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AI Builder Market Outlook (2023 to 2033)

Global AI builder sales revenue is estimated to reach US$ 5.1 billion in 2023. The market is likely to surpass US$ 20.1 billion by 2033. From 2023 to 2033, global AI builder demand is forecast to surge at an impressive CAGR of 31.1%.

From once a science fiction to now a reality, the role of artificial intelligence (AI) is rapidly rising in the modern tech-driven world. It is becoming an indispensable part of our everyday experiences.

Artificial intelligence plays a key role in delivering intelligent assistance during interaction with technology. This revolutionary technology has the potential to allow businesses to automate their processes, make better decisions, and improve efficiency.

A power platform capability that delivers AI models designed to optimize business processes is known as an AI builder. Adoption of AI builder allows businesses to use intelligence to automate processes and get insights from their data in Power Automate and Power Apps.

AI builder platforms provide a low-code user experience for developers to develop and customize their Flows and Power Apps. Thanks to AI builders, introducing artificial intelligence into projects without requiring coding experts has become possible.

Growing adoption of AI builder solutions across various industries to speed up processes, improve performance, and predict outcomes through AI insights is expected to boost the global market.

In recent years, there has been a dramatic increase in adoption of AI technologies globally. For instance, as per IBM’s reports, in 2022, global AI adoption rate increased by 35%. Around 35% of companies today are using AI while 42% of companies are exploring AI. This will boost sales in the global AI builder industry.

AI builder solutions are being used by businesses for optimizing and automating business processes. They eliminate the need for coding or data science skills by bringing the power of AI through a point-and-check experience.

The market growth is being propelled by rising penetration of digitalization and an increasing focus on workflow automation.

The adoption of AI builders for workflow automation is increasing as businesses are looking for ways to streamline their processes and improve productivity. AI builders can help automate processes that are repetitive and time-consuming, allowing employees to focus on more strategic tasks.

AI helps in identifying patterns and anomalies in data that humans may not be able to detect, leading to better decision-making and improved outcomes. Hence, usage of AI technologies can allow businesses to reduce errors and improve accuracy. These advantages will fuel adoption of AI builders which will eventually boost global AI builder sales revenues.

Attribute Details
Estimated Global AI Builder Market Size (2023) US$ 5.1 billion
Projected AI Builder Market Value (2033) US$ 20.1 billion
Value-based CAGR (2023 to 2033) 31.1%

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Other Drivers Propelling the Demand for AI Builder include

  • Rising applications of AI builders in process automation is expected to elevate demand.
  • Growing need for chatbots in customer service, driven by the need for 24/7 support, cost savings, and improved customer experiences through personalized interactions and voice-based assistants, will boost the market.
  • Increasing investment due to favorable regulatory practices in AI research and development is expected to lead to advancements in AI technology, providing businesses with innovation opportunities.
  • Rising need for predictive analytics to make data-driven decisions and gain insights into customer behavior and market trends is likely to elevate demand for AI builders.

Challenges for Companies /Manufacturers in the AI Builder Industry

  • Security concerns around AI technology and data privacy are significant challenges for vendors, as AI solutions often deal with sensitive data and require robust security measures to protect against cyber threats.
  • Dependence on third-party providers for AI infrastructure and tools can lead to increased costs, potential security risks, and limited customization options for AI solutions, hindering growth.
  • Market vendors also witness issues surrounding layman understanding and transparency in AI decision-making.
  • Need for responsible AI frameworks and governance structure is another market restraining factor.
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Opportunities in the AI Builder Industry

  • Rising demand for real-time data processing, predictive maintenance, and intelligent automation of IoT devices & systems will encourage adoption of AI-powered edge solutions.
  • AI builders have opportunities to improve the sports industry through the use of technologies such as wearable devices, video analysis, and athlete tracking, which can enhance training and performance, as well as prevent injuries.
  • The finance and banking industry presents a range of opportunities for AI builders, including the development of fraud detection and risk assessment systems, which can help improve customer satisfaction and operational efficiency in the industry.
  • Growing popularity of generative AI, especially across emerging nations will create new opportunities for companies.
  • Advancements in low-code technology will support market expansion.

Latest Trends in the AI Builder Market

  • AI adoption in agriculture for crop yield prediction and soil analysis is a trending area due to the increasing demand to optimize crop production, decrease wastage, and guarantee food security against global population growth and climate change.
  • The integration of AI with other emerging technologies such as IoT, blockchain, and 5G is driving the development of new use cases and applications, such as AI-powered smart cities, autonomous vehicles, and industrial IoT.
  • The use of AI for predicting equipment failure, optimizing energy consumption, and improving the efficiency of renewable energy sources for a greener future will boost the market.

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2018 to 2022 AI Builder Sales Outlook Compared to Demand Forecast from 2023 to 2033

As per Future Market Insights’ (FMI) latest analysis, from 2018 to 2022, the global market for AI builders experienced a CAGR of 26.7%. Looking ahead, global AI builder sales are expected to rise at a CAGR of 31.1% from 2023 to 2033.

Growth in the market is driven by increasing adoption of AI solutions across various industries and advancements in machine learning algorithms and natural language processing.

The availability of big data and growing demand for automation and digital transformation will also boost the global market.

The emergence of low-code and no-code AI development platforms has made it easier for businesses to adopt and integrate AI solutions, even without deep technical expertise. This in turn is supporting the expansion of the AI builder industry.

Growing demand for automation and efficiency in business processes and advancements in Ai builder solutions are likely to create lucrative opportunities for AI builders.

Comparative View of the AI Builder Market

AI Builder Market:

Attributes AI Builder Market
CAGR (2023 to 2033) 31.1%
Market Value (2033) US$ 20.1 billion
Opportunity Widening applications of AI technologies across several industries is expected to create a plethora of opportunities for market expansion.
Key Trends The integration of AI with other emerging technologies such as IoT, blockchain, and 5G will boost the market.

Codeless Testing Market:

Attributes Codeless Testing Market
CAGR (2023 to 2033) 15.6%
Market Value (2033) US$ 8.6 billion
Opportunity The rise of DevOps practices and Agile methodologies is expected to create a demand for codeless testing solutions that can integrate seamlessly with these workflows.
Key Trends Growing demand for AI and machine learning-powered testing solutions to improve test automation, test case generation, and defect detection and analysis will boost the market.

Low Code Development Platform Market:

Attributes Low Code Development Platform Market
CAGR (2023 to 2033) 28.4%
Market Value (2033) US$ 259.922 billion
Opportunity Digital transformation across numerous industries is expected to encourage the adoption of low code development platforms.
Key Trends High penetration of AI technologies and adoption of cloud-based low-code platforms are likely to boost the market.

Country-wise Insights

Why is the United States Considered a Prominent AI Builder Market?

United States to Witness Steady Growth due to Favorable Technology & Innovation Ecosystem

Attribute Details
Country United States
Market Size (US$ billion) by End of Forecast Period (2033) US$ 5.09 billion
CAGR % from 2023 to End of Forecast (2033) 32.9%

The United States AI builder market is projected to reach a valuation of US$ 5.09 billion by 2033. From 2023 to 2033, AI builder demand in the country is likely to soar at a CAGR of 32.9%.

Strong presence of large enterprises and technological innovations in AI models are key factors driving the United States Market.

Expansion of industries, such as healthcare, finance, and manufacturing, is creating significant demand for AI builder solutions. This is because they can help to improve efficiency, reduce costs, and drive innovation.

What is Driving AI Builder Demand in the United Kingdom?

Increasing Government Initiatives Fueling AI Builder Demand in the United Kingdom

Attribute Details
Country The United Kingdom
Market Size (US$ billion) by End of Forecast Period (2033) US$ 0.73 billion
CAGR % from 2023 to End of Forecast (2033) 27.4%

AI builder demand in the United Kingdom is forecast to rise at 27.2% CAGR between 2023 and 2033. By 2033, total market valuation is expected to reach US$ 0.73 billion.

The United Kingdom market is projected to experience growth as the government has recognized the potential of AI. It is taking steps to promote adoption of AI through initiatives such as the AI Sector Deal and the establishment of the Centre for Data Ethics and Innovation.

Rising popularity of AI technologies due to their various benefits will further boost the United Kingdom market.

Why is China Emerging as a Lucrative Market for AI Builder Companies?

Increasing Demand for AI-powered Products and Services Making China a Lucrative Market

Attribute Details
Country China
Market Size (US$ billion) by End of Forecast Period (2033) US$ 2.7 billion
CAGR % from 2023 to End of Forecast (2033) 33.6%

China AI builder industry is anticipated to reach a valuation of US$ 2.7 billion by 2033. It is forecast to exhibit an impressive CAGR of 33.6% during the forecast period.

Growth in China market is expected to be driven by increasing demand for AI-powered products and services among large and rapidly growing middle class. This includes smart homes, autonomous vehicles, and intelligent personal assistants

What is Growth Projection for India Market?

Growing Need for Customized Market Analytics & Solutions to Boost India AI Builder Industry

Attribute Details
Country India
Market Size (US$ billion) by End of Forecast Period (2033) US$ 0.93 billion
CAGR % from 2023 to End of Forecast (2033) 35.8%

The AI builder industry in India is forecast to exceed a valuation of US$ 0.93 billion by the end of 2033. Total AI builder sales revenue in India is expected to surge at a CAGR of around 35.8% during the forecast period.

Increasing adoption of AI-powered solutions by businesses to enhance their operations, reduce costs, and increase efficiency is a prominent factor driving India market.

AI builders can provide customized solutions that meet the specific needs of different businesses. Growing awareness about the advantages of AI builder solutions will thus play a key role in boosting India market.

Category-wise Insights

Which Type of AI Builder will Lead the Global Market?

Conversational AI Builder to Dominate the AI Builder Industry Through 2033

As per Future Market Insights (FMI), conversational AI builder segment is expected to dominate the global market during the forecast period. Demand for conversational AI builders is likely to surge at 28.7% CAGR from 2023 to 2033.

Growing applications of conversational artificial intelligence technologies such as chatbots across various industries is driving growth of the target segment.

Conversational AI is integrated with various other technologies, such as natural language processing (NLP), machine learning (ML), and voice recognition, to provide even more powerful and customized solutions.

Conversational AI automates several routine tasks, such as customer service and support, freeing up staff to focus on more complex and valuable tasks. This leads to cost savings and improved efficiency for businesses.

Which is the Leading End-use Industry for AI Builder Solutions?

Healthcare Sector to Remain Leading End-user of AI Builder Solutions

The healthcare industry is expected to remain the leading end user of AI builders. It is forecast to exhibit a CAGR of 33.6% from 2023 to 2033. This segment captures a significant market share in 2023 due to the potential for AI to improve patient outcomes, reduce costs, and enhance the efficiency of medical research.

Healthcare generates a lot of data, and AI builder solutions can help healthcare providers analyze and interpret this data to improve patient outcomes, reduce costs, and enhance the efficiency of medical research.

Applications of AI in healthcare include medical imaging, electronic health records, drug discovery, and personalized medicine. Hence, rising applications in healthcare industry will create lucrative opportunities for AI builders.

How Key Players Stay Competitive in the AI Builder Industry?

The AI builder industry is becoming extremely competitive due to presence of numerous players. In such a scenario, key players must adopt effective strategies to stay ahead of the competition.

Key Strategies Adopted by the Players

  • Product Innovation

Key companies are focusing on expanding their portfolios to meet changing end user demand. They are vigorously investing hugely in research and development to introduce innovative solutions. This will enable them to differentiate themselves from their competitors and cater to the evolving needs of customers.

  • Strategic Partnerships and Collaborations

Leading AI builders often form strategic partnerships and collaborations with other companies to leverage their strengths and expand their reach in the market. This will also help them to gain access to new technologies and markets.

  • Expansion into Emerging Markets

The AI builder industry is witnessing significant expansion in emerging markets such as India and China. Key companies are expanding their presence in these markets by establishing local technology delivery centers and strengthening their channel partner networks.

  • Mergers and Acquisitions

To consolidate their market position and gain access to new markets, players also engage in mergers and acquisitions

Key Players in the AI Builder Industry

  • Microsoft Corporation
  • IBM Corporation
  • Google LLC
  • Amazon Web Services
  • Salesforce.com

Key Developments in the Market:

  • In March 2023, Microsoft announced that the ChatGPT platform will now be integrated with more applications, including Microsoft Teams, Dynamics 365, and Power Apps, allowing for more seamless integration of chatbots into various workflows.
  • In April 2023, TimeXtender, a Danish software company, announced its acquisition of Dutch analytics firm BI Builders to enhance its analytics capabilities by incorporating BI Builders' expertise in data management and visualization. TimeXtender plans to integrate BI Builders' services and solutions into its existing Discovery Hub platform.
  • In December 2021, Automation Anywhere acquired FortressIQ, a process discovery and analytics platform provider. The acquisition aims to help Automation Anywhere customers to accelerate their automation initiatives and to improve their overall business process insights.
  • In May 2023, a new artificial intelligence and data platform was unveiled by IBM Corporation to allow businesses to accelerate the impact of advanced AI with trusted data.

Scope of the Report

Attribute Details
Estimated Market Size (2023) US$ 5.1 billion
Projected Market Size (2033) US$ 20.1 billion
Anticipated Growth Rate (2023 to 2033) 31.1% CAGR
Forecast Period 2023 to 2033
Historical Data Available for 2018 to 2022
Market Analysis US$ billion for Value and MT for Volume
Key Regions Covered North America, Latin America, Europe, Asia Pacific, and Middle East and Africa
Key Countries Covered United States, Canada, Mexico, Brazil, Germany, Italy, France, United Kingdom, Spain, BENELUX, Russia, China, Japan, South Korea, India, ASEAN, Australia and New Zealand, Türkiye, South Africa, GCC Countries, and Others.
Key Segments Covered Type, Deployment, Enterprise Size, Industry, and Region
Key Companies Profiled
  • Microsoft Corporation
  • IBM Corporation
  • Google LLC
  • Amazon Web Services
  • Salesforce.com

AI Builder Market Segmentation

By Type:

  • Conversational AI Builder
  • Predictive AI Builder
  • Chatbot Builders
  • Workflow Automation Builders
  • Others

By Deployment:

  • On-Premises
  • Cloud-Based

By Enterprise Size:

  • Small Enterprises
  • Medium Enterprises
  • Large Enterprises

By Industry:

  • Healthcare
  • BFSI
  • IT & Telecom
  • Manufacturing
  • Government
  • Retail & Consumer Goods
  • Others

By Region:

  • North America
  • Latin America
  • Europe
  • East Asia
  • South Asia & Pacific
  • The Middle East & Africa

Frequently Asked Questions

How has the market for AI builders done in the past?

From 2018 to 2022, the global market evolved at a 26.7% HCAGR.

What is the market's CAGR of growth?

The market to continue to evolve at a 31.1% CAGR through 2033.

How big will the market be in 2033?

The global market has the potential to be worth US$ 20.1 billion by 2033.

What is the current market value of the AI builder market?

By 2023, the market to have achieved US$ 5.1 billion in sales.

What is the anticipated CAGR for the United States market?

AI builder demand in the United States is predicted to increase at a CAGR of 32.9% between 2023 and 2033.

Table of Content

1. Executive Summary

    1.1. Global Market Outlook

    1.2. Demand Side Trends

    1.3. Supply Side Trends

    1.4. Analysis and Recommendations

2. Market Overview

    2.1. Market Coverage / Taxonomy

    2.2. Market Definition / Scope / Limitations

3. Key Market Trends

    3.1. Key Trends Impacting the Market

    3.2. AI technology Innovation / Development Trends

4. Pricing Analysis

    4.1. Pricing Analysis, By Pricing Model

        4.1.1. Subscription Pricing Model

        4.1.2. Perpetual Licensing

    4.2. Average Pricing Analysis Benchmark

5. Global Market Demand (in Value in US$ million) Analysis 2018 to 2022 and Forecast, 2023 to 2033

    5.1. Historical Market Value (US$ million) Analysis, 2018 to 2022

    5.2. Current and Future Market Value (US$ million) Projections, 2023 to 2033

        5.2.1. Y-o-Y Growth Trend Analysis

        5.2.2. Absolute $ Opportunity Analysis

6. Market Background

    6.1. Macro-Economic Factors

    6.2. Forecast Factors - Relevance & Impact

    6.3. Value Chain

    6.4. COVID-19 Crisis - Impact Assessment

        6.4.1. Current Statistics

        6.4.2. Short-Mid-Long Term Outlook

        6.4.3. Likely Rebound

    6.5. Market Dynamics

        6.5.1. Drivers

        6.5.2. Restraints

        6.5.3. Opportunities

7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Type

    7.1. Introduction / Key Findings

    7.2. Historical Market Size (US$ million) Analysis By Type, 2018 to 2022

    7.3. Current and Future Market Size (US$ million) Analysis and Forecast By Type, 2023 to 2033

        7.3.1. Conversational

        7.3.2. Predictive

        7.3.3. Chatbot Builders

        7.3.4. Workflow Automation Builders

        7.3.5. Others

    7.4. Market Attractiveness Analysis By Type

8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Deployment Mode

    8.1. Introduction / Key Findings

    8.2. Historical Market Size (US$ million) Analysis By Deployment Mode, 2018 to 2022

    8.3. Current and Future Market Size (US$ million) Analysis and Forecast By Deployment Mode, 2023 to 2033

        8.3.1. On-Premises

        8.3.2. Cloud-Based

    8.4. Market Attractiveness Analysis By Deployment Mode

9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Enterprise Size

    9.1. Introduction / Key Findings

    9.2. Historical Market Size (US$ million) Analysis By Enterprise Size, 2018 to 2022

    9.3. Current and Future Market Size (US$ million) Analysis and Forecast By Enterprise Size, 2023 to 2033

        9.3.1. Small Enterprises

        9.3.2. Medium Enterprises

        9.3.3. Large Enterprises

    9.4. Market Attractiveness Analysis By Enterprise Size

10. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Industry

    10.1. Introduction / Key Findings

    10.2. Historical Market Size (US$ million) Analysis By Industry, 2018 to 2022

    10.3. Current and Future Market Size (US$ million) Analysis and Forecast By Industry, 2023 to 2033

        10.3.1. Healthcare

        10.3.2. BFSI

        10.3.3. IT & Telecom

        10.3.4. Manufacturing

        10.3.5. Government

        10.3.6. Retail & Consumer Goods

        10.3.7. Others

    10.4. Market Attractiveness Analysis By Industry

11. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Region

    11.1. Introduction / Key Findings

    11.2. Historical Market Size (US$ million) Analysis By Region, 2018 to 2022

    11.3. Current and Future Market Size (US$ million) Analysis and Forecast By Region, 2023 to 2033

        11.3.1. North America

        11.3.2. Latin America

        11.3.3. East Asia

        11.3.4. South Asia & Pacific

        11.3.5. Western Europe

        11.3.6. Eastern Europe

        11.3.7. Central Asia

        11.3.8. Russia & Belarus

        11.3.9. Balkan & Baltics

        11.3.10. Middle East & Africa

    11.4. Market Attractiveness Analysis By Region

12. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033

    12.1. Introduction

    12.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022

    12.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033

        12.3.1. By Type

        12.3.2. By Deployment Mode

        12.3.3. By Enterprise Size

        12.3.4. By Industry

        12.3.5. By Country

            12.3.5.1. United States

            12.3.5.2. Canada

    12.4. Market Attractiveness Analysis

        12.4.1. By Type

        12.4.2. By Deployment Mode

        12.4.3. By Enterprise Size

        12.4.4. By Industry

        12.4.5. By Country

13. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033

    13.1. Introduction

    13.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022

    13.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033

        13.3.1. By Type

        13.3.2. By Deployment Mode

        13.3.3. By Enterprise Size

        13.3.4. By Industry

        13.3.5. By Country

            13.3.5.1. Brazil

            13.3.5.2. Mexico

            13.3.5.3. Rest of Latin America

    13.4. Market Attractiveness Analysis

        13.4.1. By Type

        13.4.2. By Deployment Mode

        13.4.3. By Enterprise Size

        13.4.4. By Industry

        13.4.5. By Country

14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033

    14.1. Introduction

    14.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022

    14.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033

        14.3.1. By Type

        14.3.2. By Deployment Mode

        14.3.3. By Enterprise Size

        14.3.4. By Industry

        14.3.5. By Country

            14.3.5.1. China

            14.3.5.2. Japan

            14.3.5.3. South Korea

    14.4. Market Attractiveness Analysis

        14.4.1. By Type

        14.4.2. By Deployment Mode

        14.4.3. By Enterprise Size

        14.4.4. By Industry

        14.4.5. By Country

15. South Asia & Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033

    15.1. Introduction

    15.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022

    15.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033

        15.3.1. By Type

        15.3.2. By Deployment Mode

        15.3.3. By Enterprise Size

        15.3.4. By Industry

        15.3.5. By Country

            15.3.5.1. India

            15.3.5.2. Indonesia

            15.3.5.3. Malaysia

            15.3.5.4. Singapore

            15.3.5.5. Australia & New Zealand

            15.3.5.6. Rest of South Asia and Pacific

    15.4. Market Attractiveness Analysis

        15.4.1. By Type

        15.4.2. By Deployment Mode

        15.4.3. By Enterprise Size

        15.4.4. By Industry

        15.4.5. By Country

16. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033

    16.1. Introduction

    16.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022

    16.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033

        16.3.1. By Type

        16.3.2. By Deployment Mode

        16.3.3. By Enterprise Size

        16.3.4. By Industry

        16.3.5. By Country

            16.3.5.1. Germany

            16.3.5.2. Italy

            16.3.5.3. France

            16.3.5.4. United Kingdom

            16.3.5.5. Spain

            16.3.5.6. BENELUX

            16.3.5.7. Russia

            16.3.5.8. Rest of Europe

    16.4. Market Attractiveness Analysis

        16.4.1. By Type

        16.4.2. By Deployment Mode

        16.4.3. By Enterprise Size

        16.4.4. By Industry

        16.4.5. By Country

17. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033

    17.1. Introduction

    17.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022

    17.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033

        17.3.1. By Type

        17.3.2. By Deployment Mode

        17.3.3. By Enterprise Size

        17.3.4. By Industry

        17.3.5. By Country

            17.3.5.1. Poland

            17.3.5.2. Hungary

            17.3.5.3. Romania

            17.3.5.4. Czech Republic

            17.3.5.5. Rest of Eastern Europe

    17.4. Market Attractiveness Analysis

        17.4.1. By Type

        17.4.2. By Deployment Mode

        17.4.3. By Enterprise Size

        17.4.4. By Industry

        17.4.5. By Country

18. Central Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033

    18.1. Introduction

    18.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022

    18.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033

        18.3.1. By Type

        18.3.2. By Deployment Mode

        18.3.3. By Enterprise Size

        18.3.4. By Industry

    18.4. Market Attractiveness Analysis

        18.4.1. By Type

        18.4.2. By Deployment Mode

        18.4.3. By Enterprise Size

        18.4.4. By Industry

19. Russia & Belarus Market Analysis 2018 to 2022 and Forecast 2023 to 2033

    19.1. Introduction

    19.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022

    19.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033

        19.3.1. By Type

        19.3.2. By Deployment Mode

        19.3.3. By Enterprise Size

        19.3.4. By Industry

    19.4. Market Attractiveness Analysis

        19.4.1. By Type

        19.4.2. By Deployment Mode

        19.4.3. By Enterprise Size

        19.4.4. By Industry

20. Balkan & Baltics Market Analysis 2018 to 2022 and Forecast 2023 to 2033

    20.1. Introduction

    20.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022

    20.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033

        20.3.1. By Type

        20.3.2. By Deployment Mode

        20.3.3. By Enterprise Size

        20.3.4. By Industry

    20.4. Market Attractiveness Analysis

        20.4.1. By Type

        20.4.2. By Deployment Mode

        20.4.3. By Enterprise Size

        20.4.4. By Industry

21. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033

    21.1. Introduction

    21.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022

    21.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033

        21.3.1. By Type

        21.3.2. By Deployment Mode

        21.3.3. By Enterprise Size

        21.3.4. By Industry

        21.3.5. By Country

            21.3.5.1. GCC Countries

            21.3.5.2. Turkiye

            21.3.5.3. South Africa

            21.3.5.4. Rest of Middle East and Africa

    21.4. Market Attractiveness Analysis

        21.4.1. By Type

        21.4.2. By Deployment Mode

        21.4.3. By Enterprise Size

        21.4.4. By Industry

        21.4.5. By Country

22. Key Countries Analysis- Market

    22.1. United States Market Analysis

        22.1.1. By Type

        22.1.2. By Deployment Mode

        22.1.3. By Enterprise Size

        22.1.4. By Industry

    22.2. Canada Market Analysis

        22.2.1. By Type

        22.2.2. By Deployment Mode

        22.2.3. By Enterprise Size

        22.2.4. By Industry

    22.3. Mexico Market Analysis

        22.3.1. By Type

        22.3.2. By Deployment Mode

        22.3.3. By Enterprise Size

        22.3.4. By Industry

    22.4. Brazil Market Analysis

        22.4.1. By Type

        22.4.2. By Deployment Mode

        22.4.3. By Enterprise Size

        22.4.4. By Industry

    22.5. Germany Market Analysis

        22.5.1. By Type

        22.5.2. By Deployment Mode

        22.5.3. By Enterprise Size

        22.5.4. By Industry

    22.6. Italy Market Analysis

        22.6.1. By Type

        22.6.2. By Deployment Mode

        22.6.3. By Enterprise Size

        22.6.4. By Industry

    22.7. France Market Analysis

        22.7.1. By Type

        22.7.2. By Deployment Mode

        22.7.3. By Enterprise Size

        22.7.4. By Industry

    22.8. United Kingdom Market Analysis

        22.8.1. By Type

        22.8.2. By Deployment Mode

        22.8.3. By Enterprise Size

        22.8.4. By Industry

    22.9. Spain Market Analysis

        22.9.1. By Type

        22.9.2. By Deployment Mode

        22.9.3. By Enterprise Size

        22.9.4. By Industry

    22.10. BENELUX Market Analysis

        22.10.1. By Type

        22.10.2. By Deployment Mode

        22.10.3. By Enterprise Size

        22.10.4. By Industry

    22.11. Russia Market Analysis

        22.11.1. By Type

        22.11.2. By Deployment Mode

        22.11.3. By Enterprise Size

        22.11.4. By Industry

    22.12. China Market Analysis

        22.12.1. By Type

        22.12.2. By Deployment Mode

        22.12.3. By Enterprise Size

        22.12.4. By Industry

    22.13. Japan Market Analysis

        22.13.1. By Type

        22.13.2. By Deployment Mode

        22.13.3. By Enterprise Size

        22.13.4. By Industry

    22.14. South Korea Market Analysis

        22.14.1. By Type

        22.14.2. By Deployment Mode

        22.14.3. By Enterprise Size

        22.14.4. By Industry

    22.15. India Market Analysis

        22.15.1. By Type

        22.15.2. By Deployment Mode

        22.15.3. By Enterprise Size

        22.15.4. By Industry

    22.16. Malaysia Market Analysis

        22.16.1. By Type

        22.16.2. By Deployment Mode

        22.16.3. By Enterprise Size

        22.16.4. By Industry

    22.17. Indonesia Market Analysis

        22.17.1. By Type

        22.17.2. By Deployment Mode

        22.17.3. By Enterprise Size

        22.17.4. By Industry

    22.18. Singapore Market Analysis

        22.18.1. By Type

        22.18.2. By Deployment Mode

        22.18.3. By Enterprise Size

        22.18.4. By Industry

    22.19. Australia and New Zealand Market Analysis

        22.19.1. By Type

        22.19.2. By Deployment Mode

        22.19.3. By Enterprise Size

        22.19.4. By Industry

    22.20. GCC Countries Market Analysis

        22.20.1. By Type

        22.20.2. By Deployment Mode

        22.20.3. By Enterprise Size

        22.20.4. By Industry

    22.21. Turkiye Market Analysis

        22.21.1. By Type

        22.21.2. By Deployment Mode

        22.21.3. By Enterprise Size

        22.21.4. By Industry

    22.22. South Africa Market Analysis

        22.22.1. By Type

        22.22.2. By Deployment Mode

        22.22.3. By Enterprise Size

        22.22.4. By Industry

    22.23. Rest of Middle East and Africa Market Analysis

        22.23.1. By Type

        22.23.2. By Deployment Mode

        22.23.3. By Enterprise Size

        22.23.4. By Industry

23. Market Structure Analysis

    23.1. Market Analysis by Tier of Companies

    23.2. Market Share Analysis of Top Players

    23.3. Market Presence Analysis

24. Competition Analysis

    24.1. Competition Dashboard

    24.2. Competition Benchmarking

    24.3. Competition Deep Dive

        24.3.1. Microsoft Corporation

            24.3.1.1. Business Overview

            24.3.1.2. Solution Portfolio

            24.3.1.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region)

            24.3.1.4. Key Strategy & Developments

        24.3.2. IBM Corporation

            24.3.2.1. Business Overview

            24.3.2.2. Solution Portfolio

            24.3.2.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region)

            24.3.2.4. Key Strategy & Developments

        24.3.3. Google LLC

            24.3.3.1. Business Overview

            24.3.3.2. Solution Portfolio

            24.3.3.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region)

            24.3.3.4. Key Strategy & Developments

        24.3.4. Amazon Web Deployment Mode, Inc.

            24.3.4.1. Business Overview

            24.3.4.2. Solution Portfolio

            24.3.4.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region)

            24.3.4.4. Key Strategy & Developments

        24.3.5. Salesforce.com, Inc.

            24.3.5.1. Business Overview

            24.3.5.2. Solution Portfolio

            24.3.5.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region)

            24.3.5.4. Key Strategy & Developments

        24.3.6. Oracle Corporation

            24.3.6.1. Business Overview

            24.3.6.2. Solution Portfolio

            24.3.6.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region)

            24.3.6.4. Key Strategy & Developments

        24.3.7. SAP SE

            24.3.7.1. Business Overview

            24.3.7.2. Solution Portfolio

            24.3.7.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region)

            24.3.7.4. Key Strategy & Developments

        24.3.8. Intel Corporation

            24.3.8.1. Business Overview

            24.3.8.2. Solution Portfolio

            24.3.8.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region)

            24.3.8.4. Key Strategy & Developments

        24.3.9. NVIDIA Corporation

            24.3.9.1. Business Overview

            24.3.9.2. Solution Portfolio

            24.3.9.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region)

            24.3.9.4. Key Strategy & Developments

        24.3.10. Infosys Limited

            24.3.10.1. Business Overview

            24.3.10.2. Solution Portfolio

            24.3.10.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region)

            24.3.10.4. Key Strategy & Developments

25. Assumptions and Acronyms Used

26. Research Methodology

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