This Artificial Intelligence (AI) Governance Market  report has been prepared by considering several fragments of the present and upcoming market scenario. The market insights gained through this market research analysis report facilitates more clear understanding of the market landscape, issues that may interrupt in the future, and ways to position definite brand excellently. It consists of most-detailed market segmentation, thorough analysis of major market players, trends in consumer and supply chain dynamics, and insights about new geographical markets. The market insights covered in Electric Enclosure  report simplifies managing marketing of goods and services effectively.

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.

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Market Overview:

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.

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.)

 

 

 

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

 

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Table of Content:

Part 01: Executive Summary

Part 02: Scope of the Report

Part 03: Global Artificial Intelligence (AI) Governance Market

Part 04: Global Artificial Intelligence (AI) Governance Market Sizing

Part 05: Global Artificial Intelligence (AI) Governance Market Segmentation By Product

Part 06: Five Forces Analysis

Part 07: Customer Landscape

Part 08: Geographic Landscape

Part 09: Decision Framework

Part 10: Drivers and Challenges

Part 11: Market Trends

Part 12: Vendor Landscape

Part 13: Vendor Analysis

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