Artificial Intelligence (AI) Governance Market to reach the value of USD 25,857.41 million by 2029, at a CAGR of 61.30%, Trends
The market analysis furnishes insights into the drivers and restraints affecting the Artificial Intelligence (AI) GovernanceMarket employing SWOT analysis to delineate their impact on demand throughout the forecast period. Drawing inspiration from the marketing strategies of competitors, businesses can formulate innovative ideas and ambitious sales targets, thereby gaining a competitive edge. This professional and in-depth study on the current market state is designed to provide granular information, empowering clients to makhe efficient business decisions. Therefore, the Artificial Intelligence (AI) GovernanceMarket report aims to offer clients the necessary detailed information to facilitate informed decision-making.
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 6 1.30% 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.
Top Industry Players:
Some of the major players operating in the artificial
intelligence (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.)
View
detailed Report : https://www.databridgemarketresearch.com/reports/global-ai-governance-market
Market
Segmentation:
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
The Artificial Intelligence (AI) GovernanceMarket
survey report encapsulates the fluctuations in CAGR values, indicating rises or
falls within the specified forecast period. The data utilized for crafting this
business report is derived from data collection modules featuring large sample
sizes. This market report's crucial highlights encompass key market dynamics,
the present market scenario, and the sector's future prospects. Furthermore,
the report meticulously identifies and analyses rising product trends, major
drivers, challenges, and opportunities in the market. Through the application
of well-established tools and techniques, the Artificial Intelligence (AI)
GovernanceMarket report adeptly transforms complex market insights into a more
accessible and comprehensible version.
Strategic Points from Table of Content:
Chapter 1: Global Artificial Intelligence (AI)
GovernanceMarket Overview
Chapter 2: Economic Impact on Industry
Chapter 3: Market Competition by Manufacturers
Chapter 4: Production, Revenue (Value) by Region
Chapter 5: Supply (Production), Consumption,
Export, Import by Regions
Chapter 6: Production, Revenue (Value), Price Trend
by Type
Chapter 7: Market Analysis by Application
Chapter 8: Manufacturing Cost Analysis
Chapter 9: Industrial Chain, Sourcing Strategy and
Downstream Buyers
Chapter 10: Marketing Strategy Analysis,
Distributors/Traders
Chapter 11: Market Effect Factors Analysis
Chapter 12: Research Conclusions of Global Artificial
Intelligence (AI) GovernanceMarket
Grab
Detailed TOC Report: https://www.databridgemarketresearch.com/toc/?dbmr=global-ai-governance-market
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