Artificial Intelligence Toolkit Market Size - By Type, Component, Application, End-use, Regional Outlook & Forecast, 2023

Description

List of Tables

Artificial intelligence (AI) toolkit market size is projected to expand at over 24% CAGR from 2023 to 2032, due to the increasing integration of AI technologies across industries, driven by the continuous demand for automation, efficiency, and data-driven decision-making. The advancements in machine learning algorithms, natural language processing, and computer vision are accelerating the adoption of AI toolkits. For instance, in November 2023, German enterprise software company SAP launched a set of generative AI tools and extensions for its enterprise resource planning (ERP) software suite, SAP Business Technology Platform.

Additionally, the rise of edge computing coupled with the higher availability of cloud-based AI solutions is enhancing the accessibility and scalability for businesses. The growing need for robust AI development frameworks, user-friendly tools, and the proliferation of AI-driven applications will also fuel the industry growth.

The AI toolkit market is segregated into type, component, application, end-use, and region.

In terms of component, the market value from the software segment is estimated to rise at appreciable CAGR between 2023 and 2032, owing to the growing demand for advanced AI algorithms and frameworks. The presence of robust software components helps empower developers with the tools needed for efficient AI model development and deployment. The availability of user-friendly and versatile software solutions will also fuel the widespread adoption of AI toolkits, driving innovations across diverse industries.

Artificial intelligence toolkit industry share from the computer vision application segment is projected to record significant CAGR through 2032, owing to the increasing demand for advanced visual recognition capabilities. AI toolkits equipped with computer vision applications find widespread use in industries such as healthcare, automotive, and retail. Rising integration in image and video analysis, object detection, and autonomous systems development will further influence the segment growth.

Regionally, the Asia Pacific AI toolkit industry is slated to expand at rapid pace between 2023 and 2032. The growth can be attributed to the rapid technological advancements, widespread digital transformation initiatives, and the increasing adoption of AI across industries. Additionally, the proactive approach towards AI innovation, research, and strategic partnerships is driving the regional demand for AI toolkits for catering to diverse industry requirements.

Product Code: 7331

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 360 degree synopsis, 2018 - 2032
2.2 Business trends
- 2.2.1 Total Addressable Market (TAM), 2023 - 2032
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, 2022

4.1 Introduction
4.2 Company market share, 2022
4.3 Competitive analysis of major market players, 2022
- 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, 2022
4.5 Strategic outlook matrix, 2022

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