Artificial Intelligence (AI) Toolkit Market Trends Analysis Research Report by Offering (Hardware, Software, Services), Technology (Natural Language Processing, Machine Learning), Vertical (BFSI, Retail & eCommerce, Healthcare & Life Sciences) and Region - Global Forecast to 2030
Pages: 120 | Feb-2024 Formats | PDF | Category: Information and Technology | Delivery: 24 to 72 Hours
Artificial Intelligence (AI) Toolkit Market Overview
Artificial Intelligence (AI) Toolkit Market is expected to grow rapidly at a 36.4% CAGR consequently, it will grow from its existing size of from $19.6 billion in 2024 to $ 91.6 billion by 2030.
For Insights Consultancy presents an extensive market analysis report titled “Artificial Intelligence (AI) Toolkit Market Report 2024″providing businesses with an edge in competition by providing a thorough analysis of market structures with estimates for various segmentations and segments. The report also focuses new trends, major drivers, challenges, as well as opportunities. The report provides all necessary information needed to thrive in the Artificial Intelligence (AI) Toolkit industry. This report is about Artificial Intelligence (AI) Toolkit market research provides a complete analysis, which includes a comprehensive analysis of the current and future trends in the market.
One of the main factors propelling the growth of the AI Toolkit Market is the use of these toolkits in customer service to create chatbots and virtual assistants. The reason for the significant uptake of this trend is its capacity to both significantly improve customer satisfaction and lower operating service expenses. AI toolkit-powered chatbots provide prompt answers to consumer inquiries, guaranteeing round-the-clock accessibility and efficient problem-solving. In addition to increasing customer happiness through prompt and effective support, this also lowers costs by eliminating the need for sizable customer care personnel.
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Trends 2024
The integration of AI with cloud services is likely to be a focal point, enabling organizations to harness the power of AI on scalable and flexible platforms. The balance between open-source and commercial AI toolkits is expected to evolve, with a growing emphasis on community-driven innovation. Industry-specific applications of AI toolkits, such as in healthcare, finance, and manufacturing, are anticipated to expand, reflecting the technology’s increasing impact across diverse sectors. Additionally, the regulatory landscape surrounding AI may shape market dynamics, influencing the development and adoption of AI toolkits.
Artificial Intelligence (AI) Toolkit Market Dynamics
Growth Drivers
Increasing use of AutoML for model training in high-quality
AI technology has advanced significantly over time. As a result, there is a greater need for AI models and applications. Correct model architecture, appropriate data collection, and model tuning to meet targeted key performance indicators (KPIs) are essential for creating accurate AI tools. The human process of determining which models and hyperparameters are optimal for a given KPI can be somewhat automated with the aid of automated machine learning, or AutoML. It can conceal many of the difficult processes involved in developing and optimising AI models and automatically choose which AI model is appropriate for a given purpose.
Restraints
Market standardisation for AI toolkits is lacking.
The market’s lack of standardisation for AI toolkits presents a significant obstacle for companies and developers. Every AI toolset on the market has advantages and disadvantages. Because of this, selecting the best toolkit for a business’s needs and learning how to use several toolkits for developers are made more challenging. The quick speed of AI invention, the variety of AI applications, and the open-source nature of many AI toolkits are some of the aspects that make more standardisation in AI toolkits necessary. AI is always changing, and new toolkits are coming out all the time. The development and adoption of standards are hampered by this.
Artificial Intelligence (AI) Toolkit Market Segment Analysis
The market for artificial intelligence (AI) toolkits is divided into a number of divisions to meet the changing demands of companies in different sectors. A notable subset consists of Machine Learning (ML) toolkits, which serve as the foundation for AI applications by facilitating the ability of algorithms to learn from and improve upon data. These toolkits frequently include PyTorch and TensorFlow frameworks, giving developers strong resources to create complex models.
Natural Language Processing (NLP) toolkits, such spaCy and NLTK, are another important topic. These toolkits are essential for creating applications that can comprehend and produce human language. Another crucial area is computer vision toolkits, which enable the creation of AI programmes that can analyse and interpret visual data.
Examples of such libraries are OpenCV and TensorFlow’s Object Detection API. Toolkits for reinforcement learning, like as OpenAI’s Gym, address the increasing need for artificial intelligence (AI) systems that can make sequential judgements and learn from encounters.
Furthermore, AutoML (Automated Machine Learning) toolkits are becoming more and more popular, enabling businesses to expedite the model construction process without requiring a lot of manual labour. The market’s segmentation reflects the complexity of artificial intelligence (AI), addressing particular requirements and difficulties in many fields and so promoting innovation and expansion in the field of AI toolkits.
Competitive Landscape of the Artificial Intelligence (AI) Toolkit Market
Microsoft (US), Google (US), IBM (US), Oracle (US), Thales Group (France), Salesforce (US), Intel (US), Adobe (US), Meta Platforms (US), AWS (US), NVIDIA Corporation (US), H2O.ai (US), Alteryx (US), Altair (US), KNIME (Switzerland), DataRobot (US), Jasper (US), Rasa (US), SuperAnnotate (US), OpenAI (US), Obviously AI (US), Fiddler AI (US), Determined AI (US), Snorkel AI (US), Levity AI (Germany), Union AI (US), Attri AI (US), Regie.ai (US)
New Developments
- In September 2023, Infosys and NVIDIA expanded their existing collaboration to develop a generative AI platform to help enterprises increase productivity. The partnership offers a scalable platform using NVIDIA technology to enhance Infosys’ Responsible AI Toolkit.
- In August 2023, IBM and Salesforce collaborated to assist businesses across various sectors in expediting their integration of AI into Customer Relationship Management. This collaboration empowers organizations to transform customer, partner, and employee interactions while ensuring the security of their data.
- In July 2023, Microsoft and Meta partnered to support Large Language Models on Azure and Windows.
Artificial Intelligence (AI) Toolkit Market Regional Insights
Throughout the projection period, North America is anticipated to have the greatest market size.
The North American AI toolkit industry is mostly driven by government funding and assistance. The region’s governments’ dedication to AI research and development projects boosts competitiveness while also encouraging innovation. Public investments in research facilities, infrastructure, and AI initiatives foster an environment that promotes cooperation between startups, industry, and academia.
As the essential building blocks for AI innovation, this in turn encourages the creation and uptake of AI toolkits. Resources and financing are readily available, which makes it easier to investigate new applications for AI and to develop AI skills. As a result, North America has emerged as a global leader in AI technology, propelling the expansion of the AI toolkit market in the area.
Segments Covered in the Artificial Intelligence (AI) Toolkit Market
Based on Offering:
- Software
- Hardware
- Processors
- Accelerators
- Others (Memory and Networking Equipment)
- Services
- Professional Services
- Managed Services
Based on Technology:
- Natural Language Processing
- Machine Learning
- Computer Vision
- Robotic Process Automation
Based on Vertical:
- Banking, Financial Services, & Insurance (BFSI)
- Retail & eCommerce
- Healthcare & Life Sciences
- Manufacturing
- Telecom
- IT & ITeS
- Media & Entertainment
- Energy & Utilities
- Government & Defense
- Automotive, Transportation, & Logistics
- Other Verticals (Education, Travel & Hospitality, Construction & Real Estate, and Agriculture)
Frequently Asked Questions:
How big Artificial Intelligence (AI) Toolkit Market?
Artificial Intelligence (AI) Toolkit Market is expected to grow rapidly at a 36.4% CAGR consequently, it will grow from its existing size of from $ 19.6 billion in 2024 to $ 91.6 billion by 2030.
What is the future outlook for the Artificial Intelligence (AI) Toolkit Market?
The AI Toolkit Market is expected to experience sustained growth and innovation due to the increasing adoption of AI in sectors like healthcare, finance, and manufacturing. The evolution of AI algorithms and the complexity of applications will drive the need for sophisticated, user-friendly toolkits. The integration of AI toolkits with cloud services will enhance accessibility and scalability. The market is also poised for a dynamic future with growing AI applications.
What applications do Artificial Intelligence (AI) Toolkit have?
AI toolkits are essential in various industries, enabling developers to create sophisticated models for tasks like image recognition, natural language processing, and predictive analytics. They also facilitate the development of applications like spaCy and NLTK, computer vision tools like OpenCV and TensorFlow’s Object Detection API, reinforcement learning tools like OpenAI’s Gym, and AutoML toolkits, making AI more accessible to individuals and organizations with limited expertise.
Which Are the Top Companies Hold the Market Share in Artificial Intelligence (AI) Toolkit Market?
Microsoft (US), Google (US), IBM (US), Oracle (US), Thales Group (France), Salesforce (US), Intel (US), Adobe (US), Meta Platforms (US), AWS (US), NVIDIA Corporation (US), H2O.ai (US), Alteryx (US), Altair (US), KNIME (Switzerland), DataRobot (US), Jasper (US), Rasa (US), SuperAnnotate (US), OpenAI (US), Obviously AI (US), Fiddler AI (US), Determined AI (US), Snorkel AI (US), Levity AI (Germany), Union AI (US), Attri AI (US), Regie.ai (US)
Report Features
This report gives the most complete information. The report on Artificial Intelligence (AI) Toolkit format has been designed so that it can provide the best value to the business. It offers crucial insights into the market’s dynamic and will aid in strategic decision-making for current players as well as those looking to join the market.
What Deliverables Will You Get in this Report?
| Key questions this report answers | Relevant contents in the report |
| How big is the sales opportunity? | In-depth analysis of the Global Artificial Intelligence (AI) Toolkit |
| How lucrative is the future? | Market forecast and trend data and emerging trends |
| Which regions offer the best sales opportunities? | Global, regional and country level historical data and forecasts |
| Which are the most attractive market Key segments? | Market segment analysis and forecast |
| Which are the top Key players and their market positioning? | Competitive landscape analysis, Market share analysis |
| How complex is the business environment? | Porter’s five forces analysis, PEST analysis, Life cycle analysis |
| What are the factors affecting the market? | Drivers & Restraints |
| Will I get the information on my specific requirement? | 10% free customization |
TABLE OF CONTENT
CHAPTER 1 METHODOLOGY & SCOPE
1.1 MARKET SCOPE & DEFINITION
1.2 BASE ESTIMATES & CALCULATIONS
1.3 FORECAST CALCULATION
1.4 DATA SOURCES
1.4.1 PRIMARY
1.4.2 SECONDARY
1.4.2.1 PAID SOURCES
1.4.2.2 PUBLIC SOURCES
CHAPTER 2 EXECUTIVE SUMMARY
2.1 ARTIFICIAL INTELLIGENCE (AI) TOOLKIT MARKET 360º SYNOPSIS, 2024 – 2030
2.2 BUSINESS TRENDS
2.2.1 TOTAL ADDRESSABLE MARKET (TAM), 2024 – 2030
2.3 REGIONAL TRENDS
2.4 TYPE TRENDS
2.5 COMPONENT TRENDS
2.6 APPLICATION TRENDS
2.7 END-USE TRENDS
CHAPTER 3 ARTIFICIAL INTELLIGENCE (AI) TOOLKIT INDUSTRY INSIGHTS
3.1 IMPACT OF COVID-19
3.2 INDUSTRY ECOSYSTEM ANALYSIS
3.3 TECHNOLOGY & INNOVATION LANDSCAPE
3.4 PATENT ANALYSIS
3.5 KEY NEWS AND INITIATIVES
3.5.1 PARTNERSHIP/COLLABORATION
3.5.2 MERGER/ACQUISITION
3.5.3 INVESTMENT
3.5.4 PRODUCT LAUNCH & INNOVATION
3.6 REGULATORY LANDSCAPE
3.7 IMPACT FORCES
3.7.1 GROWTH DRIVERS
3.7.1.1 INCREASING ADOPTION OF AI AND ML ACROSS INDUSTRIES
3.7.1.2 GROWING FOCUS ON AI SECURITY AND PRIVACY
3.7.1.3 INCREASING INVESTMENT IN AI TOOLS
3.7.1.4 RISE IN INCLINATION TOWARDS AUTOMATION AND DIGITALIZATION
3.7.2 INDUSTRY PITFALLS & CHALLENGES
3.7.2.1 COMPLEXITY CONCERNS
3.7.2.2 SECURITY AND PRIVACY CONCERNS.
3.8 GROWTH POTENTIAL ANALYSIS
3.9 PORTER’S ANALYSIS
3.10 PESTEL ANALYSIS
CHAPTER 4 COMPETITIVE LANDSCAPE
4.1 INTRODUCTION
4.2 COMPANY MARKET SHARE
4.3 COMPETITIVE ANALYSIS OF MAJOR MARKET PLAYERS
4.3.1 GOOGLE LLC
4.3.2 MICROSOFT CORPORATION
4.3.3 AMAZON WEB SERVICES
4.3.4 IBM CORPORATION
4.3.5 INTEL CORPORATION
4.3.6 NVIDIA CORPORATION
4.3.7 META PLATFORM INC.
4.4 COMPETITIVE POSITIONING MATRIX
4.5 STRATEGIC OUTLOOK MATRIX
CHAPTER 5 ARTIFICIAL INTELLIGENCE (AI) TOOLKIT MARKET ESTIMATES & FORECAST, BY TYPE (REVENUE)
5.1 KEY TRENDS, BY TYPE
5.2 OPEN SOURCE
5.3 COMMERCIAL
CHAPTER 6 ARTIFICIAL INTELLIGENCE (AI) TOOLKIT MARKET ESTIMATES & FORECAST, BY COMPONENT (REVENUE)
6.1 KEY TRENDS, BY COMPONENT
6.2 HARDWARE
6.3 SOFTWARE
6.4 SERVICES
CHAPTER 7 ARTIFICIAL INTELLIGENCE (AI) TOOLKIT MARKET ESTIMATES & FORECAST, BY APPLICATION (REVENUE)
7.1 KEY TRENDS, BY APPLICATION
7.2 NATURAL LANGUAGE PROCESSING
7.3 MACHINE LEARNING
7.4 COMPUTER VISION
7.5 OTHERS
CHAPTER 8 ARTIFICIAL INTELLIGENCE (AI) TOOLKIT MARKET ESTIMATES & FORECAST, BY END-USE (REVENUE)
8.1 KEY TRENDS, BY END-USE
8.2 IT & TELECOM
8.3 RETAIL AND E-COMMERCE
8.4 BFSI
8.5 MANUFACTURING
8.6 ENERGY AND UTILITY
8.7 GOVERNMENT
8.8 OTHERS
CHAPTER 9 ARTIFICIAL INTELLIGENCE (AI) TOOLKIT MARKET ESTIMATES & FORECAST, BY REGION (REVENUE)
9.1 KEY TRENDS, BY REGION
9.2 NORTH AMERICA
9.2.1 U.S.
9.2.2 CANADA
9.3 EUROPE
9.3.1 UK
9.3.2 GERMANY
9.3.3 FRANCE
9.3.4 ITALY
9.3.5 SPAIN
9.3.6 RUSSIA
9.4 ASIA PACIFIC
9.4.1 CHINA
9.4.2 INDIA
9.4.3 JAPAN
9.4.4 SOUTH KOREA
9.4.5 SOUTHEAST ASIA
9.4.6 ANZ
9.5 LATIN AMERICA
9.5.1 BRAZIL
9.5.2 MEXICO
9.5.3 ARGENTINA
9.6 MEA
9.6.1 UAE
9.6.2 SAUDI ARABIA
9.6.3 SOUTH AFRICA
CHAPTER 10 COMPANY PROFILES
10.1 AMAZON.COM, INC.
10.2 DATABRICKS, INC.
10.3 DATAROBOT
10.4 GOOGLE LLC
10.5 H2O.AI
10.6 HPE
10.7 IBM CORPORATION
10.8 INTEL CORPORATION
10.9 META PLATFORM INC.
10.10 MICROSOFT CORPORATION
10.11 NVIDIA CORPORATION
10.12 SALESFORCE, INC.
10.13 SAS
10.14 TERADATA
10.15 THALES GROUP
CHARTS & FIGURES
FIG 1 GMI’S REPORT COVERAGE IN THE GLOBAL ARTIFICIAL INTELLIGENCE (AI) TOOLKIT MARKET
FIG 2 INDUSTRY SEGMENTATION
FIG 3 FORECAST CALCULATION
FIG 4 PROFILE BREAK-UP OF PRIMARY RESPONDENTS
FIG 5 ARTIFICIAL INTELLIGENCE (AI) TOOLKIT MARKET 360º SYNOPSIS, 2024 – 2030
FIG 6 INDUSTRY ECOSYSTEM ANALYSIS
FIG 7 PROFIT MARGIN ANALYSIS
FIG 8 GROWTH POTENTIAL ANALYSIS
FIG 9 PORTER’S ANALYSIS
FIG 10 PESTEL ANALYSIS
FIG 11 COMPETITIVE ANALYSIS OF MAJOR MARKET PLAYERS
FIG 12 COMPETITIVE POSITIONING MATRIX
FIG 13 STRATEGIC OUTLOOK MATRIX
FIG 14 ARTIFICIAL INTELLIGENCE (AI) TOOLKIT MARKET, BY TYPE, 2023 & 2030
FIG 15 ARTIFICIAL INTELLIGENCE (AI) TOOLKIT MARKET, BY COMPONENT, 2023 & 2030
FIG 16 ARTIFICIAL INTELLIGENCE (AI) TOOLKIT MARKET, BY APPLICATION, 2023 & 2030
FIG 17 ARTIFICIAL INTELLIGENCE (AI) TOOLKIT MARKET, BY END-USE, 2023 & 2030
FIG 18 SWOT ANALYSIS, AMAZON.COM, INC.
FIG 19 SWOT ANALYSIS, DATABRICKS, INC.
FIG 20 SWOT ANALYSIS, DATAROBOT
FIG 21 SWOT ANALYSIS, GOOGLE LLC
FIG 22 SWOT ANALYSIS, H2O.AI
FIG 23 SWOT ANALYSIS, HPE
FIG 24 SWOT ANALYSIS, IBM CORPORATION
FIG 25 SWOT ANALYSIS, INTEL CORPORATION
FIG 26 SWOT ANALYSIS, META PLATFORM INC.
FIG 27 SWOT ANALYSIS, MICROSOFT CORPORATION
FIG 28 SWOT ANALYSIS, NVIDIA CORPORATION
FIG 29 SWOT ANALYSIS, SALESFORCE, INC.
FIG 30 SWOT ANALYSIS, SAS
FIG 31 SWOT ANALYSIS, TERADATA
FIG 32 SWOT ANALYSIS, THALES GROUP
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