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AI Orchestration Market Report Scope & Overview:

The AI Orchestration Market size was USD 6.9 billion in 2022 and is expected to Reach USD 35.22 billion by 2030 and grow at a CAGR of 22.5 % over the forecast period of 2023-2030.

The market for AI orchestration was a new one that was developing quickly. The management and synchronization of diverse AI technologies and processes in order to produce desired results is referred to as AI orchestration. To tackle difficult challenges and improve AI workflows, it entails combining several AI models, algorithms, and tools into a single framework. The next big thing in task automation via the cloud, data centers, and ERP systems has emerged as artificial intelligence `orchestration. Companies may increase efficiency, save time, take advantage of growth, and scale up operations thanks to orchestration. Modern tools for insight generation, model construction, and data preparation include artificial intelligence and machine learning. The operationalization of AI platforms, such as AI orchestration, has undergone a seismic change as a result of the need to use AI for business transformation. Orchestration could shatter silos and promote digital transformation as a number of firms push the modernization of internal operations to a new level with enhanced agility. To put things in perspective, AI orchestration will assist businesses in improving automated decision intelligence.   AI orchestration provides a number of advantages, including the ability for IT professionals to centrally monitor and control all IT servers, applications, and workflows while automating operations across several platforms from a single location. Additionally, unified IT server and application coordination makes it simpler and quicker to integrate new tools and systems into the current infrastructure. AI can be used to streamline administrative processes, optimize resource allocation, and improve operational efficiency in healthcare organizations. It can assist in tasks such as patient scheduling, inventory management, and workflow optimization, leading to cost savings and improved patient care.

AI Orchestration Market Revenue Analysis

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MARKET DYNAMICS

KEY DRIVERS

  • Increase the utilization of AI orchestration solutions among different end users to have an impact on market expansion.

  • Growing demand for AI and ml. For data management is one of the major factors driving the growth of the market

The AI Orchestration Market will grow as a result of the use of AI in a number of end-user industries, including E-commerce, education, transportation, healthcare, marketing, and agriculture. Over the projection period, new innovative technologies like 5G and AI are expected to accelerate market growth.

RESTRAIN

  • concerns about data privacy and security, which may lead to hesitancy in adopting AI orchestration solutions

one of the identified factors that may hamper the growth of the AI orchestration market is the potential exposure of government records to data breaches when using AI for data collection

OPPORTUNITY

  • Increasing adoption presents opportunities for AI orchestration providers to cater to the specific needs of these industries and offer tailored solutions.

  • The potential for geographic growth and the chance to access new markets.

Various industries, including e-commerce, education, cars, marketing, healthcare, and agriculture, are increasingly adopting AI orchestration. Due to this rising acceptance, AI orchestration service providers now have the chance to respond to the unique requirements of various sectors and deliver customized solutions.

CHALLENGES

  • The widespread adoption of AI orchestration may be hampered by the lack of competent AI workers.

challenges in acquiring the necessary technical expertise to design and manage complex AI orchestration frameworks.

IMPACT OF RUSSIAN-UKRAINE WAR

The Russia-Ukraine conflict has reportedly involved a use of potent Russian drones with AI capabilities. The struggle has illustrated AI's potential in asymmetrical combat and its usefulness in wars with powerful adversaries. The Russian military has been actively thinking about AI development and its application in ongoing and upcoming conflicts.  The Russian Ministry of Defense is looking for ways to adapt to the changing environment as a result of the conflict and the implementation of sanctions, and AI is considered as a critical component in controlling uncrewed technology and a decision-making tool. Ukraine has identified deceased Russian service members through their social media profiles using cutting-edge AI-based imaging and facial recognition software from Clearview AI in order to notify their relatives. send their bodies to the relatives after their passing. In order to provide Ukraine an advantage in intelligence, surveillance, and reconnaissance, foreign spatial intelligence businesses have utilized AI-enhanced systems. Palantir Technologies and other businesses have been instrumental in this.

IMPACT OF ONGOING RECESSION

The consequences of a recession are not immune to the AI sector, depending on the kind of vendor, the effects of the economic slump vary. vendors could observe a decline in sales and new projects, some big technological corporations, like Google, have stopped hiring for non-essential positions. Many businesses are beginning to reduce their budgets for the upcoming year, which is expected to slow down the development of new AI initiatives, recruiting, and technology acquisition. Despite having funded $300 million last year, independent AI provider Data Robot let go of around 7% of its workers in May. However, automation and artificial intelligence are becoming a significant element of the economy. And many businesses see AI as a tool to weather the slowdown because a downturn could force businesses to operate more efficiently. Gartner anticipates that by 2025, 70% of enterprises will have operationalized AI architectures due to the rapid maturation of AI orchestration initiatives. As a result of the increased reliance on technology, the AI landscape is rapidly expanding.  These methods provide for more reliable analytics and aid in obtaining a more comprehensive understanding of company issues. AI magnifies both the positive and bad effects of judgments as it increasingly substitutes human judgment at scale. Organizations must create and use AI systems fairly, openly, and in a way that protects individuals' privacy, society, and the environment.

KEY MARKET SEGMENTS 

By Organization Size

  • Large Enterprises

  • Small and Medium-sized Enterprises

By Application

  • Workflow Orchestration

  • Customer Service Orchestration

  • Infrastructure Orchestration

  • Manufacturing Orchestration

  • Others

 By Deployment Mode

  • On-Premise

  • Cloud

By End-User

  • BFSI

  • Healthcare

  • Retail

  • Manufacturing

  • Government

  • IT

  • Telecom

  • Others

AI Orchestration Market Segmentation Analysis

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Region Coverage:

North America

  • USA

  • Canada

  • Mexico

Europe

  • Eastern Europe

    • Poland

    • Romania

    • Hungary

    • Turkey

    • Rest of Eastern Europe

  • Western Europe

    • Germany

    • France

    • UK

    • Italy

    • Spain

    • Netherlands

    • Switzerland

    • Austria

    • Rest of Western Europe

Asia Pacific

  • China

  • India

  • Japan

  • South Korea

  • Vietnam

  • Singapore

  • Australia

  • Rest of Asia Pacific

Middle East & Africa

  • Middle East

    • UAE

    • Egypt

    • Saudi Arabia

    • Qatar

    • Rest of Middle East

  • Africa

    • Nigeria

    • South Africa

    • Rest of Africa

Latin America

  • Brazil

  • Argentina

  • Colombia

  • Rest of Latin America

REGIONAL ANALYSIS

North America dominated the AI orchestration market share in 2022 and is expected to grow at a significant CAGR during the forecast period. This is due to the high concentration of artificial intelligence and cloud-based solution industries in the region are expected to provide lucrative growth opportunities for the AI orchestration market. Digital Transformation and fast internet services in the area and responsible factors for the market growth. The US market dominated the North America AI Orchestration Market by country in 2022. North America is estimated to hold a major share in the AI orchestration market due to the presence of various major AI orchestration players in the area and rising adoption rate of AI & ML technologies across BFSI and healthcare to increase data security. Furthermore, the increasing adoption of AI orchestration in various end-user industries such as E-commerce, education, automobiles, marketing, healthcare, and agriculture is expected to drive the growth of the AI orchestration market in this region

The Asia Pacific, is expected to have significant growth for the market due to the increase in the scope of the AI orchestration industry and increasing government financing for 6G research and development. across various industries. AI orchestration, which involves managing and coordinating multiple AI systems and workflows, plays a crucial role in harnessing the potential of AI in this region. China is one of the leading countries in the Asia Pacific region when it comes to AI adoption. The Chinese government has set ambitious goals to become a global leader in AI by 2030. The country's large population and extensive data availability provide a conducive environment for AI deployment. Chinese companies, such as Baidu, Alibaba, and Tencent, are investing heavily in AI orchestration platforms and technologies. India has emerged as a significant player in the AI space, with a growing start-up ecosystem and a skilled pool of AI talent. The Indian government's "Digital India" initiative and various AI-focused policies have fostered the growth of AI technologies, including AI orchestration. Indian enterprises are increasingly adopting AI orchestration solutions to streamline their operations and deliver personalized customer experiences.

KEY PLAYERS

The major key players in the AI Orchestration Market are IBM Corporation, Wipro Limited, Hewlett Packard Enterprise Company, Cisco Systems Inc., BMC Software Inc., General Electric Company, TIBCO Software Inc., Oracle Corporation, Capgemini Services SAS, Fujitsu Limited and other players.

BMC Software Inc-Company Financial Analysis

Company Landscape Analysis

RECENT DEVELOPMENTS

Trakcel: In October 2022 in order to develop cell and gene orchestration utilizing AI technologies, trakcel, a provider of cellular orchestration solutions for healthcare used for clinical trials and commercial therapies, partnered with ZS.

IBM and Cisco: In October 2021 IBM and Cisco worked together to make it possible to orchestrate and administer 5G networks. For more than 25 years, this partnership will assist clients with their digital transition. Such ongoing improvement unlock the newer advanced technologies such as 5G, and AI technologies, which is expected to propel the growth of the market during the forecast period.

AI Orchestration Market Report Scope:
Report Attributes Details
Market Size in 2022  US$ 6.9 Bn
Market Size by 2030  US$ 35.22 Bn
CAGR   CAGR of 22.5  % From 2023 to 2030
Base Year 2022
Forecast Period  2023-2030
Historical Data  2020-2021
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • By Organization Size (Large Enterprises, Small and Medium-sized Enterprises)
• By Application (Workflow Orchestration, Customer Service Orchestration, Infrastructure Orchestration, Manufacturing Orchestration, Others)
• By Deployment Mode (On-Premise, Cloud)
• By End-User (BFSI, Healthcare, Retail, Manufacturing, Government, IT, Telecom, Others)
Regional Analysis/Coverage North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]). Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America)
Company Profiles IBM Corporation, Wipro Limited, Hewlett Packard Enterprise Company, Cisco Systems Inc., BMC Software Inc., General Electric Company, TIBCO Software Inc., Oracle Corporation, Capgemini Services SAS, Fujitsu Limited
Key Drivers • Increase the utilization of AI orchestration solutions among different end users to have an impact on market expansion.
• Growing demand for AI and ml. For data management is one of the major factors driving the growth of the market
Market Restraints • concerns about data privacy and security, which may lead to hesitancy in adopting AI orchestration solutions

 

Frequently Asked Questions

Ans: The AI Orchestration Market is to grow at a CAGR of 22.5% Over the Forecast Period 2023-2030.

Ans: The AI orchestration Market size is projected to reach USD 35.22 Billion by 2030.

 Ans.  AI orchestration in the healthcare industry enables the delivery of real-time insights, helping healthcare providers understand the needs of their customers and improve patient care

Ans. Analyzing biomedical data, Drug discovery, Patient care, voiding unnecessary surgery, Healthcare management are just a few examples of the many AI use cases in the healthcare industry.

Ans.Growing adoption in healthcare, Digital transformation, Expansion in verticals, Technological advancements, Operationalizing AI platforms These upcoming applications and trends highlight the increasing adoption and potential of AI orchestration across industries.

TABLE OF CONTENTS

1. Introduction
1.1 Company Definition
1.2 Scope
1.3 Research Assumptions

2. Research Methodology

3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges

4. Impact Analysis
4.1 Impact of Ukraine- Russia War
4.2 Impact of Recession
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 Japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World

5. Value Chain Analysis

6. Porter’s 5 forces model

7. PEST Analysis

8. AI orchestration Market Segmentation, by Organization Size
8.1 Large Enterprises
8.2 Small and Medium-sized Enterprises

9. AI orchestration Market Segmentation, by Application
9.1 Workflow Orchestration
9.2 Customer Service Orchestration
9.3 Infrastructure Orchestration
9.4 Manufacturing Orchestration
9.5 Others

10. AI orchestration Market Segmentation, by Deployment
10.1 On-premise
10.2 Cloud Based

11.  AI orchestration Market Segmentation, by End-User
11.1 BFSI
11.2 Healthcare
11.3 Retail
11.4 Manufacturing
11.5 Government
11.6 IT
11.7 Telecom
11.8 Others

12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 North America AI orchestration Market by Country
12.2.2North America AI orchestration Market by Organization Size
12.2.3 North America AI orchestration Market by Application
12.2.4 North America AI orchestration Market by Deployment
12.2.5 North America AI orchestration Market by End-User
12.2.6 USA
12.2.6.1 USA AI orchestration Market by Organization Size
12.2.6.2 USA AI orchestration Market by Application
12.2.6.3 USA AI orchestration Market by Deployment
12.2.6.4 USA AI orchestration Market by End-User
12.2.7 Canada
12.2.7.1 Canada AI orchestration Market by Organization Size
12.2.7.2 Canada AI orchestration Market by Application
12.2.7.3 Canada AI orchestration Market by Deployment
12.2.7.4 Canada AI orchestration Market by End-User
12.2.8 Mexico
12.2.8.1 Mexico AI orchestration Market by Organization Size
12.2.8.2 Mexico AI orchestration Market by Application
12.2.8.3 Mexico AI orchestration Market by Deployment
12.2.8.4 Mexico AI orchestration Market by End-User
12.3 Europe
12.3.1 Eastern Europe
12.3.1.1 Eastern Europe AI orchestration Market by Country
12.3.1.2 Eastern Europe AI orchestration Market by Organization Size
12.3.1.3 Eastern Europe AI orchestration Market by Application
12.3.1.4 Eastern Europe AI orchestration Market by Deployment
12.3.1.5 Eastern Europe AI orchestration Market by End-User
12.3.1.6 Poland
12.3.1.6.1 Poland AI orchestration Market by Organization Size
12.3.1.6.2 Poland AI orchestration Market by Application
12.3.1.6.3 Poland AI orchestration Market by Deployment
12.3.1.6.4 Poland AI orchestration Market by End-User
12.3.1.7 Romania
12.3.1.7.1 Romania AI orchestration Market by Organization Size
12.3.1.7.2 Romania AI orchestration Market by Application
12.3.1.7.3 Romania AI orchestration Market by Deployment
12.3.1.7.4 Romania AI orchestration Market by End-User
12.3.1.8 Hungary
12.3.1.8.1 Hungary AI orchestration Market by Organization Size
12.3.1.8.2 Hungary AI orchestration Market by Application
12.3.1.8.3 Hungary AI orchestration Market by Deployment
12.3.1.8.4 Hungary AI orchestration Market by End-User
12.3.1.9 Turkey
12.3.1.9.1 Turkey AI orchestration Market by Organization Size
12.3.1.9.2 Turkey AI orchestration Market by Application
12.3.1.9.3 Turkey AI orchestration Market by Deployment
12.3.1.9.4 Turkey AI orchestration Market by End-User
12.3.1.10 Rest of Eastern Europe
12.3.1.10.1 Rest of Eastern Europe AI orchestration Market by Organization Size
12.3.1.10.2 Rest of Eastern Europe AI orchestration Market by Application
12.3.1.10.3 Rest of Eastern Europe AI orchestration Market by Deployment
12.3.1.10.4 Rest of Eastern Europe AI orchestration Market by End-User
12.3.2 Western Europe
12.3.2.1 Western Europe AI orchestration Market by Country
12.3.2.2 Western Europe AI orchestration Market by Organization Size
12.3.2.3 Western Europe AI orchestration Market by Application
12.3.2.4 Western Europe AI orchestration Market by Deployment
12.3.2.5 Western Europe AI orchestration Market by End-User
12.3.2.6 Germany
12.3.2.6.1 Germany AI orchestration Market by Organization Size
12.3.2.6.2 Germany AI orchestration Market by Application
12.3.2.6.3 Germany AI orchestration Market by Deployment
12.3.2.6.4 Germany AI orchestration Market by End-User
12.3.2.7 France
12.3.2.7.1 France AI orchestration Market by Organization Size
12.3.2.7.2 France AI orchestration Market by Application
12.3.2.7.3 France AI orchestration Market by Deployment
12.3.2.7.4 France AI orchestration Market by End-User
12.3.2.8 UK
12.3.2.8.1 UK AI orchestration Market by Organization Size
12.3.2.8.2 UK AI orchestration Market by Application
12.3.2.8.3 UK AI orchestration Market by Deployment
12.3.2.8.4 UK AI orchestration Market by End-User
12.3.2.9 Italy
12.3.2.9.1 Italy AI orchestration Market by Organization Size
12.3.2.9.2 Italy AI orchestration Market by Application
12.3.2.9.3 Italy AI orchestration Market by Deployment
12.3.2.9.4 Italy AI orchestration Market by End-User
12.3.2.10 Spain
12.3.2.10.1 Spain AI orchestration Market by Organization Size
12.3.2.10.2 Spain AI orchestration Market by Application
12.3.2.10.3 Spain AI orchestration Market by Deployment
12.3.2.10.4 Spain AI orchestration Market by End-User
12.3.2.11 Netherlands
12.3.2.11.1 Netherlands AI orchestration Market by Organization Size
12.3.2.11.2 Netherlands AI orchestration Market by Application
12.3.2.11.3 Netherlands AI orchestration Market by Deployment
12.3.2.11.4 Netherlands AI orchestration Market by End-User
12.3.2.12 Switzerland
12.3.2.12.1 Switzerland AI orchestration Market by Organization Size
12.3.2.12.2 Switzerland AI orchestration Market by Application
12.3.2.12.3 Switzerland AI orchestration Market by Deployment
12.3.2.12.4 Switzerland AI orchestration Market by End-User
12.3.2.13 Austria
12.3.2.13.1 Austria AI orchestration Market by Organization Size
12.3.2.13.2 Austria AI orchestration Market by Application
12.3.2.13.3 Austria AI orchestration Market by Deployment
12.3.2.13.4 Austria AI orchestration Market by End-User
12.3.2.14 Rest of Western Europe
12.3.2.14.1 Rest of Western Europe AI orchestration Market by Organization Size
12.3.2.14.2 Rest of Western Europe AI orchestration Market by Application
12.3.2.14.3 Rest of Western Europe AI orchestration Market by Deployment
12.3.2.14.4 Rest of Western Europe AI orchestration Market by End-User
12.4 Asia-Pacific
12.4.1 Asia Pacific AI orchestration Market by Country
12.4.2 Asia Pacific AI orchestration Market by Organization Size
12.4.3 Asia Pacific AI orchestration Market by Application
12.4.4 Asia Pacific AI orchestration Market by Deployment
12.4.5 Asia Pacific AI orchestration Market by End-User
12.4.6 China
12.4.6.1 China AI orchestration Market by Organization Size
12.4.6.2 China AI orchestration Market by Application
12.4.6.3 China AI orchestration Market by Deployment
12.4.6.4 China AI orchestration Market by End-User
12.4.7 India
12.4.7.1 India AI orchestration Market by Organization Size
12.4.7.2 India AI orchestration Market by Application
12.4.7.3 India AI orchestration Market by Deployment
12.4.7.4 India AI orchestration Market by End-User
12.4.8 Japan
12.4.8.1 Japan AI orchestration Market by Organization Size
12.4.8.2 Japan AI orchestration Market by Application
12.4.8.3 Japan AI orchestration Market by Deployment
12.4.8.4 Japan AI orchestration Market by End-User
12.4.9 South Korea
12.4.9.1 South Korea AI orchestration Market by Organization Size
12.4.9.2 South Korea AI orchestration Market by Application
12.4.9.3 South Korea AI orchestration Market by Deployment
12.4.9.4 South Korea AI orchestration Market by End-User
12.4.10 Vietnam
12.4.10.1 Vietnam AI orchestration Market by Organization Size
12.4.10.2 Vietnam AI orchestration Market by Application
12.4.10.3 Vietnam AI orchestration Market by Deployment
12.4.10.4 Vietnam AI orchestration Market by End-User
12.4.11 Singapore
12.4.11.1 Singapore AI orchestration Market by Organization Size
12.4.11.2 Singapore AI orchestration Market by Application
12.4.11.3 Singapore AI orchestration Market by Deployment
12.4.11.4 Singapore AI orchestration Market by End-User
12.4.12 Australia
12.4.12.1 Australia AI orchestration Market by Organization Size
12.4.12.2 Australia AI orchestration Market by Application
12.4.12.3 Australia AI orchestration Market by Deployment
12.4.12.4 Australia AI orchestration Market by End-User
12.4.13 Rest of Asia-Pacific
12.4.13.1 Rest of Asia-Pacific AI orchestration Market by Organization Size
12.4.13.2 Rest of Asia-Pacific APAC AI orchestration Market by Application
12.4.13.3 Rest of Asia-Pacific AI orchestration Market by Deployment
12.4.13.4 Rest of Asia-Pacific AI orchestration Market by End-User
12.5 Middle East & Africa
12.5.1 Middle East
12.5.1.1 Middle East AI orchestration Market by Country
12.5.1.2 Middle East AI orchestration Market by Organization Size
12.5.1.3 Middle East AI orchestration Market by Application
12.5.1.4 Middle East AI orchestration Market by Deployment
12.5.1.5 Middle East AI orchestration Market by End-User
12.5.1.6 UAE
12.5.1.6.1 UAE AI orchestration Market by Organization Size
12.5.1.6.2 UAE AI orchestration Market by Application
12.5.1.6.3 UAE AI orchestration Market by Deployment
12.5.1.6.4 UAE AI orchestration Market by End-User
12.5.1.7 Egypt
12.5.1.7.1 Egypt AI orchestration Market by Organization Size
12.5.1.7.2 Egypt AI orchestration Market by Application
12.5.1.7.3 Egypt AI orchestration Market by Deployment
12.5.1.7.4 Egypt AI orchestration Market by End-User
12.5.1.8 Saudi Arabia
12.5.1.8.1 Saudi Arabia AI orchestration Market by Organization Size
12.5.1.8.2 Saudi Arabia AI orchestration Market by Application
12.5.1.8.3 Saudi Arabia AI orchestration Market by Deployment
12.5.1.8.4 Saudi Arabia AI orchestration Market by End-User
12.5.1.9 Qatar
12.5.1.9.1 Qatar AI orchestration Market by Organization Size
12.5.1.9.2 Qatar AI orchestration Market by Application
12.5.1.9.3 Qatar AI orchestration Market by Deployment
12.5.1.9.4 Qatar AI orchestration Market by End-User
12.5.1.10 Rest of Middle East
12.5.1.10.1 Rest of Middle East AI orchestration Market by Organization Size
12.5.1.10.2 Rest of Middle East AI orchestration Market by Application
12.5.1.10.3 Rest of Middle East AI orchestration Market by Deployment
12.5.1.10.4 Rest of Middle East AI orchestration Market by End-User
12.5.2. Africa
12.5.2.1 Africa AI orchestration Market by Country
12.5.2.2 Africa AI orchestration Market by Organization Size
12.5.2.3 Africa AI orchestration Market by Application
12.5.2.4 Africa AI orchestration Market by Deployment
12.5.2.5 Africa AI orchestration Market by End-User
12.5.2.6 Nigeria
12.5.2.6.1 Nigeria AI orchestration Market by Organization Size
12.5.2.6.2 Nigeria AI orchestration Market by Application
12.5.2.6.3 Nigeria AI orchestration Market by Deployment
12.5.2.6.4 Nigeria AI orchestration Market by End-User
12.5.2.7 South Africa
12.5.2.7.1 South Africa AI orchestration Market by Organization Size
12.5.2.7.2 South Africa AI orchestration Market by Application
12.5.2.7.3 South Africa AI orchestration Market by Deployment
12.5.2.7.4 South Africa AI orchestration Market by End-User
12.5.2.8 Rest of Africa
12.5.2.8.1 Rest of Africa AI orchestration Market by Organization Size
12.5.2.8.2 Rest of Africa AI orchestration Market by Application
12.5.2.8.3 Rest of Africa AI orchestration Market by Deployment
12.5.2.8.4 Rest of Africa AI orchestration Market by End-User
12.6. Latin America
12.6.1 Latin America AI orchestration Market by Country
12.6.2 Latin America AI orchestration Market by Organization Size
12.6.3 Latin America AI orchestration Market by Application
12.6.4 Latin America AI orchestration Market by Deployment
12.6.5 Latin America AI orchestration Market by End-User
12.6.6 Brazil
12.6.6.1 Brazil AI orchestration Market by Organization Size
12.6.6.2 Brazil AI orchestration Market by Application
12.6.6.3 Brazil AI orchestration Market by Deployment
12.6.6.4 Brazil AI orchestration Market by End-User
12.6.7 Argentina
12.6.7.1 Argentina AI orchestration Market by Organization Size
12.6.7.2 Argentina AI orchestration Market by Application
12.6.7.3 Argentina AI orchestration Market by Deployment
12.6.7.4 Argentina AI orchestration Market by End-User
12.6.8 Colombia
12.6.8.1 Colombia AI orchestration Market by Organization Size
12.6.8.2 Colombia AI orchestration Market by Application
12.6.8.3 Colombia AI orchestration Market by Deployment
12.6.8.4 Colombia AI orchestration Market by End-User
12.6.9 Rest of Latin America
12.6.9.1 Rest of Latin America AI orchestration Market by Organization Size
12.6.9.2 Rest of Latin America AI orchestration Market by Application
12.6.9.3 Rest of Latin America AI orchestration Market by Deployment
12.6.9.4 Rest of Latin America AI orchestration Market by End-User

13 Company Profile
13.1 IBM Corporation
13.1.1 Company Overview
13.1.2 Financials
13.1.3Product/Services/Offerings
13.1.4 SWOT Analysis
13.1.5 The SNS View
13.2 Wipro Limited
13.2.1 Company Overview
13.2.2 Financials
13.2.3Product/Services/Offerings
13.2.4 SWOT Analysis
13.2.5 The SNS View
13.3 Hewlett Packard Enterprise Company
13.3.1 Company Overview
13.3.2 Financials
13.3.3Product/Services/Offerings
13.3.4 SWOT Analysis
13.3.5 The SNS View
13.4 Cisco Systems, Inc
13.4.1 Company Overview
13.4.2 Financials
13.4.3Product/Services/Offerings
13.4.4 SWOT Analysis
13.4.5 The SNS View
13.5 BMC Software, Inc
13.5.1 Company Overview
13.5.2 Financials
13.5.3Product/Services/Offerings
13.5.4 SWOT Analysis
13.5.5 The SNS View
13.6 General Electric Company
13.6.1 Company Overview
13.6.2 Financials
13.6.3Product/Services/Offerings
13.6.4 SWOT Analysis
13.6.5 The SNS View
13.7 TIBCO Software Inc
13.7.1 Company Overview
13.7.2 Financials
13.7.3Product/Services/Offerings
13.7.4 SWOT Analysis
13.7.5 The SNS View
13.8 Oracle Corporation
13.8.1 Company Overview
13.8.2 Financial
13.8.3Product/Services/Offerings
13.8.4 SWOT Analysis
13.8.5 The SNS View
13.9 Capgemini Services SAS
13.9.1 Company Overview
13.9.2 Financials
13.9.3 Product/Service/Offerings
13.9.4 SWOT Analysis
13.9.5 The SNS View
13.10 Fujitsu Limited
13.10.1 Company Overview
13.10.2 Financials
13.10.3 Product/Service/Offerings
13.10.4 SWOT Analysis
13.10.5 The SNS View

14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Company Share Analysis
14.3 Recent Developments
14.3.1 Industry News
14.3.2 Company News
14.3.3 Mergers & Acquisitions

14. USE Cases and Best Practices

15. Conclusion

An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.

Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.

 

The 5 steps process:

Step 1: Secondary Research:

Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.

Secondary Research

Step 2: Primary Research

When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data.  This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.

We at SNS Insider have divided Primary Research into 2 parts.

Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.

This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.

Primary Research

Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.

Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.

Step 3: Data Bank Validation

Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.

Data Bank Validation

Step 4: QA/QC Process

After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.

Step 5: Final QC/QA Process:

This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.


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