Microsoft, IBM, Amazon Web Services, Inc., SAS Institute Inc., Facebook, Inc., SAP SE, Salesforce.com Inc., Dataiku, and Kyndi, Inc.
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Research Scope
• Scope – Highlights, Trends, Insights. Attractiveness, Forecast
• Market Sizing – Product Type, End User, Offering Type, Technology, Region, Country, Others
• Market Dynamics – Market Segmentation, Demand and Supply, Bargaining Power of Buyers and Sellers, Drivers, Restraints, Opportunities, Threat Analysis, Impact Analysis, Porters 5 Forces, Ansoff Analysis, Supply Chain
• Business Framework – Case Studies, Regulatory Landscape, Pricing, Policies and Regulations, New Product Launches. M&As, Recent Developments
• Competitive Landscape – Market Share Analysis, Market Leaders, Emerging Players, Vendor Benchmarking, Developmental Strategy Benchmarking, PESTLE Analysis, Value Chain Analysis
• Company Profiles – Overview, Business Segments, Business Performance, Product Offering, Key Developmental Strategies, SWOT Analysis
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