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Regional Artificial Intelligence (AI) Governance Market Development, Dynamics and SWOT Analysis 2023-2029

Length- 124 Pages | Published Date - 2023-03-26 | Report Id- 5208
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Description Table of Contents Table of Figures
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence (AI) Governance, with and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence (AI) Governance.

The Artificial Intelligence (AI) Governance market size considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Artificial Intelligence (AI) Governance market comprehensively. Regional market sizes, concerning products by type, by application and by players, are also provided.

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence (AI) Governance manufacturers, new entrants, and industry chain related companies in this market with information for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.

The global Artificial Intelligence (AI) Governance market size in 2022 is 47.75 million US dollars, and it is expected to be 1356.46 million US dollars by 2029, with a compound annual growth rate of 61.30% expected in 2023-2029.

MARKET COMPETITIVE LANDSCAPE:
The main players in the Artificial Intelligence (AI) Governance market include IBM Corporation (U.S.), Microsoft (U.S.), Siemens AG (Germany), ANSYS, Inc (U.S.), and SAP SE (Germany). The share of the top 3 players in the Artificial Intelligence (AI) Governance market is XX%.

REGION SHARE:
The report covers the market size information of North America, Europe, Asia Pacific, Latin America, Middle East and Africa, in which North America accounted for XX%, Europe accounted for XX% of Artificial Intelligence (AI) Governance market, and Asia Pacific accounted for XX%.

SEGMENT OVERVIEW:
The report segments the market by Type and Application. Training accounted for XX% of Artificial Intelligence (AI) Governance market in 2022. Inference share of XX%.
BFSI accounted for XX% of the Artificial Intelligence (AI) Governance market in 2022. Medical and Pharmaceutical and Life Sciences accounts for XX%.

Chapter Outline
Chapter 1: Introduces the product overview, market scope, product classification, application, and regional division, and then includes inflation analysis, the impact of the Russo-Ukrainian war on the market, and the global impact of the coronavirus disease (COVID-19).
Chapter 2: Analyzes the main companies in the Artificial Intelligence (AI) Governance industry, including their main businesses, products/services, sales, prices, revenue, gross margin, and SWOT Analysis.
Chapter 3: Analysis of the competitive environment of Artificial Intelligence (AI) Governance market participants. This mainly includes the revenue, sales, market share, and average price of the top players, along with the players” M&A and expansion in recent years.
Chapters 4-6: Segmented the global Artificial Intelligence (AI) Governance market by type, application and region. Analyze the revenue, sales and price of market segments from different perspectives.
Chapters 7-11: Provide North America, Europe, Asia-Pacific, South America and Middle East & Africa Artificial Intelligence (AI) Governance market country segmentation data and SWOT analysis.
Chapter 12: Analyzes the Artificial Intelligence (AI) Governance industry chain, including marketing channels, distributors and major downstream buyers.
Chapter 13: Analyzes the Artificial Intelligence (AI) Governance manufacturing cost, including raw material analysis, manufacturing cost structure, and industrial chain.
Chapter 14: The main points and conclusions of the report.
Chapter 15: Concludes with an explanation of the data sources and research methods.

Highlights-Regions

North America
United States
Canada
Mexico
Europe
Germany
France
UK
Italy
Russia
Nordic
Asia Pacific
China
Japan
South Korea
India
Southeast Asia
Australia
South America
Brazil
Argentina
MEA
Saudi Arabia
Egypt
Turkey
UAE
South Africa

Player list
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.)

Types list
Training
Inference

Application list
BFSI
Medical and Pharmaceutical and Life Sciences
Government and Defence
Media and Entertainment
Telecom
Retail
Automotive & Transportation
Others

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