Picture
SEARCH
What are you looking for?
Need help finding what you are looking for? Contact Us
Compare

PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1543738

Cover Image

PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1543738

Global AI Orchestration Market Size study, by Component, by Deployment Mode, by Application, by Organization Size, by Industry Vertical and Regional Forecasts 2024-2032

PUBLISHED:
PAGES: 285 Pages
DELIVERY TIME: 2-3 business days
SELECT AN OPTION
Unprintable PDF (Single User License)
USD 4950
Printable PDF (Enterprise License)
USD 6250

Add to Cart

Global AI Orchestration Market is valued at approximately USD 7.68 billion in 2023 and is anticipated to grow with a healthy growth rate of more than 22.5% over the forecast period 2024-2032. An AI orchestration solution helps enterprises operationalize artificial intelligence (AI), enabling scalability and growth. Enabling technologies such as machine learning and AI assist with data preparation, model building and deployment, insight generation, and insight explanation, augmenting how enterprises explore and analyze data. Furthermore, AI orchestration accesses an automated machine learning environment that redefines enterprise AI by automating every step of the data life cycle, including auto model building using simple workflows. This allows the building and management of AI models in minutes without writing a single line of code, democratizing AI across the organization and ensuring transparency and interpretability through explainable AI capabilities.

Moreover, AI orchestration helps visualize, analyze, and consume complex enterprise data. It auto-visualizes data and automatically uncovers hidden and crucial insights, creating charts, dashboards, and reports to understand and share business insights. It derives deep insights from real-time streaming data, improving productivity and reducing infrastructure management time, enhancing innovation and growth across businesses through AI-driven decision analytics. Additionally, AI orchestration offers multiple benefits, including enabling IT teams to automate tasks across multiple platforms from a single point and providing centralized monitoring and management over all IT servers, applications, and workflows. This centralized coordination among IT servers and applications enables easier and faster integration of new tools and systems into the existing infrastructure. Moreover, the lack of skilled professionals and high initial investment costs present various lucrative opportunities over the forecast years. However, the expansion in emerging markets, integration of AI with advanced technologies like 5G, as well as increasing demand for responsible AI solutions are challenging the market growth throughout the forecast period of 2024-2032.

The key regions considered for the Global AI Orchestration Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America is a dominating region in the Global AI Orchestration Market in terms of revenue. The market growth in the region is being attributed to factors including the high concentration of artificial intelligence and cloud-based solution vendors in the region, providing lucrative growth opportunities for the AI orchestration market. Whereas, the market in Asia Pacific is anticipated to grow at the fastest rate over the forecast period fueled by rapid digital transformation trends that are expected to increase the scope for the AI orchestration industry in this region.

Major market players included in this report are:

  • IBM Corporation
  • Oracle Corporation
  • Fujitsu Limited
  • BMC Software, Inc.
  • Wipro Limited
  • Capgemini Services SAS
  • TIBCO Software Inc.
  • General Electric Company
  • Cisco Systems, Inc.
  • Hewlett Packard Enterprise Company
  • Accenture plc
  • Cognizant Technology Solutions Corporation
  • Infosys Limited
  • Amazon Web Services, Inc.
  • Microsoft Corporation

The detailed segments and sub-segment of the market are explained below:

By Component:

  • Solution
  • Services

By Deployment Mode:

  • On-Premise
  • Cloud

By Application:

  • Customer Service Orchestration
  • Infrastructure Orchestration
  • Manufacturing Orchestration
  • Workflow Orchestration
  • Others

By Organization Size:

  • Large Enterprises
  • Small and Medium-sized Enterprises

By Industry Vertical:

  • IT and Telecommunications
  • Manufacturing
  • Healthcare
  • BFSI
  • Consumer Goods and Retail
  • Government and Defense
  • Energy and Utilities
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global AI Orchestration Market Executive Summary

  • 1.1. Global AI Orchestration Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Component
    • 1.3.2. By Deployment Mode
    • 1.3.3. By Application
    • 1.3.4. By Organization Size
    • 1.3.5. By Industry Vertical
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global AI Orchestration Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory Frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global AI Orchestration Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Rising adoption of AI orchestration solutions
    • 3.1.2. Technological advancements in AI and machine learning
    • 3.1.3. Increasing investment in AI technologies
  • 3.2. Market Challenges
    • 3.2.1. Lack of skilled professionals
    • 3.2.2. High initial investment costs
  • 3.3. Market Opportunities
    • 3.3.1. Expansion in emerging markets
    • 3.3.2. Integration of AI with advanced technologies like 5G
    • 3.3.3. Increasing demand for responsible AI solutions

Chapter 4. Global AI Orchestration Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top Investment Opportunities
  • 4.4. Top Winning Strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global AI Orchestration Market Size & Forecasts by Component 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global AI Orchestration Market: Component Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. Solution
    • 5.2.2. Services

Chapter 6. Global AI Orchestration Market Size & Forecasts by Deployment Mode 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global AI Orchestration Market: Deployment Mode Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. On-Premise
    • 6.2.2. Cloud

Chapter 7. Global AI Orchestration Market Size & Forecasts by Application 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global AI Orchestration Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 7.2.1. Customer Service Orchestration
    • 7.2.2. Infrastructure Orchestration
    • 7.2.3. Manufacturing Orchestration
    • 7.2.4. Workflow Orchestration
    • 7.2.5. Others

Chapter 8. Global AI Orchestration Market Size & Forecasts by Organization Size 2022-2032

  • 8.1. Segment Dashboard
  • 8.2. Global AI Orchestration Market: Organization Size Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 8.2.1. Large Enterprises
    • 8.2.2. Small and Medium-sized Enterprises

Chapter 9. Global AI Orchestration Market Size & Forecasts by Industry Vertical 2022-2032

  • 9.1. Segment Dashboard
  • 9.2. Global AI Orchestration Market: Industry Vertical Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 9.2.1. IT and Telecommunications
    • 9.2.2. Manufacturing
    • 9.2.3. Healthcare
    • 9.2.4. BFSI
    • 9.2.5. Consumer Goods and Retail
    • 9.2.6. Government and Defense
    • 9.2.7. Energy and Utilities
    • 9.2.8. Others

Chapter 10. Global AI Orchestration Market Size & Forecasts by Region 2022-2032

  • 10.1. North America AI Orchestration Market
    • 10.1.1. U.S. AI Orchestration Market
      • 10.1.1.1. Component breakdown size & forecasts, 2022-2032
      • 10.1.1.2. Deployment Mode breakdown size & forecasts, 2022-2032
      • 10.1.1.2. Application Mode breakdown size & forecasts, 2022-2032
      • 10.1.1.2. Organization Size Mode breakdown size & forecasts, 2022-2032
      • 10.1.1.2. Industry Vertical Mode breakdown size & forecasts, 2022-2032
    • 10.1.2. Canada AI Orchestration Market
  • 10.2. Europe AI Orchestration Market
    • 10.2.1. U.K. AI Orchestration Market
    • 10.2.2. Germany AI Orchestration Market
    • 10.2.3. France AI Orchestration Market
    • 10.2.4. Spain AI Orchestration Market
    • 10.2.5. Italy AI Orchestration Market
    • 10.2.6. Rest of Europe AI Orchestration Market
  • 10.3. Asia-Pacific AI Orchestration Market
    • 10.3.1. China AI Orchestration Market
    • 10.3.2. India AI Orchestration Market
    • 10.3.3. Japan AI Orchestration Market
    • 10.3.4. Australia AI Orchestration Market
    • 10.3.5. South Korea AI Orchestration Market
    • 10.3.6. Rest of Asia Pacific AI Orchestration Market
  • 10.4. Latin America AI Orchestration Market
    • 10.4.1. Brazil AI Orchestration Market
    • 10.4.2. Mexico AI Orchestration Market
    • 10.4.3. Rest of Latin America AI Orchestration Market
  • 10.5. Middle East & Africa AI Orchestration Market
    • 10.5.1. Saudi Arabia AI Orchestration Market
    • 10.5.2. South Africa AI Orchestration Market
    • 10.5.3. Rest of Middle East & Africa AI Orchestration Market

Chapter 11. Competitive Intelligence

  • 11.1. Key Company SWOT Analysis
  • 11.2. Top Market Strategies
  • 11.3. Company Profiles
    • 11.3.1. IBM Corporation
      • 11.3.1.1. Key Information
      • 11.3.1.2. Overview
      • 11.3.1.3. Financial (Subject to Data Availability)
      • 11.3.1.4. Product Summary
      • 11.3.1.5. Market Strategies
    • 11.3.2. Oracle Corporation
    • 11.3.3. Fujitsu Limited
    • 11.3.4. BMC Software, Inc.
    • 11.3.5. Wipro Limited
    • 11.3.6. Capgemini Services SAS
    • 11.3.7. TIBCO Software Inc.
    • 11.3.8. General Electric Company
    • 11.3.9. Cisco Systems, Inc.
    • 11.3.10. Hewlett Packard Enterprise Company
    • 11.3.11. Accenture plc
    • 11.3.12. Cognizant Technology Solutions Corporation
    • 11.3.13. Infosys Limited
    • 11.3.14. Amazon Web Services, Inc.
    • 11.3.15. Microsoft Corporation

Chapter 12. Research Process

  • 12.1. Research Process
    • 12.1.1. Data Mining
    • 12.1.2. Analysis
    • 12.1.3. Market Estimation
    • 12.1.4. Validation
    • 12.1.5. Publishing
  • 12.2. Research Attributes
Have a question?
Picture

Jeroen Van Heghe

Manager - EMEA

+32-2-535-7543

Picture

Christine Sirois

Manager - Americas

+1-860-674-8796

Questions? Please give us a call or visit the contact form.
Hi, how can we help?
Contact us!