Artificial Intelligence Toolkit Market: Global Analysis, Opportunities And Forecast To 2032
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.
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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.
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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.
Partial chapters of report table of contents
(TOC):
Chapter
2 Executive Summary
2.1 Artificial
intelligence (AI) toolkit market 360ยบ 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
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