Data Bridge Market Research has unveiled a new report called "AI Governance Market" which provides an in-depth exploration of growth strategies, drivers, opportunities, key segments, Porter's Five Forces analysis, and the competitive landscape. AI Governance market report, a section for the competitive landscape of the key players operating in the global market has also been covered. Moreover, the industry report lists and studies the leading competitors, also provides the insights with strategic industry analysis of the key factors influencing the market dynamics. This report provides granular analysis of the market share, segmentation, revenue forecasts and geographic regions of the market. The key findings and recommendations of the reliable AI Governance market report emphasizes crucial progressive industry trends in the global market, thereby allowing market players across the value chain to develop effective long-term strategies.
Various industries can use AI governance to develop online and offline capabilities such as real-time offer management, automated checkout systems, and improved behaviour analytics. The demand for AI governance from data science applications has also increased significantly in recent years, owing to its use in data governance, process optimization, training, and other areas.
Data Bridge Market Research analyses that the artificial intelligence (AI) governance market which was growing at a value of 564.3 million in 2021 and is expected to reach the value of USD 25,857.41 million by 2029, at a CAGR of 61.30% during the forecast period of 2022-2029. The market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.
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AI Governance market report focuses on market taxonomy, regional analysis, opportunity assessment, and vendor analysis to help with comprehensive evaluation of the global market. For making the research report exhaustive, Porter’s five forces analysis and SWOT analysis have been used effectively. This report underlines the vital modification of the market dynamics and comprehensive analysis of the parent market. The high quality AI Governance report also covers geographical markets and key players that have adopted significant strategies for business developments. Significantly, the report digs deep into decisive aspects of the competitive landscape and future changes in market competition.
Product 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.
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.
Some of the major players operating AI Governance market are
- IBM Corporation (U.S.)
- Microsoft (U.S.)
- Siemens AG (Germany)
- ANSYS, Inc (U.S.)
- SAP SE (Germany)
- Oracle (U.S.)
- Robert Bosch GmbH (Germany)
- Swim.ai, Inc. (U.S.)
- Atos S.E. (France)
- ABB (Switzerland)
- KELLTON TECH (India)
- AVEVA Group plc (U.K.)
- DXC Technology Company (U.S.)
- Altair Engineering, Inc (U.S.)
- Hexaware Technologies Limited (India)
- Tata Consultancy Services Limited (India)
- Infosys Limited (Bengaluru)
- NTT DATA, Inc. (Japan)
- TIBCO Software Inc. (U.S.)
Key Market Segments Covered in AI Governance Market Industry Research
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.
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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.
How does this AI Governance Market Insights Help?
- AI Governance Market share (regional, product, application, end-user) both in terms of volume and revenue along with CAGR
- The Key parameters which are driving this market and restraining its growth
- What all challenges manufacturers will face as well as new opportunities and threats faced by them
- To learn about the market strategies that are being adopted by your competitors and leading organizations
- To Increase insightful analyses of the market and have a comprehensive understanding of the “AI Governance Market” and its commercial landscape
TABLE OF CONTENTS
- Part 01: Executive Summary
- Part 02: Scope of The Report
- Part 03: Research Methodology
- Part 04: Market Landscape
- Part 05: Pipeline Analysis
- Part 06: Market Sizing
- Part 07: Five Forces Analysis
- Part 08: Market Segmentation
- Part 09: Customer Landscape
- Part 10: Regional Landscape
- Part 11: Decision Framework
- Part 12: Drivers and Challenges
- Part 13: Market Trends
- Part 14: Vendor Landscape
- Part 15: Vendor Analysis
- Part 16: Appendix
For Detailed TOC | Follow @ https://www.databridgemarketresearch.com/toc/?dbmr=global-ai-governance-market
Queries Resolved In This Report:
- Which will be the specialties at which AI Governance Market players profiling with intensive designs, financials, and furthermore, ongoing headways should set nearness?
- Which will be the foreseen development rates for your own AI Governance economy out and out and furthermore for each portion inside?
- Which will be the AI Governance application and sorts and estimate joined intently by makers?
- Which will be the dangers which will attack growth?
- The length of the AI Governance market opportunity?
- How AI Governance Market share advance vacillations their value from various assembling brands?
WHO SHOULD BUY THE AI Governance REPORT?
People looking to enrich the decision-making capability by following points must buy the report:
- Breakdown of market share of the top AI Governance industry players
- Evaluations of market share for the regional and country level sectors
- Estimation of AI Governance market for the forecast period of all the aforementioned classes, sub classes, and the domestic markets
- Tactical recommendation for the newbies
- Tactical recommendation in primary business industries based on the AI Governance market forecast
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