Press release
AI Governance Market : Global Industry Growth Factors, Trends, Demand Status And Forecast To 2031 | Facebook, Inc. (Meta Platforms Inc), IBM Corporation
AI governance encompasses the development and implementation of ethical, transparent and fair principles and processes to enable the development and application of AI technologies. It ensures AI systems do not harm humanity or violate ethical standards.Market Dynamics:
AI governance is gaining adoption due to increasing implementation of AI across industries. Many organizations are implementing AI to automate business processes and gain insights from data to improve decision making. However, AI systems can exhibit unsafe or undesirable behavior if not developed and applied responsibly. This is driving the need for AI governance frameworks to guide the development, deployment and use of AI in a way that is transparent, fair and accountable. Furthermore, government regulations around use of AI are expected to become stricter in coming years to protect data privacy and prevent any misuse of AI. This will further fuel adoption of AI governance solutions to ensure compliance.
The global AI governance market size was valued at USD 131.9 million in 2022 and is anticipated to witness a compound annual growth rate (CAGR) of 46.60% from 2022 to 2030.
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AI Governance Market Drivers
Increasing Adoption of AI Across Industries is Driving the Growth of AI Governance Market
Artificial intelligence is being adopted across various industries such as healthcare, manufacturing, retail and other sectors. For example, AI is being used for applications such as predictive maintenance in manufacturing, fraud detection in banking, personalized recommendations, autonomous vehicles and many more. As the adoption of AI increases, the need to ensure AI systems are developed and used responsibly and for the benefit of humanity is also rising. This is propelling the demand for AI governance solutions to help organizations mitigate the risks associated with AI and build public trust.
Emergence of New AI Regulations and Guidelines is Fueling the AI Governance Market
With increasing concerns around the societal and ethical implications of advanced AI, many countries and organizations are coming up with new regulations and guidelines related to AI development and deployment. For instance, European Union's Artificial Intelligence Act aims to regulate high risk AI applications. Similarly, organizations like OECD and ISO have published guidelines for trustworthy and responsible AI. Compliance with such regulations is becoming crucial for AI vendors as well as enterprises adopting AI. This compliance need is acting as a key growth driver for the AI governance market.
AI Governance Market Restrain
Lack of Standards and Common Framework Hinders the Growth of AI Governance Market
While there is a consensus that AI governance is important, there is no universally agreed definition of governance or common standards and frameworks. Different stakeholders propose different approaches for issues like algorithmic transparency, explainability, safety, fairness and accountability. This lack of alignment creates challenges for organizations to establish robust and effective governance programs. It also makes it difficult for governance solution providers to build offerings that cater to the diverse needs of customers. Absence of common standards poses a significant restrain to the faster growth of the AI governance market.
Major Key Players:
Facebook, Inc. (Meta Platforms Inc), IBM Corporation, Integrate.ai Inc., Google LLC (Alphabet Inc.), H2O.ai, Inc., SAP SE, SAS Institute Inc., Microsoft Corporation, Pymetrics Inc., FICO Inc., and Salesforce.com, Inc.
Detailed Segmentation:
Global AI Governance Market, By Component
Solution
Services
Global AI Governance Market, By Deployment
On - Premise
Cloud
Global AI Governance Market, By End-User Vertical
Healthcare
Government and Defense
Automotive
Retail
BFSI
Other End-User Verticals
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AI Governance Market Opportunity
Growing Investments in Ethics in AI Startups Presents Lucrative Opportunities
With increasing recognition of the importance of ethics in AI, venture capital funding in startups working on AI ethics, governance, and policy space is on the rise. In 2021, over US$ 6 billion were invested in AI safety startups. Many big tech companies are also investing in internal teams to develop responsible AI practices. This focus on ethics demonstrates that AI governance issues are becoming a priority. It also highlights the business opportunities in this domain for both startups as well as established governance solution providers. The increased R&D and investments present a large market opportunity for AI governance vendors.
AI Governance Market Trends
Evolution from Compliance-Driven to Risk and Trust-Driven Approaches
While initial governance programs of organizations tended to focus on compliance with regulations, the trends suggest a shift towards risk-aware and trust-driven approaches. Companies are realizing just ensuring legal or ethical checklist is not sufficient but proactively mitigating risks and building trust with stakeholders is crucial for long term success and sustainability of AI projects. This evolution of approaches from just compliance to integrated risk and trust models is an important trend that will significantly influence the governing practices and solution offerings in the coming years. Vendors will need to adapt to these changing needs and priorities of customers.
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𝗙𝗔𝗤'𝗦:
What is the projected size of the AI Governance Market by 2031?
Which major countries will experience the greatest impact from the AI Governance Market?
Which regional market in the AI Governance Market is the largest?
Which leading companies dominate the majority of the AI Governance Market?
Which geographic market within the AI Governance Market industry is expected to exhibit the most significant growth potential?
What are the primary drivers of the AI Governance Market?
What are the current trends and future predictions for the global AI Governance Market industry?
What are the key strategies employed in the AI Governance Market?
What are the main growth prospects for the AI Governance Market?
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