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Report Scope & Overview:

The Enterprise Artificial Intelligence Market was valued at USD 14.76 billion in 2022 and is projected to grow to USD 153.2 billion by 2030 & It is expected to expand at a CAGR of 33.98% between 2023 and 2030.

Enterprise AI is a software technology employed by organizations that incorporates artificial intelligence to a degree of progress that eventually surpasses human skills in the enterprise infrastructure, such as learning, comprehending, and interacting. This technological progress aids in the day-to-day operations of a business, such as the automation of a few encounters mixed with an increase in functional productivity and consistent growth in the organization's structure. Client interactions are automated through enterprise AI implementation, allowing organizations to deliver better customer care and personalized experiences. Furthermore, corporate AI includes a support desk that connects to the organization's cloud storage, files, and critical applications via application programming interface (API) connections.

Enterprise Artificial Intelligence Market Revenue Analysis

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Market Dynamics

Drivers

  • Organizational digitalization is becoming more prevalent.

One of the primary factors driving market development is the increasing digitization of end-use industries. Furthermore, as a result of new technologies such as edge computing, augmented and virtual reality (AR/VR), industrial robots, self-driving cars, digital manufacturing, industrial internet of things (IIOT), and digital manufacturing, the manufacturing industry has seen tremendous growth. These technologies help to improve the personalization, flexibility, and agility of manufacturing processes. Furthermore, the development of trustworthy cloud computing infrastructures, as well as developments in dynamic AI solutions for preventative maintenance, consumer behavior research, and the detection of fraud and threats, are propelling market expansion. Furthermore, the broad product usage across numerous firms for analyzing and interpreting large amounts of data is favorably impacting market growth. Another factor driving development is the increasing need for AI in the healthcare industry, which is driven by its ability to analyze massive amounts of genetic data and deliver more accurate treatment and accident prevention. Furthermore, the market is expected to rise as a consequence of ongoing improvements in robotics and intelligent virtual assistants, rising disposable incomes, and the implementation of a number of government programs encouraging industrial automation.

Restrains

  • A tiny number of AI experts

Deep learning, machine learning, image recognition, and cognitive computing are all terms that should be familiar to anybody working with AI systems. Integrating AI technologies with existing systems is complex, and substantial data processing is required to correctly reproduce the operation of the human brain. Even little faults can cause a system to malfunction or fail, having a significant impact on the outcome and expected outcomes. To alter an existing ML-enabled AI service, a data scientist or developer is required. Because AI technology is still in its infancy, there aren't many people in the workforce who are completely familiar with it. As a result, it is expected that this limitation will have a significant impact on the first few years of the forecast period.

Opportunities

Challenges

  • High initial investment

  • High cost incurred in maintenance.

Impact of the Russia-Ukraine War

The conflict may disrupt global supply chains, including the production and distribution of AI hardware components. Armed conflicts and geopolitical tensions often lead to economic uncertainty, which can have indirect effects on the AI market. Businesses may become cautious about investing in new technologies during times of instability, potentially slowing down the growth of the Enterprise AI market. The war and its aftermath could result in changes to international trade policies and regulations. Governments may impose new restrictions or tariffs, which could affect the import and export of AI technologies. Such changes can create additional barriers and challenges for AI companies operating in the affected regions. During wartime, governments often prioritize defense and security investments over other sectors. Resources may be redirected towards military applications of AI, diverting attention and funding away from enterprise-focused AI development and research. On the other hand, the conflict may create a greater demand for AI solutions in areas such as surveillance, cybersecurity, and intelligence gathering. Governments and organizations involved in the conflict may seek to enhance their capabilities in these areas, leading to increased investment and deployment of AI technologies.

Impact of the Recession

During a time of recession, businesses often prioritize cost-cutting and risk reduction. This can lead to a decrease in investments in emerging technologies like AI. Companies may delay or scale back their AI initiatives as they focus on immediate financial concerns. In a recession, businesses may become more cautious and risk-averse. They may be hesitant to adopt new technologies, including AI, due to the perceived financial risks and uncertainties. This can result in slower adoption rates and slower growth in the enterprise AI market. Economic downturns can lead to industry consolidation as weaker companies struggle to survive and stronger ones acquire or merge with competitors. This consolidation can impact the enterprise AI market by reducing the number of players and increasing market concentration. Smaller AI startups may find it challenging to secure funding or compete with larger, more established players. While overall AI investments may decrease during a recession, there is still potential for specific segments of the enterprise AI market to thrive. Businesses may prioritize AI solutions that can help them cut costs, improve operational efficiency, and automate manual tasks. AI technologies such as robotic process automation (RPA) or AI-driven chatbots could gain traction as companies seek ways to streamline their operations. During a recession, businesses may shift their AI priorities to focus more on immediate needs rather than long-term strategic initiatives.

Key Market Segmentation

By Deployment

  • Cloud

  • On-premises

By Organization size

  • Large Enterprises

  • Small And Medium Enterprises

By Technology

  • Natural Language Processing (NLP)

  • Machine Learning

  • Computer Vision

  • Speech Recognition

  • Others

By Application Area

  • Security and risk management

  • Marketing management

  • Customer support and experience

  • Human resource and recruitment management

  • Analytics application

  • Process automation

By End-use

  • Media & Advertising

  • Retail

  • BFSI

  • IT & Telecom

  • Healthcare

  • Automotive & Transportation

  • Others

Enterprise Artificial Intelligence Market Segmentation Analysis

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Regional Analysis 

Because of the existence of hyper scalers such as IBM Corporation Microsoft Corporation, and others, North America leads the industry. The current generative AI trend prompted these hyper scalers to improve their AI capabilities and design solutions that could meet shifting consumer needs. According to a Skynova poll conducted in 2023, approximately 79% of small company owners in the United States were positive about their AI installations. Furthermore, North America is critical to AI technology advancements. The region leads the market for the reasons stated above.

During the projection period, Asia-Pacific is predicted to have the quickest CAGR of 36.8%. Regional expansion may be attributed to the increasing adoption of AI and the installation of data management platforms that handle problems such as privacy and security, team cooperation, and the establishment of moral standards for organizations. AI advancements, increased government investment, and the adoption of new technologies across several sectors are the primary growth drivers.

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 are SAP SE, DataRobot, Inc., Microsoft Corporation, Oracle Corporation, NVidia Corporation, Amazon Web Services, Inc., Intel Corporation, Hewlett Packard Enterprise, IBM Corporation, Alphabet, C3.ai, Inc., Wipro Limited, Apple Inc, IPsoft Inc., and others

DataRobot, Inc-Company Financial Analysis

Recent Developments:

Sentaca was bought by IBM Corporation in February 2022, with this acquisition, IBM intends to accelerate the expansion of its cloud business Sentaca's consulting services are expected to assist IBM clients in resolving technology and other strategic concerns related to revenue, expenditure, infrastructure, and scalability.

Google Cloud and Kyndryl established a strategic relationship in December 2021. Kyndryl will leverage Google Cloud to build a digital transformation service centered on data analytics, machine learning, and artificial intelligence. Kyndryl also stated that they will leverage Google Cloud to expand their managed SAP services and develop a new data-centric tool to help their banking clients accelerate cloud migrations.

Enterprise Artificial Intelligence Market Report Scope:
Report Attributes Details
Market Size in 2022  US$ 14.76 Bn
Market Size by 2030  US$ 153.2 Bn
CAGR   CAGR of 33.98% 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 Deployment
• By Organization Size
• By Technology
• By Application Area
• By End-use
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 SAP SE, DataRobot, Inc., Microsoft Corporation, Oracle Corporation, NVidia Corporation, Amazon Web Services, Inc., Intel Corporation, Hewlett Packard Enterprise, IBM Corporation, Alphabet, C3.ai, Inc., Wipro Limited, Apple Inc, IPsoft Inc.
Key Drivers • Organizational digitalization is becoming more prevalent.
Market Restraints • A tiny number of AI experts

 

Frequently Asked Questions

Ans: The North America region is dominating the Enterprise Artificial Intelligence Market.

Ans: The Enterprise Artificial Intelligence Market is to grow at a CAGR of 33.98%  Over the Forecast Period 2023-2030.

Ans: The Enterprise Artificial Intelligence Market size was valued at USD 17.76 Bn in 2022.

Ans. The forecast period for the Enterprise Artificial Intelligence Market is 2023-2030.

Ans. USD 153.2 billion was the expected value of the Enterprise Artificial Intelligence market in 2030.

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. Enterprise Artificial Intelligence Market Segmentation, By Deployment
8.1 Cloud
8.2 On-premises

9. Enterprise Artificial Intelligence Market Segmentation, By Organization Size
9.1 Large Enterprises
9.2 Small and Medium Enterprises

10. Enterprise Artificial Intelligence Market Segmentation, By Technology Device
10.1 Natural Language Processing (NLP)
10.2 Machine Learning
10.3 Computer Vision
10.4 Speech Recognition
10.5 Others

11. Enterprise Artificial Intelligence Market Segmentation, By Application Area
11.1 Security and risk management
11.2 Marketing management
11.3 Customer support and experience
11.4 Human Resource and recruitment management
11.5 Analytics application
11.6 Process automation

12. Enterprise Artificial Intelligence Market Segmentation, By End-use
12.1 Media & Advertising
12.2 Retail
12.3 BFSI
12.4 IT & Telecom
12.5 Healthcare
12.6 Automotive & Transportation
12.7 Others

13 Regional Analysis
13.1 Introduction
13.2 North America
13.2.1 North America Enterprise Artificial Intelligence Market By Country
13.2.2 North America Enterprise Artificial Intelligence Market By Deployment
13.2.3 North America Enterprise Artificial Intelligence Market By Organization Size
13.2.4 North America Enterprise Artificial Intelligence Market By Technology Device
13.2.5 North America Enterprise Artificial Intelligence Market By Application Area
13.2.6 North America Enterprise Artificial Intelligence Market By End-use
13.2.7 USA
13.2.7.1 USA Enterprise Artificial Intelligence Market By Deployment
13.2.7.2 USA Enterprise Artificial Intelligence Market By Organization Size
13.2.7.3 USA Enterprise Artificial Intelligence Market By Technology Device
13.2.7.4 USA Enterprise Artificial Intelligence Market By Application Area
13.2.7.5 USA Enterprise Artificial Intelligence Market By End-use
13.2.8 Canada
13.2.8.1 Canada Enterprise Artificial Intelligence Market By Deployment
13.2.8.2 Canada Enterprise Artificial Intelligence Market By Organization Size
13.2.8.3 Canada Enterprise Artificial Intelligence Market By Technology Device
13.2.8.4 Canada Enterprise Artificial Intelligence Market By Application Area
13.2.8.5 Canada Enterprise Artificial Intelligence Market By End-use
13.2.9 Mexico
13.2.9.1 Mexico Enterprise Artificial Intelligence Market By Deployment
13.2.9.2 Mexico Enterprise Artificial Intelligence Market By Organization Size
13.2.9.3 Mexico Enterprise Artificial Intelligence Market By Technology Device
13.2.9.4 Mexico Enterprise Artificial Intelligence Market By Application Area
13.2.9.5 Mexico Enterprise Artificial Intelligence Market By End-use
13.3 Europe
13.3.1 Eastern Europe
13.3.1.1 Eastern Europe Enterprise Artificial Intelligence Market By Country
13.3.1.2 Eastern Europe Enterprise Artificial Intelligence Market By Deployment
13.3.1.3 Eastern Europe Enterprise Artificial Intelligence Market By Organization Size
13.3.1.4 Eastern Europe Enterprise Artificial Intelligence Market By Technology Device
13.3.1.5 Eastern Europe Enterprise Artificial Intelligence Market By Application Area
13.3.1.6 Eastern Europe Enterprise Artificial Intelligence Market By End-use
13.3.1.7 Poland
13.3.1.7.1 Poland Enterprise Artificial Intelligence Market By Deployment
13.3.1.7.2 Poland Enterprise Artificial Intelligence Market By Organization Size
13.3.1.7.3 Poland Enterprise Artificial Intelligence Market By Technology Device
13.3.1.7.4 Poland Enterprise Artificial Intelligence Market By Application Area
13.3.1.7.5 Poland Enterprise Artificial Intelligence Market By End-use
13.3.1.8 Romania
13.3.1.8.1 Romania Enterprise Artificial Intelligence Market By Deployment
13.3.1.8.2 Romania Enterprise Artificial Intelligence Market By Organization Size
13.3.1.8.3 Romania Enterprise Artificial Intelligence Market By Technology Device
13.3.1.8.4 Romania Enterprise Artificial Intelligence Market By Application Area
13.3.1.8.5 Romania Enterprise Artificial Intelligence Market By End-use
13.3.1.9 Hungary
13.3.1.9.1 Hungary Enterprise Artificial Intelligence Market By Deployment
13.3.1.9.2 Hungary Enterprise Artificial Intelligence Market By Organization Size
13.3.1.9.3 Hungary Enterprise Artificial Intelligence Market By Technology Device
13.3.1.9.4 Hungary Enterprise Artificial Intelligence Market By Application Area
13.3.1.9.5 Hungary Enterprise Artificial Intelligence Market By End-use
13.3.1.10 Turkey
13.3.1.10.1 Turkey Enterprise Artificial Intelligence Market By Deployment
13.3.1.10.2 Turkey Enterprise Artificial Intelligence Market By Organization Size
13.3.1.10.3 Turkey Enterprise Artificial Intelligence Market By Technology Device
13.3.1.10.4 Turkey Enterprise Artificial Intelligence Market By Application Area
13.3.1.10.5 Turkey Enterprise Artificial Intelligence Market By End-use
13.3.1.11 Rest of Eastern Europe
13.3.1.11.1 Rest of Eastern Europe Enterprise Artificial Intelligence Market By Deployment
13.3.1.11.2 Rest of Eastern Europe Enterprise Artificial Intelligence Market By Organization Size
13.3.1.11.3 Rest of Eastern Europe Enterprise Artificial Intelligence Market By Technology Device
13.3.1.11.4 Rest of Eastern Europe Enterprise Artificial Intelligence Market By Application Area
13.3.1.11.5 Rest of Eastern Europe Enterprise Artificial Intelligence Market By End-use
13.3.2 Western Europe
13.3.2.1 Western Europe Enterprise Artificial Intelligence Market By Country
13.3.2.2 Western Europe Enterprise Artificial Intelligence Market By Deployment
13.3.2.3 Western Europe Enterprise Artificial Intelligence Market By Organization Size
13.3.2.4 Western Europe Enterprise Artificial Intelligence Market By Technology Device
13.3.2.5 Western Europe Enterprise Artificial Intelligence Market By Application Area
13.3.2.6 Western Europe Enterprise Artificial Intelligence Market By End-use
13.3.2.7 Germany
13.3.2.7.1 Germany Enterprise Artificial Intelligence Market By Deployment
13.3.2.7.2 Germany Enterprise Artificial Intelligence Market By Organization Size
13.3.2.7.3 Germany Enterprise Artificial Intelligence Market By Technology Device
13.3.2.7.4 Germany Enterprise Artificial Intelligence Market By Application Area
13.3.2.7.5 Germany Enterprise Artificial Intelligence Market By End-use
13.3.2.8 France
13.3.2.8.1 France Enterprise Artificial Intelligence Market By Deployment
13.3.2.8.2 France Enterprise Artificial Intelligence Market By Organization Size
13.3.2.8.3 France Enterprise Artificial Intelligence Market By Technology Device
13.3.2.8.4 France Enterprise Artificial Intelligence Market By Application Area
13.3.2.8.5 France Enterprise Artificial Intelligence Market By End-use
13.3.2.9 UK
13.3.2.9.1 UK Enterprise Artificial Intelligence Market By Deployment
13.3.2.9.2 UK Enterprise Artificial Intelligence Market By Organization Size
13.3.2.9.3 UK Enterprise Artificial Intelligence Market By Technology Device
13.3.2.9.4 UK Enterprise Artificial Intelligence Market By Application Area
13.3.2.9.5 UK Enterprise Artificial Intelligence Market By End-use
13.3.2.10 Italy
13.3.2.10.1 Italy Enterprise Artificial Intelligence Market By Deployment
13.3.2.10.2 Italy Enterprise Artificial Intelligence Market By Organization Size
13.3.2.10.3 Italy Enterprise Artificial Intelligence Market By Technology Device
13.3.2.10.4 Italy Enterprise Artificial Intelligence Market By Application Area
13.3.2.10.5 Italy Enterprise Artificial Intelligence Market By End-use
13.3.2.11 Spain
13.3.2.11.1 Spain Enterprise Artificial Intelligence Market By Deployment
13.3.2.11.2 Spain Enterprise Artificial Intelligence Market By Organization Size
13.3.2.11.3 Spain Enterprise Artificial Intelligence Market By Technology Device
13.3.2.11.4 Spain Enterprise Artificial Intelligence Market By Application Area
13.3.2.11.5 Spain Enterprise Artificial Intelligence Market By End-use
13.3.2.12 The Netherlands
13.3.2.12.1 Netherlands Enterprise Artificial Intelligence Market By Deployment
13.3.2.12.2 Netherlands Enterprise Artificial Intelligence Market By Organization Size
13.3.2.12.3 Netherlands Enterprise Artificial Intelligence Market By Technology Device
13.3.2.12.4 Netherlands Enterprise Artificial Intelligence Market By Application Area
13.3.2.12.5 Netherlands Enterprise Artificial Intelligence Market By End-use
13.3.2.13 Switzerland
13.3.2.13.1 Switzerland Enterprise Artificial Intelligence Market By Deployment
13.3.2.13.2 Switzerland Enterprise Artificial Intelligence Market By Organization Size
13.3.2.13.3 Switzerland Enterprise Artificial Intelligence Market By Technology Device
13.3.2.13.4 Switzerland Enterprise Artificial Intelligence Market By Application Area
13.3.2.13.5 Switzerland Enterprise Artificial Intelligence Market By End-use
13.3.2.14 Austria
13.3.2.14.1 Austria Enterprise Artificial Intelligence Market By Deployment
13.3.2.14.2 Austria Enterprise Artificial Intelligence Market By Organization Size
13.3.2.14.3 Austria Enterprise Artificial Intelligence Market By Technology Device
13.3.2.14.4 Austria Enterprise Artificial Intelligence Market By Application Area
13.3.2.14.5 Austria Enterprise Artificial Intelligence Market By End-use
13.3.2.15 Rest of Western Europe
13.3.2.15.1 Rest of Western Europe Enterprise Artificial Intelligence Market By Deployment
13.3.2.15.2 Rest of Western Europe Enterprise Artificial Intelligence Market By Organization Size
13.3.2.15.3 Rest of Western Europe Enterprise Artificial Intelligence Market By Technology Device
13.3.2.15.4 Rest of Western Europe Enterprise Artificial Intelligence Market By Application Area
13.3.2.15.5 Rest of Western Europe Enterprise Artificial Intelligence Market By End-use
13.4 Asia-Pacific
13.4.1 Asia Pacific Enterprise Artificial Intelligence Market By Country
13.4.2 Asia Pacific Enterprise Artificial Intelligence Market By Deployment
13.4.3 Asia Pacific Enterprise Artificial Intelligence Market By Organization Size
13.4.4 Asia Pacific Enterprise Artificial Intelligence Market By Technology Device
13.4.5 Asia Pacific Enterprise Artificial Intelligence Market By Application Area
13.4.6 Asia Pacific Enterprise Artificial Intelligence Market By End-use
13.4.7 China
13.4.7.1 China Enterprise Artificial Intelligence Market By Deployment
13.4.7.2 China Enterprise Artificial Intelligence Market By Organization Size
13.4.7.3 China Enterprise Artificial Intelligence Market By Technology Device
13.4.7.4 China Enterprise Artificial Intelligence Market By Application Area
13.4.7.5 China Enterprise Artificial Intelligence Market By End-use
13.4.8 India
13.4.8.1 India Enterprise Artificial Intelligence Market By Deployment
13.4.8.2 India Enterprise Artificial Intelligence Market By Organization Size
13.4.8.3 India Enterprise Artificial Intelligence Market By Technology Device
13.4.8.4 India Enterprise Artificial Intelligence Market By Application Area
13.4.8.5 India Enterprise Artificial Intelligence Market By End-use
13.4.9 Japan
13.4.9.1 Japan Enterprise Artificial Intelligence Market By Deployment
13.4.9.2 Japan Enterprise Artificial Intelligence Market By Organization Size
13.4.9.3 Japan Enterprise Artificial Intelligence Market By Technology Device
13.4.9.4 Japan Enterprise Artificial Intelligence Market By Application Area
13.4.9.5 Japan Enterprise Artificial Intelligence Market By End-use
13.4.10 South Korea
13.4.10.1 South Korea Enterprise Artificial Intelligence Market By Deployment
13.4.10.2 South Korea Enterprise Artificial Intelligence Market By Organization Size
13.4.10.3 South Korea Enterprise Artificial Intelligence Market By Technology Device
13.4.10.4 South Korea Enterprise Artificial Intelligence Market By Application Area
13.4.10.5 South Korea Enterprise Artificial Intelligence Market By End-use
13.4.11 Vietnam
13.4.11.1 Vietnam Enterprise Artificial Intelligence Market By Deployment
13.4.11.2 Vietnam Enterprise Artificial Intelligence Market By Organization Size
13.4.11.3 Vietnam Enterprise Artificial Intelligence Market By Technology Device
13.4.11.4 Vietnam Enterprise Artificial Intelligence Market By Application Area
13.4.11.5 Vietnam Enterprise Artificial Intelligence Market By End-use
13.4.12 Singapore
13.4.12.1 Singapore Enterprise Artificial Intelligence Market By Deployment
13.4.12.2 Singapore Enterprise Artificial Intelligence Market By Organization Size
13.4.12.3 Singapore Enterprise Artificial Intelligence Market By Technology Device
13.4.12.4 Singapore Enterprise Artificial Intelligence Market By Application Area
13.4.12.5 Singapore Enterprise Artificial Intelligence Market By End-use
13.4.13 Australia
13.4.13.1 Australia Enterprise Artificial Intelligence Market By Deployment
13.4.13.2 Australia Enterprise Artificial Intelligence Market By Organization Size
13.4.13.3 Australia Enterprise Artificial Intelligence Market By Technology Device
13.4.13.4 Australia Enterprise Artificial Intelligence Market By Application Area
13.4.13.5 Australia Enterprise Artificial Intelligence Market By End-use
13.4.14 Rest of Asia-Pacific
13.4.14.1 APAC Enterprise Artificial Intelligence Market By Deployment
13.4.14.2 APAC Enterprise Artificial Intelligence Market By Organization Size
13.4.14.3 APAC Enterprise Artificial Intelligence Market By Technology Device
13.4.14.4 APAC Enterprise Artificial Intelligence Market By Application Area
13.4.14.5 APAC Enterprise Artificial Intelligence Market By End-use
13.5 The Middle East & Africa
13.5.1 Middle East
13.5.1.1 Middle East Enterprise Artificial Intelligence Market By country
13.5.1.2 Middle East Enterprise Artificial Intelligence Market By Deployment
13.5.1.3 Middle East Enterprise Artificial Intelligence Market By Organization Size
13.5.1.4 Middle East Enterprise Artificial Intelligence Market By Technology Device
13.5.1.5 Middle East Enterprise Artificial Intelligence Market By Application Area
13.5.1.6 Middle East Enterprise Artificial Intelligence Market By End-use
13.5.1.7 UAE
13.5.1.7.1 UAE Enterprise Artificial Intelligence Market By Deployment
13.5.1.7.2 UAE Enterprise Artificial Intelligence Market By Organization Size
13.5.1.7.3 UAE Enterprise Artificial Intelligence Market By Technology Device
13.5.1.7.4 UAE Enterprise Artificial Intelligence Market By Application Area
13.5.1.7.5 UAE Enterprise Artificial Intelligence Market By End-use
13.5.1.8 Egypt
13.5.1.8.1 Egypt Enterprise Artificial Intelligence Market By Deployment
13.5.1.8.2 Egypt Enterprise Artificial Intelligence Market By Organization Size
13.5.1.8.3 Egypt Enterprise Artificial Intelligence Market By Technology Device
13.5.1.8.4 Egypt Enterprise Artificial Intelligence Market By Application Area
13.5.1.8.5 Egypt Enterprise Artificial Intelligence Market By End-use
13.5.1.9 Saudi Arabia
13.5.1.9.1 Saudi Arabia Enterprise Artificial Intelligence Market By Deployment
13.5.1.9.2 Saudi Arabia Enterprise Artificial Intelligence Market By Organization Size
13.5.1.9.3 Saudi Arabia Enterprise Artificial Intelligence Market By Technology Device
13.5.1.9.4 Saudi Arabia Enterprise Artificial Intelligence Market By Application Area
13.5.1.9.5 Saudi Arabia Enterprise Artificial Intelligence Market By End-use
13.5.1.10 Qatar
13.5.1.10.1 Qatar Enterprise Artificial Intelligence Market By Deployment
13.5.1.10.2 Qatar Enterprise Artificial Intelligence Market By Organization Size
13.5.1.10.3 Qatar Enterprise Artificial Intelligence Market By Technology Device
13.5.1.10.4 Qatar Enterprise Artificial Intelligence Market By Application Area
13.5.1.10.5 Qatar Enterprise Artificial Intelligence Market By End-use
13.5.1.11 Rest of Middle East
13.5.1.11.1 Rest of Middle East Enterprise Artificial Intelligence Market By Deployment
13.5.1.11.2 Rest of Middle East Enterprise Artificial Intelligence Market By Organization Size
13.5.1.11.3 Rest of Middle East Enterprise Artificial Intelligence Market By Technology Device
13.5.1.11.4 Rest of Middle East Enterprise Artificial Intelligence Market By Application Area
13.5.1.11.5 Rest of Middle East Enterprise Artificial Intelligence Market By End-use
13.5.2 Africa
13.5.2.1 Africa Enterprise Artificial Intelligence Market By Country
13.5.2.2 Africa Enterprise Artificial Intelligence Market By Deployment
13.5.2.3 Africa Enterprise Artificial Intelligence Market By Organization Size
13.5.2.4 Africa Enterprise Artificial Intelligence Market By Technology Device
13.5.2.5 Africa Enterprise Artificial Intelligence Market By Application Area
13.5.2.6 Africa Enterprise Artificial Intelligence Market By End-use
13.5.2.7 Nigeria
13.5.2.7.1 Nigeria Enterprise Artificial Intelligence Market By Deployment
13.5.2.7.2 Nigeria Enterprise Artificial Intelligence Market By Organization Size
13.5.2.7.3 Nigeria Enterprise Artificial Intelligence Market By Technology Device
13.5.2.7.4 Nigeria Enterprise Artificial Intelligence Market By Application Area
13.5.2.7.5 Nigeria Enterprise Artificial Intelligence Market By End-use
13.5.2.8 South Africa
13.5.2.8.1 South Africa Enterprise Artificial Intelligence Market By Deployment
13.5.2.8.2 South Africa Enterprise Artificial Intelligence Market By Organization Size
13.5.2.8.3 South Africa Enterprise Artificial Intelligence Market By Technology Device
13.5.2.8.4 South Africa Enterprise Artificial Intelligence Market By Application Area
13.5.2.8.5 South Africa Enterprise Artificial Intelligence Market By End-use
13.5.2.9 Rest of Africa
13.5.2.9.1 Rest of Africa Enterprise Artificial Intelligence Market By Deployment
13.5.2.9.2 Rest of Africa Enterprise Artificial Intelligence Market By Organization Size
13.5.2.9.3 Rest of Africa Enterprise Artificial Intelligence Market By Technology Device
13.5.2.9.4 Rest of Africa Enterprise Artificial Intelligence Market By Application Area
13.5.2.9.5 Rest of Africa Enterprise Artificial Intelligence Market By End-use
13.6 Latin America
13.6.1 Latin America Enterprise Artificial Intelligence Market By Country
13.6.2 Latin America Enterprise Artificial Intelligence Market By Deployment
13.6.3 Latin America Enterprise Artificial Intelligence Market By Organization Size
13.6.4 Latin America Enterprise Artificial Intelligence Market By Technology Device
13.6.5 Latin America Enterprise Artificial Intelligence Market By Application Area
13.6.6 Latin America Enterprise Artificial Intelligence Market By End-use
13.6.7 Brazil
13.6.7.1 Brazil Enterprise Artificial Intelligence Market By Deployment
13.6.7.2 Brazil Africa Enterprise Artificial Intelligence Market By Organization Size
13.6.7.3Brazil Enterprise Artificial Intelligence Market By Technology Device
13.6.7.4 Brazil Enterprise Artificial Intelligence Market By Application Area
13.6.7.5 Brazil Enterprise Artificial Intelligence Market By End-use
13.6.8 Argentina
13.6.8.1 Argentina Enterprise Artificial Intelligence Market By Deployment
13.6.8.2 Argentina Enterprise Artificial Intelligence Market By Organization Size
13.6.8.3 Argentina Enterprise Artificial Intelligence Market By Technology Device
13.6.8.4 Argentina Enterprise Artificial Intelligence Market By Application Area
13.6.8.5 Argentina Enterprise Artificial Intelligence Market By End-use
13.6.9 Colombia
13.6.9.1 Colombia Enterprise Artificial Intelligence Market By Deployment
13.6.9.2 Colombia Enterprise Artificial Intelligence Market By Organization Size
13.6.9.3 Colombia Enterprise Artificial Intelligence Market By Technology Device
13.6.9.4 Colombia Enterprise Artificial Intelligence Market By Application Area
13.6.9.5 Colombia Enterprise Artificial Intelligence Market By End-use
13.6.10 Rest of Latin America
13.6.10.1 Rest of Latin America Enterprise Artificial Intelligence Market By Deployment
13.6.10.2 Rest of Latin America Enterprise Artificial Intelligence Market By Organization Size
13.6.10.3 Rest of Latin America Enterprise Artificial Intelligence Market By Technology Device
13.6.10.4 Rest of Latin America Enterprise Artificial Intelligence Market By Application Area
13.6.10.5 Rest of Latin America Enterprise Artificial Intelligence Market By End-use

14. Company Profile
14.1 SAP SE
14.1.1 Company Overview
14.1.2 Financials
14.1.3 Product/Services/Offerings
14.1.4 SWOT Analysis
14.1.5 The SNS View
14.2 DataRobot, Inc.
14.2.1 Company Overview
14.2.2 Financials
14.2.3 Product/Services/Offerings
14.2.4 SWOT Analysis
14.2.5 The SNS View
14.3 Microsoft Corporation.
14.3.1 Company Overview
14.3.2 Financials
14.3.3 Product/Services/Offerings
14.3.4 SWOT Analysis
14.3.5 The SNS View
14.4 Oracle Corporation.
14.4.1 Company Overview
14.4.2 Financials
14.4.3 Product/Services/Offerings
14.4.4 SWOT Analysis
14.4.5 The SNS View
14.5 NVidia Corporation
14.5.1 Company Overview
14.5.2 Financials
14.5.3 Product/Services/Offerings
14.5.4 SWOT Analysis
14.5.5 The SNS View
14.6 Amazon Web Services, Inc.
14.6.1 Company Overview
14.6.2 Financials
14.6.3 Product/Services/Offerings
14.6.4 SWOT Analysis
14.6.5 The SNS View
14.7 Intel Corporation
14.7.1 Company Overview
14.7.2 Financials
14.7.3 Product/Services/Offerings
14.7.4 SWOT Analysis
14.7.5 The SNS View
14.8 Hewlett Packard Enterprise.
14.8.1 Company Overview
14.8.2 Financials
14.8.3 Product/Services/Offerings
14.8.4 SWOT Analysis
14.8.5 The SNS View
14.9 IBM Corporation.
14.9.1 Company Overview
14.9.2 Financials
14.9.3 Product/Services/Offerings
14.9.4 SWOT Analysis
14.9.5 The SNS View
14.10 C3.ai, Inc.
14.10.1 Company Overview
14.10.2 Financials
14.10.3 Product/Services/Offerings
14.10.4 SWOT Analysis
14.10.5 The SNS View

15. Competitive Landscape
15.1 Competitive Benchmarking
15.2 Market Share Analysis
15.3 Recent Developments
15.3.1 Industry News
15.3.2 Company News
15.3.3 Mergers & Acquisitions

16. USE Cases and Best Practices

17. 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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