Artificial Intelligence Ai Market
Artificial Intelligence (AI) Market Forecasts to 2030 - Global Analysis By Type (General/Strong Artificial Intelligence, Narrow/Weak Artificial Intelligence and Other Types), System Type, Offering, Deployment Mode, Business Function, Technology, End User and By Geography
|
Years Covered |
2022-2030 |
|
Estimated Year Value (2024) |
US $664.88 BN |
|
Projected Year Value (2030) |
US $2086.67 BN |
|
CAGR (2024 - 2030) |
21.0% |
|
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
|
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
|
Largest Market |
North America |
|
Highest Growing Market |
Europe |
According to Stratistics MRC, the Global Artificial Intelligence (AI) Market is accounted for $664.88 billion in 2024 and is expected to reach $2086.67 billion by 2030 growing at a CAGR of 21.0% during the forecast period. The simulation of human intelligence in machines created to think and behave like humans is known as artificial intelligence, or AI. This includes a wide range of activities like learning, thinking, solving problems, perceiving, and comprehending language. Large-scale data processing algorithms and models give artificial intelligence (AI) systems their ability to identify patterns, make judgments, and develop over time. Moreover, AI is being used in a wide range of industries, such as healthcare, finance, and daily life.
According to the Association for the Advancement of Artificial Intelligence (AAAI), artificial intelligence is defined as the scientific understanding of the mechanisms underlying thought and intelligent behaviour and their embodiment in machines.
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Market Dynamics:
Driver:
Enhanced accessibility of data
Artificial intelligence (AI) systems have access to a vast amount of data due to the exponential growth of data coming from a variety of sources, such as social media platforms, IoT devices, sensors, and online transactions. With this massive amount of data, AI models are able to accurately spot trends, forecast outcomes, and draw conclusions. Both structured and unstructured data are now readily available, which has accelerated the development of machine learning and data analytics algorithms. Additionally, this has facilitated the extraction of valuable information and accelerated the process of decision-making across the board.
Restraint:
Absence of skilled labor
The demand for qualified workers has not kept up with the AI industry's explosive expansion. Finding and keeping competent talent is difficult for organizations due to the severe lack of specialists in AI, machine learning, and data science. The intricate and dynamic nature of AI technologies, which necessitate constant learning and adaptation, exacerbates this talent gap. Furthermore, AI adoption and scalability are severely hampered for many businesses by the time and money required for training current staff members and hiring new hires.
Opportunity:
Enhancements in healthcare
AI has the power to completely transform healthcare by enhancing patient care, treatment strategies, and diagnosis. Artificial intelligence (AI)-powered tools are able to analyze medical images, find anomalies, and help with early disease diagnosis, including neurological disorders and cancer. Proactive care can be provided, and hospital readmissions can be decreased by using predictive analytics to foresee patient outcomes. Moreover, AI-powered personalized medicine adjusts medications based on each patient's unique genetic profile, increasing effectiveness and reducing side effects.
Threat:
Moral and ethical issues
Many ethical and moral questions are brought up by the use of AI, especially in relation to privacy, autonomy, and accountability. Artificial intelligence (AI) systems frequently work with huge datasets that contain personal data, which, if improperly managed, can result in privacy violations. The possibility of AI making decisions on its own also begs the question of who is responsible for mistakes or injuries. Additionally, determining responsibility for errors can be difficult, for example, in the cases of driverless cars and AI-driven medical diagnosis.
Covid-19 Impact:
The COVID-19 pandemic hastened the adoption of artificial intelligence (AI) in a number of industries as businesses attempted to manage the obstacles presented by the crisis. AI has been instrumental in the healthcare industry in terms of forecasting outbreaks, expediting the development of vaccines, and maximizing the use of available resources. AI has improved customer service through chatbots and virtual assistants, allowed remote work through sophisticated communication tools, and helped businesses manage supply chain disruptions. Furthermore, the pandemic also sparked innovation in data analysis, automation, and AI-driven contactless interaction solutions to boost resilience and operational efficiency.
The Cloud segment is expected to be the largest during the forecast period
The cloud segment has the largest market share in artificial intelligence (AI). The cloud's scalability, affordability, and flexibility—which enable enterprises to implement AI solutions without having to make sizable upfront infrastructure investments—are what propel the market's expansion. Businesses may innovate quickly and implement AI applications with ease thanks to cloud-based AI services, which offer simple access to sophisticated algorithms, enormous computational capacity, and sizable datasets. Moreover, cloud platforms provide strong security, compliance, and maintenance capabilities, which lessen the need for businesses to handle these facets on their own.
The Artificial Intelligence (AI) Enterprise Use Cases segment is expected to have the highest CAGR during the forecast period
The AI market's highest CAGR is anticipated for the Artificial Intelligence (AI) Enterprise Use Cases segment. This segment covers a wide range of applications from various industries, using AI to boost competitiveness, efficiency, and innovation. Businesses are using artificial intelligence (AI) more and more for applications like supply chain optimization, fraud detection, robotic customer support, and predictive maintenance. Furthermore, broadening the reach and influence of AI applications in businesses are technological developments in machine learning, natural language processing, and computer vision.
Region with largest share:
North America is the region with the largest share of the global artificial intelligence (AI) market. This region's high adoption rates across a range of industries, strong R&D efforts, and presence of important AI technology providers all contribute to this. The AI scene is dominated, in particular, by the United States, with Silicon Valley acting as a center of innovation and funding for AI startups. With their headquarters located in North America, major tech companies such as Google, Microsoft, and IBM heavily invest in AI research and development. Additionally, North America is leading the AI market in addition to supportive government initiatives, robust academic institutions, and an established venture capital ecosystem.
Region with highest CAGR:
Europe's artificial intelligence (AI) market is predicted to grow at the highest CAGR in the world. Europe is well-positioned to witness a substantial surge in the adoption of AI due to its emphasis on research and development, strong regulatory frameworks, and growing investments in AI technology. Leading the way in AI innovation and investment are nations like the UK, Germany, France, and Sweden, which are aided by government programs, academic institutions, and industry cooperation. Moreover, the region's AI market is growing, thanks in part to the European Union's AI strategy as well as programs that support innovation and digital transformation.
Key players in the market
Some of the key players in Artificial Intelligence (AI) market include Huawei, Google LLC, Microsoft, Salesforce Inc., Cisco Systems, Inc., IBM, Oracle Corporation, Dell Technologies, Intel Corporation, Accenture, Siemens, IPsoft Inc, NVIDIA Corporation, Amazon Web Services and Next IT Corporation.
Key Developments:
In June 2024, Microsoft has announced a multi-billion-dollar AI-focused partnership with Japan’s Hitachi. The collaboration is designed to use generative artificial intelligence (AI) to fuel the growth of Hitachi’s business software and services business Lumada, particularly in social infrastructure areas like energy and mobility.
In May 2024, Google LLC has entered into power purchase agreements (PPAs) with two Japanese energy providers securing 60 MW of solar capacity dedicated to providing electricity to the company's data centres in Japan.
In April 2024, Huawei and EDMI announced signing a patent license agreement under fair, reasonable, and non-discriminatory (FRAND) conditions. Huawei will grant a cellular IoT Standard Essential Patents (SEPs) license, including NB-IoT, LTE-M and LTE Cat. 1 to EDMI. This agreement represents recognition of the strength of Huawei's cellular IoT SEPs from industry peers.
Types Covered:
• General/Strong Artificial Intelligence
• Narrow/Weak Artificial Intelligence
• Other Types
System Types Covered:
• Artificial Neural Networks (ANN)
• Digital Personal Assistant
• Automotive Robotics System
• Fuzzy Systems
• Embedded System
• Intelligence Systems
• Decision Support Processing
• Robot-Integrated Manufacturing Systems
• Hybrid Systems
• Other System Types
Offerings Covered:
• Software
• Hardware
• Services
Deployment Modes Covered:
• Cloud
• On-Premises
Business Functions Covered:
• Marketing and Sales
• Human Resources
• Finance and Accounting
• Wealth Management
• Law
• Security
• Forecasts and Modelling
• Artificial Intelligence (AI) Enterprise Use Cases
Technologies Covered:
• Querying Method
• Natural Language Generation
• Speech Recognition (Speech Analytics)
• Text Analytics
• Computer (Machine) Vision
• Advanced Analytics
• Adaptive Learning
• Context-Aware Computing
• Machine Learning
• Natural Language Processing (NLP)
• Gesture Control
• Image Processing
• Other Technologies
End Users Covered:
• Healthcare
• BFSI
• Retail
• Advertising and Media
• Automotive and Transportation
• Agriculture
• Manufacturing
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Artificial Intelligence (AI) Market, By Type
5.1 Introduction
5.2 General/Strong Artificial Intelligence
5.3 Narrow/Weak Artificial Intelligence
5.4 Other Types
6 Global Artificial Intelligence (AI) Market, By System Type
6.1 Introduction
6.2 Artificial Neural Networks (ANN)
6.3 Digital Personal Assistant
6.4 Automotive Robotics System
6.5 Fuzzy Systems
6.6 Embedded System
6.7 Intelligence Systems
6.8 Decision Support Processing
6.9 Robot-Integrated Manufacturing Systems
6.10 Hybrid Systems
6.11 Other System Types
7 Global Artificial Intelligence (AI) Market, By Offering
7.1 Introduction
7.2 Software
7.2.1 Artificial Intelligence (AI) Solutions
7.2.2 Machine Learning Framework
7.2.3 Application Program Interface (API)
7.2.4 Artificial Intelligence (AI) Platforms
7.3 Hardware
7.3.1 Sensors
7.3.2 Networking Hardware
7.3.3 Processor
7.3.3.1 Field Programmable Gate Arrays
7.3.3.2 Microprocessing Unit
7.3.3.3 Graphics Processing Unit
7.3.4 Artificial Intelligence (AI) Chipsets
7.3.5 Memory Units
7.3.6 Storage Devices
7.4 Services
7.4.1 Managed
7.4.1.1 Installation
7.4.1.2 Training
7.4.2 Professional
7.4.2.1 Artificial Intelligence (AI) Technology Consulting
7.4.2.2 Support and Maintenance
7.4.2.3 Deployment and System Integration
8 Global Artificial Intelligence (AI) Market, By Deployment Mode
8.1 Introduction
8.2 Cloud
8.3 On-Premises
9 Global Artificial Intelligence (AI) Market, By Business Function
9.1 Introduction
9.2 Marketing and Sales
9.3 Human Resources
9.4 Finance and Accounting
9.5 Wealth Management
9.6 Law
9.7 Security
9.8 Forecasts and Modelling
9.9 Artificial Intelligence (AI) Enterprise Use Cases
10 Global Artificial Intelligence (AI) Market, By Technology
10.1 Introduction
10.2 Querying Method
10.3 Natural Language Generation
10.4 Speech Recognition (Speech Analytics)
10.5 Text Analytics
10.6 Computer (Machine) Vision
10.7 Advanced Analytics
10.8 Adaptive Learning
10.9 Context-Aware Computing
10.10 Machine Learning
10.10.1 General Adversarial Networks (GANS)
10.10.2 Reinforcement Learning
10.10.3 Supervised Learning
10.10.4 Deep Learning
10.10.5 Unsupervised Learning
10.11 Natural Language Processing (NLP)
10.12 Gesture Control
10.13 Image Processing
10.14 Other Technologies
11 Global Artificial Intelligence (AI) Market, By End User
11.1 Introduction
11.2 Healthcare
11.2.1 Robot Assisted Surgery
11.2.2 Virtual Nursing Assistants
11.2.3 Hospital Workflow Management
11.2.4 Dosage Error Reduction
11.2.5 Clinical Trial Participant Identifier
11.2.6 Preliminary Diagnosis
11.2.7 Automated Image Diagnosis
11.3 BFSI
11.3.1 Risk Assessment
11.3.2 Financial Analysis/Research
11.3.3 Investment/Portfolio Management
11.4 Retail
11.5 Advertising and Media
11.6 Automotive and Transportation
11.7 Agriculture
11.8 Manufacturing
11.9 Other End Users
12 Global Artificial Intelligence (AI) Market, By Geography
12.1 Introduction
12.2 North America
12.2.1 US
12.2.2 Canada
12.2.3 Mexico
12.3 Europe
12.3.1 Germany
12.3.2 UK
12.3.3 Italy
12.3.4 France
12.3.5 Spain
12.3.6 Rest of Europe
12.4 Asia Pacific
12.4.1 Japan
12.4.2 China
12.4.3 India
12.4.4 Australia
12.4.5 New Zealand
12.4.6 South Korea
12.4.7 Rest of Asia Pacific
12.5 South America
12.5.1 Argentina
12.5.2 Brazil
12.5.3 Chile
12.5.4 Rest of South America
12.6 Middle East & Africa
12.6.1 Saudi Arabia
12.6.2 UAE
12.6.3 Qatar
12.6.4 South Africa
12.6.5 Rest of Middle East & Africa
13 Key Developments
13.1 Agreements, Partnerships, Collaborations and Joint Ventures
13.2 Acquisitions & Mergers
13.3 New Product Launch
13.4 Expansions
13.5 Other Key Strategies
14 Company Profiling
14.1 Huawei
14.2 Google LLC
14.3 Microsoft
14.4 Salesforce Inc.
14.5 Cisco Systems, Inc.
14.6 IBM
14.7 Oracle Corporation
14.8 Dell Technologies
14.9 Intel Corporation
14.10 Accenture
14.11 Siemens
14.12 IPsoft Inc
14.13 NVIDIA Corporation
14.14 Amazon Web Services
14.15 Next IT Corporation
List of Tables
1 Global Artificial Intelligence (AI) Market Outlook, By Region (2022-2030) ($MN)
2 Global Artificial Intelligence (AI) Market Outlook, By Type (2022-2030) ($MN)
3 Global Artificial Intelligence (AI) Market Outlook, By General/Strong Artificial Intelligence (2022-2030) ($MN)
4 Global Artificial Intelligence (AI) Market Outlook, By Narrow/Weak Artificial Intelligence (2022-2030) ($MN)
5 Global Artificial Intelligence (AI) Market Outlook, By Other Types (2022-2030) ($MN)
6 Global Artificial Intelligence (AI) Market Outlook, By System Type (2022-2030) ($MN)
7 Global Artificial Intelligence (AI) Market Outlook, By Artificial Neural Networks (ANN) (2022-2030) ($MN)
8 Global Artificial Intelligence (AI) Market Outlook, By Digital Personal Assistant (2022-2030) ($MN)
9 Global Artificial Intelligence (AI) Market Outlook, By Automotive Robotics System (2022-2030) ($MN)
10 Global Artificial Intelligence (AI) Market Outlook, By Fuzzy Systems (2022-2030) ($MN)
11 Global Artificial Intelligence (AI) Market Outlook, By Embedded System (2022-2030) ($MN)
12 Global Artificial Intelligence (AI) Market Outlook, By Intelligence Systems (2022-2030) ($MN)
13 Global Artificial Intelligence (AI) Market Outlook, By Decision Support Processing (2022-2030) ($MN)
14 Global Artificial Intelligence (AI) Market Outlook, By Robot-Integrated Manufacturing Systems (2022-2030) ($MN)
15 Global Artificial Intelligence (AI) Market Outlook, By Hybrid Systems (2022-2030) ($MN)
16 Global Artificial Intelligence (AI) Market Outlook, By Other System Types (2022-2030) ($MN)
17 Global Artificial Intelligence (AI) Market Outlook, By Offering (2022-2030) ($MN)
18 Global Artificial Intelligence (AI) Market Outlook, By Software (2022-2030) ($MN)
19 Global Artificial Intelligence (AI) Market Outlook, By Artificial Intelligence (AI) Solutions (2022-2030) ($MN)
20 Global Artificial Intelligence (AI) Market Outlook, By Machine Learning Framework (2022-2030) ($MN)
21 Global Artificial Intelligence (AI) Market Outlook, By Application Program Interface (API) (2022-2030) ($MN)
22 Global Artificial Intelligence (AI) Market Outlook, By Artificial Intelligence (AI) Platforms (2022-2030) ($MN)
23 Global Artificial Intelligence (AI) Market Outlook, By Hardware (2022-2030) ($MN)
24 Global Artificial Intelligence (AI) Market Outlook, By Sensors (2022-2030) ($MN)
25 Global Artificial Intelligence (AI) Market Outlook, By Networking Hardware (2022-2030) ($MN)
26 Global Artificial Intelligence (AI) Market Outlook, By Processor (2022-2030) ($MN)
27 Global Artificial Intelligence (AI) Market Outlook, By Artificial Intelligence (AI) Chipsets (2022-2030) ($MN)
28 Global Artificial Intelligence (AI) Market Outlook, By Memory Units (2022-2030) ($MN)
29 Global Artificial Intelligence (AI) Market Outlook, By Storage Devices (2022-2030) ($MN)
30 Global Artificial Intelligence (AI) Market Outlook, By Services (2022-2030) ($MN)
31 Global Artificial Intelligence (AI) Market Outlook, By Managed (2022-2030) ($MN)
32 Global Artificial Intelligence (AI) Market Outlook, By Professional (2022-2030) ($MN)
33 Global Artificial Intelligence (AI) Market Outlook, By Deployment Mode (2022-2030) ($MN)
34 Global Artificial Intelligence (AI) Market Outlook, By Cloud (2022-2030) ($MN)
35 Global Artificial Intelligence (AI) Market Outlook, By On-Premises (2022-2030) ($MN)
36 Global Artificial Intelligence (AI) Market Outlook, By Business Function (2022-2030) ($MN)
37 Global Artificial Intelligence (AI) Market Outlook, By Marketing and Sales (2022-2030) ($MN)
38 Global Artificial Intelligence (AI) Market Outlook, By Human Resources (2022-2030) ($MN)
39 Global Artificial Intelligence (AI) Market Outlook, By Finance and Accounting (2022-2030) ($MN)
40 Global Artificial Intelligence (AI) Market Outlook, By Wealth Management (2022-2030) ($MN)
41 Global Artificial Intelligence (AI) Market Outlook, By Law (2022-2030) ($MN)
42 Global Artificial Intelligence (AI) Market Outlook, By Security (2022-2030) ($MN)
43 Global Artificial Intelligence (AI) Market Outlook, By Forecasts and Modelling (2022-2030) ($MN)
44 Global Artificial Intelligence (AI) Market Outlook, By Artificial Intelligence (AI) Enterprise Use Cases (2022-2030) ($MN)
45 Global Artificial Intelligence (AI) Market Outlook, By Technology (2022-2030) ($MN)
46 Global Artificial Intelligence (AI) Market Outlook, By Querying Method (2022-2030) ($MN)
47 Global Artificial Intelligence (AI) Market Outlook, By Natural Language Generation (2022-2030) ($MN)
48 Global Artificial Intelligence (AI) Market Outlook, By Speech Recognition (Speech Analytics) (2022-2030) ($MN)
49 Global Artificial Intelligence (AI) Market Outlook, By Text Analytics (2022-2030) ($MN)
50 Global Artificial Intelligence (AI) Market Outlook, By Computer (Machine) Vision (2022-2030) ($MN)
51 Global Artificial Intelligence (AI) Market Outlook, By Advanced Analytics (2022-2030) ($MN)
52 Global Artificial Intelligence (AI) Market Outlook, By Adaptive Learning (2022-2030) ($MN)
53 Global Artificial Intelligence (AI) Market Outlook, By Context-Aware Computing (2022-2030) ($MN)
54 Global Artificial Intelligence (AI) Market Outlook, By Machine Learning (2022-2030) ($MN)
55 Global Artificial Intelligence (AI) Market Outlook, By General Adversarial Networks (GANS) (2022-2030) ($MN)
56 Global Artificial Intelligence (AI) Market Outlook, By Reinforcement Learning (2022-2030) ($MN)
57 Global Artificial Intelligence (AI) Market Outlook, By Supervised Learning (2022-2030) ($MN)
58 Global Artificial Intelligence (AI) Market Outlook, By Deep Learning (2022-2030) ($MN)
59 Global Artificial Intelligence (AI) Market Outlook, By Unsupervised Learning (2022-2030) ($MN)
60 Global Artificial Intelligence (AI) Market Outlook, By Natural Language Processing (NLP) (2022-2030) ($MN)
61 Global Artificial Intelligence (AI) Market Outlook, By Gesture Control (2022-2030) ($MN)
62 Global Artificial Intelligence (AI) Market Outlook, By Image Processing (2022-2030) ($MN)
63 Global Artificial Intelligence (AI) Market Outlook, By Other Technologies (2022-2030) ($MN)
64 Global Artificial Intelligence (AI) Market Outlook, By End User (2022-2030) ($MN)
65 Global Artificial Intelligence (AI) Market Outlook, By Healthcare (2022-2030) ($MN)
66 Global Artificial Intelligence (AI) Market Outlook, By Robot Assisted Surgery (2022-2030) ($MN)
67 Global Artificial Intelligence (AI) Market Outlook, By Virtual Nursing Assistants (2022-2030) ($MN)
68 Global Artificial Intelligence (AI) Market Outlook, By Hospital Workflow Management (2022-2030) ($MN)
69 Global Artificial Intelligence (AI) Market Outlook, By Dosage Error Reduction (2022-2030) ($MN)
70 Global Artificial Intelligence (AI) Market Outlook, By Clinical Trial Participant Identifier (2022-2030) ($MN)
71 Global Artificial Intelligence (AI) Market Outlook, By Preliminary Diagnosis (2022-2030) ($MN)
72 Global Artificial Intelligence (AI) Market Outlook, By Automated Image Diagnosis (2022-2030) ($MN)
73 Global Artificial Intelligence (AI) Market Outlook, By BFSI (2022-2030) ($MN)
74 Global Artificial Intelligence (AI) Market Outlook, By Risk Assessment (2022-2030) ($MN)
75 Global Artificial Intelligence (AI) Market Outlook, By Financial Analysis/Research (2022-2030) ($MN)
76 Global Artificial Intelligence (AI) Market Outlook, By Investment/Portfolio Management (2022-2030) ($MN)
77 Global Artificial Intelligence (AI) Market Outlook, By Retail (2022-2030) ($MN)
78 Global Artificial Intelligence (AI) Market Outlook, By Advertising and Media (2022-2030) ($MN)
79 Global Artificial Intelligence (AI) Market Outlook, By Automotive and Transportation (2022-2030) ($MN)
80 Global Artificial Intelligence (AI) Market Outlook, By Agriculture (2022-2030) ($MN)
81 Global Artificial Intelligence (AI) Market Outlook, By Manufacturing (2022-2030) ($MN)
82 Global Artificial Intelligence (AI) Market Outlook, By Other End Users (2022-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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