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Report Scope & Overview:

The Artificial General Intelligence (AGI) Market was valued at USD 2.15 Billion in 2022 and is expected to be worth USD 27.47 Billion by 2030, increasing at a 37.5 % CAGR between 2023 and 2030.

Artificial General Intelligence (AGI) is a cutting-edge field of research within artificial intelligence that aims to develop machines capable of independent reasoning, learning, and decision-making across a wide array of tasks. The significance of AGI lies in its potential to revolutionize numerous industries, such as Computer-Aided Design, automatic translation, and data-driven machine learning. there is a surging demand for AGI across various industries, driven by the need for advanced automation and intelligent systems. Additionally, major players in the field are investing heavily in research and development (R&D) activities, further fueling the progress of AGI. Moreover, the widespread adoption of artificial intelligence in diverse businesses is contributing to the expansion of the AGI market. the increasing demand for Cognitive Services, which encompass advanced AI capabilities like natural language processing and computer vision, is expected to be a significant driver of AGI market growth. These services enable machines to understand and interpret human-like interactions, opening up new possibilities for AGI applications.

Artificial General Intelligence (AGI) Market Revenue Analysis

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Market Dynamics

Drivers

  • The AGI market is poised for growth due to the rising demand for cognitive computing and artificial intelligence (AI) across various industries.

  • The increasing prevalence of the internet and smartphones is expected to further drive the expansion of the AGI market.

  • The increasing demand for intelligent automation in diverse industrial sectors is expected to drive the growth of the Artificial General Intelligence (AGI) market in the forecast period.

Industries ranging from manufacturing and healthcare to finance and transportation are exploring AGI's applications to streamline processes, enhance efficiency, and unlock new opportunities. The ability of AGI to adapt, learn, and make decisions in complex environments makes it a highly sought-after technology for automating tasks that traditionally required human intervention. As the demand for more sophisticated automation and decision-making systems increases, the AGI market is likely to experience substantial growth, paving the way for innovative solutions that can handle diverse challenges across industries. The continuous advancements in technology and the quest for more intelligent systems are propelling the development and adoption of AGI.

Restrains

  • Strict government regulations play a crucial role in limiting the market's growth potential

  • Disruptions in the supply chain have emerged as another significant restraining factor

Opportunities

  • The increasing number of AI startups is anticipated to generate fresh opportunities for participants in this market in the coming years.

Challenges

  • Changing consumer preferences poses a challenge to the market's growth trajectory.

The development of AGI raises ethical dilemmas around its potential impact on society, employment, decision-making, and privacy. Regulations and ethical frameworks are necessary to address these concerns. Achieving true AGI, which possesses human-like general intelligence across various domains, remains a significant technical challenge. Current AI models often lack robustness, interpretability, and generalizability. AGI requires vast and diverse datasets for learning across multiple domains. Obtaining high-quality, diverse, and unbiased data at such a scale is a challenge, especially in fields with limited data availability.

The Russia-Ukraine war

Geopolitical tensions might lead to talented individuals in affected regions seeking opportunities elsewhere, affecting the talent pool available for AGI research and development. Brain drain can impact innovation and progress in the field. Economic instability resulting from geopolitical conflicts can affect investor confidence. Funding for AGI projects might be impacted as investors adopt a cautious approach, potentially reducing financial support for risky or long-term projects. Geopolitical tensions can lead to changes in international regulations and trade policies, impacting the flow of technology, data, and collaboration across borders. This can affect AGI research that relies on international collaboration and access to diverse datasets. Geopolitical tensions often lead to broader economic uncertainty. Businesses might become more conservative in their spending and investment decisions, potentially affecting the demand for AGI solutions and applications. Geopolitical events can sometimes trigger shifts in technological leadership and innovation. For instance, if certain regions face restrictions or sanctions, it might open up opportunities for other countries to take the lead in AGI research and development. In response to geopolitical tensions, governments might reassess their priorities, including their focus on supporting emerging technologies like AGI. This could lead to changes in funding, policies, or research initiatives.

Impact of Recessions 

Recessions often lead to reduced investment across various sectors. This can affect AGI research and development as companies, investors, and governments might cut back on funding for innovative but costly projects, including AGI. Recessions can slow down the pace of technological innovation. Companies might prioritize short-term profitability over long-term research and development, impacting the progress of AGI. During economic downturns, companies might face challenges in hiring and retaining top talent due to budget constraints or layoffs. This can impact AGI development, which heavily relies on skilled researchers, engineers, and experts. Businesses may be more conservative in adopting new technologies during recessions, focusing on cost-cutting measures and proven solutions rather than investing in cutting-edge, untested technologies like AGI. This can affect the demand for AGI applications and solutions. Recessions often force companies to reassess their priorities. AGI projects might take a backseat to more immediate concerns, such as staying afloat, which can delay or scale back research and development efforts. Economic downturns might prompt governments to reevaluate policies regarding emerging technologies. This can either support or hinder the progress of AGI depending on the direction of regulatory changes.

Key Market Segmentation

By Type

  • Embedded Non-IoT Device

  • Embedded IoT Device

  • Others

By Application

  • Predictive 3D Design

  • Financial Trading

  • Healthcare

  • Personal Security

  • Smart Cars

  • Online Search

  • Others

By Industry Vertical

  • Healthcare

  • Automotive

  • Manufacturing

  • Retail

  • BFSI

  • IT & Telecom

  • Education

  • Government & Defense

  • Energy

  • Transportation

  • Others

Artificial General Intelligence (AGI) Market Segmentation Analysis

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Regional Analysis 

North America emerged as the dominant force in the global market, capturing the largest revenue share. This trend is expected to continue in the foreseeable future, thanks to the region's early embrace of AGI technology and the substantial investments made by companies to enhance their business processes through artificial intelligence. Furthermore, the increasing demand for consumer electronics products equipped with advanced AI capabilities will further fuel the growth of this region. Latin America is projected to experience a slower growth rate compared to other regions. This can be attributed to the limited adoption of AGI technology and a lack of awareness regarding its benefits among businesses and consumers alike. Europe is anticipated to witness a faster growth rate than other regions. This can be attributed to the significant investments made by companies in AGI technology, as well as the rising demand from various industries such as banking, insurance, and manufacturing. Asia Pacific is expected to experience a slower growth rate due to the low adoption of AGI technology and a lack of awareness regarding its benefits. However, with the potential for increased awareness and adoption in the future, this region holds promising opportunities.

REGIONAL 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

Key Players:

The Major players in the market are Amazon, Salesforce, Microsoft, Megvii Technology, Brighterion, Google, H2O.ai, Intel, Baidu, Ipsoft, IBM, Facebook, SAP, IFlyTek, Brainasoft, Yseop, Albert Technologies, and others in final Report.

Amazon-Company Financial Analysis

Recent developments

OpenAI, OpenAI has been at the forefront of AGI research. They released models like GPT-3, which showcased impressive language generation abilities. OpenAI has been working on various aspects of AI safety, ethics, and the development of algorithms with broader capabilities.

Microsoft, Microsoft has been investing in AI research and development, particularly in areas like natural language processing (NLP), computer vision, and machine learning. Their Azure AI platform provides tools for developers to build AI applications.

IBM, IBM has been active in AI research, with efforts like IBM Watson focusing on natural language understanding, knowledge representation, and reasoning. They've also been involved in AI ethics and transparency initiatives.

Artificial General Intelligence Market Report Scope:
Report Attributes Details
Market Size in 2022  US$ 2.15 Billion
Market Size by 2030  US$ 27.47 Billion
CAGR   CAGR of 37.5 % From 2023 to 2030
Base Year 2022
Forecast Period  2023-2030
Historical Data  2019-2021
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • By Type (Embedded Non-IoT Device, Embedded IoT Device, Others)
• By Application (Predictive 3D Design, Financial Trading, Healthcare, Personal Security, Smart Cars, Online Search, Others)
• By Industry Vertical (Healthcare, Automotive, Manufacturing, Retail, BFSI, IT & Telecom, Education, Government & Defense, Energy, Transportation, 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 Amazon, Salesforce, Microsoft, Megvii Technology, Brighterion, Google, H2O.ai, Intel, Baidu, Ipsoft, IBM, Facebook, SAP, IFlyTek, Brainasoft, Yseop, Albert Technologies
Key Drivers • The AGI market is poised for growth due to the rising demand for cognitive computing and artificial intelligence (AI) across various industries.
• The increasing prevalence of the internet and smartphones is expected to further drive the expansion of the AGI market.
• The increasing demand for intelligent automation in diverse industrial sectors is expected to drive the growth of the Artificial General Intelligence (AGI) market in the forecast period.
Market Opportunities • The increasing number of AI startups is anticipated to generate fresh opportunities for participants in this market in the coming years.

 

Frequently Asked Questions

Ans: The CAGR of the Artificial General Intelligence (AGI) Market for the forecast period 2023-2030 is 37.5 %.

Ans: Yes, you can ask for the customization as per your business requirement.

 

Ans: USD 2.15 billion in 2022 is the market share of the Artificial General Intelligence (AGI) Market.

Ans:

  • The AGI market is poised for growth due to the rising demand for cognitive computing and artificial intelligence (AI) across various industries.
  • The increasing prevalence of the internet and smartphones is expected to further drive the expansion of the AGI market.
  • The increasing demand for intelligent automation in diverse industrial sectors is expected to drive the growth of the Artificial General Intelligence (AGI) market in the forecast period.

Ans: There are three segments covered in this report By Type, By Application, By Industry Vertical.

Table of Contents

1. Introduction
1.1 Market 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 Russia-Ukraine War
4.2 Impact of Ongoing Recession
4.2.1 Introduction
4.2.2 Impact on major economies
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. Artificial General Intelligence (AGI) Market, By Type
8.1 Embedded Non-IoT Device
8.2 Embedded IoT Device
8.3 Others

9. Artificial General Intelligence (AGI) Market By Application
9.1 Predictive 3D Design
9.2 Financial Trading
9.3 Healthcare
9.4 Personal Security
9.5 Smart Cars
9.6 Online Search
9.7 Others

10. Artificial General Intelligence (AGI) Market, By Industry Vertical
10.1 Healthcare
10.2 Automotive
10.3 Manufacturing
10.4 Retail
10.5 BFSI
10.6 IT & Telecom
10.7 Education
10.8 Government & Defense
10.9 Energy
10.10 Transportation
10.11 Others

11. Regional Analysis
11.1 Introduction
11.2 North America
11.2.1 North America Artificial General Intelligence (AGI) Market By Country
11.2.2 North America Artificial General Intelligence (AGI) Market By Type
11.2.3 North America Artificial General Intelligence (AGI) Market By Application
11.2.4 North America Artificial General Intelligence (AGI) Market By Industry Vertical
11.2.5 USA
11.2.5.1 USA Artificial General Intelligence (AGI) Market By Type
11.2.5.2 USA Artificial General Intelligence (AGI) Market By Application
11.2.5.3 USA Artificial General Intelligence (AGI) Market By Industry Vertical
11.2.6 Canada
11.2.6.1 Canada Artificial General Intelligence (AGI) Market By Type
11.2.6.2 Canada Artificial General Intelligence (AGI) Market By Application
11.2.6.3 Canada Artificial General Intelligence (AGI) Market By Industry Vertical
11.2.7 Mexico
11.2.7.1 Mexico Artificial General Intelligence (AGI) Market By Type
11.2.7.2 Mexico Artificial General Intelligence (AGI) Market By Application
11.2.7.3 Mexico Artificial General Intelligence (AGI) Market By Industry Vertical
11.3 Europe
11.3.1 Eastern Europe
11.3.1.1 Eastern Europe Artificial General Intelligence (AGI) Market by Country
11.3.1.2 Eastern Europe Artificial General Intelligence (AGI) Market By Type
11.3.1.3 Eastern Europe Artificial General Intelligence (AGI) Market By Application
11.3.1.4 Eastern Europe Artificial General Intelligence (AGI) Market By Industry Vertical
11.3.1.5 Poland
11.3.1.5.1 Poland Artificial General Intelligence (AGI) Market By Type
11.3.1.5.2 Poland Artificial General Intelligence (AGI) Market By Application
11.3.1.5.3 Poland Artificial General Intelligence (AGI) Market By Industry Vertical
11.3.1.6 Romania
11.3.1.6.1 Romania Artificial General Intelligence (AGI) Market By Type
11.3.1.6.2 Romania Artificial General Intelligence (AGI) Market By Application
11.3.1.6.4 Romania Artificial General Intelligence (AGI) Market By Industry Vertical
11.3.1.7 Turkey
11.3.1.7.1 Turkey Artificial General Intelligence (AGI) Market By Type
11.3.1.7.2 Turkey Artificial General Intelligence (AGI) Market By Application
11.3.1.7.3 Turkey Artificial General Intelligence (AGI) Market By Industry Vertical
11.3.1.8 Rest of Eastern Europe
11.3.1.8.1 Rest of Eastern Europe Artificial General Intelligence (AGI) Market By Type
11.3.1.8.2 Rest of Eastern Europe Artificial General Intelligence (AGI) Market By Application
11.3.1.8.3 Rest of Eastern Europe Artificial General Intelligence (AGI) Market By Industry Vertical
11.3.2 Western Europe
11.3.2.1 Western Europe Artificial General Intelligence (AGI) Market By Type
11.3.2.2 Western Europe Artificial General Intelligence (AGI) Market By Application
11.3.2.3 Western Europe Artificial General Intelligence (AGI) Market By Industry Vertical
11.3.2.4 Germany
11.3.2.4.1 Germany Artificial General Intelligence (AGI) Market By Type
11.3.2.4.2 Germany Artificial General Intelligence (AGI) Market By Application
11.3.2.4.3 Germany Artificial General Intelligence (AGI) Market By Industry Vertical
11.3.2.5 France
11.3.2.5.1 France Artificial General Intelligence (AGI) Market By Type
11.3.2.5.2 France Artificial General Intelligence (AGI) Market By Application
11.3.2.5.3 France Artificial General Intelligence (AGI) Market By Industry Vertical
11.3.2.6 UK
11.3.2.6.1 UK Artificial General Intelligence (AGI) Market By Type
11.3.2.6.2 UK Artificial General Intelligence (AGI) Market By Application
11.3.2.6.3 UK Artificial General Intelligence (AGI) Market By Industry Vertical
11.3.2.7 Italy
11.3.2.7.1 Italy Artificial General Intelligence (AGI) Market By Type
11.3.2.7.2 Italy Artificial General Intelligence (AGI) Market By Application
11.3.2.7.3 Italy Artificial General Intelligence (AGI) Market By Industry Vertical
11.3.2.8 Spain
11.3.2.8.1 Spain Artificial General Intelligence (AGI) Market By Type
11.3.2.8.2 Spain Artificial General Intelligence (AGI) Market By Application
11.3.2.8.3 Spain Artificial General Intelligence (AGI) Market By Industry Vertical
11.3.2.9 Netherlands
11.3.2.9.1 Netherlands Artificial General Intelligence (AGI) Market By Type
11.3.2.9.2 Netherlands Artificial General Intelligence (AGI) Market By Application
11.3.2.9.3 Netherlands Artificial General Intelligence (AGI) Market By Industry Vertical
11.3.2.10 Switzerland
11.3.2.10.1 Switzerland Artificial General Intelligence (AGI) Market By Type
11.3.2.10.2 Switzerland Artificial General Intelligence (AGI) Market By Application
11.3.2.10.3 Switzerland Artificial General Intelligence (AGI) Market By Industry Vertical
11.3.2.11.1 Austria
11.3.2.11.2 Austria Artificial General Intelligence (AGI) Market By Type
11.3.2.11.3 Austria Artificial General Intelligence (AGI) Market By Application
11.3.2.11.4 Austria Artificial General Intelligence (AGI) Market By Industry Vertical
11.3.2.12 Rest of Western Europe
11.3.2.12.1 Rest of Western Europe Artificial General Intelligence (AGI) Market By Type
11.3.2.12.2 Rest of Western Europe Artificial General Intelligence (AGI) Market By Application
11.3.2.12.3 Rest of Western Europe Artificial General Intelligence (AGI) Market By Industry Vertical
11.4 Asia-Pacific
11.4.1 Asia-Pacific Artificial General Intelligence (AGI) Market by Country
11.4.2 Asia-Pacific Artificial General Intelligence (AGI) Market By Type
11.4.3 Asia-Pacific Artificial General Intelligence (AGI) Market By Application
11.4.4 Asia-Pacific Artificial General Intelligence (AGI) Market By Industry Vertical
11.4.5 China
11.4.5.1 China Artificial General Intelligence (AGI) Market By Type
11.4.5.2 China Artificial General Intelligence (AGI) Market By Application
11.4.5.3 China Artificial General Intelligence (AGI) Market By Industry Vertical
11.4.6 India
11.4.6.1 India Artificial General Intelligence (AGI) Market By Type
11.4.6.2 India Artificial General Intelligence (AGI) Market By Application
11.4.6.3 India Artificial General Intelligence (AGI) Market By Industry Vertical
11.4.7 Japan
11.4.7.1 Japan Artificial General Intelligence (AGI) Market By Type
11.4.7.2 Japan Artificial General Intelligence (AGI) Market By Application
11.4.7.3 Japan Artificial General Intelligence (AGI) Market By Industry Vertical
11.4.8 South Korea
11.4.8.1 South Korea Artificial General Intelligence (AGI) Market By Type
11.4.8.2 South Korea Artificial General Intelligence (AGI) Market By Application
11.4.8.3 South Korea Artificial General Intelligence (AGI) Market By Industry Vertical
11.4.9 Vietnam
11.4.9.1 Vietnam Artificial General Intelligence (AGI) Market By Type
11.4.9.2 Vietnam Artificial General Intelligence (AGI) Market By Application
11.4.9.3 Vietnam Artificial General Intelligence (AGI) Market By Industry Vertical
11.4.10 Singapore
11.4.10.1 Singapore Artificial General Intelligence (AGI) Market By Type
11.4.10.2 Singapore Artificial General Intelligence (AGI) Market By Application
11.4.10.3 Singapore Artificial General Intelligence (AGI) Market By Industry Vertical
11.4.11 Australia
11.4.11.1 Australia Artificial General Intelligence (AGI) Market By Type
11.4.11.2 Australia Artificial General Intelligence (AGI) Market By Application
11.4.11.3 Australia Artificial General Intelligence (AGI) Market By Industry Vertical
11.4.12 Rest of Asia-Pacific
11.4.12.1 Rest of Asia-Pacific Artificial General Intelligence (AGI) Market By Type
11.4.12.2 Rest of Asia-Pacific Artificial General Intelligence (AGI) Market By Application
11.4.12.3 Rest of Asia-Pacific Artificial General Intelligence (AGI) Market By Industry Vertical
11.5 Middle East & Africa
11.5.1 Middle East
11.5.1.1 Middle East Artificial General Intelligence (AGI) Market by country
11.5.1.2 Middle East Artificial General Intelligence (AGI) Market By Type
11.5.1.3 Middle East Artificial General Intelligence (AGI) Market By Application
11.5.1.4 Middle East Artificial General Intelligence (AGI) Market By Industry Vertical
11.5.1.5 UAE
11.5.1.5.1 UAE Artificial General Intelligence (AGI) Market By Type
11.5.1.5.2 UAE Artificial General Intelligence (AGI) Market By Application
11.5.1.5.3 UAE Artificial General Intelligence (AGI) Market By Industry Vertical
11.5.1.6 Egypt
11.5.1.6.1 Egypt Artificial General Intelligence (AGI) Market By Type
11.5.1.6.2 Egypt Artificial General Intelligence (AGI) Market By Application
11.5.1.6.3 Egypt Artificial General Intelligence (AGI) Market By Industry Vertical
11.5.1.7 Saudi Arabia
11.5.1.7.1 Saudi Arabia Artificial General Intelligence (AGI) Market By Type
11.5.1.7.2 Saudi Arabia Artificial General Intelligence (AGI) Market By Application
11.5.1.7.3 Saudi Arabia Artificial General Intelligence (AGI) Market By Industry Vertical
11.5.1.8 Qatar
11.5.1.8.1 Qatar Artificial General Intelligence (AGI) Market By Type
11.5.1.8.2 Qatar Artificial General Intelligence (AGI) Market By Application
11.5.1.8.3 Qatar Artificial General Intelligence (AGI) Market By Industry Vertical
11.5.1.9 Rest of Middle East
11.5.1.9.1 Rest of Middle East Artificial General Intelligence (AGI) Market By Type
11.5.1.9.2 Rest of Middle East Artificial General Intelligence (AGI) Market By Application
11.5.1.9.3 Rest of Middle East Artificial General Intelligence (AGI) Market By Industry Vertical
11.5.2 Africa
11.5.2.1 Africa Transfusion Diagnostics Market by country
11.5.2.2 Africa Artificial General Intelligence (AGI) Market By Type
11.5.2.3 Africa Artificial General Intelligence (AGI) Market By Application
11.5.2.4 Africa Artificial General Intelligence (AGI) Market By Industry Vertical
11.5.2.5 Nigeria
11.5.2.5.1 Nigeria Artificial General Intelligence (AGI) Market By Type
11.5.2.5.2 Nigeria Artificial General Intelligence (AGI) Market By Application
11.5.2.5.3 Nigeria Artificial General Intelligence (AGI) Market By Industry Vertical
11.5.2.6 South Africa
11.5.2.6.1 South Africa Artificial General Intelligence (AGI) Market By Type
11.5.2.6.2 South Africa Artificial General Intelligence (AGI) Market By Application
11.5.2.6.3 South Africa Artificial General Intelligence (AGI) Market By Industry Vertical
11.5.2.7 Rest of Africa
11.5.2.7.1 Rest of Africa Artificial General Intelligence (AGI) Market By Type
11.5.2.7.2 Rest of Africa Artificial General Intelligence (AGI) Market By Application
11.5.2.7.3 Rest of Africa Artificial General Intelligence (AGI) Market By Industry Vertical
11.6 Latin America
11.6.1 Latin America Artificial General Intelligence (AGI) Market by Country
11.6.2 Latin America Artificial General Intelligence (AGI) Market By Type
11.6.3 Latin America Artificial General Intelligence (AGI) Market By Application
11.6.4 Latin America Artificial General Intelligence (AGI) Market By Industry Vertical
11.6.5 Brazil
11.6.5.1 Brazil Artificial General Intelligence (AGI) Market By Type
11.6.5.2 Brazil Artificial General Intelligence (AGI) Market By Application
11.6.5.3 Brazil Artificial General Intelligence (AGI) Market By Industry Vertical
11.6.6 Argentina
11.6.6.1 Argentina Artificial General Intelligence (AGI) Market By Type
11.6.6.2 Argentina Artificial General Intelligence (AGI) Market By Application
11.6.6.3 Argentina Artificial General Intelligence (AGI) Market By Industry Vertical
11.6.7 Colombia
11.6.7.1 Colombia Artificial General Intelligence (AGI) Market By Type
11.6.7.2 Colombia Artificial General Intelligence (AGI) Market By Application
11.6.7.3 Colombia Artificial General Intelligence (AGI) Market By Industry Vertical
11.6.8 Rest of Latin America
11.6.8.1 Rest of Latin America Artificial General Intelligence (AGI) Market By Type
11.6.8.2 Rest of Latin America Artificial General Intelligence (AGI) Market By Application
11.6.8.3 Rest of Latin America Artificial General Intelligence (AGI) Market By Industry Vertical

12 Company profile
12.1 Amazon
12.1.1 Company Overview
12.1.2 Financials
12.1.3 Product/Services/Offerings
12.1.4 SWOT Analysis
12.1.5 The SNS View
12.2 Microsoft.
12.2.1 Company Overview
12.2.2 Financials
12.2.3 Product/Services/Offerings
12.2.4 SWOT Analysis
12.2.5 The SNS View
12.3 Salesforce.
12.3.1 Company Overview
12.3.2 Financials
12.3.3 Product/Services/Offerings
12.3.4 SWOT Analysis
12.3.5 The SNS View
12.4 Google.
12.4.1 Company Overview
12.4.2 Financials
12.4.3 Product/Services/Offerings
12.4.4 SWOT Analysis
12.4.5 The SNS View
12.5 H2O.ai.
12.5.1 Company Overview
12.5.2 Financials
12.5.3 Product/Services/Offerings
12.5.4 SWOT Analysis
12.5.5 The SNS View
12.6 Intel.
12.6.1 Company Overview
12.6.2 Financials
12.6.3 Product/Services/Offerings
12.6.4 SWOT Analysis
12.6.5 The SNS View
12.7 IBM
12.7.1 Company Overview
12.7.2 Financials
12.7.3 Product/Services/Offerings
12.7.4 SWOT Analysis
12.7.5 The SNS View
12.8 Facebook.
12.8.1 Company overview
12.8.2 Financials
12.8.3 Product/Services/Offerings
12.8.4 SWOT Analysis
12.8.5 The SNS View
12.9 SAP.
12.9.1 Company Overview
12.9.2 Financials
12.9.3 Product/Services/Offerings
12.9.4 SWOT Analysis
12.9.5 The SNS View
12.10 Brainasoft.
12.10.1 Company Overview
12.10.2 Financials
12.10.3 Product/Services/Offerings
12.10.4 SWOT Analysis
12.10.5 The SNS View

13. Competitive Landscape
13.1 Competitive Benchmarking
13.2 Market Share Analysis
13.3 Recent Developments
13.3.1 Industry News
13.3.2 Company News
13.3.3 Mergers & Acquisitions

14. Use Case 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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