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The Commercial Artificial Intelligence Market Size was valued at USD 2.28 Billion in 2023 and is expected to reach USD 39.39 Billion by 2032, and grow at a CAGR of 37.25% over the forecast period 2024-2032.
The commercial artificial intelligence (AI) market is on a significant growth trajectory, driven by innovations in machine learning, natural language processing, and automation technologies that enhance operational efficiencies across various sectors. Industries such as healthcare, finance, retail, and energy are leveraging AI to optimize their processes. For example, AI is transforming brewing by improving production efficiency and predicting consumer preferences. In energy, it fosters innovations in resource management, while the financial sector benefits from enhanced fraud detection and risk management, and retailers use AI to personalize customer experiences. Additionally, advancements in generative AI are revolutionizing contract management in banking, streamlining operations and improving efficiency.
The U.S. Department of Defense (DoD) has successfully deployed commercial AI solutions for Maritime Domain Awareness, enhancing unmanned and autonomous platform capabilities through Project Overmatch and the Defense Innovation Unit. By integrating AI-driven technologies, the DoD aims to maintain critical maritime navigation and improve operational efficiency in denied bandwidth environments. Key vendors, such as Ditto and Syntiant, demonstrated their capabilities, achieving significant advancements in real-time data sharing and mission autonomy. This initiative highlights the growing reliance on AI in defense operations.
Drivers
As consumers become more accustomed to personalized and efficient services, businesses are leveraging AI technologies to enhance customer engagement and improve operational efficiencies. Around 60% of smartphone users have reported engaging with voice assistants, which reflects their growing acceptance and integration into everyday life. This growth is largely attributed to rapid advancements in natural language processing and machine learning capabilities, which enable more sophisticated and user-friendly interactions. Companies that adopt these AI solutions not only improve their customer service but also position themselves competitively in an increasingly digital landscape. The urgency for businesses to implement AI technologies is further heightened by evolving customer expectations, as consumers seek seamless interactions across various platforms. As industries, continue to embrace these innovations, the potential for enhanced customer satisfaction and loyalty increases, ultimately driving business success. This trend highlights the critical need for organizations to stay ahead by integrating AI solutions that meet the growing demand for intuitive and responsive digital interactions. The combination of consumer adoption and technological advancements is set to shape the future of AI assistants and their role in the market.
Restraints
With AI systems increasingly reliant on vast amounts of data for training and operational purposes, concerns regarding data protection are escalating. A report highlighted that 80% of organizations experienced a data breach in the past year, underscoring the urgent need for stringent data privacy measures. Additionally, Hong Kong's privacy watchdog has signed a global guiding statement amid rising fears over AI data scraping, reflecting widespread apprehension about the potential misuse of personal data by AI technologies. This regulatory pressure can limit the ability of companies to leverage data effectively, slowing innovation and market growth. Moreover, the introduction of new language models, such as those from Mistral AI, showcases the transformative potential of AI; however, these innovations come with increased scrutiny regarding their data handling practices. Businesses must navigate complex legal frameworks to comply with regulations like GDPR, which imposes hefty fines for non-compliance, further complicating AI deployment. The result is a challenging landscape where organizations must balance the benefits of AI with the imperative to protect user data, leading to slower adoption rates and increased operational costs. Until comprehensive solutions to data privacy concerns are established, the AI market may face significant barriers to growth and widespread acceptance, ultimately limiting its potential impact across industries.
By Technology
In 2023, deep learning has emerged as the dominant technology segment within the commercial artificial intelligence (AI) market, capturing approximately 40% of the overall revenue. This growth can be attributed to deep learning's unparalleled ability to process vast amounts of data, facilitating more accurate predictions and decisions across various applications. Industries such as healthcare, finance, and automotive are leveraging deep learning for tasks ranging from medical image analysis to fraud detection and autonomous driving.
Recent advancements and product launches underscore this trend. For instance, major players like Google have developed sophisticated deep learning frameworks, such as Tensor Flow, which allows organizations to build and deploy machine learning models effectively. Additionally, NVIDIA has launched new graphics processing units (GPUs) optimized for deep learning tasks, significantly enhancing processing power and efficiency for developers. Moreover, companies like OpenAI are pushing the boundaries of deep learning with the release of advanced language models that improve natural language understanding and generation, enabling more intuitive human-computer interactions. Startups are also entering the space, focusing on niche applications of deep learning, such as AI-driven personal assistants and predictive analytics tools. This dynamic environment suggests a robust pipeline of innovation, with deep learning set to continue its trajectory as the cornerstone of AI development. As organizations increasingly recognize the strategic advantages of implementing deep learning solutions, the segment is poised for sustained growth, driving the overall expansion of the commercial artificial intelligence market.
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By Implementation
In 2023, cloud hosting emerged as a dominant force in the commercial artificial intelligence (AI) market, capturing around 76% of total revenue. This substantial share underscores the increasing adoption of cloud-based AI solutions, which offer businesses scalability, flexibility, and cost-efficiency. By leveraging cloud infrastructure, organizations can access powerful AI tools without significant upfront hardware investments, enabling the rapid deployment of AI applications. This trend is largely fueled by the exponential growth of data and the need for efficient processing capabilities. Leading cloud service providers, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, are continuously enhancing their AI service offerings, including features like natural language processing and predictive analytics. This evolution facilitates seamless integration of AI into existing operations, fostering innovation and competitiveness among businesses. Additionally, the rise of remote work and digital transformation has accelerated demand for cloud-hosted AI solutions, ensuring productivity and collaboration irrespective of location. As companies increasingly acknowledge the strategic benefits of cloud-based AI, this segment is poised for continued growth, reinforcing its essential role in driving innovation within the commercial artificial intelligence market.
In 2023, North America held the largest share of the commercial artificial intelligence (AI) market, accounting for approximately 46% of total revenue. This dominance can be attributed to several factors, including a robust technology infrastructure, significant investment in research and development, and a thriving startup ecosystem. The presence of major tech companies and AI innovators like Google, Microsoft, and Amazon enhances the region's competitive edge.
North America benefits from a high adoption rate of AI technologies across various industries, such as healthcare, finance, and retail, driving demand for advanced AI solutions. The increasing emphasis on digital transformation and data analytics is also fueling growth, as businesses seek to leverage AI for improved operational efficiency and enhanced customer experiences. Supportive government initiatives and funding for AI research contribute to the region's leadership in the commercial AI landscape. Overall, North America's strategic investments and innovative approaches position it as a pivotal player in the ongoing evolution of artificial intelligence.
In 2023, the Asia-Pacific region emerged as the fastest-growing market for commercial artificial intelligence (AI), driven by several key factors. Rapid industrialization and increasing digital transformation initiatives across countries like China, India, and Japan have led to heightened investments in AI technologies. The region's vast population and expanding internet penetration create a large consumer base for AI-driven applications, enhancing demand for personalized services. Governments in the Asia-Pacific are also prioritizing AI development through supportive policies and funding, fostering innovation in sectors such as healthcare, finance, and manufacturing. Major tech companies are actively establishing research centers and partnerships, further propelling growth. The combination of these factors positions Asia-Pacific as a critical player in the global AI landscape, with a trajectory set for continued expansion.
Some of the major key Players in Commercial Artificial Intelligence Market with product:
Google (Alphabet Inc.) (Google AI, TensorFlow)
Microsoft Corporation (Azure AI, Microsoft 365 AI)
IBM (Watson AI)
Amazon Web Services (AWS) (Amazon SageMaker, AWS AI Services)
Facebook (Meta Platforms, Inc.) (Facebook AI Research, PyTorch)
NVIDIA Corporation (NVIDIA Deep Learning AI, CUDA)
Salesforce (Salesforce Einstein)
Oracle Corporation (Oracle AI Cloud Services)
SAP SE (SAP AI Core and AI Foundation)
Baidu, Inc. (Baidu AI, DuerOS)
Tencent Holdings Ltd. (Tencent AI Lab)
Alibaba Group (Alibaba Cloud AI Services)
Intel Corporation (Intel AI Analytics Toolkit, OpenVINO)
Siemens AG (Siemens MindSphere)
C3.ai (C3 AI Suite)
Palantir Technologies (Palantir Foundry, Palantir Gotham)
Zoho Corporation (Zoho AI, Zia)
UiPath (UiPath RPA, AI Fabric)
OpenAI (ChatGPT, DALL-E)
Nuro (Autonomous Delivery Vehicles)
List of potential customer companies across various sectors that are likely to benefit from commercial artificial intelligence (AI) solutions:
Apple Inc. (Technology)
UnitedHealth Group (Healthcare)
JPMorgan Chase & Co. (Financial Services)
Walmart Inc. (Retail)
Ford Motor Company (Automotive)
Boeing Company (Manufacturing)
Verizon Communications Inc. (Telecommunications)
ExxonMobil Corporation (Energy)
Cargill, Inc. (Agriculture)
FedEx Corporation (Logistics and Transportation)
Marriott International, Inc. (Hospitality)
Salesforce.com Inc. (Technology)
Tesla, Inc. (Automotive)
Target Corporation (Retail)
Pfizer Inc. (Healthcare)
November 4, 2024, highlights how companies are leveraging AI and data analytics to optimize commercial strategies and accelerate drug discovery processes, leading to improved efficiency and enhanced patient outcomes. This convergence of technologies is fundamentally reshaping the landscape of pharma and innovative medicine, fostering significant advancements in healthcare.
On September 11, 2024, the U.S. Navy announced the successful deployment of integrated commercial AI solutions for Project Overmatch, enhancing its capabilities for critical Maritime Domain Awareness (MDA) by utilizing unmanned and autonomous platforms to supplement crewed assets and improve navigation and access to waterways globally.
On October 31, 2024, Enders Analysis reported that publishers are increasingly utilizing AI technologies to enhance productivity through initiatives like creating audio editions and leveraging archives, although the firm notes that while these advancements are beneficial, they are not considered game-changing for the industry.
On August 26, 2024, a study published in Nature Medicine by researchers at the University of North Carolina highlighted that nearly half of the commercially available AI devices cleared by the U.S. FDA lack adequate clinical validation, urging both the FDA and AI developers to prioritize publishing clinical validation data and conducting prospective studies to enhance patient safety.
| Report Attributes | Details |
|---|---|
| Market Size in 2023 | USD 2.28 Billion |
| Market Size by 2032 | USD 39.39 Billion |
| CAGR | CAGR of 37.25% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • by Technology (Deep Learning, Machine Learning, Natural Language Processing (NLP), Others) • by Implementation (Cloud-hosting and On-premises) • by Application (Customer relationship management, Supply chain analysis, Merchandising, virtual personal assistant, Warehouse automation, Others) • by End-User (BFSI, Retail & Commerce, Food & beverages, Manufacturing, Healthcare, Transportation & Logistics, 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 | Google (Alphabet Inc.), Microsoft Corporation, IBM, Amazon Web Services (AWS), Facebook (Meta Platforms, Inc.), NVIDIA Corporation, Salesforce, Oracle Corporation, SAP SE, Baidu, Inc., Tencent Holdings Ltd., Alibaba Group, Intel Corporation, Siemens AG, C3.ai, Palantir Technologies, Zoho Corporation, UiPath, OpenAI, and Nuro. |
| Key Drivers | • The increasing demand for AI-powered interactions serves as a significant driver for the growth of the AI assistants market. |
| RESTRAINTS | • The growing emphasis on data privacy and security presents a significant restraint for the AI market. |
Ans: The Commercial Artificial Intelligence Market Size was valued at USD 2.28 Billion in 2023.
Ans: The Commercial Artificial Intelligence Market is to grow at a CAGR of 37.25% Over the Forecast Period of 2024-2032.
Ans: The key drivers for the Commercial Artificial Intelligence market include rising demand for automation, advancements in machine learning, increasing data volumes, and the need for enhanced customer experiences.
Ans: North America is dominating in in Commercial Artificial Intelligence market in 2023
Ans: Deep Learning segment is dominating in Commercial Artificial Intelligence market in 2023
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Feature Analysis, 2023
5.2 User Demographics, 2023
5.3 Integration Capabilities, by Software, 2023
5.4 Impact on Decision-making
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and supply chain strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Commercial Artificial Intelligence Market Segmentation, by Technology
7.1 Chapter Overview
7.2 Deep Learning
7.2.1 Deep Learning Market Trends Analysis (2020-2032)
7.2.2 Deep Learning Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Machine Learning
7.3.1 Machine Learning Market Trends Analysis (2020-2032)
7.3.2 Machine Learning Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4 Natural Language Processing (NLP)
7.4.1 Natural Language Processing (NLP) Market Trends Analysis (2020-2032)
7.4.2 Natural Language Processing (NLP) Market Size Estimates and Forecasts to 2032 (USD Billion)
7.5 Others
7.5.1 Others Market Trends Analysis (2020-2032)
7.5.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Commercial Artificial Intelligence Market Segmentation, by Implemention
8.1 Chapter Overview
8.2 Cloud-hosting
8.2.1 Cloud-hosting Market Trends Analysis (2020-2032)
8.2.2 Cloud-hosting Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 On-premises
8.3.1 On-premises Market Trends Analysis (2020-2032)
8.3.2 On-premises Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Commercial Artificial Intelligence Market Segmentation, by Application
9.1 Chapter Overview
9.2 Customer relationship management
9.2.1 Customer relationship management Market Trends Analysis (2020-2032)
9.2.2 Customer relationship management Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Supply chain analysis
9.3.1 Supply chain analysis Market Trends Analysis (2020-2032)
9.3.2 Supply chain analysis Market Size Estimates and Forecasts to 2032 (USD Billion)
9.4 Merchandising
9.4.1 Merchandising Market Trends Analysis (2020-2032)
9.4.2 Merchandising Market Size Estimates and Forecasts to 2032 (USD Billion)
9.5 Virtual personal assistant
9.5.1 Virtual personal assistant Market Trends Analysis (2020-2032)
9.5.2 Virtual personal assistant Market Size Estimates and Forecasts to 2032 (USD Billion)
9.6 Warehouse automation
9.6.1 Warehouse automation Market Trends Analysis (2020-2032)
9.6.2 Warehouse automation Market Size Estimates and Forecasts to 2032 (USD Billion)
9.7 Others
9.7.1 Others Market Trends Analysis (2020-2032)
9.7.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Commercial Artificial Intelligence Market Segmentation, by End User
10.1 Chapter Overview
10.2 BFSI
10.2.1 BFSI Market Trends Analysis (2020-2032)
10.2.2 BFSI Market Size Estimates and Forecasts to 2032 (USD Billion)
10.3 Retail & Commerce
10.3.1 Retail & Commerce Market Trends Analysis (2020-2032)
10.3.2 Retail & Commerce Market Size Estimates and Forecasts to 2032 (USD Billion)
10.4 Food & beverages
10.4.1 Food & beverages Market Trends Analysis (2020-2032)
10.4.2 Food & beverages Market Size Estimates and Forecasts to 2032 (USD Billion)
10.5 Manufacturing
10.5.1 Manufacturing Market Trends Analysis (2020-2032)
10.5.2 Manufacturing Market Size Estimates and Forecasts to 2032 (USD Billion)
10.6 Healthcare
10.6.1 Healthcare Market Trends Analysis (2020-2032)
10.6.2 Healthcare Market Size Estimates and Forecasts to 2032 (USD Billion)
10.7 Transportation & Logistics
10.7.1 Transportation & Logistics Market Trends Analysis (2020-2032)
10.7.2 Transportation & Logistics Market Size Estimates and Forecasts to 2032 (USD Billion)
10.8 Others
10.8.1 Others Market Trends Analysis (2020-2032)
10.8.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
11. Regional Analysis
11.1 Chapter Overview
11.2 North America
11.2.1 Trends Analysis
11.2.2 North America Commercial Artificial Intelligence Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.2.3 North America Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.2.4 North America Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.2.5 North America Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.2.6 North America Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.2.7 USA
11.2.7.1 USA Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.2.7.2 USA Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.2.7.3 USA Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.2.7.4 USA Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.2.8 Canada
11.2.8.1 Canada Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.2.8.2 Canada Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.2.8.3 Canada Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.2.8.4 Canada Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.2.9 Mexico
11.2.9.1 Mexico Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.2.9.2 Mexico Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.2.9.3 Mexico Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.2.9.4 Mexico Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.3 Europe
11.3.1 Eastern Europe
11.3.1.1 Trends Analysis
11.3.1.2 Eastern Europe Commercial Artificial Intelligence Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.3.1.3 Eastern Europe Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.3.1.4 Eastern Europe Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.3.1.5 Eastern Europe Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.1.6 Eastern Europe Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.3.1.7 Poland
11.3.1.7.1 Poland Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.3.1.7.2 Poland Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.3.1.7.3 Poland Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.1.7.4 Poland Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.3.1.8 Romania
11.3.1.8.1 Romania Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.3.1.8.2 Romania Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.3.1.8.3 Romania Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.1.8.4 Romania Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.3.1.9 Hungary
11.3.1.9.1 Hungary Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.3.1.9.2 Hungary Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.3.1.9.3 Hungary Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.1.9.4 Hungary Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.3.1.10 Turkey
11.3.1.10.1 Turkey Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.3.1.10.2 Turkey Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.3.1.10.3 Turkey Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.1.10.4 Turkey Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.3.1.11 Rest of Eastern Europe
11.3.1.11.1 Rest of Eastern Europe Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.3.1.11.2 Rest of Eastern Europe Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.3.1.11.3 Rest of Eastern Europe Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.1.11.4 Rest of Eastern Europe Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.3.2 Western Europe
11.3.2.1 Trends Analysis
11.3.2.2 Western Europe Commercial Artificial Intelligence Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.3.2.3 Western Europe Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.3.2.4 Western Europe Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.3.2.5 Western Europe Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.6 Western Europe Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.3.2.7 Germany
11.3.2.7.1 Germany Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.3.2.7.2 Germany Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.3.2.7.3 Germany Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.7.4 Germany Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.3.2.8 France
11.3.2.8.1 France Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.3.2.8.2 France Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.3.2.8.3 France Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.8.4 France Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.3.2.9 UK
11.3.2.9.1 UK Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.3.2.9.2 UK Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.3.2.9.3 UK Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.9.4 UK Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.3.2.10 Italy
11.3.2.10.1 Italy Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.3.2.10.2 Italy Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.3.2.10.3 Italy Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.10.4 Italy Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.3.2.11 Spain
11.3.2.11.1 Spain Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.3.2.11.2 Spain Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.3.2.11.3 Spain Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.11.4 Spain Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.3.2.12 Netherlands
11.3.2.12.1 Netherlands Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.3.2.12.2 Netherlands Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.3.2.12.3 Netherlands Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.12.4 Netherlands Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.3.2.13 Switzerland
11.3.2.13.1 Switzerland Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.3.2.13.2 Switzerland Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.3.2.13.3 Switzerland Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.13.4 Switzerland Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.3.2.14 Austria
11.3.2.14.1 Austria Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.3.2.14.2 Austria Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.3.2.14.3 Austria Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.14.4 Austria Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.3.2.15 Rest of Western Europe
11.3.2.15.1 Rest of Western Europe Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.3.2.15.2 Rest of Western Europe Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.3.2.15.3 Rest of Western Europe Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.3.2.15.4 Rest of Western Europe Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.4 Asia-Pacific
11.4.1 Trends Analysis
11.4.2 Asia-Pacific Commercial Artificial Intelligence Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.4.3 Asia-Pacific Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.4.4 Asia-Pacific Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.4.5 Asia-Pacific Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.6 Asia-Pacific Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.4.7 China
11.4.7.1 China Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.4.7.2 China Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.4.7.3 China Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.7.4 China Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.4.8 India
11.4.8.1 India Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.4.8.2 India Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.4.8.3 India Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.8.4 India Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.4.9 Japan
11.4.9.1 Japan Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.4.9.2 Japan Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.4.9.3 Japan Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.9.4 Japan Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.4.10 South Korea
11.4.10.1 South Korea Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.4.10.2 South Korea Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.4.10.3 South Korea Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.10.4 South Korea Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.4.11 Vietnam
11.4.11.1 Vietnam Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.4.11.2 Vietnam Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.4.11.3 Vietnam Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.11.4 Vietnam Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.4.12 Singapore
11.4.12.1 Singapore Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.4.12.2 Singapore Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.4.12.3 Singapore Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.12.4 Singapore Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.4.13 Australia
11.4.13.1 Australia Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.4.13.2 Australia Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.4.13.3 Australia Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.13.4 Australia Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.4.14 Rest of Asia-Pacific
11.4.14.1 Rest of Asia-Pacific Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.4.14.2 Rest of Asia-Pacific Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.4.14.3 Rest of Asia-Pacific Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.4.14.4 Rest of Asia-Pacific Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.5 Middle East and Africa
11.5.1 Middle East
11.5.1.1 Trends Analysis
11.5.1.2 Middle East Commercial Artificial Intelligence Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.5.1.3 Middle East Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.5.1.4 Middle East Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.5.1.5 Middle East Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.1.6 Middle East Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.5.1.7 UAE
11.5.1.7.1 UAE Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.5.1.7.2 UAE Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.5.1.7.3 UAE Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.1.7.4 UAE Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.5.1.8 Egypt
11.5.1.8.1 Egypt Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.5.1.8.2 Egypt Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.5.1.8.3 Egypt Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.1.8.4 Egypt Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.5.1.9 Saudi Arabia
11.5.1.9.1 Saudi Arabia Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.5.1.9.2 Saudi Arabia Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.5.1.9.3 Saudi Arabia Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.1.9.4 Saudi Arabia Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.5.1.10 Qatar
11.5.1.10.1 Qatar Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.5.1.10.2 Qatar Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.5.1.10.3 Qatar Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.1.10.4 Qatar Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.5.1.11 Rest of Middle East
11.5.1.11.1 Rest of Middle East Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.5.1.11.2 Rest of Middle East Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.5.1.11.3 Rest of Middle East Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.1.11.4 Rest of Middle East Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.5.2 Africa
11.5.2.1 Trends Analysis
11.5.2.2 Africa Commercial Artificial Intelligence Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.5.2.3 Africa Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.5.2.4 Africa Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.5.2.5 Africa Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.2.6 Africa Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.5.2.7 South Africa
11.5.2.7.1 South Africa Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.5.2.7.2 South Africa Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.5.2.7.3 South Africa Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.2.7.4 South Africa Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.5.2.8 Nigeria
11.5.2.8.1 Nigeria Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.5.2.8.2 Nigeria Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.5.2.8.3 Nigeria Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.2.8.4 Nigeria Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.5.2.9 Rest of Africa
11.5.2.9.1 Rest of Africa Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.5.2.9.2 Rest of Africa Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.5.2.9.3 Rest of Africa Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.5.2.9.4 Rest of Africa Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.6 Latin America
11.6.1 Trends Analysis
11.6.2 Latin America Commercial Artificial Intelligence Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
11.6.3 Latin America Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.6.4 Latin America Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.6.5 Latin America Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.6.6 Latin America Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.6.7 Brazil
11.6.7.1 Brazil Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.6.7.2 Brazil Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.6.7.3 Brazil Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.6.7.4 Brazil Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.6.8 Argentina
11.6.8.1 Argentina Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.6.8.2 Argentina Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.6.8.3 Argentina Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.6.8.4 Argentina Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.6.9 Colombia
11.6.9.1 Colombia Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.6.9.2 Colombia Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.6.9.3 Colombia Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.6.9.4 Colombia Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
11.6.10 Rest of Latin America
11.6.10.1 Rest of Latin America Commercial Artificial Intelligence Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
11.6.10.2 Rest of Latin America Commercial Artificial Intelligence Market Estimates and Forecasts, by Implemention (2020-2032) (USD Billion)
11.6.10.3 Rest of Latin America Commercial Artificial Intelligence Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
11.6.10.4 Rest of Latin America Commercial Artificial Intelligence Market Estimates and Forecasts, by End User (2020-2032) (USD Billion)
12. Company Profiles
12.1 Google (Alphabet Inc.)
12.1.1 Company Overview
12.1.2 Financial
12.1.3 Products/ Services Offered
12.1.4 SWOT Analysis
12.2 Microsoft Corporation
12.2.1 Company Overview
12.2.2 Financial
12.2.3 Products/ Services Offered
12.2.4 SWOT Analysis
12.3 IBM
12.3.1 Company Overview
12.3.2 Financial
12.3.3 Products/ Services Offered
12.3.4 SWOT Analysis
12.4 Amazon Web Services (AWS)
12.4.1 Company Overview
12.4.2 Financial
12.4.3 Products/ Services Offered
12.4.4 SWOT Analysis
12.5 Facebook (Meta Platforms, Inc.)
12.5.1 Company Overview
12.5.2 Financial
12.5.3 Products/ Services Offered
12.5.4 SWOT Analysis
12.6 NVIDIA Corporation
12.6.1 Company Overview
12.6.2 Financial
12.6.3 Products/ Services Offered
12.6.4 SWOT Analysis
12.7 Salesforce
12.7.1 Company Overview
12.7.2 Financial
12.7.3 Products/ Services Offered
12.7.4 SWOT Analysis
12.8 Oracle Corporation
12.8.1 Company Overview
12.8.2 Financial
12.8.3 Products/ Services Offered
12.8.4 SWOT Analysis
12.9 SAP SE
12.9.1 Company Overview
12.9.2 Financial
12.9.3 Products/ Services Offered
12.9.4 SWOT Analysis
12.10 Baidu, Inc.
12.10.1 Company Overview
12.10.2 Financial
12.10.3 Products/ Services Offered
12.10.4 SWOT Analysis
13. Use Cases and Best Practices
14. 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.
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.
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.
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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