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AI Orchestration Market Trends and Forecast

The future of the global AI Orchestration market looks promising with opportunities in the IT & telecommunication, healthcare, BFSI, consumer good & retail, government & defense, and energy & utility markets. The global AI Orchestration market is expected to reach an estimated $22.7 billion by 2030 with a CAGR of 20.4% from 2024 to 2030. The major drivers for this market are increased demand for automating complex IT workflows and processes, growing need for improving operational efficiency and reducing human errors in IT management, and increasing necessity for scalable solutions to manage expanding cloud infrastructures and applications.
• Lucintel forecasts that service is expected to witness higher growth over the forecast period.
• Within this market, IT & telecommunication is expected to witness the highest growth.
• APAC is expected to witness the highest growth over the forecast period.

AI Orchestration Market Trends and Forecast

Country Wise Outlook for the AI Orchestration Market

• United States: IBM announced a new AI orchestration platform aimed at enhancing enterprise automation by integrating AI and cloud computing. The U.S. government has set a target to increase AI adoption across federal agencies by 2025.

• China: Alibaba launched a new AI orchestration service for smart cities, aiming to streamline urban management. The Chinese government is investing heavily in AI infrastructure, targeting leadership in global AI development by 2030.

• Germany: Siemens unveiled an AI orchestration toolkit for manufacturing, enhancing Industry 4.0 initiatives. The German government supports AI research through the "AI Made in Germany" strategy, focusing on ethical AI development and application.

• India: Tata Consultancy Services (TCS) introduced an AI orchestration solution for healthcare to improve patient outcomes. The Indian government has launched the "AI for All" initiative to integrate AI technologies across various sectors by 2025.
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.

AI Orchestration Market by Segment

AI Orchestration Market by Segment

The study includes a forecast for the global AI Orchestration market by type, application, and region.

AI Orchestration Market by Type [Value from 2018 to 2030]:


• Services
• Solution

AI Orchestration Market by Application [Value from 2018 to 2030]:


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

AI Orchestration Market by Region [Value from 2018 to 2030]:


• North America
• Europe
• Asia Pacific
• The Rest of the World

List of AI Orchestration Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies AI Orchestration companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI Orchestration companies profiled in this report include-
• Fujitsu Limited
• Wipro Limited
• Capgemini Services SAS
• General Electric Company
• BMC Software
• Oracle Corporation
• TIBCO Software

Recent Development in the AI Orchestration Market

• IBM: AI Integration with Cloud Pak for Automation: IBM has recently enhanced its Cloud Pak for Automation with advanced AI capabilities. The new updates include more robust orchestration tools that enable enterprises to automate business processes with greater efficiency. By leveraging AI, IBM aims to streamline operations and reduce manual workload, offering a more integrated and intelligent automation solution for complex workflows.

• Microsoft: Azure AI Updates: Microsoft announced significant updates to its Azure AI platform, focusing on improving orchestration capabilities. The enhancements include new AI-driven tools for better resource management and process automation. These updates are designed to help businesses optimize their operations, providing a seamless integration of AI technologies to manage and orchestrate diverse workloads across various cloud environments.

• Google: AI Orchestration in Kubernetes: Google has introduced new AI orchestration features in its Kubernetes engine. These features include AI-based resource allocation and workload management tools that enhance the efficiency of Kubernetes clusters. By incorporating advanced machine learning algorithms, Google aims to provide more intelligent and automated management of containerized applications, ensuring optimal performance and resource utilization.

• Amazon Web Services (AWS): AI-Driven Automation in AWS Orchestrator: AWS has launched new AI-driven automation capabilities within its AWS Orchestrator service. The updates include enhanced machine learning models that predict workload patterns and optimize resource allocation accordingly. AWSÄX%$%Xs initiative is aimed at helping businesses reduce operational costs and improve efficiency by leveraging AI to automate and streamline complex orchestration tasks.

• ServiceNow: AI-Powered IT Operations Management: ServiceNow has expanded its IT Operations Management (ITOM) suite with new AI orchestration features. The updates focus on automating IT workflows and improving incident response times through AI-driven insights and automation. ServiceNowÄX%$%Xs initiative is geared towards enhancing the overall IT service delivery by incorporating AI to intelligently manage and orchestrate IT operations across enterprises.

Features of the Global AI Orchestration Market

Market Size Estimates: AI orchestration market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: AI orchestration market size by type, application, and region in terms of value ($B).
Regional Analysis: AI orchestration market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different type, application, and regions for the AI Orchestration market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI Orchestration market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.

FAQ

Q1. What is the AI Orchestration market size?
Answer: The global AI Orchestration market is expected to reach an estimated $22.7 billion by 2030.
Q2. What is the growth forecast for AI Orchestration market?
Answer: The global AI Orchestration market is expected to grow with a CAGR of 20.4% from 2024 to 2030.
Q3. What are the major drivers influencing the growth of the AI Orchestration market?
Answer: The major drivers for this market are increased demand for automating complex IT workflows and processes, growing need for improving operational efficiency and reducing human errors in IT management, and increasing necessity for scalable solutions to manage expanding cloud infrastructures and applications.
Q4. What are the major segments for AI Orchestration market?
Answer: The future of the global AI Orchestration market looks promising with opportunities in the IT & telecommunication, healthcare, BFSI, consumer good & retail, government & defense, and energy & utility markets.
Q5. Who are the key AI Orchestration market companies?
Answer: Some of the key AI Orchestration companies are as follows:
• Fujitsu Limited
• Wipro Limited
• Capgemini Services SAS
• General Electric Company
• BMC Software
• Oracle Corporation
• TIBCO Software
Q6. Which AI Orchestration market segment will be the largest in future?
Answer: Lucintel forecasts that service is expected to witness higher growth over the forecast period.
Q7. In AI Orchestration market, which region is expected to be the largest in next 5 years?
Answer: APAC is expected to witness the highest growth over the forecast period.
Q8. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

Q.1. What are some of the most promising, high-growth opportunities for the AI Orchestration market by type (services and solution), application (IT & telecommunications, healthcare, BFSI, consumer goods & retail, government & defense, energy &utilities, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

For any questions related to AI Orchestration Market, AI Orchestration Market Size, AI Orchestration Market Growth, AI Orchestration Market Analysis, AI Orchestration Market Report, AI Orchestration Market Share, AI Orchestration Market Trends, AI Orchestration Market Forecast, AI Orchestration Market Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.
Table of Contents

1. Executive Summary
2. Global AI Orchestration Market : Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges 
3. Market Trends and Forecast Analysis from 2018 to 2030
3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
3.2. Global AI Orchestration Market Trends (2018-2023) and Forecast (2024-2030)
3.3: Global AI Orchestration Market by Type
3.3.1: Services
3.3.2: Solution
3.4: Global AI Orchestration Market by Application
3.4.1: IT & Telecommunications
3.4.2: Healthcare
3.4.3: BFSI
3.4.4: Consumer Goods & Retail
3.4.5: Government & Defense
3.4.6: Energy &Utilities
3.4.7: Others
4. Market Trends and Forecast Analysis by Region from 2018 to 2030
4.1: Global AI Orchestration Market by Region
4.2: North American AI Orchestration Market
4.2.1: North American AI Orchestration Market by Type: Services and Solution
4.2.2: North American AI Orchestration Market by Application: IT & Telecommunications, Healthcare, BFSI, Consumer Goods & Retail, Government & Defense, Energy &Utilities, and Others
4.3: European AI Orchestration Market
4.3.1: European AI Orchestration Market by Type: Services and Solution
4.3.2: European AI Orchestration Market by Application: IT & Telecommunications, Healthcare, BFSI, Consumer Goods & Retail, Government & Defense, Energy &Utilities, and Others
4.4: APAC AI Orchestration Market
4.4.1: APAC AI Orchestration Market by Type: Services and Solution
4.4.2: APAC AI Orchestration Market by Application: IT & Telecommunications, Healthcare, BFSI, Consumer Goods & Retail, Government & Defense, Energy &Utilities, and Others
4.5: ROW AI Orchestration Market
4.5.1: ROW AI Orchestration Market by Type: Services and Solution
4.5.2: ROW AI Orchestration Market by Application: IT & Telecommunications, Healthcare, BFSI, Consumer Goods & Retail, Government & Defense, Energy &Utilities, and Others
5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis
6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global AI Orchestration Market by Type
6.1.2: Growth Opportunities for the Global AI Orchestration Market by Application
6.1.3: Growth Opportunities for the Global AI Orchestration Market by Region
6.2: Emerging Trends in the Global AI Orchestration Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global AI Orchestration Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI Orchestration Market
6.3.4: Certification and Licensing
7. Company Profiles of Leading Players
7.1: Fujitsu Limited
7.2: Wipro Limited
7.3: Capgemini Services SAS
7.4: General Electric Company
7.5: BMC Software
7.6: Oracle Corporation
7.7: TIBCO Software
.

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A 150 Page Report
Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
  • In-depth interviews of the major players in this market
  • Detailed secondary research from competitors’ financial statements and published data 
  • Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
  • A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
 
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process. 
 

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