글로벌 인공지능(AI) 거버넌스 시장 – 2029년까지의 산업 동향 및 예측

인공지능(AI) 거버넌스 시장 분석 및 규모

다양한 산업에서 AI 거버넌스를 사용하여 실시간 오퍼 관리, 자동화된 체크아웃 시스템, 개선된 행동 분석과 같은 온라인 및 오프라인 기능을 개발할 수 있습니다. 데이터 과학 애플리케이션에서 AI 거버넌스에 대한 수요도 데이터 거버넌스, 프로세스 최적화, 교육 및 기타 분야에서 사용되면서 최근 몇 년 동안 상당히 증가했습니다.

Data Bridge Market Research는 2021년에 5억 6,430만 달러의 가치를 가진 인공 지능(AI) 거버넌스 시장이 2029년까지 25,857.41백만 달러의 가치에 도달할 것으로 예상하고 있으며, 2022-2029년 예측 기간 동안 61.30%의 CAGR을 기록할 것으로 분석했습니다. Data Bridge Market Research 팀이 큐레이팅한 시장 보고서에는 심층적인 전문가 분석, 수입/수출 분석, 가격 분석, 생산 소비 분석 및 페슬 분석이 포함되어 있습니다.

보고 범위 및 시장 세분화

Market Definition

Artificial intelligence (AI) governance is the idea that a legal framework should be in place to ensure that machine learning (ML) techniques are thoroughly researched and developed in order for mankind to operate in a reasonable manner through the use of AI systems. Artificial intelligence (AI) governance seeks to bridge the gap between technological advancement and accountability by addressing issues such as notification rights and potential violations.

Global Artificial Intelligence (AI) Governance Market Dynamics

Drivers

• The growing need for transparency and trust building in AI technologies

The increasing need for building trust in AI systems and rising demand for transparency in AI decisions around the world is driving the AI Governance market. AI governance vendors are more focused on advancements in AI, cloud solutions and services by incorporating machine learning algorithms and deep learning frameworks. Such major factors are propelling the AI governance market forward. The AI governance market is expanding due to the continuous development and implementation of AI governance solutions to identify the most effective way to achieve business goals.

• Easy access to historical datasets and convenience of data storage

The availability of historical datasets is a critical factor driving the rate of AI innovation. Now that data storage and recovery are more affordable, healthcare institutions and government agencies are producing unstructured data that is accessible to the research domain. Large datasets ranging from historical rainfall trends to clinical imaging are now available to researchers. Next-generation computing architectures enable information scientists and researchers to innovate more quickly by providing access to large datasets. Furthermore, advances in deep learning and ANN (Artificial Neural Networks) have accelerated AI adoption across a wide range of industries, including aerospace, healthcare, manufacturing, and automotive.

Opportunity

Increased compliance with technology regulations will boost market growth. Furthermore, the use of artificial intelligence to reduce gender bias and discrimination will increase the beneficial opportunities for the growth of the artificial intelligence (AI) governance market.

Restraints

However, the establishment of comprehensive ethical principles for artificial intelligence and the high cost of investment will impede the growth of the artificial intelligence (AI) governance market. In addition, a lack of artificial intelligence expertise and skills will impede the growth of the artificial intelligence (AI) governance market.

This artificial intelligence (AI) governance market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the artificial intelligence (AI) governance market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

COVID-19 Impact on Artificial Intelligence (AI) Governance Market

Remote working presents productivity challenges as well as new security risks during the COVID-19 crisis. To combat and anticipate the new COVID-19 crises, various industries such as healthcare, automotive, and others require the assistance of advanced technologies such as Internet of Things (IoT), Artificial Intelligence (AI), Big Data, and Analytics. Healthcare sectors desperately need decision-making technologies to handle the COVID-19 virus and provide appropriate recommendations in real-time to prevent its spread. AI is one such technology that can easily track the spread of the COVID-19 virus, identify high-risk patients, and aid in real-time infection control. As a result, the AI governance market is expected to grow 2.5X from 2019 to 2020, with a surge in demand during the COVID-19 outbreak, as increasing adoption in the healthcare industry becomes the new norm. Furthermore, the overall AI governance market is expected to grow at a rapid pace beginning in Q1 2021.

Recent Development

• In February 2022, Meta AI (formerly Facebook AI) announced that it had open-sourced data2vec, a unified framework for self-supervised deep learning on text, images, and speech audio data.
• In February 2022, Virtana, a California-based technology company, announced that it had developed a hybrid cloud management solutions platform that would allow its customers to plan, execute, and manage their hybrid cloud implementations. In addition, the company stated that it used a combination of AI, machine learning, and data analytics to provide observability for managing app workloads across public, private, hybrid, and multi-cloud environments.

Global Artificial Intelligence (AI) Governance Market Scope

The artificial intelligence (AI) governance market is segmented on the basis of component, technology, function, deployment type and vertical. The growth amongst these segments will help you analyse meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Component  

• Solution
• Platform
• Software tools
• Services
• Consulting
• Integration
• Support and maintenance

Technology

• Computer Vision
• Machine Learning
• Natural Language Processing
• Others

Function  

• Training
• Inference

Deployment type

• On-Premises
• Cloud
• Hybrid

Vertical

• BFSI
• Healthcare and Life Sciences
• Government and Defence
• Media and Entertainment
• Telecom
• Retail
• Automotive
• Others

Artificial Intelligence (AI) Governance Market Regional Analysis/Insights

The artificial intelligence (AI) governance market is analysed and market size insights and trends are provided by country, component, technology, function, deployment type and vertical as referenced above.

The countries covered in the artificial intelligence (AI) governance market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

Europe is expected to grow at the fastest rate during the forecast period due to the various developments occurring in the European region as a result of AI governance. The region's adoption of AI-powered services is expected to grow as a result of the growing ethical issues surrounding AI technology and the growing need to create a legal framework to ensure that the ML algorithm is developed for the good of humanity.

The country section of the report also provides individual market impacting factors and changes in market regulation that impact the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of Global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.   

Competitive Landscape and Artificial Intelligence (AI) Governance Market Share Analysis

The artificial intelligence (AI) governance market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, Global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to artificial intelligence (AI) governance market.

인공지능(AI) 거버넌스 시장에서 활동하는 주요 기업은 다음과 같습니다.

• IBM 주식회사(미국)
• 마이크로소프트(미국)
• 지멘스 AG(독일)
• ANSYS, Inc (미국)
• SAP SE(독일)
• 오라클(미국)
• 로버트 보쉬 GmbH (독일)
• Swim.ai, Inc. (미국)
• Atos SE(프랑스)
• ABB(스위스)
• KELLTON TECH(인도)
• AVEVA 그룹 plc (영국)
• DXC Technology Company (미국)
• 알테어 엔지니어링 주식회사(미국)
• Hexaware Technologies Limited(인도)
• Tata Consultancy Services Limited(인도)
• 인포시스 리미티드(벵갈루루)
• NTT DATA, Inc. (일본)
• TIBCO 소프트웨어 주식회사(미국)

SKU-47952